From 5c98fdf5c88f6a89d58f865a94bb52ea5e1b5fb4 Mon Sep 17 00:00:00 2001 From: BrendaHijmans <42644481+BrendaHijmans@users.noreply.github.com> Date: Wed, 4 Sep 2024 09:57:38 +0200 Subject: [PATCH] feat: update flat model and demo data (#4169) --- .../resources/expected-catalogue-types.ts | 9 +- .../applications/datacatalogue/Catalogues.csv | 18 +- .../applications/datacatalogue/Cohorts.csv | 141 - .../{Contacts.csv => Collection contacts.csv} | 2 +- .../datacatalogue/Collection counts.csv | 1 + .../{Datasets.csv => Collection datasets.csv} | 48 +- ...ation.csv => Collection documentation.csv} | 2 +- .../datacatalogue/Collection events.csv | 124 +- ...sv => Collection external identifiers.csv} | 2 +- ... resources.csv => Collection linkages.csv} | 2 +- .../Collection organisations.csv | 184 + .../datacatalogue/Collection publications.csv | 139 + ...ts.csv => Collection subcohort counts.csv} | 2 +- ...bcohorts.csv => Collection subcohorts.csv} | 2 +- .../datacatalogue/Collection variables.csv | 1003 + .../datacatalogue/Collections.csv | 255 + .../applications/datacatalogue/DAPs.csv | 4 - .../datacatalogue/Data sources.csv | 18 - .../applications/datacatalogue/Databanks.csv | 73 - ...taset mappings.csv => Mapped datasets.csv} | 32 +- .../datacatalogue/Mapped variables.csv | 5911 ++++ .../applications/datacatalogue/Mappings.csv | 1 - .../applications/datacatalogue/Models.csv | 7 - .../datacatalogue/Network variables.csv | 1009 - .../applications/datacatalogue/Networks.csv | 10 - .../datacatalogue/Organisations.csv | 149 - .../datacatalogue/Publications.csv | 173 - .../Quantitative information.csv | 1 - .../datacatalogue/Repeated variables.csv | 2774 -- .../applications/datacatalogue/Studies.csv | 17 - .../datacatalogue/Variable mappings.csv | 27441 ---------------- .../datacatalogue/Variable values.csv | 52 +- .../applications/datacatalogue/Variables.csv | 11886 +++---- data/_models/shared/Collections.csv | 13 +- data/_ontologies/Collection types FLAT.csv | 1 - 35 files changed, 13797 insertions(+), 37709 deletions(-) delete mode 100644 data/_demodata/applications/datacatalogue/Cohorts.csv rename data/_demodata/applications/datacatalogue/{Contacts.csv => Collection contacts.csv} (98%) create mode 100644 data/_demodata/applications/datacatalogue/Collection counts.csv rename data/_demodata/applications/datacatalogue/{Datasets.csv => Collection datasets.csv} (92%) rename data/_demodata/applications/datacatalogue/{Documentation.csv => Collection documentation.csv} (95%) rename data/_demodata/applications/datacatalogue/{External identifiers.csv => Collection external identifiers.csv} (72%) rename data/_demodata/applications/datacatalogue/{Linked resources.csv => Collection linkages.csv} (68%) create mode 100644 data/_demodata/applications/datacatalogue/Collection organisations.csv create mode 100644 data/_demodata/applications/datacatalogue/Collection publications.csv rename data/_demodata/applications/datacatalogue/{Subcohort counts.csv => Collection subcohort counts.csv} (91%) rename data/_demodata/applications/datacatalogue/{Subcohorts.csv => Collection subcohorts.csv} (99%) create mode 100644 data/_demodata/applications/datacatalogue/Collection variables.csv create mode 100644 data/_demodata/applications/datacatalogue/Collections.csv delete mode 100644 data/_demodata/applications/datacatalogue/DAPs.csv delete mode 100644 data/_demodata/applications/datacatalogue/Data sources.csv delete mode 100644 data/_demodata/applications/datacatalogue/Databanks.csv rename data/_demodata/applications/datacatalogue/{Dataset mappings.csv => Mapped datasets.csv} (64%) create mode 100644 data/_demodata/applications/datacatalogue/Mapped variables.csv delete mode 100644 data/_demodata/applications/datacatalogue/Mappings.csv delete mode 100644 data/_demodata/applications/datacatalogue/Models.csv delete mode 100644 data/_demodata/applications/datacatalogue/Network variables.csv delete mode 100644 data/_demodata/applications/datacatalogue/Networks.csv delete mode 100644 data/_demodata/applications/datacatalogue/Organisations.csv delete mode 100644 data/_demodata/applications/datacatalogue/Publications.csv delete mode 100644 data/_demodata/applications/datacatalogue/Quantitative information.csv delete mode 100644 data/_demodata/applications/datacatalogue/Repeated variables.csv delete mode 100644 data/_demodata/applications/datacatalogue/Studies.csv delete mode 100644 data/_demodata/applications/datacatalogue/Variable mappings.csv diff --git a/backend/molgenis-emx2-typescript/src/test/resources/expected-catalogue-types.ts b/backend/molgenis-emx2-typescript/src/test/resources/expected-catalogue-types.ts index c7aa8bf3df..96210b36ef 100644 --- a/backend/molgenis-emx2-typescript/src/test/resources/expected-catalogue-types.ts +++ b/backend/molgenis-emx2-typescript/src/test/resources/expected-catalogue-types.ts @@ -1,4 +1,4 @@ -// Generated (on: 2024-08-22T10:48:44.823278) from Generator.java for schema: catalogue +// Generated (on: 2024-09-02) from Generator.java for schema: catalogue export interface IFile { id?: string; @@ -329,8 +329,6 @@ export interface ICollections { recordTrigger?: string; subcohorts?: ICollectionSubcohorts[]; collectionEvents?: ICollectionEvents[]; - datasets?: ICollectionDatasets[]; - samplesets?: ICollectionSamplesets[]; collections?: ICollections[]; partOfCollections?: ICollections[]; numberOfParticipants?: number; @@ -356,6 +354,8 @@ export interface ICollections { peopleInvolved?: ICollectionContacts[]; organisationsInvolved?: ICollectionOrganisations[]; networksInvolved?: ICollections[]; + datasets?: ICollectionDatasets[]; + samplesets?: ICollectionSamplesets[]; areasOfInformation?: IOntologyNode[]; areasOfInformationRwd?: IOntologyNode[]; qualityOfLifeOther?: string; @@ -377,9 +377,8 @@ export interface ICollections { hasIdentifier?: boolean; identifierDescription?: string; prelinked?: boolean; - linkageDescription?: string; + linkageOptions?: string; linkagePossibility?: boolean; - linkagePossibilityDescription?: string; linkedCollections?: ICollectionLinkages[]; informedConsentType?: IOntologyNode; informedConsentRequired?: IOntologyNode; diff --git a/data/_demodata/applications/datacatalogue/Catalogues.csv b/data/_demodata/applications/datacatalogue/Catalogues.csv index 3f27337198..8786375bea 100644 --- a/data/_demodata/applications/datacatalogue/Catalogues.csv +++ b/data/_demodata/applications/datacatalogue/Catalogues.csv @@ -1,9 +1,9 @@ -network,type,description -LifeCycle,project,a description about the project -ATHLETE,project,a description about the project -IPEC,theme,a description about the project -EUChildNetwork,project,a description about the project -OOM,project,a description about the project -LongITools,project,a description about the project -testNetwork1,theme,a description about the project -testNetworkofNetworks,project,a description about the project +network,type,publisher,name,description +LifeCycle,project,,LifeCycle,to be filled out +ATHLETE,project,,ATHLETE,to be filled out +IPEC,theme,,IPEC,to be filled out +EUChildNetwork,project,,EUChildNetwork,to be filled out +OOM,project,,OOM,to be filled out +LongITools,project,,LongITools,to be filled out +testNetwork1,theme,,testNetwork1,to be filled out +testNetworkofNetworks,project,,testNetworkofNetworks,to be filled out diff --git a/data/_demodata/applications/datacatalogue/Cohorts.csv b/data/_demodata/applications/datacatalogue/Cohorts.csv deleted file mode 100644 index 212017c7b2..0000000000 --- a/data/_demodata/applications/datacatalogue/Cohorts.csv +++ /dev/null @@ -1,141 +0,0 @@ -id,pid,acronym,name,local name,keywords,website,lead organisation,additional organisations,description,contact email,type,type other,design,design description,design schematic,design schematic_filename,collection type,logo,logo_filename,number of participants,number of participants with samples,countries,regions,population age groups,inclusion criteria,other inclusion criteria,start year,end year,population disease,population oncology topology,population oncology morphology,prelinked,linkage possibility description,release type,release description,linkage options,data holder,data access conditions,data use conditions,data access conditions description,data access fee,design paper,publications,informed consent type,funding statement,acknowledgements,supplementary information -CONSTANCES,,CONSTANCES,Cohorte des Consultants des Centres d’Examens,,,https://www.constances.fr/,INSERM,,,,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,220000,,France,,Adult (18+ years),,,2012,2019,,,,,,,,,,,,,,https://doi.org/10.1007/s10654-015-0096-4,,,,, -G21,,,Generation 21,Geraç,,http://www.geracao21.com/pt/,ISPUP,,,,Birth cohort,,Longitudinal,,,,,,,8647,,Portugal,,"Newborn (0-1 months),Child (2-12 years),Adolescent (13-17 years)",,,2005,,,,,,,,,,,,,,,,,,,, -mCRC-VHIO,,mCRC-VHIO,metastatic Colorrectar Cancer - VHIO,,,,VHIO,,,xvillalobos@vhio.net,Clinical cohort,,Cross-sectional,,,,Retrospective,,,116,,,,,,,,,,,,,,,,,,disease specific research,,,,,,,,, -FORCE-NEN,,FORCE-NEN,InFrastructure fOr Rare Cancers in the nEtherlands – Neuroendocrine Neo,,,https://www.ikdoemeemetforce.nl/,"UMCU,UMCG","MUMC,NKI,AmsterdamUMC (VUmc),EMC,Maxima MC",Multicenter Clinical Biobank with primary object to determine the value of ctDNA in the diagnosis and treatment of Neuroendocrine Neoplasms.,force-nen@umcutrecht.nl,"Clinical cohort,Biobank",,Longitudinal,,,,"Retrospective,Prospective",,,,,Netherlands (the),,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",,,2022,,,,,,,Closed dataset,,,UMCU,disease specific research,"collaboration required,ethics approval required,project specific restriction",,,,,,FORCE is made possible by a grant from the KWF Dutch Cancer Society (13363),, -FORCE-NEN collections,,,FORCE-NEN collections,,,https://www.ikdoemeemetforce.nl/,"UMCU,UMCG","MUMC,NKI,AmsterdamUMC (VUmc),EMC,Maxima MC",,,Biobank,,Longitudinal,,,,Retrospective,,,,,Netherlands (the),,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",,,2022,,,,,,,Closed dataset,,,UMCU,disease specific research,"collaboration required,ethics approval required,project specific restriction",,,,,,FORCE is made possible by a grant from the KWF Dutch Cancer Society (13363),, -CON,CON,CON,Consumer cohort,CON,"consumer, supermarket, data epidemiology, cohort",https://mineindkob.dk/,SSI,,"This project aims to investigate how what we buy, and thus our diet, affects health, by analyzing purchase patterns and health information over time.","frtm@ssi.dk, mineindkob@ssi.dk","Population cohort,Registry",,Longitudinal,,,,"Retrospective,Prospective",,,407,407,Denmark,,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (80+ years)",,,2021,,,,,,,Other release type,on request,"GS1 data, FRIDA data",,,,,,,,,Through the project HEAP: https://heap-exposome.eu/ grant agreement No. 874662,,Full consent can be found at https://www.mineindkob.dk/da-DK/registration#1 -CSC,CSC,CSC,Cervical screening cohort,,"cancer, CIN, LSIL, HSIL, cytology, pathology, invitations, HPV, cervical cancer",https://nkcx.se,KI,,Cervical screening cohort comprising all women resident in Sweden aged 23-64 that are screened for human papillomavirus or cervical abnormalities.,joakim.dillner@ki.se; info@nkcx.se,"Population cohort,Registry,Biobank",,Longitudinal,,,,"Retrospective,Prospective",,,500000,500000,Sweden,,"Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65-79 years)",,,1968,,,,,,,Annually,new data from past year is imported annualy in April online,"NKCx, biobank, laboratory experiments (sequencing)",,,,"For research purposes data can be provided pseudonomized, providing there is i) an approved ethical application, ii) an approved application for data (which is to be submitted to the registry)",,,,,SKR (Swedish Municipalities and Regions) funds partly for NKCx.,"It is required to name the data source for instance in the materials and methods section as ""Swedish National Cervical Screening Registry (NKCx)""", -HPV,,HPV,HPV vaccination cohort,,"Community randomized, HPV vaccination, gender-neutral",https://projects.tuni.fi/hpv-rokotiitus/,TUNI,,"Community-randomized HPV vaccination trial cohort: gender-neutral HPV16/18 vaccination arm, girls-only HPV16/18 vaccination and hepatitis B-virus (HBV) vaccination of boys arm, and arm gender-neutral HBV vaccination arm. Total of boys (31,117) and girls (30,139), 9482 (60,7 %) were HPV vaccinated and 6131 (39,3 %) were HBV vaccinated at the age of 14 and followed up at he age of 18, 22, 25 and 28.","tiina.eriksson@tuni.fi, ville.pimenoff@ki.se, karolina.louvanto@tuni.fi, matti.lehtinen@tuni.fi",Clinical trial,,Longitudinal,,,,Prospective,,,61256,15613,Finland,,"Adolescent (13-17 years),Young adult (18-24 years),Adult (25-44 years)",,,2007,,,,,,,Other release type,not determined; new data still created,,,,,,,,,,"A total of more than 40 million euros of grants by Prof. Matti Lehtinen from Finnish and Nordic Cancer Cociety, Finnish Academy, EU FP5 prgram, FP6 program, FP7 program, Merck&Co, GlaxoSmithKline Biologicals, IMI, Swedish Cancerfonden, Jane and aatos Erkko Foundation, EU Horizon and Finnish Cancer Society.",Original articles and data owners need to be cited., -LSC,LSC,LSC,Lifestyle cohort,TirolGESUND,intermittent fasting; smoking cessation; DNA methylation; prevention;,https://www.uibk.ac.at/,UIBK,,"Data from 6-month intervention trial looking at the effects of intermittent fasting or smoking cessation in healthy women aged 30-60 with risk factors for cancer or other diseases (elevanted BMI, heavy smoking).",martin.widschwendter@uibk.ac.at,"Population cohort,Clinical trial",,Longitudinal,,,,Prospective,,,156,156,Austria,,"Adult (25-44 years),Middle-aged (45-64 years)",,,2021,,,,,,,Other release type,"Data will be embargoed until initial publication of the study results. Personally identifiable data will be under restricted access, controlled by a data access committee. A data access form will need to be filled in providing data use. Use of data is for scientific purposes only and a cooperation agreement has to be signed for use.",,,,,"Data will be embargoed until initial publication of the study results. Personally identifiable data will be under restricted access, controlled by a data access committee. A data access form will need to be filled in providing data use. Use of data is for scientific purposes only and a cooperation agreement has to be signed for use.",,,,,"This study received funding by the European Union’s Horizon 2020 Research and Innovation Program, HEAP under grant agreement No. 874662 and the Land","Any users must acknowledge Prof. Martin Widschwendter, Dr Chiara Herzog, and the EUTOPS Institute and cite the relevant key publications out of the project.", -BAMSE,,,BAMSE,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -HBCS,,HBCS,Helsinki Birth Cohort Study,,,https://thl.fi/en/web/thlfi-en/research-and-expertwork/projects-and-programmes/helsinki-birth-cohort-study-hbcs-idefix,,,,,Birth cohort,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -MAT,MAT,MAT,Maternity cohort,MAT,"Biobank, maternity cohort, serum",https://www.ppshp.fi/Tutkimus-ja-opetus/Biopankki/Pages/default.aspx,,,"The Finnish Maternity Cohort (FMC) in Northern Finland Biobank Borealis is a collection of serum samples comprising virtually the entire population of Finnish females, who have been pregnant since 1983. FMC is linkable with population-based health registers including the Finnish Cancer Registry and the Medical Birth Register. Linkage of FMC data and samples with pathological archives of Finnish Biobanks provides an opportunity to expand the scope of research into interaction of biological and genomic factors in association with various diseases. Serial prediagnostic serum samples and comprehensive data accessible over three generations provide possibilities for unique study settings.","hanna.ohman@ppshp.fi, ville.pimenoff@oulu.fi, helja-marja.surcel@oulu.fi",Biobank,,Longitudinal,,,,Retrospective,,,950000,950000,Finland,,"Adolescent (13-17 years),Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (80+ years)",,,1983,2017,,,,,,Closed dataset,,FMC is linkable with population-based health registers including the Finnish Cancer Registry and the Medical Birth Register. Linkage of FMC data and samples with pathological archives of Finnish Biobanks provides an opportunity to expand the scope of research into interaction of biological and genomic factors in association with various diseases.,,,,,,https://doi.org/10.1002/cam4.1222,,,European Science Infrastructure Services (https://esis.fi/),European Science Infrastructure Services (https://esis.fi/),European Science Infrastructure Services (https://esis.fi/) -WDC,WDC,WDC,Wearable data collection study,WDC,"wearables, exposome, pregnancy, environmental exposure",,,"UOULU,KI,TUNI","Longitudinal cohort of pregnant and non-pregnant women for exposome estimation from blood, saliva, sweat and personal aerosols.","ville.pimenoff@oulu.fi, ville.pimenoff@ki.se, matti.lehtinen@tuni.fi",Population cohort,,Longitudinal,Longitudinal,,,Prospective,,,100,100,Finland,,Adult (25-44 years),,,2022,2022,,,,,,Closed dataset,,,,,,,,https://doi.org/10.1097/EE9.0000000000000182,,,Horizon 2020 (HEAP),Contributors need to be cited., -EDEN,,EDEN,Study on the pre and early postnatal determinants of child health and development,,,http://eden.vjf.inserm.fr/en/,INSERM,,"The EDEN study is a French bicentric generalist cohort study (Heude et al. IJE 2016). Pregnant women were invited to participate during their prenatal visit, before the 24th week of amenorrhea, in the obstetrics and gynecology departments of the Poitiers and Nancy university hospitals. Recruitment took place from February 2003 to January 2006. The exclusion criteria were: twin pregnancy, diagnosis of insulin-dependent diabetes, inability to speak and read French, intention to move from the region within three years of inclusion . Among the women invited, 53% agreed to participate (n = 2,002). Detailed information on phenotypes and exposures were collected through questionnaires from pregnancy until 8 years and through clinical examinations of the mother (at 24 weeks of amenorrhoea, at delivery and 5–6 years after delivery) and the child (at birth and 1, 3 and 5–6 years, including cognitive assessments at 3 and 5–6 years). At 5–6 years, 1255 children",,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,2002,,,,,,,2003,2006,,,,,,Continuous,,,,health or medical or biomedical research,,"- Submission of the project proposal to the cohort PI (Barbara Heude) -- Approval of the project by the EDEN steering committee (takes 1 month) -​- Signature of a data access agreement (DAA) -- Data made available for analysis by the data manager (credentials will be sent to the person requesting access to the",,https://doi.org/10.1093/ije/dyv151,,,"The study relied on many different sources of funding including Inserm, University Paris 11, the French Medical Research Foundation and the National Research Agency and also from national and European programs and project grants. A more comprehensive list of funders can be found on the EDEN website, along with other information","The authors are extremely grateful to all the families who took part in this study, the midwives and psychologists for recruiting and following -them, and the whole EDEN team, including research scientists, engineers, technicians and managers.", -PELAGIE,,PELAGIE,"Perturbateurs Endocriniens: Étude Longitudinale sur les Anomalies de la Grossesse, l’Infertilit","Perturbateurs Endocriniens: Étude Longitudinale sur les Anomalies de la Grossesse, l’Infertilit",Pregnancy; Child; environment; growth; development; neurodevelopment; pesticides; solvant; occupation,http://www.pelagie-inserm.fr/,INSERM,,"The PELAGIE mother-child cohort was set up with the aim to study the effect of prenatal exposure to environmental and occupational chemicals on reproduction and child development. The PELAGIE cohort enrolled 3421 pregnant women from Brittany, France between 2002 and 2006. Offsprings were followed at delivery (n=3439) and at 2 (n=1506), 6 (n=1406) and 12 (n=1211) years old. Almost all women provided a urine samples at inclusion. Cord blood samples, maternal hair samples and pieces of placenta were collected for 55%, 60%, and 57% of the participants, respectively. A subgroup of 287 and 559 children performed a more in-depth follow-up including a clinical examination and biological sample collection at age 6 and 12 years old, respectively.",,Population cohort,,Longitudinal,,,,Prospective,,,3421,3400,France,Bretagne,"Prenatal,Newborn (0-1 months),Child (2-12 years)",,,2002,2006,,,,,,,Once a follow-up is completed and data have been processed.,No,,,,Send a first request to Cécile Chevrier (cecile.chevrier@inserm.,,,"https://doi.org/10.1289/ehp.1002775,https://doi.org/10.1186/1476-069X-12-102,https://doi.org/10.1016/j.envint.2015.05.009",,"Depends on the data used (birth, 2, 6, 12 years old). Main funders includes: Inserm, Institut national de Veille Sanitaire, Ministère du travail, Ministère de la recherche, Agence Nationale de la Recherche, Afsset/Anses, DRASS de Bretagne, EU commission, Programme 189 Post Grenelle, Fondation de","We are grateful to the midwives, obstetricians, gynecologists, sonographers, pediatricians, and families who participated in the study.", -BIB,,BIB,Born in Bradford,,Multicultural,https://borninbradford.nhs.uk/,BRI,,"Born in Bradford (BiB) started in 2007 as a response to the poor health outcomes for children in Bradford. Pregnant women were recruited when they attended the Bradford Royal Infirmary for their routine maternity care. Participants were asked to complete a questionnaire about different aspects of their lives including demographics information, physical and mental health and socio-economic information. - -Between 2007 and 2011, 12,453 pregnant women were recruited and 3,353 of their partners. Participants also gave permission for routine data linkage for themselves and their children. The BiB cohort is split between approximately 50% South Asian and 50% non-South Asian participants. - -BiB has completed a number of sub-sample studies including BiB1000, which focused on exploring ethnic variation and risk factors of childhood obesity. Data collection included questionnaires with parents when the children were between 6 and 36 months at 6 monthly intervals.The ALLIN and MeDALL studies focused on the relationships between childhood allergies and infections. Data collection for these studies were done via a questionnaire and, for the MeDALL study, children were asked to have a skin allergy test. - -Since 2016, BiB have undertaken a full cohort follow-up compromising of home visits for data collection through questionnaires, school visits where children carried out cognitive assessments, and a child measurement programme where children were weighed and measured, had their activity levels measured, and were asked to give a blood sample. - -From the findings of these studies, BiB have developed a range of additional research projects such as evaluating and developing new interventions to improve health; for example, focusing on reducing childhood obesity, increasing physical activity, improving oral health and improving mental wellbeing. BiB have gone beyond functioning as an observational birth cohort and are actively trying to build and strengthen local research capacity and translate evidence to practice.",,Birth cohort,,Longitudinal,,,,"Retrospective,Prospective",,,12453,,,Bradford,,,,2007,,,,,,,Closed dataset,,No,,general research use,return to database or resource,"Born in Bradford allows researchers to apply to access the study data through the BiB Executive Group. Researchers need to submit an EOI form to borninbradford@bthft.nhs.uk and the EOI will be reviewed at the monthly BiB Exec. - -Information about the different data sets are available here: https://borninbradford.nhs.uk/research/documents-data/ - -More information about how to access BiB data can be found here: https://borninbradford.nhs.uk/research/how-to-access-data/",,https://doi.org/10.1093/ije/dys112,"https://doi.org/10.14301/llcs.v4i2.221,https://doi.org/10.1186/s12889-019-7222-2,https://doi.org/10.1186/1471-2458-8-327",,"BiB receives core infrastructure funding from the Wellcome Trust (WT101597MA) and the National Institute for Health Research (NIHR) under its Applied Research Collaboration Yorkshire and Humber [NIHR200166]. Further support for genome-wide and multiple ‘omics measurements is from the UK Medical Research Council (G0600705), National Institute of Health Research (NF-SI-0611-10196), US National Institute of Health (R01 DK10324), and the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007–2013) / ERC grant agreement no 669545. The recent follow-up of BiB participants was funded by a joint grant from the UK Medical Research Council and UK Economic and Social Science Research Council (MR/N024397/1) and a grant from the British Heart Foundatio","Born in Bradford is only possible because of the enthusiasm and commitment of the children and parents in BiB. We are grateful to all the participants, health professionals, schools and researchers who have made Born in Bradford happen.", -GenR,,GenR,The Generation R Study,,multi ethnic population-based prospective cohort study from fetal life onwards,https://generationr.nl/,EMC,,"The Generation R Study is a population-based prospective cohort study from fetal life until adulthood and is conducted in Rotterdam, the second largest city in the Netherlands. The study is designed to identify early environmental and genetic causes and causal pathways leading to normal and abnormal growth, development and health from fetal life, childhood and young adulthood. This multidisciplinary study focuses on several health outcomes including behaviour and cognition, body composition, eye development, growth, hearing, heart and vascular development, infectious disease and immunity, oral health and facial growth, respiratory health, allergy and skin disorders of children and their parents. Main exposures of interest include environmental, endocrine, genomic (genetic, epigenetic, microbiome), lifestyle related, nutritional and socio-demographic determinants. - -The Generation R study enrolled 9,153 mothers with a delivery date from April 2002 until January 2006, who participated with a total of 9,778 pregnancies in the study from which 9,901 children were expected to be born; the mothers gave birth to 9,749 live born children.",mariekewelten@gmail.com,"Population cohort,Birth cohort",,Longitudinal,"The design of Generation R has been described in detail previously, the following information was extracted from the most recent paper on design and cohort update 2017 (https://doi.org/10.1007/s10654-016-0224-9): - The Generation R Study is a population-based prospective cohort study from fetal life until adulthood and is conducted in Rotterdam, the second largest city in the Netherlands. The study is designed to identify early environmental and genetic causes and causal pathways leading to normal and abnormal growth, development and health from fetal life, childhood and young adulthood. This multidisciplinary study focuses on several health outcomes including behaviour and cognition, body composition, eye development, growth, hearing, heart and vascular development, infectious disease and immunity, oral health and facial growth, respiratory health, allergy and skin disorders of children and their parents. Main exposures of interest include environmental, endocrine, genomic (genetic, epigenetic, microbiome), lifestyle related, nutritional and socio-demographic determinants. - - Pregnant women with an expected delivery date between April 2002 and January 2006 living in Rotterdam were eligible for participation in the study. In total, 9778 mothers were enrolled in the study, who gave birth to 9749 live born children. Extensive assessments are performed in mothers, fathers and their children. Measurements were planned in early pregnancy (gestational age <18 weeks), mid pregnancy (gestational age 18–25 weeks) and late pregnancy (gestational age >25 weeks). The fathers were assessed once during the pregnancy of their partner. The children form a prenatally recruited birth cohort that will be followed at least until young adulthood. In the preschool period, which in the Netherlands refers to the period from birth until the age of 4 years, data collection was performed by a home-visit at the age of 3 months, and by repeated questionnaires and routine child health centers visits. Information from these routine visitobtained and used for the study. Additional detailed measurements of fetal and postnatal growth and development were conducted in a randomly selected subgroup of Dutch children and their parents at a gestational age of 32 weeks and postnatally at the ages of 1.5, 6, 14, 24, 36 and 48 months in a dedicated research center. - -Around the ages of 6 and 10 years all children and their parents were invited to visit our research center in the Erasmus MC-Sophia Children’s Hospital to participate in hands-on measurements, advanced imaging modalities, behavioural observations and biological sample collection. MRI scans of all participating children were made in order to image abdominal composition, brain, lungs, cardiovascular system, fat tissue, kidney, liver, and hip development. Furthermore, the parents received 6 questionnaires during this period. Children also received their own questionnaire around the age of 10. Information from municipal health services, schools and general practicionars has also been cleedResponse at baseline was 61%, and general follow-up rates until the age of 10 years were around 80%.",,,"Retrospective,Prospective",,,9901,,Netherlands (the),Rotterdam,"Prenatal,Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years)",,,2001,,,,,,,Periodically,"Upon completion of follow-up, data will be cleaned for usage by the Generation R study group and then harmonized and uploaded for ECCN availability.",,,,"""not for profit, non commercial use only""","1. LifeCycle Project Research proposal has been discussed in the WP and distributed to all LifeCycle Project cohorts -2. The lead researcher sends a request to Generation R contact (primary contact for internal discussion: LifeCycle Project manager lifecycle@erasmusmc.nl). If it concerns another proposal than a LifeCycle proposal please state this. -3. The proposal is discussed in the Generation R Management Team by the involved Generation R PI -4. The involved PI notifies the lead researcher and the LifeCycle project manager of the MT outcome, with lifecycle@erasmusmc.nl in the cc. -5. In case of approval, the LifeCycle project manager will send the researcher the Generation R Data Use Agreement (DUA) or Data transfer agreement (DTA). -6. If adaptations to the DUA are requested, the LifeCycle project manager forwards the DUA to Janine Felix who will liaise with the legal team if needed; once an agreement has been reached, the completed DUA is sent to the LifeCycle project manager -7. Lead researcher returns the DUA to lifecycle@erasmusmc.nl once completed -8. The LifeCycle project manager completes the DUA: checks the DUA and has it signed by Vincent -9. The project manager finalizes the Data Access Process: - - creates the Opal-views - - emails the researcher the fully signed DUA, and the Opal-login details to access the data - - Informs Generation R contact that data access has been granted",,https://doi.org/10.1007/s10654-006-9022-0,"https://doi.org/10.1007/s10654-010-9516-7,https://doi.org/10.1111/j.1365-3016.2003.00521.x,https://doi.org/10.1007/s10654-007-9209-z,https://doi.org/10.1007/s10654-008-9309-4,https://doi.org/10.1007/s10654-012-9735-1,https://doi.org/10.1007/s10654-014-9980-6,https://doi.org/10.1007/s10654-016-0224-9,https://doi.org/10.1007/s10654-013-9768-0",,"The general design of the Generation R Study is made possible by financial support from the Erasmus - MC, University Medical Center, Rotterdam, Erasmus University Rotterdam, Netherlands - Organization for Health Research and Development (ZonMw), Netherlands Organisation for - Scientific Research (NWO), Ministry of Health, Welfare and Sport and Ministry of Youth and - Families. This project received funding from the European Union's Horizon 2020 research and innovation programme (LIFECYCLE, grant agreement No 733206, 2016; EUCAN-Connect grant agreement No 824989; ATHLETE, grant agreement No 874583). VJ received funding from a Consolidator Grant from the European Research Council (ERC-2014-CoG-648916).","The authors gratefully acknowledge the contribution of participants, research collaborators, general practitioners, hospitals, midwives, and pharmacies in Rotterdam.", -GenR Next,,GenR Next,Generation R Next,,population-based prospective cohort study from preconception onwards,https://generationr.nl/next,EMC,,"The Generation R Next Study is a population-based cohort study from preconception onwards. In total, about 3600 women are being included in the period 2017-2021. Of all included couples, about 30% is included during the preconception, about 60% during the first trimester of pregnancy and about 10% in the third trimester of pregnancy.",v.jaddoe@erasmusmc.nl,"Population cohort,Birth cohort",,Longitudinal,"The Generation R Next Study is a population-based cohort study from preconception onwards. In total, about 3600 women are being included in the period 2017-2021. Of all included couples, about 30% is included during the preconception, about 60% during the first trimester of pregnancy and about 10% in the third trimester of pregnancy. -Preconception recruitment is performed via social media, door-to-door mailings, mouth-to-mouth, and healthcare professionals. -Measurements in the parents-to-be include physical examinations, questionnaires (lifestyle, diet) and biological samples at preconception, and 6 to 13 weeks pregnancy, as well as 30 weeks of pregnancy. The data collection includes innovative embryonic/fetal and placental assessments by repeated ultrasounds at around 6, 9, 12 and 30 weeks. -Early childhood follow-up consisted of questionnaires at 1 month, 6 months and 12 months of age. A subgroup of children and their mothers was invited for measurements at the research center at ages 1 month, 6 months and 12 months.",,,"Retrospective,Prospective",,,3604,,Netherlands (the),Rotterdam,"Prenatal,Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years)",,,2017,,,,,,,Periodically,"Upon completion of follow-up, data will be cleaned for usage by the Generation R study group and then harmonized and uploaded for ECCN availability.",,,,"""not for profit, non commercial use only""","Data access conditions: -1. LifeCycle Project Research proposal has been discussed in the WP and distributed to all LifeCycle Project cohorts -2. The lead researcher sends a request to Generation R contact (primary contact for internal discussion: LifeCycle Project manager lifecycle@erasmusmc.nl). If it concerns another proposal than a LifeCycle proposal please state this. -3. The proposal is discussed in the Generation R Management Team by the involved Generation R PI -4. The involved PI notifies the lead researcher and the LifeCycle project manager of the MT outcome, with lifecycle@erasmusmc.nl in the cc. -5. In case of approval, the LifeCycle project manager will send the researcher the Generation R Data Use Agreement (DUA) or Data transfer agreement (DTA). -6. If adaptations to the DUA are requested, the LifeCycle project manager forwards the DUA to Janine Felix who will liaise with the legal team if needed; once an agreement has been reached, the completed DUA is sent to the LifeCycle project manager -7. Lead researcher returns the DUA to lifecycle@erasmusmc.nl once completed -8. The LifeCycle project manager completes the DUA: checks the DUA and has it signed by Vincent -9. The project manager finalizes the Data Access Process: - - creates the Opal-views - - emails the researcher the fully signed DUA, and the Opal-login details to access the data - - Informs Generation R contact that data access has been granted",,,,,,, -Sepages,,SEPAGES,Suivi de l'Exposition à la Pollution Atmosphérique et Effet sur la,Suivi de l'Exposition à la Pollution Atmosphérique et Effet sur la,"Novel tools for integrating early-life environmental exposures and child health, biomarkers",https://cohorte-sepages.fr/en,INSERM,,"(1) characterize finely environmental exposures during pregnancy and early life ; (2) evaluate the impact of the environment on mother-child health, focusing on three main outcomes: growth, respiratory health and neurodevelopment; (3) explore possible underlying biological pathways, focusing on those mediated by epigenetic marks, immunologic and hormonal parameters and by the gut microbiota.",,Population cohort,,Longitudinal,,,,Prospective,,,484,480,France,Auvergne-Rhône-Alpes,"Prenatal,Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years)",,,2014,,,,,,,Annually,,No,,,project specific restriction,Send a first request to Sarah Lyon-Caen (sarah.lyon-caen@univ-grenoble-alpes.fr),,https://doi.org/10.3390/ijerph16203888,"https://doi.org/10.1016/j.envpol.2021.117650,https://doi.org/10.1016/j.envint.2020.105678,https://doi.org/10.1016/j.envint.2021.106697",,"The SEPAGES cohort was supported by the European Research Council (N°311765-E-DOHaD), the European Community’s Seventh Framework Programme (FP7/2007-206 - N°308333-892 HELIX), the European Union’s Horizon 2020 research and innovation programme (N° 874583 ATHLETE Project, N°825712 OBERON Project), the French Research Agency - ANR (PAPER project ANR-12-PDOC-0029-01, SHALCOH project ANR-14-CE21-0007, ANR-15-IDEX-02 and ANR-15-IDEX5, GUMME project ANR-18-CE36-005, ETAPE project ANR - EDeN project ANR -19-CE36-0003-01), the French Agency for Food, Environmental and Occupational Health & Safety - ANSES (CNAP project EST-2016-121, PENDORE project EST-2016-121, HyPAxE project EST-2019/1/039), the Plan Cancer (Canc’Air project), the French Cancer Research Foundation Association de Recherche sur le Cancer – ARC, the French Endowment Fund AGIR for chronic diseases – APMC (projects PRENAPAR and LCI-FOT), the French Endowment Fund for Respiratory Health, the French Fund – Fondation de France","SEPAGES biospecimens are stored at Grenoble University Hospital(CHU-GA) biobank (bb-0033-00069); we would like to thank the whole CRB team, led by Pr. P. Mossuz and Mr. P. Lorimier, and in particular the technicians for the huge work of biospecimens processing and pooling: Mrs. W. Jayar and Mrs. L. Than, as well as Mr. G. Schummer. We thank the SEPAGES study group : E. Eyriey, A. Licinia, A. Vellement (Groupe Hospitalier Mutualiste, Grenoble), I. Pin, P. Hoffmann, E. Hullo, C. Llerena (Grenoble Alpes University Hospital, La Tronche), X. Morin (Clinique des Cèdres, Echirolles), A. Morlot (Clinique Belledonne, Saint-Martin d’Hères), J. Lepeule, S. Lyon-Caen, C. Philippat, I. Pin, J. Quentin, V. Siroux, R. Slama (Grenoble Alpes University, Inserm, CNRS, IAB). -We thank Mrs. A. Benlakhryfa, Mrs. L. Borges, Mr. Y. Gioria, clinical research assistants; Mrs. J. Giraud, Mrs. M. Marceau, Mrs. M-P. Martin, nurses; Mrs. E. Charvet, Mrs A. Putod, midwives; Mrs. M. Graca, Mrs. K.Gridel, Mrs. C. Pelini, Mrs Maïlys Barorkers; Mrs. A.Bossant, K. Guichardet, J-T Iltis A. Levanic, C.Martel, E. Quinteiro, S.Raffin neuropsychologists; the staff from Grenoble Center for Clinical Investigation (CIC): Prof. J.-L. Cracowski, Dr. C. Cracowski,Dr. E. Hodaj, Mrs. D. Abry, Mr. N. Gonnet and Mrs. A. Tournier. A warm thank you also to Dr. M. Althuser, Mr. S. Althuser, Dr. F. Camus-Chauvet, Mr. P. Dusonchet, Mrs. S. Dusonchet, Dr. L. Emery, Mrs. P.Fabbrizio, Prof. P. Hoffmann, Dr. D. Marchal André, Dr. X. Morin, Dr. E.Opoix, Dr. L. Pacteau, Dr. P. Rivoire, Mrs. A. Royannais, Dr. C.Tomasella, Dr. T. Tomasella, Dr. D. Tournadre, Mr. P. Viossat, Mrs. E.Volpi, Mrs. S. Rey, Dr. E. Warembourg and clinicians from Grenoble University Hospital for their support in the recruitment of the study volunteers. We also thank Mrs. A. Buchet, Mrs. SF. Caraby, Dr. J-N.Canonica, Mrs. J. Dujourdil, Dr. E. Eyriey, Prof. P. Hoffmann, Mrs. M.Jeannin, Mrs. A. Licina, Dr. X. Morin, Mrs. A. Nicolas, and all midwives from the four maternity wards of Grenole uran aras. SEPAGES data are stored thanks to Inserm RE-CO-NAI platform funded by Commissariat Général à l’Investissement, with the implication of Sophiede Visme (Inserm DSI). Many thanks to Dr. M.A. Charles, RE-CO-NAI coordinator, for her support. Finally, and importantly, we would like to express our sincere thanks to participants of the", -INMA,,INMA,INfancia y Medio Ambiente [Environment and Childhood] Project,,,https://www.proyectoinma.org,,,"INMA – INfancia y Medio Ambiente [Environment and Childhood] Project is a research network of several Spanish groups that created a project with the aim to study the paper of the more relevant environmental pollutants in the air, water and diet during the pregnancy and beginning of life, and their effects in the growth and develo",,Population cohort,,Longitudinal,,,,Prospective,,,2242,1600,Spain,"Gipuzkoa,Barcelona,Valencia","Prenatal,Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years)",,,2003,2008,,,,,,Continuous,Released once data collected and cleaned,No,,,,,,https://doi.org/10.1093/ije/dyr054,,,,, -ELFE,,ELFE,"Etude Longitudinale Française depuis l'Enfa"" (French longitudinal study of children)",,National,https://www.elfe-france.fr/en/,INSERM,,"ELFE is the first French national birth cohort. Its objective is to study determinants of the development, health and socialization of children from birth to adulthood through a multidisciplinary approach. A total of 18 329 children were recruited at birth in a random sample of maternity units in metropolitan France during 25 selected days of 2011 spread over the year. Participation rates at the age 2-month, 1- and 2-year and 3.5-year parental interviews were 92%, 86%, 82% and 80%, respectively, of contacted participants. The ELFE has an open-data policy after an 18-month exclusivity period following each release of new data. The data-access policy, study protocols, questionnaires and data catalogue can be found online: [https://www.ELFE-france.fr/en/].",,Birth cohort,,Longitudinal,,,,"Retrospective,Prospective",,,18329,,France,,,,,2011,2011,,,,,,Continuous,,yes,,health or medical or biomedical research,,"- Submission of the project proposal to the cohort PI (Marie-Aline Charles) -- Approval of the project by Elfe data access committee (takes 2 weeks)​ - Signature of a data access agreement -- Data made available for analysis by Lucinda (credentials will be sent to the person requesting access to the",,https://doi.org/10.1093/ije/dyz227,,,"The Ministries of the Environment, Health and Research provided initial funding for the ELFE cohort. -The funding for the first 5 years of childhood follow-up was obtained from the national ‘Investment for the Future’ -research funding program for a joint project bringing together the ELFE and Epipag",, -NBC1967-1976,,,NBC1967-1976,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -SWS,,SWS,Southampton Women’,,"pre-conception, pregnancy, childhood, growth, asthma, cardiovascular, mental health",https://www.mrc.soton.ac.uk/sws/,Soton,,"SWS is a population-based prospective birth cohort study of 12 583, initially non-pregnant, women aged 20–34 years, living in the city of Southampton, UK. Assessments of lifestyle, diet and anthropometry were done at study entry in 1998–2002. Women who subsequently became pregnant with singleton pregnancies were followed up during pregnancy; and their 3158 offspring have been studied i",src@mrc.soton.ac.uk,Birth cohort,,Longitudinal,,,,Prospective,,,12583,,United Kingdom of Great Britain and Northern Ireland (the),,"Young adult (18-24 years),Adult (25-44 years)",,,1998,2002,,,,,,Continuous,Upon completion of the procedures outlined above,No,,,,"Initial approach to the cohort contact with a short proposal. This will be sent to the SWS oversight group. If approved, data agreements need to be completed",,https://doi.org/10.1093/ije/dyi202,,,"The SWS is supported by grants from the Medical Research Council, National Institute for Health Research Southampton Biomedical Research Centre, British Heart Foundation, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, and the European Union’s Seventh Framework Programme (FP7/2007-2013), project EarlyNutrition (grant 289346) and from the European Union's Horizon 2020 research and innovation programme (LIFECYCLE, grant agreement No 733206). Study participants were drawn from a cohort study funded by the Medical Research Council and the Dunhill Medica",The authors are grateful to the women of Southampton who gave their time to take part in the Southampton Women’s Survey and to the research nurses and other staff who collected and processed t, -Immune-Image_Task_6.2a,,Task 6.2a,Serial CD8 PET imaging in cancer patients before and during immune checkpoint inhibition,,,,UMCG,,"Upfront imaging of CD8 (Pandit-Taskar N. et al., J Nucl Med 2018, abstract) is feasible in patients, however data on serial imaging are lacking. When T-cells encounter tumour antigens they are activated and promote lymphocyte proliferation and recruitment to the tumour site. This inflammatory response increases blood flow and vascular permeability, which can be measured with dynamic contrast enhanced (DCE) MRI. Early after starting treatment, immune activation will also lead to T-cell tumour infiltration and increased tumour cellularity, which potentially can be quantified by diffusion weighted imaging (DWI) and radiomics features derived from computational image analysis. Preliminary data suggests that texture measures can capture the spatial heterogeneity of different sites of disease and predict treatment resistance and progression-free survival in the metastatic setting. Moreover, MRI measurements that integrate whole tumour volumetry, diffusion-weighted imaging (ADC) and radiomics (texture analysis) (Larkin T.J. et al.; 2014, Booth T.C. et al., 2017; Newman A.M. et al., 2015) may provide a therapy response assessment. Preliminary data suggests that texture measures can capture the spatial heterogeneity of metastases and predict treatment resistance and progression-free survival in patients with ovarian cancer. Aim Demonstrate and validate (1) PET with a 89Zrlabelled anti-CD8 minibody, to visualize serially the presence of CD8 expressing T-lymphocytes in cancer patients receiving CIT; (2) contribution of MRI measurements of intra- and inter-site tumour heterogeneity. Study design In patients with potential relevant indication for treatment with immune checkpoint inhibition treatment (CIT) (e.g. melanoma or NSCLC) and at least one accessible lesion for biopsy, [89Zr]Zr-anti-CD8 PET imaging (1.5 mg anti human CD8 minibody [89Zr]Zr-Df-IAB22M2C, 37 MBq) will be injected and imaging will be performed before the start and 7 days before the 3rd checkpoint inhibitor administration. Whole body [89Zr]Zr-anti-CD8 distribution will be determined: tumour and normal organ radioactive tracer uptake will be quantified as standardized uptake values (SUV). Patients will undergo multi-parametric MR before and after the 1st cycle and before the 3rd cycle (drugs administered on 2-3 weekly cycles). The third and final MRI will be performed within ~9 weeks after the start of treatment, or on disease progression, whichever is sooner. All metastases determined to be suitable for MR imaging will be evaluated to assess differential tumour response and pseudo-progression. Patients will also undergo contrast-enhanced CT to determine tumour response using iRECIST. Tumour biopsies will be extensively analysed. Statistical considerations: Initial feasibility will be shown in 12 patients. Depending on the tumour type chosen the number of patients required may be increased in order to have sufficient patients with a tumour response to immune checkpoint inhibitor treatment.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -NFBC1986,,NFBC1986,Northern Finland Birth Cohort 1986,,,https://www.oulu.fi/nfbc,UOULU,,"NFBC1986 is a longitudinal one-year birth cohort study from an unselected population. The cohort included all the mothers (N=9362) with children whose expected date of birth felt between July 1st 1985 - June 30th 1986 in the two northernmost provinces on Finland (Oulu and Lapland). A small percentage of the births occurred towards the end of June 1985 and begin of July 1986. - -The number of deliveries in the cohort was 9362, which was 99% of all the deliveries taking place in the target period of the cohort. Altogether 9479 children were born into the cohort, 9432 of them live born. The original data have been supplemented by data collected with postal questionnaires at the ages of 7, 8 and 16 years and various hospital records and statistical register data. The latest data collection with clinical examinations and questionnaires was at the age of 33 years.",,Birth cohort,,Longitudinal,,,,Prospective,,,9479,,Finland,"Lapland,North Ostrobothnia","Prenatal,Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years),Young adult (18-24 years),Adult (25-44 years)",,,1985,,,,,,,Closed dataset,,yes,,health or medical or biomedical research,,https://www.oulu.fi/nfbc/materialrequest,,,"https://doi.org/10.1111/j.1365-3016.1997.tb00007.x,https://doi.org/10.1111/j.1471-0528.1993.tb12971.x",,"EU QLG1-CT-2000-01643 (EUROBLCS) Grant no. E51560, NorFA Grant no. 731, 20056, 30167, USA / NIH 2000 G DF682 Grant no. 50945",We thank all cohort members and researchers who have participated in the study. We also wish acknowledge the work of the NFBC project center., -PSYCONN,,PSYCONN,Psychosis Cohort Northern Netherlands,Psychose Cohort Noord Nederland,schizophrenia schizofrenie psychotic psychotisch psychose databank Nederland PHAMOUS EPO PROGRS PROGR-S RQMIS RQ-MIS,https://ipec-project.com,"GGZ Drenthe,GGZ Friesland,Lentis Research,UMCG","GGZ Drenthe,GGZ Friesland,Lentis Research,UMCG","PSYCONN (=Psychosis Cohort Northern Netherlands) is a combination of 3 datasets from the northern part of the Netherlands; PROGR-S (=Psychosis Recent Onset GRoningen Survey), PHAMOUS (=Pharmacotherapy Outcome and Monitoring Survey) and RQ-MIS (=RoQua Management Information System). Also, see https://umcgresearchdatacatalogue.nl/UMCG/ssr-catalogue/cohorts/MindLines. PROGR-S, initiated in 1997 without an age restriction, collects diagnostic measurements of patients with a suspected recent-onset psychotic episode or recurrent psychotic episode not diagnosed as such before. PHAMOUS, initiated in 2006, contains follow-up data of patients ≥18 years of age with a psychotic disorder who receive care from mental health care institutions in the northern part of the Netherlands (University Medical Center Groningen (UMCG)/University Center for Psychiatry (UCP), Lentis, GGZ Drenthe or GGZ Friesland). PROGR-S and PHAMOUS are both ongoing naturalistic prospective cohort studies. PHAMOUS participants will only be included hey are also enrolled in PROGR-S. RQ-MIS contains health care consumption, socio-demographic, and diagnosis data. PSYCONN baseline data is collected from PROGR-S and RQ-MIS. PSYCONN outcome data is collected from PHAMOUS, RQ-MIS, and an additional medical records file search.",ipec@umcg.nl,"Clinical cohort,Registry",,Longitudinal,,,,,,,1000,,Netherlands (the),"Groningen,Friesland,Drenthe","Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",,,1998,2018,,,,,,Periodically,,,UMCG,,,"IPEC set up a virtual databank and implemented a technical infrastructure for remote federated analysis of individual-level data of psychosis patients. With this platform, individual patient data remains stored on local servers of participating institutions and individual patient data will not be transported to one central site. -Contact IPEC via ipec@umcg.nl to receive more information about access to the virtual databank.",,,,,"IPEC was supported by the 2020 SIRS Research Harmonization Group Award which included a grant in the amount of $5000 USD to Prof. Wim Veling and Prof. Craig Morgan; an internal MD-PhD research grant of the University Medical Center Groningen (grant number 18-41) to Vera Brink, MSc; a grant in the amount of 400,000 DKK of the Capital Regions Research council to Dr Nikolai Albert; and the participating institutions (Lentis Psychiatric Institute, GGZ Drenthe, GGZ Friesland, University Center Psychiatry of University Medical Center Groningen, Bispebjerg hospital, Psychiatric Hospital Risskov, and Psychiatric Centre Copenhagen).","IPEC wishes to acknowledge the services of all the study participants, staff, research groups, and institutions collaborating in IPEC, and of MOLGENIS and RoQua, who helped build and maintain the technical infrastructure.", -CRC-Cohort,,CRC-Cohort,Colorectal Cancer Cohort,,,,BBMRI-ERIC,,"The colorectal cancer cohort (CRC-Cohort) was developed by BBMRI-ERIC, its National Nodes and BBMRI-ERIC partner biobanks within the EU-funded project ADOPT BBMRI-ERIC (H2020) as a use case for piloting access to European biobanks. It became a permanent asset of the BBMRI-ERIC infrastructure after the end of the ADOPT project. The CRC-Cohort collection is a joint long-term European endeavor, which enables existing, well-established biobanks to connect with BBMRI-ERIC and obtain increased recognition and visibility along with new users and data.",petr.holub@bbmri-eric.eu,Biobank,,Cross-sectional,,,,Retrospective,,,10500,,,,,,,,,,,,,,,,,,"general research use,health or medical or biomedical research,disease specific research",,,,,,,,, -RS3,,Rotterdam Study third cohort,"Rotterdam Study, third cohort",,Biomarkers · Cancer and related diseases · Cardiovascular diseases · Cohort study · Dermatological diseases · Endocrine diseases · Epidemiologic methods · Genetic and molecular epidemiology · Nutrition and lifestyle epidemiology · Liver diseases · Neurological diseases · Oncology · Ophthalmic diseases · Otolaryngological diseases · Pharmacoepidemiology · Population imag,https://www.ergo-onderzoek.nl/,EMC,,"The Rotterdam Study is an ongoing prospective cohort study that started in 1990 in the city of Rotterdam, The Netherlands. The study aims to unravel etiology, preclinical course, natural history and potential targets for intervention for chronic diseases in mid-life and late-life.",,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,6057,3932,Netherlands (the),Rotterdam,"Middle-aged (45-64 years),Aged (65+ years)",,,2006,,,,,,,Continuous,Once a follow-up is completed and data have been processed.,no,,health or medical or biomedical research,,,,https://doi.org/10.1007/s10654-020-00640-5,"https://doi.org/10.1007/s10654-009-9386-z,https://doi.org/10.1007/BF00145007,https://doi.org/10.1007/s10654-007-9199-x,https://doi.org/10.1007/s10654-011-9610-5,https://doi.org/10.1007/s10654-013-9866-z,https://doi.org/10.1007/s10654-015-0082-x,https://doi.org/10.1007/s10654-017-0321-4",,"The Rotterdam Study is supported by the Erasmus MC University Medical Center and Erasmus University Rotterdam; The Netherlands Organisation for Scientifc Research (NWO); The Netherlands Organisation for Health Research and Development (ZonMw); the Research Institute for Diseases in the Elderly (RIDE); The Netherlands Genomics Initiative (NGI); the Ministry of Education, Culture and Science; the Ministry of Health, Welfare and Sports; the European Commission (DG XII); and the Municipality of Rotterdam.","The contribution of inhabitants, general practitioners and pharmacists of the Ommoord district to the Rotterdam Study is gratefully acknowledged. The contributions to the Management Team specifcally and the Rotterdam Study at large of the following persons are pivotal to the daily operations of the study and highly appreciated: Jacobus Lubbe, Gabriëlle Bakker, Eric Neeleman, Jeannette Vergeer, Anneke Korving, Pauline van Wijngaarden, Jolande Verkroost – van Heemst, Silvan Licher, Isabel van", -NFBC1966 G0,,NFBC1966 G0,Parents of NFBC1966,,,,UOULU,,,,Population cohort,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -FinnGeDi,,FinnGeDi,Finnish Gestational Diabetes Study,,,,UOULU,,,,Clinical cohort,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -MoBa,,MoBa,"The Norwegian Mother, Father and Child Cohort Study",,,https://www.fhi.no/en/studies/moba/,NIPH,,"MoBa is a Norwegian population-based longitudinal cohort study of around 114,500 children, 95,000 mothers and 75,000 fathers. Recruitment of pregnant women attending routine ultrasound examination took place between 1999 and 2009, and MoBa has since grown to become one of the largest population studies in the world. Baseline questionnaires were completed at around 15 weeks’ gestation, and two further prenatal questionnaires were administered at around 17-22 and 30 weeks’ gestation. In addition, fathers completed a questionnaire at around 15’ weeks gestation. Follow-up questionnaires after birth were completed at 6 months, 18 months, 36 months, 5 years, 7 years, and 8 years of age, and data are currently being collected through questionnaires for children aged 13 and 14 years. The purpose of MoBa is to improve our knowledge of diseases and health, by estimating exposure-outcome associations among children and their parents from preconception and pr",,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,114000,,Norway,,"Prenatal,Newborn (0-1 months),Child (2-12 years),Adolescent (13-17 years)",,,1999,2008,,,,,,Continuous,Continuously; the most recent release is version 12,Data can be linked to the medical birth registry.,,,,,,https://doi.org/10.1093/ije/dyl170,,,"The Norwegian Mother, Father and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and the Ministry of Education and Research.",The authors are grateful to all the participating families in Norway who take part in this on-going cohort study., -GECKO,,GECKO,The Groningen Expert Center for Kids with Obesity Drenthe cohort,,,https://www.rug.nl/research/portal/datasets/gecko-drenthe-cohort(3e14f7ca-a55d-41d9-9803-19302aa4ea87).html,,,,,Clinical cohort,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -ALSPAC,,ALSPAC,Avon Longitudinal Study of Parents and Children,,,http://www.bristol.ac.uk/alspac/,UOB,,"Based at the University of Bristol, the Avon Longitudinal Study of Parents and Children (ALSPAC), also known as Children of the 90s, is a world-leading birth cohort study. - -Between April 1991 and December 1992 we recruited more than 14,000 pregnant women into the study and these women (some of whom had two pregnancies or multiple births during the recruitment period), the children arising from the pregnancy, and their partners have been followed up intensively over two decades. - -We are the most detailed study of its kind in the world and we provide the international research community with a rich resource for the study of the environmental and genetic factors that affect a person’s health and development. Through our research we aim to inform policy and practices that will provide a better life for future gene",,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,14541,,United Kingdom of Great Britain and Northern Ireland (the),,,,,1990,1992,,,,,,Closed dataset,Released once data collected and cleaned,,,,"""not for profit, non commercial use only""",,,https://doi.org/10.1093/ije/dys064,https://doi.org/10.1093/ije/dys066,,"The UK Medical Research Council and Wellcome (Grant ref: 217065/Z/19/Z) and the University of Bristol provide core support for ALSPAC. This publication is the work of the authors and will serve as guarantors for the contents of this paper.? - -In addition, you are expected to acknowledge the grant(s) which supported the collection of the primary exposure(s) and outcome(s) used in your study and any other grants in the checklist, which are pertinent to your study. The following sentences should be included with the above section: - - ?A comprehensive list of grants funding (PDF, 330KB) is available on the ALSPAC website. This research was specifically funded by .","We are extremely grateful to all the families who took part in this study, the midwives for their help in recruiting them, and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists and nurses.", -CELSPAC-TNG,,CELSPAC-TNG,Central European Longitudinal Study of Parents and Children: The Next Generation,,"EXPOSOME, Central Europe",https://www.celspac.cz/tng,RECETOX,,This prospective birth cohort is designed to follow up 7000 children from their prenatal period to adolescence with the aim of assessing EXPOSOME factors potentially affecting children health.,,Birth cohort,,Longitudinal,,,,"Retrospective,Prospective",,,950,900,Czechia,,,,,2018,,,,,,,Continuous,,,,health or medical or biomedical research,,"If you are interested in using available data from the ELSPAC.CZ database, please follow these steps: 1) Send your request to info@celspac.cz. 2) You will be contacted by the project manager who will discuss and, if necessary, work up your project plan. 3) The ELSPAC Executive Council will assess the proposed project plans with regard to their quality and feasibility and will recommend the selected ones to be carried out. 4) If your request is approved, a contract will be concluded between the Faculty of Science at Masaryk University and your institution. 5) Data in the agreed form and extent will be provided based on this contract.",,,,,"The RECETOX Research Infrastructure (TNG is included) is supported by the Ministry of Education, Youth and Sports of the Czech Republic (LM2018121)",The authors are grateful to all participants of the TNG cohort., -RS2,,Rotterdam Study second cohort,"Rotterdam Study, second cohort",,Biomarkers · Cancer and related diseases · Cardiovascular diseases · Cohort study · Dermatological diseases · Endocrine diseases · Epidemiologic methods · Genetic and molecular epidemiology · Nutrition and lifestyle epidemiology · Liver diseases · Neurological diseases · Oncology · Ophthalmic diseases · Otolaryngological diseases · Pharmacoepidemiology · Population imag,https://www.ergo-onderzoek.nl/,EMC,,"The Rotterdam Study is an ongoing prospective cohort study that started in 1990 in the city of Rotterdam, The Netherlands. The study aims to unravel etiology, preclinical course, natural history and potential targets for intervention for chronic diseases in mid-life and late-life.",,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,4472,3011,Netherlands (the),Rotterdam,"Middle-aged (45-64 years),Aged (65+ years)",,,2000,,,,,,,Continuous,Once a follow-up is completed and data have been processed.,no,,health or medical or biomedical research,,,,https://doi.org/10.1007/s10654-020-00640-5,"https://doi.org/10.1007/s10654-009-9386-z,https://doi.org/10.1007/BF00145007,https://doi.org/10.1007/s10654-007-9199-x,https://doi.org/10.1007/s10654-011-9610-5,https://doi.org/10.1007/s10654-013-9866-z,https://doi.org/10.1007/s10654-015-0082-x,https://doi.org/10.1007/s10654-017-0321-4",,"The Rotterdam Study is supported by the Erasmus MC University Medical Center and Erasmus University Rotterdam; The Netherlands Organisation for Scientifc Research (NWO); The Netherlands Organisation for Health Research and Development (ZonMw); the Research Institute for Diseases in the Elderly (RIDE); The Netherlands Genomics Initiative (NGI); the Ministry of Education, Culture and Science; the Ministry of Health, Welfare and Sports; the European Commission (DG XII); and the Municipality of Rotterdam.","The contribution of inhabitants, general practitioners and pharmacists of the Ommoord district to the Rotterdam Study is gratefully acknowledged. The contributions to the Management Team specifcally and the Rotterdam Study at large of the following persons are pivotal to the daily operations of the study and highly appreciated: Jacobus Lubbe, Gabriëlle Bakker, Eric Neeleman, Jeannette Vergeer, Anneke Korving, Pauline van Wijngaarden, Jolande Verkroost – van Heemst, Silvan Licher, Isabel van", -NOMA,,NOMA,Effect of fat quality on blood lipids and immune response,,"RCT, SFA, PUFA, LDL-cholesterol",https://www.med.uio.no/imb/english/research/projects/noma/,UiO,,"This randomized controlled trial aimed to investigate the health effects of replacing food items with a high content of saturated fatty acids with food items where a large portion of the saturated fat had been replaced with polyunsaturated fat. The main finding was that compared to intake of food items with saturated fat, intake of food items with polyunsaturated fat reduced total and low-density lipoprotein (LDL)-cholesterol by 9 and 11%, respectively. In this study, we collected data on standard clinical and biochemical variables, in addition to dietary intake as well as standard clinical and biochemical variables, in addition to dietary intake as well as metabolic and transcriptomic profiles.",,Clinical trial,,Cross-sectional,,,,Prospective,,,251,,,Oslo,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (80+ years)",,,2012,2014,,,,,,Other release type,Data collection is completed.,No,,health or medical or biomedical research,,Contact Stine Marie Ulven (smulven@medisin.uio.no) to use data from this study.,,https://doi.org/10.1017/S0007114516003445,"https://doi.org/10.1093/ajcn/nqy356,https://doi.org/10.1016/j.numecd.2020.06.018",,"This study was funded by the University of Oslo, Norway, and the Throne-Holst Foundation for Nutrition Research, Oslo, Norway.","We thank the NoMa team at the Oslo and Akershus University College of Applied Sciences, Department of Health, Nutrition and Management and at the University of Oslo, Department for Nutrition, Oslo, Norway.", -ABCD,,ABCD,The Amsterdam Born Children and their Development Study,,"multicultural, psychosocial outcomes, child development, growth, cardiometabolic profile",http://www.abcd-studie.nl/,AMC,,The ABCD-study is a large longitudinal research study on the health of 8000 Amsterdam born children. We investigate which factors in early pregnancy and childhood influence the health of these children.,,Birth cohort,,Longitudinal,,,,"Retrospective,Prospective",,,8266,4300,Netherlands (the),Amsterdam,Prenatal,,,2003,2004,,,,,,Continuous,Once a follow-up is completed and data have been processed.,no,,,,reach out to contact person,,https://doi.org/10.1093/ije/dyq128,,,The ABCD study has been supported by grants from The Netherlands Organisation for Health Research and Development (ZonMW) and The Netherlands Heart Foundation.,"We thank all participating families, and are grateful to all obstetric care providers, primary schools, students, and youth healthcare centers in Amsterdam for their contribution to the data collection of the ABCD-study", -HELIX,,HELIX,The Human Early-Life Exposome,,Novel tools for integrating early-life environmental exposures and child health across Europe,http://www.projecthelix.eu,ISGLOBAL,,"Six prospective birth cohort studies are contributing to HELIX as the only realistic and feasible way to obtain the comprehensive, longitudinal, human data needed to build this early-life exposome. These cohorts have already collected large amounts of data as part of national and EU-funded projects. Results will be integrated with data from European cohorts (>300,000 subjects) and registers, to estimate health impacts at the large European scale.",,Birth cohort,,Longitudinal,,,,Prospective,,,32000,1300,"Norway,France,Spain,United Kingdom of Great Britain and Northern Ireland (the),Greece,Lithuania",,,,,2014,2016,,,,,,,,,,,,,,,,,https://cordis.europa.eu/project/id/308333,, -RS1,,Rotterdam Study first cohort,"Rotterdam Study, first cohort",,Biomarkers · Cancer and related diseases · Cardiovascular diseases · Cohort study · Dermatological diseases · Endocrine diseases · Epidemiologic methods · Genetic and molecular epidemiology · Nutrition and lifestyle epidemiology · Liver diseases · Neurological diseases · Oncology · Ophthalmic diseases · Otolaryngological diseases · Pharmacoepidemiology · Population imag,https://www.ergo-onderzoek.nl/,EMC,,"The Rotterdam Study is an ongoing prospective cohort study that started in 1990 in the city of Rotterdam, The Netherlands. The study aims to unravel etiology, preclinical course, natural history and potential targets for intervention for chronic diseases in mid-life and late-life.",,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,10215,7983,Netherlands (the),Rotterdam,"Middle-aged (45-64 years),Aged (65+ years)",,,1989,0,,,,,,Continuous,Once a follow-up is completed and data have been processed.,no,,health or medical or biomedical research,,,,https://doi.org/10.1007/s10654-020-00640-5,"https://doi.org/10.1007/s10654-009-9386-z,https://doi.org/10.1007/BF00145007,https://doi.org/10.1007/s10654-007-9199-x,https://doi.org/10.1007/s10654-011-9610-5,https://doi.org/10.1007/s10654-013-9866-z,https://doi.org/10.1007/s10654-015-0082-x,https://doi.org/10.1007/s10654-017-0321-4",,"The Rotterdam Study is supported by the Erasmus MC University Medical Center and Erasmus University Rotterdam; The Netherlands Organisation for Scientifc Research (NWO); The Netherlands Organisation for Health Research and Development (ZonMw); the Research Institute for Diseases in the Elderly (RIDE); The Netherlands Genomics Initiative (NGI); the Ministry of Education, Culture and Science; the Ministry of Health, Welfare and Sports; the European Commission (DG XII); and the Municipality of Rotterdam.","The contribution of inhabitants, general practitioners and pharmacists of the Ommoord district to the Rotterdam Study is gratefully acknowledged. The contributions to the Management Team specifcally and the Rotterdam Study at large of the following persons are pivotal to the daily operations of the study and highly appreciated: Jacobus Lubbe, Gabriëlle Bakker, Eric Neeleman, Jeannette Vergeer, Anneke Korving, Pauline van Wijngaarden, Jolande Verkroost – van Heemst, Silvan Licher, Isabel van", -RAINE,,RAINE,The West Australian Pregnancy Cohort,,,https://rainestudy.org.au/,UWA,,"The Raine Study is one of the most comprehensive pregnancy birth cohort studies in the world. It is a rich resource for the study of environmental and genetic factors that affect health and development and can provide unique insights into the natural history of human diseases. Between May 1989 and November 1991, 2900 pregnant women were recruited into the study and their children have been assessed intensively over the past three decades. - -Prospective longitudinal data has been collected at multiple time-points over pregnancy, infancy, childhood, adolescence and young adulthood and there is broad multidisciplinary data on physical, mental and social aspects of development. - -The main cohort (Gen2) are now almost 30 years of age and maintain a keen sense of commitment to the Raine Study. Their data has been genotyped and data linkage with other publicly held datasets (e.g. school results and hospital records) is available. There are stored biological samples and established collaborative research networks across a wide variety of disciplines.",,Population cohort,,Longitudinal,,,,Prospective,,,2868,,,Western Australia,,,,1989,2020,,,,,,Continuous,Upon completion of follow-up,,,health or medical or biomedical research,,1. Submit a project proposal 2. Approval of the project ​3. Sign a data access agreement (DAA) 4. Data access with credentials (via DAT,,https://doi.org/10.5694/mja12.10698,,,"The Raine Study has been funded by program and project grants from the Australian National Health and Medical Research Council, the Commonwealth Scientific and Industrial Research Organisation, Healthway and the Lions Eye Institute in Western Australia. The Raine Study Gen2-17 year follow-up was funded by the NHMRC Program Grant (Stanley et al, ID 353514) and the GWAS data from the Gen2-17 year follow-up was funded by the NHMRC (Huang et al, ID 1059711) grant. The Raine Study participation in LIFECYCLE was funded by a grant from the National Health and Medical Research Council, Australia (GNT114285). The University of Western Australia (UWA), Curtin University, the Raine Medical Research Foundation, the Telethon Kids Institute, the Women’s and Infant’s Research Foundation (KEMH), Murdoch University, The University of Notre Dame Australia and Edith Cowan University provide funding for the Core Management of the Raine Study. REF is a recipient of a National Health and Medical Research Council Early Ca",, -DFBC,,DFBC,Dutch Famine Birth Cohort study,Hongerwinter Onderzoek,"famine, Dutch, older adults, ageing, pregnancy, early life, prenatal famine exposure",https://www.hongerwinter.nl/,Amsterdam UMC (AMC),,"The cohort was set up to investigate the effects of acute maternal undernutrition during specific stages of gestation on the offspring’s adult health. The main outcomes of interest of the DFBC are chronic cardiovascular and metabolic diseases, ageing and mental health. Differences in various outcomes have been found between participants exposed to famine and unexposed participants. Although statistically significant, these differences are not very large, therefore adjusting for exposure group enables researchers to use DFBC data in pooled a",,Birth cohort,test,Longitudinal,,,,"Retrospective,Prospective",,,2414,,Netherlands (the),,,,,1994,2021,,,,,,Other release type,upon completion of fu,no,,health or medical or biomedical research,,1. Submit a DFBC project proposal (s.r.derooij@amsterdamumc.nl) 2. Approval of the project ​3. Sign a data access agreement (DAA) 4. Data access with credentials (via DAT,,https://doi.org/10.1136/bmjopen-2020-042078,https://doi.org/10.1136/bmjopen-2013-003167,,"The Dutch famine birth cohort study has been funded by the Diabetes Fonds (The Netherlands, Grant Number NA), the Netherlands Heart Foundation ((NHS2001B087, NHS2007B083), The European Science Foundation (EUROSTRESS-DOME project), the European Commission (Brainage (Seventh Framework Programme Project 279281), Dynahealth (Horizon 2020 Project 633595), Longitools (Horizon 2020 Project 874739), Well-being (UK, Grant Number NA), the Medical Research Council (UK, Grant Number NA), the Dutch Research Council (NWO Aspasia Project 015014039) and the Academic Medical Centre (Amsterdam, The Netherlands, Grant number NA). We declare no conflict of interest.","We would like to thank the members of the Dutch famine birth cohort for their participation in our studies. We would also like to thank all researchers and other staff who have worked with us on study design, data collection, assessments, analyses and drafting of manuscripts.", -Immune-Image_Task_6.2b,,Task 6.2b,PD-1 therapy study,,,,UMCG,,An investigator initiated clinical treatment trial with PD-1 antibody provided by Janssen will include the patients who underwent CD8 imaging in task 6.2a. This study will be designed and executed during the course of Immune-Image according to cGCP standards. This study in contrast to the CD8 imaging part will extent till the end of Immune-Image in order to allow appropriate follow-up of the patients.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -Immune-Image_Task_6.3,,Task 6.3,Optical PD-L1 imaging trial in locally advanced oesophageal cancer patients,,,,UMCG,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -PANIC,,PANIC,Physical Activity and Nutrition In Children,,"adipokines, adolescence, adolescents, aldosterone, arterial, imaging, arteriosclerosis, artery, wall, elasticity, artery, wall, stiffness, artery, wall, thickness, atherosclerosis, bioelectrical, impedance, bioimpedance, birth, birth, weight, body, fat, content, body, mineral, content, body, mineral, density, cardiovascular, disease, carotid, ultrasound, childhood, children, depression, development, diet, dietary, recording, dual-energy, x-ray, absorptiometry, dxa, eating, behavior, ergospirometry, exercise, exercise, test, fat, mass, fat, percentage, fat-free, mass, fetal, period, gene, genome-wide, association, studies, glucose, glucose, tolerance, test, growth, impedance, cardiography, insulin, intervention, intima-media, thickness, lean, body, mass, lean, mass, lifestyle, lipids, lipoproteins, liver, enzymes, maximal, oxygen, consumption, maximal, oxygen, uptake, mental, problems, metabolite, profiling, metabolomics, musculoskeletal, disease, myokines, nutrition, obesity, osteoporosis, overweight, oxidative, stress, physical, activity, pregnancy, prepubertal, psychic, problems, puberal, puberty, questionnaire, redox-regulation, respiratory, gas, analysis, respiratory, gases, school, age, screen, time, sedentary, behavior, sedentary, time, sex, hormones, sex, steroids, sitting, sleep, sleeping, stress, stress, hormones, thyroid, hormones, trial, type, 2, diabetes",https://www.panicstudy.fi/,UEF,,The Physical Activity and Nutrition in Children (PANIC) Study is an ongoing 8-year controlled physical activity and dietary intervention study in a large population sample of children who have been followed retrospectively since pregnancy and prospectively until adolescence and will finally be followed until early adulthood,,Clinical trial,,Longitudinal,,,,"Prospective,Retrospective",,,736,512,Finland,,"Child (2-12 years),Adolescent (13-17 years)",,,2007,,,,,,,Other release type,"Data from baseline, 2-year follow-up and 8-year follow-up have been processed",no,,,,reach out to contact person,,https://doi.org/10.1007/s00125-020-05250-0,https://doi.org/10.1016/j.numecd.2016.05.005,,"Ministry of Social Affairs and Health of Finland, Ministry of Education and Culture of Finland, Finnish Innovation Fund Sitra, Social Insurance Institution of Finland, Research Committee of the Kuopio University Hospital Catchment Area (State Research Funding), Kuopio University Hospital (EVO funding number 5031343), the city of Kuopio, Finnish Cultural Foundation, Juho Vainio Foundation, Foundation for Paediatric Research, Paavo Nurmi Foundation, Jenny and Antti Wihuri Foundation, Paulo Foundation, Diabetes Research Foundation, Finnish Foundation of Cardiovascular Research, OLVI-foundation, The Finnish Medical Foundation, Yrjö Jahnsson Foundation, Aarne and Aili Turunen Foundation, Päivikki and Sakari Sohlberg Foundation, Jalmari and Rauha Ahokas Foundation, Doctoral Programs in Public Health (DPPH), Finnish Doctoral Program in Oral Sciences (FINDOS), The Kuopio Naturalists' Society, Finnish Association for the Study of Pain, the Finnish Dental Society Apollonia and other Finnish Associations and So",, -NFBC1966,,NFBC1966,NFBC1966,,,https://www.oulu.fi/nfbc,UOULU,,"The study was started by professor Paula Rantakallio in the two Northernmost provinces in Finland (Oulu and Lapland) already in the year 1965 when the mothers were pregnant. Data on the individuals born into this cohort was collected since the 24th gestational week as well as their mothers and, to a lesser extent, fathers. The cohort included 12055 mothers and they had 12068 deliveries (13 women delivered twice). - -Cases belonging to survey were determined by the calculated term. A small percentage of the births occurred towards the end of 1965 and early in 1967. The calculated term, as was customary at that time, was counted from the first day of the last menstrual period. Where this date was unknown the expected term was estimated from the date of commencement of foetal ovements and progress of the pregnancy. The study covered all live born and stillborn infants with birth weight of 600 grams or more. - -According to the Finland's central Office of Statistics, births in the study area during 1966 totalled 12527, so study population comprised 96.3 per cent of all births during 1966 in that area. Altogether 12231 children were born into the cohort, 12058 of them live born. The original data have been supplemented by data collected with postal questionnaires at the ages of 1, 14 and 31 years and various hospital records and national register data.",,Birth cohort,,Longitudinal,,,,Prospective,,,12231,,Finland,"Lapland,North Ostrobothnia","Prenatal,Newborn (0-1 months),Infants and toddlers (2-23 months),Infant (0-23 months),Adolescent (13-17 years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years)",,,1965,,,,,,,Closed dataset,,yes,,health or medical or biomedical research,,https://www.oulu.fi/nfbc/materialrequest,,,https://doi.org/10.1093/ije/dyab109,,"For the 31yr follow-up: NFBC1966 received financial support from University of Oulu Grant no. 65354, Oulu University Hospital Grant no. 2/97, 8/97, Ministry of Health and Social Affairs Grant no. 23/251/97, 160/97, 190/97, National Institute for Health and Welfare, Helsinki Grant no. 54121, Regional Institute of Occupational Health, Oulu, Finland Grant no. 50621, 54231 - -For the 46yr follow-up: NFBC1966 received financial support from University of Oulu Grant no. 24000692, Oulu University Hospital Grant no. 24301140, ERDF European Regional Development Fund Grant no. 539/2010 A31592",We thank all cohort members and researchers who have participated in the study. We also wish acknowledge the work of the NFBC project center., -SAPALDIA,,,SAPALDIA,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -mtFIT study,,mtFIT study,Multitarget FIT study,,"colon, crc, colorectal, cancer, early detection, early detection of cancer, feces, mass screening, biomarkers, colonoscopy, routine diagnostic tests",https://www.avl.nl/multitargetFIT,NKI,,"The mulitarget FIT study is a prospective study that is running within the Dutch National CRC screening program. The aim of this study is to compare the performance of a new stool test (mtFIT) with the currently used FIT. In this study we collect the lab data (results mtFIT and FIT) as well as the clinical data associated; age and sex of participants, colonoscopy findings (when one or both tests are positive), pathology data (when a lesion is detected during colonoscopy).",b.carvalho@nki.nl,"Population cohort,Clinical trial,Biobank",,Cross-sectional,,,,Prospective,,,13300,,,,,,,,,,,,,,,,,,"health or medical or biomedical research,disease specific research",,,,,,,,, -SYSDIMET,,SYSDIMET,Health Grain intervention,,"RCT, healthy diet, cereals, berries, n-3 fatty acids, dietary fibre, inflammation, endothelial dysfunction",,UEF,,,,Clinical trial,,Longitudinal,,,,Prospective,,,131,104,Finland,,"Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years)",,,2007,2007,,,,,,Closed dataset,Contact Marjukka Kolehmainen to use data from this study,no,,health or medical or biomedical research,,Contact Marjukka Kolehmainen to use data from this study,,https://doi.org/10.1007/s00125-011-2285-3,"https://doi.org/10.1371/journal.pone.0090352,https://doi.org/10.1371/journal.pone.0022646",,"This study was supported by: the Academy of Finland (117844 and 118590 [to M. Uusitupa]; 131460 [to K. Poutanen]; 130469 [to H. Mykkänen] and 131593 [to V. D. F. de Mello]); the Kuopio University Hospital (5106, 5168, 5254 [to M. Uusitupa]); the Finnish Diabetes Research Foundation; the Sigrid Juselius Foundation; the Nordic Centre of Excellence on ‘Systems biology in controlled dietary interventions and cohort studies’ -(SYSDIET; 070014); and the European Commission in the Communities 6th Framework Programme, Project HEALTHGRAIN (","We thank the laboratory technologists T. Onnukka and K. Kettunen from the Department of Clinical Nutrition, University of Eastern Finland, Kuopio, Finland, and G. Trischler from the Department of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany for their skilful work.", -DNBC,,DNBC,The Danish National Birth Cohort,,,https://www.dnbc.dk,UCPH,,"The Danish National Birth Cohort (DNBC) was established to investigate the causal link between exposures in early life and disease later on and the possibilites for disease prevention. Initial data collection information was collected by computer-assisted telephone interviews with the women twice during pregnancy and when their children were six and 18 months old. Further data collections were conducted when the children were 7, 11 and 18 years old. For more details, please visit the DNBC homepage.",,Birth cohort,,Longitudinal,,,,Prospective,,,100410,96825,Denmark,,,,,1996,2003,,,,,,Other release type,,The non-harmonized DNBC data can be linked to Danish registries,,health or medical or biomedical research,,"1. Once a proposal has been circulated, the DNBC LifeCycle team at UCPH discuss the proposal to determine whether DNBC can participate and assign a lead DNBC researcher to the proposal. This DNBC researcher then contacts the study PI to confirm our participation and request that the study PI fill in a DNBC application form. -2. The DNBC application form is sent to the DNBC managerial team via UCPH. -3. After approval of the application, the researcher/study PI will receive a letter (by e-mail) of approval from the DNBC and asked to sign a consent form for correct data use. -4. Once this consent form has been signed and returned, the researcher can contact the DNBC data manager who will provide access to the requested variables.",,https://doi.org/10.1177/14034948010290040201,,,"The Danish National Birth Cohort was established with a significant grant from the Danish National Research Foundation. Additional support was obtained from the Danish Regional Committees, the Pharmacy Foundation, the Egmont Foundation, the March of Dimes Birth Defects Foundation, the Health Foundation and other minor grants. The DNBC Biobank has been supported by the Novo Nordisk Foundation and the Lundbeck Foundation. Follow-up of mothers and children have been supported by the Danish Medical Research Council (SSVF 0646, 271-08-0839/06-066023, O602-01042B, 0602-02738B), the Lundbeck Foundation (195/04, R100-A9193), The Innovation Fund Denmark 0603-00294B (09-067124), the Nordea Foundation (02-2013-2014), Aarhus Ideas (AU R9-A959-13-S804), University of Copenhagen Strategic Grant (IFSV 2012), and the Danish Council for Independent Research (DFF – 4183-00594 and DFF - 4183-0","The authors would like to thank the participants, the first Principal Investigator of DNBC Prof. Jørn Olsen, the scientific managerial team, and DNBC secretariat for being, establishing, developing and consolidating the Danish National Birth Coho", -ELSPAC,,ELSPAC,ELSPAC,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -FEF,,FEF,Fibrefects - Grain fibre modification for gut-mediated health effects,,"RCT, Postprandial, Glucose metabolism, Short chain fatty acids, Rye, Wheat, Wholegrain, Bran, Bioprocessing, Gastrointestinal symptoms",,UEF,,,,Clinical trial,,Longitudinal,,,,Prospective,,,25,25,Finland,,"Adult (25-44 years),Middle-aged (45-64 years)",,,2011,2011,,,,,,Closed dataset,,no,,health or medical or biomedical research,,,,https://doi.org/10.1186/1475-2891-13-104,https://doi.org/10.1093/ajcn/nqy394,,"This study was carried out as a part of the FIBREFECTS (Grain fiber modification for gut mediated health effects) funded mainly by TEKES – The Finnish Funding Agency for Technology and Innovation – and to a smaller extent by Oy Karl Fazer Ab, Vaasan Oy, and Ravintoraisio Oy. The study was supported by a grant from Raisio Plc Research Foundation to J. Lappi, Academy of Finland to K. Poutanen, the Nordic Centre of Excellence on ‘Systems biology in controlled dietary interventions and cohort studies’ (SYSDIET; 070014) to M. Kolehmainen, the Nordic Centre of Excellence on ‘Nordic health – whole grain food (HELGA; 070015) to H. Mykkänen, and the Danish Strategic Research Council, ‘Concepts for enhanced butyrate production to improve colonic health an","Authors thank Erja Kinnunen, Eeva Lajunen and Lilli Lotvonen for their excellent technical assistance during the intervention.", -KANC,,KANC,Kaunas cohort,,,,VMU,,,,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,4000,4000,Lithuania,,"Prenatal,Child (2-12 years),Adolescent (13-17 years)",,,2007,,,,,,,,,,,health or medical or biomedical research,,,,,,,,, -ENVIRONAGE,,ENVIRONAGE,ENVIRonmental influence ON early AGEing,,"air pollution, child, aging, newborn, exposome, telomere length, placenta, omics, cardiovascular, system cognition",https://www.uhasselt.be/Algemene-Informatie-Limburgs-Geboortecohort,UHASSELT,,Within the ongoing population-based prospective birth cohort study ENVIRONAGE we explore new dimensions in the current understanding of human ageing and its interaction with the environment,,Birth cohort,,Longitudinal,,,,"Retrospective,Prospective",,,2000,2000,Belgium,,,,,2010,,,,,,,Annually,"Due to ongoing recruitment and follow-up, annual updates are provided of the datasets",No,,health or medical or biomedical research,,Contact Tim Nawrot (tim.nawrot@uhasselt.be) or Michelle Plusquin (Michelle.plusquin@uhasselt.Be),,https://doi.org/10.1093/ije/dyw269,,,"The ENVIRONAGE birth cohort is supported by the European Research Council [ERC-2012-StG.310898], and by funds of the Flemish Scientific Research council [FWO, G.0.733.15.N, G.0.592.14].","The authors are extremely grateful to the participating women and neonates, as well as the staff of the maternity ward, midwives and the staff of the clinical laboratory of East-Limburg Hospital in Genk.", -testCohort3,,,testCohort3,,,,,,"testcohort 3 is used for mappings, not to check rich or descriptive metadata",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -testCohort4,,,testCohort4,,,,,,"testcohort 4 is used for mappings, not to check rich or descriptive metadata",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -testCohort2,https://pid-testcohort2.org,acronym for test cohort 2,Name for test cohort 2,Local name for test cohort 2,"test, cohort2, Molgenis, testing",https://www.molgenis.org,test lead organisation 2,id for test additional organisation 2,"This is the Test cohort 2. It has ""other"" options where possible. No end year, so ""ongoing"". Design paper = Birth of a cohort — the first 20 years of the Raine study, publications = other papers. No to data access fee. Here we have some extra text to check the read less / read more functionality on the cohort detail page.",molgenis-support@umcg.nl,Other type,Cohort 2 other type,Longitudinal,Description of the design used for cohort 2,,,Retrospective,,,100,50,United Kingdom of Great Britain and Northern Ireland (the),Bradford,"Prenatal,Child (2-12 years)",Age of majority inclusion criterion,Other inclusion criteria cohort 2,1955,,"F10 Mental and behavioural disorders due to use of alcohol,F11 Mental and behavioural disorders due to use of opioids","KIDNEY,""Kidney, NOS""",Carcinomatosis,false,linkage possibility description cohort 2,Annually,Release description cohort 2,Linkage options cohort 2,,general research use,publication required,Data access conditions description text cohort 2 - no fee,false,https://doi.org/10.5694/mja12.10698,"https://doi.org/10.2337/dc21-2662,https://doi.org/10.1186/s12916-023-02769-y",Study specific consent,"This is the funding statement for cohort 2. It's not too long but covers more than one line, I think, particularly if I fill it up with blah blah blah (check for ""until now"" at the end) Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum UNTIL NOW.","This is the acknowledgements text for cohort 2. Again I need to fill it up to test - check that ""until now"" has been shown at the bottom Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum UNTIL NOW",Some supplementary information for cohort 2 blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah UNTIL NOW -testCohort1,https://pid-testcohort1.org,acronym for test cohort 1,Name for test cohort 1,Local name for test cohort 1,"test, cohort1, Molgenis, testing",https://www.molgenis.org,"Test lead organisation 1,test lead organisation 2","Test additional organisation 1,id for test additional organisation 2","This is the Test cohort 1. It has multiple entries where possible. Design paper and publications are random DOIs from the EUCAN project. Yes to data access fee. The population age group is all adult options, so the population age group should be shown as ""Adult 18+ years"". Cohort type has both 'normal' and 'other' fields filled in --> see which is displayed",molgenis-support@umcg.nl,"Clinical cohort,Clinical trial",Cohort 1 other type,Longitudinal,Description of the design used for cohort 1,,,"Retrospective,Prospective",,,600,200,"Armenia,Bermuda,Réunion","Bradford,Lapland,Gipuzkoa","Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)","Clinically relevant exposure inclusion criterion,Clinically relevant lifestyle inclusion criterion,Country of residence inclusion criteria",,1900,1967,"E00 Congenital iodine-deficiency syndrome,E00-E07 Disorders of thyroid gland,""E00.0 Congenital iodine-deficiency syndrome, neurological type"",""E00.1 Congenital iodine-deficiency syndrome, myxoedematous type"",""E00.2 Congenital iodine-deficiency syndrome, mixed type"",""E00.9 Congenital iodine-deficiency syndrome, unspecified"",E01 Iodine-deficiency-related thyroid disorders and allied conditions,E01.0 Iodine-deficiency-related thyroid disorders and allied conditions - Iodine-deficiency-related diffuse (endemic) goitre,E01.1 Iodine-deficiency-related thyroid disorders and allied conditions - Iodine-deficiency-related multinodular (endemic) goitre,""E01.2 Iodine-deficiency-related thyroid disorders and allied conditions - Iodine-deficiency-related (endemic) goitre, unspecified"",E01.8 Other iodine-deficiency-related thyroid disorders and allied conditions,E02 Subclinical iodine-deficiency hypothyroidism,E03 Other hypothyroidism,E03.0 Congenital hypothyroidism with diffuse goitre,E03.1 Congenital hypothyroidism without goitre,E03.2 Hypothyroidism due to medicaments and other exogenous substances,E03.3 Postinfectious hypothyroidism,E03.4 Other hypothyroidism - Atrophy of thyroid (acquired),E03.5 Other hypothyroidism - Myxoedema coma,E03.8 Other specified hypothyroidism,""E03.9 Hypothyroidism, unspecified"",E04 Other nontoxic goitre,E04.0 Nontoxic diffuse goitre,E04.1 Nontoxic single thyroid nodule,E04.2 Nontoxic multinodular goitre,E04.8 Other specified nontoxic goitre,""E04.9 Nontoxic goitre, unspecified"",E05 Thyrotoxicosis [hyperthyroidism],E05.0 Thyrotoxicosis with diffuse goitre,E05.1 Thyrotoxicosis with toxic single thyroid nodule,E05.2 Thyrotoxicosis with toxic multinodular goitre,E05.3 Thyrotoxicosis from ectopic thyroid tissue,E05.4 Thyrotoxicosis factitia,E05.5 Thyrotoxicosis [hyperthyroidism] - Thyroid crisis or storm,E05.8 Other thyrotoxicosis,""E05.9 Thyrotoxicosis, unspecified"",E06 Thyroiditis,E06.0 Acute thyroiditis,E06.1 Subacute thyroiditis,E06.2 Chronic thyroiditis with transient thyrotoxicosis,E06.3 Autoimmune thyroiditis,E06.4 Drug-induced thyroiditis,E06.5 Other chronic thyroiditis,""E06.9 Thyroiditis, unspecified"",E07 Other disorders of thyroid,E07.0 Hypersecretion of calcitonin,E07.1 Other disorders of thyroid - Dyshormogenetic goitre,E07.8 Other specified disorders of thyroid,""E07.9 Disorder of thyroid, unspecified"",E10 Type 1 diabetes mellitus,E10-E14 Diabetes mellitus,E10.0 Type 1 diabetes mellitus with coma,E10.1 Type 1 diabetes mellitus with ketoacidosis,E10.2 Type 1 diabetes mellitus with renal complications,E10.3 Type 1 diabetes mellitus with ophthalmic complications,E10.4 Type 1 diabetes mellitus with neurological complications,E10.5 Type 1 diabetes mellitus with peripheral circulatory complications,E10.6 Type 1 diabetes mellitus with other specified complications,E10.7 Type 1 diabetes mellitus with multiple complications,E10.8 Type 1 diabetes mellitus with unspecified complications,E10.9 Type 1 diabetes mellitus without complications,E11 Type 2 diabetes mellitus,E11.0 Type 2 diabetes mellitus with coma,E11.1 Type 2 diabetes mellitus with ketoacidosis,E11.2 Type 2 diabetes mellitus with renal complications,E11.3 Type 2 diabetes mellitus with ophthalmic complications,E11.4 Type 2 diabetes mellitus with neurological complications,E11.5 Type 2 diabetes mellitus with peripheral circulatory complications,E11.6 Type 2 diabetes mellitus with other specified complications,E11.7 Type 2 diabetes mellitus with multiple complications,E11.8 Type 2 diabetes mellitus with unspecified complications,E11.9 Type 2 diabetes mellitus without complications,E12 Malnutrition-related diabetes mellitus,E12.0 Malnutrition-related diabetes mellitus with coma,E12.1 Malnutrition-related diabetes mellitus with ketoacidosis,E12.2 Malnutrition-related diabetes mellitus with renal complications,E12.3 Malnutrition-related diabetes mellitus with ophthalmic complications,E12.4 Malnutrition-related diabetes mellitus with neurological complications,E12.5 Malnutrition-related diabetes mellitus with peripheral circulatory complications,E12.6 Malnutrition-related diabetes mellitus with other specified complications,E12.7 Malnutrition-related diabetes mellitus with multiple complications,E12.8 Malnutrition-related diabetes mellitus with with unspecified complications,E12.9 Malnutrition-related diabetes mellitus without complications,E13 Other specified diabetes mellitus,E13.0 Other specified diabetes mellitus with coma,E13.1 Other specified diabetes mellitus with ketoacidosis,E13.2 Other specified diabetes mellitus with renal complications,E13.3 Other specified diabetes mellitus with ophthalmic complications,E13.4 Other specified diabetes mellitus with neurological complications,E13.5 Other specified diabetes mellitus with peripheral circulatory complications,E13.6 Other specified diabetes mellitus with other specified complications,E13.7 Other specified diabetes mellitus with multiple complications,E13.8 Other specified diabetes mellitus with unspecified complications,E13.9 Other specified diabetes mellitus without complications,E14 Unspecified diabetes mellitus,E14.0 Unspecified diabetes mellitus with coma,E14.1 Unspecified diabetes mellitus with ketoacidosis,E14.2 Unspecified diabetes mellitus with renal complications,E14.3 Unspecified diabetes mellitus with ophthalmic complications,E14.4 Unspecified diabetes mellitus with neurological complications,E14.5 Unspecified diabetes mellitus with peripheral circulatory complications,E14.6 Unspecified diabetes mellitus with other specified complications,E14.7 Unspecified diabetes mellitus with multiple complications,E14.8 Unspecified diabetes mellitus with unspecified complications,E14.9 Unspecified diabetes mellitus without complications,E15 Nondiabetic hypoglycaemic coma,E15-E16 Other disorders of glucose regulation and pancreatic internal secretion,E16 Other disorders of pancreatic internal secretion,E16.0 Other disorders of pancreatic internal secretion - Drug-induced hypoglycaemia without coma,E16.1 Other hypoglycaemia,""E16.2 Other disorders of pancreatic internal secretion - Hypoglycaemia, unspecified"",E16.3 Increased secretion of glucagon,E16.4 Abnormal secretion of gastrin,E16.8 Other specified disorders of pancreatic internal secretion,""E16.9 Disorder of pancreatic internal secretion, unspecified"",E20 Hypoparathyroidism,E20-E35 Disorders of other endocrine glands,E20.0 Idiopathic hypoparathyroidism,E20.1 Pseudohypoparathyroidism,E20.8 Other hypoparathyroidism,""E20.9 Hypoparathyroidism, unspecified"",E21 Hyperparathyroidism and other disorders of parathyroid gland,E21.0 Primary hyperparathyroidism,""E21.1 Secondary hyperparathyroidism, not elsewhere classified"",E21.2 Other hyperparathyroidism,""E21.3 Hyperparathyroidism, unspecified"",E21.4 Other specified disorders of parathyroid gland,""E21.5 Disorder of parathyroid gland, unspecified"",E22 Hyperfunction of pituitary gland,E22.0 Acromegaly and pituitary gigantism,E22.1 Hyperfunction of pituitary gland - Hyperprolactinaemia,E22.2 Syndrome of inappropriate secretion of antidiuretic hormone,E22.8 Other hyperfunction of pituitary gland,""E22.9 Hyperfunction of pituitary gland, unspecified"",E23 Hypofunction and other disorders of pituitary gland,E23.0 Hypofunction and other disorders of pituitary gland - Hypopituitarism,E23.1 Hypofunction and other disorders of pituitary gland - Drug-induced hypopituitarism,E23.2 Hypofunction and other disorders of pituitary gland - Diabetes insipidus,""E23.3 Hypofunction and other disorders of pituitary gland - Hypothalamic dysfunction, not elsewhere classified"",E23.6 Other disorders of pituitary gland,""E23.7 Disorder of pituitary gland, unspecified"",E24 Cushing syndrome,E24.0 Pituitary-dependent Cushing disease,E24.1 Nelson syndrome,E24.2 Drug-induced Cushing syndrome,E24.3 Ectopic ACTH syndrome,E24.4 Alcohol-induced pseudo-Cushing syndrome,E24.8 Other Cushing syndrome,""E24.9 Cushing syndrome, unspecified"",E25 Adrenogenital disorders,E25.0 Congenital adrenogenital disorders associated with enzyme deficiency,E25.8 Other adrenogenital disorders,""E25.9 Adrenogenital disorder, unspecified"",E26 Hyperaldosteronism,E26.0 Primary hyperaldosteronism,E26.1 Secondary hyperaldosteronism,E26.8 Other hyperaldosteronism,""E26.9 Hyperaldosteronism, unspecified"",E27 Other disorders of adrenal gland,E27.0 Other adrenocortical overactivity,E27.1 Other disorders of adrenal gland - Primary adrenocortical insufficiency,E27.2 Other disorders of adrenal gland - Addisonian crisis,E27.3 Other disorders of adrenal gland - Drug-induced adrenocortical insufficiency,E27.4 Other and unspecified adrenocortical insufficiency,E27.5 Other disorders of adrenal gland - Adrenomedullary hyperfunction,E27.8 Other specified disorders of adrenal gland,""E27.9 Disorder of adrenal gland, unspecified"",E28 Ovarian dysfunction,E28.0 Ovarian dysfunction - Estrogen excess,E28.1 Ovarian dysfunction - Androgen excess,E28.2 Polycystic ovarian syndrome,E28.3 Primary ovarian failure,E28.8 Other ovarian dysfunction,""E28.9 Ovarian dysfunction, unspecified"",E29 Testicular dysfunction,E29.0 Testicular hyperfunction,E29.1 Testicular hypofunction,E29.8 Other testicular dysfunction,""E29.9 Testicular dysfunction, unspecified"",""E30 Disorders of puberty, not elsewhere classified"",E30.0 Delayed puberty,E30.1 Precocious puberty,E30.8 Other disorders of puberty,""E30.9 Disorder of puberty, unspecified"",E31 Polyglandular dysfunction,E31.0 Autoimmune polyglandular failure,E31.1 Polyglandular hyperfunction,E31.8 Other polyglandular dysfunction,""E31.9 Polyglandular dysfunction, unspecified"",E32 Diseases of thymus,E32.0 Persistent hyperplasia of thymus,E32.1 Abscess of thymus,E32.8 Other diseases of thymus,""E32.9 Disease of thymus, unspecified"",E34 Other endocrine disorders,E34.0 Other endocrine disorders - Carcinoid syndrome,E34.1 Other hypersecretion of intestinal hormones,""E34.2 Other endocrine disorders - Ectopic hormone secretion, not elsewhere classified"",""E34.3 Other endocrine disorders - Short stature, not elsewhere classified"",E34.4 Other endocrine disorders - Constitutional tall stature,E34.5 Other endocrine disorders - Androgen resistance syndrome,E34.8 Other specified endocrine disorders,""E34.9 Endocrine disorder, unspecified"",E35 Disorders of endocrine glands in diseases classified elsewhere,E35.0 Disorders of thyroid gland in diseases classified elsewhere,E35.1 Disorders of adrenal glands in diseases classified elsewhere,E35.8 Disorders of other endocrine glands in diseases classified elsewhere,E40 Kwashiorkor,E40-E46 Malnutrition,E41 Nutritional marasmus,E42 Marasmic kwashiorkor,E43 Unspecified severe protein-energy malnutrition,E44 Protein-energy malnutrition of moderate and mild degree,E44.0 Moderate protein-energy malnutrition,E44.1 Mild protein-energy malnutrition,E45 Retarded development following protein-energy malnutrition,E46 Unspecified protein-energy malnutrition,E50 Vitamin A deficiency,E50-E64 Other nutritional deficiencies,E50.0 Vitamin A deficiency with conjunctival xerosis,E50.1 Vitamin A deficiency with Bitot spot and conjunctival xerosis,E50.2 Vitamin A deficiency with corneal xerosis,E50.3 Vitamin A deficiency with corneal ulceration and xerosis,E50.4 Vitamin A deficiency with keratomalacia,E50.5 Vitamin A deficiency with night blindness,E50.6 Vitamin A deficiency with xerophthalmic scars of cornea,E50.7 Other ocular manifestations of vitamin A deficiency,E50.8 Other manifestations of vitamin A deficiency,""E50.9 Vitamin A deficiency, unspecified"",E51 Thiamine deficiency,E51.1 Thiamine deficiency - Beriberi,E51.2 Thiamine deficiency - Wernicke encephalopathy,E51.8 Other manifestations of thiamine deficiency,""E51.9 Thiamine deficiency, unspecified"",E52 Niacin deficiency [pellagra],E53 Deficiency of other B group vitamins,E53.0 Riboflavin deficiency,E53.1 Pyridoxine deficiency,E53.8 Deficiency of other specified B group vitamins,""E53.9 Vitamin B deficiency, unspecified"",E54 Ascorbic acid deficiency,E55 Vitamin D deficiency,""E55.0 Vitamin D deficiency - Rickets, active"",""E55.9 Vitamin D deficiency, unspecified"",E56 Other vitamin deficiencies,E56.0 Deficiency of vitamin E,E56.1 Deficiency of vitamin K,E56.8 Deficiency of other vitamins,""E56.9 Vitamin deficiency, unspecified"",E58 Dietary calcium deficiency,E59 Dietary selenium deficiency,E60 Dietary zinc deficiency,E61 Deficiency of other nutrient elements,E61.0 Copper deficiency,E61.1 Iron deficiency,E61.2 Magnesium deficiency,E61.3 Manganese deficiency,E61.4 Chromium deficiency,E61.5 Molybdenum deficiency,E61.6 Vanadium deficiency,E61.7 Deficiency of multiple nutrient elements,E61.8 Deficiency of other specified nutrient elements,""E61.9 Deficiency of nutrient element, unspecified"",E63 Other nutritional deficiencies,E63.0 Other nutritional deficiencies - Essential fatty acid [EFA] deficiency,E63.1 Other nutritional deficiencies - Imbalance of constituents of food intake,E63.8 Other specified nutritional deficiencies,""E63.9 Nutritional deficiency, unspecified"",E64 Sequelae of malnutrition and other nutritional deficiencies,E64.0 Sequelae of protein-energy malnutrition,E64.1 Sequelae of vitamin A deficiency,E64.2 Sequelae of vitamin C deficiency,E64.3 Sequelae of rickets,E64.8 Sequelae of other nutritional deficiencies,E64.9 Sequelae of unspecified nutritional deficiency,E65 Localized adiposity,E65-E68 Obesity and other hyperalimentation,E66 Obesity,E66.0 Obesity due to excess calories,E66.1 Drug-induced obesity,E66.2 Extreme obesity with alveolar hypoventilation,E66.8 Other obesity,""E66.9 Obesity, unspecified"",E67 Other hyperalimentation,E67.0 Other hyperalimentation - Hypervitaminosis A,E67.1 Other hyperalimentation - Hypercarotenaemia,E67.2 Other hyperalimentation - syndrome,E67.3 Other hyperalimentation - Hypervitaminosis D,E67.8 Other specified hyperalimentation,E68 Sequelae of hyperalimentation,E70 Disorders of aromatic amino-acid metabolism,E70-E90 Metabolic disorders,E70.0 Disorders of aromatic amino-acid metabolism - Classical phenylketonuria,E70.1 Disorders of aromatic amino-acid metabolism - Other hyperphenylalaninaemias,E70.2 Disorders of tyrosine metabolism,E70.3 Disorders of aromatic amino-acid metabolism - Albinism,E70.8 Other disorders of aromatic amino-acid metabolism,""E70.9 Disorder of aromatic amino-acid metabolism, unspecified"",E71 Disorders of branched-chain amino-acid metabolism and fatty-acid metabolism,E71.0 Disorders of branched-chain amino-acid metabolism and fatty-acid metabolism - Maple-syrup-urine disease,E71.1 Other disorders of branched-chain amino-acid metabolism,""E71.2 Disorder of branched-chain amino-acid metabolism, unspecified"",E71.3 Disorders of fatty-acid metabolism,E72 Other disorders of amino-acid metabolism,E72.0 Disorders of amino-acid transport,E72.1 Disorders of sulfur-bearing amino-acid metabolism,E72.2 Disorders of urea cycle metabolism,E72.3 Disorders of lysine and hydroxylysine metabolism,E72.4 Disorders of ornithine metabolism,E72.5 Disorders of glycine metabolism,E72.8 Other specified disorders of amino-acid metabolism,""E72.9 Disorder of amino-acid metabolism, unspecified"",E73 Lactose intolerance,E73.0 Lactose intolerance - Congenital lactase deficiency,E73.1 Lactose intolerance - Secondary lactase deficiency,E73.8 Other lactose intolerance,""E73.9 Lactose intolerance, unspecified"",E74 Other disorders of carbohydrate metabolism,E74.0 Other disorders of carbohydrate metabolism - Glycogen storage disease,E74.1 Disorders of fructose metabolism,E74.2 Disorders of galactose metabolism,E74.3 Other disorders of intestinal carbohydrate absorption,E74.4 Disorders of pyruvate metabolism and gluconeogenesis,E74.8 Other specified disorders of carbohydrate metabolism,""E74.9 Disorder of carbohydrate metabolism, unspecified"",E75 Disorders of sphingolipid metabolism and other lipid storage disorders,E75.0 Disorders of sphingolipid metabolism and other lipid storage disorders - gangliosidosis,E75.1 Other gangliosidosis,E75.2 Other sphingolipidosis,""E75.3 Sphingolipidosis, unspecified"",E75.4 Neuronal ceroid lipofuscinosis,E75.5 Other lipid storage disorders,""E75.6 Lipid storage disorder, unspecified"",E76 Disorders of glycosaminoglycan metabolism,""E76.0 Disorders of glycosaminoglycan metabolism - Mucopolysaccharidosis, type I"",""E76.1 Disorders of glycosaminoglycan metabolism - Mucopolysaccharidosis, type II"",E76.2 Disorders of glycosaminoglycan metabolism - Other mucopolysaccharidoses,""E76.3 Disorders of glycosaminoglycan metabolism - Mucopolysaccharidosis, unspecified"",E76.8 Other disorders of glucosaminoglycan metabolism,""E76.9 Disorder of glucosaminoglycan metabolism, unspecified"",E77 Disorders of glycoprotein metabolism,E77.0 Defects in post-translational modification of lysosomal enzymes,E77.1 Defects in glycoprotein degradation,E77.8 Other disorders of glycoprotein metabolism,""E77.9 Disorder of glycoprotein metabolism, unspecified"",E78 Disorders of lipoprotein metabolism and other lipidaemias,E78.0 Disorders of lipoprotein metabolism and other lipidaemias - Pure hypercholesterolaemia,E78.1 Disorders of lipoprotein metabolism and other lipidaemias - Pure hyperglyceridaemia,E78.2 Disorders of lipoprotein metabolism and other lipidaemias - Mixed hyperlipidaemia,E78.3 Disorders of lipoprotein metabolism and other lipidaemias - Hyperchylomicronaemia,E78.4 Other hyperlipidaemia,""E78.5 Disorders of lipoprotein metabolism and other lipidaemias - Hyperlipidaemia, unspecified"",E78.6 Lipoprotein deficiency,E78.8 Other disorders of lipoprotein metabolism,""E78.9 Disorder of lipoprotein metabolism, unspecified"",E79 Disorders of purine and pyrimidine metabolism,E79.0 Hyperuricaemia without signs of inflammatory arthritis and tophaceous disease,E79.1 Disorders of purine and pyrimidine metabolism - Lesch-Nyhan syndrome,E79.8 Other disorders of purine and pyrimidine metabolism,""E79.9 Disorder of purine and pyrimidine metabolism, unspecified"",E80 Disorders of porphyrin and bilirubin metabolism,E80.0 Disorders of porphyrin and bilirubin metabolism - Hereditary erythropoietic porphyria,E80.1 Disorders of porphyrin and bilirubin metabolism - Porphyria cutanea tarda,E80.2 Disorders of porphyrin and bilirubin metabolism - Other porphyria,E80.3 Defects of catalase and peroxidase,E80.4 Disorders of porphyrin and bilirubin metabolism - Gilbert syndrome,E80.5 Disorders of porphyrin and bilirubin metabolism - Crigler-Najjar syndrome,E80.6 Other disorders of bilirubin metabolism,""E80.7 Disorder of bilirubin metabolism, unspecified"",E83 Disorders of mineral metabolism,E83.0 Disorders of copper metabolism,E83.1 Disorders of iron metabolism,E83.2 Disorders of zinc metabolism,E83.3 Disorders of phosphorus metabolism and phosphatases,E83.4 Disorders of magnesium metabolism,E83.5 Disorders of calcium metabolism,E83.8 Other disorders of mineral metabolism,""E83.9 Disorder of mineral metabolism, unspecified"",E84 Cystic fibrosis,E84.0 Cystic fibrosis with pulmonary manifestations,E84.1 Cystic fibrosis with intestinal manifestations,E84.8 Cystic fibrosis with other manifestations,""E84.9 Cystic fibrosis, unspecified"",E85 Amyloidosis,E85.0 Non-neuropathic heredofamilial amyloidosis,E85.1 Neuropathic heredofamilial amyloidosis,""E85.2 Heredofamilial amyloidosis, unspecified"",E85.3 Secondary systemic amyloidosis,E85.4 Organ-limited amyloidosis,E85.8 Other amyloidosis,""E85.9 Amyloidosis, unspecified"",E86 Volume depletion,""E87 Other disorders of fluid, electrolyte and acid-base balance"",E87.0 Hyperosmolality and hypernatraemia,E87.1 Hypo-osmolality and hyponatraemia,""E87.2 Other disorders of fluid, electrolyte and acid-base balance - Acidosis"",""E87.3 Other disorders of fluid, electrolyte and acid-base balance - Alkalosis"",E87.4 Mixed disorder of acid-base balance,""E87.5 Other disorders of fluid, electrolyte and acid-base balance - Hyperkalaemia"",""E87.6 Other disorders of fluid, electrolyte and acid-base balance - Hypokalaemia"",E87.7 Fluid overload,""E87.8 Other disorders of electrolyte and fluid balance, not elsewhere classified"",E88 Other metabolic disorders,""E88.0 Disorders of plasma-protein metabolism, not elsewhere classified"",""E88.1 Other metabolic disorders - Lipodystrophy, not elsewhere classified"",""E88.2 Other metabolic disorders - Lipomatosis, not elsewhere classified"",E88.3 Other metabolic disorders - Tumour lysis syndrome,E88.8 Other specified metabolic disorders,""E88.9 Metabolic disorder, unspecified"",""E89 Postprocedural endocrine and metabolic disorders, not elsewhere classified"",E89.0 Postprocedural hypothyroidism,E89.1 Postprocedural hypoinsulinaemia,E89.2 Postprocedural hypoparathyroidism,E89.3 Postprocedural hypopituitarism,E89.4 Postprocedural ovarian failure,E89.5 Postprocedural testicular hypofunction,E89.6 Postprocedural adrenocortical(-medullary) hypofunction,E89.8 Other postprocedural endocrine and metabolic disorders,""E89.9 Postprocedural endocrine and metabolic disorder, unspecified"",E90 Nutritional and metabolic disorders in diseases classified elsewhere,F00 Dementia in Alzheimer disease,""F00-F09 Organic, including symptomatic, mental disorders"",F00.0 Dementia in Alzheimer disease with early onset,F00.1 Dementia in Alzheimer disease with late onset,""F00.2 Dementia in Alzheimer disease, atypical or mixed type"",""F00.9 Dementia in Alzheimer disease, unspecified"",F01 Vascular dementia,F01.0 Vascular dementia of acute onset,F01.1 Multi-infarct dementia,F01.2 Subcortical vascular dementia,F01.3 Mixed cortical and subcortical vascular dementia,F01.8 Other vascular dementia,""F01.9 Vascular dementia, unspecified"",F02 Dementia in other diseases classified elsewhere,F02.0 Dementia in Pick disease,F02.1 Dementia in Creutzfeldt-Jakob disease,F02.2 Dementia in Huntington disease,F02.3 Dementia in Parkinson disease,F02.4 Dementia in human immunodeficiency virus [HIV] disease,F02.8 Dementia in other specified diseases classified elsewhere,F03 Unspecified dementia,""F04 Organic amnesic syndrome, not induced by alcohol and other psychoactive substances"",""F05 Delirium, not induced by alcohol and other psychoactive substances"",""F05.0 Delirium not superimposed on dementia, so described"",F05.1 Delirium superimposed on dementia,F05.8 Other delirium,""F05.9 Delirium, unspecified"",F06 Other mental disorders due to brain damage and dysfunction and to physical disease,F06.0 Other mental disorders due to brain damage and dysfunction and to physical disease - Organic hallucinosis,F06.1 Organic catatonic disorder,F06.2 Other mental disorders due to brain damage and dysfunction and to physical disease - Organic delusional [schizophrenia-like] disorder,F06.3 Organic mood [affective] disorders,F06.4 Other mental disorders due to brain damage and dysfunction and to physical disease - Organic anxiety disorder,F06.5 Other mental disorders due to brain damage and dysfunction and to physical disease - Organic dissociative disorder,F06.6 Other mental disorders due to brain damage and dysfunction and to physical disease - Organic emotionally labile [asthenic] disorder,F06.7 Other mental disorders due to brain damage and dysfunction and to physical disease - Mild cognitive disorder,F06.8 Other specified mental disorders due to brain damage and dysfunction and to physical disease,F06.9 Unspecified mental disorder due to brain damage and dysfunction and to physical disease,""F07 Personality and behavioural disorders due to brain disease, damage and dysfunction"",F07.0 Organic personality disorder,""F07.1 Personality and behavioural disorders due to brain disease, damage and dysfunction - Postencephalitic syndrome"",""F07.2 Personality and behavioural disorders due to brain disease, damage and dysfunction - Postconcussional syndrome"",""F07.8 Other organic personality and behavioural disorders due to brain disease, damage and dysfunction"",""F07.9 Unspecified organic personality and behavioural disorder due to brain disease, damage and dysfunction"",F09 Unspecified organic or symptomatic mental disorder,F10 Mental and behavioural disorders due to use of alcohol,F10-F19 Mental and behavioural disorders due to psychoactive substance use,F11 Mental and behavioural disorders due to use of opioids,F12 Mental and behavioural disorders due to use of cannabinoids,F13 Mental and behavioural disorders due to use of sedatives or hypnotics,F14 Mental and behavioural disorders due to use of cocaine,""F15 Mental and behavioural disorders due to use of other stimulants, including caffeine"",F16 Mental and behavioural disorders due to use of hallucinogens,F17 Mental and behavioural disorders due to use of tobacco,F18 Mental and behavioural disorders due to use of volatile solvents,F19 Mental and behavioural disorders due to multiple drug use and use of other psychoactive substances,F20 Schizophrenia,""F20-F29 Schizophrenia, schizotypal and delusional disorders"",F20.0 Paranoid schizophrenia,F20.1 Hebephrenic schizophrenia,F20.2 Catatonic schizophrenia,F20.3 Undifferentiated schizophrenia,F20.4 Schizophrenia - Post-schizophrenic depression,F20.5 Residual schizophrenia,F20.6 Simple schizophrenia,F20.8 Other schizophrenia,""F20.9 Schizophrenia, unspecified"",F21 Schizotypal disorder,F22 Persistent delusional disorders,F22.0 Delusional disorder,F22.8 Other persistent delusional disorders,""F22.9 Persistent delusional disorder, unspecified"",F23 Acute and transient psychotic disorders,F23.0 Acute polymorphic psychotic disorder without symptoms of schizophrenia,F23.1 Acute polymorphic psychotic disorder with symptoms of schizophrenia,F23.2 Acute schizophrenia-like psychotic disorder,F23.3 Other acute predominantly delusional psychotic disorders,F23.8 Other acute and transient psychotic disorders,""F23.9 Acute and transient psychotic disorder, unspecified"",F24 Induced delusional disorder,F25 Schizoaffective disorders,""F25.0 Schizoaffective disorder, manic type"",""F25.1 Schizoaffective disorder, depressive type"",""F25.2 Schizoaffective disorder, mixed type"",F25.8 Other schizoaffective disorders,""F25.9 Schizoaffective disorder, unspecified"",F28 Other nonorganic psychotic disorders,F29 Unspecified nonorganic psychosis,F30 Manic episode,F30-F39 Mood [affective] disorders,F30.0 Manic episode - Hypomania,F30.1 Manic episode - Mania without psychotic symptoms,F30.2 Manic episode - Mania with psychotic symptoms,F30.8 Other manic episodes,""F30.9 Manic episode, unspecified"",F31 Bipolar affective disorder,""F31.0 Bipolar affective disorder, current episode hypomanic"",""F31.1 Bipolar affective disorder, current episode manic without psychotic symptoms"",""F31.2 Bipolar affective disorder, current episode manic with psychotic symptoms"",""F31.3 Bipolar affective disorder, current episode mild or moderate depression"",""F31.4 Bipolar affective disorder, current episode severe depression without psychotic symptoms"",""F31.5 Bipolar affective disorder, current episode severe depression with psychotic symptoms"",""F31.6 Bipolar affective disorder, current episode mixed"",""F31.7 Bipolar affective disorder, currently in remission"",F31.8 Other bipolar affective disorders,""F31.9 Bipolar affective disorder, unspecified"",F32 Depressive episode,F32.0 Mild depressive episode,F32.1 Moderate depressive episode,F32.2 Severe depressive episode without psychotic symptoms,F32.3 Severe depressive episode with psychotic symptoms,F32.8 Other depressive episodes,""F32.9 Depressive episode, unspecified"",F33 Recurrent depressive disorder,""F33.0 Recurrent depressive disorder, current episode mild"",""F33.1 Recurrent depressive disorder, current episode moderate"",""F33.2 Recurrent depressive disorder, current episode severe without psychotic symptoms"",""F33.3 Recurrent depressive disorder, current episode severe with psychotic symptoms"",""F33.4 Recurrent depressive disorder, currently in remission"",F33.8 Other recurrent depressive disorders,""F33.9 Recurrent depressive disorder, unspecified"",F34 Persistent mood [affective] disorders,F34.0 Persistent mood [affective] disorders - Cyclothymia,F34.1 Persistent mood [affective] disorders - Dysthymia,F34.8 Other persistent mood [affective] disorders,""F34.9 Persistent mood [affective] disorder, unspecified"",F38 Other mood [affective] disorders,F38.0 Other single mood [affective] disorders,F38.1 Other recurrent mood [affective] disorders,F38.8 Other specified mood [affective] disorders,F39 Unspecified mood [affective] disorder,F40 Phobic anxiety disorders,""F40-F48 Neurotic, stress-related and somatoform disorders"",F40.0 Phobic anxiety disorders - Agoraphobia,F40.1 Phobic anxiety disorders - Social phobias,F40.2 Phobic anxiety disorders - Specific (isolated) phobias,F40.8 Other phobic anxiety disorders,""F40.9 Phobic anxiety disorder, unspecified"",F41 Other anxiety disorders,F41.0 Panic disorder [episodic paroxysmal anxiety],F41.1 Generalized anxiety disorder,F41.2 Mixed anxiety and depressive disorder,F41.3 Other mixed anxiety disorders,F41.8 Other specified anxiety disorders,""F41.9 Anxiety disorder, unspecified"",F42 Obsessive-compulsive disorder,F42.0 Obsessive-compulsive disorder - Predominantly obsessional thoughts or ruminations,F42.1 Obsessive-compulsive disorder - Predominantly compulsive acts [obsessional rituals],F42.2 Obsessive-compulsive disorder - Mixed obsessional thoughts and acts,F42.8 Other obsessive-compulsive disorders,""F42.9 Obsessive-compulsive disorder, unspecified"",""F43 Reaction to severe stress, and adjustment disorders"",F43.0 Acute stress reaction,F43.1 Post-traumatic stress disorder,F43.2 Adjustment disorders,F43.8 Other reactions to severe stress,""F43.9 Reaction to severe stress, unspecified"",F44 Dissociative [conversion] disorders,F44.0 Dissociative amnesia,F44.1 Dissociative fugue,F44.2 Dissociative stupor,F44.3 Trance and possession disorders,F44.4 Dissociative motor disorders,F44.5 Dissociative convulsions,F44.6 Dissociative anaesthesia and sensory loss,F44.7 Mixed dissociative [conversion] disorders,F44.8 Other dissociative [conversion] disorders,""F44.9 Dissociative [conversion] disorder, unspecified"",F45 Somatoform disorders,F45.0 Somatoform disorders - Somatization disorder,F45.1 Undifferentiated somatoform disorder,F45.2 Somatoform disorders - Hypochondriacal disorder,F45.3 Somatoform autonomic dysfunction,F45.4 Persistent somatoform pain disorder,F45.8 Other somatoform disorders,""F45.9 Somatoform disorder, unspecified"",F48 Other neurotic disorders,F48.0 Other neurotic disorders - Neurasthenia,F48.1 Other neurotic disorders - Depersonalization-derealization syndrome,F48.8 Other specified neurotic disorders,""F48.9 Neurotic disorder, unspecified"",F50 Eating disorders,F50-F59 Behavioural syndromes associated with physiological disturbances and physical factors,F50.0 Eating disorders - Anorexia nervosa,F50.1 Eating disorders - Atypical anorexia nervosa,F50.2 Eating disorders - Bulimia nervosa,F50.3 Eating disorders - Atypical bulimia nervosa,F50.4 Overeating associated with other psychological disturbances,F50.5 Eating disorders - Vomiting associated with other psychological disturbances,F50.8 Other eating disorders,""F50.9 Eating disorder, unspecified"",F51 Nonorganic sleep disorders,F51.0 Nonorganic insomnia,F51.1 Nonorganic hypersomnia,F51.2 Nonorganic disorder of the sleep-wake schedule,F51.3 Sleepwalking [somnambulism],F51.4 Sleep terrors [night terrors],F51.5 Nonorganic sleep disorders - Nightmares,F51.8 Other nonorganic sleep disorders,""F51.9 Nonorganic sleep disorder, unspecified"",""F52 Sexual dysfunction, not caused by organic disorder or disease"",F52.0 Lack or loss of sexual desire,F52.1 Sexual aversion and lack of sexual enjoyment,""F52.2 Sexual dysfunction, not caused by organic disorder or disease - Failure of genital response"",F52.3 Orgasmic dysfunction,""F52.4 Sexual dysfunction, not caused by organic disorder or disease - Premature ejaculation"",F52.5 Nonorganic vaginismus,F52.6 Nonorganic dyspareunia,F52.7 Excessive sexual drive,""F52.8 Other sexual dysfunction, not caused by organic disorder or disease"",""F52.9 Unspecified sexual dysfunction, not caused by organic disorder or disease"",""F53 Mental and behavioural disorders associated with the puerperium, not elsewhere classified"",""F53.0 Mild mental and behavioural disorders associated with the puerperium, not elsewhere classified"",""F53.1 Severe mental and behavioural disorders associated with the puerperium, not elsewhere classified"",""F53.8 Other mental and behavioural disorders associated with the puerperium, not elsewhere classified"",""F53.9 Puerperal mental disorder, unspecified"",F54 Psychological and behavioural factors associated with disorders or diseases classified elsewhere,F55 Abuse of non-dependence-producing substances,F59 Unspecified behavioural syndromes associated with physiological disturbances and physical factors,F60 Specific personality disorders,F60-F69 Disorders of adult personality and behaviour,F60.0 Paranoid personality disorder,F60.1 Schizoid personality disorder,F60.2 Dissocial personality disorder,F60.3 Emotionally unstable personality disorder,F60.4 Histrionic personality disorder,F60.5 Anankastic personality disorder,F60.6 Anxious [avoidant] personality disorder,F60.7 Dependent personality disorder,F60.8 Other specific personality disorders,""F60.9 Personality disorder, unspecified"",F61 Mixed and other personality disorders,""F62 Enduring personality changes, not attributable to brain damage and disease"",F62.0 Enduring personality change after catastrophic experience,F62.1 Enduring personality change after psychiatric illness,F62.8 Other enduring personality changes,""F62.9 Enduring personality change, unspecified"",F63 Habit and impulse disorders,F63.0 Habit and impulse disorders - Pathological gambling,F63.1 Habit and impulse disorders - Pathological fire-setting [pyromania],F63.2 Habit and impulse disorders - Pathological stealing [kleptomania],F63.3 Habit and impulse disorders - Trichotillomania,F63.8 Other habit and impulse disorders,""F63.9 Habit and impulse disorder, unspecified"",F64 Gender identity disorders,F64.0 Gender identity disorders - Transsexualism,F64.1 Gender identity disorders - Dual-role transvestism,F64.2 Gender identity disorder of childhood,F64.8 Other gender identity disorders,""F64.9 Gender identity disorder, unspecified"",F65 Disorders of sexual preference,F65.0 Disorders of sexual preference - Fetishism,F65.1 Disorders of sexual preference - Fetishistic transvestism,F65.2 Disorders of sexual preference - Exhibitionism,F65.3 Disorders of sexual preference - Voyeurism,F65.4 Disorders of sexual preference - Paedophilia,F65.5 Disorders of sexual preference - Sadomasochism,F65.6 Multiple disorders of sexual preference,F65.8 Other disorders of sexual preference,""F65.9 Disorder of sexual preference, unspecified"",F66 Psychological and behavioural disorders associated with sexual development and orientation,F66.0 Sexual maturation disorder,F66.1 Egodystonic sexual orientation,F66.2 Sexual relationship disorder,F66.8 Other psychosexual development disorders,""F66.9 Psychosexual development disorder, unspecified"",F68 Other disorders of adult personality and behaviour,F68.0 Elaboration of physical symptoms for psychological reasons,""F68.1 Intentional production or feigning of symptoms or disabilities, either physical or psychological [factitious disorder]"",F68.8 Other specified disorders of adult personality and behaviour,F69 Unspecified disorder of adult personality and behaviour,F70 Mild mental retardation,F70-F79 Mental retardation,F71 Moderate mental retardation,F72 Severe mental retardation,F73 Profound mental retardation,F78 Other mental retardation,F79 Unspecified mental retardation,F80 Specific developmental disorders of speech and language,F80-F89 Disorders of psychological development,F80.0 Specific speech articulation disorder,F80.1 Expressive language disorder,F80.2 Receptive language disorder,F80.3 Acquired aphasia with epilepsy [Landau-Kleffner],F80.8 Other developmental disorders of speech and language,""F80.9 Developmental disorder of speech and language, unspecified"",F81 Specific developmental disorders of scholastic skills,F81.0 Specific reading disorder,F81.1 Specific spelling disorder,F81.2 Specific disorder of arithmetical skills,F81.3 Mixed disorder of scholastic skills,F81.8 Other developmental disorders of scholastic skills,""F81.9 Developmental disorder of scholastic skills, unspecified"",F82 Specific developmental disorder of motor function,F83 Mixed specific developmental disorders,F84 Pervasive developmental disorders,F84.0 Pervasive developmental disorders - Childhood autism,F84.1 Pervasive developmental disorders - Atypical autism,F84.2 Pervasive developmental disorders - Rett syndrome,F84.3 Pervasive developmental disorders - Other childhood disintegrative disorder,F84.4 Pervasive developmental disorders - Overactive disorder associated with mental retardation and stereotyped movements,F84.5 Pervasive developmental disorders - Asperger syndrome,F84.8 Other pervasive developmental disorders,""F84.9 Pervasive developmental disorder, unspecified"",F88 Other disorders of psychological development,F89 Unspecified disorder of psychological development,F90 Hyperkinetic disorders,F90-F98 Behavioural and emotional disorders with onset usually occurring in childhood and adolescence,F90.0 Hyperkinetic disorders - Disturbance of activity and attention,F90.1 Hyperkinetic conduct disorder,F90.8 Other hyperkinetic disorders,""F90.9 Hyperkinetic disorder, unspecified"",F91 Conduct disorders,F91.0 Conduct disorder confined to the family context,F91.1 Unsocialized conduct disorder,F91.2 Socialized conduct disorder,F91.3 Conduct disorders - Oppositional defiant disorder,F91.8 Other conduct disorders,""F91.9 Conduct disorder, unspecified"",F92 Mixed disorders of conduct and emotions,F92.0 Depressive conduct disorder,F92.8 Other mixed disorders of conduct and emotions,""F92.9 Mixed disorder of conduct and emotions, unspecified"",F93 Emotional disorders with onset specific to childhood,F93.0 Separation anxiety disorder of childhood,F93.1 Phobic anxiety disorder of childhood,F93.2 Social anxiety disorder of childhood,F93.3 Emotional disorders with onset specific to childhood - Sibling rivalry disorder,F93.8 Other childhood emotional disorders,""F93.9 Childhood emotional disorder, unspecified"",F94 Disorders of social functioning with onset specific to childhood and adolescence,F94.0 Disorders of social functioning with onset specific to childhood and adolescence - Elective mutism,F94.1 Reactive attachment disorder of childhood,F94.2 Disinhibited attachment disorder of childhood,F94.8 Other childhood disorders of social functioning,""F94.9 Childhood disorder of social functioning, unspecified"",F95 Tic disorders,F95.0 Transient tic disorder,F95.1 Chronic motor or vocal tic disorder,F95.2 Combined vocal and multiple motor tic disorder [de la Tourette],F95.8 Other tic disorders,""F95.9 Tic disorder, unspecified"",F98 Other behavioural and emotional disorders with onset usually occurring in childhood and adolescence,F98.0 Other behavioural and emotional disorders with onset usually occurring in childhood and adolescence - Nonorganic enuresis,F98.1 Other behavioural and emotional disorders with onset usually occurring in childhood and adolescence - Nonorganic encopresis,F98.2 Feeding disorder of infancy and childhood,F98.3 Pica of infancy and childhood,F98.4 Stereotyped movement disorders,F98.5 Stuttering [stammering],F98.6 Cluttering,F98.8 Other specified behavioural and emotional disorders with onset usually occurring in childhood and adolescence,F98.9 Unspecified behavioural and emotional disorders with onset usually occurring in childhood and adolescence,""F99 Mental disorder, not otherwise specified"",F99-F99 Unspecified mental disorder,""IV Endocrine, nutritional and metabolic diseases"",V Mental and behavioural disorders","BASE OF TONGUE,""Base of tongue, NOS"",""UTERUS, NOS"",""Uterus, NOS""","""Carcinoma, metastatic, NOS"",Carcinomatosis",true,linkage possibility description cohort 1,Closed dataset,Release description cohort 1,Linkage options cohort 1,Test lead organisation 1,"general research use,health or medical or biomedical research","genetic studies only,publication required,ethics approval required",Data access conditions description text cohort 1 - yes fee,true,https://doi.org/10.1093/ije/dyz227,"https://doi.org/10.5694/mja12.10698,https://doi.org/10.1002/ijc.32791",Broad consent,"This is the funding statement for cohort 1. It's not too long but covers more than one line, I think, particularly if I fill it up with blah blah blah (check for ""until now"" at the end) Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum UNTIL NOW","This is the acknowledgement statement for cohort 1. It's not too long but covers more than one line, I think, particularly if I fill it up with blah blah blah (check for ""until now"" at the end) Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum UNTIL NOW",Some supplementary information for cohort 1. diff --git a/data/_demodata/applications/datacatalogue/Contacts.csv b/data/_demodata/applications/datacatalogue/Collection contacts.csv similarity index 98% rename from data/_demodata/applications/datacatalogue/Contacts.csv rename to data/_demodata/applications/datacatalogue/Collection contacts.csv index 2c1bc9bb23..70799d07a9 100644 --- a/data/_demodata/applications/datacatalogue/Contacts.csv +++ b/data/_demodata/applications/datacatalogue/Collection contacts.csv @@ -1,4 +1,4 @@ -resource,role,role description,first name,last name,prefix,initials,title,organisation,email,orcid,homepage,photo,photo_filename,expertise +collection,role,role description,first name,last name,prefix,initials,title,organisation,email,orcid,homepage,photo,photo_filename,expertise ABCD,Primary contact,,Bob,Ross,,BR,dr.,,bob.ross@paintings.eu,0000-0033-1119-366,https://en.wikipedia.org/wiki/Bob_Ross,,,Painting ALSPAC,Principal Investigator,,Bob,Ross,,BR,dr.,,bob.ross@paintings.eu,0000-0033-1119-366,https://en.wikipedia.org/wiki/Bob_Ross,,,Painting ALSPAC,Primary contact,,Jack,Ross,,JR,prof.,,jack.ross@paintings.eu,0000-0033-1119-366,https://en.wikipedia.org/wiki/Bob_Ross,,,Carpenting diff --git a/data/_demodata/applications/datacatalogue/Collection counts.csv b/data/_demodata/applications/datacatalogue/Collection counts.csv new file mode 100644 index 0000000000..9f464e0e2b --- /dev/null +++ b/data/_demodata/applications/datacatalogue/Collection counts.csv @@ -0,0 +1 @@ +collection,age group,population size,active size,no individuals with samples,mean observation years,mean years active,median age,proportion female diff --git a/data/_demodata/applications/datacatalogue/Datasets.csv b/data/_demodata/applications/datacatalogue/Collection datasets.csv similarity index 92% rename from data/_demodata/applications/datacatalogue/Datasets.csv rename to data/_demodata/applications/datacatalogue/Collection datasets.csv index 33a5fc55cb..d3dcccd643 100644 --- a/data/_demodata/applications/datacatalogue/Datasets.csv +++ b/data/_demodata/applications/datacatalogue/Collection datasets.csv @@ -1,7 +1,7 @@ -resource,name,label,unit of observation,keywords,description,number of rows,since version,until version +collection,name,label,unit of observation,keywords,description,number of rows,since version,until version testCohort3,test dataset for testCohort3,,,,,,, testCohort4,test dataset for testCohort4,,,,,,, -testNetwork1_CDM,cdm_1,,,,,,, +testNetwork1,cdm_1,,,,,,, G21,child,child,person,,,,1, G21,blood_pressure,blood pressure,,,blood pressure of the child measured during G21 cohort follow-ups,,1.0.0, ENVIRONAGE,measurements after birth,,,,,,, @@ -39,28 +39,28 @@ SPA,SPA,,,,,,1.0, SPECIALISTICA,SPECIALISTICA,,,,,,1.0, SPF,SPF,,,,,,1.0, VCN,VCN,,,,,,1.0, -OOM_CDM,VISIT_OCCURRENCE,,,,,,2.2, -OOM_CDM,EVENTS,,,,,,2.2, -OOM_CDM,MEDICINES,,,,,,2.2, -OOM_CDM,PROCEDURES,,,,,,2.2, -OOM_CDM,VACCINES,,,,,,2.2, -OOM_CDM,MEDICAL_OBSERVATIONS,,,,,,2.2, -OOM_CDM,EUROCAT,,,,,,2.2, -OOM_CDM,SURVEY_ID,,,,,,2.2, -OOM_CDM,SURVEY_OBSERVATIONS,,,,,,2.2, -OOM_CDM,PERSONS,,,,,,2.2, -OOM_CDM,OBSERVATION_PERIODS,,,,,,2.2, -OOM_CDM,PERSON_RELATIONSHIPS,,,,,,2.2, -OOM_CDM,PRODUCTS,,,,,,2.2, -OOM_CDM,METADATA,,,,,,2.2, -OOM_CDM,CDM_SOURCE,,,,,,2.2, -OOM_CDM,INSTANCE,,,,,,2.2, -ATHLETE_CDM,outcome_ath,Outcome (ATHLETE),,,,,1.1.0, -ATHLETE_CDM,chemicals_ath,Chemicals (ATHLETE),,,,,1.1.0, -LifeCycle_CDM,core,,Patient,,,,1.0.0, -LifeCycle_CDM,outcomes,,,,,,1.0.0, -LifeCycle_CDM,outcome,,,,,,1.0.0, -LongITools_CDM,wave_01,Wave 1 variables,,,Table of wave 1 variables for LongITools,,1.0.0, +OOM,VISIT_OCCURRENCE,,,,,,2.2, +OOM,EVENTS,,,,,,2.2, +OOM,MEDICINES,,,,,,2.2, +OOM,PROCEDURES,,,,,,2.2, +OOM,VACCINES,,,,,,2.2, +OOM,MEDICAL_OBSERVATIONS,,,,,,2.2, +OOM,EUROCAT,,,,,,2.2, +OOM,SURVEY_ID,,,,,,2.2, +OOM,SURVEY_OBSERVATIONS,,,,,,2.2, +OOM,PERSONS,,,,,,2.2, +OOM,OBSERVATION_PERIODS,,,,,,2.2, +OOM,PERSON_RELATIONSHIPS,,,,,,2.2, +OOM,PRODUCTS,,,,,,2.2, +OOM,METADATA,,,,,,2.2, +OOM,CDM_SOURCE,,,,,,2.2, +OOM,INSTANCE,,,,,,2.2, +ATHLETE,outcome_ath,Outcome (ATHLETE),,,,,1.1.0, +ATHLETE,chemicals_ath,Chemicals (ATHLETE),,,,,1.1.0, +LifeCycle,core,,Patient,,,,1.0.0, +LifeCycle,outcomes,,,,,,1.0.0, +LifeCycle,outcome,,,,,,1.0.0, +LongITools,wave_01,Wave 1 variables,,,Table of wave 1 variables for LongITools,,1.0.0, NFBC1966,core,,,,,,1.0.0, NFBC1966,wave_01,wave 1 variables,,,Wave 1 variables for NFBC1966,,1.0.0, PELAGIE,pelagie_q2,Questionnaire at 2 years old of the child,Patient,,Questionnaire at 2 years old of the child,,1.0.0, diff --git a/data/_demodata/applications/datacatalogue/Documentation.csv b/data/_demodata/applications/datacatalogue/Collection documentation.csv similarity index 95% rename from data/_demodata/applications/datacatalogue/Documentation.csv rename to data/_demodata/applications/datacatalogue/Collection documentation.csv index e93a2b0683..6184b090f5 100644 --- a/data/_demodata/applications/datacatalogue/Documentation.csv +++ b/data/_demodata/applications/datacatalogue/Collection documentation.csv @@ -1,4 +1,4 @@ -resource,name,type,description,url,file,file_filename +collection,name,type,description,url,file,file_filename testCohort1,test documentation for cohort 1,Informed consent,test description of informed consent for cohort 1,https://umcgonline.sharepoint.com/:w:/r/sites/SGCohortcatalogues/Gedeelde%20documenten/Test%20activities%20Feb%2024/Test%20data/Test%20document%20for%20cohort%201%20informed%20consent.docx?d=w2aef48c74311495daab95ea93b432327&csf=1&web=1&e=TsEg9O,, testCohort2,test signed code of conduct for cohort 2,Signed code of conduct,description of test signed code of conduct for cohort 2,https://umcgonline.sharepoint.com/:w:/r/sites/SGCohortcatalogues/Gedeelde%20documenten/Test%20activities%20Feb%2024/Test%20data/Test%20document%20for%20cohort%202%20signed%20code%20of%20conduct.docx?d=w0cd34e6d7fb04918a25ca9fec2337f3f&csf=1&web=1&e=ORGQHI,, testCohort1,test doc 2 for test cohort 1,Procedure of data extraction,test description of the data extraction procedure for test doc 2 for test cohort 1,https://umcgonline.sharepoint.com/:w:/r/sites/SGCohortcatalogues/Gedeelde%20documenten/Test%20activities%20Feb%2024/Test%20data/Test%20doc%202%20for%20cohort%201%20procedure%20data%20extraction.docx?d=wbfb6619cf48a4fd8b33defd5c0359d38&csf=1&web=1&e=2Zivun,, diff --git a/data/_demodata/applications/datacatalogue/Collection events.csv b/data/_demodata/applications/datacatalogue/Collection events.csv index e280341d38..eb27116379 100644 --- a/data/_demodata/applications/datacatalogue/Collection events.csv +++ b/data/_demodata/applications/datacatalogue/Collection events.csv @@ -1,62 +1,62 @@ -resource,name,description,subcohorts,start year,start month,end year,end month,age groups,number of participants,areas of information,data categories,sample categories,standardized tools,standardized tools other,core variables,supplementary information -ENVIRONAGE,birth,,,,,,,,,,,,,,, -ENVIRONAGE,4-years follow-up,,,,,,,,,,,,,,, -EDEN,24m,Around 24 months of age,,,,,,,,,,,,,, -EDEN,1y,,children,,,,,,,,,,,,, -EDEN,8m,Around 8 months of age,children,,,,,,,,,,,,, -EDEN,3y,Around 3 years of age,children,,,,,,,,,,,,, -EDEN,birth,,"mothers,children",,,,,,,,,,,,, -Sepages,Y2,child's data collected between 1-2 years of age,"infants,mothers",1962,January,1980,January,Infants and toddlers (2-23 months),2000,"""Pregnancy, delivery and birth"",Other reproductive health-related information,Hospitalizations","Biological samples,Survey data,Genomics","Blood Buffy Coat,24h urine,Musculoskeletal System - Tissue (Frozen),Tissue (Frozen),Bone and Bones - Tissue (Frozen),Joints - Tissue (Frozen),Ligaments - Tissue (Frozen),Muscles - Tissue (Frozen),Tendons - Tissue (Frozen),Cartilage - Tissue (Frozen),Fascia - Tissue (Frozen),Digestive System - Tissue (Frozen),Mouth - Tissue (Frozen),Salivary Glands - Tissue (Frozen),Pharynx - Tissue (Frozen),Esophagus - Tissue (Frozen),Stomach - Tissue (Frozen),""Intestine, Small - Tissue (Frozen)"",""Intestine, Large - Tissue (Frozen)"",Rectum - Tissue (Frozen),Liver - Tissue (Frozen),Gallbladder - Tissue (Frozen),Mesentery - Tissue (Frozen),Pancreas - Tissue (Frozen),Lower Gastrointestinal Tract - Tissue (Frozen),Respiratory System - Tissue (Frozen),Nose - Tissue (Frozen),Larynx - Tissue (Frozen),Trachea - Tissue (Frozen),Bronchi - Tissue (Frozen),Bronchioles - Tissue (Frozen),Lung - Tissue (Frozen),Diaphragm - Tissue (Frozen),Urogenital System - Tissue (Frozen),Kidney - Tissue (Frozen),Ureter - Tissue (Frozen),Urinary Bladder - Tissue (Frozen),Urethra - Tissue (Frozen),""Genitalia, Female - Tissue (Frozen)"",Ovary - Tissue (Frozen),Fallopian Tubes - Tissue (Frozen),Uterus - Tissue (Frozen),Cervix Uteri - Tissue (Frozen),Vagina - Tissue (Frozen),Vulva - Tissue (Frozen),Placenta - Tissue (Frozen),""Genitalia, Male - Tissue (Frozen)"",Prostate - Tissue (Frozen),Penis - Tissue (Frozen),Testis - Tissue (Frozen),Endocrine system - Tissue (Frozen),Pituitary Gland - Tissue (Frozen),Pineal Gland - Tissue (Frozen),Thyroid Gland - Tissue (Frozen),Parathyroid Glands - Tissue (Frozen),Adrenal Glands - Tissue (Frozen),Cardiovascular System - Tissue (Frozen),Heart - Tissue (Frozen),Arteries - Tissue (Frozen),Veins - Tissue (Frozen),Capillaries - Tissue (Frozen),Lymphoid Tissue - Tissue (Frozen),Lymphatic Vessels - Tissue (Frozen),Lymph Nodes - Tissue (Frozen),Bone Marrow - Tissue (Frozen),Thymus gland - Tissue (Frozen),Spleen - Tissue (Frozen),Nervous System - Tissue (Frozen),Brain - Tissue (Frozen),Brain Stem - Tissue (Frozen),Cerebellum - Tissue (Frozen),Spinal Cord - Tissue (Frozen),Cerebral Ventricles - Tissue (Frozen),Nerve Net - Tissue (Frozen),Sense Organs - Tissue (Frozen),Eye - Tissue (Frozen),Ear - Tissue (Frozen),Olfactory Mucosa - Tissue (Frozen),Taste Buds - Tissue (Frozen),Integumentary System - Tissue (Frozen),Skin - Tissue (Frozen),Hair - Tissue (Frozen),Nails - Tissue (Frozen),Subcutaneous Tissue - Tissue (Frozen),""Mammary Glands, Human - Tissue (Frozen)""","Happiness Index,Wilson-Barona Index",,"smoking packday,vitamin intake", -DNBC,7 years old,,children,,,,,,,"Tobacco,Alcohol,Drugs,Nutrition,Breastfeeding,Contraception,""Pregnancy, delivery and birth""",,,,,, -Sepages,T3,mother's data collected during third trimester,pregnant women,,June,1992,April,"Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",,"Age/birthdate,Sex/gender,Twin,Marital/partner status","Biological samples,Survey data,Physiological/Biochemical measurements","Adipocytes,Faeces","12 Minute Walk Test / Twaalf minuten looptest (wandeltest),12-Step Participation Expectancies Questionnaire",,, -DNBC,6 months old,,children,,,,,,,,,,,,, -DNBC,Gestational week 12 and 30,,pregnancies,,,,,,,,,,,,, -EDEN,4y,Around 4 years of age,children,,,,,,,,,,,,, -EDEN,5-6y,,children,,,,,,,,,,,,, -ALSPAC,Follow up,,"Mothers,Children,Partners",1990,,,,,,,,,,,, -DFBC,2008 F1,,follow-up at: 63,2008,,2008,,,601,,,,,,, -DFBC,2012,,follow-up at: 68,2012,,2012,,,151,,,,,,, -DFBC,1994 (baseline),,Baseline (50 years of age),1994,,1994,,,912,,,,,,, -DFBC,2019,,follow-up at: 74/75,2019,,2019,,,92,,,,,,, -DFBC,2018,,follow-up at: 73,2018,,2018,,,595,,,,,,, -DFBC,2002,,follow-up at: 58,2002,,2002,,,860,,,,,,, -DFBC,2008 F2,,follow-up at: 63,2008,,2008,,,482,,,,,,, -DNBC,18 months old,,children,,,,,,,,,,,,, -DNBC,18 years old (ongoing),,children,,,,,,,,,,,,, -DNBC,11 years old,,children,,,,,,,,,,,,, -EDEN,5y,Around 5 years of age,,,,,,,,,,,,,, -EDEN,30-34 week's of amenorrhoea (WA),,mothers,,,,,,,,,,,,, -EDEN,24-28 week's of amenorrhoea (WA),,mothers,,,,,,,,,,,,, -EDEN,11y,,children,,,,,,,,,,,,, -EDEN,4m,Around 4 months of age,children,,,,,,,,,,,,, -EDEN,2y,,children,,,,,,,,,,,,, -EDEN,8y,Around 8 years of age,children,,,,,,,,,,,,, -EDEN,12m,Around 12 months of age,,,,,,,,,,,,,, -EDEN,20-24 week's of amenorrhoea (WA),,mothers,,,,,,,,,,,,, -ELFE,2y,,children,,,,,,,,,,,,, -ELFE,5y,,children,,,,,,,,,,,,, -ELFE,1y,,children,,,,,,,,,,,,, -ELFE,8y,,children,,,,,,,,,,,,, -ELFE,4-5y,,children,,,,,,,,,,,,, -ELFE,2 months,,children,,,,,,,,,,,,, -ELFE,birth,,"children,mothers",,,,,,,,,,,,, -ELFE,3.5y,,children,,,,,,,,,,,,, -ELFE,3-10 months,,children,,,,,,,,,,,,, -LifeCycle,y0-1,age ≥0 year and <1 year,,,,,,,,,,,,,, -LifeCycle,y1-2,age ≥1 year and <2 year,,,,,,,,,,,,,, -LifeCycle,y2-3,age ≥2 year and <3 year,,,,,,,,,,,,,, -mtFIT study,event 1,,mtFIT study,,,,,,,,"Biological samples,Medical records,Physiological/Biochemical measurements",,,,, -NFBC1966,46yr,46-year follow-up,,,,,,,,,,,,,, -NFBC1966,31yr,31-year follow-up,,,,,,,,,,,,,, -NOMA,Intervention,,,,,,,,99,,,,,,, -NOMA,Screening visit,,,,,,,,251,,,,,,, -PSYCONN,baseline,PSYCONN baseline data is collected from PROGR-S and RQ-MIS.,"PROGR-S,RQ-MIS",1998,,2018,,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",1000,"Age/birthdate,Sex/gender,Twin,Marital/partner status,Family and household structure,Education,""Ethnicity, race and religion"",Labour force and retirement,Other socio-demographic and economic characteristics,Tobacco,Alcohol,Drugs,Other and unspecified lifestyle information,Perception of health,Functional limitations,""Other perception of health, quality of life and functional limitation-related information"",Symptoms and signs involving nervous and musculoskeletal systems (R25-R29),""Symptoms and signs involving cognition, perception, emotional state and behaviour (R40-R46)"",General symptoms and signs (R50-R69),Symptoms related to multiple categories,Medication and supplement intake,Other and unspecified non-pharmacological interventions,Health and community care services utilization,Visits to health professionals,Hospitalizations,Community and social care,Other health and community care,Physical characteristics,Anthropometry,Circulation and respiration,Other physical measures and assessments,Hematology,Biochemistry,Other laboratory measures,""Cognition, personality and psychological measures and assessments"",Cognitive functioning,Personality,Psychological distress and emotions,Other psychological measures and assessments,Life events,Beliefs and values,""Other life events, plans and beliefs"",School life,Work life,""Other preschool, school or work life-related information"",Parenting and familial environment,Other social environment characteristics,Housing characteristics,Date and time-related information,Other administrative information","Biological samples,Survey data,Medical records,Physiological/Biochemical measurements,Other",,,,"age at inclusion,sex,marital status,Global Assessment of Functioning (GAF)", -testCohort1,test collection event 1B,description for test collection event 1B,test subcohort 1B,1992,March,2000,August,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",286,"Health and community care services utilization,Visits to health professionals,Hospitalizations,Community and social care,Other health and community care","Imaging data,National registries","Other,DNA",Frailty index,test other standardised tools for collection event 1B,"test core variable 1 for collection event 1B,test core variable 2 for collection event 1B,test core variable 3 for collection event 1B",This is test supplementary information for collection event 1B blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah UNTIL NOW -PSYCONN,follow-up,"PSYCONN outcome data is collected from PHAMOUS, RQ-MIS, and an additional medical records file search.","RQ-MIS,PHAMOUS",2006,,2022,,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",650,"Physical activity,Age/birthdate,Sex/gender,Twin,Family and household structure,Education,""Ethnicity, race and religion"",Labour force and retirement,""Income, possessions, and benefits"",Other socio-demographic and economic characteristics,Tobacco,Alcohol,Drugs,Nutrition,Personal hygiene,Sleep,Other and unspecified lifestyle information,Perception of health,Quality of life,Functional limitations,""Other perception of health, quality of life and functional limitation-related information"",Symptoms and signs involving the circulatory and respiratory systems (R00-R09),Symptoms and signs involving the digestive system and abdomen (R10-R19),Symptoms and signs involving nervous and musculoskeletal systems (R25-R29),""Symptoms and signs involving cognition, perception, emotional state and behaviour (R40-R46)"",General symptoms and signs (R50-R69),Symptoms related to multiple categories,Medication and supplement intake,Other and unspecified pharmacological interventions,Physical therapy interventions,""Cognitive, psychological and sensory interventions"",Educational and health promotion interventions,Other and unspecified non-pharmacological interventions,Health and community care services utilization,Visits to health professionals,Hospitalizations,Community and social care,Other health and community care,Vital status,Physical characteristics,Anthropometry,Circulation and respiration,Other physical measures and assessments,Hematology,Biochemistry,Other laboratory measures,Psychological distress and emotions,Other psychological measures and assessments,Life events,""Other life events, plans and beliefs"",""Preschool, school and work life"",Preschool life,School life,Work life,""Other preschool, school or work life-related information"",Social network,Social participation,Parenting and familial environment,Other social environment characteristics,Housing characteristics,Other physical environment characteristics,Date and time-related information,Other administrative information","Biological samples,Survey data,Medical records,Physiological/Biochemical measurements,Other",,,,Global Assessment of Functioning (GAF), -Sepages,Prenatal,mother's data collected during pregnancy,pregnant women,,,,,Prenatal,,,,,,,, -Sepages,T2,mother's data collected during second trimester,"pregnant women,fathers",,,,,,,,,,,,, -Sepages,Y1,child's data collected between 0-1 year of age,"infants,mothers",,,,,Infants and toddlers (2-23 months),,,,,,,, -Sepages,T1,mother's data collected during first trimester,pregnant women,,,,,,,,,,,,, -Sepages,Y3,child's data collected between 2-3 years of age,"infants,mothers",,,,,Child (2-12 years),2000,"""Puberty, menstruation, menopause and andropause"",Quality of life,Life course development,Symptoms and signs involving the circulatory and respiratory systems (R00-R09)",,,,,, -testCohort2,test collection event for cohort 2,description of test collection event for cohort 2,test subcohort 2A,1956,June,1999,December,"Prenatal,All ages,Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years),Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",15000,"Health and community care services utilization,Visits to health professionals,Hospitalizations,Community and social care,Other health and community care,Cognitive functioning,""Cognition, personality and psychological measures and assessments"",Personality,Psychological distress and emotions,Other psychological measures and assessments",Survey data,"Saliva,Isolated Pathogen","Identification of Migraine Screener,Árnadóttir OT-ADL Neurobehavioral Evaluation",other test standardised tools for collection event for cohort 2,"test core variable 1 for collection event for cohort 2,test core variable 2 for collection event for cohort 2",test supplementary information for collection event for cohort 2 blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah UNTIL NOW -testCohort1,test collection event 1A,test description for test collection event 1A,test subcohort 1A,1958,April,1994,April,"All ages,Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years),Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",3500,"Laboratory measures,Hematology,Biochemistry,Microbiology,Virology,Immunology,Toxicology,Histology,Genomics,Other laboratory measures","Medical records,National registries,Genealogical records","DNA,Plasma,RNA",Abstinence Orientation Scale,test other standardised tools for collection event 1A,"test core variable 1 for collection event 1A,test core variable 2 for collection event 1A,test core variable 3 for collection event 1A",test supplementary information for collection event 1A blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah UNTIL NOW +collection,name,description,subcohorts,start year,start month,end year,end month,age groups,number of participants,areas of information,data categories,sample categories,standardized tools,standardized tools other,core variables,supplementary information,start date,end day,end date +ENVIRONAGE,birth,,,,1,,12,,,,,,,,,,,31, +ENVIRONAGE,4-years follow-up,,,,1,,12,,,,,,,,,,,31, +EDEN,24m,Around 24 months of age,,,1,,12,,,,,,,,,,,31, +EDEN,1y,,children,,1,,12,,,,,,,,,,,31, +EDEN,8m,Around 8 months of age,children,,1,,12,,,,,,,,,,,31, +EDEN,3y,Around 3 years of age,children,,1,,12,,,,,,,,,,,31, +EDEN,birth,,"mothers,children",,1,,12,,,,,,,,,,,31, +Sepages,Y2,child's data collected between 1-2 years of age,"infants,mothers",1962,1,1980,1,Infants and toddlers (2-23 months),2000,"""Pregnancy, delivery and birth"",Other reproductive health-related information,Hospitalizations","Biological samples,Survey data,Genomics","Blood Buffy Coat,24h urine,Musculoskeletal System - Tissue (Frozen),Tissue (Frozen),Bone and Bones - Tissue (Frozen),Joints - Tissue (Frozen),Ligaments - Tissue (Frozen),Muscles - Tissue (Frozen),Tendons - Tissue (Frozen),Cartilage - Tissue (Frozen),Fascia - Tissue (Frozen),Digestive System - Tissue (Frozen),Mouth - Tissue (Frozen),Salivary Glands - Tissue (Frozen),Pharynx - Tissue (Frozen),Esophagus - Tissue (Frozen),Stomach - Tissue (Frozen),""Intestine, Small - Tissue (Frozen)"",""Intestine, Large - Tissue (Frozen)"",Rectum - Tissue (Frozen),Liver - Tissue (Frozen),Gallbladder - Tissue (Frozen),Mesentery - Tissue (Frozen),Pancreas - Tissue (Frozen),Lower Gastrointestinal Tract - Tissue (Frozen),Respiratory System - Tissue (Frozen),Nose - Tissue (Frozen),Larynx - Tissue (Frozen),Trachea - Tissue (Frozen),Bronchi - Tissue (Frozen),Bronchioles - Tissue (Frozen),Lung - Tissue (Frozen),Diaphragm - Tissue (Frozen),Urogenital System - Tissue (Frozen),Kidney - Tissue (Frozen),Ureter - Tissue (Frozen),Urinary Bladder - Tissue (Frozen),Urethra - Tissue (Frozen),""Genitalia, Female - Tissue (Frozen)"",Ovary - Tissue (Frozen),Fallopian Tubes - Tissue (Frozen),Uterus - Tissue (Frozen),Cervix Uteri - Tissue (Frozen),Vagina - Tissue (Frozen),Vulva - Tissue (Frozen),Placenta - Tissue (Frozen),""Genitalia, Male - Tissue (Frozen)"",Prostate - Tissue (Frozen),Penis - Tissue (Frozen),Testis - Tissue (Frozen),Endocrine system - Tissue (Frozen),Pituitary Gland - Tissue (Frozen),Pineal Gland - Tissue (Frozen),Thyroid Gland - Tissue (Frozen),Parathyroid Glands - Tissue (Frozen),Adrenal Glands - Tissue (Frozen),Cardiovascular System - Tissue (Frozen),Heart - Tissue (Frozen),Arteries - Tissue (Frozen),Veins - Tissue (Frozen),Capillaries - Tissue (Frozen),Lymphoid Tissue - Tissue (Frozen),Lymphatic Vessels - Tissue (Frozen),Lymph Nodes - Tissue (Frozen),Bone Marrow - Tissue (Frozen),Thymus gland - Tissue (Frozen),Spleen - Tissue (Frozen),Nervous System - Tissue (Frozen),Brain - Tissue (Frozen),Brain Stem - Tissue (Frozen),Cerebellum - Tissue (Frozen),Spinal Cord - Tissue (Frozen),Cerebral Ventricles - Tissue (Frozen),Nerve Net - Tissue (Frozen),Sense Organs - Tissue (Frozen),Eye - Tissue (Frozen),Ear - Tissue (Frozen),Olfactory Mucosa - Tissue (Frozen),Taste Buds - Tissue (Frozen),Integumentary System - Tissue (Frozen),Skin - Tissue (Frozen),Hair - Tissue (Frozen),Nails - Tissue (Frozen),Subcutaneous Tissue - Tissue (Frozen),""Mammary Glands, Human - Tissue (Frozen)""","Happiness Index,Wilson-Barona Index",,"smoking packday,vitamin intake",,1962-01-01,31,1980-01-31 +DNBC,7 years old,,children,,1,,12,,,"Tobacco,Alcohol,Drugs,Nutrition,Breastfeeding,Contraception,""Pregnancy, delivery and birth""",,,,,,,,31, +Sepages,T3,mother's data collected during third trimester,pregnant women,,6,1992,4,"Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",,"Age/birthdate,Sex/gender,Twin,Marital/partner status","Biological samples,Survey data,Physiological/Biochemical measurements","Adipocytes,Faeces","12 Minute Walk Test / Twaalf minuten looptest (wandeltest),12-Step Participation Expectancies Questionnaire",,,,,30,1992-04-30 +DNBC,6 months old,,children,,1,,12,,,,,,,,,,,31, +DNBC,Gestational week 12 and 30,,pregnancies,,1,,12,,,,,,,,,,,31, +EDEN,4y,Around 4 years of age,children,,1,,12,,,,,,,,,,,31, +EDEN,5-6y,,children,,1,,12,,,,,,,,,,,31, +ALSPAC,Follow up,,"Mothers,Children,Partners",1990,1,,12,,,,,,,,,,1990-01-01,31, +DFBC,2008 F1,,follow-up at: 63,2008,1,2008,12,,601,,,,,,,,2008-01-01,31,2008-12-31 +DFBC,2012,,follow-up at: 68,2012,1,2012,12,,151,,,,,,,,2012-01-01,31,2012-12-31 +DFBC,1994 (baseline),,Baseline (50 years of age),1994,1,1994,12,,912,,,,,,,,1994-01-01,31,1994-12-31 +DFBC,2019,,follow-up at: 74/75,2019,1,2019,12,,92,,,,,,,,2019-01-01,31,2019-12-31 +DFBC,2018,,follow-up at: 73,2018,1,2018,12,,595,,,,,,,,2018-01-01,31,2018-12-31 +DFBC,2002,,follow-up at: 58,2002,1,2002,12,,860,,,,,,,,2002-01-01,31,2002-12-31 +DFBC,2008 F2,,follow-up at: 63,2008,1,2008,12,,482,,,,,,,,2008-01-01,31,2008-12-31 +DNBC,18 months old,,children,,1,,12,,,,,,,,,,,31, +DNBC,18 years old (ongoing),,children,,1,,12,,,,,,,,,,,31, +DNBC,11 years old,,children,,1,,12,,,,,,,,,,,31, +EDEN,5y,Around 5 years of age,,,1,,12,,,,,,,,,,,31, +EDEN,30-34 week's of amenorrhoea (WA),,mothers,,1,,12,,,,,,,,,,,31, +EDEN,24-28 week's of amenorrhoea (WA),,mothers,,1,,12,,,,,,,,,,,31, +EDEN,11y,,children,,1,,12,,,,,,,,,,,31, +EDEN,4m,Around 4 months of age,children,,1,,12,,,,,,,,,,,31, +EDEN,2y,,children,,1,,12,,,,,,,,,,,31, +EDEN,8y,Around 8 years of age,children,,1,,12,,,,,,,,,,,31, +EDEN,12m,Around 12 months of age,,,1,,12,,,,,,,,,,,31, +EDEN,20-24 week's of amenorrhoea (WA),,mothers,,1,,12,,,,,,,,,,,31, +ELFE,2y,,children,,1,,12,,,,,,,,,,,31, +ELFE,5y,,children,,1,,12,,,,,,,,,,,31, +ELFE,1y,,children,,1,,12,,,,,,,,,,,31, +ELFE,8y,,children,,1,,12,,,,,,,,,,,31, +ELFE,4-5y,,children,,1,,12,,,,,,,,,,,31, +ELFE,2 months,,children,,1,,12,,,,,,,,,,,31, +ELFE,birth,,"children,mothers",,1,,12,,,,,,,,,,,31, +ELFE,3.5y,,children,,1,,12,,,,,,,,,,,31, +ELFE,3-10 months,,children,,1,,12,,,,,,,,,,,31, +LifeCycle,y0-1,age ≥0 year and <1 year,,,1,,12,,,,,,,,,,,31, +LifeCycle,y1-2,age ≥1 year and <2 year,,,1,,12,,,,,,,,,,,31, +LifeCycle,y2-3,age ≥2 year and <3 year,,,1,,12,,,,,,,,,,,31, +mtFIT study,event 1,,mtFIT study,,1,,12,,,,"Biological samples,Medical records,Physiological/Biochemical measurements",,,,,,,31, +NFBC1966,46yr,46-year follow-up,,,1,,12,,,,,,,,,,,31, +NFBC1966,31yr,31-year follow-up,,,1,,12,,,,,,,,,,,31, +NOMA,Intervention,,,,1,,12,,99,,,,,,,,,31, +NOMA,Screening visit,,,,1,,12,,251,,,,,,,,,31, +PSYCONN,baseline,PSYCONN baseline data is collected from PROGR-S and RQ-MIS.,"PROGR-S,RQ-MIS",1998,1,2018,12,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",1000,"Age/birthdate,Sex/gender,Twin,Marital/partner status,Family and household structure,Education,""Ethnicity, race and religion"",Labour force and retirement,Other socio-demographic and economic characteristics,Tobacco,Alcohol,Drugs,Other and unspecified lifestyle information,Perception of health,Functional limitations,""Other perception of health, quality of life and functional limitation-related information"",Symptoms and signs involving nervous and musculoskeletal systems (R25-R29),""Symptoms and signs involving cognition, perception, emotional state and behaviour (R40-R46)"",General symptoms and signs (R50-R69),Symptoms related to multiple categories,Medication and supplement intake,Other and unspecified non-pharmacological interventions,Health and community care services utilization,Visits to health professionals,Hospitalizations,Community and social care,Other health and community care,Physical characteristics,Anthropometry,Circulation and respiration,Other physical measures and assessments,Hematology,Biochemistry,Other laboratory measures,""Cognition, personality and psychological measures and assessments"",Cognitive functioning,Personality,Psychological distress and emotions,Other psychological measures and assessments,Life events,Beliefs and values,""Other life events, plans and beliefs"",School life,Work life,""Other preschool, school or work life-related information"",Parenting and familial environment,Other social environment characteristics,Housing characteristics,Date and time-related information,Other administrative information","Biological samples,Survey data,Medical records,Physiological/Biochemical measurements,Other",,,,"age at inclusion,sex,marital status,Global Assessment of Functioning (GAF)",,1998-01-01,31,2018-12-31 +testCohort1,test collection event 1B,description for test collection event 1B,test subcohort 1B,1992,3,2000,8,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",286,"Health and community care services utilization,Visits to health professionals,Hospitalizations,Community and social care,Other health and community care","Imaging data,National registries","Other,DNA",Frailty index,test other standardised tools for collection event 1B,"test core variable 1 for collection event 1B,test core variable 2 for collection event 1B,test core variable 3 for collection event 1B",This is test supplementary information for collection event 1B blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah UNTIL NOW,1992-03-01,31,2000-08-31 +PSYCONN,follow-up,"PSYCONN outcome data is collected from PHAMOUS, RQ-MIS, and an additional medical records file search.","RQ-MIS,PHAMOUS",2006,1,2022,12,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",650,"Physical activity,Age/birthdate,Sex/gender,Twin,Family and household structure,Education,""Ethnicity, race and religion"",Labour force and retirement,""Income, possessions, and benefits"",Other socio-demographic and economic characteristics,Tobacco,Alcohol,Drugs,Nutrition,Personal hygiene,Sleep,Other and unspecified lifestyle information,Perception of health,Quality of life,Functional limitations,""Other perception of health, quality of life and functional limitation-related information"",Symptoms and signs involving the circulatory and respiratory systems (R00-R09),Symptoms and signs involving the digestive system and abdomen (R10-R19),Symptoms and signs involving nervous and musculoskeletal systems (R25-R29),""Symptoms and signs involving cognition, perception, emotional state and behaviour (R40-R46)"",General symptoms and signs (R50-R69),Symptoms related to multiple categories,Medication and supplement intake,Other and unspecified pharmacological interventions,Physical therapy interventions,""Cognitive, psychological and sensory interventions"",Educational and health promotion interventions,Other and unspecified non-pharmacological interventions,Health and community care services utilization,Visits to health professionals,Hospitalizations,Community and social care,Other health and community care,Vital status,Physical characteristics,Anthropometry,Circulation and respiration,Other physical measures and assessments,Hematology,Biochemistry,Other laboratory measures,Psychological distress and emotions,Other psychological measures and assessments,Life events,""Other life events, plans and beliefs"",""Preschool, school and work life"",Preschool life,School life,Work life,""Other preschool, school or work life-related information"",Social network,Social participation,Parenting and familial environment,Other social environment characteristics,Housing characteristics,Other physical environment characteristics,Date and time-related information,Other administrative information","Biological samples,Survey data,Medical records,Physiological/Biochemical measurements,Other",,,,Global Assessment of Functioning (GAF),,2006-01-01,31,2022-12-31 +Sepages,Prenatal,mother's data collected during pregnancy,pregnant women,,1,,12,Prenatal,,,,,,,,,,31, +Sepages,T2,mother's data collected during second trimester,"pregnant women,fathers",,1,,12,,,,,,,,,,,31, +Sepages,Y1,child's data collected between 0-1 year of age,"infants,mothers",,1,,12,Infants and toddlers (2-23 months),,,,,,,,,,31, +Sepages,T1,mother's data collected during first trimester,pregnant women,,1,,12,,,,,,,,,,,31, +Sepages,Y3,child's data collected between 2-3 years of age,"infants,mothers",,1,,12,Child (2-12 years),2000,"""Puberty, menstruation, menopause and andropause"",Quality of life,Life course development,Symptoms and signs involving the circulatory and respiratory systems (R00-R09)",,,,,,,,31, +testCohort2,test collection event for cohort 2,description of test collection event for cohort 2,test subcohort 2A,1956,6,1999,12,"Prenatal,All ages,Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years),Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",15000,"Health and community care services utilization,Visits to health professionals,Hospitalizations,Community and social care,Other health and community care,Cognitive functioning,""Cognition, personality and psychological measures and assessments"",Personality,Psychological distress and emotions,Other psychological measures and assessments",Survey data,"Saliva,Isolated Pathogen","Identification of Migraine Screener,Árnadóttir OT-ADL Neurobehavioral Evaluation",other test standardised tools for collection event for cohort 2,"test core variable 1 for collection event for cohort 2,test core variable 2 for collection event for cohort 2",test supplementary information for collection event for cohort 2 blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah UNTIL NOW,1956-06-01,31,1999-12-31 +testCohort1,test collection event 1A,test description for test collection event 1A,test subcohort 1A,1958,4,1994,4,"All ages,Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years),Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",3500,"Laboratory measures,Hematology,Biochemistry,Microbiology,Virology,Immunology,Toxicology,Histology,Genomics,Other laboratory measures","Medical records,National registries,Genealogical records","DNA,Plasma,RNA",Abstinence Orientation Scale,test other standardised tools for collection event 1A,"test core variable 1 for collection event 1A,test core variable 2 for collection event 1A,test core variable 3 for collection event 1A",test supplementary information for collection event 1A blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah UNTIL NOW,1958-04-01,30,1994-04-30 diff --git a/data/_demodata/applications/datacatalogue/External identifiers.csv b/data/_demodata/applications/datacatalogue/Collection external identifiers.csv similarity index 72% rename from data/_demodata/applications/datacatalogue/External identifiers.csv rename to data/_demodata/applications/datacatalogue/Collection external identifiers.csv index a09057a04a..bdab7b143e 100644 --- a/data/_demodata/applications/datacatalogue/External identifiers.csv +++ b/data/_demodata/applications/datacatalogue/Collection external identifiers.csv @@ -1,3 +1,3 @@ -resource,identifier,external identifier type,external identifier type other +collection,identifier,external identifier type,external identifier type other testCohort1,test external identifier for cohort 1,Clinical Trials.gov,other type of external identifier testCohort2,test external identifier for cohort 2,EUDRACT number,test external identifier other type diff --git a/data/_demodata/applications/datacatalogue/Linked resources.csv b/data/_demodata/applications/datacatalogue/Collection linkages.csv similarity index 68% rename from data/_demodata/applications/datacatalogue/Linked resources.csv rename to data/_demodata/applications/datacatalogue/Collection linkages.csv index 6095ff1977..eb17e4cfa4 100644 --- a/data/_demodata/applications/datacatalogue/Linked resources.csv +++ b/data/_demodata/applications/datacatalogue/Collection linkages.csv @@ -1,4 +1,4 @@ -main resource,linked resource,other linked resource,linkage strategy,linkage variable,linkage variable unique,linkage completeness,pre linked +collection,linked collection,other linked collection,linkage strategy,linkage variable,linkage variable unique,linkage completeness,pre linked ABL,VCN,not applicable,,,,, ABL,SPF,not applicable,,,,, ABL,SPA,not applicable,,,,, diff --git a/data/_demodata/applications/datacatalogue/Collection organisations.csv b/data/_demodata/applications/datacatalogue/Collection organisations.csv new file mode 100644 index 0000000000..c5d2c811fe --- /dev/null +++ b/data/_demodata/applications/datacatalogue/Collection organisations.csv @@ -0,0 +1,184 @@ +id,pid,acronym,name,type,type other,institution,institution acronym,email,logo,logo_filename,address,expertise,country,features,role,website,description,index,collection +AMC,,AMC,Amsterdam Medical Center ,University,,,,,,,,,Netherlands (the),,Lead,,,39,ABCD +AMC,,AMC,Amsterdam Medical Center ,University,,,,,,,,,Netherlands (the),,Lead,,,104,TestDataSourceID +TUNI,,,Tampere University,University,,,,,,,,,Finland,,Lead,https://www.tuni.fi/en,,7,HPV +INSERM,,INSERM,National Institute of Medical Research ,Research centre,,,,,,,,,France,,Lead,,,0,CONSTANCES +INSERM,,INSERM,National Institute of Medical Research ,Research centre,,,,,,,,,France,,Lead,,,13,EDEN +INSERM,,INSERM,National Institute of Medical Research ,Research centre,,,,,,,,,France,,Lead,,,14,PELAGIE +INSERM,,INSERM,National Institute of Medical Research ,Research centre,,,,,,,,,France,,Lead,,,18,Sepages +INSERM,,INSERM,National Institute of Medical Research ,Research centre,,,,,,,,,France,,Lead,,,20,ELFE +UEF,,UEF,University of Eastern Finland,University,,,,,,,,,Finland,,Lead,,,25,FEF +UEF,,UEF,University of Eastern Finland,University,,,,,,,,,Finland,,Lead,,,45,PANIC +UEF,,UEF,University of Eastern Finland,University,,,,,,,,,Finland,,Lead,,,49,SYSDIMET +BRI,,BRI,Bradford Royal Infirmary,Teaching hospital,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,Lead,,,15,BIB +NIPH,,NIPH,Norwegian Institute of Public Health,Government agency,,,,,,,,,Norway,,Lead,https://www.fhi.no/en/,,33,MoBa +UHASSELT,,UHASSELT,Hasselt University (Universiteit Hasselt),University,,,,,,,,,Belgium,,Lead,http://www.uhasselt.be/en,,52,ENVIRONAGE +NKI,,NKI,Netherlands Cancer Institute,Research centre,,,,,,,,,,,Lead,,,48,mtFIT study +UWA,,UWA,University of Western Australia,University,,,,,,,,,Australia,,Lead,https://www.uwa.edu.au/,,24,RAINE +VMU,,VMU,Vytautas Magnus University,University,,,,,,,"K. Donelaičio g. 58, LT-44248 Kaunas",,Lithuania,,Lead,https://www.vdu.lt/,,26,KANC +Amsterdam UMC (AMC),,,"Amsterdam UMC, location AMC",Academic medical centre,Netherlands (the),,,,,,,,,,Lead,,,42,DFBC +Soton,,Soton,University of Southampton,University,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,Lead,https://www.southampton.ac.uk/,,22,SWS +KI,,KI,Karolinska Institutet,University,,,,,,,,,Sweden,,Lead,https://ki.se/en,,6,CSC +UIBK,,UIBK,Universität Innsbruck,University,,,,,,,,,Austria,,Lead,https://www.uibk.ac.at/,,8,LSC +GGZ Drenthe,,,GGZ Drenthe,,,,,,,,,,,,Lead,,,,PSYCONN +GGZ Friesland,,,GGZ Friesland,,,,,,,,,,,,Lead,,,,PSYCONN +Lentis Research,,,Lentis Research,,,,,,,,,,,,Lead,,,,PSYCONN +ISPUP,,,Institute of Public Health of the University of Porto,,,,,,,,,,,,Lead,,,1,G21 +EMC,,EMC,Erasmus MC,University,,,,,,,,,Netherlands (the),,Lead,,,16,GenR +EMC,,EMC,Erasmus MC,University,,,,,,,,,Netherlands (the),,Lead,,,17,GenR Next +EMC,,EMC,Erasmus MC,University,,,,,,,,,Netherlands (the),,Lead,,,30,RS3 +EMC,,EMC,Erasmus MC,University,,,,,,,,,Netherlands (the),,Lead,,,37,RS2 +EMC,,EMC,Erasmus MC,University,,,,,,,,,Netherlands (the),,Lead,,,41,RS1 +UOB,,UOB,University of Bristol,University,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,Lead,,,35,ALSPAC +RECETOX,,RECETOX,Research Centre for Toxic Compounds in the Environment,Research centre,,,,,,,,,Czechia,,Lead,https://www.recetox.muni.cz/en,,36,CELSPAC-TNG +VHIO,,,FUNDACIO PRIVADA INSTITUT D'INVESTIGACIO ONCOLOGICA DE VALL-HEBRON,,,,,,,,,,Spain,,Lead,https://www.vhio.net/,,2,mCRC-VHIO +UOULU,,UOULU,University of Oulu,University,,,,,,,,,Finland,,Lead,,,27,NFBC1986 +UOULU,,UOULU,University of Oulu,University,,,,,,,,,Finland,,Lead,,,31,NFBC1966 G0 +UOULU,,UOULU,University of Oulu,University,,,,,,,,,Finland,,Lead,,,32,FinnGeDi +UOULU,,UOULU,University of Oulu,University,,,,,,,,,Finland,,Lead,,,46,NFBC1966 +ISGLOBAL,,ISGLOBAL,Barcelona Institute for Global Health,Research centre,,,,,,,,,Spain,,Lead,,,40,HELIX +UiO,,UiO,University of Oslo,Academic institution,,,,,,,,,Norway,,Lead,,"PharmacoEpidemiology and Drug Safety Research Group (PharmaSafe) is a research group within the Department of Pharmacy at the Faculty of Mathematics and Natural Sciences, UiO. The research group coordinates and performs studies of medications in pregnancy. First, PharmaSafe/UiO apply to the Regional Ethical Regional Committees for Medical and Health Research Ethics (REC)*. REC carries out an assessment as to whether research is undertaken in an acceptable manner. This entails the consideration of benefit versus risk for the participants and whether data protection is assured. UiOs Data Protection Officer performs the Data Protection Impact Assessment (DPIA). Upon approval from REC and the data protection officer at UiO, PharmaSafe/UiO applies to the administrator of each database for use of data files, and negotiates the terms and data transfer agreements. All data files are transferred from the different registries to UiO where it is uploaded to TSD, a secure platform for data storage and analysis (GDPR compliant). On TSD, the data files from the different registries are linked using the Norwegian national identity number. International researchers can access the data through TSD or sign a data transfer agreement with UiO and have data transferred abroad. There are some restrictions on the types of data that can be transferred abroad. The data themselves are free of charge, but costs accrue for administrative handling and file processing.",38,NOMA +UiO,,UiO,University of Oslo,Academic institution,,,,,,,,,Norway,,Lead,,"PharmacoEpidemiology and Drug Safety Research Group (PharmaSafe) is a research group within the Department of Pharmacy at the Faculty of Mathematics and Natural Sciences, UiO. The research group coordinates and performs studies of medications in pregnancy. First, PharmaSafe/UiO apply to the Regional Ethical Regional Committees for Medical and Health Research Ethics (REC)*. REC carries out an assessment as to whether research is undertaken in an acceptable manner. This entails the consideration of benefit versus risk for the participants and whether data protection is assured. UiOs Data Protection Officer performs the Data Protection Impact Assessment (DPIA). Upon approval from REC and the data protection officer at UiO, PharmaSafe/UiO applies to the administrator of each database for use of data files, and negotiates the terms and data transfer agreements. All data files are transferred from the different registries to UiO where it is uploaded to TSD, a secure platform for data storage and analysis (GDPR compliant). On TSD, the data files from the different registries are linked using the Norwegian national identity number. International researchers can access the data through TSD or sign a data transfer agreement with UiO and have data transferred abroad. There are some restrictions on the types of data that can be transferred abroad. The data themselves are free of charge, but costs accrue for administrative handling and file processing.",96,MBRN +CHUT,,CHUT,Centre Hospitalier Universitaire de Toulouse,Academic institution,,,,,,,,,France,,Lead,,"CHUT is a University Hospital in Touloue, in the region of Haute Garonne (France)",91,EFEMERIS_PRESCRIPTION +SSI,,SSI,Statens Serum Institut,Research centre,,,,,,,,,Denmark,,Lead,,,5,CON +SSI,,SSI,Statens Serum Institut,Research centre,,,,,,,,,Denmark,,Lead,,,66,ADVANCE Coverage POC +ARS.TOSCANA,,ARS,Agenzia regionale di sanità della Toscana,Research centre,,,,,,,,,Italy,,Lead,https://www.ars.toscana.it/,"ARS is an agency of the Tuscany Region, and acts as a technical and scientific consultant both to the regional government and to the Regional Council. The Tuscany Region transmits a copy of its healthcare administrative databases to ARS, which is entitled by regional law to use it for its institutional purposes, upon permission of a board representing the Regional Council. Ars also receives copy of the other regional data banks.Upon permission, ARS may request access to local data banks, for specific purposes (eg validation)",87,AP +ARS.TOSCANA,,ARS,Agenzia regionale di sanità della Toscana,Research centre,,,,,,,,,Italy,,Lead,https://www.ars.toscana.it/,"ARS is an agency of the Tuscany Region, and acts as a technical and scientific consultant both to the regional government and to the Regional Council. The Tuscany Region transmits a copy of its healthcare administrative databases to ARS, which is entitled by regional law to use it for its institutional purposes, upon permission of a board representing the Regional Council. Ars also receives copy of the other regional data banks.Upon permission, ARS may request access to local data banks, for specific purposes (eg validation)",88,ARS_ANAG_MED_RES_storico +ARS.TOSCANA,,ARS,Agenzia regionale di sanità della Toscana,Research centre,,,,,,,,,Italy,,Lead,https://www.ars.toscana.it/,"ARS is an agency of the Tuscany Region, and acts as a technical and scientific consultant both to the regional government and to the Regional Council. The Tuscany Region transmits a copy of its healthcare administrative databases to ARS, which is entitled by regional law to use it for its institutional purposes, upon permission of a board representing the Regional Council. Ars also receives copy of the other regional data banks.Upon permission, ARS may request access to local data banks, for specific purposes (eg validation)",101,ABL +ARS.TOSCANA,,ARS,Agenzia regionale di sanità della Toscana,Research centre,,,,,,,,,Italy,,Lead,https://www.ars.toscana.it/,"ARS is an agency of the Tuscany Region, and acts as a technical and scientific consultant both to the regional government and to the Regional Council. The Tuscany Region transmits a copy of its healthcare administrative databases to ARS, which is entitled by regional law to use it for its institutional purposes, upon permission of a board representing the Regional Council. Ars also receives copy of the other regional data banks.Upon permission, ARS may request access to local data banks, for specific purposes (eg validation)",,SEA +ARS.TOSCANA,,ARS,Agenzia regionale di sanità della Toscana,Research centre,,,,,,,,,Italy,,Lead,https://www.ars.toscana.it/,"ARS is an agency of the Tuscany Region, and acts as a technical and scientific consultant both to the regional government and to the Regional Council. The Tuscany Region transmits a copy of its healthcare administrative databases to ARS, which is entitled by regional law to use it for its institutional purposes, upon permission of a board representing the Regional Council. Ars also receives copy of the other regional data banks.Upon permission, ARS may request access to local data banks, for specific purposes (eg validation)",,SPF +UMCU,,UMCU,UMC Utrecht,Academic institution,,,,,,,,,Netherlands (the),,"Researcher, Lead",https://www.umcutrecht.nl/nl,,78,ACCESS +UMCU,,UMCU,UMC Utrecht,Academic institution,,,,,,,,,Netherlands (the),,"Researcher, Lead",https://www.umcutrecht.nl/nl,,,FORCE-NEN +UMCU,,UMCU,UMC Utrecht,Academic institution,,,,,,,,,Netherlands (the),,"Researcher, Lead",https://www.umcutrecht.nl/nl,,,FORCE-NEN collections +UMCU,,UMCU,UMC Utrecht,Academic institution,,,,,,,,,Netherlands (the),,"Researcher, Lead",https://www.umcutrecht.nl/nl,,,OOM +BBMRI-ERIC,,BBMRI-ERIC,Biobanking and Biomolecular Resources Research Infrastructure – European Research Infrastructure Consortium,Not-for-profit,,,,,,,,,Austria,,Lead,,,29,CRC-Cohort +UCPH,,UCPH,University of Copenhagen,Academic institution,,,,,,,,,Denmark,,Lead,https://www.ku.dk/english/,,50,DNBC +UB,,UB-BPE,"Université de Bordeaux, Bordeaux PharmacoEpi",Academic institution,,,,nicolas.thurin@u-bordeaux.fr,,,"146 rue Leo Saignat - Case 41 +33076 Bordeaux Cedex +France","Over the last 15 years, BPE has been developing its expertise in pharmacoepidemiology in many therapeutic areas, carrying out both field studies with ad-hoc data collection, and database studies relying on secondary data. BPE has an extensive experience in the use of the French Nationwide healthcare database (Système National des Données de Santé - SNDS) encompassing outpatients claims and hospital discharge summaries of the 67 million French people, to generate real world evidence around health technologies. The platform is used to conduct federated analyses with international partners.",France,,"Researcher, Lead",http://www.bordeauxpharmacoepi.eu/en/,"BPE is a research platform of the Université de Bordeaux specialized in pharmacoepidemiology and real world evidence generation. +BPE is part of the French National Institute of Health and Medical Research (INSERM), is certified ISO 9001:v2015 for its pharmacoepidemiology research activities. The platform has been registered with ENCePP since ENCePP’s creation and is on the list of the EMA procurement procedure for drug safety (EMA/2012/08/C).",94,DIAGNOSTIC +DHL.I,,THL,Finnish Institute for Health and Welfare,Government agency,,,,maarit.leinonen@thl.fi,,,"Postal address: P.O. Box 30, FI-00271 Helsinki, Finland +Street address: Mannerheimintie 166, Helsinki",,Finland,,"Data originator,Researcher, Lead",https://thl.fi/en/web/thlfi-en,"THL is a Finnish expert agency that provides reliable information on health and welfare for decision-making and activities in the field. + +Utilization of health registry data for scientific research always requires approval from the register administrators. Finnish Social and Health Data Permit Authority Findata grants permits for the secondary use of social and health care data used in the ConcePTION.",99,AVOHILMO +DHL.I,,THL,Finnish Institute for Health and Welfare,Government agency,,,,maarit.leinonen@thl.fi,,,"Postal address: P.O. Box 30, FI-00271 Helsinki, Finland +Street address: Mannerheimintie 166, Helsinki",,Finland,,"Data originator,Researcher, Lead",https://thl.fi/en/web/thlfi-en,"THL is a Finnish expert agency that provides reliable information on health and welfare for decision-making and activities in the field. + +Utilization of health registry data for scientific research always requires approval from the register administrators. Finnish Social and Health Data Permit Authority Findata grants permits for the secondary use of social and health care data used in the ConcePTION.",103,DHL +GSK,,GSK,GlaxoSmithKline,Pharmaceutical company,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,Lead,,,,OOM +CNR-IFC,,CNR-IFC,CNR Tuscany,Research centre,,,,apier@ifc.cnr.it,,,,"CNR-IFC has a consolidate experience in designing epidemiological and health studies and performing the statistical analysis of multidimensional data. +As a member of EUROmediCAT and EUROmediSafe consortia and wider EUROCAT and ICBDSR networks is specialised in pregnancy related research.",Italy,,"Researcher,Surveillance, Lead",https://www.ifc.cnr.it/index.php/en/,"CNR-IFC is responsible in the Tuscany Region to perform research and surveillance activities by using data from the regional congenital anomalies registry. The Tuscany Region collects administrative and surveillance data bank on whole the Tuscan population; CNR-IFC is entitled to receive the records which are referred to children in the congenital anomaly registry, and link them to the congenital anomaly registry. Linkage is possible for children and for mothers.",,SEA +CNR-IFC,,CNR-IFC,CNR Tuscany,Research centre,,,,apier@ifc.cnr.it,,,,"CNR-IFC has a consolidate experience in designing epidemiological and health studies and performing the statistical analysis of multidimensional data. +As a member of EUROmediCAT and EUROmediSafe consortia and wider EUROCAT and ICBDSR networks is specialised in pregnancy related research.",Italy,,"Researcher,Surveillance, Lead",https://www.ifc.cnr.it/index.php/en/,"CNR-IFC is responsible in the Tuscany Region to perform research and surveillance activities by using data from the regional congenital anomalies registry. The Tuscany Region collects administrative and surveillance data bank on whole the Tuscan population; CNR-IFC is entitled to receive the records which are referred to children in the congenital anomaly registry, and link them to the congenital anomaly registry. Linkage is possible for children and for mothers.",,SPF +UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,Lead,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands.,23,Immune-Image_Task_6.2a +UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,Lead,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands.,43,Immune-Image_Task_6.2b +UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,Lead,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands.,44,Immune-Image_Task_6.3 +UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,Lead,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands.,61,IPEC +UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,Lead,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands.,63,testNetwork2 +UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,Lead,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands.,64,testNetworkofNetworks +UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,Lead,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands.,65,testNetwork1 +UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,Lead,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands.,102,EUROCAT NNL +UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,Lead,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands.,,FORCE-NEN +UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,Lead,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands.,,FORCE-NEN collections +UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,Lead,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands.,,PSYCONN +test lead organisation 2,https://pid-for-leadorg2.org,acronym for test lead organisation 2,name for test lead organisation 2,EU Institution/Body/Agency,test other type of lead organisation,test lead organisation institution,acronym for test lead organisation institution,testemailforleadorg@testdomain.nl,,,"test address for lead org 2 line 1 +test address for lead org 2 line 2 +test address for lead org 2 line 3",test expertise for lead org 2,"""Bonaire, Sint Eustatius and Saba""","Research interest,ENCePP center,Experience","Data provider, Lead",,,56,testCohort2 +test lead organisation 2,https://pid-for-leadorg2.org,acronym for test lead organisation 2,name for test lead organisation 2,EU Institution/Body/Agency,test other type of lead organisation,test lead organisation institution,acronym for test lead organisation institution,testemailforleadorg@testdomain.nl,,,"test address for lead org 2 line 1 +test address for lead org 2 line 2 +test address for lead org 2 line 3",test expertise for lead org 2,"""Bonaire, Sint Eustatius and Saba""","Research interest,ENCePP center,Experience","Data provider, Lead",,,,testCohort1 +Test lead organisation 1,https://pid-for-leadorg1.org,ACRONYM FOR LEADORG1,Name for lead organisation 1,Regulatory Authority,other type of lead organisation,Test lead organisation institution,TLOI,molgenis-support@umcg.nl,,,"test lead organisation address line 1 +test lead organisation address line 2 +test lead organisation address line 3",test lead organisation expertise,Botswana,"Research interest,ENCePP center,Experience","Data originator,Data holder,Data provider,Researcher,Surveillance,Other, Lead",,,,testCohort1 +AMC,,AMC,Amsterdam Medical Center ,University,,,,,,,,,Netherlands (the),,,,,,testNetwork2 +AMC,,AMC,Amsterdam Medical Center ,University,,,,,,,,,Netherlands (the),,,,,,testNetworkofNetworks +AMC,,AMC,Amsterdam Medical Center ,University,,,,,,,,,Netherlands (the),,,,,,testNetwork1 +CYN,,CYN,Cynexo ,SME,,,,,,,,,Italy,,,,,,testNetwork2 +CYN,,CYN,Cynexo ,SME,,,,,,,,,Italy,,,,,,testNetworkofNetworks +CYN,,CYN,Cynexo ,SME,,,,,,,,,Italy,,,,,,testNetwork1 +TUNI,,,Tampere University,University,,,,,,,,,Finland,,,https://www.tuni.fi/en,,,WDC +INSERM,,INSERM,National Institute of Medical Research ,Research centre,,,,,,,,,France,,,,,,TestDataSourceID +UCL,,UCL,University College London ,University,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,,,,TestDataSourceID +MUMC,,,Maastricht UMC+,Academic medical centre,,,,,,,,,,,,,,,FORCE-NEN +MUMC,,,Maastricht UMC+,Academic medical centre,,,,,,,,,,,,,,,FORCE-NEN collections +NKI,,NKI,Netherlands Cancer Institute,Research centre,,,,,,,,,,,,,,,FORCE-NEN +NKI,,NKI,Netherlands Cancer Institute,Research centre,,,,,,,,,,,,,,,FORCE-NEN collections +KI,,KI,Karolinska Institutet,University,,,,,,,,,Sweden,,,https://ki.se/en,,,WDC +GGZ Drenthe,,,GGZ Drenthe,,,,,,,,,,,,,,,,IPEC +GGZ Friesland,,,GGZ Friesland,,,,,,,,,,,,,,,,IPEC +Lentis Research,,,Lentis Research,,,,,,,,,,,,,,,,IPEC +AmsterdamUMC (VUmc),,,Amterdam UMC locatie VUmc,Academic medical centre,,,,,,,,,,,,,,,FORCE-NEN +AmsterdamUMC (VUmc),,,Amterdam UMC locatie VUmc,Academic medical centre,,,,,,,,,,,,,,,FORCE-NEN collections +EMC,,EMC,Erasmus MC,University,,,,,,,,,Netherlands (the),,,,,,FORCE-NEN +EMC,,EMC,Erasmus MC,University,,,,,,,,,Netherlands (the),,,,,,FORCE-NEN collections +Maxima MC,,MMC,Maxima Medisch Centrum,Hospital/Clinic/Other health care facility,,,,,,,,,,,,,,,FORCE-NEN +Maxima MC,,MMC,Maxima Medisch Centrum,Hospital/Clinic/Other health care facility,,,,,,,,,,,,,,,FORCE-NEN collections +UOULU,,UOULU,University of Oulu,University,,,,,,,,,Finland,,,,,,WDC +UoD,,UoD,University of Dundee,Academic institution,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,,,,OOM +AEMPS,,AEMPS,Agencia Española de Medicamentos y Productos Sanitarios,Government agency,,,,,,,,"The Spanish Agency on medicines and medical devices (AEMPS) is responsable to guarantee the quality, safety, efficacy and correct information of the medicines and medical devices. To do this, the AEMPs has a broad and multidisciplinary expertise in all matters related to medicines and medical devices. In this context, the AEMPs fully finance the non-profit program BIFAP that supports a longitudinal population-based database of computer-based medical patient records belonging to the National Health Service (NHS). The main use of BIFAP is for research purposes in order to evaluate the adverse and beneficial effects of drugs and drug utilization patterns as used in the general population under real conditions of use. The BIFAP multidisciplinary team includes Epidemiologists, clinicians, statistitians, project management and Information Technology personnel with a broad expertise in designing, managing, anlyzing and interpreting big data information.",Spain,,,https://www.aemps.gob.es/,,,OOM +JP,,JP,Janssen Pharmaceutica NV,Pharmaceutical company,,,,,,,,,Belgium,,,,,,OOM +PHARMO.I,,PHARMO,PHARMO Institute,Research centre,,,,,,,,"PHARMO is an independent scientific research organisation dedicated to drug utilisation reviews and outcomes research in current practice. PHARMO assists universities, companies and agencies to formulate and optimise research questions to meet company goals to the highest scientific standards. The institute has direct access to large and high quality pharmaco-epidemiological databases included in the PHARMO Database Network and is staffed with academic trained specialists in epidemiology, pharmacotherapeutics, medicine and informatics. The high level of expertise and access to real world data enables rapid and professional handling of research questions meeting the highest research standards. PHARMO coordinates multi-database studies in Europe in collaboration with local expertise centres. Through collaboration the opportunity arises to increase sample size and market heterogeneity, which allows identification of rare outcomes, small effects and complex interactions with comorbidities and co-medication. Furthermore, working with local partners ensures access to the data and expertise of the local healthcare system and database structure.",Netherlands (the),,Researcher,https://pharmo.nl/,,,OOM +PHARMO.I,,PHARMO,PHARMO Institute,Research centre,,,,,,,,"PHARMO is an independent scientific research organisation dedicated to drug utilisation reviews and outcomes research in current practice. PHARMO assists universities, companies and agencies to formulate and optimise research questions to meet company goals to the highest scientific standards. The institute has direct access to large and high quality pharmaco-epidemiological databases included in the PHARMO Database Network and is staffed with academic trained specialists in epidemiology, pharmacotherapeutics, medicine and informatics. The high level of expertise and access to real world data enables rapid and professional handling of research questions meeting the highest research standards. PHARMO coordinates multi-database studies in Europe in collaboration with local expertise centres. Through collaboration the opportunity arises to increase sample size and market heterogeneity, which allows identification of rare outcomes, small effects and complex interactions with comorbidities and co-medication. Furthermore, working with local partners ensures access to the data and expertise of the local healthcare system and database structure.",Netherlands (the),,Researcher,https://pharmo.nl/,,,ACCESS +LAREB,,LAREB,Stichting LAREB,Not-for-profit,,,,,,,,,Netherlands (the),,,,,,OOM +AU,,AU,Aarhus University,Academic institution,,,,,,,,"Department of Clinical Epidemiology, Aarhus University, offers consultancy services and research collaboration to health authorities as well as to the pharmaceutical and biotech industries. Our research is focused on prevention, diagnostics and treatment and related areas such as biostatistics, evidence-based medicine, and e-health as well as traditional research and quality assessments. Approximately 100 people are affiliated with the department.",Denmark,,Researcher,https://international.au.dk/,"Department of Clinical Epidemiology, Aarhus University, is a highly specialized research department working with clinical epidemiology at an international level. Its mission is to improve clinical care through high-quality clinical epidemiological research, education, and translation of knowledge into clinical practice. Its vision is to be a world-leading department of clinical epidemiology, working in global partnership to address contemporary and future clinical challenges.",,OOM +UiO,,UiO,University of Oslo,Academic institution,,,,,,,,,Norway,,,,"PharmacoEpidemiology and Drug Safety Research Group (PharmaSafe) is a research group within the Department of Pharmacy at the Faculty of Mathematics and Natural Sciences, UiO. The research group coordinates and performs studies of medications in pregnancy. First, PharmaSafe/UiO apply to the Regional Ethical Regional Committees for Medical and Health Research Ethics (REC)*. REC carries out an assessment as to whether research is undertaken in an acceptable manner. This entails the consideration of benefit versus risk for the participants and whether data protection is assured. UiOs Data Protection Officer performs the Data Protection Impact Assessment (DPIA). Upon approval from REC and the data protection officer at UiO, PharmaSafe/UiO applies to the administrator of each database for use of data files, and negotiates the terms and data transfer agreements. All data files are transferred from the different registries to UiO where it is uploaded to TSD, a secure platform for data storage and analysis (GDPR compliant). On TSD, the data files from the different registries are linked using the Norwegian national identity number. International researchers can access the data through TSD or sign a data transfer agreement with UiO and have data transferred abroad. There are some restrictions on the types of data that can be transferred abroad. The data themselves are free of charge, but costs accrue for administrative handling and file processing.",,OOM +CHUT,,CHUT,Centre Hospitalier Universitaire de Toulouse,Academic institution,,,,,,,,,France,,,,"CHUT is a University Hospital in Touloue, in the region of Haute Garonne (France)",,OOM +UKZN,,UKZN,University of KwaZulu-Natal,Academic institution,,,,,,,,,South Africa,,,,,,OOM +KUL,,KUL,KU Leuven,Academic institution,,,,,,,,,Belgium,,,,,,OOM +UPP,,UPP,Uppsala Universitet,Academic institution,,,,,,,,,Sweden,,,,,,OOM +SIDIAP.I,,SIDIAP,Information System for Research in Primary Care,Research centre,,,,,,,,,Spain,,,,,,OOM +FERR,,FERR,Università degli Studi di Ferrara – University of Ferrara,Academic institution,,,,,,,,,Italy,,,,,,OOM +UM,,UM,University of Messina,Academic institution,,,,,,,,,Italy,,,,The pharmacoepidemiology group of the University of Messina uses Caserta healthcare claims databases available in-house.,,OOM +UM,,UM,University of Messina,Academic institution,,,,,,,,,Italy,,,,The pharmacoepidemiology group of the University of Messina uses Caserta healthcare claims databases available in-house.,,ACCESS +ARS.TOSCANA,,ARS,Agenzia regionale di sanità della Toscana,Research centre,,,,,,,,,Italy,,,https://www.ars.toscana.it/,"ARS is an agency of the Tuscany Region, and acts as a technical and scientific consultant both to the regional government and to the Regional Council. The Tuscany Region transmits a copy of its healthcare administrative databases to ARS, which is entitled by regional law to use it for its institutional purposes, upon permission of a board representing the Regional Council. Ars also receives copy of the other regional data banks.Upon permission, ARS may request access to local data banks, for specific purposes (eg validation)",,OOM +MLT.I,,MLT,Malta Congenital Anomalies Registry Directorate for Health Information and Research,Research centre,,,,,,,,,Malta,,,,,,OOM +USWAN,,USWAN,University of Swansea,Academic institution,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,,,,OOM +IHD,,IHD,The European Institute for Innovation through Health Data,Research centre,,,,,,,,,,,,,,,OOM +NP,,NP,Novartis Pharma AG,Pharmaceutical company,,,,,,,,,Switzerland,,,,,,OOM +UCB,,UCB,UCB biopharma,Pharmaceutical company,,,,,,,,,,,,,,,OOM +SAN,,SAN,Sanofi,Pharmaceutical company,,,,,,,,,France,,,,,,OOM +TAK,,TAK,Takeda,Pharmaceutical company,,,,,,,,,Japan,,,,,,OOM +BBMRI-ERIC,,BBMRI-ERIC,Biobanking and Biomolecular Resources Research Infrastructure – European Research Infrastructure Consortium,Not-for-profit,,,,,,,,,Austria,,,,,,OOM +JORDIGOL,,JORDIGOL,Institut de Recerca en Atenció Primària Jordi Gol,Academic institution,,,,,,,,,Spain,,,,,,ACCESS +UCPH,,UCPH,University of Copenhagen,Academic institution,,,,,,,,,Denmark,,,https://www.ku.dk/english/,,,IPEC +UB,,UB-BPE,"Université de Bordeaux, Bordeaux PharmacoEpi",Academic institution,,,,nicolas.thurin@u-bordeaux.fr,,,"146 rue Leo Saignat - Case 41 +33076 Bordeaux Cedex +France","Over the last 15 years, BPE has been developing its expertise in pharmacoepidemiology in many therapeutic areas, carrying out both field studies with ad-hoc data collection, and database studies relying on secondary data. BPE has an extensive experience in the use of the French Nationwide healthcare database (Système National des Données de Santé - SNDS) encompassing outpatients claims and hospital discharge summaries of the 67 million French people, to generate real world evidence around health technologies. The platform is used to conduct federated analyses with international partners.",France,,Researcher,http://www.bordeauxpharmacoepi.eu/en/,"BPE is a research platform of the Université de Bordeaux specialized in pharmacoepidemiology and real world evidence generation. +BPE is part of the French National Institute of Health and Medical Research (INSERM), is certified ISO 9001:v2015 for its pharmacoepidemiology research activities. The platform has been registered with ENCePP since ENCePP’s creation and is on the list of the EMA procurement procedure for drug safety (EMA/2012/08/C).",,OOM +UB,,UB-BPE,"Université de Bordeaux, Bordeaux PharmacoEpi",Academic institution,,,,nicolas.thurin@u-bordeaux.fr,,,"146 rue Leo Saignat - Case 41 +33076 Bordeaux Cedex +France","Over the last 15 years, BPE has been developing its expertise in pharmacoepidemiology in many therapeutic areas, carrying out both field studies with ad-hoc data collection, and database studies relying on secondary data. BPE has an extensive experience in the use of the French Nationwide healthcare database (Système National des Données de Santé - SNDS) encompassing outpatients claims and hospital discharge summaries of the 67 million French people, to generate real world evidence around health technologies. The platform is used to conduct federated analyses with international partners.",France,,Researcher,http://www.bordeauxpharmacoepi.eu/en/,"BPE is a research platform of the Université de Bordeaux specialized in pharmacoepidemiology and real world evidence generation. +BPE is part of the French National Institute of Health and Medical Research (INSERM), is certified ISO 9001:v2015 for its pharmacoepidemiology research activities. The platform has been registered with ENCePP since ENCePP’s creation and is on the list of the EMA procurement procedure for drug safety (EMA/2012/08/C).",,ACCESS +DHL.I,,THL,Finnish Institute for Health and Welfare,Government agency,,,,maarit.leinonen@thl.fi,,,"Postal address: P.O. Box 30, FI-00271 Helsinki, Finland +Street address: Mannerheimintie 166, Helsinki",,Finland,,"Data originator,Researcher",https://thl.fi/en/web/thlfi-en,"THL is a Finnish expert agency that provides reliable information on health and welfare for decision-making and activities in the field. + +Utilization of health registry data for scientific research always requires approval from the register administrators. Finnish Social and Health Data Permit Authority Findata grants permits for the secondary use of social and health care data used in the ConcePTION.",,OOM +OVGU,,OVGU,Otto von Guericke University Magdeburg,Academic institution,,,,,,,,,Germany,,,,,,OOM +CNR-IFC,,CNR-IFC,CNR Tuscany,Research centre,,,,apier@ifc.cnr.it,,,,"CNR-IFC has a consolidate experience in designing epidemiological and health studies and performing the statistical analysis of multidimensional data. +As a member of EUROmediCAT and EUROmediSafe consortia and wider EUROCAT and ICBDSR networks is specialised in pregnancy related research.",Italy,,"Researcher,Surveillance",https://www.ifc.cnr.it/index.php/en/,"CNR-IFC is responsible in the Tuscany Region to perform research and surveillance activities by using data from the regional congenital anomalies registry. The Tuscany Region collects administrative and surveillance data bank on whole the Tuscan population; CNR-IFC is entitled to receive the records which are referred to children in the congenital anomaly registry, and link them to the congenital anomaly registry. Linkage is possible for children and for mothers.",,OOM +FISABIO,,FISABIO,Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana,Research centre,,,,,,,"FISABIO / Avda. De Catalunya, 21/46020 Valencia, Spain",,Spain,,Researcher,http://fisabio.san.gva.es/,"The Foundation for the Promotion of Health and Biomedical Research of Valencian Region, FISABIO, is a non-profit scientific and healthcare entity, whose primary purpose is to encourage, to promote and to develop scientific and technical health and biomedical research in Valencian Region. +FISABIO provides service to more than 1,500 healthcare professionals within the Valencian network, who are specialists working in research projects and clinical trials managed by the Foundation. +Among FISABIO the main objectives are: +• To facilitate, promote, develop and execute research according to existing research plans in the Valencia Department of Health. +• To act as scientific and technical research and innovation driving agent, providing the necessary basis to promote interaction between research teams located in Universities, Hospitals, the Scientific Research Council and other similar institutions. +• To facilitate and promote the training of professionals and researchers within the Health field. +• To perform and promote all type of studies that generate knowledge in the field of health care and health in general. +• To Cooperate and develop healthcare activities +**FISABIO- Rare Diseases Research Unit aims to increase global understanding on the current situation and distribution of rare diseases and congenital anomalies, as well as their effects on the population, using epidemiological methods for analyzing studies’ design and implementation, in addition to spatial epidemiology techniques. Moreover, it is responsible for the population-based registry of congenital anomalies in the Valencian Region.",,OOM +ULST,,ULST,University of Ulster,Academic institution,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,,,,OOM +UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands.,,OOM +LIPRE,,LIPRE,Leibniz Institute for Prevention Research and Epidemiology,Research centre,,,,,,,,,Germany,,,,,,OOM +LIPRE,,LIPRE,Leibniz Institute for Prevention Research and Epidemiology,Research centre,,,,,,,,,Germany,,,,,,ACCESS +Test additional organisation 1,https://pid-for-additionalorg1.org,acronym for test additional organisation 1,name of test additional organisation 1,"Company,Pharmaceutical company,Non-Pharmaceutical company,SME",other type of additional organisation 1,Institution for additional organisation 1,acronym for institution for additional organisation 1,molgenis-support@umcg.nl,,,"test address for additional organisation line 1 +test address for additional organisation line 2 +test address for additional organisation line 3",test expertise of additional organisation,Canada,Experience,Surveillance,,,,testCohort1 +id for test additional organisation 2,https://pid-for-additionalorg2.org,acronym for test additional organisation 2,name for test additional organisation 2,Research centre,test other type of additional organisation,test institution for additional organisation 2,acronym for institution for additional organisation 2,testemailaddorg@testdomain.nl,,,"test address for additional org 2 line 1 +test address for additional org 2 line 2 +test address for additional org 2 line 3",test expertise for additional org 2,Bosnia and Herzegovina,Experience,"Data provider,Surveillance",,,56,testCohort2 +id for test additional organisation 2,https://pid-for-additionalorg2.org,acronym for test additional organisation 2,name for test additional organisation 2,Research centre,test other type of additional organisation,test institution for additional organisation 2,acronym for institution for additional organisation 2,testemailaddorg@testdomain.nl,,,"test address for additional org 2 line 1 +test address for additional org 2 line 2 +test address for additional org 2 line 3",test expertise for additional org 2,Bosnia and Herzegovina,Experience,"Data provider,Surveillance",,,,testCohort1 +EMC,,EMC,Erasmus MC,University,,,,,,,,,Netherlands (the),,,,,28,LifeCycle +UOULU,,UOULU,University of Oulu,University,,,,,,,,,Finland,,,,,25,HPV +UOULU,,UOULU,University of Oulu,University,,,,,,,,,Finland,,,,,29,LongITools +UOULU,,UOULU,University of Oulu,University,,,,,,,,,Finland,,,,,33,MAT diff --git a/data/_demodata/applications/datacatalogue/Collection publications.csv b/data/_demodata/applications/datacatalogue/Collection publications.csv new file mode 100644 index 0000000000..bdf6e13692 --- /dev/null +++ b/data/_demodata/applications/datacatalogue/Collection publications.csv @@ -0,0 +1,139 @@ +index,collection,doi,is design publication,title,authors,year,journal,volume,number,pagination,publisher,school,abstract +0.0,CONSTANCES,https://doi.org/10.1007/s10654-015-0096-4,true,"The French CONSTANCES population-based cohort: design, inclusion and follow-up.",,,,,,,,, +11.0,MAT,https://doi.org/10.1002/cam4.1222,true,Cancer Registry follow-up for 17 million person-years of a nationwide maternity cohort,"Lehtinen M,Surcel HM,Natunen K,Pukkala E,Dillner J",2017.0,Cancer Med.,,,,,, +12.0,WDC,https://doi.org/10.1097/EE9.0000000000000182,true,Human exposome assessment platform,"Trier Møller F,Clements MS,Kozlakidis Z,Pimenoff VN,Wilkowski B,Boeckhout M,Öhman H,Chong S,Holzinger A,Lehtinen M,van Veen EB,Bała P,Widschwendter M,Snyder MP,Dillner J,Merino Martinez R,Müller H,Negru S,Ormenisan A,Arroyo Mühr LS,Zh",2021.0,Environmental Epidemiology,,,,,, +13.0,EDEN,https://doi.org/10.1093/ije/dyv151,true,EDEN mother-child cohort study group. Cohort Profile: The EDEN mother-child cohort on the prenatal and early postnatal determinants of child health and development.,,,,,,,,, +15.0,BIB,https://doi.org/10.1093/ije/dys112,true,Cohort Profile: the Born in Bradford multi-ethnic family cohort study.,,,,,,,,, +16.0,GenR,https://doi.org/10.1007/s10654-006-9022-0,true,The Generation R Study: Design and cohort profile,,,,,,,,, +18.0,Sepages,https://doi.org/10.3390/ijerph16203888,true,Deciphering the Impact of Early-Life Exposures to Highly Variable Environmental Factors on Foetal and Child Health: Design of SEPAGES Couple-Child Cohort,"""Lyon-Caen S, Siroux V, Lepeule J, et al.""",2019.0,International Journal of Environmental Research and Public Health,16.0,,,,, +19.0,INMA,https://doi.org/10.1093/ije/dyr054,true,INMA Project. Cohort Profile: the INMA--INfancia y Medio Ambiente--(Environment and Childhood) Project.,,,,,,,,, +20.0,ELFE,https://doi.org/10.1093/ije/dyz227,true,Cohort Profile: The French national cohort of children (ELFE): birth to 5 years.,,,,,,,,, +55.0,testCohort1,https://doi.org/10.1093/ije/dyz227,true,Cohort Profile: The French national cohort of children (ELFE): birth to 5 years.,,,,,,,,, +22.0,SWS,https://doi.org/10.1093/ije/dyi202,true,Cohort profile: the Southampton women's survey.,,,,,,,,, +24.0,RAINE,https://doi.org/10.5694/mja12.10698,true,Birth of a cohort--the first 20 years of the Raine study.,,,,,,,,, +56.0,testCohort2,https://doi.org/10.5694/mja12.10698,true,Birth of a cohort--the first 20 years of the Raine study.,,,,,,,,, +,testCohort1,https://doi.org/10.5694/mja12.10698,false,Birth of a cohort--the first 20 years of the Raine study.,,,,,,,,, +25.0,FEF,https://doi.org/10.1186/1475-2891-13-104,true,Postprandial glucose metabolism and SCFA after consuming wholegrain rye bread and wheat bread enriched with bioprocessed rye bran in individuals with mild gastrointestinal symptoms.,,,,,,,,, +30.0,RS3,https://doi.org/10.1007/s10654-020-00640-5,true,"Objectives, design and main findings until 2020 from the Rotterdam Study.",,,,,,,,, +37.0,RS2,https://doi.org/10.1007/s10654-020-00640-5,true,"Objectives, design and main findings until 2020 from the Rotterdam Study.",,,,,,,,, +41.0,RS1,https://doi.org/10.1007/s10654-020-00640-5,true,"Objectives, design and main findings until 2020 from the Rotterdam Study.",,,,,,,,, +33.0,MoBa,https://doi.org/10.1093/ije/dyl170,true,Cohort profile: the Norwegian Mother and Child Cohort Study (MoBa).,,,,,,,,, +35.0,ALSPAC,https://doi.org/10.1093/ije/dys064,true,Cohort Profile: the 'children of the 90s'--the index offspring of the Avon Longitudinal Study of Parents and Children.,"Boyd A,Golding J,Macleod J,Lawlor DA,Fraser A,Henderson J,Molloy L,Ness A,Ring S,Davey Smith G.",2013.0,Int J Epidemiol.,42.0,1.0,111-27,,,"The Avon Longitudinal Study of Parents and Children (ALSPAC) is a transgenerational prospective observational study investigating influences on health and development across the life course. It considers multiple genetic, epigenetic, biological, psychological, social and other environmental exposures in relation to a similarly diverse range of health, social and developmental outcomes. Recruitment sought to enroll pregnant women in the Bristol area of the UK during 1990-92; this was extended to include additional children eligible using the original enrollment definition up to the age of 18 years. The children from 14541 pregnancies were recruited in 1990-92, increasing to 15247 pregnancies by the age of 18 years. This cohort profile describes the index children of these pregnancies. Follow-up includes 59 questionnaires (4 weeks-18 years of age) and 9 clinical assessment visits (7-17 years of age). The resource comprises a wide range of phenotypic and environmental measures in addition to biological samples, genetic (DNA on 11343 children, genome-wide data on 8365 children, complete genome sequencing on 2000 children) and epigenetic (methylation sampling on 1000 children) information and linkage to health and administrative records. Data access is described in this article and is currently set up as a supported access resource. To date, over 700 peer-reviewed articles have been published using ALSPAC data." +38.0,NOMA,https://doi.org/10.1017/S0007114516003445,true,"Exchanging a few commercial, regularly consumed food items with improved fat quality reduces total cholesterol and LDL-cholesterol: a double-blind, randomised controlled trial.",,,,,,,,, +39.0,ABCD,https://doi.org/10.1093/ije/dyq128,true,Cohort profile: the Amsterdam born children and their development (ABCD) study.,,,,,,,,, +42.0,DFBC,https://doi.org/10.1136/bmjopen-2020-042078,true,Cohort profile: the Dutch famine birth cohort (DFBC)—a prospective birth cohort study in the,,,,,,,,, +45.0,PANIC,https://doi.org/10.1007/s00125-020-05250-0,true,A 2 year physical activity and dietary intervention attenuates the increase in insulin resistance in a general population of children: the PANIC study.,,,,,,,,, +49.0,SYSDIMET,https://doi.org/10.1007/s00125-011-2285-3,true,"A diet high in fatty fish, bilberries and wholegrain products improves markers of endothelial function and inflammation in individuals with impaired glucose metabolism in a randomised controlled trial: The Sysdimet study.",,,,,,,,, +50.0,DNBC,https://doi.org/10.1177/14034948010290040201,true,"The Danish National Birth Cohort - its background, structure and aim. Scandinavian Journal of Public Health.",,,,,,,,, +52.0,ENVIRONAGE,https://doi.org/10.1093/ije/dyw269,true,Cohort Profile: The ENVIRonmental influence ON early AGEing (ENVIRONAGE): a birth cohort study.,,,,,,,,, +25.0,FEF,https://doi.org/10.1093/ajcn/nqy394,false,Decreased plasma serotonin and other metabolite changes in healthy adults after consumption of wholegrain rye: an untargeted metabolomics study,"Pekka Keski-Rahkonen,Marjukka Kolehmainen,Jenni Lappi,Valerie Micard,Jenna Jokkala,Natalia Rosa-Sibakov,Jussi Pihlajam ki,Pirkka V Kirjavainen,Hannu Mykk nen,Kaisa Poutanen,""Marc J Gunter,""",2019.0,The American journal of clinical nutrition,6.0,,1630-1639,,,"Background: Wholegrain consumption has been associated with beneficial health effects including reduction of diabetes and cancer risk; however, the underlying mechanisms are not fully understood. + +Objective: The aim of this study was to characterize the effects of wholegrain rye intake on circulating metabolites in a human intervention study using untargeted metabolomics. + +Methods: The intervention consisted of 2 successive 4-wk periods in a randomized crossover design, where 15 adults consumed wholegrain rye bread (WGR) or white wheat bread enriched with fermented rye bran (WW+RB), following a 4-wk rye-free period with white wheat bread (WW). Fasting plasma samples were collected at the end of each period and analyzed using liquid chromatography-mass spectrometry. Metabolic profiles were compared to identify compounds discriminating WGR from the WW+RB and WW periods. Because peripheral serotonin is produced mainly in the gut, a hypothesis of its altered biosynthesis as a response to increased cereal fiber intake was tested by measuring intestinal serotonin of mice fed for 9 wk on a high-fat diet supplemented with different sources of fiber (rye bran flour, ground wheat aleurone, or powdered cellulose). + +Results: Five endogenous metabolites and 15 rye phytochemicals associated with WGR intake were identified. Plasma concentrations of serotonin, taurine, and glycerophosphocholine were significantly lower after the WGR than WW period (Q < 0.05). Concentrations of 2 phosphatidylethanolamine plasmalogens, PE(18:2/P-18:0) and PE(18:2/P-16:0), were lower after the WGR period than the WW+RB period (Q < 0.05). The concentration of serotonin was significantly lower in the colonic tissue of mice that consumed rye bran or wheat aleurone compared with cellulose (P < 0.001). + +Conclusions: Wholegrain rye intake decreases plasma serotonin in healthy adults when compared with refined wheat. Intake of rye bran and wheat aleurone decreases colonic serotonin in mice. These results suggest that peripheral serotonin could be a potential link between wholegrain consumption and its associated health effects.Data used in the study were derived from a trial registered at www.clinicaltrials.gov as NCT03550365. + +Keywords: 5-HT; alkylresorcinol; dietary intervention; glycerophosphocholine; metabolomics; plasmalogen; rye; serotonin; taurine; wholegrain." +35.0,ALSPAC,https://doi.org/10.1093/ije/dys066,false,Cohort Profile: the Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort,"Abigail Fraser,Corrie Macdonald-Wallis,Kate Tilling,Andy Boyd,Jean Golding,George Davey Smith,John Henderson,John Macleod,Lynn Molloy,Andy Ness,Susan Ring,Scott M Nelson,Debbie A Lawlor",2013.0,International journal of epidemiology,,,,,,"Summary The Avon Longitudinal Study of Children and Parents (ALSPAC) was established to understand how genetic and environmental characteristics influence health and development in parents and children. All pregnant women resident in a defined area in the South West of England, with an expected date of delivery between 1st April 1991 and 31st December 1992, were eligible and 13761 women (contributing 13867 pregnancies) were recruited. These women have been followed over the last 19-22 years and have completed up to 20 questionnaires, have had detailed data abstracted from their medical records and have information on any cancer diagnoses and deaths through record linkage. A follow-up assessment was completed 17-18 years postnatal at which anthropometry, blood pressure, fat, lean and bone mass and carotid intima media thickness were assessed, and a fasting blood sample taken. The second follow-up clinic, which additionally measures cognitive function, physical capability, physical activity (with accelerometer) and wrist bone architecture, is underway and two further assessments with similar measurements will take place over the next 5 years. There is a detailed biobank that includes DNA, with genome-wide data available on >10000, stored serum and plasma taken repeatedly since pregnancy and other samples; a wide range of data on completed biospecimen assays are available. Details of how to access these data are provided in this cohort profile." +42.0,DFBC,https://doi.org/10.1136/bmjopen-2013-003167,false,The developmental origins of ageing: study protocol for the Dutch famine birth cohort study on ageing,"Susanne R de Rooij,Tessa J Roseboom",2013.0,BMJ Open,,,,,,"Introduction Evidence from animal studies suggest that the rate of ageing may be influenced not only by genetic and lifestyle factors, but also by the prenatal environment. We have previously shown that people who were exposed to famine during early gestation performed worse on a selective attention task, which may be a first sign of cognitive decline, and were on average 3 years younger at the time of coronary artery disease diagnosis. Women in this group seem to die at a younger age. We hypothesise that an accelerated ageing process, set in motion by the poor prenatal environment, underlies these findings. + +Methods and analysis The Dutch Famine Birth Cohort consists of 2414 men and women born in Amsterdam as term singletons around the time of the Dutch famine. In a subsample of 150 cohort members, who now are about 68 years of age, we are currently measuring cognitive decline and the incidence of white matter hyperintensities and cerebral microbleeds (throand physical performance, visual acuity and incidence of cataract operations. In this same subgroup, we will assess telomere length, oxidative stress and inflammatory status as potential underlying mechanisms. Furthermore, in the entire cohort, we will assess mortality as well as hospital admissions for age-related diseases up to the age of 68 years. + +Ethics and dissemination The study was approved by the local medical ethics committee (Academic Medical Centre, University of Amsterdam) and is being carried out in agreement with the Declaration of Helsinki. All participants give written informed consent. Study findings will be widely disseminated to the scientific public as well as to the medical society and general public." +45.0,PANIC,https://doi.org/10.1016/j.numecd.2016.05.005,false,Dietary quality indices in relation to cardiometabolic risk among Finnish children aged 6-8 years - The PANIC study,"A M Eloranta,U Schwab,T Ven l inen,S Kiiskinen,H M Lakka",2016.0,"Nutrition, metabolism, and cardiovascular diseases : NMCD",,,,,,"Background and aims: There are no studies on the relationships of dietary quality indices to the clustering of cardiometabolic risk factors in children. We therefore investigated the associations of four dietary quality indices with cardiometabolic risk score and cardiometabolic risk factors in Finnish children. + +Methods and results: Subjects were a population sample of 204 boys and 198 girls aged 6-8 years. We assessed diet by 4-day food records and calculated Dietary Approaches to Stop Hypertension (DASH) Score, Baltic Sea Diet Score (BSDS), Mediterranean Diet Score (MDS), and Finnish Children Healthy Eating Index (FCHEI). We calculated the age- and sex-adjusted cardiometabolic risk score summing up Z-scores for waist circumference, mean of systolic and diastolic blood pressure and concentrations of fasting serum insulin and fasting plasma glucose, triglycerides and HDL cholesterol, the last multiplying by -1. Higher FCHEI was associated with lower cardiometabolic risk score among boys (standardised regression coefficient = -0.14, P = 0.044) adjusted for age, physical activity, electronic media time and household income. Higher DASH Score was related to a lower serum insulin in boys ( = -0.15, P = 0.028). Higher DASH Score ( = -0.16, P = 0.023) and FCHEI ( = -0.17, P = 0.014) were related to lower triglyceride concentration in boys. Higher FCHEI was associated with lower triglyceride concentration in girls ( = -0.16, P = 0.033). Higher DASH Score ( = -0.19, P = 0.011) and BSDS ( = -0.23, P = 0.001) were associated with lower plasma HDL cholesterol concentration in girls. + +Conclusion: Higher FCHEI was associated with lower cardiometabolic risk among boys, whereas DASH Score, BSDS or MDS were not associate" +46.0,NFBC1966,https://doi.org/10.1093/ije/dyab109,false,Cohort Profile: 46 years of follow-up of the Northern Finland Birth Cohort 1966 (NFBC1966),"Tanja Nordstr m,Jouko Miettunen,Juha Auvinen,Leena Ala-Mursula,Sirkka Kein nen-Kiukaanniemi,Juha Veijola,Marjo-Riitta J",2021.0,International Journal of Epidemiology,,,,,, +63.0,testNetwork2,https://doi.org/10.1016/S1473-3099(20)30873-2,false,"Sustainability of neutralising antibodies induced by bivalent or quadrivalent HPV vaccines and correlation with efficacy: a combined follow-up analysis of data from two randomised, double-blind, multicentre, phase 3 trials.","Filipe Colaço Mariz,Penelope Gray,Noemi Bender,Tiina Eriksson,Hanna Kann,Dan Apter,Jorma Paavonen,Emma Pajunen,Kristina M Prager,Peter Sehr,Heljä-Marja Surcel,Tim Waterboer,Martin Müller,Michael Pawlita,Matti Lehti",2021.0,Lancet Inf. Disease,,,,,, +64.0,testNetworkofNetworks,https://doi.org/10.1016/S1473-3099(20)30873-2,false,"Sustainability of neutralising antibodies induced by bivalent or quadrivalent HPV vaccines and correlation with efficacy: a combined follow-up analysis of data from two randomised, double-blind, multicentre, phase 3 trials.","Filipe Colaço Mariz,Penelope Gray,Noemi Bender,Tiina Eriksson,Hanna Kann,Dan Apter,Jorma Paavonen,Emma Pajunen,Kristina M Prager,Peter Sehr,Heljä-Marja Surcel,Tim Waterboer,Martin Müller,Michael Pawlita,Matti Lehti",2021.0,Lancet Inf. Disease,,,,,, +,testNetwork1,https://doi.org/10.1016/S1473-3099(20)30873-2,false,"Sustainability of neutralising antibodies induced by bivalent or quadrivalent HPV vaccines and correlation with efficacy: a combined follow-up analysis of data from two randomised, double-blind, multicentre, phase 3 trials.","Filipe Colaço Mariz,Penelope Gray,Noemi Bender,Tiina Eriksson,Hanna Kann,Dan Apter,Jorma Paavonen,Emma Pajunen,Kristina M Prager,Peter Sehr,Heljä-Marja Surcel,Tim Waterboer,Martin Müller,Michael Pawlita,Matti Lehti",2021.0,Lancet Inf. Disease,,,,,, +,PELAGIE,https://doi.org/10.1289/ehp.1002775,false,Urinary Biomarkers of Prenatal Atrazine Exposure and Adverse Birth Outcomes in the PELAGIE Birth Cohort,Chevrier C et al.,2011.0,EHP,,,,,, +,PELAGIE,https://doi.org/10.1186/1476-069X-12-102,false,"Maternal fish and shellfish consumption and wheeze, eczema and food allergy at age two: a prospective cohort study in Brittany, France",Pelé F,2013.0,Environ Health,,,,,, +,PELAGIE,https://doi.org/10.1016/j.envint.2015.05.009,false,Pyrethroid insecticide exposure and cognitive developmental disabilities in children: The PELAGIE mother,Viel et al.,2015.0,Environ Int,,,,,, +,BIB,https://doi.org/10.14301/llcs.v4i2.221,false,"Design and characteristics of a new birth cohort, to study the early origins and ethnic variation of childhood obesity: the BiB1000 study","Bryant M,Santorelli G,Fairley L,West J,Lawlor DA,Bhopal R,Petherick E,Sahota P,Hill A,Cameron N,Small N,Wright J",2013.0,Longitudinal and Life Course Studies,4.0,2.0,119-135,Born in Bradford,,"Epidemiological evidence indicates that early life factors are important for obesity development but there are gaps in knowledge regarding the impact of exposures during pregnancy and early life, especially in South Asian children. There is a corresponding lack of evidence to guide development of culturally-appropriate, obesity prevention programmes. This paper describes the methodology and characteristics of participants in Born in Bradford 1000 (BiB1000), a nested cohort of the Born in Bradford prospective birth cohort. BiB1000 aims to enable a deep and extensive understanding of the predictors and influences of health-related behaviours to develop a culturally-specific obesity prevention intervention. 1,735 mothers agreed to take part in detailed assessments focused on risk factors of obesity. Of these, 1,707 had singleton births. Data were collected from the families during pregnancy, at birth and when the infant was aged 6, 12, 18, 24 and 36 months. Approximately half of the mothers (n=933) are of South Asian ethnicity; of which, just under half were born in the UK. Prevalence of obesity in BiB1000 is similar to the full BiB cohort and to UK national averages. In addition to pre-specified hypothesised targets for obesity prevention, (e.g. parental feeding styles, diet and activity), BiB1000 is exploring qualitative determinants of behaviours andother exposures with a lesser evidence base (e.g. food environments, sleep, parenting practices). These data will enable a rich understanding of the behaviours and their determinants in order to inform the development of a culturally-relevant, childhood obesity prevention intervention." +,BIB,https://doi.org/10.1186/s12889-019-7222-2,false,Growing up in Bradford: protocol for the age 7 11 follow up of the Born,"Philippa K Bird,Rosemary R. C. McEachan,Mark Mon-Williams,Neil Small,Jane West,Peter Whincup,John Wright,Elizabeth Andrews,Sally E Barber,Liam J B Hill,Laura Lennon,Dan Mason,Katy A Shire,Dagmar Waiblinger,Amanda H. Waterman,Deborah A. Lawlor,Kate E. Pickett",2019.0,BMC Public Health,19.0,,,Born in Bradford,,"Background +Born in Bradford (BiB) is a prospective multi-ethnic pregnancy and birth cohort study that was established to examine determinants of health and development during childhood and, subsequently, adult life in a deprived multi-ethnic population in the north of England. Between 2007 and 2010, the BiB cohort recruited 12,453 women who experienced 13,776 pregnancies and 13,858 births, along with 3353 of their partners. Forty five percent of the cohort are of Pakistani origin. Now that children are at primary school, the first full follow-up of the cohort is taking place. The aims of the follow-up are to investigate the determinants of children s pre-pubertal health and development, including through understanding parents health and wellbeing, and to obtain data on exposures in childhood that might influence future health. + +Methods +We are employing a multi-method approach across three data collection arms (community-based family visits, school based phy motor function and wellbeing measures) to follow-up over 9000 BiB children aged 7 11 years and their families between 2017 and 2021. We are collecting detailed parent and child questionnaires, cognitive and sensorimotor assessments, blood pressure, anthropometry and blood samples from parents and children. Dual x-ray absorptiometry body scans, accelerometry and urine samples are collected on subsamples. Informed consent is collected for continued routine data linkage to health, social care and education records. A range of engagement activities are being used to raise the profile of BiB and to disseminate findings. + +Discussion +Our multi-method approach to recruitment and assessment provides an efficient method of collecting rich data on all family members. Data collected will enhance BiB as a resource for the international research community to study the interplay between ethnicity, socioeconomic circumstances and biology in relation to cardiometabolic healorimotor development and wellbeing." +,BIB,https://doi.org/10.1186/1471-2458-8-327,false,"Born in Bradford, a cohort study of babies born in Bradford, and their parents: protocol for the recruitment phase","Pauline Raynor,Born in Bradford Collaborative Group",2008.0,BMC Public Health,,,,,,"Background: Bradford, one of the most deprived cities in the United Kingdom, has a wide range of public health problems associated with socioeconomic deprivation, including an infant mortality rate almost double that for England and Wales. Infant mortality is highest for babies of Pakistani origin, who comprise almost half the babies born in Bradford. The Born in Bradford cohort study aims to examine environmental, psychological and genetic factors that impact on health and development perinatally, during childhood and subsequent adult life, and those that influence their parents' health and wellbeing. This protocol outlines methods for the recruitment phase of the study. + +Methods: Most Bradford women attend for antenatal care and give birth at the Bradford Royal Infirmary, which has approximately 5,800 births per year. Women are eligible for recruitment if they plan to give birth here. Babies born from March 2007 are eligible to participate, recruitment is planned to continue until 2010. Fathers of babies recruited are invited to participate. Women are usually recruited when they attend for a routine oral glucose tolerance test at 26-28 weeks gestation. Recruitment of babies is at birth. Fathers are recruited whenever possible during the antenatal period, or soon after the birth. The aim is to recruit 10,000 women, their babies, and the babies' fathers. At recruitment women have blood samples taken, are interviewed to complete a semi-structured questionnaire, weighed, and have height, arm circumference and triceps skinfold measured. Umbilical cord blood is collected at birth. Within two weeks of birth babies have their head, arm and abdominal circumference measured, along with subscapular and triceps skinfold thickness. Fathers self-complete a questionnaire at recruitment, have height and weight measured, and provide a saliva sample. Participants are allocated a unique study number. NHS numbers will be used to facilitate record linkage and access to routine data. A wide range of hospital and community sources is being accessed to provide data for the women and children. Data are checked for accuracy and consistency. + +Conclusion: Born in Bradford will increase understanding of the factors that contribute to health and wellbeing, and identify factors that influence differences in them between people of Pakistani and European origin." +,GenR,https://doi.org/10.1007/s10654-010-9516-7,false,The Generation R Study: design and cohort update 2010,,2010.0,European Journal of Epidemiology,25.0,,,,, +,GenR,https://doi.org/10.1111/j.1365-3016.2003.00521.x,false,"Growth, development and health from early fetal life until young adulthood: the Generation R Study","""Albert Hofman, Vincent W. V. Jaddoe, Johan P. Mackenbach, Henriette A. Moll, Rosalinde F. M. Snijders, Eric A. P. Steegers, Frank C. Verhulst, Jacqueline C. M. Witteman, Hans A. B""",2004.0,Pediatric and Perinatal Epidemiology,18.0,1.0,61-72,,, +,GenR,https://doi.org/10.1007/s10654-007-9209-z,false,The Generation R Study Biobank: a resource for epidemiological studies in children and their parents,"""Vincent W. V. Jaddoe, Rachel Bakker, Cock M. van Duijn, Albert J. van der Heijden, Jan Lindemans, Johan P. Mackenbach, Henri tte A. Moll, Eric A. P. Steegers, Henning Tiemeier, Andre G. Uitterlinden, Frank C. Verhulst""",2007.0,European Journal of Epidemiology,22.0,,917-923,,, +,GenR,https://doi.org/10.1007/s10654-008-9309-4,false,The Generation R Study: design and cohort update until the age of 4 years,"""Vincent W. V. Jaddoe, Cornelia M. van Duijn, Albert J. van der Heijden, Johan P. Mackenbach, Henri tte A. Moll, Eric A. P. Steegers, Henning Tiemeier, Andre G. Uitterlinden, Frank C. Verhulst""",2008.0,European Journal of Epidemiology volume,23.0,,,,, +,GenR,https://doi.org/10.1007/s10654-012-9735-1,false,The Generation R Study: design and cohort update 2012,"""Vincent W. V. Jaddoe, Cornelia M. van Duijn, Oscar H. Franco, Albert J. van der Heijden, Marinus H. van IIzendoorn, Johan C. de Jongste, Aad van der Lugt, Johan P. Mackenbach, Henri tte A. Moll, Hein Raat, Fernando Rivadeneira, Eric A. P.""",2012.0,European Journal of Epidemiology,27.0,,739-756,,, +,GenR,https://doi.org/10.1007/s10654-014-9980-6,false,The Generation R Study: Biobank update 2015,"""Claudia J. Kruithof, Marjolein N. Kooijman, Cornelia M. van Duijn, Oscar H. Franco, Johan C. de Jongste, Caroline C. W. Klaver, Johan P. Mackenbach, Henri tte A. Moll, Hein Raat, Edmond H. H. M. Rings, Fernando Rivadeneira, Eric A. P. Stee""",2014.0,European Journal of Epidemiology,29.0,,911-927,,, +,GenR,https://doi.org/10.1007/s10654-016-0224-9,false,The Generation R Study: design and cohort update 2017,"""Marjolein N. Kooijman, Claudia J. Kruithof, Cornelia M. van Duijn, Liesbeth Duijts, Oscar H. Franco, Marinus H. van IJzendoorn, Johan C. de Jongste, Caroline C. W. Klaver, Aad van der Lugt, Johan P. Mackenbach, Henri tte A. Moll, Robin P.""",2016.0,European Journal of Epidemiology,31.0,,1243-1264,,, +,GenR,https://doi.org/10.1007/s10654-013-9768-0,false,Pediatric population-based neuroimaging and the Generation R Study: the intersection of developmental neuroscience and epidemiology,"""Tonya White, Hanan El Marroun, Ilse Nijs, Marcus Schmidt, Aad van der Lugt, Piotr A. Wielopolki, Vincent W. V. Jaddoe, Albert Hofman, Gabriel P. Krestin, Henning Tiemeier & Frank C. Verhulst""",2013.0,European Journal of Epidemiology volume,28.0,,99-111,,, +,Sepages,https://doi.org/10.1016/j.envpol.2021.117650,false,Pre- and early post-natal exposure to phthalates and DINCH in a new type of mother-child cohort relying on the collection of repeated urine samples,Philippat et el.,2021.0,,,,,,, +,Sepages,https://doi.org/10.1016/j.envint.2020.105678,false,Exposure to phenols during pregnancy and the first year of life in a new type of couple-child cohort relying on repeated urine biospecimens,Rolland et al.,2020.0,,,,,,, +,Sepages,https://doi.org/10.1016/j.envint.2021.106697,false,Associations between a mixture of phenols and phthalates and child behaviour in a French mother-child cohort with repeated assessment of exposure,Guilbert et al.,2021.0,,,,,,, +,NFBC1986,https://doi.org/10.1111/j.1365-3016.1997.tb00007.x,false,Ecological and individual predictors of birthweight in a northern Finland birth cohort 1986,"M R Järvelin,P Elliott,I Kleinschmidt,M Martuzzi,C Grundy,A L Hartikainen,P Ranta",1997.0,Paediatric and perinatal epidemiology,,,,,,"This multilevel study of spatial variability in, and determinants of, birthweight was conducted using individual and ecological data in a geographically defined prospective birth cohort for 1986 in northern Finland. The study area comprises three large areas defined by latitude: Northern Lapland (NL), Southern Lapland (SL) and Oulu province (OP), comprising 74 localities with a total study population of 9216 singleton births. The mean birthweight was 3482 g for NL, 3537 g for SL and 3587 g for OP (NL vs. OP and SL vs. OP: P < 0.05). The crude rate for stillbirths was highest in NL. The women in the northernmost area were socially less privileged and the localities less prosperous compared with those in the southernmost area. Significant spatial clustering of mean birthweights was found (P = 0.0016), with highest birthweight in the south-western part of the study area. A variable expressing the wealth of each locality, the financial capacity category (FCC), had its lowest mean value in NL, with a range of one to six for the localities studied here. A multilevel multiple regression model showed that, after allowing for sex, gestational age, mother's age, height and hypertensive disorders, parity, body mass index, previous low birthweight child and smoking as individual determinants of birthweight, part of the residual variation could be explained by the locality wealth parameter. Using the multilevel model, the differences in mean birthweight across the three latitude areas persisted but were reduced (difference OP vs. NL reduced from 105 g to 86.5 g). The relationship between birthweight and FCC was inverse U-shaped with the highest mean birthweight estimated for localities occurring in the middle of the range (FCC = 3). The wealthiest urban localities (FCC = 6) and the most deprived localities (FCC = 1) both had a predicted birthweight about 60 g below the maximum at FCC = 3, if all other factors were held constant. This result, taken together with the spatial clustering of birthweights, suggests that there may be important social and environmental determinants of birthweight that have yet to be identified." +,NFBC1986,https://doi.org/10.1111/j.1471-0528.1993.tb12971.x,false,Labour induction policy in hospitals of different levels of specialisation,"M R Järvelin,A L Hartikainen-Sorri,P Ranta",1993.0,British journal of obstetrics and gynaecology,,,,,,"Objective: To examine indications for the induction of labour and variations in the current policy of induction at different levels of obstetric specialisation and to compare the outcome of induced and spontaneous labour. + +Design: A prospective 1 year birth cohort. + +Setting: Maternity hospitals in the two northernmost administrative provinces of Finland, including one university hospital and three central hospitals, three local hospitals and five health centres. + +Subjects: Eight thousand six hundred and six singleton pregnancies, including 1679 with induced labour. + +Main outcome measure: Data collection on age, parity, social factors and education at antenatal clinic. Data on labour collected from the hospital records after delivery. + +Results: Labour was induced significantly more often at units of the lowest level of specialisation, the health centres (29.4%) than at the local hospitals (23.6%, P < 0.003) or in the most specialised central hospitals (17.7%, P < 0.0001). Cases of induced labour accumulated on working days. Indicative reasons, such as maternal or fetal conditions, comprised 45.0% of the indications for induction, the most common causes being elective reasons, e.g. timing of labour (51.3%). The risk of elective induction was 2.6 times greater at the primary care level than at the central hospitals (95% confidence limit, CL 2.0-3.2). The corresponding risk ratio for local hospitals was 1.8 (CL 1.5-2.1). The risk of caesarean section was 1.5 times greater in the elective induction group than in the spontaneous group (CL 1.1-1.9) and 2.9 times greater in the indicative induction group. The most common indication for caesarean section was dysfunctional, arrested labour, causes such as fetal asphyxia or antenatal haemorrhage were not seen in excess. + +Conclusion: The practice of induction of labour are not consistent in different hospitals. The opinions of individual practitioners and staff routines influence the induction policy nearly as much as do medical reasons. Despite the safety of induction, a liberal induction policy leads to an increase in operative deliveries creating potential risks for the mother and child and greater expense." +,RS3,https://doi.org/10.1007/s10654-009-9386-z,false,The Rotterdam Study: 2010 objectives and design update,"Albert Hofman,Monique M B Breteler,Cornelia M van Duijn,Harry L A Janssen,Gabriel P Krestin,Ernst J Kuipers,Bruno H Ch Stricker,Henning Tiemeier,Andr G Uitterlinden,Johannes R Vingerling,Jacquel",2009.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in close to a 1,000 research articles and reports (see www.epib.nl/rotterdamstudy). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS2,https://doi.org/10.1007/s10654-009-9386-z,false,The Rotterdam Study: 2010 objectives and design update,"Albert Hofman,Monique M B Breteler,Cornelia M van Duijn,Harry L A Janssen,Gabriel P Krestin,Ernst J Kuipers,Bruno H Ch Stricker,Henning Tiemeier,Andr G Uitterlinden,Johannes R Vingerling,Jacquel",2009.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in close to a 1,000 research articles and reports (see www.epib.nl/rotterdamstudy). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS1,https://doi.org/10.1007/s10654-009-9386-z,false,The Rotterdam Study: 2010 objectives and design update,"Albert Hofman,Monique M B Breteler,Cornelia M van Duijn,Harry L A Janssen,Gabriel P Krestin,Ernst J Kuipers,Bruno H Ch Stricker,Henning Tiemeier,Andr G Uitterlinden,Johannes R Vingerling,Jacquel",2009.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in close to a 1,000 research articles and reports (see www.epib.nl/rotterdamstudy). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS3,https://doi.org/10.1007/BF00145007,false,Determinants of disease and disability in the elderly: the Rotterdam Elderly Study,"A Hofman,D E Grobbee,P T de Jong,F A van den Ouweland",1991.0,European Journal of epidemiology,,,,,,"In this paper the Rotterdam Elderly Study is presented. The aim of the study is to investigate determinants of disease occurrence and progression in the elderly. In addition to contributing to our understanding of the etiology of geriatric illnesses, the study is expected to lead to specific recommendations for intervention. The study focuses on causally related determinants of major diseases in the elderly. Fields of interest for the Rotterdam Elderly Study are conditions which interfere the most with the quality of life for the elderly. The aims of the Rotterdam Elderly Study are: (1) To investigate, by means of epidemiologic, clinical and basic research, the determinants of diseases in order to assess their etiologic significance. (2) To investigate potentially modifiable determinants in order to be able to develop preventive strategies by providing specific recommendations for intervention studies. The Rotterdam Elderly Study focuses on four primary areas of research: neurogeriatric diseases, cardiovascular diseases, locomotor diseases and ophthalmologic diseases. It is a prospective follow-up study, in which determinants of disease and determinants of progression of disease will be investigated in the total population of 55 years or over of the district of Ommoord in Rotterdam. It is anticipated that about 10,000 people will participate in the study and they will be examined in the period of 1991 to 1995." +,RS2,https://doi.org/10.1007/BF00145007,false,Determinants of disease and disability in the elderly: the Rotterdam Elderly Study,"A Hofman,D E Grobbee,P T de Jong,F A van den Ouweland",1991.0,European Journal of epidemiology,,,,,,"In this paper the Rotterdam Elderly Study is presented. The aim of the study is to investigate determinants of disease occurrence and progression in the elderly. In addition to contributing to our understanding of the etiology of geriatric illnesses, the study is expected to lead to specific recommendations for intervention. The study focuses on causally related determinants of major diseases in the elderly. Fields of interest for the Rotterdam Elderly Study are conditions which interfere the most with the quality of life for the elderly. The aims of the Rotterdam Elderly Study are: (1) To investigate, by means of epidemiologic, clinical and basic research, the determinants of diseases in order to assess their etiologic significance. (2) To investigate potentially modifiable determinants in order to be able to develop preventive strategies by providing specific recommendations for intervention studies. The Rotterdam Elderly Study focuses on four primary areas of research: neurogeriatric diseases, cardiovascular diseases, locomotor diseases and ophthalmologic diseases. It is a prospective follow-up study, in which determinants of disease and determinants of progression of disease will be investigated in the total population of 55 years or over of the district of Ommoord in Rotterdam. It is anticipated that about 10,000 people will participate in the study and they will be examined in the period of 1991 to 1995." +,RS1,https://doi.org/10.1007/BF00145007,false,Determinants of disease and disability in the elderly: the Rotterdam Elderly Study,"A Hofman,D E Grobbee,P T de Jong,F A van den Ouweland",1991.0,European Journal of epidemiology,,,,,,"In this paper the Rotterdam Elderly Study is presented. The aim of the study is to investigate determinants of disease occurrence and progression in the elderly. In addition to contributing to our understanding of the etiology of geriatric illnesses, the study is expected to lead to specific recommendations for intervention. The study focuses on causally related determinants of major diseases in the elderly. Fields of interest for the Rotterdam Elderly Study are conditions which interfere the most with the quality of life for the elderly. The aims of the Rotterdam Elderly Study are: (1) To investigate, by means of epidemiologic, clinical and basic research, the determinants of diseases in order to assess their etiologic significance. (2) To investigate potentially modifiable determinants in order to be able to develop preventive strategies by providing specific recommendations for intervention studies. The Rotterdam Elderly Study focuses on four primary areas of research: neurogeriatric diseases, cardiovascular diseases, locomotor diseases and ophthalmologic diseases. It is a prospective follow-up study, in which determinants of disease and determinants of progression of disease will be investigated in the total population of 55 years or over of the district of Ommoord in Rotterdam. It is anticipated that about 10,000 people will participate in the study and they will be examined in the period of 1991 to 1995." +,RS3,https://doi.org/10.1007/s10654-007-9199-x,false,The Rotterdam Study: objectives and design update,"Albert Hofman,Monique M B Breteler,Cornelia M van Duijn,Gabriel P Krestin,Huibert A Pols,Bruno H Ch Stricker,Henning Tiemeier,Andr G Uitterlinden,Johannes R Vingerling,Jacquel",,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in the Netherlands. The study targets cardiovascular, neurological, ophthalmological and endocrine diseases. As of 2008 about 15,000 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in some 600 research articles and reports (see http://www.epib.nl/rotterdamstudy). This article gives the reasons for the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS2,https://doi.org/10.1007/s10654-007-9199-x,false,The Rotterdam Study: objectives and design update,"Albert Hofman,Monique M B Breteler,Cornelia M van Duijn,Gabriel P Krestin,Huibert A Pols,Bruno H Ch Stricker,Henning Tiemeier,Andr G Uitterlinden,Johannes R Vingerling,Jacquel",,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in the Netherlands. The study targets cardiovascular, neurological, ophthalmological and endocrine diseases. As of 2008 about 15,000 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in some 600 research articles and reports (see http://www.epib.nl/rotterdamstudy). This article gives the reasons for the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS1,https://doi.org/10.1007/s10654-007-9199-x,false,The Rotterdam Study: objectives and design update,"Albert Hofman,Monique M B Breteler,Cornelia M van Duijn,Gabriel P Krestin,Huibert A Pols,Bruno H Ch Stricker,Henning Tiemeier,Andr G Uitterlinden,Johannes R Vingerling,Jacquel",,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in the Netherlands. The study targets cardiovascular, neurological, ophthalmological and endocrine diseases. As of 2008 about 15,000 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in some 600 research articles and reports (see http://www.epib.nl/rotterdamstudy). This article gives the reasons for the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS3,https://doi.org/10.1007/s10654-011-9610-5,false,The Rotterdam Study: 2012 objectives and design update,"Albert Hofman,Cornelia M van Duijn,Oscar H Franco,M Arfan Ikram,Harry L A Janssen,Caroline C W Klaver,Ernst J Kuipers,Tamar E C Nijsten,Bruno H Ch Stricker,Henning Tiemeier,Andr G Uitterlinden,Meike W Vernooij,Jacquel",2011.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, oncological, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over a 1,000 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS2,https://doi.org/10.1007/s10654-011-9610-5,false,The Rotterdam Study: 2012 objectives and design update,"Albert Hofman,Cornelia M van Duijn,Oscar H Franco,M Arfan Ikram,Harry L A Janssen,Caroline C W Klaver,Ernst J Kuipers,Tamar E C Nijsten,Bruno H Ch Stricker,Henning Tiemeier,Andr G Uitterlinden,Meike W Vernooij,Jacquel",2011.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, oncological, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over a 1,000 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS1,https://doi.org/10.1007/s10654-011-9610-5,false,The Rotterdam Study: 2012 objectives and design update,"Albert Hofman,Cornelia M van Duijn,Oscar H Franco,M Arfan Ikram,Harry L A Janssen,Caroline C W Klaver,Ernst J Kuipers,Tamar E C Nijsten,Bruno H Ch Stricker,Henning Tiemeier,Andr G Uitterlinden,Meike W Vernooij,Jacquel",2011.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, oncological, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over a 1,000 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS3,https://doi.org/10.1007/s10654-013-9866-z,false,The Rotterdam Study: 2014 objectives and design update,"Albert Hofman,Sarwa Darwish Murad,Cornelia M van Duijn,Oscar H Franco,Andr Goedegebure,M Arfan Ikram,Caroline C W Klaver,Tamar E C Nijsten,Robin P Peeters,Bruno H Ch Stricker,Henning W Tiemeier,Andr",2013.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, oncological, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over a 1,000 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS2,https://doi.org/10.1007/s10654-013-9866-z,false,The Rotterdam Study: 2014 objectives and design update,"Albert Hofman,Sarwa Darwish Murad,Cornelia M van Duijn,Oscar H Franco,Andr Goedegebure,M Arfan Ikram,Caroline C W Klaver,Tamar E C Nijsten,Robin P Peeters,Bruno H Ch Stricker,Henning W Tiemeier,Andr",2013.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, oncological, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over a 1,000 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS1,https://doi.org/10.1007/s10654-013-9866-z,false,The Rotterdam Study: 2014 objectives and design update,"Albert Hofman,Sarwa Darwish Murad,Cornelia M van Duijn,Oscar H Franco,Andr Goedegebure,M Arfan Ikram,Caroline C W Klaver,Tamar E C Nijsten,Robin P Peeters,Bruno H Ch Stricker,Henning W Tiemeier,Andr",2013.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, oncological, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over a 1,000 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS3,https://doi.org/10.1007/s10654-015-0082-x,false,The Rotterdam Study: 2016 objectives and design update,"Albert Hofman,Guy G O Brusselle,Sarwa Darwish Murad,Cornelia M van Duijn,Oscar H Franco,Andr Goedegebure,M Arfan Ikram,Caroline C W Klaver,Tamar E C Nijsten,Robin P Peeters,Bruno H Ch Stricker,Henning W Tiemeier,Andr",2015.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over 1200 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS2,https://doi.org/10.1007/s10654-015-0082-x,false,The Rotterdam Study: 2016 objectives and design update,"Albert Hofman,Guy G O Brusselle,Sarwa Darwish Murad,Cornelia M van Duijn,Oscar H Franco,Andr Goedegebure,M Arfan Ikram,Caroline C W Klaver,Tamar E C Nijsten,Robin P Peeters,Bruno H Ch Stricker,Henning W Tiemeier,Andr",2015.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over 1200 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS1,https://doi.org/10.1007/s10654-015-0082-x,false,The Rotterdam Study: 2016 objectives and design update,"Albert Hofman,Guy G O Brusselle,Sarwa Darwish Murad,Cornelia M van Duijn,Oscar H Franco,Andr Goedegebure,M Arfan Ikram,Caroline C W Klaver,Tamar E C Nijsten,Robin P Peeters,Bruno H Ch Stricker,Henning W Tiemeier,Andr",2015.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over 1200 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS3,https://doi.org/10.1007/s10654-017-0321-4,false,"The Rotterdam Study: 2018 update on objectives, design and main results","M Arfan Ikram,Guy G O Brusselle,Sarwa Darwish Murad,Cornelia M van Duijn,Oscar H Franco,Andr Goedegebure,Caroline C W Klaver,Tamar E C Nijsten,Robin P Peeters,Bruno H Stricker,Henning Tiemeier,Andr G Uitterlinde",2017.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. Since 2016, the cohort is being expanded by persons aged 40 years and over. The findings of the Rotterdam Study have been presented in over 1500 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS2,https://doi.org/10.1007/s10654-017-0321-4,false,"The Rotterdam Study: 2018 update on objectives, design and main results","M Arfan Ikram,Guy G O Brusselle,Sarwa Darwish Murad,Cornelia M van Duijn,Oscar H Franco,Andr Goedegebure,Caroline C W Klaver,Tamar E C Nijsten,Robin P Peeters,Bruno H Stricker,Henning Tiemeier,Andr G Uitterlinde",2017.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. Since 2016, the cohort is being expanded by persons aged 40 years and over. The findings of the Rotterdam Study have been presented in over 1500 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,RS1,https://doi.org/10.1007/s10654-017-0321-4,false,"The Rotterdam Study: 2018 update on objectives, design and main results","M Arfan Ikram,Guy G O Brusselle,Sarwa Darwish Murad,Cornelia M van Duijn,Oscar H Franco,Andr Goedegebure,Caroline C W Klaver,Tamar E C Nijsten,Robin P Peeters,Bruno H Stricker,Henning Tiemeier,Andr G Uitterlinde",2017.0,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. Since 2016, the cohort is being expanded by persons aged 40 years and over. The findings of the Rotterdam Study have been presented in over 1500 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." +,NOMA,https://doi.org/10.1093/ajcn/nqy356,false,Using metabolic profiling and gene expression analyses to explore molecular effects of replacing saturated fat with polyunsaturated fat-a randomized controlled dietary intervention study.,"""Ulven, Stine M et al""",2019.0,The American journal of clinical nutrition,109.0,5.0,"12,391,250",,, +,NOMA,https://doi.org/10.1016/j.numecd.2020.06.018,false,Associations between dietary patterns and gene expression pattern in peripheral blood mononuclear cells: A cross-sectional study.,"""Christensen, Jacob J et al.""",2020.0,"Nutrition, metabolism, and cardiovascular diseases : NMCD",30.0,11.0,"21,112,122",,, +,SYSDIMET,https://doi.org/10.1371/journal.pone.0090352,false,"Effects of whole grain, fish and bilberries on serum metabolic profile and lipid transfer protein activities: a randomized trial (Sysdimet)","Maria Lankinen,Marjukka Kolehmainen,Tiina J skel inen,Jussi Paananen,Laura Joukamo,Antti J Kangas,Pasi Soininen,Kaisa Poutanen,Hannu Mykk nen,Helena Gylling,Matej Ore",2014.0,pLoS One,,,,,,"Objective: We studied the combined effects of wholegrain, fish and bilberries on serum metabolic profile and lipid transfer protein activities in subjects with the metabolic syndrome. + +Methods: Altogether 131 subjects (40-70 y, BMI 26-39 kg/m(2)) with impaired glucose metabolism and features of the metabolic syndrome were randomized into three groups with 12-week periods according to a parallel study design. They consumed either: a) wholegrain and low postprandial insulin response grain products, fatty fish 3 times a week, and bilberries 3 portions per day (HealthyDiet), b) wholegrain and low postprandial insulin response grain products (WGED), or c) refined wheat breads as cereal products (Control). Altogether 106 subjects completed the study. Serum metabolic profile was studied using an NMR-based platform providing information on lipoprotein subclasses and lipids as well as low-molecular-weight metabolites. + +Results: There were no significant differences in clinical characteristics between the groups at baseline or at the end of the intervention. Mixed model analyses revealed significant changes in lipid metabolites in the HealthyDiet group during the intervention compared to the Control group. All changes reflected increased polyunsaturation in plasma fatty acids, especially in n-3 PUFAs, while n-6 and n-7 fatty acids decreased. According to tertiles of changes in fish intake, a greater increase of fish intake was associated with increased concentration of large HDL particles, larger average diameter of HDL particles, and increased concentrations of large HDL lipid components, even though total levels of HDL cholesterol remained stable. + +Conclusions: The results suggest that consumption of diet rich in whole grain, bilberries and especially fatty fish causes changes in HDL particles shifting their subclass distribution toward larger particles. These changes may be related to known protective functions of HDL such as reverse cholesterol transport and could partly explain the known protective effects of fish consumption against atherosclerosis. + +Trial registration: The study was registered at ClinicalTrials.gov NCT00573781." +,SYSDIMET,https://doi.org/10.1371/journal.pone.0022646,false,"Whole grain products, fish and bilberries alter glucose and lipid metabolism in a randomized, controlled trial: the Sysdimet study","Maria Lankinen,Ursula Schwab,Marjukka Kolehmainen,Jussi Paananen,Kaisa Poutanen,Hannu Mykk nen,Tuulikki Sepp nen-Laakso,Helena Gylli",2011.0,,,,,,,"Background: Due to the growing prevalence of type 2 diabetes, new dietary solutions are needed to help improve glucose and lipid metabolism in persons at high risk of developing the disease. Herein we investigated the effects of low-insulin-response grain products, fatty fish, and berries on glucose metabolism and plasma lipidomic profiles in persons with impaired glucose metabolism. + +Methodology/principal findings: Altogether 106 men and women with impaired glucose metabolism and with at least two other features of the metabolic syndrome were included in a 12-week parallel dietary intervention. The participants were randomized into three diet intervention groups: (1) whole grain and low postprandial insulin response grain products, fatty fish three times a week, and bilberries three portions per day (HealthyDiet group), (2) Whole grain enriched diet (WGED) group, which includes principally the same grain products as group (1), but with no change in fish or berry consumption, and (3) refined wheat breads (Control). Oral glucose tolerance, plasma fatty acids and lipidomic profiles were measured before and after the intervention. Self-reported compliance with the diets was good and the body weight remained constant. Within the HealthyDiet group two hour glucose concentration and area-under-the-curve for glucose decreased and plasma proportion of (n-3) long-chain PUFAs increased (False Discovery Rate p-values <0.05). Increases in eicosapentaenoic acid and docosahexaenoic acid associated curvilinearly with the improved insulin secretion and glucose disposal. Among the 364 characterized lipids, 25 changed significantly in the HealthyDiet group, including multiple triglycerides incorporating the long chain (n-3) PUFA. + +Conclusions/significance: The results suggest that the diet rich in whole grain and low insulin response grain products, bilberries, and fatty fish improve glucose metabolism and alter the lipidomic profile. Therefore, such a diet may have a beneficial effect in the efforts to prevent type 2 diabetes in high risk persons. + +Trial registration: ClinicalTrials.gov NCT00573781." +,testCohort1,https://doi.org/10.1002/ijc.32791,false,Effectiveness of AS04-adjuvanted human papillomavirus (HPV) type 16/18 vaccine in reducing oropharyngeal HPV infections in young females – results from a community-randomized tria,"Lehtinen M,Apter D,Eriksson T,Harjula K,Hokkanen M,Lehtinen T,Natunen K,Damaso S,Soila M,Bi D,Struyf F,"",""",2020.0,Int J Cancer,,,,,, +,testCohort2,https://doi.org/10.2337/dc21-2662,false,test publication 2,,,,,,,,, +,testCohort2,https://doi.org/10.1186/s12916-023-02769-y,false,test publication 3,,,,,,,,, +,testNetwork1,https://doi.org/10.1136/bmjopen-2017-015867,false,Ten-year follow-up of human papillomavirus vaccine efficacy against the most stringent cervical neoplasia end-point-registry-based follow-up of three cohorts from randomized trial,"Lehtinen M,Lagheden C,Luostarinen T,Eriksson T,Apter D,Harjula K,Kuortti M,Natunen K,Palmroth J,Petäjä T,Pukkala E,Siitari-Mattila M,Struyf F,Nieminen P,Paavonen J,Dubin G,Dillner",2017.0,BMJ Open,,,,,, diff --git a/data/_demodata/applications/datacatalogue/Subcohort counts.csv b/data/_demodata/applications/datacatalogue/Collection subcohort counts.csv similarity index 91% rename from data/_demodata/applications/datacatalogue/Subcohort counts.csv rename to data/_demodata/applications/datacatalogue/Collection subcohort counts.csv index 294f7ce4eb..5c40cc6e62 100644 --- a/data/_demodata/applications/datacatalogue/Subcohort counts.csv +++ b/data/_demodata/applications/datacatalogue/Collection subcohort counts.csv @@ -1,4 +1,4 @@ -subcohort.resource,subcohort.name,age group,N total,N female,N male +population.collection,population.name,age group,N total,N female,N male ALSPAC,Mothers,Adult (18+ years),20,8,12 ALSPAC,Partners,Adult (18+ years),100,, ALSPAC,Children,Child (2-12 years),524,299,225 diff --git a/data/_demodata/applications/datacatalogue/Subcohorts.csv b/data/_demodata/applications/datacatalogue/Collection subcohorts.csv similarity index 99% rename from data/_demodata/applications/datacatalogue/Subcohorts.csv rename to data/_demodata/applications/datacatalogue/Collection subcohorts.csv index 878a5ab2a5..216bfe54c6 100644 --- a/data/_demodata/applications/datacatalogue/Subcohorts.csv +++ b/data/_demodata/applications/datacatalogue/Collection subcohorts.csv @@ -1,4 +1,4 @@ -resource,name,description,number of participants,inclusion start,inclusion end,age groups,main medical condition,comorbidity,countries,regions,inclusion criteria,supplementary information +collection,name,description,number of participants,inclusion start,inclusion end,age groups,main medical condition,comorbidity,countries,regions,inclusion criteria,supplementary information FORCE-NEN collections,AvL,,,,,,,,,,, FORCE-NEN collections,EMC,,,,,,,,,,, FORCE-NEN collections,Amsterdam UMC,,,,,,,,,,, diff --git a/data/_demodata/applications/datacatalogue/Collection variables.csv b/data/_demodata/applications/datacatalogue/Collection variables.csv new file mode 100644 index 0000000000..dac77e7a30 --- /dev/null +++ b/data/_demodata/applications/datacatalogue/Collection variables.csv @@ -0,0 +1,1003 @@ +collection,variable.collection,variable.dataset,variable.name +LifeCycle,LifeCycle,core,na_pgn +LifeCycle,LifeCycle,outcome,adhdR_ +LifeCycle,LifeCycle,outcome,adhdR_eval_ +LifeCycle,LifeCycle,outcome,adipo_cord +LifeCycle,LifeCycle,core,SCL_dep_score_t +LifeCycle,LifeCycle,core,agebirth_m_d +LifeCycle,LifeCycle,core,agrgr_preg +LifeCycle,LifeCycle,core,art +LifeCycle,LifeCycle,core,agrgr_t +LifeCycle,LifeCycle,core,airpt_preg +LifeCycle,LifeCycle,core,airpt_t +LifeCycle,LifeCycle,outcome,all_ +LifeCycle,LifeCycle,outcome,allergy_any_m +LifeCycle,LifeCycle,outcome,allergy_food_m +LifeCycle,LifeCycle,outcome,all_ever +LifeCycle,LifeCycle,outcome,anaphylaxis +LifeCycle,LifeCycle,outcome,asd_avg_ +LifeCycle,LifeCycle,core,an_m_ +LifeCycle,LifeCycle,core,areases_quint_ +LifeCycle,LifeCycle,core,areases_quint_preg +LifeCycle,LifeCycle,core,areases_quint_t +LifeCycle,LifeCycle,core,areases_tert_ +LifeCycle,LifeCycle,core,areases_tert_preg +LifeCycle,LifeCycle,core,areases_tert_t +LifeCycle,LifeCycle,outcome,asd_age_ +LifeCycle,LifeCycle,outcome,asd_eval_ +LifeCycle,LifeCycle,outcome,asd_instr_ +LifeCycle,LifeCycle,outcome,asd_pc_ +LifeCycle,LifeCycle,outcome,asd_pro_ +LifeCycle,LifeCycle,outcome,asdR_ +LifeCycle,LifeCycle,outcome,asdR_age_ +LifeCycle,LifeCycle,outcome,asd_raw_ +LifeCycle,LifeCycle,outcome,asdR_eval_ +LifeCycle,LifeCycle,outcome,asthma_ +LifeCycle,LifeCycle,outcome,Asthma_adult +LifeCycle,LifeCycle,core,asthma_adult +LifeCycle,LifeCycle,core,blue_dist_ +LifeCycle,LifeCycle,core,asthma_bf +LifeCycle,LifeCycle,outcome,asthma_current_MeDALL_ +LifeCycle,LifeCycle,outcome,asthma_current_ISAAC +LifeCycle,LifeCycle,outcome,asthma_ever_CHICOS 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+LifeCycle,LifeCycle,outcome,adipomes_ +LifeCycle,LifeCycle,core,nffish_sch +LifeCycle,LifeCycle,core,reledu_mo +LifeCycle,LifeCycle,core,uvdec_t +LifeCycle,LifeCycle,core,weight_age +LifeCycle,LifeCycle,core,na_sch +LifeCycle,LifeCycle,outcome,nvi_std_ +LifeCycle,LifeCycle,core,miggen_child +LifeCycle,LifeCycle,core,prepreg_dia +LifeCycle,LifeCycle,core,procmeat_pgn +LifeCycle,LifeCycle,core,reledu_fa +LifeCycle,LifeCycle,core,sleeptage_psc +LifeCycle,LifeCycle,outcome,wm_pc_ +LifeCycle,LifeCycle,outcome,allergy_inh_m +LifeCycle,LifeCycle,core,folic_post +LifeCycle,LifeCycle,core,foodenvdens300_t +LifeCycle,LifeCycle,outcome,gm_pro_ +LifeCycle,LifeCycle,outcome,int_instr_ +LifeCycle,LifeCycle,outcome,lan_avg_ +LifeCycle,LifeCycle,outcome,gm_raw_ +LifeCycle,LifeCycle,core,hdres_preg +LifeCycle,LifeCycle,outcome,FeNO_ +LifeCycle,LifeCycle,outcome,fm_std_ +LifeCycle,LifeCycle,outcome,FVC_abs_ +LifeCycle,LifeCycle,core,outdoorp_psc +LifeCycle,LifeCycle,outcome,wm_std_ +LifeCycle,LifeCycle,outcome,ext_age_ +LifeCycle,LifeCycle,outcome,haem_cord +LifeCycle,LifeCycle,core,lden_ +LifeCycle,LifeCycle,outcome,nvi_instr_ +LifeCycle,LifeCycle,core,preg_fever +LifeCycle,LifeCycle,core,ethn3_m +LifeCycle,LifeCycle,core,apgar +LifeCycle,LifeCycle,core,breastfed_ever +LifeCycle,LifeCycle,core,fdensity300_t +LifeCycle,LifeCycle,core,SAI_score_t +LifeCycle,LifeCycle,core,SCL_total_score_t +LifeCycle,LifeCycle,core,SCL_anx_score_t +LifeCycle,LifeCycle,outcome,adhd_instr_ +LifeCycle,LifeCycle,outcome,adhd_pc_ +LifeCycle,LifeCycle,outcome,adhd_pro_ +testNetwork1,LifeCycle,core,ga_lmp diff --git a/data/_demodata/applications/datacatalogue/Collections.csv b/data/_demodata/applications/datacatalogue/Collections.csv new file mode 100644 index 0000000000..6c0d5bc93b --- /dev/null +++ b/data/_demodata/applications/datacatalogue/Collections.csv @@ -0,0 +1,255 @@ +id,pid,acronym,name,local name,keywords,website,lead organisation,additional organisations,description,contact email,cohort type,cohort type other,design,design description,design schematic,design schematic_filename,data collection type,logo,logo_filename,number of participants,number of participants with samples,countries,regions,population age groups,inclusion criteria,other inclusion criteria,start year,end year,population disease,population oncology topology,population oncology morphology,prelinked,linkage possibility description,release type,release description,linkage options,data holder,data access conditions,data use conditions,data access conditions description,data access fee,design paper,publications,informed consent type,funding statement,acknowledgements,supplementary information,type,network type,features,data sources,databanks,cohorts,models,networks,collections,study type other,status,funding scheme,networks other,study requirements,regulatory procedure number,date of signing funding contract planned,date of signing funding contract actual,collection start planned,collection start actual,analysis start planned,analysis start actual,interim report planned,interim report actual,final report planned,final report actual,data sources other,databanks other,study features,data characterisation details,data source types,data source types other,quality marks,number of data sources,medicines studied INN codes,medicines studied ATC codes,medicines studies brands,medicines studied other,medical conditions studied,medical conditions studied other,data extraction date,study setting,analysis plan,population description,objectives,interventions,comparators,outcomes,study design,results,topic,topic other,trial regulatory scope,clinical study type,study design classification other,study scope,study scope other,population of interest,population of interest other,RWD type,RWD type other,data collection description,date established,start data collection,end data collection,time span description,underlying population,population entry,population entry other,population exit,population exit other,population coverage,population not covered,areas of information rwd,quality of life other,cause of death code other,indication vocabulary other,genetic data vocabulary other,care setting other,medicinal product vocabulary other,prescriptions vocabulary other,dispensings vocabulary other,procedures vocabulary other,biomarker data vocabulary other,diagnosis medical event vocabulary other,data dictionary available,disease details,disease details other,biospecimen collected,languages,record trigger,unit of observation,multiple entries,has identifier,identifier description,linkage description,linkage possibility,reason sustained,informed consent,informed consent other,access identifiable data,access identifiable data route,access subject details,access subject details route,audit possible,access third party,access third party conditions,access non EU,access non EU conditions,standard operating procedures,biospecimen access,biospecimen access conditions,governance details,approval for publication,refresh,lag time,preservation,preservation duration,refresh period,date last refresh,qualification,qualifications description,number of records,completeness,completeness over time,completeness results,quality description,quality over time,access for validation,quality validation frequency,quality validation methods,correction methods,quality validation results,cdms other,ETL standard vocabularies,ETL standard vocabularies other,funding sources,release frequency +CONSTANCES,,CONSTANCES,Cohorte des Consultants des Centres d’Examens,,,https://www.constances.fr/,INSERM,,,,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,220000,,France,,Adult (18+ years),,,2012,2019,,,,,,,,,,,,,,https://doi.org/10.1007/s10654-015-0096-4,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +G21,,,Generation 21,Geraç,,http://www.geracao21.com/pt/,ISPUP,,,,Birth cohort,,Longitudinal,,,,,,,8647,,Portugal,,"Newborn (0-1 months),Child (2-12 years),Adolescent (13-17 years)",,,2005,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +mCRC-VHIO,,mCRC-VHIO,metastatic Colorrectar Cancer - VHIO,,,,VHIO,,,xvillalobos@vhio.net,Clinical cohort,,Cross-sectional,,,,Retrospective,,,116,,,,,,,,,,,,,,,,,,disease specific research,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +FORCE-NEN,,FORCE-NEN,InFrastructure fOr Rare Cancers in the nEtherlands – Neuroendocrine Neo,,,https://www.ikdoemeemetforce.nl/,"UMCU,UMCG","MUMC,NKI,AmsterdamUMC (VUmc),EMC,Maxima MC",Multicenter Clinical Biobank with primary object to determine the value of ctDNA in the diagnosis and treatment of Neuroendocrine Neoplasms.,force-nen@umcutrecht.nl,"Clinical cohort,Biobank",,Longitudinal,,,,"Retrospective,Prospective",,,,,Netherlands (the),,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",,,2022,,,,,,,Closed dataset,,,UMCU,disease specific research,"collaboration required,ethics approval required,project specific restriction",,,,,,FORCE is made possible by a grant from the KWF Dutch Cancer Society (13363),,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +FORCE-NEN collections,,,FORCE-NEN collections,,,https://www.ikdoemeemetforce.nl/,"UMCU,UMCG","MUMC,NKI,AmsterdamUMC (VUmc),EMC,Maxima MC",,,Biobank,,Longitudinal,,,,Retrospective,,,,,Netherlands (the),,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",,,2022,,,,,,,Closed dataset,,,UMCU,disease specific research,"collaboration required,ethics approval required,project specific restriction",,,,,,FORCE is made possible by a grant from the KWF Dutch Cancer Society (13363),,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +CON,CON,CON,Consumer cohort,CON,"consumer, supermarket, data epidemiology, cohort",https://mineindkob.dk/,SSI,,"This project aims to investigate how what we buy, and thus our diet, affects health, by analyzing purchase patterns and health information over time.","frtm@ssi.dk, mineindkob@ssi.dk","Population cohort,Registry",,Longitudinal,,,,"Retrospective,Prospective",,,407,407,Denmark,,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (80+ years)",,,2021,,,,,,,Other release type,on request,"GS1 data, FRIDA data",,,,,,,,,Through the project HEAP: https://heap-exposome.eu/ grant agreement No. 874662,,Full consent can be found at https://www.mineindkob.dk/da-DK/registration#1,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +CSC,CSC,CSC,Cervical screening cohort,,"cancer, CIN, LSIL, HSIL, cytology, pathology, invitations, HPV, cervical cancer",https://nkcx.se,KI,,Cervical screening cohort comprising all women resident in Sweden aged 23-64 that are screened for human papillomavirus or cervical abnormalities.,joakim.dillner@ki.se; info@nkcx.se,"Population cohort,Registry,Biobank",,Longitudinal,,,,"Retrospective,Prospective",,,500000,500000,Sweden,,"Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65-79 years)",,,1968,,,,,,,Annually,new data from past year is imported annualy in April online,"NKCx, biobank, laboratory experiments (sequencing)",,,,"For research purposes data can be provided pseudonomized, providing there is i) an approved ethical application, ii) an approved application for data (which is to be submitted to the registry)",,,,,SKR (Swedish Municipalities and Regions) funds partly for NKCx.,"It is required to name the data source for instance in the materials and methods section as ""Swedish National Cervical Screening Registry (NKCx)""",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +HPV,,HPV,HPV vaccination cohort,,"Community randomized, HPV vaccination, gender-neutral",https://projects.tuni.fi/hpv-rokotiitus/,TUNI,,"Community-randomized HPV vaccination trial cohort: gender-neutral HPV16/18 vaccination arm, girls-only HPV16/18 vaccination and hepatitis B-virus (HBV) vaccination of boys arm, and arm gender-neutral HBV vaccination arm. Total of boys (31,117) and girls (30,139), 9482 (60,7 %) were HPV vaccinated and 6131 (39,3 %) were HBV vaccinated at the age of 14 and followed up at he age of 18, 22, 25 and 28.","tiina.eriksson@tuni.fi, ville.pimenoff@ki.se, karolina.louvanto@tuni.fi, matti.lehtinen@tuni.fi",Clinical trial,,Longitudinal,,,,Prospective,,,61256,15613,Finland,,"Adolescent (13-17 years),Young adult (18-24 years),Adult (25-44 years)",,,2007,,,,,,,Other release type,not determined; new data still created,,,,,,,,,,"A total of more than 40 million euros of grants by Prof. Matti Lehtinen from Finnish and Nordic Cancer Cociety, Finnish Academy, EU FP5 prgram, FP6 program, FP7 program, Merck&Co, GlaxoSmithKline Biologicals, IMI, Swedish Cancerfonden, Jane and aatos Erkko Foundation, EU Horizon and Finnish Cancer Society.",Original articles and data owners need to be cited.,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +LSC,LSC,LSC,Lifestyle cohort,TirolGESUND,intermittent fasting; smoking cessation; DNA methylation; prevention;,https://www.uibk.ac.at/,UIBK,,"Data from 6-month intervention trial looking at the effects of intermittent fasting or smoking cessation in healthy women aged 30-60 with risk factors for cancer or other diseases (elevanted BMI, heavy smoking).",martin.widschwendter@uibk.ac.at,"Population cohort,Clinical trial",,Longitudinal,,,,Prospective,,,156,156,Austria,,"Adult (25-44 years),Middle-aged (45-64 years)",,,2021,,,,,,,Other release type,"Data will be embargoed until initial publication of the study results. Personally identifiable data will be under restricted access, controlled by a data access committee. A data access form will need to be filled in providing data use. Use of data is for scientific purposes only and a cooperation agreement has to be signed for use.",,,,,"Data will be embargoed until initial publication of the study results. Personally identifiable data will be under restricted access, controlled by a data access committee. A data access form will need to be filled in providing data use. Use of data is for scientific purposes only and a cooperation agreement has to be signed for use.",,,,,"This study received funding by the European Union’s Horizon 2020 Research and Innovation Program, HEAP under grant agreement No. 874662 and the Land","Any users must acknowledge Prof. Martin Widschwendter, Dr Chiara Herzog, and the EUTOPS Institute and cite the relevant key publications out of the project.",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +BAMSE,,,BAMSE,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +HBCS,,HBCS,Helsinki Birth Cohort Study,,,https://thl.fi/en/web/thlfi-en/research-and-expertwork/projects-and-programmes/helsinki-birth-cohort-study-hbcs-idefix,,,,,Birth cohort,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +MAT,MAT,MAT,Maternity cohort,MAT,"Biobank, maternity cohort, serum",https://www.ppshp.fi/Tutkimus-ja-opetus/Biopankki/Pages/default.aspx,,,"The Finnish Maternity Cohort (FMC) in Northern Finland Biobank Borealis is a collection of serum samples comprising virtually the entire population of Finnish females, who have been pregnant since 1983. FMC is linkable with population-based health registers including the Finnish Cancer Registry and the Medical Birth Register. Linkage of FMC data and samples with pathological archives of Finnish Biobanks provides an opportunity to expand the scope of research into interaction of biological and genomic factors in association with various diseases. Serial prediagnostic serum samples and comprehensive data accessible over three generations provide possibilities for unique study settings.","hanna.ohman@ppshp.fi, ville.pimenoff@oulu.fi, helja-marja.surcel@oulu.fi",Biobank,,Longitudinal,,,,Retrospective,,,950000,950000,Finland,,"Adolescent (13-17 years),Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (80+ years)",,,1983,2017,,,,,,Closed dataset,,FMC is linkable with population-based health registers including the Finnish Cancer Registry and the Medical Birth Register. Linkage of FMC data and samples with pathological archives of Finnish Biobanks provides an opportunity to expand the scope of research into interaction of biological and genomic factors in association with various diseases.,,,,,,https://doi.org/10.1002/cam4.1222,https://doi.org/10.1002/cam4.1222,,European Science Infrastructure Services (https://esis.fi/),European Science Infrastructure Services (https://esis.fi/),European Science Infrastructure Services (https://esis.fi/),Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +WDC,WDC,WDC,Wearable data collection study,WDC,"wearables, exposome, pregnancy, environmental exposure",,,"UOULU,KI,TUNI","Longitudinal cohort of pregnant and non-pregnant women for exposome estimation from blood, saliva, sweat and personal aerosols.","ville.pimenoff@oulu.fi, ville.pimenoff@ki.se, matti.lehtinen@tuni.fi",Population cohort,,Longitudinal,Longitudinal,,,Prospective,,,100,100,Finland,,Adult (25-44 years),,,2022,2022,,,,,,Closed dataset,,,,,,,,https://doi.org/10.1097/EE9.0000000000000182,https://doi.org/10.1097/EE9.0000000000000182,,Horizon 2020 (HEAP),Contributors need to be cited.,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +EDEN,,EDEN,Study on the pre and early postnatal determinants of child health and development,,,http://eden.vjf.inserm.fr/en/,INSERM,,"The EDEN study is a French bicentric generalist cohort study (Heude et al. IJE 2016). Pregnant women were invited to participate during their prenatal visit, before the 24th week of amenorrhea, in the obstetrics and gynecology departments of the Poitiers and Nancy university hospitals. Recruitment took place from February 2003 to January 2006. The exclusion criteria were: twin pregnancy, diagnosis of insulin-dependent diabetes, inability to speak and read French, intention to move from the region within three years of inclusion . Among the women invited, 53% agreed to participate (n = 2,002). Detailed information on phenotypes and exposures were collected through questionnaires from pregnancy until 8 years and through clinical examinations of the mother (at 24 weeks of amenorrhoea, at delivery and 5–6 years after delivery) and the child (at birth and 1, 3 and 5–6 years, including cognitive assessments at 3 and 5–6 years). At 5–6 years, 1255 children",,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,2002,,,,,,,2003,2006,,,,,,Continuous,,,,health or medical or biomedical research,,"- Submission of the project proposal to the cohort PI (Barbara Heude) +- Approval of the project by the EDEN steering committee (takes 1 month) +​- Signature of a data access agreement (DAA) +- Data made available for analysis by the data manager (credentials will be sent to the person requesting access to the",,https://doi.org/10.1093/ije/dyv151,,,"The study relied on many different sources of funding including Inserm, University Paris 11, the French Medical Research Foundation and the National Research Agency and also from national and European programs and project grants. A more comprehensive list of funders can be found on the EDEN website, along with other information","The authors are extremely grateful to all the families who took part in this study, the midwives and psychologists for recruiting and following +them, and the whole EDEN team, including research scientists, engineers, technicians and managers.",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +PELAGIE,,PELAGIE,"Perturbateurs Endocriniens: Étude Longitudinale sur les Anomalies de la Grossesse, l’Infertilit","Perturbateurs Endocriniens: Étude Longitudinale sur les Anomalies de la Grossesse, l’Infertilit",Pregnancy; Child; environment; growth; development; neurodevelopment; pesticides; solvant; occupation,http://www.pelagie-inserm.fr/,INSERM,,"The PELAGIE mother-child cohort was set up with the aim to study the effect of prenatal exposure to environmental and occupational chemicals on reproduction and child development. The PELAGIE cohort enrolled 3421 pregnant women from Brittany, France between 2002 and 2006. Offsprings were followed at delivery (n=3439) and at 2 (n=1506), 6 (n=1406) and 12 (n=1211) years old. Almost all women provided a urine samples at inclusion. Cord blood samples, maternal hair samples and pieces of placenta were collected for 55%, 60%, and 57% of the participants, respectively. A subgroup of 287 and 559 children performed a more in-depth follow-up including a clinical examination and biological sample collection at age 6 and 12 years old, respectively.",,Population cohort,,Longitudinal,,,,Prospective,,,3421,3400,France,Bretagne,"Prenatal,Newborn (0-1 months),Child (2-12 years)",,,2002,2006,,,,,,,Once a follow-up is completed and data have been processed.,No,,,,Send a first request to Cécile Chevrier (cecile.chevrier@inserm.,,,"https://doi.org/10.1289/ehp.1002775,https://doi.org/10.1186/1476-069X-12-102,https://doi.org/10.1016/j.envint.2015.05.009",,"Depends on the data used (birth, 2, 6, 12 years old). Main funders includes: Inserm, Institut national de Veille Sanitaire, Ministère du travail, Ministère de la recherche, Agence Nationale de la Recherche, Afsset/Anses, DRASS de Bretagne, EU commission, Programme 189 Post Grenelle, Fondation de","We are grateful to the midwives, obstetricians, gynecologists, sonographers, pediatricians, and families who participated in the study.",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +BIB,,BIB,Born in Bradford,,Multicultural,https://borninbradford.nhs.uk/,BRI,,"Born in Bradford (BiB) started in 2007 as a response to the poor health outcomes for children in Bradford. Pregnant women were recruited when they attended the Bradford Royal Infirmary for their routine maternity care. Participants were asked to complete a questionnaire about different aspects of their lives including demographics information, physical and mental health and socio-economic information. + +Between 2007 and 2011, 12,453 pregnant women were recruited and 3,353 of their partners. Participants also gave permission for routine data linkage for themselves and their children. The BiB cohort is split between approximately 50% South Asian and 50% non-South Asian participants. + +BiB has completed a number of sub-sample studies including BiB1000, which focused on exploring ethnic variation and risk factors of childhood obesity. Data collection included questionnaires with parents when the children were between 6 and 36 months at 6 monthly intervals.The ALLIN and MeDALL studies focused on the relationships between childhood allergies and infections. Data collection for these studies were done via a questionnaire and, for the MeDALL study, children were asked to have a skin allergy test. + +Since 2016, BiB have undertaken a full cohort follow-up compromising of home visits for data collection through questionnaires, school visits where children carried out cognitive assessments, and a child measurement programme where children were weighed and measured, had their activity levels measured, and were asked to give a blood sample. + +From the findings of these studies, BiB have developed a range of additional research projects such as evaluating and developing new interventions to improve health; for example, focusing on reducing childhood obesity, increasing physical activity, improving oral health and improving mental wellbeing. BiB have gone beyond functioning as an observational birth cohort and are actively trying to build and strengthen local research capacity and translate evidence to practice.",,Birth cohort,,Longitudinal,,,,"Retrospective,Prospective",,,12453,,,Bradford,,,,2007,,,,,,,Closed dataset,,No,,general research use,return to database or resource,"Born in Bradford allows researchers to apply to access the study data through the BiB Executive Group. Researchers need to submit an EOI form to borninbradford@bthft.nhs.uk and the EOI will be reviewed at the monthly BiB Exec. + +Information about the different data sets are available here: https://borninbradford.nhs.uk/research/documents-data/ + +More information about how to access BiB data can be found here: https://borninbradford.nhs.uk/research/how-to-access-data/",,https://doi.org/10.1093/ije/dys112,"https://doi.org/10.14301/llcs.v4i2.221,https://doi.org/10.1186/s12889-019-7222-2,https://doi.org/10.1186/1471-2458-8-327",,"BiB receives core infrastructure funding from the Wellcome Trust (WT101597MA) and the National Institute for Health Research (NIHR) under its Applied Research Collaboration Yorkshire and Humber [NIHR200166]. Further support for genome-wide and multiple ‘omics measurements is from the UK Medical Research Council (G0600705), National Institute of Health Research (NF-SI-0611-10196), US National Institute of Health (R01 DK10324), and the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007–2013) / ERC grant agreement no 669545. The recent follow-up of BiB participants was funded by a joint grant from the UK Medical Research Council and UK Economic and Social Science Research Council (MR/N024397/1) and a grant from the British Heart Foundatio","Born in Bradford is only possible because of the enthusiasm and commitment of the children and parents in BiB. We are grateful to all the participants, health professionals, schools and researchers who have made Born in Bradford happen.",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +GenR,,GenR,The Generation R Study,,multi ethnic population-based prospective cohort study from fetal life onwards,https://generationr.nl/,EMC,,"The Generation R Study is a population-based prospective cohort study from fetal life until adulthood and is conducted in Rotterdam, the second largest city in the Netherlands. The study is designed to identify early environmental and genetic causes and causal pathways leading to normal and abnormal growth, development and health from fetal life, childhood and young adulthood. This multidisciplinary study focuses on several health outcomes including behaviour and cognition, body composition, eye development, growth, hearing, heart and vascular development, infectious disease and immunity, oral health and facial growth, respiratory health, allergy and skin disorders of children and their parents. Main exposures of interest include environmental, endocrine, genomic (genetic, epigenetic, microbiome), lifestyle related, nutritional and socio-demographic determinants. + +The Generation R study enrolled 9,153 mothers with a delivery date from April 2002 until January 2006, who participated with a total of 9,778 pregnancies in the study from which 9,901 children were expected to be born; the mothers gave birth to 9,749 live born children.",mariekewelten@gmail.com,"Population cohort,Birth cohort",,Longitudinal,"The design of Generation R has been described in detail previously, the following information was extracted from the most recent paper on design and cohort update 2017 (https://doi.org/10.1007/s10654-016-0224-9): + The Generation R Study is a population-based prospective cohort study from fetal life until adulthood and is conducted in Rotterdam, the second largest city in the Netherlands. The study is designed to identify early environmental and genetic causes and causal pathways leading to normal and abnormal growth, development and health from fetal life, childhood and young adulthood. This multidisciplinary study focuses on several health outcomes including behaviour and cognition, body composition, eye development, growth, hearing, heart and vascular development, infectious disease and immunity, oral health and facial growth, respiratory health, allergy and skin disorders of children and their parents. Main exposures of interest include environmental, endocrine, genomic (genetic, epigenetic, microbiome), lifestyle related, nutritional and socio-demographic determinants. + + Pregnant women with an expected delivery date between April 2002 and January 2006 living in Rotterdam were eligible for participation in the study. In total, 9778 mothers were enrolled in the study, who gave birth to 9749 live born children. Extensive assessments are performed in mothers, fathers and their children. Measurements were planned in early pregnancy (gestational age <18 weeks), mid pregnancy (gestational age 18–25 weeks) and late pregnancy (gestational age >25 weeks). The fathers were assessed once during the pregnancy of their partner. The children form a prenatally recruited birth cohort that will be followed at least until young adulthood. In the preschool period, which in the Netherlands refers to the period from birth until the age of 4 years, data collection was performed by a home-visit at the age of 3 months, and by repeated questionnaires and routine child health centers visits. Information from these routine visitobtained and used for the study. Additional detailed measurements of fetal and postnatal growth and development were conducted in a randomly selected subgroup of Dutch children and their parents at a gestational age of 32 weeks and postnatally at the ages of 1.5, 6, 14, 24, 36 and 48 months in a dedicated research center. + +Around the ages of 6 and 10 years all children and their parents were invited to visit our research center in the Erasmus MC-Sophia Children’s Hospital to participate in hands-on measurements, advanced imaging modalities, behavioural observations and biological sample collection. MRI scans of all participating children were made in order to image abdominal composition, brain, lungs, cardiovascular system, fat tissue, kidney, liver, and hip development. Furthermore, the parents received 6 questionnaires during this period. Children also received their own questionnaire around the age of 10. Information from municipal health services, schools and general practicionars has also been cleedResponse at baseline was 61%, and general follow-up rates until the age of 10 years were around 80%.",,,"Retrospective,Prospective",,,9901,,Netherlands (the),Rotterdam,"Prenatal,Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years)",,,2001,,,,,,,Periodically,"Upon completion of follow-up, data will be cleaned for usage by the Generation R study group and then harmonized and uploaded for ECCN availability.",,,,"""not for profit, non commercial use only""","1. LifeCycle Project Research proposal has been discussed in the WP and distributed to all LifeCycle Project cohorts +2. The lead researcher sends a request to Generation R contact (primary contact for internal discussion: LifeCycle Project manager lifecycle@erasmusmc.nl). If it concerns another proposal than a LifeCycle proposal please state this. +3. The proposal is discussed in the Generation R Management Team by the involved Generation R PI +4. The involved PI notifies the lead researcher and the LifeCycle project manager of the MT outcome, with lifecycle@erasmusmc.nl in the cc. +5. In case of approval, the LifeCycle project manager will send the researcher the Generation R Data Use Agreement (DUA) or Data transfer agreement (DTA). +6. If adaptations to the DUA are requested, the LifeCycle project manager forwards the DUA to Janine Felix who will liaise with the legal team if needed; once an agreement has been reached, the completed DUA is sent to the LifeCycle project manager +7. Lead researcher returns the DUA to lifecycle@erasmusmc.nl once completed +8. The LifeCycle project manager completes the DUA: checks the DUA and has it signed by Vincent +9. The project manager finalizes the Data Access Process: + - creates the Opal-views + - emails the researcher the fully signed DUA, and the Opal-login details to access the data + - Informs Generation R contact that data access has been granted",,https://doi.org/10.1007/s10654-006-9022-0,"https://doi.org/10.1007/s10654-010-9516-7,https://doi.org/10.1007/s10654-006-9022-0,https://doi.org/10.1111/j.1365-3016.2003.00521.x,https://doi.org/10.1007/s10654-007-9209-z,https://doi.org/10.1007/s10654-008-9309-4,https://doi.org/10.1007/s10654-012-9735-1,https://doi.org/10.1007/s10654-014-9980-6,https://doi.org/10.1007/s10654-016-0224-9,https://doi.org/10.1007/s10654-013-9768-0",,"The general design of the Generation R Study is made possible by financial support from the Erasmus + MC, University Medical Center, Rotterdam, Erasmus University Rotterdam, Netherlands + Organization for Health Research and Development (ZonMw), Netherlands Organisation for + Scientific Research (NWO), Ministry of Health, Welfare and Sport and Ministry of Youth and + Families. This project received funding from the European Union's Horizon 2020 research and innovation programme (LIFECYCLE, grant agreement No 733206, 2016; EUCAN-Connect grant agreement No 824989; ATHLETE, grant agreement No 874583). VJ received funding from a Consolidator Grant from the European Research Council (ERC-2014-CoG-648916).","The authors gratefully acknowledge the contribution of participants, research collaborators, general practitioners, hospitals, midwives, and pharmacies in Rotterdam.",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +GenR Next,,GenR Next,Generation R Next,,population-based prospective cohort study from preconception onwards,https://generationr.nl/next,EMC,,"The Generation R Next Study is a population-based cohort study from preconception onwards. In total, about 3600 women are being included in the period 2017-2021. Of all included couples, about 30% is included during the preconception, about 60% during the first trimester of pregnancy and about 10% in the third trimester of pregnancy.",v.jaddoe@erasmusmc.nl,"Population cohort,Birth cohort",,Longitudinal,"The Generation R Next Study is a population-based cohort study from preconception onwards. In total, about 3600 women are being included in the period 2017-2021. Of all included couples, about 30% is included during the preconception, about 60% during the first trimester of pregnancy and about 10% in the third trimester of pregnancy. +Preconception recruitment is performed via social media, door-to-door mailings, mouth-to-mouth, and healthcare professionals. +Measurements in the parents-to-be include physical examinations, questionnaires (lifestyle, diet) and biological samples at preconception, and 6 to 13 weeks pregnancy, as well as 30 weeks of pregnancy. The data collection includes innovative embryonic/fetal and placental assessments by repeated ultrasounds at around 6, 9, 12 and 30 weeks. +Early childhood follow-up consisted of questionnaires at 1 month, 6 months and 12 months of age. A subgroup of children and their mothers was invited for measurements at the research center at ages 1 month, 6 months and 12 months.",,,"Retrospective,Prospective",,,3604,,Netherlands (the),Rotterdam,"Prenatal,Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years)",,,2017,,,,,,,Periodically,"Upon completion of follow-up, data will be cleaned for usage by the Generation R study group and then harmonized and uploaded for ECCN availability.",,,,"""not for profit, non commercial use only""","Data access conditions: +1. LifeCycle Project Research proposal has been discussed in the WP and distributed to all LifeCycle Project cohorts +2. The lead researcher sends a request to Generation R contact (primary contact for internal discussion: LifeCycle Project manager lifecycle@erasmusmc.nl). If it concerns another proposal than a LifeCycle proposal please state this. +3. The proposal is discussed in the Generation R Management Team by the involved Generation R PI +4. The involved PI notifies the lead researcher and the LifeCycle project manager of the MT outcome, with lifecycle@erasmusmc.nl in the cc. +5. In case of approval, the LifeCycle project manager will send the researcher the Generation R Data Use Agreement (DUA) or Data transfer agreement (DTA). +6. If adaptations to the DUA are requested, the LifeCycle project manager forwards the DUA to Janine Felix who will liaise with the legal team if needed; once an agreement has been reached, the completed DUA is sent to the LifeCycle project manager +7. Lead researcher returns the DUA to lifecycle@erasmusmc.nl once completed +8. The LifeCycle project manager completes the DUA: checks the DUA and has it signed by Vincent +9. The project manager finalizes the Data Access Process: + - creates the Opal-views + - emails the researcher the fully signed DUA, and the Opal-login details to access the data + - Informs Generation R contact that data access has been granted",,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +Sepages,,SEPAGES,Suivi de l'Exposition à la Pollution Atmosphérique et Effet sur la,Suivi de l'Exposition à la Pollution Atmosphérique et Effet sur la,"Novel tools for integrating early-life environmental exposures and child health, biomarkers",https://cohorte-sepages.fr/en,INSERM,,"(1) characterize finely environmental exposures during pregnancy and early life ; (2) evaluate the impact of the environment on mother-child health, focusing on three main outcomes: growth, respiratory health and neurodevelopment; (3) explore possible underlying biological pathways, focusing on those mediated by epigenetic marks, immunologic and hormonal parameters and by the gut microbiota.",,Population cohort,,Longitudinal,,,,Prospective,,,484,480,France,Auvergne-Rhône-Alpes,"Prenatal,Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years)",,,2014,,,,,,,Annually,,No,,,project specific restriction,Send a first request to Sarah Lyon-Caen (sarah.lyon-caen@univ-grenoble-alpes.fr),,https://doi.org/10.3390/ijerph16203888,"https://doi.org/10.1016/j.envpol.2021.117650,https://doi.org/10.1016/j.envint.2020.105678,https://doi.org/10.1016/j.envint.2021.106697,https://doi.org/10.3390/ijerph16203888",,"The SEPAGES cohort was supported by the European Research Council (N°311765-E-DOHaD), the European Community’s Seventh Framework Programme (FP7/2007-206 - N°308333-892 HELIX), the European Union’s Horizon 2020 research and innovation programme (N° 874583 ATHLETE Project, N°825712 OBERON Project), the French Research Agency - ANR (PAPER project ANR-12-PDOC-0029-01, SHALCOH project ANR-14-CE21-0007, ANR-15-IDEX-02 and ANR-15-IDEX5, GUMME project ANR-18-CE36-005, ETAPE project ANR - EDeN project ANR -19-CE36-0003-01), the French Agency for Food, Environmental and Occupational Health & Safety - ANSES (CNAP project EST-2016-121, PENDORE project EST-2016-121, HyPAxE project EST-2019/1/039), the Plan Cancer (Canc’Air project), the French Cancer Research Foundation Association de Recherche sur le Cancer – ARC, the French Endowment Fund AGIR for chronic diseases – APMC (projects PRENAPAR and LCI-FOT), the French Endowment Fund for Respiratory Health, the French Fund – Fondation de France","SEPAGES biospecimens are stored at Grenoble University Hospital(CHU-GA) biobank (bb-0033-00069); we would like to thank the whole CRB team, led by Pr. P. Mossuz and Mr. P. Lorimier, and in particular the technicians for the huge work of biospecimens processing and pooling: Mrs. W. Jayar and Mrs. L. Than, as well as Mr. G. Schummer. We thank the SEPAGES study group : E. Eyriey, A. Licinia, A. Vellement (Groupe Hospitalier Mutualiste, Grenoble), I. Pin, P. Hoffmann, E. Hullo, C. Llerena (Grenoble Alpes University Hospital, La Tronche), X. Morin (Clinique des Cèdres, Echirolles), A. Morlot (Clinique Belledonne, Saint-Martin d’Hères), J. Lepeule, S. Lyon-Caen, C. Philippat, I. Pin, J. Quentin, V. Siroux, R. Slama (Grenoble Alpes University, Inserm, CNRS, IAB). +We thank Mrs. A. Benlakhryfa, Mrs. L. Borges, Mr. Y. Gioria, clinical research assistants; Mrs. J. Giraud, Mrs. M. Marceau, Mrs. M-P. Martin, nurses; Mrs. E. Charvet, Mrs A. Putod, midwives; Mrs. M. Graca, Mrs. K.Gridel, Mrs. C. Pelini, Mrs Maïlys Barorkers; Mrs. A.Bossant, K. Guichardet, J-T Iltis A. Levanic, C.Martel, E. Quinteiro, S.Raffin neuropsychologists; the staff from Grenoble Center for Clinical Investigation (CIC): Prof. J.-L. Cracowski, Dr. C. Cracowski,Dr. E. Hodaj, Mrs. D. Abry, Mr. N. Gonnet and Mrs. A. Tournier. A warm thank you also to Dr. M. Althuser, Mr. S. Althuser, Dr. F. Camus-Chauvet, Mr. P. Dusonchet, Mrs. S. Dusonchet, Dr. L. Emery, Mrs. P.Fabbrizio, Prof. P. Hoffmann, Dr. D. Marchal André, Dr. X. Morin, Dr. E.Opoix, Dr. L. Pacteau, Dr. P. Rivoire, Mrs. A. Royannais, Dr. C.Tomasella, Dr. T. Tomasella, Dr. D. Tournadre, Mr. P. Viossat, Mrs. E.Volpi, Mrs. S. Rey, Dr. E. Warembourg and clinicians from Grenoble University Hospital for their support in the recruitment of the study volunteers. We also thank Mrs. A. Buchet, Mrs. SF. Caraby, Dr. J-N.Canonica, Mrs. J. Dujourdil, Dr. E. Eyriey, Prof. P. Hoffmann, Mrs. M.Jeannin, Mrs. A. Licina, Dr. X. Morin, Mrs. A. Nicolas, and all midwives from the four maternity wards of Grenole uran aras. SEPAGES data are stored thanks to Inserm RE-CO-NAI platform funded by Commissariat Général à l’Investissement, with the implication of Sophiede Visme (Inserm DSI). Many thanks to Dr. M.A. Charles, RE-CO-NAI coordinator, for her support. Finally, and importantly, we would like to express our sincere thanks to participants of the",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +INMA,,INMA,INfancia y Medio Ambiente [Environment and Childhood] Project,,,https://www.proyectoinma.org,,,"INMA – INfancia y Medio Ambiente [Environment and Childhood] Project is a research network of several Spanish groups that created a project with the aim to study the paper of the more relevant environmental pollutants in the air, water and diet during the pregnancy and beginning of life, and their effects in the growth and develo",,Population cohort,,Longitudinal,,,,Prospective,,,2242,1600,Spain,"Gipuzkoa,Barcelona,Valencia","Prenatal,Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years)",,,2003,2008,,,,,,Continuous,Released once data collected and cleaned,No,,,,,,https://doi.org/10.1093/ije/dyr054,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +ELFE,,ELFE,"Etude Longitudinale Française depuis l'Enfa"" (French longitudinal study of children)",,National,https://www.elfe-france.fr/en/,INSERM,,"ELFE is the first French national birth cohort. Its objective is to study determinants of the development, health and socialization of children from birth to adulthood through a multidisciplinary approach. A total of 18 329 children were recruited at birth in a random sample of maternity units in metropolitan France during 25 selected days of 2011 spread over the year. Participation rates at the age 2-month, 1- and 2-year and 3.5-year parental interviews were 92%, 86%, 82% and 80%, respectively, of contacted participants. The ELFE has an open-data policy after an 18-month exclusivity period following each release of new data. The data-access policy, study protocols, questionnaires and data catalogue can be found online: [https://www.ELFE-france.fr/en/].",,Birth cohort,,Longitudinal,,,,"Retrospective,Prospective",,,18329,,France,,,,,2011,2011,,,,,,Continuous,,yes,,health or medical or biomedical research,,"- Submission of the project proposal to the cohort PI (Marie-Aline Charles) +- Approval of the project by Elfe data access committee (takes 2 weeks)​ - Signature of a data access agreement +- Data made available for analysis by Lucinda (credentials will be sent to the person requesting access to the",,https://doi.org/10.1093/ije/dyz227,,,"The Ministries of the Environment, Health and Research provided initial funding for the ELFE cohort. +The funding for the first 5 years of childhood follow-up was obtained from the national ‘Investment for the Future’ +research funding program for a joint project bringing together the ELFE and Epipag",,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +NBC1967-1976,,,NBC1967-1976,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +SWS,,SWS,Southampton Women’,,"pre-conception, pregnancy, childhood, growth, asthma, cardiovascular, mental health",https://www.mrc.soton.ac.uk/sws/,Soton,,"SWS is a population-based prospective birth cohort study of 12 583, initially non-pregnant, women aged 20–34 years, living in the city of Southampton, UK. Assessments of lifestyle, diet and anthropometry were done at study entry in 1998–2002. Women who subsequently became pregnant with singleton pregnancies were followed up during pregnancy; and their 3158 offspring have been studied i",src@mrc.soton.ac.uk,Birth cohort,,Longitudinal,,,,Prospective,,,12583,,United Kingdom of Great Britain and Northern Ireland (the),,"Young adult (18-24 years),Adult (25-44 years)",,,1998,2002,,,,,,Continuous,Upon completion of the procedures outlined above,No,,,,"Initial approach to the cohort contact with a short proposal. This will be sent to the SWS oversight group. If approved, data agreements need to be completed",,https://doi.org/10.1093/ije/dyi202,,,"The SWS is supported by grants from the Medical Research Council, National Institute for Health Research Southampton Biomedical Research Centre, British Heart Foundation, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, and the European Union’s Seventh Framework Programme (FP7/2007-2013), project EarlyNutrition (grant 289346) and from the European Union's Horizon 2020 research and innovation programme (LIFECYCLE, grant agreement No 733206). Study participants were drawn from a cohort study funded by the Medical Research Council and the Dunhill Medica",The authors are grateful to the women of Southampton who gave their time to take part in the Southampton Women’s Survey and to the research nurses and other staff who collected and processed t,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +Immune-Image_Task_6.2a,,Task 6.2a,Serial CD8 PET imaging in cancer patients before and during immune checkpoint inhibition,,,,UMCG,,"Upfront imaging of CD8 (Pandit-Taskar N. et al., J Nucl Med 2018, abstract) is feasible in patients, however data on serial imaging are lacking. When T-cells encounter tumour antigens they are activated and promote lymphocyte proliferation and recruitment to the tumour site. This inflammatory response increases blood flow and vascular permeability, which can be measured with dynamic contrast enhanced (DCE) MRI. Early after starting treatment, immune activation will also lead to T-cell tumour infiltration and increased tumour cellularity, which potentially can be quantified by diffusion weighted imaging (DWI) and radiomics features derived from computational image analysis. Preliminary data suggests that texture measures can capture the spatial heterogeneity of different sites of disease and predict treatment resistance and progression-free survival in the metastatic setting. Moreover, MRI measurements that integrate whole tumour volumetry, diffusion-weighted imaging (ADC) and radiomics (texture analysis) (Larkin T.J. et al.; 2014, Booth T.C. et al., 2017; Newman A.M. et al., 2015) may provide a therapy response assessment. Preliminary data suggests that texture measures can capture the spatial heterogeneity of metastases and predict treatment resistance and progression-free survival in patients with ovarian cancer. Aim Demonstrate and validate (1) PET with a 89Zrlabelled anti-CD8 minibody, to visualize serially the presence of CD8 expressing T-lymphocytes in cancer patients receiving CIT; (2) contribution of MRI measurements of intra- and inter-site tumour heterogeneity. Study design In patients with potential relevant indication for treatment with immune checkpoint inhibition treatment (CIT) (e.g. melanoma or NSCLC) and at least one accessible lesion for biopsy, [89Zr]Zr-anti-CD8 PET imaging (1.5 mg anti human CD8 minibody [89Zr]Zr-Df-IAB22M2C, 37 MBq) will be injected and imaging will be performed before the start and 7 days before the 3rd checkpoint inhibitor administration. Whole body [89Zr]Zr-anti-CD8 distribution will be determined: tumour and normal organ radioactive tracer uptake will be quantified as standardized uptake values (SUV). Patients will undergo multi-parametric MR before and after the 1st cycle and before the 3rd cycle (drugs administered on 2-3 weekly cycles). The third and final MRI will be performed within ~9 weeks after the start of treatment, or on disease progression, whichever is sooner. All metastases determined to be suitable for MR imaging will be evaluated to assess differential tumour response and pseudo-progression. Patients will also undergo contrast-enhanced CT to determine tumour response using iRECIST. Tumour biopsies will be extensively analysed. Statistical considerations: Initial feasibility will be shown in 12 patients. Depending on the tumour type chosen the number of patients required may be increased in order to have sufficient patients with a tumour response to immune checkpoint inhibitor treatment.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +RAINE,,RAINE,The West Australian Pregnancy Cohort,,,https://rainestudy.org.au/,UWA,,"The Raine Study is one of the most comprehensive pregnancy birth cohort studies in the world. It is a rich resource for the study of environmental and genetic factors that affect health and development and can provide unique insights into the natural history of human diseases. Between May 1989 and November 1991, 2900 pregnant women were recruited into the study and their children have been assessed intensively over the past three decades. + +Prospective longitudinal data has been collected at multiple time-points over pregnancy, infancy, childhood, adolescence and young adulthood and there is broad multidisciplinary data on physical, mental and social aspects of development. + +The main cohort (Gen2) are now almost 30 years of age and maintain a keen sense of commitment to the Raine Study. Their data has been genotyped and data linkage with other publicly held datasets (e.g. school results and hospital records) is available. There are stored biological samples and established collaborative research networks across a wide variety of disciplines.",,Population cohort,,Longitudinal,,,,Prospective,,,2868,,,Western Australia,,,,1989,2020,,,,,,Continuous,Upon completion of follow-up,,,health or medical or biomedical research,,1. Submit a project proposal 2. Approval of the project ​3. Sign a data access agreement (DAA) 4. Data access with credentials (via DAT,,https://doi.org/10.5694/mja12.10698,,,"The Raine Study has been funded by program and project grants from the Australian National Health and Medical Research Council, the Commonwealth Scientific and Industrial Research Organisation, Healthway and the Lions Eye Institute in Western Australia. The Raine Study Gen2-17 year follow-up was funded by the NHMRC Program Grant (Stanley et al, ID 353514) and the GWAS data from the Gen2-17 year follow-up was funded by the NHMRC (Huang et al, ID 1059711) grant. The Raine Study participation in LIFECYCLE was funded by a grant from the National Health and Medical Research Council, Australia (GNT114285). The University of Western Australia (UWA), Curtin University, the Raine Medical Research Foundation, the Telethon Kids Institute, the Women’s and Infant’s Research Foundation (KEMH), Murdoch University, The University of Notre Dame Australia and Edith Cowan University provide funding for the Core Management of the Raine Study. REF is a recipient of a National Health and Medical Research Council Early Ca",,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +FEF,,FEF,Fibrefects - Grain fibre modification for gut-mediated health effects,,"RCT, Postprandial, Glucose metabolism, Short chain fatty acids, Rye, Wheat, Wholegrain, Bran, Bioprocessing, Gastrointestinal symptoms",,UEF,,,,Clinical trial,,Longitudinal,,,,Prospective,,,25,25,Finland,,"Adult (25-44 years),Middle-aged (45-64 years)",,,2011,2011,,,,,,Closed dataset,,no,,health or medical or biomedical research,,,,https://doi.org/10.1186/1475-2891-13-104,https://doi.org/10.1093/ajcn/nqy394,,"This study was carried out as a part of the FIBREFECTS (Grain fiber modification for gut mediated health effects) funded mainly by TEKES – The Finnish Funding Agency for Technology and Innovation – and to a smaller extent by Oy Karl Fazer Ab, Vaasan Oy, and Ravintoraisio Oy. The study was supported by a grant from Raisio Plc Research Foundation to J. Lappi, Academy of Finland to K. Poutanen, the Nordic Centre of Excellence on ‘Systems biology in controlled dietary interventions and cohort studies’ (SYSDIET; 070014) to M. Kolehmainen, the Nordic Centre of Excellence on ‘Nordic health – whole grain food (HELGA; 070015) to H. Mykkänen, and the Danish Strategic Research Council, ‘Concepts for enhanced butyrate production to improve colonic health an","Authors thank Erja Kinnunen, Eeva Lajunen and Lilli Lotvonen for their excellent technical assistance during the intervention.",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +KANC,,KANC,Kaunas cohort,,,,VMU,,,,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,4000,4000,Lithuania,,"Prenatal,Child (2-12 years),Adolescent (13-17 years)",,,2007,,,,,,,,,,,health or medical or biomedical research,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +NFBC1986,,NFBC1986,Northern Finland Birth Cohort 1986,,,https://www.oulu.fi/nfbc,UOULU,,"NFBC1986 is a longitudinal one-year birth cohort study from an unselected population. The cohort included all the mothers (N=9362) with children whose expected date of birth felt between July 1st 1985 - June 30th 1986 in the two northernmost provinces on Finland (Oulu and Lapland). A small percentage of the births occurred towards the end of June 1985 and begin of July 1986. + +The number of deliveries in the cohort was 9362, which was 99% of all the deliveries taking place in the target period of the cohort. Altogether 9479 children were born into the cohort, 9432 of them live born. The original data have been supplemented by data collected with postal questionnaires at the ages of 7, 8 and 16 years and various hospital records and statistical register data. The latest data collection with clinical examinations and questionnaires was at the age of 33 years.",,Birth cohort,,Longitudinal,,,,Prospective,,,9479,,Finland,"Lapland,North Ostrobothnia","Prenatal,Infant (0-23 months),Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years),Young adult (18-24 years),Adult (25-44 years)",,,1985,,,,,,,Closed dataset,,yes,,health or medical or biomedical research,,https://www.oulu.fi/nfbc/materialrequest,,,"https://doi.org/10.1111/j.1365-3016.1997.tb00007.x,https://doi.org/10.1111/j.1471-0528.1993.tb12971.x",,"EU QLG1-CT-2000-01643 (EUROBLCS) Grant no. E51560, NorFA Grant no. 731, 20056, 30167, USA / NIH 2000 G DF682 Grant no. 50945",We thank all cohort members and researchers who have participated in the study. We also wish acknowledge the work of the NFBC project center.,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +PSYCONN,,PSYCONN,Psychosis Cohort Northern Netherlands,Psychose Cohort Noord Nederland,schizophrenia schizofrenie psychotic psychotisch psychose databank Nederland PHAMOUS EPO PROGRS PROGR-S RQMIS RQ-MIS,https://ipec-project.com,"GGZ Drenthe,GGZ Friesland,Lentis Research,UMCG","GGZ Drenthe,GGZ Friesland,Lentis Research,UMCG","PSYCONN (=Psychosis Cohort Northern Netherlands) is a combination of 3 datasets from the northern part of the Netherlands; PROGR-S (=Psychosis Recent Onset GRoningen Survey), PHAMOUS (=Pharmacotherapy Outcome and Monitoring Survey) and RQ-MIS (=RoQua Management Information System). Also, see https://umcgresearchdatacatalogue.nl/UMCG/ssr-catalogue/cohorts/MindLines. PROGR-S, initiated in 1997 without an age restriction, collects diagnostic measurements of patients with a suspected recent-onset psychotic episode or recurrent psychotic episode not diagnosed as such before. PHAMOUS, initiated in 2006, contains follow-up data of patients ≥18 years of age with a psychotic disorder who receive care from mental health care institutions in the northern part of the Netherlands (University Medical Center Groningen (UMCG)/University Center for Psychiatry (UCP), Lentis, GGZ Drenthe or GGZ Friesland). PROGR-S and PHAMOUS are both ongoing naturalistic prospective cohort studies. PHAMOUS participants will only be included hey are also enrolled in PROGR-S. RQ-MIS contains health care consumption, socio-demographic, and diagnosis data. PSYCONN baseline data is collected from PROGR-S and RQ-MIS. PSYCONN outcome data is collected from PHAMOUS, RQ-MIS, and an additional medical records file search.",ipec@umcg.nl,"Clinical cohort,Registry",,Longitudinal,,,,,,,1000,,Netherlands (the),"Groningen,Friesland,Drenthe","Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)",,,1998,2018,,,,,,Periodically,,,UMCG,,,"IPEC set up a virtual databank and implemented a technical infrastructure for remote federated analysis of individual-level data of psychosis patients. With this platform, individual patient data remains stored on local servers of participating institutions and individual patient data will not be transported to one central site. +Contact IPEC via ipec@umcg.nl to receive more information about access to the virtual databank.",,,,,"IPEC was supported by the 2020 SIRS Research Harmonization Group Award which included a grant in the amount of $5000 USD to Prof. Wim Veling and Prof. Craig Morgan; an internal MD-PhD research grant of the University Medical Center Groningen (grant number 18-41) to Vera Brink, MSc; a grant in the amount of 400,000 DKK of the Capital Regions Research council to Dr Nikolai Albert; and the participating institutions (Lentis Psychiatric Institute, GGZ Drenthe, GGZ Friesland, University Center Psychiatry of University Medical Center Groningen, Bispebjerg hospital, Psychiatric Hospital Risskov, and Psychiatric Centre Copenhagen).","IPEC wishes to acknowledge the services of all the study participants, staff, research groups, and institutions collaborating in IPEC, and of MOLGENIS and RoQua, who helped build and maintain the technical infrastructure.",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +CRC-Cohort,,CRC-Cohort,Colorectal Cancer Cohort,,,,BBMRI-ERIC,,"The colorectal cancer cohort (CRC-Cohort) was developed by BBMRI-ERIC, its National Nodes and BBMRI-ERIC partner biobanks within the EU-funded project ADOPT BBMRI-ERIC (H2020) as a use case for piloting access to European biobanks. It became a permanent asset of the BBMRI-ERIC infrastructure after the end of the ADOPT project. The CRC-Cohort collection is a joint long-term European endeavor, which enables existing, well-established biobanks to connect with BBMRI-ERIC and obtain increased recognition and visibility along with new users and data.",petr.holub@bbmri-eric.eu,Biobank,,Cross-sectional,,,,Retrospective,,,10500,,,,,,,,,,,,,,,,,,"general research use,health or medical or biomedical research,disease specific research",,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +RS3,,Rotterdam Study third cohort,"Rotterdam Study, third cohort",,Biomarkers · Cancer and related diseases · Cardiovascular diseases · Cohort study · Dermatological diseases · Endocrine diseases · Epidemiologic methods · Genetic and molecular epidemiology · Nutrition and lifestyle epidemiology · Liver diseases · Neurological diseases · Oncology · Ophthalmic diseases · Otolaryngological diseases · Pharmacoepidemiology · Population imag,https://www.ergo-onderzoek.nl/,EMC,,"The Rotterdam Study is an ongoing prospective cohort study that started in 1990 in the city of Rotterdam, The Netherlands. The study aims to unravel etiology, preclinical course, natural history and potential targets for intervention for chronic diseases in mid-life and late-life.",,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,6057,3932,Netherlands (the),Rotterdam,"Middle-aged (45-64 years),Aged (65+ years)",,,2006,,,,,,,Continuous,Once a follow-up is completed and data have been processed.,no,,health or medical or biomedical research,,,,https://doi.org/10.1007/s10654-020-00640-5,"https://doi.org/10.1007/s10654-009-9386-z,https://doi.org/10.1007/BF00145007,https://doi.org/10.1007/s10654-007-9199-x,https://doi.org/10.1007/s10654-011-9610-5,https://doi.org/10.1007/s10654-013-9866-z,https://doi.org/10.1007/s10654-015-0082-x,https://doi.org/10.1007/s10654-017-0321-4",,"The Rotterdam Study is supported by the Erasmus MC University Medical Center and Erasmus University Rotterdam; The Netherlands Organisation for Scientifc Research (NWO); The Netherlands Organisation for Health Research and Development (ZonMw); the Research Institute for Diseases in the Elderly (RIDE); The Netherlands Genomics Initiative (NGI); the Ministry of Education, Culture and Science; the Ministry of Health, Welfare and Sports; the European Commission (DG XII); and the Municipality of Rotterdam.","The contribution of inhabitants, general practitioners and pharmacists of the Ommoord district to the Rotterdam Study is gratefully acknowledged. The contributions to the Management Team specifcally and the Rotterdam Study at large of the following persons are pivotal to the daily operations of the study and highly appreciated: Jacobus Lubbe, Gabriëlle Bakker, Eric Neeleman, Jeannette Vergeer, Anneke Korving, Pauline van Wijngaarden, Jolande Verkroost – van Heemst, Silvan Licher, Isabel van",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +NFBC1966 G0,,NFBC1966 G0,Parents of NFBC1966,,,,UOULU,,,,Population cohort,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +FinnGeDi,,FinnGeDi,Finnish Gestational Diabetes Study,,,,UOULU,,,,Clinical cohort,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +MoBa,,MoBa,"The Norwegian Mother, Father and Child Cohort Study",,,https://www.fhi.no/en/studies/moba/,NIPH,,"MoBa is a Norwegian population-based longitudinal cohort study of around 114,500 children, 95,000 mothers and 75,000 fathers. Recruitment of pregnant women attending routine ultrasound examination took place between 1999 and 2009, and MoBa has since grown to become one of the largest population studies in the world. Baseline questionnaires were completed at around 15 weeks’ gestation, and two further prenatal questionnaires were administered at around 17-22 and 30 weeks’ gestation. In addition, fathers completed a questionnaire at around 15’ weeks gestation. Follow-up questionnaires after birth were completed at 6 months, 18 months, 36 months, 5 years, 7 years, and 8 years of age, and data are currently being collected through questionnaires for children aged 13 and 14 years. The purpose of MoBa is to improve our knowledge of diseases and health, by estimating exposure-outcome associations among children and their parents from preconception and pr",,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,114000,,Norway,,"Prenatal,Newborn (0-1 months),Child (2-12 years),Adolescent (13-17 years)",,,1999,2008,,,,,,Continuous,Continuously; the most recent release is version 12,Data can be linked to the medical birth registry.,,,,,,https://doi.org/10.1093/ije/dyl170,,,"The Norwegian Mother, Father and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and the Ministry of Education and Research.",The authors are grateful to all the participating families in Norway who take part in this on-going cohort study.,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +GECKO,,GECKO,The Groningen Expert Center for Kids with Obesity Drenthe cohort,,,https://www.rug.nl/research/portal/datasets/gecko-drenthe-cohort(3e14f7ca-a55d-41d9-9803-19302aa4ea87).html,,,,,Clinical cohort,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +ALSPAC,,ALSPAC,Avon Longitudinal Study of Parents and Children,,,http://www.bristol.ac.uk/alspac/,UOB,,"Based at the University of Bristol, the Avon Longitudinal Study of Parents and Children (ALSPAC), also known as Children of the 90s, is a world-leading birth cohort study. + +Between April 1991 and December 1992 we recruited more than 14,000 pregnant women into the study and these women (some of whom had two pregnancies or multiple births during the recruitment period), the children arising from the pregnancy, and their partners have been followed up intensively over two decades. + +We are the most detailed study of its kind in the world and we provide the international research community with a rich resource for the study of the environmental and genetic factors that affect a person’s health and development. Through our research we aim to inform policy and practices that will provide a better life for future gene",,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,14541,,United Kingdom of Great Britain and Northern Ireland (the),,,,,1990,1992,,,,,,Closed dataset,Released once data collected and cleaned,,,,"""not for profit, non commercial use only""",,,https://doi.org/10.1093/ije/dys064,https://doi.org/10.1093/ije/dys066,,"The UK Medical Research Council and Wellcome (Grant ref: 217065/Z/19/Z) and the University of Bristol provide core support for ALSPAC. This publication is the work of the authors and will serve as guarantors for the contents of this paper.? + +In addition, you are expected to acknowledge the grant(s) which supported the collection of the primary exposure(s) and outcome(s) used in your study and any other grants in the checklist, which are pertinent to your study. The following sentences should be included with the above section: + + ?A comprehensive list of grants funding (PDF, 330KB) is available on the ALSPAC website. This research was specifically funded by .","We are extremely grateful to all the families who took part in this study, the midwives for their help in recruiting them, and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists and nurses.",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +CELSPAC-TNG,,CELSPAC-TNG,Central European Longitudinal Study of Parents and Children: The Next Generation,,"EXPOSOME, Central Europe",https://www.celspac.cz/tng,RECETOX,,This prospective birth cohort is designed to follow up 7000 children from their prenatal period to adolescence with the aim of assessing EXPOSOME factors potentially affecting children health.,,Birth cohort,,Longitudinal,,,,"Retrospective,Prospective",,,950,900,Czechia,,,,,2018,,,,,,,Continuous,,,,health or medical or biomedical research,,"If you are interested in using available data from the ELSPAC.CZ database, please follow these steps: 1) Send your request to info@celspac.cz. 2) You will be contacted by the project manager who will discuss and, if necessary, work up your project plan. 3) The ELSPAC Executive Council will assess the proposed project plans with regard to their quality and feasibility and will recommend the selected ones to be carried out. 4) If your request is approved, a contract will be concluded between the Faculty of Science at Masaryk University and your institution. 5) Data in the agreed form and extent will be provided based on this contract.",,,,,"The RECETOX Research Infrastructure (TNG is included) is supported by the Ministry of Education, Youth and Sports of the Czech Republic (LM2018121)",The authors are grateful to all participants of the TNG cohort.,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +RS2,,Rotterdam Study second cohort,"Rotterdam Study, second cohort",,Biomarkers · Cancer and related diseases · Cardiovascular diseases · Cohort study · Dermatological diseases · Endocrine diseases · Epidemiologic methods · Genetic and molecular epidemiology · Nutrition and lifestyle epidemiology · Liver diseases · Neurological diseases · Oncology · Ophthalmic diseases · Otolaryngological diseases · Pharmacoepidemiology · Population imag,https://www.ergo-onderzoek.nl/,EMC,,"The Rotterdam Study is an ongoing prospective cohort study that started in 1990 in the city of Rotterdam, The Netherlands. The study aims to unravel etiology, preclinical course, natural history and potential targets for intervention for chronic diseases in mid-life and late-life.",,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,4472,3011,Netherlands (the),Rotterdam,"Middle-aged (45-64 years),Aged (65+ years)",,,2000,,,,,,,Continuous,Once a follow-up is completed and data have been processed.,no,,health or medical or biomedical research,,,,https://doi.org/10.1007/s10654-020-00640-5,"https://doi.org/10.1007/s10654-009-9386-z,https://doi.org/10.1007/BF00145007,https://doi.org/10.1007/s10654-007-9199-x,https://doi.org/10.1007/s10654-011-9610-5,https://doi.org/10.1007/s10654-013-9866-z,https://doi.org/10.1007/s10654-015-0082-x,https://doi.org/10.1007/s10654-017-0321-4",,"The Rotterdam Study is supported by the Erasmus MC University Medical Center and Erasmus University Rotterdam; The Netherlands Organisation for Scientifc Research (NWO); The Netherlands Organisation for Health Research and Development (ZonMw); the Research Institute for Diseases in the Elderly (RIDE); The Netherlands Genomics Initiative (NGI); the Ministry of Education, Culture and Science; the Ministry of Health, Welfare and Sports; the European Commission (DG XII); and the Municipality of Rotterdam.","The contribution of inhabitants, general practitioners and pharmacists of the Ommoord district to the Rotterdam Study is gratefully acknowledged. The contributions to the Management Team specifcally and the Rotterdam Study at large of the following persons are pivotal to the daily operations of the study and highly appreciated: Jacobus Lubbe, Gabriëlle Bakker, Eric Neeleman, Jeannette Vergeer, Anneke Korving, Pauline van Wijngaarden, Jolande Verkroost – van Heemst, Silvan Licher, Isabel van",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +NOMA,,NOMA,Effect of fat quality on blood lipids and immune response,,"RCT, SFA, PUFA, LDL-cholesterol",https://www.med.uio.no/imb/english/research/projects/noma/,UiO,,"This randomized controlled trial aimed to investigate the health effects of replacing food items with a high content of saturated fatty acids with food items where a large portion of the saturated fat had been replaced with polyunsaturated fat. The main finding was that compared to intake of food items with saturated fat, intake of food items with polyunsaturated fat reduced total and low-density lipoprotein (LDL)-cholesterol by 9 and 11%, respectively. In this study, we collected data on standard clinical and biochemical variables, in addition to dietary intake as well as standard clinical and biochemical variables, in addition to dietary intake as well as metabolic and transcriptomic profiles.",,Clinical trial,,Cross-sectional,,,,Prospective,,,251,,,Oslo,"Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (80+ years)",,,2012,2014,,,,,,Other release type,Data collection is completed.,No,,health or medical or biomedical research,,Contact Stine Marie Ulven (smulven@medisin.uio.no) to use data from this study.,,https://doi.org/10.1017/S0007114516003445,"https://doi.org/10.1093/ajcn/nqy356,https://doi.org/10.1016/j.numecd.2020.06.018",,"This study was funded by the University of Oslo, Norway, and the Throne-Holst Foundation for Nutrition Research, Oslo, Norway.","We thank the NoMa team at the Oslo and Akershus University College of Applied Sciences, Department of Health, Nutrition and Management and at the University of Oslo, Department for Nutrition, Oslo, Norway.",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +ABCD,,ABCD,The Amsterdam Born Children and their Development Study,,"multicultural, psychosocial outcomes, child development, growth, cardiometabolic profile",http://www.abcd-studie.nl/,AMC,,The ABCD-study is a large longitudinal research study on the health of 8000 Amsterdam born children. We investigate which factors in early pregnancy and childhood influence the health of these children.,,Birth cohort,,Longitudinal,,,,"Retrospective,Prospective",,,8266,4300,Netherlands (the),Amsterdam,Prenatal,,,2003,2004,,,,,,Continuous,Once a follow-up is completed and data have been processed.,no,,,,reach out to contact person,,https://doi.org/10.1093/ije/dyq128,,,The ABCD study has been supported by grants from The Netherlands Organisation for Health Research and Development (ZonMW) and The Netherlands Heart Foundation.,"We thank all participating families, and are grateful to all obstetric care providers, primary schools, students, and youth healthcare centers in Amsterdam for their contribution to the data collection of the ABCD-study",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +HELIX,,HELIX,The Human Early-Life Exposome,,Novel tools for integrating early-life environmental exposures and child health across Europe,http://www.projecthelix.eu,ISGLOBAL,,"Six prospective birth cohort studies are contributing to HELIX as the only realistic and feasible way to obtain the comprehensive, longitudinal, human data needed to build this early-life exposome. These cohorts have already collected large amounts of data as part of national and EU-funded projects. Results will be integrated with data from European cohorts (>300,000 subjects) and registers, to estimate health impacts at the large European scale.",,Birth cohort,,Longitudinal,,,,Prospective,,,32000,1300,"Norway,France,Spain,United Kingdom of Great Britain and Northern Ireland (the),Greece,Lithuania",,,,,2014,2016,,,,,,,,,,,,,,,,,https://cordis.europa.eu/project/id/308333,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +RS1,,Rotterdam Study first cohort,"Rotterdam Study, first cohort",,Biomarkers · Cancer and related diseases · Cardiovascular diseases · Cohort study · Dermatological diseases · Endocrine diseases · Epidemiologic methods · Genetic and molecular epidemiology · Nutrition and lifestyle epidemiology · Liver diseases · Neurological diseases · Oncology · Ophthalmic diseases · Otolaryngological diseases · Pharmacoepidemiology · Population imag,https://www.ergo-onderzoek.nl/,EMC,,"The Rotterdam Study is an ongoing prospective cohort study that started in 1990 in the city of Rotterdam, The Netherlands. The study aims to unravel etiology, preclinical course, natural history and potential targets for intervention for chronic diseases in mid-life and late-life.",,Population cohort,,Longitudinal,,,,"Retrospective,Prospective",,,10215,7983,Netherlands (the),Rotterdam,"Middle-aged (45-64 years),Aged (65+ years)",,,1989,0,,,,,,Continuous,Once a follow-up is completed and data have been processed.,no,,health or medical or biomedical research,,,,https://doi.org/10.1007/s10654-020-00640-5,"https://doi.org/10.1007/s10654-009-9386-z,https://doi.org/10.1007/BF00145007,https://doi.org/10.1007/s10654-007-9199-x,https://doi.org/10.1007/s10654-011-9610-5,https://doi.org/10.1007/s10654-013-9866-z,https://doi.org/10.1007/s10654-015-0082-x,https://doi.org/10.1007/s10654-017-0321-4",,"The Rotterdam Study is supported by the Erasmus MC University Medical Center and Erasmus University Rotterdam; The Netherlands Organisation for Scientifc Research (NWO); The Netherlands Organisation for Health Research and Development (ZonMw); the Research Institute for Diseases in the Elderly (RIDE); The Netherlands Genomics Initiative (NGI); the Ministry of Education, Culture and Science; the Ministry of Health, Welfare and Sports; the European Commission (DG XII); and the Municipality of Rotterdam.","The contribution of inhabitants, general practitioners and pharmacists of the Ommoord district to the Rotterdam Study is gratefully acknowledged. The contributions to the Management Team specifcally and the Rotterdam Study at large of the following persons are pivotal to the daily operations of the study and highly appreciated: Jacobus Lubbe, Gabriëlle Bakker, Eric Neeleman, Jeannette Vergeer, Anneke Korving, Pauline van Wijngaarden, Jolande Verkroost – van Heemst, Silvan Licher, Isabel van",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +DFBC,,DFBC,Dutch Famine Birth Cohort study,Hongerwinter Onderzoek,"famine, Dutch, older adults, ageing, pregnancy, early life, prenatal famine exposure",https://www.hongerwinter.nl/,Amsterdam UMC (AMC),,"The cohort was set up to investigate the effects of acute maternal undernutrition during specific stages of gestation on the offspring’s adult health. The main outcomes of interest of the DFBC are chronic cardiovascular and metabolic diseases, ageing and mental health. Differences in various outcomes have been found between participants exposed to famine and unexposed participants. Although statistically significant, these differences are not very large, therefore adjusting for exposure group enables researchers to use DFBC data in pooled a",,Birth cohort,test,Longitudinal,,,,"Retrospective,Prospective",,,2414,,Netherlands (the),,,,,1994,2021,,,,,,Other release type,upon completion of fu,no,,health or medical or biomedical research,,1. Submit a DFBC project proposal (s.r.derooij@amsterdamumc.nl) 2. Approval of the project ​3. Sign a data access agreement (DAA) 4. Data access with credentials (via DAT,,https://doi.org/10.1136/bmjopen-2020-042078,https://doi.org/10.1136/bmjopen-2013-003167,,"The Dutch famine birth cohort study has been funded by the Diabetes Fonds (The Netherlands, Grant Number NA), the Netherlands Heart Foundation ((NHS2001B087, NHS2007B083), The European Science Foundation (EUROSTRESS-DOME project), the European Commission (Brainage (Seventh Framework Programme Project 279281), Dynahealth (Horizon 2020 Project 633595), Longitools (Horizon 2020 Project 874739), Well-being (UK, Grant Number NA), the Medical Research Council (UK, Grant Number NA), the Dutch Research Council (NWO Aspasia Project 015014039) and the Academic Medical Centre (Amsterdam, The Netherlands, Grant number NA). We declare no conflict of interest.","We would like to thank the members of the Dutch famine birth cohort for their participation in our studies. We would also like to thank all researchers and other staff who have worked with us on study design, data collection, assessments, analyses and drafting of manuscripts.",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +Immune-Image_Task_6.2b,,Task 6.2b,PD-1 therapy study,,,,UMCG,,An investigator initiated clinical treatment trial with PD-1 antibody provided by Janssen will include the patients who underwent CD8 imaging in task 6.2a. This study will be designed and executed during the course of Immune-Image according to cGCP standards. This study in contrast to the CD8 imaging part will extent till the end of Immune-Image in order to allow appropriate follow-up of the patients.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +Immune-Image_Task_6.3,,Task 6.3,Optical PD-L1 imaging trial in locally advanced oesophageal cancer patients,,,,UMCG,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +PANIC,,PANIC,Physical Activity and Nutrition In Children,,"adipokines, adolescence, adolescents, aldosterone, arterial, imaging, arteriosclerosis, artery, wall, elasticity, artery, wall, stiffness, artery, wall, thickness, atherosclerosis, bioelectrical, impedance, bioimpedance, birth, birth, weight, body, fat, content, body, mineral, content, body, mineral, density, cardiovascular, disease, carotid, ultrasound, childhood, children, depression, development, diet, dietary, recording, dual-energy, x-ray, absorptiometry, dxa, eating, behavior, ergospirometry, exercise, exercise, test, fat, mass, fat, percentage, fat-free, mass, fetal, period, gene, genome-wide, association, studies, glucose, glucose, tolerance, test, growth, impedance, cardiography, insulin, intervention, intima-media, thickness, lean, body, mass, lean, mass, lifestyle, lipids, lipoproteins, liver, enzymes, maximal, oxygen, consumption, maximal, oxygen, uptake, mental, problems, metabolite, profiling, metabolomics, musculoskeletal, disease, myokines, nutrition, obesity, osteoporosis, overweight, oxidative, stress, physical, activity, pregnancy, prepubertal, psychic, problems, puberal, puberty, questionnaire, redox-regulation, respiratory, gas, analysis, respiratory, gases, school, age, screen, time, sedentary, behavior, sedentary, time, sex, hormones, sex, steroids, sitting, sleep, sleeping, stress, stress, hormones, thyroid, hormones, trial, type, 2, diabetes",https://www.panicstudy.fi/,UEF,,The Physical Activity and Nutrition in Children (PANIC) Study is an ongoing 8-year controlled physical activity and dietary intervention study in a large population sample of children who have been followed retrospectively since pregnancy and prospectively until adolescence and will finally be followed until early adulthood,,Clinical trial,,Longitudinal,,,,"Prospective,Retrospective",,,736,512,Finland,,"Child (2-12 years),Adolescent (13-17 years)",,,2007,,,,,,,Other release type,"Data from baseline, 2-year follow-up and 8-year follow-up have been processed",no,,,,reach out to contact person,,https://doi.org/10.1007/s00125-020-05250-0,https://doi.org/10.1016/j.numecd.2016.05.005,,"Ministry of Social Affairs and Health of Finland, Ministry of Education and Culture of Finland, Finnish Innovation Fund Sitra, Social Insurance Institution of Finland, Research Committee of the Kuopio University Hospital Catchment Area (State Research Funding), Kuopio University Hospital (EVO funding number 5031343), the city of Kuopio, Finnish Cultural Foundation, Juho Vainio Foundation, Foundation for Paediatric Research, Paavo Nurmi Foundation, Jenny and Antti Wihuri Foundation, Paulo Foundation, Diabetes Research Foundation, Finnish Foundation of Cardiovascular Research, OLVI-foundation, The Finnish Medical Foundation, Yrjö Jahnsson Foundation, Aarne and Aili Turunen Foundation, Päivikki and Sakari Sohlberg Foundation, Jalmari and Rauha Ahokas Foundation, Doctoral Programs in Public Health (DPPH), Finnish Doctoral Program in Oral Sciences (FINDOS), The Kuopio Naturalists' Society, Finnish Association for the Study of Pain, the Finnish Dental Society Apollonia and other Finnish Associations and So",,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +NFBC1966,,NFBC1966,NFBC1966,,,https://www.oulu.fi/nfbc,UOULU,,"The study was started by professor Paula Rantakallio in the two Northernmost provinces in Finland (Oulu and Lapland) already in the year 1965 when the mothers were pregnant. Data on the individuals born into this cohort was collected since the 24th gestational week as well as their mothers and, to a lesser extent, fathers. The cohort included 12055 mothers and they had 12068 deliveries (13 women delivered twice). + +Cases belonging to survey were determined by the calculated term. A small percentage of the births occurred towards the end of 1965 and early in 1967. The calculated term, as was customary at that time, was counted from the first day of the last menstrual period. Where this date was unknown the expected term was estimated from the date of commencement of foetal ovements and progress of the pregnancy. The study covered all live born and stillborn infants with birth weight of 600 grams or more. + +According to the Finland's central Office of Statistics, births in the study area during 1966 totalled 12527, so study population comprised 96.3 per cent of all births during 1966 in that area. Altogether 12231 children were born into the cohort, 12058 of them live born. The original data have been supplemented by data collected with postal questionnaires at the ages of 1, 14 and 31 years and various hospital records and national register data.",,Birth cohort,,Longitudinal,,,,Prospective,,,12231,,Finland,"Lapland,North Ostrobothnia","Prenatal,Newborn (0-1 months),Infants and toddlers (2-23 months),Infant (0-23 months),Adolescent (13-17 years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years)",,,1965,,,,,,,Closed dataset,,yes,,health or medical or biomedical research,,https://www.oulu.fi/nfbc/materialrequest,,,https://doi.org/10.1093/ije/dyab109,,"For the 31yr follow-up: NFBC1966 received financial support from University of Oulu Grant no. 65354, Oulu University Hospital Grant no. 2/97, 8/97, Ministry of Health and Social Affairs Grant no. 23/251/97, 160/97, 190/97, National Institute for Health and Welfare, Helsinki Grant no. 54121, Regional Institute of Occupational Health, Oulu, Finland Grant no. 50621, 54231 + +For the 46yr follow-up: NFBC1966 received financial support from University of Oulu Grant no. 24000692, Oulu University Hospital Grant no. 24301140, ERDF European Regional Development Fund Grant no. 539/2010 A31592",We thank all cohort members and researchers who have participated in the study. We also wish acknowledge the work of the NFBC project center.,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +SAPALDIA,,,SAPALDIA,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +mtFIT study,,mtFIT study,Multitarget FIT study,,"colon, crc, colorectal, cancer, early detection, early detection of cancer, feces, mass screening, biomarkers, colonoscopy, routine diagnostic tests",https://www.avl.nl/multitargetFIT,NKI,,"The mulitarget FIT study is a prospective study that is running within the Dutch National CRC screening program. The aim of this study is to compare the performance of a new stool test (mtFIT) with the currently used FIT. In this study we collect the lab data (results mtFIT and FIT) as well as the clinical data associated; age and sex of participants, colonoscopy findings (when one or both tests are positive), pathology data (when a lesion is detected during colonoscopy).",b.carvalho@nki.nl,"Population cohort,Clinical trial,Biobank",,Cross-sectional,,,,Prospective,,,13300,,,,,,,,,,,,,,,,,,"health or medical or biomedical research,disease specific research",,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +SYSDIMET,,SYSDIMET,Health Grain intervention,,"RCT, healthy diet, cereals, berries, n-3 fatty acids, dietary fibre, inflammation, endothelial dysfunction",,UEF,,,,Clinical trial,,Longitudinal,,,,Prospective,,,131,104,Finland,,"Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years)",,,2007,2007,,,,,,Closed dataset,Contact Marjukka Kolehmainen to use data from this study,no,,health or medical or biomedical research,,Contact Marjukka Kolehmainen to use data from this study,,https://doi.org/10.1007/s00125-011-2285-3,"https://doi.org/10.1371/journal.pone.0090352,https://doi.org/10.1371/journal.pone.0022646",,"This study was supported by: the Academy of Finland (117844 and 118590 [to M. Uusitupa]; 131460 [to K. Poutanen]; 130469 [to H. Mykkänen] and 131593 [to V. D. F. de Mello]); the Kuopio University Hospital (5106, 5168, 5254 [to M. Uusitupa]); the Finnish Diabetes Research Foundation; the Sigrid Juselius Foundation; the Nordic Centre of Excellence on ‘Systems biology in controlled dietary interventions and cohort studies’ +(SYSDIET; 070014); and the European Commission in the Communities 6th Framework Programme, Project HEALTHGRAIN (","We thank the laboratory technologists T. Onnukka and K. Kettunen from the Department of Clinical Nutrition, University of Eastern Finland, Kuopio, Finland, and G. Trischler from the Department of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany for their skilful work.",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +DNBC,,DNBC,The Danish National Birth Cohort,,,https://www.dnbc.dk,UCPH,,"The Danish National Birth Cohort (DNBC) was established to investigate the causal link between exposures in early life and disease later on and the possibilites for disease prevention. Initial data collection information was collected by computer-assisted telephone interviews with the women twice during pregnancy and when their children were six and 18 months old. Further data collections were conducted when the children were 7, 11 and 18 years old. For more details, please visit the DNBC homepage.",,Birth cohort,,Longitudinal,,,,Prospective,,,100410,96825,Denmark,,,,,1996,2003,,,,,,Other release type,,The non-harmonized DNBC data can be linked to Danish registries,,health or medical or biomedical research,,"1. Once a proposal has been circulated, the DNBC LifeCycle team at UCPH discuss the proposal to determine whether DNBC can participate and assign a lead DNBC researcher to the proposal. This DNBC researcher then contacts the study PI to confirm our participation and request that the study PI fill in a DNBC application form. +2. The DNBC application form is sent to the DNBC managerial team via UCPH. +3. After approval of the application, the researcher/study PI will receive a letter (by e-mail) of approval from the DNBC and asked to sign a consent form for correct data use. +4. Once this consent form has been signed and returned, the researcher can contact the DNBC data manager who will provide access to the requested variables.",,https://doi.org/10.1177/14034948010290040201,,,"The Danish National Birth Cohort was established with a significant grant from the Danish National Research Foundation. Additional support was obtained from the Danish Regional Committees, the Pharmacy Foundation, the Egmont Foundation, the March of Dimes Birth Defects Foundation, the Health Foundation and other minor grants. The DNBC Biobank has been supported by the Novo Nordisk Foundation and the Lundbeck Foundation. Follow-up of mothers and children have been supported by the Danish Medical Research Council (SSVF 0646, 271-08-0839/06-066023, O602-01042B, 0602-02738B), the Lundbeck Foundation (195/04, R100-A9193), The Innovation Fund Denmark 0603-00294B (09-067124), the Nordea Foundation (02-2013-2014), Aarhus Ideas (AU R9-A959-13-S804), University of Copenhagen Strategic Grant (IFSV 2012), and the Danish Council for Independent Research (DFF – 4183-00594 and DFF - 4183-0","The authors would like to thank the participants, the first Principal Investigator of DNBC Prof. Jørn Olsen, the scientific managerial team, and DNBC secretariat for being, establishing, developing and consolidating the Danish National Birth Coho",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +ELSPAC,,ELSPAC,ELSPAC,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +ENVIRONAGE,,ENVIRONAGE,ENVIRonmental influence ON early AGEing,,"air pollution, child, aging, newborn, exposome, telomere length, placenta, omics, cardiovascular, system cognition",https://www.uhasselt.be/Algemene-Informatie-Limburgs-Geboortecohort,UHASSELT,,Within the ongoing population-based prospective birth cohort study ENVIRONAGE we explore new dimensions in the current understanding of human ageing and its interaction with the environment,,Birth cohort,,Longitudinal,,,,"Retrospective,Prospective",,,2000,2000,Belgium,,,,,2010,,,,,,,Annually,"Due to ongoing recruitment and follow-up, annual updates are provided of the datasets",No,,health or medical or biomedical research,,Contact Tim Nawrot (tim.nawrot@uhasselt.be) or Michelle Plusquin (Michelle.plusquin@uhasselt.Be),,https://doi.org/10.1093/ije/dyw269,,,"The ENVIRONAGE birth cohort is supported by the European Research Council [ERC-2012-StG.310898], and by funds of the Flemish Scientific Research council [FWO, G.0.733.15.N, G.0.592.14].","The authors are extremely grateful to the participating women and neonates, as well as the staff of the maternity ward, midwives and the staff of the clinical laboratory of East-Limburg Hospital in Genk.",,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +testCohort3,,,testCohort3,,,,,,"testcohort 3 is used for mappings, not to check rich or descriptive metadata",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +testCohort4,,,testCohort4,,,,,,"testcohort 4 is used for mappings, not to check rich or descriptive metadata",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +testCohort1,https://pid-for-testcohort1.org,acronym for test cohort 1,Name for test cohort 1,Local name for test cohort 1,"test, cohort1, Molgenis, testing",https://www.molgenis.org,"Test lead organisation 1,test lead organisation 2","Test additional organisation 1,id for test additional organisation 2","This is the Test cohort 1. It has multiple entries where possible. Design paper and publications are random DOIs from the EUCAN project. Yes to data access fee. The population age group is all adult options, so the population age group should be shown as ""Adult 18+ years"". Cohort type has both 'normal' and 'other' fields filled in --> see which is displayed",molgenis-support@umcg.nl,"Clinical cohort,Clinical trial",Cohort 1 other type,Longitudinal,Description of the design used for cohort 1,,,"Retrospective,Prospective",,,600,200,"Armenia,Bermuda,Réunion","Bradford,Lapland,Gipuzkoa","Adult (18+ years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65+ years),Aged (65-79 years),Aged (80+ years)","Clinically relevant exposure inclusion criterion,Clinically relevant lifestyle inclusion criterion,Country of residence inclusion criteria",,1900,1967,"E00 Congenital iodine-deficiency syndrome,E00-E07 Disorders of thyroid gland,""E00.0 Congenital iodine-deficiency syndrome, neurological type"",""E00.1 Congenital iodine-deficiency syndrome, myxoedematous type"",""E00.2 Congenital iodine-deficiency syndrome, mixed type"",""E00.9 Congenital iodine-deficiency syndrome, unspecified"",E01 Iodine-deficiency-related thyroid disorders and allied conditions,E01.0 Iodine-deficiency-related thyroid disorders and allied conditions - Iodine-deficiency-related diffuse (endemic) goitre,E01.1 Iodine-deficiency-related thyroid disorders and allied conditions - Iodine-deficiency-related multinodular (endemic) goitre,""E01.2 Iodine-deficiency-related thyroid disorders and allied conditions - Iodine-deficiency-related (endemic) goitre, unspecified"",E01.8 Other iodine-deficiency-related thyroid disorders and allied conditions,E02 Subclinical iodine-deficiency hypothyroidism,E03 Other hypothyroidism,E03.0 Congenital hypothyroidism with diffuse goitre,E03.1 Congenital hypothyroidism without goitre,E03.2 Hypothyroidism due to medicaments and other exogenous substances,E03.3 Postinfectious hypothyroidism,E03.4 Other hypothyroidism - Atrophy of thyroid (acquired),E03.5 Other hypothyroidism - Myxoedema coma,E03.8 Other specified hypothyroidism,""E03.9 Hypothyroidism, unspecified"",E04 Other nontoxic goitre,E04.0 Nontoxic diffuse goitre,E04.1 Nontoxic single thyroid nodule,E04.2 Nontoxic multinodular goitre,E04.8 Other specified nontoxic goitre,""E04.9 Nontoxic goitre, unspecified"",E05 Thyrotoxicosis [hyperthyroidism],E05.0 Thyrotoxicosis with diffuse goitre,E05.1 Thyrotoxicosis with toxic single thyroid nodule,E05.2 Thyrotoxicosis with toxic multinodular goitre,E05.3 Thyrotoxicosis from ectopic thyroid tissue,E05.4 Thyrotoxicosis factitia,E05.5 Thyrotoxicosis [hyperthyroidism] - Thyroid crisis or storm,E05.8 Other thyrotoxicosis,""E05.9 Thyrotoxicosis, unspecified"",E06 Thyroiditis,E06.0 Acute thyroiditis,E06.1 Subacute thyroiditis,E06.2 Chronic thyroiditis with transient thyrotoxicosis,E06.3 Autoimmune thyroiditis,E06.4 Drug-induced thyroiditis,E06.5 Other chronic thyroiditis,""E06.9 Thyroiditis, unspecified"",E07 Other disorders of thyroid,E07.0 Hypersecretion of calcitonin,E07.1 Other disorders of thyroid - Dyshormogenetic goitre,E07.8 Other specified disorders of thyroid,""E07.9 Disorder of thyroid, unspecified"",E10 Type 1 diabetes mellitus,E10-E14 Diabetes mellitus,E10.0 Type 1 diabetes mellitus with coma,E10.1 Type 1 diabetes mellitus with ketoacidosis,E10.2 Type 1 diabetes mellitus with renal complications,E10.3 Type 1 diabetes mellitus with ophthalmic complications,E10.4 Type 1 diabetes mellitus with neurological complications,E10.5 Type 1 diabetes mellitus with peripheral circulatory complications,E10.6 Type 1 diabetes mellitus with other specified complications,E10.7 Type 1 diabetes mellitus with multiple complications,E10.8 Type 1 diabetes mellitus with unspecified complications,E10.9 Type 1 diabetes mellitus without complications,E11 Type 2 diabetes mellitus,E11.0 Type 2 diabetes mellitus with coma,E11.1 Type 2 diabetes mellitus with ketoacidosis,E11.2 Type 2 diabetes mellitus with renal complications,E11.3 Type 2 diabetes mellitus with ophthalmic complications,E11.4 Type 2 diabetes mellitus with neurological complications,E11.5 Type 2 diabetes mellitus with peripheral circulatory complications,E11.6 Type 2 diabetes mellitus with other specified complications,E11.7 Type 2 diabetes mellitus with multiple complications,E11.8 Type 2 diabetes mellitus with unspecified complications,E11.9 Type 2 diabetes mellitus without complications,E12 Malnutrition-related diabetes mellitus,E12.0 Malnutrition-related diabetes mellitus with coma,E12.1 Malnutrition-related diabetes mellitus with ketoacidosis,E12.2 Malnutrition-related diabetes mellitus with renal complications,E12.3 Malnutrition-related diabetes mellitus with ophthalmic complications,E12.4 Malnutrition-related diabetes mellitus with neurological complications,E12.5 Malnutrition-related diabetes mellitus with peripheral circulatory complications,E12.6 Malnutrition-related diabetes mellitus with other specified complications,E12.7 Malnutrition-related diabetes mellitus with multiple complications,E12.8 Malnutrition-related diabetes mellitus with with unspecified complications,E12.9 Malnutrition-related diabetes mellitus without complications,E13 Other specified diabetes mellitus,E13.0 Other specified diabetes mellitus with coma,E13.1 Other specified diabetes mellitus with ketoacidosis,E13.2 Other specified diabetes mellitus with renal complications,E13.3 Other specified diabetes mellitus with ophthalmic complications,E13.4 Other specified diabetes mellitus with neurological complications,E13.5 Other specified diabetes mellitus with peripheral circulatory complications,E13.6 Other specified diabetes mellitus with other specified complications,E13.7 Other specified diabetes mellitus with multiple complications,E13.8 Other specified diabetes mellitus with unspecified complications,E13.9 Other specified diabetes mellitus without complications,E14 Unspecified diabetes mellitus,E14.0 Unspecified diabetes mellitus with coma,E14.1 Unspecified diabetes mellitus with ketoacidosis,E14.2 Unspecified diabetes mellitus with renal complications,E14.3 Unspecified diabetes mellitus with ophthalmic complications,E14.4 Unspecified diabetes mellitus with neurological complications,E14.5 Unspecified diabetes mellitus with peripheral circulatory complications,E14.6 Unspecified diabetes mellitus with other specified complications,E14.7 Unspecified diabetes mellitus with multiple complications,E14.8 Unspecified diabetes mellitus with unspecified complications,E14.9 Unspecified diabetes mellitus without complications,E15 Nondiabetic hypoglycaemic coma,E15-E16 Other disorders of glucose regulation and pancreatic internal secretion,E16 Other disorders of pancreatic internal secretion,E16.0 Other disorders of pancreatic internal secretion - Drug-induced hypoglycaemia without coma,E16.1 Other hypoglycaemia,""E16.2 Other disorders of pancreatic internal secretion - Hypoglycaemia, unspecified"",E16.3 Increased secretion of glucagon,E16.4 Abnormal secretion of gastrin,E16.8 Other specified disorders of pancreatic internal secretion,""E16.9 Disorder of pancreatic internal secretion, unspecified"",E20 Hypoparathyroidism,E20-E35 Disorders of other endocrine glands,E20.0 Idiopathic hypoparathyroidism,E20.1 Pseudohypoparathyroidism,E20.8 Other hypoparathyroidism,""E20.9 Hypoparathyroidism, unspecified"",E21 Hyperparathyroidism and other disorders of parathyroid gland,E21.0 Primary hyperparathyroidism,""E21.1 Secondary hyperparathyroidism, not elsewhere classified"",E21.2 Other hyperparathyroidism,""E21.3 Hyperparathyroidism, unspecified"",E21.4 Other specified disorders of parathyroid gland,""E21.5 Disorder of parathyroid gland, unspecified"",E22 Hyperfunction of pituitary gland,E22.0 Acromegaly and pituitary gigantism,E22.1 Hyperfunction of pituitary gland - Hyperprolactinaemia,E22.2 Syndrome of inappropriate secretion of antidiuretic hormone,E22.8 Other hyperfunction of pituitary gland,""E22.9 Hyperfunction of pituitary gland, unspecified"",E23 Hypofunction and other disorders of pituitary gland,E23.0 Hypofunction and other disorders of pituitary gland - Hypopituitarism,E23.1 Hypofunction and other disorders of pituitary gland - Drug-induced hypopituitarism,E23.2 Hypofunction and other disorders of pituitary gland - Diabetes insipidus,""E23.3 Hypofunction and other disorders of pituitary gland - Hypothalamic dysfunction, not elsewhere classified"",E23.6 Other disorders of pituitary gland,""E23.7 Disorder of pituitary gland, unspecified"",E24 Cushing syndrome,E24.0 Pituitary-dependent Cushing disease,E24.1 Nelson syndrome,E24.2 Drug-induced Cushing syndrome,E24.3 Ectopic ACTH syndrome,E24.4 Alcohol-induced pseudo-Cushing syndrome,E24.8 Other Cushing syndrome,""E24.9 Cushing syndrome, unspecified"",E25 Adrenogenital disorders,E25.0 Congenital adrenogenital disorders associated with enzyme deficiency,E25.8 Other adrenogenital disorders,""E25.9 Adrenogenital disorder, unspecified"",E26 Hyperaldosteronism,E26.0 Primary hyperaldosteronism,E26.1 Secondary hyperaldosteronism,E26.8 Other hyperaldosteronism,""E26.9 Hyperaldosteronism, unspecified"",E27 Other disorders of adrenal gland,E27.0 Other adrenocortical overactivity,E27.1 Other disorders of adrenal gland - Primary adrenocortical insufficiency,E27.2 Other disorders of adrenal gland - Addisonian crisis,E27.3 Other disorders of adrenal gland - Drug-induced adrenocortical insufficiency,E27.4 Other and unspecified adrenocortical insufficiency,E27.5 Other disorders of adrenal gland - Adrenomedullary hyperfunction,E27.8 Other specified disorders of adrenal gland,""E27.9 Disorder of adrenal gland, unspecified"",E28 Ovarian dysfunction,E28.0 Ovarian dysfunction - Estrogen excess,E28.1 Ovarian dysfunction - Androgen excess,E28.2 Polycystic ovarian syndrome,E28.3 Primary ovarian failure,E28.8 Other ovarian dysfunction,""E28.9 Ovarian dysfunction, unspecified"",E29 Testicular dysfunction,E29.0 Testicular hyperfunction,E29.1 Testicular hypofunction,E29.8 Other testicular dysfunction,""E29.9 Testicular dysfunction, unspecified"",""E30 Disorders of puberty, not elsewhere classified"",E30.0 Delayed puberty,E30.1 Precocious puberty,E30.8 Other disorders of puberty,""E30.9 Disorder of puberty, unspecified"",E31 Polyglandular dysfunction,E31.0 Autoimmune polyglandular failure,E31.1 Polyglandular hyperfunction,E31.8 Other polyglandular dysfunction,""E31.9 Polyglandular dysfunction, unspecified"",E32 Diseases of thymus,E32.0 Persistent hyperplasia of thymus,E32.1 Abscess of thymus,E32.8 Other diseases of thymus,""E32.9 Disease of thymus, unspecified"",E34 Other endocrine disorders,E34.0 Other endocrine disorders - Carcinoid syndrome,E34.1 Other hypersecretion of intestinal hormones,""E34.2 Other endocrine disorders - Ectopic hormone secretion, not elsewhere classified"",""E34.3 Other endocrine disorders - Short stature, not elsewhere classified"",E34.4 Other endocrine disorders - Constitutional tall stature,E34.5 Other endocrine disorders - Androgen resistance syndrome,E34.8 Other specified endocrine disorders,""E34.9 Endocrine disorder, unspecified"",E35 Disorders of endocrine glands in diseases classified elsewhere,E35.0 Disorders of thyroid gland in diseases classified elsewhere,E35.1 Disorders of adrenal glands in diseases classified elsewhere,E35.8 Disorders of other endocrine glands in diseases classified elsewhere,E40 Kwashiorkor,E40-E46 Malnutrition,E41 Nutritional marasmus,E42 Marasmic kwashiorkor,E43 Unspecified severe protein-energy malnutrition,E44 Protein-energy malnutrition of moderate and mild degree,E44.0 Moderate protein-energy malnutrition,E44.1 Mild protein-energy malnutrition,E45 Retarded development following protein-energy malnutrition,E46 Unspecified protein-energy malnutrition,E50 Vitamin A deficiency,E50-E64 Other nutritional deficiencies,E50.0 Vitamin A deficiency with conjunctival xerosis,E50.1 Vitamin A deficiency with Bitot spot and conjunctival xerosis,E50.2 Vitamin A deficiency with corneal xerosis,E50.3 Vitamin A deficiency with corneal ulceration and xerosis,E50.4 Vitamin A deficiency with keratomalacia,E50.5 Vitamin A deficiency with night blindness,E50.6 Vitamin A deficiency with xerophthalmic scars of cornea,E50.7 Other ocular manifestations of vitamin A deficiency,E50.8 Other manifestations of vitamin A deficiency,""E50.9 Vitamin A deficiency, unspecified"",E51 Thiamine deficiency,E51.1 Thiamine deficiency - Beriberi,E51.2 Thiamine deficiency - Wernicke encephalopathy,E51.8 Other manifestations of thiamine deficiency,""E51.9 Thiamine deficiency, unspecified"",E52 Niacin deficiency [pellagra],E53 Deficiency of other B group vitamins,E53.0 Riboflavin deficiency,E53.1 Pyridoxine deficiency,E53.8 Deficiency of other specified B group vitamins,""E53.9 Vitamin B deficiency, unspecified"",E54 Ascorbic acid deficiency,E55 Vitamin D deficiency,""E55.0 Vitamin D deficiency - Rickets, active"",""E55.9 Vitamin D deficiency, unspecified"",E56 Other vitamin deficiencies,E56.0 Deficiency of vitamin E,E56.1 Deficiency of vitamin K,E56.8 Deficiency of other vitamins,""E56.9 Vitamin deficiency, unspecified"",E58 Dietary calcium deficiency,E59 Dietary selenium deficiency,E60 Dietary zinc deficiency,E61 Deficiency of other nutrient elements,E61.0 Copper deficiency,E61.1 Iron deficiency,E61.2 Magnesium deficiency,E61.3 Manganese deficiency,E61.4 Chromium deficiency,E61.5 Molybdenum deficiency,E61.6 Vanadium deficiency,E61.7 Deficiency of multiple nutrient elements,E61.8 Deficiency of other specified nutrient elements,""E61.9 Deficiency of nutrient element, unspecified"",E63 Other nutritional deficiencies,E63.0 Other nutritional deficiencies - Essential fatty acid [EFA] deficiency,E63.1 Other nutritional deficiencies - Imbalance of constituents of food intake,E63.8 Other specified nutritional deficiencies,""E63.9 Nutritional deficiency, unspecified"",E64 Sequelae of malnutrition and other nutritional deficiencies,E64.0 Sequelae of protein-energy malnutrition,E64.1 Sequelae of vitamin A deficiency,E64.2 Sequelae of vitamin C deficiency,E64.3 Sequelae of rickets,E64.8 Sequelae of other nutritional deficiencies,E64.9 Sequelae of unspecified nutritional deficiency,E65 Localized adiposity,E65-E68 Obesity and other hyperalimentation,E66 Obesity,E66.0 Obesity due to excess calories,E66.1 Drug-induced obesity,E66.2 Extreme obesity with alveolar hypoventilation,E66.8 Other obesity,""E66.9 Obesity, unspecified"",E67 Other hyperalimentation,E67.0 Other hyperalimentation - Hypervitaminosis A,E67.1 Other hyperalimentation - Hypercarotenaemia,E67.2 Other hyperalimentation - syndrome,E67.3 Other hyperalimentation - Hypervitaminosis D,E67.8 Other specified hyperalimentation,E68 Sequelae of hyperalimentation,E70 Disorders of aromatic amino-acid metabolism,E70-E90 Metabolic disorders,E70.0 Disorders of aromatic amino-acid metabolism - Classical phenylketonuria,E70.1 Disorders of aromatic amino-acid metabolism - Other hyperphenylalaninaemias,E70.2 Disorders of tyrosine metabolism,E70.3 Disorders of aromatic amino-acid metabolism - Albinism,E70.8 Other disorders of aromatic amino-acid metabolism,""E70.9 Disorder of aromatic amino-acid metabolism, unspecified"",E71 Disorders of branched-chain amino-acid metabolism and fatty-acid metabolism,E71.0 Disorders of branched-chain amino-acid metabolism and fatty-acid metabolism - Maple-syrup-urine disease,E71.1 Other disorders of branched-chain amino-acid metabolism,""E71.2 Disorder of branched-chain amino-acid metabolism, unspecified"",E71.3 Disorders of fatty-acid metabolism,E72 Other disorders of amino-acid metabolism,E72.0 Disorders of amino-acid transport,E72.1 Disorders of sulfur-bearing amino-acid metabolism,E72.2 Disorders of urea cycle metabolism,E72.3 Disorders of lysine and hydroxylysine metabolism,E72.4 Disorders of ornithine metabolism,E72.5 Disorders of glycine metabolism,E72.8 Other specified disorders of amino-acid metabolism,""E72.9 Disorder of amino-acid metabolism, unspecified"",E73 Lactose intolerance,E73.0 Lactose intolerance - Congenital lactase deficiency,E73.1 Lactose intolerance - Secondary lactase deficiency,E73.8 Other lactose intolerance,""E73.9 Lactose intolerance, unspecified"",E74 Other disorders of carbohydrate metabolism,E74.0 Other disorders of carbohydrate metabolism - Glycogen storage disease,E74.1 Disorders of fructose metabolism,E74.2 Disorders of galactose metabolism,E74.3 Other disorders of intestinal carbohydrate absorption,E74.4 Disorders of pyruvate metabolism and gluconeogenesis,E74.8 Other specified disorders of carbohydrate metabolism,""E74.9 Disorder of carbohydrate metabolism, unspecified"",E75 Disorders of sphingolipid metabolism and other lipid storage disorders,E75.0 Disorders of sphingolipid metabolism and other lipid storage disorders - gangliosidosis,E75.1 Other gangliosidosis,E75.2 Other sphingolipidosis,""E75.3 Sphingolipidosis, unspecified"",E75.4 Neuronal ceroid lipofuscinosis,E75.5 Other lipid storage disorders,""E75.6 Lipid storage disorder, unspecified"",E76 Disorders of glycosaminoglycan metabolism,""E76.0 Disorders of glycosaminoglycan metabolism - Mucopolysaccharidosis, type I"",""E76.1 Disorders of glycosaminoglycan metabolism - Mucopolysaccharidosis, type II"",E76.2 Disorders of glycosaminoglycan metabolism - Other mucopolysaccharidoses,""E76.3 Disorders of glycosaminoglycan metabolism - Mucopolysaccharidosis, unspecified"",E76.8 Other disorders of glucosaminoglycan metabolism,""E76.9 Disorder of glucosaminoglycan metabolism, unspecified"",E77 Disorders of glycoprotein metabolism,E77.0 Defects in post-translational modification of lysosomal enzymes,E77.1 Defects in glycoprotein degradation,E77.8 Other disorders of glycoprotein metabolism,""E77.9 Disorder of glycoprotein metabolism, unspecified"",E78 Disorders of lipoprotein metabolism and other lipidaemias,E78.0 Disorders of lipoprotein metabolism and other lipidaemias - Pure hypercholesterolaemia,E78.1 Disorders of lipoprotein metabolism and other lipidaemias - Pure hyperglyceridaemia,E78.2 Disorders of lipoprotein metabolism and other lipidaemias - Mixed hyperlipidaemia,E78.3 Disorders of lipoprotein metabolism and other lipidaemias - Hyperchylomicronaemia,E78.4 Other hyperlipidaemia,""E78.5 Disorders of lipoprotein metabolism and other lipidaemias - Hyperlipidaemia, unspecified"",E78.6 Lipoprotein deficiency,E78.8 Other disorders of lipoprotein metabolism,""E78.9 Disorder of lipoprotein metabolism, unspecified"",E79 Disorders of purine and pyrimidine metabolism,E79.0 Hyperuricaemia without signs of inflammatory arthritis and tophaceous disease,E79.1 Disorders of purine and pyrimidine metabolism - Lesch-Nyhan syndrome,E79.8 Other disorders of purine and pyrimidine metabolism,""E79.9 Disorder of purine and pyrimidine metabolism, unspecified"",E80 Disorders of porphyrin and bilirubin metabolism,E80.0 Disorders of porphyrin and bilirubin metabolism - Hereditary erythropoietic porphyria,E80.1 Disorders of porphyrin and bilirubin metabolism - Porphyria cutanea tarda,E80.2 Disorders of porphyrin and bilirubin metabolism - Other porphyria,E80.3 Defects of catalase and peroxidase,E80.4 Disorders of porphyrin and bilirubin metabolism - Gilbert syndrome,E80.5 Disorders of porphyrin and bilirubin metabolism - Crigler-Najjar syndrome,E80.6 Other disorders of bilirubin metabolism,""E80.7 Disorder of bilirubin metabolism, unspecified"",E83 Disorders of mineral metabolism,E83.0 Disorders of copper metabolism,E83.1 Disorders of iron metabolism,E83.2 Disorders of zinc metabolism,E83.3 Disorders of phosphorus metabolism and phosphatases,E83.4 Disorders of magnesium metabolism,E83.5 Disorders of calcium metabolism,E83.8 Other disorders of mineral metabolism,""E83.9 Disorder of mineral metabolism, unspecified"",E84 Cystic fibrosis,E84.0 Cystic fibrosis with pulmonary manifestations,E84.1 Cystic fibrosis with intestinal manifestations,E84.8 Cystic fibrosis with other manifestations,""E84.9 Cystic fibrosis, unspecified"",E85 Amyloidosis,E85.0 Non-neuropathic heredofamilial amyloidosis,E85.1 Neuropathic heredofamilial amyloidosis,""E85.2 Heredofamilial amyloidosis, unspecified"",E85.3 Secondary systemic amyloidosis,E85.4 Organ-limited amyloidosis,E85.8 Other amyloidosis,""E85.9 Amyloidosis, unspecified"",E86 Volume depletion,""E87 Other disorders of fluid, electrolyte and acid-base balance"",E87.0 Hyperosmolality and hypernatraemia,E87.1 Hypo-osmolality and hyponatraemia,""E87.2 Other disorders of fluid, electrolyte and acid-base balance - Acidosis"",""E87.3 Other disorders of fluid, electrolyte and acid-base balance - Alkalosis"",E87.4 Mixed disorder of acid-base balance,""E87.5 Other disorders of fluid, electrolyte and acid-base balance - Hyperkalaemia"",""E87.6 Other disorders of fluid, electrolyte and acid-base balance - Hypokalaemia"",E87.7 Fluid overload,""E87.8 Other disorders of electrolyte and fluid balance, not elsewhere classified"",E88 Other metabolic disorders,""E88.0 Disorders of plasma-protein metabolism, not elsewhere classified"",""E88.1 Other metabolic disorders - Lipodystrophy, not elsewhere classified"",""E88.2 Other metabolic disorders - Lipomatosis, not elsewhere classified"",E88.3 Other metabolic disorders - Tumour lysis syndrome,E88.8 Other specified metabolic disorders,""E88.9 Metabolic disorder, unspecified"",""E89 Postprocedural endocrine and metabolic disorders, not elsewhere classified"",E89.0 Postprocedural hypothyroidism,E89.1 Postprocedural hypoinsulinaemia,E89.2 Postprocedural hypoparathyroidism,E89.3 Postprocedural hypopituitarism,E89.4 Postprocedural ovarian failure,E89.5 Postprocedural testicular hypofunction,E89.6 Postprocedural adrenocortical(-medullary) hypofunction,E89.8 Other postprocedural endocrine and metabolic disorders,""E89.9 Postprocedural endocrine and metabolic disorder, unspecified"",E90 Nutritional and metabolic disorders in diseases classified elsewhere,F00 Dementia in Alzheimer disease,""F00-F09 Organic, including symptomatic, mental disorders"",F00.0 Dementia in Alzheimer disease with early onset,F00.1 Dementia in Alzheimer disease with late onset,""F00.2 Dementia in Alzheimer disease, atypical or mixed type"",""F00.9 Dementia in Alzheimer disease, unspecified"",F01 Vascular dementia,F01.0 Vascular dementia of acute onset,F01.1 Multi-infarct dementia,F01.2 Subcortical vascular dementia,F01.3 Mixed cortical and subcortical vascular dementia,F01.8 Other vascular dementia,""F01.9 Vascular dementia, unspecified"",F02 Dementia in other diseases classified elsewhere,F02.0 Dementia in Pick disease,F02.1 Dementia in Creutzfeldt-Jakob disease,F02.2 Dementia in Huntington disease,F02.3 Dementia in Parkinson disease,F02.4 Dementia in human immunodeficiency virus [HIV] disease,F02.8 Dementia in other specified diseases classified elsewhere,F03 Unspecified dementia,""F04 Organic amnesic syndrome, not induced by alcohol and other psychoactive substances"",""F05 Delirium, not induced by alcohol and other psychoactive substances"",""F05.0 Delirium not superimposed on dementia, so described"",F05.1 Delirium superimposed on dementia,F05.8 Other delirium,""F05.9 Delirium, unspecified"",F06 Other mental disorders due to brain damage and dysfunction and to physical disease,F06.0 Other mental disorders due to brain damage and dysfunction and to physical disease - Organic hallucinosis,F06.1 Organic catatonic disorder,F06.2 Other mental disorders due to brain damage and dysfunction and to physical disease - Organic delusional [schizophrenia-like] disorder,F06.3 Organic mood [affective] disorders,F06.4 Other mental disorders due to brain damage and dysfunction and to physical disease - Organic anxiety disorder,F06.5 Other mental disorders due to brain damage and dysfunction and to physical disease - Organic dissociative disorder,F06.6 Other mental disorders due to brain damage and dysfunction and to physical disease - Organic emotionally labile [asthenic] disorder,F06.7 Other mental disorders due to brain damage and dysfunction and to physical disease - Mild cognitive disorder,F06.8 Other specified mental disorders due to brain damage and dysfunction and to physical disease,F06.9 Unspecified mental disorder due to brain damage and dysfunction and to physical disease,""F07 Personality and behavioural disorders due to brain disease, damage and dysfunction"",F07.0 Organic personality disorder,""F07.1 Personality and behavioural disorders due to brain disease, damage and dysfunction - Postencephalitic syndrome"",""F07.2 Personality and behavioural disorders due to brain disease, damage and dysfunction - Postconcussional syndrome"",""F07.8 Other organic personality and behavioural disorders due to brain disease, damage and dysfunction"",""F07.9 Unspecified organic personality and behavioural disorder due to brain disease, damage and dysfunction"",F09 Unspecified organic or symptomatic mental disorder,F10 Mental and behavioural disorders due to use of alcohol,F10-F19 Mental and behavioural disorders due to psychoactive substance use,F11 Mental and behavioural disorders due to use of opioids,F12 Mental and behavioural disorders due to use of cannabinoids,F13 Mental and behavioural disorders due to use of sedatives or hypnotics,F14 Mental and behavioural disorders due to use of cocaine,""F15 Mental and behavioural disorders due to use of other stimulants, including caffeine"",F16 Mental and behavioural disorders due to use of hallucinogens,F17 Mental and behavioural disorders due to use of tobacco,F18 Mental and behavioural disorders due to use of volatile solvents,F19 Mental and behavioural disorders due to multiple drug use and use of other psychoactive substances,F20 Schizophrenia,""F20-F29 Schizophrenia, schizotypal and delusional disorders"",F20.0 Paranoid schizophrenia,F20.1 Hebephrenic schizophrenia,F20.2 Catatonic schizophrenia,F20.3 Undifferentiated schizophrenia,F20.4 Schizophrenia - Post-schizophrenic depression,F20.5 Residual schizophrenia,F20.6 Simple schizophrenia,F20.8 Other schizophrenia,""F20.9 Schizophrenia, unspecified"",F21 Schizotypal disorder,F22 Persistent delusional disorders,F22.0 Delusional disorder,F22.8 Other persistent delusional disorders,""F22.9 Persistent delusional disorder, unspecified"",F23 Acute and transient psychotic disorders,F23.0 Acute polymorphic psychotic disorder without symptoms of schizophrenia,F23.1 Acute polymorphic psychotic disorder with symptoms of schizophrenia,F23.2 Acute schizophrenia-like psychotic disorder,F23.3 Other acute predominantly delusional psychotic disorders,F23.8 Other acute and transient psychotic disorders,""F23.9 Acute and transient psychotic disorder, unspecified"",F24 Induced delusional disorder,F25 Schizoaffective disorders,""F25.0 Schizoaffective disorder, manic type"",""F25.1 Schizoaffective disorder, depressive type"",""F25.2 Schizoaffective disorder, mixed type"",F25.8 Other schizoaffective disorders,""F25.9 Schizoaffective disorder, unspecified"",F28 Other nonorganic psychotic disorders,F29 Unspecified nonorganic psychosis,F30 Manic episode,F30-F39 Mood [affective] disorders,F30.0 Manic episode - Hypomania,F30.1 Manic episode - Mania without psychotic symptoms,F30.2 Manic episode - Mania with psychotic symptoms,F30.8 Other manic episodes,""F30.9 Manic episode, unspecified"",F31 Bipolar affective disorder,""F31.0 Bipolar affective disorder, current episode hypomanic"",""F31.1 Bipolar affective disorder, current episode manic without psychotic symptoms"",""F31.2 Bipolar affective disorder, current episode manic with psychotic symptoms"",""F31.3 Bipolar affective disorder, current episode mild or moderate depression"",""F31.4 Bipolar affective disorder, current episode severe depression without psychotic symptoms"",""F31.5 Bipolar affective disorder, current episode severe depression with psychotic symptoms"",""F31.6 Bipolar affective disorder, current episode mixed"",""F31.7 Bipolar affective disorder, currently in remission"",F31.8 Other bipolar affective disorders,""F31.9 Bipolar affective disorder, unspecified"",F32 Depressive episode,F32.0 Mild depressive episode,F32.1 Moderate depressive episode,F32.2 Severe depressive episode without psychotic symptoms,F32.3 Severe depressive episode with psychotic symptoms,F32.8 Other depressive episodes,""F32.9 Depressive episode, unspecified"",F33 Recurrent depressive disorder,""F33.0 Recurrent depressive disorder, current episode mild"",""F33.1 Recurrent depressive disorder, current episode moderate"",""F33.2 Recurrent depressive disorder, current episode severe without psychotic symptoms"",""F33.3 Recurrent depressive disorder, current episode severe with psychotic symptoms"",""F33.4 Recurrent depressive disorder, currently in remission"",F33.8 Other recurrent depressive disorders,""F33.9 Recurrent depressive disorder, unspecified"",F34 Persistent mood [affective] disorders,F34.0 Persistent mood [affective] disorders - Cyclothymia,F34.1 Persistent mood [affective] disorders - Dysthymia,F34.8 Other persistent mood [affective] disorders,""F34.9 Persistent mood [affective] disorder, unspecified"",F38 Other mood [affective] disorders,F38.0 Other single mood [affective] disorders,F38.1 Other recurrent mood [affective] disorders,F38.8 Other specified mood [affective] disorders,F39 Unspecified mood [affective] disorder,F40 Phobic anxiety disorders,""F40-F48 Neurotic, stress-related and somatoform disorders"",F40.0 Phobic anxiety disorders - Agoraphobia,F40.1 Phobic anxiety disorders - Social phobias,F40.2 Phobic anxiety disorders - Specific (isolated) phobias,F40.8 Other phobic anxiety disorders,""F40.9 Phobic anxiety disorder, unspecified"",F41 Other anxiety disorders,F41.0 Panic disorder [episodic paroxysmal anxiety],F41.1 Generalized anxiety disorder,F41.2 Mixed anxiety and depressive disorder,F41.3 Other mixed anxiety disorders,F41.8 Other specified anxiety disorders,""F41.9 Anxiety disorder, unspecified"",F42 Obsessive-compulsive disorder,F42.0 Obsessive-compulsive disorder - Predominantly obsessional thoughts or ruminations,F42.1 Obsessive-compulsive disorder - Predominantly compulsive acts [obsessional rituals],F42.2 Obsessive-compulsive disorder - Mixed obsessional thoughts and acts,F42.8 Other obsessive-compulsive disorders,""F42.9 Obsessive-compulsive disorder, unspecified"",""F43 Reaction to severe stress, and adjustment disorders"",F43.0 Acute stress reaction,F43.1 Post-traumatic stress disorder,F43.2 Adjustment disorders,F43.8 Other reactions to severe stress,""F43.9 Reaction to severe stress, unspecified"",F44 Dissociative [conversion] disorders,F44.0 Dissociative amnesia,F44.1 Dissociative fugue,F44.2 Dissociative stupor,F44.3 Trance and possession disorders,F44.4 Dissociative motor disorders,F44.5 Dissociative convulsions,F44.6 Dissociative anaesthesia and sensory loss,F44.7 Mixed dissociative [conversion] disorders,F44.8 Other dissociative [conversion] disorders,""F44.9 Dissociative [conversion] disorder, unspecified"",F45 Somatoform disorders,F45.0 Somatoform disorders - Somatization disorder,F45.1 Undifferentiated somatoform disorder,F45.2 Somatoform disorders - Hypochondriacal disorder,F45.3 Somatoform autonomic dysfunction,F45.4 Persistent somatoform pain disorder,F45.8 Other somatoform disorders,""F45.9 Somatoform disorder, unspecified"",F48 Other neurotic disorders,F48.0 Other neurotic disorders - Neurasthenia,F48.1 Other neurotic disorders - Depersonalization-derealization syndrome,F48.8 Other specified neurotic disorders,""F48.9 Neurotic disorder, unspecified"",F50 Eating disorders,F50-F59 Behavioural syndromes associated with physiological disturbances and physical factors,F50.0 Eating disorders - Anorexia nervosa,F50.1 Eating disorders - Atypical anorexia nervosa,F50.2 Eating disorders - Bulimia nervosa,F50.3 Eating disorders - Atypical bulimia nervosa,F50.4 Overeating associated with other psychological disturbances,F50.5 Eating disorders - Vomiting associated with other psychological disturbances,F50.8 Other eating disorders,""F50.9 Eating disorder, unspecified"",F51 Nonorganic sleep disorders,F51.0 Nonorganic insomnia,F51.1 Nonorganic hypersomnia,F51.2 Nonorganic disorder of the sleep-wake schedule,F51.3 Sleepwalking [somnambulism],F51.4 Sleep terrors [night terrors],F51.5 Nonorganic sleep disorders - Nightmares,F51.8 Other nonorganic sleep disorders,""F51.9 Nonorganic sleep disorder, unspecified"",""F52 Sexual dysfunction, not caused by organic disorder or disease"",F52.0 Lack or loss of sexual desire,F52.1 Sexual aversion and lack of sexual enjoyment,""F52.2 Sexual dysfunction, not caused by organic disorder or disease - Failure of genital response"",F52.3 Orgasmic dysfunction,""F52.4 Sexual dysfunction, not caused by organic disorder or disease - Premature ejaculation"",F52.5 Nonorganic vaginismus,F52.6 Nonorganic dyspareunia,F52.7 Excessive sexual drive,""F52.8 Other sexual dysfunction, not caused by organic disorder or disease"",""F52.9 Unspecified sexual dysfunction, not caused by organic disorder or disease"",""F53 Mental and behavioural disorders associated with the puerperium, not elsewhere classified"",""F53.0 Mild mental and behavioural disorders associated with the puerperium, not elsewhere classified"",""F53.1 Severe mental and behavioural disorders associated with the puerperium, not elsewhere classified"",""F53.8 Other mental and behavioural disorders associated with the puerperium, not elsewhere classified"",""F53.9 Puerperal mental disorder, unspecified"",F54 Psychological and behavioural factors associated with disorders or diseases classified elsewhere,F55 Abuse of non-dependence-producing substances,F59 Unspecified behavioural syndromes associated with physiological disturbances and physical factors,F60 Specific personality disorders,F60-F69 Disorders of adult personality and behaviour,F60.0 Paranoid personality disorder,F60.1 Schizoid personality disorder,F60.2 Dissocial personality disorder,F60.3 Emotionally unstable personality disorder,F60.4 Histrionic personality disorder,F60.5 Anankastic personality disorder,F60.6 Anxious [avoidant] personality disorder,F60.7 Dependent personality disorder,F60.8 Other specific personality disorders,""F60.9 Personality disorder, unspecified"",F61 Mixed and other personality disorders,""F62 Enduring personality changes, not attributable to brain damage and disease"",F62.0 Enduring personality change after catastrophic experience,F62.1 Enduring personality change after psychiatric illness,F62.8 Other enduring personality changes,""F62.9 Enduring personality change, unspecified"",F63 Habit and impulse disorders,F63.0 Habit and impulse disorders - Pathological gambling,F63.1 Habit and impulse disorders - Pathological fire-setting [pyromania],F63.2 Habit and impulse disorders - Pathological stealing [kleptomania],F63.3 Habit and impulse disorders - Trichotillomania,F63.8 Other habit and impulse disorders,""F63.9 Habit and impulse disorder, unspecified"",F64 Gender identity disorders,F64.0 Gender identity disorders - Transsexualism,F64.1 Gender identity disorders - Dual-role transvestism,F64.2 Gender identity disorder of childhood,F64.8 Other gender identity disorders,""F64.9 Gender identity disorder, unspecified"",F65 Disorders of sexual preference,F65.0 Disorders of sexual preference - Fetishism,F65.1 Disorders of sexual preference - Fetishistic transvestism,F65.2 Disorders of sexual preference - Exhibitionism,F65.3 Disorders of sexual preference - Voyeurism,F65.4 Disorders of sexual preference - Paedophilia,F65.5 Disorders of sexual preference - Sadomasochism,F65.6 Multiple disorders of sexual preference,F65.8 Other disorders of sexual preference,""F65.9 Disorder of sexual preference, unspecified"",F66 Psychological and behavioural disorders associated with sexual development and orientation,F66.0 Sexual maturation disorder,F66.1 Egodystonic sexual orientation,F66.2 Sexual relationship disorder,F66.8 Other psychosexual development disorders,""F66.9 Psychosexual development disorder, unspecified"",F68 Other disorders of adult personality and behaviour,F68.0 Elaboration of physical symptoms for psychological reasons,""F68.1 Intentional production or feigning of symptoms or disabilities, either physical or psychological [factitious disorder]"",F68.8 Other specified disorders of adult personality and behaviour,F69 Unspecified disorder of adult personality and behaviour,F70 Mild mental retardation,F70-F79 Mental retardation,F71 Moderate mental retardation,F72 Severe mental retardation,F73 Profound mental retardation,F78 Other mental retardation,F79 Unspecified mental retardation,F80 Specific developmental disorders of speech and language,F80-F89 Disorders of psychological development,F80.0 Specific speech articulation disorder,F80.1 Expressive language disorder,F80.2 Receptive language disorder,F80.3 Acquired aphasia with epilepsy [Landau-Kleffner],F80.8 Other developmental disorders of speech and language,""F80.9 Developmental disorder of speech and language, unspecified"",F81 Specific developmental disorders of scholastic skills,F81.0 Specific reading disorder,F81.1 Specific spelling disorder,F81.2 Specific disorder of arithmetical skills,F81.3 Mixed disorder of scholastic skills,F81.8 Other developmental disorders of scholastic skills,""F81.9 Developmental disorder of scholastic skills, unspecified"",F82 Specific developmental disorder of motor function,F83 Mixed specific developmental disorders,F84 Pervasive developmental disorders,F84.0 Pervasive developmental disorders - Childhood autism,F84.1 Pervasive developmental disorders - Atypical autism,F84.2 Pervasive developmental disorders - Rett syndrome,F84.3 Pervasive developmental disorders - Other childhood disintegrative disorder,F84.4 Pervasive developmental disorders - Overactive disorder associated with mental retardation and stereotyped movements,F84.5 Pervasive developmental disorders - Asperger syndrome,F84.8 Other pervasive developmental disorders,""F84.9 Pervasive developmental disorder, unspecified"",F88 Other disorders of psychological development,F89 Unspecified disorder of psychological development,F90 Hyperkinetic disorders,F90-F98 Behavioural and emotional disorders with onset usually occurring in childhood and adolescence,F90.0 Hyperkinetic disorders - Disturbance of activity and attention,F90.1 Hyperkinetic conduct disorder,F90.8 Other hyperkinetic disorders,""F90.9 Hyperkinetic disorder, unspecified"",F91 Conduct disorders,F91.0 Conduct disorder confined to the family context,F91.1 Unsocialized conduct disorder,F91.2 Socialized conduct disorder,F91.3 Conduct disorders - Oppositional defiant disorder,F91.8 Other conduct disorders,""F91.9 Conduct disorder, unspecified"",F92 Mixed disorders of conduct and emotions,F92.0 Depressive conduct disorder,F92.8 Other mixed disorders of conduct and emotions,""F92.9 Mixed disorder of conduct and emotions, unspecified"",F93 Emotional disorders with onset specific to childhood,F93.0 Separation anxiety disorder of childhood,F93.1 Phobic anxiety disorder of childhood,F93.2 Social anxiety disorder of childhood,F93.3 Emotional disorders with onset specific to childhood - Sibling rivalry disorder,F93.8 Other childhood emotional disorders,""F93.9 Childhood emotional disorder, unspecified"",F94 Disorders of social functioning with onset specific to childhood and adolescence,F94.0 Disorders of social functioning with onset specific to childhood and adolescence - Elective mutism,F94.1 Reactive attachment disorder of childhood,F94.2 Disinhibited attachment disorder of childhood,F94.8 Other childhood disorders of social functioning,""F94.9 Childhood disorder of social functioning, unspecified"",F95 Tic disorders,F95.0 Transient tic disorder,F95.1 Chronic motor or vocal tic disorder,F95.2 Combined vocal and multiple motor tic disorder [de la Tourette],F95.8 Other tic disorders,""F95.9 Tic disorder, unspecified"",F98 Other behavioural and emotional disorders with onset usually occurring in childhood and adolescence,F98.0 Other behavioural and emotional disorders with onset usually occurring in childhood and adolescence - Nonorganic enuresis,F98.1 Other behavioural and emotional disorders with onset usually occurring in childhood and adolescence - Nonorganic encopresis,F98.2 Feeding disorder of infancy and childhood,F98.3 Pica of infancy and childhood,F98.4 Stereotyped movement disorders,F98.5 Stuttering [stammering],F98.6 Cluttering,F98.8 Other specified behavioural and emotional disorders with onset usually occurring in childhood and adolescence,F98.9 Unspecified behavioural and emotional disorders with onset usually occurring in childhood and adolescence,""F99 Mental disorder, not otherwise specified"",F99-F99 Unspecified mental disorder,""IV Endocrine, nutritional and metabolic diseases"",V Mental and behavioural disorders","BASE OF TONGUE,""UTERUS, NOS"",""Base of tongue, NOS"",""Uterus, NOS""","""Carcinoma, metastatic, NOS"",Carcinomatosis",True,linkage possibility description cohort 1,Closed dataset,Release description cohort 1,Linkage options cohort 1,Test lead organisation 1,"general research use,health or medical or biomedical research","genetic studies only,publication required,ethics approval required",Data access conditions description text cohort 1 - yes fee,True,https://doi.org/10.1093/ije/dyz227,"https://doi.org/10.5694/mja12.10698,https://doi.org/10.1002/ijc.32791",Broad consent,"This is the funding statement for cohort 1. It's not too long but covers more than one line, I think, particularly if I fill it up with blah blah blah (check for ""until now"" at the end) Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum UNTIL NOW","This is the acknowledgement statement for cohort 1. It's not too long but covers more than one line, I think, particularly if I fill it up with blah blah blah (check for ""until now"" at the end) Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum UNTIL NOW",Some supplementary information for cohort 1.,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +testCohort2,https://pid-for-testcohort2.org,acronym for test cohort 2,Name for test cohort 2,Local name for test cohort 2,"test, cohort2, Molgenis, testing",https://www.molgenis.org,test lead organisation 2,id for test additional organisation 2,"This is the Test cohort 2. It has ""other"" options where possible. No end year, so ""ongoing"". Design paper = Birth of a cohort — the first 20 years of the Raine study, publications = other papers. No to data access fee. Here we have some extra text to check the read less / read more functionality on the cohort detail page.",molgenis-support@umcg.nl,Other type,Cohort 2 other type,Longitudinal,Description of the design used for cohort 2,,,Retrospective,,,100,50,United Kingdom of Great Britain and Northern Ireland (the),Bradford,"Prenatal,Child (2-12 years)",Age of majority inclusion criterion,Other inclusion criteria cohort 2,1955,,"F10 Mental and behavioural disorders due to use of alcohol,F11 Mental and behavioural disorders due to use of opioids","KIDNEY,""Kidney, NOS""",Carcinomatosis,False,linkage possibility description cohort 2,Annually,Release description cohort 2,Linkage options cohort 2,,general research use,publication required,Data access conditions description text cohort 2 - no fee,False,https://doi.org/10.5694/mja12.10698,"https://doi.org/10.2337/dc21-2662,https://doi.org/10.1186/s12916-023-02769-y",Study specific consent,"This is the funding statement for cohort 2. It's not too long but covers more than one line, I think, particularly if I fill it up with blah blah blah (check for ""until now"" at the end) Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum UNTIL NOW.","This is the acknowledgements text for cohort 2. Again I need to fill it up to test - check that ""until now"" has been shown at the bottom Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum UNTIL NOW",Some supplementary information for cohort 2 blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah UNTIL NOW,Cohort study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +EUChildNetwork,,EUChildNetwork,The EU Child Cohort Network,,,https://lifecycle-project.eu/for-scientists/the-eu-child-cohort-network/,,,"The EU Child Cohort Network: A Europe-wide network of cohort studies started in early life Cohort studies started from pregnancy or childhood give the unique opportunity to relate early-life stressors with variation in development, health and disease throughout the life course. Moreover, advanced analytical approaches used in observational studies can help identify causality and potential for early-life interventions on factors that cannot be easily studied in experimental settings. These factors include socioeconomic circumstances, migration, urban environment as well as lifestyle-related determinants and will be given particular focus in our project. We will set up a European pregnancy and childhood cohort, the EU Child Cohort Network, which brings together extensive existing data from more than 250,000 European children and their parents. These cohorts enable studies in multiple generations because of their detailed phenotyping of both parents and children. The network will bring together existing successful multidisciplinary cohort studies, which all started before or during pregnancy or in childhood. Together, they span the full life course and contain detailed phenotypical information as well as biological samples. The EU Child Cohort Network will optimize exploitation of more than 40 available cohort resources in Europe and will enable innovative research on identification of novel markers of early-life stressors related to health trajectories throughout the full life cycle. Although LifeCycle partners and their cohorts have taken the initiative for this unique collaboration, the network is open to other partners with population-based cohorts started in early life, specifically those from Eastern and Southern Europe. To ensure that this will be a Europe-wide, open and sustainable network, which exceeds the LifeCycle Project duration, we will introduce a data sharing platform taking account of ethical, legal and societal implications, we will organize yearly meetings open to all European pregnancy and child cohort researchers and we will start a fellowship programme for exchange between these European cohorts.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Network,harmonization,,,,"NOMA,RS2,RS1,RS3,KANC,ALSPAC,GECKO,GenR","LifeCycle_CDM,LongITools_CDM","LifeCycle,ATHLETE,LongITools","LifeCycle,ATHLETE,LongITools,NOMA,RS2,RS1,RS3,KANC,ALSPAC,GECKO,GenR",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +OOM,,OOM,OOM,,,,"UMCU,GSK","PHARMO.I,UoD,LAREB,GSK,USWAN,UMCU,UMCG,ULST,UPP,UB,KUL,NP,SAN,FISABIO,LIPRE,DHL.I,BBMRI-ERIC,JP,CHUT,FERR,SIDIAP.I,TAK,CNR-IFC,ARS.TOSCANA,MLT.I,AU,AEMPS,OVGU,UM,UKZN,IHD,UCB,UiO","The main goal of OOM is to establish a trusted ecosystem that can efficiently, systematically, and in an ethically responsible manner, generate and disseminate reliable evidence-based information regarding effects of medications used during pregnancy and breastfeeding to women and their healthcare providers. This will be achieved by generating, cataloguing, linking, collecting and analysing data from pharmacovigilance, modelling, routine healthcare, breastmilk samples through a large network.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Network,,,"ABL,DHL,EUROCAT NNL","COD_FARMACI_SPF,AP,ARS_PS,EXE,PHT,SEA,SPA,VCN,SALM,MBRN,RMR","GECKO,GenR,RS1,RS2,RS3",OOM_CDM,"LifeCycle,ATHLETE","LifeCycle,ATHLETE,GECKO,GenR,RS1,RS2,RS3,ABL,DHL,EUROCAT NNL,COD_FARMACI_SPF,AP,ARS_PS,EXE,PHT,SEA,SPA,VCN,SALM,MBRN,RMR",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +LifeCycle,,LifeCycle,The LifeCycle Project,,,https://lifecycle-project.eu/,,,"A Europe-wide network of cohort studies started in early life Cohort studies started from pregnancy or childhood give the unique opportunity to relate early-life stressors with variation in development, health and disease throughout the life course. Moreover, advanced analytical approaches used in observational studies can help identify causality and potential for early-life interventions on factors that cannot be easily studied in experimental settings. These factors include socioeconomic circumstances, migration, urban environment as well as lifestyle-related determinants and will be given particular focus in our project. We will set up a European pregnancy and childhood cohort, the EU Child Cohort Network, which brings together extensive existing data from more than 250,000 European children and their parents. These cohorts enable studies in multiple generations because of their detailed phenotyping of both parents and children. The network will bring together existing successful multidisciplinary cohort studies, which all started before or during pregnancy or in childhood. Together, they span the full life course and contain detailed phenotypical information as well as biological samples. The EU Child Cohort Network will optimize exploitation of more than 40 available cohort resources in Europe and will enable innovative research on identification of novel markers of early-life stressors related to health trajectories throughout the full life cycle. Although LifeCycle partners and their cohorts have taken the initiative for this unique collaboration, the network is open to other partners with population-based cohorts started in early life, specifically those from Eastern and Southern Europe. To ensure that this will be a Europe-wide, open and sustainable network, which exceeds the LifeCycle Project duration, we will introduce a data sharing platform taking account of ethical, legal and societal implications, we will organize yearly meetings open to all European pregnancy and child cohort researchers and we will start a fellowship programme for exchange between these European cohorts.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Network,,,,,"ELFE,GECKO,ALSPAC",LifeCycle_CDM,,"ELFE,GECKO,ALSPAC",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +ATHLETE,,ATHLETE,Advancing Tools for Human Early Lifecourse Exposome Research and Translation,,,https://athleteproject.eu/,,,"Children are particularly vulnerable to environmental hazards. The ATHLETE project will measure a wide range of environmental exposures (urban, chemical, lifestyle and social risk factors) during pregnancy, childhood, and adolescence. The project will then link this “early-life exposome” to children’s biological responses and cardiometabolic, respiratory, and mental health. The results will help us to better understand and prevent health damage from environmental agents from the earliest parts of the life course onward.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Network,h2020,,,,"DNBC,PELAGIE,G21,ELSPAC,BIB,GenR,Sepages,INMA,EDEN,MoBa,KANC,GenR Next",ATHLETE_CDM,,"DNBC,PELAGIE,G21,ELSPAC,BIB,GenR,Sepages,INMA,EDEN,MoBa,KANC,GenR Next",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +IPEC,,IPEC,International Psychosis Epidemiology Consortium,,,https://www.ipec-project.com/,UMCG,"UMCG,GGZ Drenthe,GGZ Friesland,Lentis Research,UCPH","There are many early psychosis cohorts in the world. Epidemiological research with these cohorts over the past decades has greatly increased the understanding of distribution and mechanisms of psychotic disorders. Carrying out cross-country comparisons on a larger scale is extremely costly. An alternative strategy is to pool the existing large amount of data from high-quality early psychosis studies at an individual patient level. This approach has multiple advantages: it allows for examining psychosis determinants with greater precision, also including rare exposures and outcomes, focusing on (long-term) follow-up, and making optimal use of already existing data. To achieve this, the International Psychosis Epidemiology Consortium (IPEC) has catalogued and harmonized data from early psychosis cohorts and set up a virtual databank. With this databank, multiple (epidemiological) studies within the scope of the following research question will be conducted: “What drives the course of functional, existential and clinical outcomes of (early) psychosis and how does the social and geographical context shape these patterns?”.",,,,,,,,,,,,,"Denmark,Netherlands (the)",,,,,2023,,,,,,,,,,,,,,,,,,"IPEC was supported by the 2020 SIRS Research Harmonization Group Award which included a grant in the amount of $5000 USD to Prof. Wim Veling and Prof. Craig Morgan; an internal MD-PhD research grant of the University Medical Center Groningen (grant number 18-41) to Vera Brink, MSc; a grant in the amount of 400,000 DKK of the Capital Regions Research council to Dr Nikolai Albert; and the participating institutions (Lentis Psychiatric Institute, GGZ Drenthe, GGZ Friesland, University Center Psychiatry of University Medical Center Groningen, Bispebjerg hospital, Psychiatric Hospital Risskov, and Psychiatric Centre Copenhagen).","IPEC wishes to acknowledge the services of all the study participants, staff, research groups, and institutions collaborating in IPEC, and of MOLGENIS and RoQua, who helped build and maintain the technical infrastructure.",,Network,harmonization,,,,PSYCONN,IPEC_CDM,,PSYCONN,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +LongITools,,LongITools,LongITools health & environment dynamics,,,https://longitools.org/,,,"LongITools is a European research project studying the interactions between the environment, lifestyle and health in determining the risks of chronic cardiovascular and metabolic diseases.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Network,h2020,,,,"NFBC1986,G21,DFBC,ALSPAC,EDEN,NOMA,ELFE,RS2,RS1,ENVIRONAGE,GenR",,,"NFBC1986,G21,DFBC,ALSPAC,EDEN,NOMA,ELFE,RS2,RS1,ENVIRONAGE,GenR",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +testNetwork2,https://pid-for-testnetwork2.org,acronym for test network2,name for test network2,,,https://www.molgenis.org,UMCG,"AMC,CYN",test description for new test network,,,,,,,,,,,,,"Germany,Netherlands (the)",,,,,1975,2010,,,,,,,,,,,,,,,https://doi.org/10.1016/S1473-3099(20)30873-2,,"test funding statement for test network - check that ""until now"" has been included blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah until now","test acknowledgements for test network - check that ""until now"" has been included blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah until now",,Network,EU4health - Prevention,"Funding,EU institutional research programme,Non-EU institutional research programme,EMA,National competent authority (NCAs),Other public funding (e.g. hospital or university),Non for-profit organisation (e.g. charity),Pharmaceutical company and other private sector,No external funding,Funding: Other",,"COD_FARMACI_SPF,SPECIALISTICA,AP","testCohort1,testCohort2",testNetwork1_CDM,,"testCohort1,testCohort2,COD_FARMACI_SPF,SPECIALISTICA,AP",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +testNetworkofNetworks,https://pid-for-testnetworkofnetworks.org,acronym for test network of networks,name for test network of networks,,,https://www.molgenis.org,UMCG,"AMC,CYN",test description for new test network,,,,,,,,,,,,,"Germany,Netherlands (the)",,,,,1975,2010,,,,,,,,,,,,,,,https://doi.org/10.1016/S1473-3099(20)30873-2,,"test funding statement for test network - check that ""until now"" has been included Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. until now","test acknowledgements for test network - check that ""until now"" has been included Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. until now",,Network,EU4health - Prevention,"Funding,EU institutional research programme,Non-EU institutional research programme,EMA,National competent authority (NCAs),Other public funding (e.g. hospital or university),Non for-profit organisation (e.g. charity),Pharmaceutical company and other private sector,No external funding,Funding: Other",,"COD_FARMACI_SPF,SPECIALISTICA,AP","testCohort3,testCohort1,testCohort2",testNetwork1_CDM,"testNetwork1,testNetwork2","testNetwork1,testNetwork2,testCohort3,testCohort1,testCohort2,COD_FARMACI_SPF,SPECIALISTICA,AP",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +testNetwork1,https://pid-for-testnetwork1.org,acronym for test network1,name for test network1,,,https://www.molgenis.org,UMCG,"AMC,CYN",test description for new test network,,,,,,,,,,,,,"Central African Republic (the),Chad",,,,,1975,2010,,,,,,,,,,,,,,,"https://doi.org/10.1016/S1473-3099(20)30873-2,https://doi.org/10.1136/bmjopen-2017-015867",,"test funding statement for test network - check that ""until now"" has been included Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. until now","test acknowledgements for test network - check that ""until now"" has been included Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. until now",,Network,EU4health - Prevention,"Funding,EU institutional research programme,Non-EU institutional research programme,EMA,National competent authority (NCAs),Other public funding (e.g. hospital or university),Non for-profit organisation (e.g. charity),Pharmaceutical company and other private sector,No external funding,Funding: Other",TestDataSourceID,"COD_FARMACI_SPF,SPECIALISTICA,AP","testCohort3,testCohort4,testCohort1,testCohort2",testNetwork1_CDM,,"testCohort3,testCohort4,testCohort1,testCohort2,TestDataSourceID,COD_FARMACI_SPF,SPECIALISTICA,AP",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +ADVANCE Coverage POC,,ADVANCE Coverage POC,ADVANCE POC Study Protocol - Testing new approaches to monitoring benefit/risk with pertussis vaccines as test case. Coverage rates of acellular and whole-cell pertussis-containing vaccines in preschool children,,,,SSI,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,"DHL,ABL,EUROCAT NNL",,testCohort1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +DRIVE 2019/20,,DRIVE 2019/20,"Brand-specific influenza vaccine effectiveness in Europe, season 2019/20",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,"DHL,ABL,EUROCAT NNL",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +PASS,,PASS,A prospective observational study to assess effectiveness of the training and risk minimisation measures recommended for the usage of the diagnostic agent NeuraCeqTM in the post-authorisation clinical situation: A post-authorisation safety study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +DAHLIA,,DAHLIA,A retrospective nationwide cohort study to investigate the treatment of type 2 diabetic patients in Finland,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +FinACAF,,FinACAF,Finnish AntiCoagulation in Atrial Fibrillation,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +OPTI,,OPTI,"Non-interventional, cross-sectional, multicenter study to describe the exacerbations profile of COPD patients Treated with ICS in a real-life primary care population in Spain.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +IPF,,IPF,Observational Analysis on the Socio-economic Impact of Idiopathic Pulmonary Fibrosis in Spain.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +LEMS,,LEMS,Lambert-Eaton Myasthenic Syndrome (LEMS) Registry,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +FEIBA-GO,,FEIBA-GO,FEIBA NF GLOBAL OUTCOME STUDY,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +ARISE,,ARISE,Aortic Replacement using Individualised Regenerative Allografts: Bridging the Therapeutic Gap,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,"DHL,ABL,EUROCAT NNL",,testCohort1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +INSPECT,,INSPECT,A retrospectIve chart review study evaluatiNg the longer-term effectiveneSs of darvadstrocel in PatiEnts who CompleTed ADMIRE-CD,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,"DHL,ABL,EUROCAT NNL",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +LEONARDO,,LEONARDO,"Utilization patterns, access to healthcare facilities and economic assessment of JAKi drugs used in rheumatoid arthritis patients in Tuscany",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +ACCESS,,ACCESS,vACcine Covid-19 monitoring readinESS,,,,UMCU,"PHARMO.I,UMCU,UM,LIPRE,JORDIGOL,UB","This listing includes the four different safety protocol templates to monitor COVID-19 vaccine safety. These protocols were prepared on request of EMA and have been reviewed by EMA and stakeholders. Protocols require finalization by the final users and are not conducted as such. This registration includes the following protocols: 1. Cohort event monitoring to assess safety of COVID-19 vaccines using patient reported events, a protocol template from the ACCESS project 2. Rapid assessment of COVID-19 vaccines safety concerns through electronic health records: a protocol template from the ACCESS project 3. Safety evaluation of COVID-19 vaccines through electronic health records: a protocol template from the ACCESS project 4. Safety Protocol for Hospital Case–Based Monitoring of Specific Adverse Events Following COVID-19 Vaccines: A Protocol Template from the ACCESS project Section 19 includes the template protocols. Word documents can be retrieved from study authors or PI. Section 19 includes the final ACCESS report with feasibility assessment",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,"DHL,ABL,EUROCAT NNL",,testCohort1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +THALIA,,THALIA,A retrospective cohort study to investigate the initiation and persistence of dual antiplatelet treatment after acute coronary syndrome in a Finnish setting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,,,testCohort2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +PERSEUS,,PERSEUS,Risk of subsequent cardiovascular events in patients discharged after myocardial infarction,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +SSc-ILD,,SSc-ILD,A Phase I trial to investigate the effect of nintedanib on the pharmacokinetics of a combination of ethinylestradiol and levonorgestrel in female patients with Systemic Sclerosis associated Interstitial Lung Disease,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +EXE,,EXE,EXE,,,,,,Exemptions from copayment,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,It is collected for all residents of the catchment area.,,,,,,,,,,,,,,,,,,,,,,,,"The instance in which an NHS beneficiary from the catchment area is recorded as having a co-payment exemption, such as a chronic disease and poor socioeconomic status.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"This table is considered to be complete: whenever an exemption is issued, it is recorded. However people with a chronic disease not necessarily request the corresponding exemption. + +It may not be accurate for certain conditions, such as diabetes, which is an over-used and misused exemption code. It can be used as a proxy of some diseases which exempt NHS beneficiaries from co-payment, but it is not always requested by patients. + +For example, a person with movement disorders may not request a co-pay exemption because they may not need it and it's an administrative burden, or are afraid of stigma + +Another point to bear in mind is that some co-payment exemptions trump others; for example, a patient may have a rare disease and a poor socioeconomic status, but since the exemption for socioeconomic status is more economically advantageous, the patient may opt for the latter. Data on rare disease exemption would the","The lag time between collection of new data and availability of new data in house is usually 1 year at most. For exception technical reasons (change in data collection platform), we have not yet updated data to 2019. We expect to do this in the next 3-6 months.",,,,,,,,,,,,, +PHT,,PHT,PHT,,,,,,Treatment plan registry,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"It is collected for all population. +Each treatment plan prescribed to a patient is registered.",,,,,,,,,,,,,,,,,,,,,,,,The prescription of specific drugs for a pathology.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"The table is complete and reliable. +Each record represents a therapeutic plan (prescription). The start and end date, the dosage and the posology are specified (number of drug units in the time interval).","The table currently contains data from 2010 to 2018. + +The lag time between collection of new data and availability of new data in house is usually 1 year at most. We expect to do this in the next 3-6 months.",,,,,,,,,,,,, +COD_FARMACI_SPF,,COD_FARMACI_SPF,COD_FARMACI_SPF,,,,,,Medicinal products,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,All products with marketing authorisation in Italy (even if expired or withdrawn).,,,,,,,,,,,,,,,,,,,,,,,,"Marketing authorisation by the Italian regulatory agency (AIFA) for a product is issued on the National Official Bullettin with some information. A company called Farmadati collects this information, and ARS purchases regular updates.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Complete,Every other month.,,,,,,,,,,,,, +SPECIALISTICA,,SPECIALISTICA,SPECIALISTICA,,,,,,Specialist visits and diagnostic tests,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"It is collected for all NHS beneficiaries in the catchment area, provided that the specialist visits and diagnostic tests are conducted within an NHS setting.",,,,,,,,,,,,,,,,,,,,,,,,The claim for a specialist practitioner visit or for a diagnostic test.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"This is usually considered to have an acceptable level of quality. + +Private services would not be recorded. We expect this occurs rarely but we are not able to quantify.","Services delivered outside of the Caserta LHU are captured with a delay. At present we are unable to quantify this delay. + +The lag time between collection of new data and availability of new data in house is usually 1 year at most. For exception technical reasons (change in data collection platform), we have not yet updated data to 2019. We expect to do this in the next 3-6 months.",,,,,,,,,,,,, +SEA,,SEA,SEA,,,,"ARS.TOSCANA,CNR-IFC",,Exemptions from copayment,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Exemptions from co-payment,,,,,,,All the population in the database,,,,,,,,,,,,,,,,,,,,,,,,"Citizens are required to share in the cost of health care by paying a share of the value of certain services. Exemption from this duty is available for various reasons. Relevant to our purposes are income exemptions, which can provide an indication of socio-economic status, and pathology exemptions. The exemption database is coded using a system that, in the case of pathologies, can be mapped to the ICD-9-CM coding. +Citizens under the age of six or over sixty-five are exempt, unless they are in a favourable income situation.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +AP,,AP,AP,,,,ARS.TOSCANA,,Pathology registry,,,,,,,,,,,,,Italy,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Pathology registry,,,,,,All legal inhabitants of the Tuscany Region (Italy),,,,,,,,,,,,,,,,,,,,,,,,The analysis of a sample by a pathology ward in Tuscany.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,It is expected to be complete in the last years. Many coded fields are approximate.,The table exist since 2008. The table is updated every 3-4 months and is complete up to around 6 months before that date.,,,,,,,,,,,,, +ARS_ANAG_MED_RES_storico,,,ARS_ANAG_MED_RES_storico,,,,ARS.TOSCANA,,Inhabitant register,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Registration with healthcare system,,,,,,,"Every person legally resident in Tuscany is enttled to subscribe to this registry. This registry is what defines our datsource population: indeed being registered in this registry implies that all healthcare funded by the Healthcare System will be funded by the Tuscany Region, which will trigger records of all the other tables of ARS datas",,,,,,,,,,,,,,,,,,,,,,,,"This is the only table in our database that we truly build from scratch from original regional data. We create a history of our subjects based on the ANAGRAFE, that is, a regular sequence of cross-sectional depictions of who is in a given moment assisted in our Regional Heathcare Serice. The history is the sequence of records, with start and end validity of the time-dependent info (such as primary care physician, or residence). This impli +A record of ANAGRAFE is created upon one of the following events: + when a person asks registration with a primary care physician in Tuscany, something that every person legally resident in Tuscany is allowed to do (so, upon birth or immigration) + when a person changes primary care physician or place of residence + when the local health unit receives notification that a person is registered in another local health unit in Tuscany + when the local health unit receives notification that a person is registered in another local en the local health unit receives notification by the municipality of residence or of death that a person is dead (this is the source of death date)",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"People may fail to register out when they leave Tuscany to live abroad, this may happen more often to young people or to people who is not Italian citizen in the first place. Foreign women who change name due to marriage may be recorded twice (in Italy marriage does not cause a name change). Other cause for overestimation of the population is when death fails to be notified, something that has happened in the past and is responsible for large decrease of the total number of heads in January 2016. This implies that person time of ederly people before the end of 2016 is overestimated. +Quality of the recording has dramatically improved in 2009, so for studies where long follow-ups are not necessary using data from 2009 onwards is safer.","The first cross-sectional images of the ANAGRAFE were obtained by ARS in 2003, although records may be older. We have received 1-2 cross-sectional images up to 2009. Since then we regularly receive images (every couple of months), with a negligible lag time.",,,,,,,,,,,,, +ARS_PS,,PS,ARS_PS,,,,,,Emergency admissions,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Yes,,,,,,,,,,,,,,,,,,,,,,,,Admission to the emergency room of a Tuscan hospital. The record is immediately transmitted to the Region without further control.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Diagnoses may be generic.,"The table started in 2009 and has been complete since 2012. It is updated every 3-4 months, and completeness is immediate.",,,,,,,,,,,,, +ANAGRAFICA,,ANAGRAFICA,ANAGRAFICA,,,,,,Inhabitant registry,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Population registry,,,,,,,"All the legal inhabitants of the area of the city of Caserta and of its Local Health Unit (around 1.2 million over the database follow-up, of which 923,445 are the residents that live in the city in 2018).",,,,,,,,,,,,,,,,,,,,,,,,The registration with a primary care physician of an NHS beneficiary in the Caserta catchment area.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"This table is considered to have a high degree of completeness because it is mandatory. If young people immigrate, they may be delayed in registering.","This table started in 2005. + +University of Messina receives all the data of the LHU every February for the previous year, and is allowed to store it inhouse. + +The lag time between collection of new data and availability of new data in house is usually 1 year at most. For exception technical reasons (change in data collection platform), we have not yet updated data to 2019. We expect to do this in the next 3-6 months.",,,,,,,,,,,,, +EFEMERIS_PRESCRIPTION,,EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,,,,CHUT,,Pharmacy dispensings registry,,,,,,,,,,,,,France,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"The table is collected for all the population of EFEMERIS. +If a woman does not take any medication before or during pregnancy, she would still be captured as long as the pregnancy is recorded in the Health Insurance database.",,,,,,,"Clinical data,Dispensings included,Product information,Brand name,Batch number,Formulation,Strength,Package size,Administration vaccines,Population pregnancy and neonates",,,,,,,,,,,,,,,,,"A record is created by the Health Insurance system based on the information received by the pharmacy after a woman retrieved a reimbursable medication. +The information is sent by Health Insurance to EFEMERIS database when a woman is labelled as pregnant at the time of dispensing or if she is known to be pregnant afterwards. The Health Insurance data cover the dispensing of medications from 3 months before the conception to the date of end of pregnancy. +Moreover, a woman will be recorded in EFEMERIS only if there is an outcome that we can associate to the pregnancy. +The woman must communicate to the Health Insurance that she is pregnant in order to obtain a full reimbursement of the medications from the 6th month of pregnancy. In France, women have to declare their pregnancy (mandatory at before 12 weeks) to have their health costs and medicines fully reimbursed (otherwise pay 30% etc.). If a woman requests an elective abortion, she needs to declare the pregnancy to be fully reimbursed.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,The Health Insurance database is of very high quality and completeness. It records automatically the prescriptions dispensed at pharmacists. This electronic system is national even though we only have accessed to data at the Haute-Garonne area level.,"Currently, EFEMERIS is composed of pregnancies ending from July, 2004 to December, 2019. EFEMERIS is updated every year. +Data year N available approximately in N+1.",,,,,,,,,,,,, +FARMACEUTICA,,FARMACEUTICA,FARMACEUTICA,,,,,,Drug dispensations,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"All the population in the database, provided that the drug is reimbursed by the NHS and is purchased with an NHS prescription.",,,,,,,,,,,,,,,,,,,,,,,,"The dispensing of a drug which is reimbursed by the NHS, from community pharmacy or from hospital pharmacies for outpatient use, to NHS beneficiaries, upon a prescription.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"This table is generally considered to be complete. Data could be missing if patients opt to not request reimbursement for their medication. + +Dispensations occurring outside of the LHU of Caserta are likely to be captured with a delay of 1-2 years.","The lag time between collection of new data and availability of new data in house is usually 1 year at most. For exception technical reasons (change in data collection platform), we have not yet updated data to 2019. We expect to do this in the next 3-6 months.",,,,,,,,,,,,, +VCN,,VCN,VCN,,,,,,Vaccines,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Yes,,,,,,,,,,,,,,,,,,,,,,,,A vaccination administered by Local Health Units or by pediatricians.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Vaccinations administered by general practitioners are lacking, therefore the table is not well equipped for studies on adults. On children it is complete since 2017.","It is updated every 3-4 months, and completeness is immediate.",,,,,,,,,,,,, +DIAGNOSTIC,,DIAGNOSTIC,DIAGNOSTIC,,,,UB,,"Table with all inpatient stay diagnoses (ICD10 code + dates), long term disease / occupational diseases / work accident registration (ICD10 code + dates), pregnancy outcomes (specific BPE code + dates start/end of pregnancy) or 56 specific comorbidities annual indicators (specific BPE code + dates)",,,,,,,,,,,67000000,,France,,"All ages,Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65-79 years),Aged (80+ years)",,,,,,,,,,,,,CNAM,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Other,"table containing: +- all inpatient diagnoses (primary, related), with codes and dates +- chronic diseases, occupational diseases, work accident and disability status, with codes and dates +- annual comorbidities indicators Y/N (n=56: categories of cancer, cardiovascular diseases, diabetes...) according to CNAM algorithm based on diagnoses, chronic diseases and disability status, specific drugs and medical procedures, with dates +- pregnancy outcomes (stillbirth, live birth, termination...), with dates",,,,,"Outpatient healthcare data (DCIR) are loaded monthly in SNDS. Data of month M are loaded in SNDS on Month M+1 with 90% of completion and need 6 months up to 1 year to be 99% complete +Inpatient data (PMSI) are loaded monthly but made available once a year in SNDS for extractions. Data of year N are loaded in SNDS on Q3-Q4 N+1",All,Insurance coverage start,"Any person who has French nationality and has resided in France in a stable and regular manner, i.e. for more than 3 months, is obliged to be affiliated to the S curit Sociale (French national healthcare insurance) whatever their situation (e.g. employees, civil servants, retired people, self-employed people, trainees, students, unemployed people, children and infants) +Citizens of the European Union or the European Economic Area (EEA) benefit from the same status as the French. + +Citizens from outside of the European Union and the EEA, must be able to prove their stay in the country in order to benefit from the national healthcare coverage (e.g. valid residence permit) except if they are victime of an accident at work or an occupational","Death,Emigration,Insurance coverage end",,,,"Diagnostic codes included,Rare diseases,""Primary care - GP, community pharmacist level"",Population pregnancy and neonates",,,,,Healthcare claims database,,,,,,,True,,,,French,"Diagnoses from hospital stay, long term disease coverage, occupational diseases, work accident or 56 specific comorbidities indicators* collected and created by the CNAM. + +* https://assurance-maladie.ameli.fr/content/methode-detaillee-du-reperage-de-56-pathologies-episodes-de-soins-ou-traitements",comorbidity / pathology code,True,True,"For data extractions, CNAM provides a unique final identifier for each patient, allowing to link potential multiple identifiers that a patient can have in the SNDS source database accross time. The reasons of multiple identifiers are: coverage by the insurance scheme of both parents, change of regimen (student, farmer, independent worker, general scheme...)",,,"Financial or administrative purposes. Note that some records are generated from other institutions (ATIH,...)",Waiver,"Consent is required at the time of linking data from external cohorts (e.g. patients from registries) to SNDS data. +Note that, it is not possible to operate in the other way, i.e. to identify patients in the SNDS and to link their data to external cohort.","No nominative data are available neither for patients nor practitioners. Patient and practitioner national identifiers are pseudonymized after applying a 3-round occulting function, without possibility to go back to the initial ones. Its also strictly forbidden to use data with complete patient information for birth date, healthcare date, death date and city of living at the same time, only one of them can be complete. Therefore, these variables are restricted to birth year, month/year of death and department of living, in order to have healthcare dates complete.",,False,,,,,False,,,,,,,,,,,,,,,,"Inpatient diagnoses include primary, related and associated diagnoses from the hospital discharge summary and the different medical unit stays. + Long term disease coverage depends on the decision by a practitioner to declare a patient as having a chronic disease (among 30 categories of severe and chronic diseases) in order to allow the patient to benefit of 100% coverage for healthcare in relationship with the considered pathology. + For each patient, CNAM provides annual indicators (0/1) for 56 comorbidities, created from its own algorithms + +Data are available in SNDS from: +- Main scheme (77% of the population) = 2006 +- Farmers and independent workers schemes (11%) = 2009 +- Public servants and students schemes (11%) = 2012","Inpatient diagnosis are updated every month but data of year N are available for extraction only from the end of year N+1. Data from long term disease coverage, occupational diseases, work accident are updated monthly. Comorbidities indicators are updated yearly.",,,,,,,,,,ICD10,"ALD code (French chronic disease classification vocabulary), comorbidities indicators (Y/N), pregnancy outcome specific vocabulary",, +RMR,,RMR,RMR,,,,,,Death registry,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,For all deaths happened in Tuscany.,,,,,,,,,,,,,,,,,,,,,,,,The revision of the death certificate by the Regional Institute of Cancer.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Completeness and quality are thoroughly checked by the Regional Institute of Cancer.,The table was created in 1987. It has the longest lag time in ARS (more than 2 years).,,,,,,,,,,,,, +MBRN,,MBRN,MBRN,,,,UiO,,Medical Birth Registry,,,,,,,,,,,,,Norway,,,,,,,,,,,,,,,UiO,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Birth registry,,,,,,,"Any pregnancy of gestational age 12 weeks or beyond (live, miscarriage, elective abortion, stillbirth). Mandatory by law, all of Norway.",Birth,,"Death,Emigration",,,,"Mother-child,Father-child,Age,Sex,Gender,Tobacco use,Cause of death,Clinical measures,Patient-generated data,""Primary care - GP, community pharmacist level"",Population pregnancy and neonates",,,,,,,,,,,,True,,,,Norwegian,"Any pregnancy of gestational age 12 weeks or beyond (live, miscarriage, elective abortion, stillbirth).",,True,True,,,,,Not required,,,,,,,,,,,,,,,,,365,,,,,,,,"Validity of the registry has been investigated in previous studies by other research groups for some events of interest -for example preclampsia, folic acid use. See questionnaire filled out with info on validity of several of the variables. In our dataset, there are 179 variables in total from the MBRN (this includes ID for mother, father, child)","MBRN was started in 1967. The registry is updated on a monthly basis from the delivery wards. Furthermore, it is updated/synchronized regularly with NR for information on emigration and death. Information on malformations is updated until the child is two years old. The lag time is approximately one year - this is in order to ensure quality and completeness.",,,,,,,,,,,,, +SALM,,SALM,SALM,,,,,,Mental health services,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Yes,,,,,,,,,,,,,,,,,,,,,,,,When a patient is admitted to a treatment pathway in one of the regional Mental Health services.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Much of mental care is purchased by patients outside of the regional Mental Health services, for instance diagnoses of depression are almost never found. There are exceptions, for instance autism is expected to be fairly complete, and in general infant mental healthcare is well recorded because Tuscany has a national-level specialist center in infant mental health.","It was created in 2010. The table is updated every 3-4 months and is complete up to around 6 months before that date. At April of every year the final table is closed, except for record generated outside of the region which are obtained in September.",,,,,,,,,,,,, +SPA,,SPA,SPA,,,,,,outpatient activities,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,All the population.,,,,,,,,,,,,,,,,,,,,,,,,"Access to an ambulatory procedure belonging to the list of reimbursed procedures (Nomenclatore), provided it is prescribed by the primary care physician of the patient, or of a specialist employed by the National healthcare System. Nomeclatore is updated every few years, and contains laboratory and instrumental diagnostic tests, diagnostic and rehabilitation procedures, specialist encounters.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Many ambulatory services are purchased by patients to avoid waiting lists for instance around half of specialist visits, according to estimates of the National","The table is updated every 3-4 months and is complete up to around 6 months before that date. At April of every year the final table is closed, except for record generated outside of the region which are obtained in September.",,,,,,,,,,,,, +AVOHILMO,,AVOHILMO,Register of Primary Health Care Visits (AVOHILMO),,,,DHL.I,,Primary care administrative data,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Primary care medical records,,,,,,,National data.,"Birth,Immigration",,,,,,"""Primary care - GP, community pharmacist level""",,,,,,,,,,,,,,,,,"Real time data that comes every night, as soon as a person visits their primary care physician. You can access only primary care centers of your own region, you are appointed to a specific primary health center. Primary care makes referral to secondary care (also doctors working at private sector i.e. private health care and occupational care can make referrals).",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Since 2011 the data collection has covered outpatient primary health care delivered in Finland with more complete data 2013 onwards. Data collection is continuous and statistics are published on a monthly basis.,,,,,,,,,,"ICPC,ICD10",,, +SPF,,SPF,SPF,,,,"ARS.TOSCANA,CNR-IFC",,Dispensation of medicines in community pharmacies,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Databank,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,For all the dispensations taking place in Tuscany or to Tuscan inhabitants in other Italian regions are recorded.,,,,,,,,,,,,,,,,,,,,,,,,"A dispensation by a community pharmacy of a medicine that belongs to the list of reimbursed drugs maintained by the Italian Regulatory Agency (AIFA), upon prescription by the primary care physician of the patient, or of a specialist employed by the National healthcare System. AIFA has indeed two roles: admission of drugs to the Italia market (mostly after European procedure) and admission to reimbursement (which may take place many months after admission to market). +Records are transmitted to the Region by pharmacies to obtain reimbursement (medicines are free at the point of dispensation, except for a copayment). The table is compulsory upon national law and is transmitted yearly to the Ministry of Finance.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Cheap medicines, even if potentially reimbursed, may be bought out-of-the-counter to avoid queing to renew a prescription. +Expensive medicines are recorded in FED.","The table started in 2003. +The table is updated every 3-4 months and is complete up to around 5-6 months before that date. At April of every year the final table is closed, except for record generated outside of the region which are obtained in September.",,,,,,,,,,,,, +ABL,,ABL,ABL Region Administrative Databases,,,,ARS.TOSCANA,,"As is the case in every Italian region, the reason for entering the database is the registration with a primary care physician, which may happen upon immigration or upon birth; the reason for exiting the database is emigration or death. Beyond administrative databnls, for the same underlying population other data banks are collected by the Tuscany Region or by other Tuscan organizations: the birth registry, the spontaneous abortions and induced terminations registry, the death registry, the vaccine registry, the pathology registry, the registry of primary care community centers, the COVID registry, the congenital anomaly registry and the rare disease registry. Medical records and/or laboratory results are collected by local organizations, such as hospital, on subsets o teh underlying Tuscan population.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Data source,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +EUROCAT NNL,,EUROCAT NNL,EUROCAT NNL,,,,UMCG,,"EUROCAT NNL registers information about all children/fetuses born with a congenital anomaly whose mothers are residing in the provinces of Groningen, Friesland or Drenthe. The data collection started in 1981 and is ongoing. EUROCAT NNL is part of EUROmediCAT.",,,,,,,,,,,,,Netherlands (the),"Groningen,Friesland,Drenthe",,,,,,,,,,,,,,,,,,,,,,,,,Data source,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +DHL,,DHL,Dutch institute for health and welfare,,,,DHL.I,,"Currently, the Netherlands has multisource financing of healthcare. Universal health insurance coverage is accessible for all citizens and permanent residents in the country, with a range of comprehensive health services. Municipalities (currently around 300) are responsible for arranging and funding health care. Health services are divided into primary health care and specialized medical care. Primary health care refers to the municipally arranged services provided at municipal health centres. Specialised medical care refers to secondary and tertiary health care, provided by experts on medical specialities largely provided in hospitals. Municipalities or joint municipal authorities may also procure health care services from private service providers. Employers are responsible for preventive health care of their employees. On a voluntary basis, some also provide medical care. Medical care provided by employers and private healthcare also receive some public funding. + +Finnish Instititute for Health and Welfare (THL) collects information and produces a range of statistics in the field of social welfare and health care. As a statistical authority, THL is responsible for the maintenance and development of statistical and register resources. THL is hosting the Drugs and Pregnancy research project, a joint project of the THL, the Finnish Medicines Agency (FIMEA) and the Social Insurance Institution of Finland (Kela). The project aims to secure safe medical drug use during pregnancy. + +The underlying population of all the data banks is the whole population of Finland (around 5.6 million inhabitants). + +All register descriptions available in English can be found from: https://thl.fi/en/web/thlfi-en/statistics/information-on-statistics/register-descriptions. + +All quality descriptions available in English can be found from: +https://thl.fi/en/web/thlfi-en/statistics/information-on-statistics/quality-descriptions + +Information on Drugs and Pregnancy research project can be found from: https://thl.fi/en/web/thlfi-en/research-and-development/research-and-projects/drugs-and-pregnancy?redirect=%2Fen%2Fweb%2Fthlfi-en%2Fresearch-and-development%2Fresearch-and-projects%2Fcurrent-research-and-projects + +Data is stored on an individual level and can be linked by the personal identification number assigned to all citizens and permanent residents in Finland at birth or upon immigration. The provision on private medical services, particularly those provided by employers, has grown steadily over the years which may reflect particularly to the completeness of primary care data.",,,,,,,,,,,2061601,,Finland,,"Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years)",,,,,,,,,,,,,,,,,,,,,,,,Data source,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"""Primary care - GP, community pharmacist level"",Primary care - specialist level (e.g. paediatricians),Secondary care - specialist level (ambulatory),Hospital inpatient care,Hospital outpatient care",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +TestDataSourceID,https://pid-for-testdatasource.org,TESTDATASOURCE,Test Data Source,local test data source name,test,https://www.molgenis.org,AMC,"INSERM,UCL",Description field for test data source - not all fields have been filled in but this can be done at a later date when we do thorough testing of data sources,,,,,,,,,,,3000,248,"Andorra,Bolivia (Plurinational State of),Grenada","Meurthe-et-Moselle,Lapland",Prenatal,,,,,,,,,,,,,,,,,,,,,,,,Data source,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Population registry,,description field for data collection for test data source,2012-05-21,2016-05-24,2024-05-14,test description for time span for test data source,,"Birth,Immigration",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, diff --git a/data/_demodata/applications/datacatalogue/DAPs.csv b/data/_demodata/applications/datacatalogue/DAPs.csv deleted file mode 100644 index 84ec466dbe..0000000000 --- a/data/_demodata/applications/datacatalogue/DAPs.csv +++ /dev/null @@ -1,4 +0,0 @@ -organisation,resource,is data access provider,reason access other,population subset other,process time -ARS.TOSCANA,ABL,,,, -DHL.I,DHL,,,, -UMCG,EUROCAT NNL,,,, diff --git a/data/_demodata/applications/datacatalogue/Data sources.csv b/data/_demodata/applications/datacatalogue/Data sources.csv deleted file mode 100644 index 3652d66e2c..0000000000 --- a/data/_demodata/applications/datacatalogue/Data sources.csv +++ /dev/null @@ -1,18 +0,0 @@ -id,pid,acronym,name,local name,type,type other,keywords,website,lead organisation,additional organisations,description,data collection description,date established,start data collection,end data collection,time span description,logo,logo_filename,number of participants,number of participants with samples,countries,regions,population age groups,population entry,population entry other,population exit,population exit other,population disease,population oncology topology,population oncology morphology,population coverage,population not covered,areas of information,quality of life other,cause of death code other,indication vocabulary other,genetic data vocabulary other,care setting other,medicinal product vocabulary other,prescriptions vocabulary other,dispensings vocabulary other,procedures vocabulary other,biomarker data vocabulary other,diagnosis medical event vocabulary other,disease details,disease details other,biospecimen collected,languages,record trigger,prelinked,linkage description,linkage possibility,linkage possibility description,data holder,informed consent,informed consent other,access identifiable data,access identifiable data route,access subject details,access subject details route,audit possible,standard operating procedures,biospecimen access,biospecimen access conditions,governance details,approval for publication,preservation,preservation duration,refresh period,date last refresh,qualification,qualifications description,access for validation,quality validation frequency,quality validation methods,correction methods,quality validation results,cdms other,design paper,publications,informed consent type,funding sources,funding statement,acknowledgements,supplementary information -ABL,,ABL,ABL Region Administrative Databases,,,,,,ARS.TOSCANA,,"As is the case in every Italian region, the reason for entering the database is the registration with a primary care physician, which may happen upon immigration or upon birth; the reason for exiting the database is emigration or death. Beyond administrative databnls, for the same underlying population other data banks are collected by the Tuscany Region or by other Tuscan organizations: the birth registry, the spontaneous abortions and induced terminations registry, the death registry, the vaccine registry, the pathology registry, the registry of primary care community centers, the COVID registry, the congenital anomaly registry and the rare disease registry. Medical records and/or laboratory results are collected by local organizations, such as hospital, on subsets o teh underlying Tuscan population.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -EUROCAT NNL,,EUROCAT NNL,EUROCAT NNL,,,,,,UMCG,,"EUROCAT NNL registers information about all children/fetuses born with a congenital anomaly whose mothers are residing in the provinces of Groningen, Friesland or Drenthe. The data collection started in 1981 and is ongoing. EUROCAT NNL is part of EUROmediCAT.",,,,,,,,,,Netherlands (the),"Groningen,Friesland,Drenthe",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -DHL,,DHL,Dutch institute for health and welfare,,,,,,DHL.I,,"Currently, the Netherlands has multisource financing of healthcare. Universal health insurance coverage is accessible for all citizens and permanent residents in the country, with a range of comprehensive health services. Municipalities (currently around 300) are responsible for arranging and funding health care. Health services are divided into primary health care and specialized medical care. Primary health care refers to the municipally arranged services provided at municipal health centres. Specialised medical care refers to secondary and tertiary health care, provided by experts on medical specialities largely provided in hospitals. Municipalities or joint municipal authorities may also procure health care services from private service providers. Employers are responsible for preventive health care of their employees. On a voluntary basis, some also provide medical care. Medical care provided by employers and private healthcare also receive some public funding. - -Finnish Instititute for Health and Welfare (THL) collects information and produces a range of statistics in the field of social welfare and health care. As a statistical authority, THL is responsible for the maintenance and development of statistical and register resources. THL is hosting the Drugs and Pregnancy research project, a joint project of the THL, the Finnish Medicines Agency (FIMEA) and the Social Insurance Institution of Finland (Kela). The project aims to secure safe medical drug use during pregnancy. - -The underlying population of all the data banks is the whole population of Finland (around 5.6 million inhabitants). - -All register descriptions available in English can be found from: https://thl.fi/en/web/thlfi-en/statistics/information-on-statistics/register-descriptions. - -All quality descriptions available in English can be found from: -https://thl.fi/en/web/thlfi-en/statistics/information-on-statistics/quality-descriptions - -Information on Drugs and Pregnancy research project can be found from: https://thl.fi/en/web/thlfi-en/research-and-development/research-and-projects/drugs-and-pregnancy?redirect=%2Fen%2Fweb%2Fthlfi-en%2Fresearch-and-development%2Fresearch-and-projects%2Fcurrent-research-and-projects - -Data is stored on an individual level and can be linked by the personal identification number assigned to all citizens and permanent residents in Finland at birth or upon immigration. The provision on private medical services, particularly those provided by employers, has grown steadily over the years which may reflect particularly to the completeness of primary care data.",,,,,,,,2061601,,Finland,,"Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years)",,,,,,,,,,"""Primary care - GP, community pharmacist level"",Primary care - specialist level (e.g. paediatricians),Secondary care - specialist level (ambulatory),Hospital inpatient care,Hospital outpatient care",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -TestDataSourceID,TestDataSourcePID,TESTDATASOURCE,Test Data Source,local test data source name,Population registry,,test,https://www.molgenis.org,AMC,"INSERM,UCL",Description field for test data source - not all fields have been filled in but this can be done at a later date when we do thorough testing of data sources,description field for data collection for test data source,2012-05-21,2016-05-24,2024-05-14,test description for time span for test data source,,,3000,248,"Andorra,Bolivia (Plurinational State of),Grenada","Meurthe-et-Moselle,Lapland",Prenatal,"Birth,Immigration",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, diff --git a/data/_demodata/applications/datacatalogue/Databanks.csv b/data/_demodata/applications/datacatalogue/Databanks.csv deleted file mode 100644 index 241ae2eee2..0000000000 --- a/data/_demodata/applications/datacatalogue/Databanks.csv +++ /dev/null @@ -1,73 +0,0 @@ -id,pid,acronym,name,local name,type,type other,keywords,website,lead organisation,additional organisations,description,data collection description,date established,start data collection,end data collection,time span description,logo,logo_filename,number of participants,number of participants with samples,underlying population,countries,regions,population age groups,population entry,population entry other,population exit,population exit other,population disease,population oncology topology,population oncology morphology,population coverage,population not covered,areas of information,quality of life other,cause of death code other,indication vocabulary other,genetic data vocabulary other,care setting other,medicinal product vocabulary other,prescriptions vocabulary other,dispensings vocabulary other,procedures vocabulary other,biomarker data vocabulary other,diagnosis medical event vocabulary other,data dictionary available,disease details,disease details other,biospecimen collected,languages,record trigger,unit of observation,multiple entries,has identifier,identifier description,prelinked,linkage description,linkage possibility,linkage possibility description,data holder,reason sustained,informed consent,informed consent other,access identifiable data,access identifiable data route,access subject details,access subject details route,audit possible,access third party,access third party conditions,access non EU,access non EU conditions,standard operating procedures,biospecimen access,biospecimen access conditions,governance details,approval for publication,refresh,lag time,preservation,preservation duration,refresh period,date last refresh,qualification,qualifications description,number of records,completeness,completeness over time,completeness results,quality description,quality over time,access for validation,quality validation frequency,quality validation methods,correction methods,quality validation results,cdms other,ETL standard vocabularies,ETL standard vocabularies other,design paper,publications,informed consent type,funding sources,funding statement,acknowledgements,supplementary information -EXE,,EXE,EXE,,,,,,,,Exemptions from copayment,,,,,,,,,,It is collected for all residents of the catchment area.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"The instance in which an NHS beneficiary from the catchment area is recorded as having a co-payment exemption, such as a chronic disease and poor socioeconomic status.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"This table is considered to be complete: whenever an exemption is issued, it is recorded. However people with a chronic disease not necessarily request the corresponding exemption. - -It may not be accurate for certain conditions, such as diabetes, which is an over-used and misused exemption code. It can be used as a proxy of some diseases which exempt NHS beneficiaries from co-payment, but it is not always requested by patients. - -For example, a person with movement disorders may not request a co-pay exemption because they may not need it and it's an administrative burden, or are afraid of stigma - -Another point to bear in mind is that some co-payment exemptions trump others; for example, a patient may have a rare disease and a poor socioeconomic status, but since the exemption for socioeconomic status is more economically advantageous, the patient may opt for the latter. Data on rare disease exemption would the","The lag time between collection of new data and availability of new data in house is usually 1 year at most. For exception technical reasons (change in data collection platform), we have not yet updated data to 2019. We expect to do this in the next 3-6 months.",,,,,,,,,,,,,,,,,, -PHT,,PHT,PHT,,,,,,,,Treatment plan registry,,,,,,,,,,"It is collected for all population. -Each treatment plan prescribed to a patient is registered.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,The prescription of specific drugs for a pathology.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"The table is complete and reliable. -Each record represents a therapeutic plan (prescription). The start and end date, the dosage and the posology are specified (number of drug units in the time interval).","The table currently contains data from 2010 to 2018. - -The lag time between collection of new data and availability of new data in house is usually 1 year at most. We expect to do this in the next 3-6 months.",,,,,,,,,,,,,,,,,, -COD_FARMACI_SPF,,COD_FARMACI_SPF,COD_FARMACI_SPF,,,,,,,,Medicinal products,,,,,,,,,,All products with marketing authorisation in Italy (even if expired or withdrawn).,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Marketing authorisation by the Italian regulatory agency (AIFA) for a product is issued on the National Official Bullettin with some information. A company called Farmadati collects this information, and ARS purchases regular updates.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Complete,Every other month.,,,,,,,,,,,,,,,,,, -SPECIALISTICA,,SPECIALISTICA,SPECIALISTICA,,,,,,,,Specialist visits and diagnostic tests,,,,,,,,,,"It is collected for all NHS beneficiaries in the catchment area, provided that the specialist visits and diagnostic tests are conducted within an NHS setting.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,The claim for a specialist practitioner visit or for a diagnostic test.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"This is usually considered to have an acceptable level of quality. - -Private services would not be recorded. We expect this occurs rarely but we are not able to quantify.","Services delivered outside of the Caserta LHU are captured with a delay. At present we are unable to quantify this delay. - -The lag time between collection of new data and availability of new data in house is usually 1 year at most. For exception technical reasons (change in data collection platform), we have not yet updated data to 2019. We expect to do this in the next 3-6 months.",,,,,,,,,,,,,,,,,, -SEA,,SEA,SEA,,Exemptions from co-payment,,,,"ARS.TOSCANA,CNR-IFC",,Exemptions from copayment,,,,,,,,,,All the population in the database,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Citizens are required to share in the cost of health care by paying a share of the value of certain services. Exemption from this duty is available for various reasons. Relevant to our purposes are income exemptions, which can provide an indication of socio-economic status, and pathology exemptions. The exemption database is coded using a system that, in the case of pathologies, can be mapped to the ICD-9-CM coding. -Citizens under the age of six or over sixty-five are exempt, unless they are in a favourable income situation.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -AP,,AP,AP,,,Pathology registry,,,ARS.TOSCANA,,Pathology registry,,,,,,,,,,All legal inhabitants of the Tuscany Region (Italy),Italy,,,,,,,,,,,,,,,,,,,,,,,,,,,,,The analysis of a sample by a pathology ward in Tuscany.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,It is expected to be complete in the last years. Many coded fields are approximate.,The table exist since 2008. The table is updated every 3-4 months and is complete up to around 6 months before that date.,,,,,,,,,,,,,,,,,, -ARS_ANAG_MED_RES_storico,,,ARS_ANAG_MED_RES_storico,,Registration with healthcare system,,,,ARS.TOSCANA,,Inhabitant register,,,,,,,,,,"Every person legally resident in Tuscany is enttled to subscribe to this registry. This registry is what defines our datsource population: indeed being registered in this registry implies that all healthcare funded by the Healthcare System will be funded by the Tuscany Region, which will trigger records of all the other tables of ARS datas",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"This is the only table in our database that we truly build from scratch from original regional data. We create a history of our subjects based on the ANAGRAFE, that is, a regular sequence of cross-sectional depictions of who is in a given moment assisted in our Regional Heathcare Serice. The history is the sequence of records, with start and end validity of the time-dependent info (such as primary care physician, or residence). This impli -A record of ANAGRAFE is created upon one of the following events: - when a person asks registration with a primary care physician in Tuscany, something that every person legally resident in Tuscany is allowed to do (so, upon birth or immigration) - when a person changes primary care physician or place of residence - when the local health unit receives notification that a person is registered in another local health unit in Tuscany - when the local health unit receives notification that a person is registered in another local en the local health unit receives notification by the municipality of residence or of death that a person is dead (this is the source of death date)",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"People may fail to register out when they leave Tuscany to live abroad, this may happen more often to young people or to people who is not Italian citizen in the first place. Foreign women who change name due to marriage may be recorded twice (in Italy marriage does not cause a name change). Other cause for overestimation of the population is when death fails to be notified, something that has happened in the past and is responsible for large decrease of the total number of heads in January 2016. This implies that person time of ederly people before the end of 2016 is overestimated. -Quality of the recording has dramatically improved in 2009, so for studies where long follow-ups are not necessary using data from 2009 onwards is safer.","The first cross-sectional images of the ANAGRAFE were obtained by ARS in 2003, although records may be older. We have received 1-2 cross-sectional images up to 2009. Since then we regularly receive images (every couple of months), with a negligible lag time.",,,,,,,,,,,,,,,,,, -ARS_PS,,PS,ARS_PS,,,,,,,,Emergency admissions,,,,,,,,,,Yes,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Admission to the emergency room of a Tuscan hospital. The record is immediately transmitted to the Region without further control.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Diagnoses may be generic.,"The table started in 2009 and has been complete since 2012. It is updated every 3-4 months, and completeness is immediate.",,,,,,,,,,,,,,,,,, -ANAGRAFICA,,ANAGRAFICA,ANAGRAFICA,,Population registry,,,,,,Inhabitant registry,,,,,,,,,,"All the legal inhabitants of the area of the city of Caserta and of its Local Health Unit (around 1.2 million over the database follow-up, of which 923,445 are the residents that live in the city in 2018).",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,The registration with a primary care physician of an NHS beneficiary in the Caserta catchment area.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"This table is considered to have a high degree of completeness because it is mandatory. If young people immigrate, they may be delayed in registering.","This table started in 2005. - -University of Messina receives all the data of the LHU every February for the previous year, and is allowed to store it inhouse. - -The lag time between collection of new data and availability of new data in house is usually 1 year at most. For exception technical reasons (change in data collection platform), we have not yet updated data to 2019. We expect to do this in the next 3-6 months.",,,,,,,,,,,,,,,,,, -EFEMERIS_PRESCRIPTION,,EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,,,,,,CHUT,,Pharmacy dispensings registry,,,,,,,,,,"The table is collected for all the population of EFEMERIS. -If a woman does not take any medication before or during pregnancy, she would still be captured as long as the pregnancy is recorded in the Health Insurance database.",France,,,,,,,,,,,,"Clinical data,Dispensings included,Product information,Brand name,Batch number,Formulation,Strength,Package size,Administration vaccines,Population pregnancy and neonates",,,,,,,,,,,,,,,,,"A record is created by the Health Insurance system based on the information received by the pharmacy after a woman retrieved a reimbursable medication. -The information is sent by Health Insurance to EFEMERIS database when a woman is labelled as pregnant at the time of dispensing or if she is known to be pregnant afterwards. The Health Insurance data cover the dispensing of medications from 3 months before the conception to the date of end of pregnancy. -Moreover, a woman will be recorded in EFEMERIS only if there is an outcome that we can associate to the pregnancy. -The woman must communicate to the Health Insurance that she is pregnant in order to obtain a full reimbursement of the medications from the 6th month of pregnancy. In France, women have to declare their pregnancy (mandatory at before 12 weeks) to have their health costs and medicines fully reimbursed (otherwise pay 30% etc.). If a woman requests an elective abortion, she needs to declare the pregnancy to be fully reimbursed.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,The Health Insurance database is of very high quality and completeness. It records automatically the prescriptions dispensed at pharmacists. This electronic system is national even though we only have accessed to data at the Haute-Garonne area level.,"Currently, EFEMERIS is composed of pregnancies ending from July, 2004 to December, 2019. EFEMERIS is updated every year. -Data year N available approximately in N+1.",,,,,,,,,,,,,,,,,, -FARMACEUTICA,,FARMACEUTICA,FARMACEUTICA,,,,,,,,Drug dispensations,,,,,,,,,,"All the population in the database, provided that the drug is reimbursed by the NHS and is purchased with an NHS prescription.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"The dispensing of a drug which is reimbursed by the NHS, from community pharmacy or from hospital pharmacies for outpatient use, to NHS beneficiaries, upon a prescription.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"This table is generally considered to be complete. Data could be missing if patients opt to not request reimbursement for their medication. - -Dispensations occurring outside of the LHU of Caserta are likely to be captured with a delay of 1-2 years.","The lag time between collection of new data and availability of new data in house is usually 1 year at most. For exception technical reasons (change in data collection platform), we have not yet updated data to 2019. We expect to do this in the next 3-6 months.",,,,,,,,,,,,,,,,,, -VCN,,VCN,VCN,,,,,,,,Vaccines,,,,,,,,,,Yes,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,A vaccination administered by Local Health Units or by pediatricians.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Vaccinations administered by general practitioners are lacking, therefore the table is not well equipped for studies on adults. On children it is complete since 2017.","It is updated every 3-4 months, and completeness is immediate.",,,,,,,,,,,,,,,,,, -DIAGNOSTIC,,DIAGNOSTIC,DIAGNOSTIC,,Other,"table containing: -- all inpatient diagnoses (primary, related), with codes and dates -- chronic diseases, occupational diseases, work accident and disability status, with codes and dates -- annual comorbidities indicators Y/N (n=56: categories of cancer, cardiovascular diseases, diabetes...) according to CNAM algorithm based on diagnoses, chronic diseases and disability status, specific drugs and medical procedures, with dates -- pregnancy outcomes (stillbirth, live birth, termination...), with dates",,,UB,,"Table with all inpatient stay diagnoses (ICD10 code + dates), long term disease / occupational diseases / work accident registration (ICD10 code + dates), pregnancy outcomes (specific BPE code + dates start/end of pregnancy) or 56 specific comorbidities annual indicators (specific BPE code + dates)",,,,,"Outpatient healthcare data (DCIR) are loaded monthly in SNDS. Data of month M are loaded in SNDS on Month M+1 with 90% of completion and need 6 months up to 1 year to be 99% complete -Inpatient data (PMSI) are loaded monthly but made available once a year in SNDS for extractions. Data of year N are loaded in SNDS on Q3-Q4 N+1",,,67000000,,All,France,,"All ages,Newborn (0-1 months),Infants and toddlers (2-23 months),Child (2-12 years),Adolescent (13-17 years),Young adult (18-24 years),Adult (25-44 years),Middle-aged (45-64 years),Aged (65-79 years),Aged (80+ years)",Insurance coverage start,"Any person who has French nationality and has resided in France in a stable and regular manner, i.e. for more than 3 months, is obliged to be affiliated to the S curit Sociale (French national healthcare insurance) whatever their situation (e.g. employees, civil servants, retired people, self-employed people, trainees, students, unemployed people, children and infants) -Citizens of the European Union or the European Economic Area (EEA) benefit from the same status as the French. - -Citizens from outside of the European Union and the EEA, must be able to prove their stay in the country in order to benefit from the national healthcare coverage (e.g. valid residence permit) except if they are victime of an accident at work or an occupational","Death,Emigration,Insurance coverage end",,,,,,,"Diagnostic codes included,Rare diseases,""Primary care - GP, community pharmacist level"",Population pregnancy and neonates",,,,,Healthcare claims database,,,,,,,true,,,,French,"Diagnoses from hospital stay, long term disease coverage, occupational diseases, work accident or 56 specific comorbidities indicators* collected and created by the CNAM. - -* https://assurance-maladie.ameli.fr/content/methode-detaillee-du-reperage-de-56-pathologies-episodes-de-soins-ou-traitements",comorbidity / pathology code,true,true,"For data extractions, CNAM provides a unique final identifier for each patient, allowing to link potential multiple identifiers that a patient can have in the SNDS source database accross time. The reasons of multiple identifiers are: coverage by the insurance scheme of both parents, change of regimen (student, farmer, independent worker, general scheme...)",,,,,CNAM,"Financial or administrative purposes. Note that some records are generated from other institutions (ATIH,...)",Waiver,"Consent is required at the time of linking data from external cohorts (e.g. patients from registries) to SNDS data. -Note that, it is not possible to operate in the other way, i.e. to identify patients in the SNDS and to link their data to external cohort.","No nominative data are available neither for patients nor practitioners. Patient and practitioner national identifiers are pseudonymized after applying a 3-round occulting function, without possibility to go back to the initial ones. Its also strictly forbidden to use data with complete patient information for birth date, healthcare date, death date and city of living at the same time, only one of them can be complete. Therefore, these variables are restricted to birth year, month/year of death and department of living, in order to have healthcare dates complete.",,false,,,,,false,,,,,,,,,,,,,,,,"Inpatient diagnoses include primary, related and associated diagnoses from the hospital discharge summary and the different medical unit stays. - Long term disease coverage depends on the decision by a practitioner to declare a patient as having a chronic disease (among 30 categories of severe and chronic diseases) in order to allow the patient to benefit of 100% coverage for healthcare in relationship with the considered pathology. - For each patient, CNAM provides annual indicators (0/1) for 56 comorbidities, created from its own algorithms - -Data are available in SNDS from: -- Main scheme (77% of the population) = 2006 -- Farmers and independent workers schemes (11%) = 2009 -- Public servants and students schemes (11%) = 2012","Inpatient diagnosis are updated every month but data of year N are available for extraction only from the end of year N+1. Data from long term disease coverage, occupational diseases, work accident are updated monthly. Comorbidities indicators are updated yearly.",,,,,,,,,,ICD10,"ALD code (French chronic disease classification vocabulary), comorbidities indicators (Y/N), pregnancy outcome specific vocabulary",,,,,,, -RMR,,RMR,RMR,,,,,,,,Death registry,,,,,,,,,,For all deaths happened in Tuscany.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,The revision of the death certificate by the Regional Institute of Cancer.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Completeness and quality are thoroughly checked by the Regional Institute of Cancer.,The table was created in 1987. It has the longest lag time in ARS (more than 2 years).,,,,,,,,,,,,,,,,,, -MBRN,,MBRN,MBRN,,Birth registry,,,,UiO,,Medical Birth Registry,,,,,,,,,,"Any pregnancy of gestational age 12 weeks or beyond (live, miscarriage, elective abortion, stillbirth). Mandatory by law, all of Norway.",Norway,,,Birth,,"Death,Emigration",,,,,,,"Mother-child,Father-child,Age,Sex,Gender,Tobacco use,Cause of death,Clinical measures,Patient-generated data,""Primary care - GP, community pharmacist level"",Population pregnancy and neonates",,,,,,,,,,,,true,,,,Norwegian,"Any pregnancy of gestational age 12 weeks or beyond (live, miscarriage, elective abortion, stillbirth).",,true,true,,,,,,UiO,,Not required,,,,,,,,,,,,,,,,,365,,,,,,,,"Validity of the registry has been investigated in previous studies by other research groups for some events of interest -for example preclampsia, folic acid use. See questionnaire filled out with info on validity of several of the variables. In our dataset, there are 179 variables in total from the MBRN (this includes ID for mother, father, child)","MBRN was started in 1967. The registry is updated on a monthly basis from the delivery wards. Furthermore, it is updated/synchronized regularly with NR for information on emigration and death. Information on malformations is updated until the child is two years old. The lag time is approximately one year - this is in order to ensure quality and completeness.",,,,,,,,,,,,,,,,,, -SALM,,SALM,SALM,,,,,,,,Mental health services,,,,,,,,,,Yes,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,When a patient is admitted to a treatment pathway in one of the regional Mental Health services.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Much of mental care is purchased by patients outside of the regional Mental Health services, for instance diagnoses of depression are almost never found. There are exceptions, for instance autism is expected to be fairly complete, and in general infant mental healthcare is well recorded because Tuscany has a national-level specialist center in infant mental health.","It was created in 2010. The table is updated every 3-4 months and is complete up to around 6 months before that date. At April of every year the final table is closed, except for record generated outside of the region which are obtained in September.",,,,,,,,,,,,,,,,,, -SPA,,SPA,SPA,,,,,,,,outpatient activities,,,,,,,,,,All the population.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Access to an ambulatory procedure belonging to the list of reimbursed procedures (Nomenclatore), provided it is prescribed by the primary care physician of the patient, or of a specialist employed by the National healthcare System. Nomeclatore is updated every few years, and contains laboratory and instrumental diagnostic tests, diagnostic and rehabilitation procedures, specialist encounters.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Many ambulatory services are purchased by patients to avoid waiting lists for instance around half of specialist visits, according to estimates of the National","The table is updated every 3-4 months and is complete up to around 6 months before that date. At April of every year the final table is closed, except for record generated outside of the region which are obtained in September.",,,,,,,,,,,,,,,,,, -AVOHILMO,,AVOHILMO,Register of Primary Health Care Visits (AVOHILMO),,Primary care medical records,,,,DHL.I,,Primary care administrative data,,,,,,,,,,National data.,,,,"Birth,Immigration",,,,,,,,,"""Primary care - GP, community pharmacist level""",,,,,,,,,,,,,,,,,"Real time data that comes every night, as soon as a person visits their primary care physician. You can access only primary care centers of your own region, you are appointed to a specific primary health center. Primary care makes referral to secondary care (also doctors working at private sector i.e. private health care and occupational care can make referrals).",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Since 2011 the data collection has covered outpatient primary health care delivered in Finland with more complete data 2013 onwards. Data collection is continuous and statistics are published on a monthly basis.,,,,,,,,,,"ICPC,ICD10",,,,,,,, -SPF,,SPF,SPF,,,,,,"ARS.TOSCANA,CNR-IFC",,Dispensation of medicines in community pharmacies,,,,,,,,,,For all the dispensations taking place in Tuscany or to Tuscan inhabitants in other Italian regions are recorded.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"A dispensation by a community pharmacy of a medicine that belongs to the list of reimbursed drugs maintained by the Italian Regulatory Agency (AIFA), upon prescription by the primary care physician of the patient, or of a specialist employed by the National healthcare System. AIFA has indeed two roles: admission of drugs to the Italia market (mostly after European procedure) and admission to reimbursement (which may take place many months after admission to market). -Records are transmitted to the Region by pharmacies to obtain reimbursement (medicines are free at the point of dispensation, except for a copayment). The table is compulsory upon national law and is transmitted yearly to the Ministry of Finance.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Cheap medicines, even if potentially reimbursed, may be bought out-of-the-counter to avoid queing to renew a prescription. -Expensive medicines are recorded in FED.","The table started in 2003. -The table is updated every 3-4 months and is complete up to around 5-6 months before that date. At April of every year the final table is closed, except for record generated outside of the region which are obtained in September.",,,,,,,,,,,,,,,,,, diff --git a/data/_demodata/applications/datacatalogue/Dataset mappings.csv b/data/_demodata/applications/datacatalogue/Mapped datasets.csv similarity index 64% rename from data/_demodata/applications/datacatalogue/Dataset mappings.csv rename to data/_demodata/applications/datacatalogue/Mapped datasets.csv index c6717807b1..d3d2baf278 100644 --- a/data/_demodata/applications/datacatalogue/Dataset mappings.csv +++ b/data/_demodata/applications/datacatalogue/Mapped datasets.csv @@ -1,13 +1,13 @@ source,source dataset,target,target dataset,order,description,syntax -VCN,VCN,OOM_CDM,VACCINES,,"For each record: +VCN,VCN,OOM,VACCINES,,"For each record: ● Create a record of VACCINES ● Copy the values of VCN into VACCINES according to the following table", -DHL,CPA1,OOM_CDM,EVENTS,,, -DHL,CPA2,OOM_CDM,EVENTS,,, -AP,AP,OOM_CDM,VISIT_OCCURRENCE,,"For each record +DHL,CPA1,OOM,EVENTS,,, +DHL,CPA2,OOM,EVENTS,,, +AP,AP,OOM,VISIT_OCCURRENCE,,"For each record ● Create a record of VISIT_OCCURRENCE and label the records with a unique code stored in visit_occurrence_id (primary key) ● Copy the values of AP into VISIT_OCCURRENCE according to the following table", -AP,AP,OOM_CDM,MEDICAL_OBSERVATIONS,,"For each record +AP,AP,OOM,MEDICAL_OBSERVATIONS,,"For each record ● Extract from VISIT_OCCURRENCE (above) the corresponding value of visit_occurrence_id ● Create a record of MEDICAL_OBSERVATIONS for each non-empty column of this list a. Columns containing codes @@ -19,16 +19,16 @@ b. Columns containing text: i. DIAGNOSI ii. MACROSCOPIA ● Copy the values of AP into each such record of MEDICAL_OBSERVATIONS according to the following table", -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,OOM_CDM,PERSONS,,Select all the distinct values of IDUNI having at least one record with COD_REGIONE=’090’; for each of them select the values as follows, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,OOM_CDM,OBSERVATION_PERIODS,,"For each record with COD_REGIONE=’090’, fill the column of this table as follows", -ARS_PS,PS,OOM_CDM,EVENTS,,"For each record +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,OOM,PERSONS,,Select all the distinct values of IDUNI having at least one record with COD_REGIONE=’090’; for each of them select the values as follows, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,OOM,OBSERVATION_PERIODS,,"For each record with COD_REGIONE=’090’, fill the column of this table as follows", +ARS_PS,PS,OOM,EVENTS,,"For each record ● Create one record of EVENTS where the variable event_code is filled with diagnosi_princ; then for those records of PS whose ‘prognosi_testo’ is non empty, create a second record and use prognosi_testo to fill event_free_text ● Copy the values of PS into EVENTS according to the following table", -COD_FARMACI_SPF,COD_FARMACI_SPF,OOM_CDM,PRODUCTS,,"For each record of each child, perform record linkage with CAP1 and fill the column of this table as follows", -RMR,RMR,OOM_CDM,SURVEY_ID,,"For each record +COD_FARMACI_SPF,COD_FARMACI_SPF,OOM,PRODUCTS,,"For each record of each child, perform record linkage with CAP1 and fill the column of this table as follows", +RMR,RMR,OOM,SURVEY_ID,,"For each record ● Create one record of SURVEY_ID and number the records with a sequential number stored in survey_id ● Copy the values of RMR into SURVEY_ID according to the following table", -RMR,RMR,OOM_CDM,SURVEY_OBSERVATIONS,,"For each record +RMR,RMR,OOM,SURVEY_OBSERVATIONS,,"For each record ● Extract from SURVEY_ID (above) the corresponding value of survey_id ● Create a record of SURVEY_OBSERVATIONS for each non-empty cell in the list below: a. CAUSAMORTE @@ -40,18 +40,18 @@ f. LUOGO g. LUOGOACC h. MEV_GD i. MEV_TI", -SALM,SALM,OOM_CDM,EVENTS,,"For each record +SALM,SALM,OOM,EVENTS,,"For each record ● Create one record of EVENTS for each non-empty value of DIAGNOSI_PRINCIPALE, COMORBIDITA_1, COMORBIDITA_2 ● Copy the values of SALM into EVENTS according to the following table", -SEA,SEA,OOM_CDM,EVENTS,,"For each record +SEA,SEA,OOM,EVENTS,,"For each record ● Create a record of EVENTS ● Copy the values of SEA into EVENTS according to the following table", -SPA,SPA,OOM_CDM,PROCEDURES,,"For each record having CODPRES not in the following list: ’89.01’ or ‘89.7’ or ‘95.02’ or ‘95.01’: +SPA,SPA,OOM,PROCEDURES,,"For each record having CODPRES not in the following list: ’89.01’ or ‘89.7’ or ‘95.02’ or ‘95.01’: ● Create a record of PROCEDURES ● Copy the values of SPA into PROCEDURES according to the following table", -SPA,SPA,OOM_CDM,VISIT_OCCURRENCE,,"For each record with CODPRES=’89.01’ or ‘89.7’ or ‘95.02’ or ‘95.01’: +SPA,SPA,OOM,VISIT_OCCURRENCE,,"For each record with CODPRES=’89.01’ or ‘89.7’ or ‘95.02’ or ‘95.01’: ● Create a record of VISIT_OCCURRENCE and label the records with a unique code stored in visit_occurrence_id (primary key) ● Copy the values of SPA into VISIT_OCCURRENCE according to the following table", -SPF,SPF,OOM_CDM,MEDICINES,,"For each record +SPF,SPF,OOM,MEDICINES,,"For each record ● Create a record of MEDICINES ● Copy the values of SPF into MEDICINES according to the following table", diff --git a/data/_demodata/applications/datacatalogue/Mapped variables.csv b/data/_demodata/applications/datacatalogue/Mapped variables.csv new file mode 100644 index 0000000000..fcec023dc4 --- /dev/null +++ b/data/_demodata/applications/datacatalogue/Mapped variables.csv @@ -0,0 +1,5911 @@ +source,source dataset,source variables,source variables other datasets.dataset,source variables other datasets.name,target,target dataset,target variable,match,status,description,syntax,comments,repeat_num,repeats +GenR,core,,,,LifeCycle,outcome,dbp_,na,,,,,18,"0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215" +GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle,outcome,dbp_,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. +IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. +IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. +IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. +end repeat print. +Execute. + +*Change levels to scale. +variable level dbp_0 to dbp_215 (SCALE).",,22,"22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143" +NFBC1966,core,,,,LifeCycle,core,agebirth_m_y,complete,final,,,,, +NFBC1966,core,,,,LifeCycle,core,plurality,complete,final,,,,, +NFBC1966,core,,,,LifeCycle,core,weight_who_ga,complete,final,,Syntax was long (available when asked),,, +NFBC1966,core,,,,LifeCycle,core,apgar,partial,final,Apgar-scores at the age of 15 minutes,,,, +NFBC1966,core,,,,LifeCycle,core,death_child_age,complete,final,,,,, +NFBC1966,core,,,,LifeCycle,core,cohort_id,complete,final,New variable conducted based on the cohort (NFBC1966),,,, +NFBC1966,core,,,,LifeCycle,core,death_p_age,complete,final,Age of the child at the time of the father's death (continuous in days) (value 99999 means that child had died before father),,,, +NFBC1966,core,,,,LifeCycle,core,mental_exp,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked),,3,"0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17" +NFBC1966,core,,,,LifeCycle,core,mother_id,complete,final,,,,, +NFBC1966,core,,,,LifeCycle,core,pets_,partial,final,"When you were younger than 7 years old did you have in your home? A cat, A dog , Other pets with furry or feathers 1) no 2) yes . All the variables were recoded 1) yes 0) no","COMPUTE pets_7=SUM(C6631C_ZT_017_1, C6631C_ZT_017_2, C6631C_ZT_017_3). +EXECUTE. RECODE pets_7 (0=0) (1 thru 100=1) INTO pets_7. EXECUTE.",,7,7 +NFBC1966,core,,,,LifeCycle,core,cer_palsy,complete,final,,"RECODE dg1 (351 thru 34309=1) INTO cer_palsy. +EXECUTE.",,, +NFBC1966,core,,,,LifeCycle,core,coh_country,complete,final,New variable conducted based on the country of the cohort (ISO 3166 numeric country codes),,,, +NFBC1966,core,,,,LifeCycle,core,death_child,complete,final,Age of child in days when died,IF (kuolinika_pv < 18622) death_child=1. EXECUTE. RECODE death_child (SYSMIS=0). EXECUTE.,,, +NFBC1966,core,,,,LifeCycle,core,agebirth_p_y,complete,final,,,,, +NFBC1966,core,,,,LifeCycle,core,breastfed_any,partial,final,"Brestfeed duration with categories: 1) Never, 2) 1 months, 3) months, 4) 6 months",RECODE y1_7 (4=0) (3=1) (2=3) (1=6) INTO breastfed_any.EXECUTE.,,, +NFBC1966,core,,,,LifeCycle,core,neo_unit,partial,final,1) yes 2) no,were coded to 0) no 1) yes,,, +NFBC1966,core,,,,LifeCycle,core,outcome,partial,final,"Child live/dead born1) 1 alive 2) 1 stillbirth 3) 2 alive 4) 2 stillbirths 5) 1 alive, 1 stillbirth",Original codings were used,,, +NFBC1966,core,,,,LifeCycle,core,ga_lmp,complete,final,In original variable was reported in weeks and was recalculated for days,COMPUTE ga_lmp= C6600Q_F12v095 * 7 + 3.5.,,, +NFBC1966,core,,,,LifeCycle,core,plac_abrup,complete,final,Where there some of the following? ablatio placenta,RECODE C6600_F8V038 (2=0) (1=1) INTO plac_abrup. EXECUTE,,, +NFBC1966,core,,,,LifeCycle,core,height_m,complete,final,"Height was informed in numbers leaving full hundreds away and value 00 meant not know in original variable, therefore full hundreds were included and 00 were coded as missing",,,, +NFBC1966,core,,,,LifeCycle,core,preg_fever,complete,final,Has there been fever (over 38 degrees) during the pregnancy? with options 1) yes 2) no,were coded to 0) no 1) yes,,, +NFBC1966,core,,,,LifeCycle,core,preg_gain,partial,final,"C6600_F8V063 mother's weight (kg), when she came to hospital and modified version prepreg_weight from the variable C6600Q_F12v058",COMPUTE preg_gain=C6600_F8V063 - prepreg_weight.EXECUTE,,, +NFBC1966,core,,,,LifeCycle,core,birth_weight,complete,final,Birth weight (only variable name changed),,,, +NFBC1966,core,,,,LifeCycle,core,child_id,complete,final,Project id number,,,, +NFBC1966,core,,,,LifeCycle,core,sex,complete,final,only variable name changed,1)male 2)female,,, +NFBC1966,core,,,,LifeCycle,core,death_p,complete,final,Used as a indicator variable of father's dead (value 99999 means that child had died before father),RECODE ika_pv_isa_kuoli (99999=0) (SYSMIS=0) (-303 thru =18710) INTO death_m. EXECUTE.,,, +NFBC1966,core,,,,LifeCycle,core,preg_thyroid,partial,final,Only information concerning thyrotoxicosis available and not covering the whole pregnancy with options 1) yes 2) no,were coded to 0) no 1) yes,,, +NFBC1966,core,,,,LifeCycle,core,death_m,complete,final,Used as a indicator variable of mother's dead (value 99999 means that child had died before mother),RECODE ika_pv_aiti_kuoli (99999=0) (SYSMIS=0) (0 thru 18715=1) INTO death_m. EXECUTE.,,, +NFBC1966,core,,,,LifeCycle,core,birth_year,complete,final,Birth month and year from register separated to year,,,, +NFBC1966,core,,,,LifeCycle,core,latepreg_weight_ga,complete,final,,see late latepreg_weight syntax,,, +NFBC1966,core,,,,LifeCycle,core,prepreg_weight,partial,final,"Variable name changed, 0 meant in original variable as not known and was coded as missing, if prepregnancy weight was not known, and first maternity clinic visit was during IV month or earlier and weight was measured this value was used.",,,, +NFBC1966,core,,,,LifeCycle,core,plac_weight,partial,final,"Placenta weight, weight was reported with the accuracy of 10g. For example 570 was coded as 57. If there were twins and there are more than one placenta, weights of placentas are counted up and then diveded by two.",COMPUTE plac_weight=C6600Q_F12v089 * 10.EXECUTE.,,, +NFBC1966,core,,,,LifeCycle,core,parity_m,partial,final,How many deliveries has mothed had?,RECODE C6600Q_F12v060 (0=0) (1=1) (2=2) (3=3) (4 thru 100=4) INTO parity_m. EXECUTE,,, +NFBC1966,core,,,,LifeCycle,core,occup_f1_,partial,final,"Asked at the 14-year questionnaire, father is 1) working, 2) unemployed, 3) on sick leave 4) is on illness, retirement- or old-age pension,5) student",RECODE C6614Q_NTT_043 (1=1) (2=3) (5=4) (3 thru 4=6) INTO occup_f1_14. EXECUTE,,14,14 +NFBC1966,core,,,,LifeCycle,core,weight_,complete,final,Repeated measures of child's weight between the ages of 0- and <1 mont to >-215 and 216 months,vector weight_(215) / height_(215).loop #i = 1 to 215 by 1.IF((C66_age_years >= #i/12) & (C66_age_years< (#i+1)/12)) weight_(#i)=C66_weight.IF ( (C66_age_years >= #i/12) & (C66_age_years< (#i+1)/12)) height_(#i)=C66_height.end loop.EXECUTE.,,1,"1, 215" +NFBC1966,core,,,,LifeCycle,core,occup_f1_,partial,final,"Father's social status 1) employer,entrepreneur,2) manager,officer, 3) worker 4) assisting family member 0) does not have occupation",RECODE C6600Q_F12v020 (2=1) (3=1) (1=2) (4=5) (9=SYSMIS) (0=0) INTO occup_f1_0.,,0,0 +NFBC1966,core,,,,LifeCycle,core,birth_length,complete,final,Birth leght (only variable name changed),,,, +NFBC1966,core,,,,LifeCycle,core,occup_m_,partial,final,"Child's mother 1) idoes not work outside home (housewife), 2) works outside of home 3) is now unemployed , 4) is on sick leave, 5) is on illness, retirement- or old age pension, 6) has a part-time job, 7) works occasionally 9) no information, 0) not concerning the subject (students are included in the category 1). Classes 9 and 0 were coded as system-missing .",RECODE C6614Q_NTT_039 (2=1) (6=1) (7=1) (3=3) (1=5) (4 thru 5=6) INTO occup_m_14. EXECUTE,,14,14 +NFBC1966,core,,,,LifeCycle,core,preg_psych,partial,final,"Has the mother's mood been during this pregnancy? 1) ordinary, 2) depressed, 3) very depressed (depressed and very depressed were combined)",ordinary were coded as 0) no and depressed 1) yes,,, +NFBC1966,core,,,,LifeCycle,core,height_,complete,final,Repeated measures of child's height between the ages of 0- and <1 mont to >-215 and 216 months,vector weight_(215) / height_(215).loop #i = 1 to 215 by 1.IF((C66_age_years >= #i/12) & (C66_age_years< (#i+1)/12)) weight_(#i)=C66_weight.IF ( (C66_age_years >= #i/12) & (C66_age_years< (#i+1)/12)) height_(#i)=C66_height.end loop.EXECUTE.,,215,"1, 215" +NFBC1966,core,,,,LifeCycle,core,cohab_,partial,final,"Marital status of the mother was asked during pregnancy and used as a measure of cohabitation. Original categories were 0) not known, 1) married, 2) unmarried, 3) widowed, 4) divorced.",C6600Q_F12v002 (0=SYSMIS) (1=1) (2 thru 4=2) INTO cohab_0. EXECUTE,,0,0 +NFBC1966,core,,,,LifeCycle,core,smk_t,complete,final,"Number of cigarettes/pipefuls the mother smoked per day during the last three months of pregnancy? 0) 0, 1) 1-5 cigarettes 2) 6-10 cigarettes 3) 11-15 cigarettes 4) 16-20 cigarettes 5) 21 or more cigarettes 6) 1-3 pipefuls 8) 9 or more pipefuls 9) not known",RECODE C6600Q_F12v077 (0=0) (9=SYSMIS) (1 thru 8=1) INTO smk_t3. EXECUTE.,,3,3 +NFBC1966,core,,,,LifeCycle,core,preg_no,complete,final,,,,, +NFBC1966,core,,,,LifeCycle,core,child_no,complete,final,,,,, +NFBC1966,core,,,,LifeCycle,core,preg_gain_mes,complete,final,New variable conducted,,,, +NFBC1966,core,,,,LifeCycle,core,cohab_,complete,final,"Whether mother (C6614Q_NTT_037) and father ( C6614Q_NTT_041) were 1) alive, 2) dead or 3 ) lives, but does not live at home ( was asked at the 14-year follow-up by the questionnaire). In addition,in C6614Q_NTT_037 concerning mother option 9) meant no information and in variable C6614Q_NTT_041 concerning father option 4) meant I don't know anything about him and these 9 and 4 were coded as system-missing.","IF (C6614Q_NTT_037=2 and C6614Q_NTT_041=1) cohab_14=2. +IF (C6614Q_NTT_037=1 and C6614Q_NTT_041=2) cohab_14=2. +IF (C6614Q_NTT_037=1 and C6614Q_NTT_041=3) cohab_14=2. +IF (C6614Q_NTT_037=3 and C6614Q_NTT_041=1 ) cohab_14=2. +IF (C6614Q_NTT_037=1 and C6614Q_NTT_041=1) cohab_14=1. +IF (C6614Q_NTT_037=2 and C6614Q_NTT_041=2) cohab_14=2. +IF (C6614Q_NTT_037=3 and C6614Q_NTT_041=3) cohab_14=2. +EXECUTE.",,14,14 +NFBC1966,core,,,,LifeCycle,core,occup_m_,partial,final,"Has the mother been in paid employment outside of the home during this pregnancy? 0) not known, 1) no at all, 2,) mostly part-time, 3) full-time",RECODE C6600Q_F12v021 (1=6) (0=6) (2 thru 3=1) INTO occup_m_0. EXECUTE.,,0,0 +NFBC1966,core,,,,LifeCycle,core,prepreg_smk,complete,final,"During the 12 months preceding the pregnancy, did the mother smoke at least one cigarette or pipeful of tobacco a day? 0=no, 1= cigrettes, 2, pipe, 9 not known",RECODE C6600Q_F12v052 (0=0) (9=SYSMIS) (1 thru 2=1) INTO prepreg_smk. EXECUTE.,,, +NFBC1966,core,,,,LifeCycle,core,breastfed_ever,complete,final,"Brestfeed duration with categories: 1) Never, 2) 1 months, 3) months, 4) 6 months",RECODE breastfed_any (0=0) (1 thru 6=1) INTO breastfed_ever.EXECUTE.,,, +NFBC1966,core,,,,LifeCycle,core,preeclam,partial,final,"1) gestational hypertension (BP 145/95 mmHg or more after 20th gestational week. Normal BP in the early pregnancy i.e. (<20th gestational week). No proteinuria. 2) pre-eclampsia ( BP 145/95 mmHg or more after 20th gestational week. Normal BP in the early pregnancy i.e. (<20th gestational week). Proteinuria at least in one sample during pregnancy). 3) Chronic hypertension a. BP elevated already in early pregnancy ((<20th gestational week), 145/95 mmHg or more, and BP elevated also during whole pregnancy or after pregnancy (6weeks after pregnancy)) b. Chronic hypertension (hypertension essentialis) diagnose registered in questionnaire) 4.) Superimposed pre-eclampsia (chronic hypertension+protenuria, 5) Could not be determinated (all BP values not available 6) not known, 7) Systolic BP elevated Systolic BP >145 and diastolic BP < 95. Includes also women with proteinuria. 8.) Normotensive- BP under 145/95 and is not included in any of the above mentioned groups.9.) DiastolicBP elevated (Diastolic BP >95 and systolic BP < 145, Includes also women with proteinuria). In the 1960's , BP was recorded by rounding up or down to the nearest 5mmHg, thus values >=145/95 represent hypertension.",RECODE C6600_UURRHYLK (1=0) (2=1) (3=0) (4=1) (5=0) (6=SYSMIS) (7 thru 9=0) INTO preeclam.EXECUTE.,,, +NFBC1966,core,,,,LifeCycle,core,preg_plan,partial,final,"The mother considers this pregnancy 1) happened at an appropriate time, 2) would have been more desirable later 3) would not have been wanted 0) not known,",RECODE C6600Q_F12v050 (3=2) (0=SYSMIS) (1 thru 2=1) INTO preg_plan,,, +NFBC1966,core,,,,LifeCycle,core,smk_t,partial,final,Mother smoking at 2 month: 0) not known 1) continued 2) stopped 3) did not smoked,RECODE C6600Q_F12v114 (0=SYSMIS) (3=0) (1 thru 2=1) INTO smk_t1. EXECUTE,,1,1 +NFBC1966,core,,,,LifeCycle,core,death_m_age,complete,final,Age of the child at the time of the mother's death (continuous in days) (value 99999 means that child had died before mother),,,, +NFBC1966,core,,,,LifeCycle,core,smk_exp,complete,final,"Father's smoking 1) never 2) sometimes, but not nowdays,3) smokes, 4) don't know 0) does not concern the subject",RECODE C6614Q_NTT_045 (1=0) (2=0) (3=1) (4=0) INTO smk_exp14.,,14,14 +NFBC1966,core,,,,LifeCycle,core,famsize_child,partial,final,How many persons belongs to household? How many of them are under 15-year-old? 0) none 1)1 2) 2 3) 3 4) 4 5) 5 6) 6 7) 7 8) 8 or more 9) not known,,,0,0 +NFBC1966,core,,,,LifeCycle,core,famsize_child,partial,final,How many children there are/has been in your family? (C6614Q_NTT_034) Is someone from the children already living away from home? How many? (C6614Q_NTT_035) Is someone from the children died? How many? (C6614Q_NTT_036 ),"COMPUTE lapsiluku_14=C6614Q_NTT_034 - C6614Q_NTT_035 - C6614Q_NTT_036. +EXECUTE. RECODE lapsiluku_14 (-9 thru -1=SYSMIS). +EXECUTE.RECODE lapsiluku_14 (ELSE=Copy) INTO famsize_child14. (lapsiluku_14 means amount of children_14)",,14,14 +NFBC1966,core,,,,LifeCycle,core,edu_m_,partial,final,"0) none or circulating school, 1) 1-4 yrs of elementary school, 2) 5-8 years of elementary school or part of secondary school, 3) 1/2-2 years of vocational school, 4) more than 2 years of vocational school, 5) secondary school, 6) secondary school or more,7) matrixulation examination 8) matrixulation examination and more 9) not known.",RECODE C6600Q_F12v044 (8=1) (9=SYSMIS) (0 thru 5=3) (6 thru 7=2) INTO edu_m_0. EXECUTE.,,0,0 +NFBC1966,core,,,,LifeCycle,core,birth_month,complete,final,Birth month and year from register separated to month,,,, +NFBC1966,core,,,,LifeCycle,core,latepreg_weight,complete,final,,"weight_last_nl = C6600_F8V061 + C6600_F8V062/10; +weight_hospital = C6600_F8V063 + C6600_F8V064/10; + +days_btw_nl_birth = intck('days', last_neuvola_date, birthdate); +ga_days = C6600Q_F12v095*7+3.5; +if C6600Q_F12v095=0 then ga_days = .; +last_neuvola_ga_days = ga_days - days_btw_nl_birth; +if .= 210 then last_neuvola_ga_days = .; + +latepreg_weight = weight_hospital; +if weight_hospital=. and last_neuvola_ga_days >= (32*7+3.5) then latepreg_weight = weight_last_nl; *otetaan viimeisen neuvolakäynnin paino, jos silloin ga >= 32;; +if weight_hospital ne . then latepreg_weight_ga = ga_days; +if weight_hospital=. and weight_last_nl ne . and latepreg_weight ne . then latepreg_weight_ga = last_neuvola_ga_days;",,, +NFBC1966,core,,,,LifeCycle,core,weight_,complete,final,,IF ( C66_age_years >= 0 & C66_age_years< 1/12) weight_0=C66_weight.,,0,0 +NFBC1966,core,,,,LifeCycle,core,fam_splitup,partial,final,,if (cohab_0=1 and cohab_14=1) fam_splitup14=0.if (cohab_0=2 and cohab_14=2) fam_splitup14=0.if (cohab_0=1 and cohab_14=2) fam_splitup14=1.if (cohab_0=2 and cohab_14=1) fam_splitup14=0.EXECUTE.,,14,14 +NFBC1966,core,,,,LifeCycle,core,pets_,partial,final,"How many cows, pigs, sheeps, hens and minks and like are in the household? 0= none and 9) not known. Categorizations concerning the numbers concerning the animals differed . All the variables were firstly coded as 1) yes and 0) no. Not know were coded as missing.","COMPUTE pets_0 =SUM(C6600Q_F12v035, C6600Q_F12v036, C6600Q_F12v037, C6600Q_F12v038. C6600Q_F12v039). +EXECUTE. RECODE pets_0 (0=0) (1 thru 100=1) INTO pets_0. EXECUTE.",,0,0 +NFBC1966,core,,,,LifeCycle,core,con_anomalies,complete,final,"Did child has something clear congenital malformation? 1) no 2) clubfoot 3) hipluxation 4) other limb anomaly 5) teratoma 6) hydrocephalus 7) mouth or harelip 8) congenital heart failure, 9) other anomaly 0) multianomalia",RECODE C6600_F8V048 (0=1) (1=0) (2 thru 9=1) INTO con_anomalies. EXECUTE.,,, +NFBC1966,core,,,,LifeCycle,core,preg_ht,partial,final,"New classification of hypertension during pregnancy: 1) gestational hypertension (BP 145/95 mmHg or more after 20th gestational week. Normal BP in the early pregnancy i.e. (<20th gestational week). No proteinuria. 2) pre-eclampsia ( BP 145/95 mmHg or more after 20th gestational week. Normal BP in the early pregnancy i.e. (<20th gestational week). Proteinuria at least in one sample during pregnancy). 3) Chronic hypertension a. BP elevated already in early pregnancy ((<20th gestational week), 145/95 mmHg or more, and BP elevated also during whole pregnancy or after pregnancy (6weeks after pregnancy)) b. Chronic hypertension (hypertension essentialis) diagnose registered in questionnaire) 4.) Superimposed pre-eclampsia (chronic hypertension+protenuria, 5) Could not be determinated (all BP values not available 6) not known, 7) Systolic BP elevated Systolic BP >145 and diastolic BP < 95. Includes also women with proteinuria. 8.) Normotensive- BP under 145/95 and is not included in any of the above mentioned groups.9.) DiastolicBP elevated (Diastolic BP >95 and systolic BP < 145, Includes also women with proteinuria). In the 1960's , BP was recorded by rounding up or down to the nearest 5mmHg, thus values >=145/95 represent hypertension.",RECODE C6600_UURRHYLK (1=1) (8=0) INTO preg_ht.EXECUTE.,,, +NFBC1966,core,,,,LifeCycle,core,prepreg_cig,partial,final,"If "" yes, "" how many cigarettes/ pipefuls a day? Variable was coded 0= did not smoke, 1= 1-5 cigarettes, 2=6-10 cigarettes, 3=11-15 cigarettes, 4=16-20 cigarettes, 5=≥21 cigarettes, 6=1-3 pipes, 7=4-8 pipes, 8=≥9 pipes, 9= not known",RECODE C6600Q_F12v053 (0=0) (6=1) (7=2) (8=2) (3=2) (4=2) (5=2) (9=SYSMIS) (1 thru 2=1) INTO prereg_cig.EXECUTE,,, +NFBC1966,core,,,,LifeCycle,core,preg_smk,partial,final,"Did the mother change her smoking habits during this pregnancy? 0=mother did not smoke, 1= did not change, 2=quit,3=reduced, 4=increased, 5=no information how changed, but changed anyway, 9=not known",RECODE C6600Q_F12v054 (0=0) (9=SYSMIS) (1=1) (3=1) (4=1) (5=1) (2=1) INTO preg_smk.EXECUTE,,, +NFBC1966,core,,,,LifeCycle,core,preg_cig,partial,final,"Number of cigarettes and pipes after the change. 00=mother did not smoke, 99=not known.",RECODE C6600Q_F12v056 (0=0) (99=SYSMIS) (1 thru 9=1) (10 thru 40=2) INTO preg_cig.EXECUTE,,, +NFBC1966,core,,,,LifeCycle,core,height_,complete,final,,IF ( C66_age_years >= 0 & C66_age_years< 1/12) height_0=C66_height.,,0,0 +NFBC1966,core,,,,LifeCycle,core,mode_delivery,partial,final,"1) In the delivery no operations, 2) caesarian, 3) forecaps, vacuum, 4) helping in breech birth",RECODE C6600_F8V043 (1=1) (3=2) (2=3) (4=4) INTO mode_delivery. EXECUTE.,,, +PELAGIE,harmonized,ADHD_EVAL_7,,,LifeCycle,outcome,adhd_eval_,complete,final,,eval=2;,,7,7 +PELAGIE,pelagie_q0,M37,,,LifeCycle,core,plac_weight,complete,final,,plac_weight=m37;,,, +PELAGIE,harmonized,INT_EVAL_13,,,LifeCycle,outcome,int_eval_,complete,final,,eval=2;,,13,13 +PELAGIE,harmonized,DIETASS_SCH,,,LifeCycle,core,dietass_sch,complete,final,,dietass_sch=1;,,, +PELAGIE,harmonized,INT_EVAL_14,,,LifeCycle,outcome,int_eval_,complete,final,,eval=2;,,14,14 +PELAGIE,harmonized,EXT_EVAL_6,,,LifeCycle,outcome,ext_eval_,complete,final,,eval=2;,,6,6 +PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle,core,height_,complete,final,,/* too long to be provided and many case by case situations */,,164,"133, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169" +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_153=0;,,153,153 +PELAGIE,harmonized,TRICEPSFMES_0,,,LifeCycle,outcome,tricepsfmes_,complete,final,,tricepsfmes_149=0;,,149,149 +PELAGIE,pelagie_q0,"M28,M34",,,LifeCycle,core,birth_head_circum,complete,final,,"birth_head_circum=m28; +if m22 eq 2 and p1 eq 2 then birth_head_circum=m34;",,, +PELAGIE,pelagie_q0,MALFO,,,LifeCycle,core,con_anomalies,complete,final,,"con_anomalies =Malfo; +if con_anomalies ge 1 then con_anomalies=1;",,, +PELAGIE,harmonized,DEATH_M,,,LifeCycle,core,death_m,partial,final,non-exhaustive information,from free text,non-exhaustive information,, +PELAGIE,pelagie_q2,"B128,B129",,,ATHLETE,outcome_ath,n_wheezing_12m_,complete,final,,"if b128=0 then do; b129=0; b130=0; end; +n_wheezing_12m_0=b129;",,0,0 +PELAGIE,pelagie_q2,"B128,B130",,,ATHLETE,outcome_ath,n_wheezing_12m_,complete,final,,"if b128=0 then do; b129=0; b130=0; end; +n_wheezing_12m_1=b130;",,1,1 +PELAGIE,BDD_ethers,MEAA_ENFANT,,,ATHLETE,chemicals_ath,c_meaa_raw_,complete,final,,BDD_ethers$c_meaa_raw_6<-BDD_ethers$MEAA_enfant,,6,6 +PELAGIE,harmonized,OCCUP_F1_14,,,LifeCycle,core,occup_f1_fath,partial,final,Biological father by default,if occup_f1_14 ne . then occup_f1_fath14=1;,Biological father by default,14,14 +PELAGIE,pelagie_q0,MALFO,,,LifeCycle,core,major_con_anomalies,complete,final,,"if malfo eq 1 then major_con_anomalies=1; +else if malfo in (0,2,9) then major_con_anomalies=0;",,, +PELAGIE,harmonized,INT_INSTR_11,,,LifeCycle,outcome,int_instr_,complete,final,,instr=47;,,11,11 +PELAGIE,harmonized,INT_INSTR_12,,,LifeCycle,outcome,int_instr_,complete,final,,instr=47;,,12,12 +PELAGIE,harmonized,PREG_NO,,,LifeCycle,core,preg_no,complete,final,Only 1 pregnancy per mother,preg_no = 1,Only 1 pregnancy per mother,, +PELAGIE,harmonized,CHILD_ID,,,LifeCycle,core,child_id,complete,final,,child_id = mother_id*1000 + child_no,,, +PELAGIE,harmonized,COHORT_ID,,,LifeCycle,core,cohort_id,complete,final,,cohort_id = 127,,, +PELAGIE,pelagie_q0,V4,maj_ddn_2021,DDN_2021,LifeCycle,core,recruit_age,complete,final,,recruit_age = v4 - ddn_2021;,,, +PELAGIE,BDD_cotinine,"COTININE,SGURINEF",,,ATHLETE,chemicals_ath,m_cotinine_raw_t,complete,final,,"BDD_cotinine$m_cotinine_raw_t1<-ifelse(!is.na(BDD_cotinine$COTININE) & BDD_cotinine$SGurineF<=10,BDD_cotinine$COTININE,NA)",,1,1 +PELAGIE,harmonized,ADHD_EVAL_3,,,LifeCycle,outcome,adhd_eval_,complete,final,,eval=2;,,3,3 +PELAGIE,harmonized,COH_COUNTRY,,,LifeCycle,core,coh_country,complete,final,,coh_country=250,,, +PELAGIE,harmonized,WAISTCIRCMES_0,,,LifeCycle,outcome,waistcircmes_,complete,final,,waistcircmes_152=0;,,152,152 +PELAGIE,harmonized,ADHD_EVAL_14,,,LifeCycle,outcome,adhd_eval_,complete,final,,eval=2;,,14,14 +PELAGIE,harmonized,ATT_EVAL_5,,,ATHLETE,outcome_ath,att_eval_,complete,final,,att_eval_5=4;,,5,5 +PELAGIE,pelagie_q0,"M30,M36",,,LifeCycle,core,apgar,complete,final,,"apgar=m30; +if m22 eq 2 and p1 eq 2 then apgar= m36;",,, +PELAGIE,harmonized,EDU_F1_12,,,LifeCycle,core,edu_f1_fath,partial,final,Biological father by default,if edu_f1_12 ne . then edu_f1_fath12=1;,Biological father by default,12,12 +PELAGIE,harmonized,EDU_F1_13,,,LifeCycle,core,edu_f1_fath,partial,final,Biological father by default,if edu_f1_13 ne . then edu_f1_fath13=1;,Biological father by default,13,13 +PELAGIE,harmonized,ADHD_EVAL_2,,,LifeCycle,outcome,adhd_eval_,complete,final,,eval=2;,,2,2 +PELAGIE,harmonized,EDU_F1_14,,,LifeCycle,core,edu_f1_fath,partial,final,Biological father by default,if edu_f1_14 ne . then edu_f1_fath14=1;,Biological father by default,14,14 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_158=age_exam_jour;,,158,158 +PELAGIE,harmonized,OCCUP_F1_7,,,LifeCycle,core,occup_f1_fath,partial,final,Biological father by default,if occup_f1_7 ne . then occup_f1_fath7=1;,Biological father by default,7,7 +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_153=0;,,153,153 +PELAGIE,harmonized,SITTINGHTMES_0,,,LifeCycle,outcome,sittinghtmes_,complete,final,,sittinghtmes_156=0;,,156,156 +PELAGIE,pelagie_q0,"P6,P7",,,LifeCycle,core,neo_unit,complete,final,,"if p7 eq 1 then neo_unit=1; +else if p7 eq 0 then neo_unit=0; +else if p6 eq 0 then neo_unit=0;",,, +PELAGIE,pelagie_q0,M25,,,LifeCycle,core,sex,complete,final,,sex=m25;,,, +PELAGIE,pelagie_q0,M22,,,LifeCycle,core,plurality,complete,final,,plurality=m22;,,, +PELAGIE,harmonized,SITTINGHTMES_0,,,LifeCycle,outcome,sittinghtmes_,complete,final,,sittinghtmes_157=0;,,157,157 +PELAGIE,harmonized,SITTINGHTMES_0,,,LifeCycle,outcome,sittinghtmes_,complete,final,,sittinghtmes_158=0;,,158,158 +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle,outcome,triglyceridesmes_,complete,final,,triglyceridesmes_147=0;,,147,147 +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle,outcome,triglyceridesmes_,complete,final,,triglyceridesmes_148=0;,,148,148 +PELAGIE,harmonized,OCCUP_F1_8,,,LifeCycle,core,occup_f1_fath,partial,final,Biological father by default,if occup_f1_8 ne . then occup_f1_fath8=1;,Biological father by default,8,8 +PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle,outcome,subscapsfmes_,complete,final,,subscapsfmes_156=0;,,156,156 +PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle,outcome,subscapsfmes_,complete,final,,subscapsfmes_155=0;,,155,155 +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_156=0;,,156,156 +PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q0,V5,LifeCycle,core,ga_lmp,complete,final,,ga_lmp=int(ddn_2021-v5),,, +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_149=0;,,149,149 +PELAGIE,harmonized,ADHD_INSTR_7,,,LifeCycle,outcome,adhd_instr_,complete,final,,instr=47;,,7,7 +PELAGIE,harmonized,ADHD_INSTR_8,,,LifeCycle,outcome,adhd_instr_,complete,final,,instr=47;,,8,8 +PELAGIE,harmonized,ADHD_INSTR_13,,,LifeCycle,outcome,adhd_instr_,complete,final,,instr=47;,,13,13 +PELAGIE,harmonized,ADHD_INSTR_14,,,LifeCycle,outcome,adhd_instr_,complete,final,,instr=47;,,14,14 +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_158=0;,,158,158 +PELAGIE,harmonized,EXT_EVAL_14,,,LifeCycle,outcome,ext_eval_,complete,final,,eval=2;,,14,14 +PELAGIE,harmonized,WAISTCIRCMES_0,,,LifeCycle,outcome,waistcircmes_,complete,final,,waistcircmes_150=0;,,150,150 +PELAGIE,harmonized,ADHD_EVAL_8,,,LifeCycle,outcome,adhd_eval_,complete,final,,eval=2;,,8,8 +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_157=0;,,157,157 +PELAGIE,harmonized,ADHD_EVAL_11,,,LifeCycle,outcome,adhd_eval_,complete,final,,eval=2;,,11,11 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_153=age_exam_jour;,,153,153 +PELAGIE,harmonized,ADHD_EVAL_12,,,LifeCycle,outcome,adhd_eval_,complete,final,,eval=2;,,12,12 +PELAGIE,harmonized,ADHD_EVAL_13,,,LifeCycle,outcome,adhd_eval_,complete,final,,eval=2;,,13,13 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_156=age_exam_jour;,,156,156 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_157=age_exam_jour;,,157,157 +PELAGIE,harmonized,WAISTCIRCMES_0,,,LifeCycle,outcome,waistcircmes_,complete,final,,waistcircmes_151=0;,,151,151 +PELAGIE,harmonized,ADHD_EVAL_6,,,LifeCycle,outcome,adhd_eval_,complete,final,,eval=2;,,6,6 +PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle,outcome,subscapsfmes_,complete,final,,subscapsfmes_152=0;,,152,152 +PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle,outcome,subscapsfmes_,complete,final,,subscapsfmes_153=0;,,153,153 +PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle,outcome,subscapsfmes_,complete,final,,subscapsfmes_154=0;,,154,154 +PELAGIE,harmonized,ADHD_EVAL_1,,,LifeCycle,outcome,adhd_eval_,complete,final,,eval=2;,,1,1 +PELAGIE,harmonized,OCCUP_F1_12,,,LifeCycle,core,occup_f1_fath,partial,final,Biological father by default,if occup_f1_12 ne . then occup_f1_fath12=1;,Biological father by default,12,12 +PELAGIE,harmonized,TRICEPSFMES_0,,,LifeCycle,outcome,tricepsfmes_,complete,final,,tricepsfmes_152=0;,,152,152 +PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle,outcome,subscapsfmes_,complete,final,,subscapsfmes_151=0;,,151,151 +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_154=0;,,154,154 +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_155=0;,,155,155 +PELAGIE,BDD_cotinine,"COTININE,SGURINEF",,,ATHLETE,chemicals_ath,m_cotinine_raw_t,complete,final,,"BDD_cotinine$m_cotinine_raw_t2<-ifelse(!is.na(BDD_cotinine$COTININE) & BDD_cotinine$SGurineF>10,BDD_cotinine$COTININE,NA)",,2,2 +PELAGIE,harmonized,ADHD_EVAL_5,,,LifeCycle,outcome,adhd_eval_,complete,final,,eval=2;,,5,5 +PELAGIE,BDD_cotinine,SGURINEF,harmonized,M_COTININE_RAW_T1,ATHLETE,chemicals_ath,m_cotinine_lod_t,complete,final,,"BDD_cotinine$m_cotinine_lod_t1<-ifelse(!is.na(BDD_cotinine$m_cotinine_raw_t1) & BDD_cotinine$SGurineF<=10,0.01,NA)",,1,1 +PELAGIE,pelagie_q0,P1,,,LifeCycle,core,child_no,complete,final,,child_no = P1,,, +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_150=0;,,150,150 +PELAGIE,harmonized,HEIGHT_F1,,,LifeCycle,core,height_f1_fath,partial,final,Biological father by default,if height_f1 ne . then do;height_mes_f1=1;height_f1_fath=1;end;,Biological father by default,, +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_152=age_exam_jour;,,152,152 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_146<-ifelse(pelagie_dosage12$age_exam_mois<147,pelagie_dosage12$Q12_Cholesterol_total,NA)",,146,146 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_158<-ifelse(pelagie_dosage12$age_exam_mois >=158 & pelagie_dosage12$age_exam_mois<159,pelagie_dosage12$Q12_Cholesterol_total,NA)",,158,158 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_146=age_exam_jour;,,146,146 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_147=age_exam_jour;,,147,147 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_148=age_exam_jour;,,148,148 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_149=age_exam_jour;,,149,149 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_150=age_exam_jour;,,150,150 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_151=age_exam_jour;,,151,151 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_156<-ifelse(pelagie_dosage12$age_exam_mois >=156 & pelagie_dosage12$age_exam_mois<157,pelagie_dosage12$Q12_Cholesterol_total,NA)",,156,156 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_157<-ifelse(pelagie_dosage12$age_exam_mois >=157 & pelagie_dosage12$age_exam_mois<158,pelagie_dosage12$Q12_Cholesterol_total,NA)",,157,157 +PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q0,DEBGROSF,LifeCycle,core,ga_us,complete,final,,ga_us=int(((ddn_2021-DEBGROSF)/7)+2)*7,,, +PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320",,,LifeCycle,outcome,adhd_raw_,partial,final,"Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?","array HY{6} b304 b309 b311 b312 b316 b320; +HYi=N(of HY{*}); HYp=HYi/6; +if HYp>=0.75 then do; +score_HY2_raw=sum(of HY{*}); +score_HY2_mean=score_HY2_raw/HYi; +score_HY2_pro=round(score_HY2_mean*6,1); +end; +else do; score_HY2_raw=.; score_HY2_mean=.; score_HY2_pro=.; +end; +array adhd_raw (3) adhd_raw_1-adhd_raw_3; +array adhd_pro (3) adhd_pro_1-adhd_pro_3; +array adhd_mean (3) adhd_avg_1-adhd_avg_3; +do i=1 to 3; +if round_SDQ_age2=i then do; +adhd_raw(i)=score_HY2_raw; +adhd_pro(i)=score_HY2_pro; +adhd_mean(i)=score_HY2_mean; +end; +end;","Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?",1,"1, 2, 3" +PELAGIE,maj_ddn_2021,DDN_2021,datenaisspere,DATE_NAIS_PERE,LifeCycle,core,agebirth_p_d,complete,final,Father date of birth provided from the 6 and/or 12-year-old follow-up.,agebirth_p_d=ddn_2021-Date_nais_Pere;,Father date of birth provided from the 6 and/or 12-year-old follow-up.,, +PELAGIE,harmonized,AGEBIRTH_P_Y,,,LifeCycle,core,agebirth_p_fath,partial,final,Biological father by default,if agebirth_p_y ne . then agebirth_p_fath=1;,Biological father by default,, +PELAGIE,harmonized,COMMENT,,,LifeCycle,core,death_p,partial,final,non exhaustive information,from free text,non exhaustive information,, +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_151=0;,,151,151 +PELAGIE,harmonized,ADHD_PRO_12,,,LifeCycle,outcome,adhd_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ12$adhd_pc_12<-xtile(SDQ12$adhd_pro_12, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,12,12 +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle,outcome,adhd_age_,complete,final,,adhd_age_7=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,7,7 +PELAGIE,pelagie_exam12,"EX51,EX60,EX69",,,LifeCycle,outcome,hipcirc_,complete,final,,"%macro mesure(m1,m2,m3,dif,dif1,dif2,mesure_moy,mindif); +if &m1 ne . and &m2 ne . then &dif=&m1-&m2; +if &m3 ne . then do; +&dif1=&m1-&m3; +&dif2=&m2-&m3; +if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif1) then &mesure_moy= (&m1+&m3)/2; +else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif2) then &mesure_moy= (&m2+&m3)/2; +else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif)then &mesure_moy= (&m1+&m2)/2; +end; +else &mesure_moy= (&m1+&m2)/2; +&mindif=min(abs(&dif1),abs(&dif2),abs(&dif)); +%mend mesure; + +%mesure(ex51,ex60,ex69,difhanch1,difhanch2,difhanch3,T_hanche,mindifth); + +do i = 146 to 158 ; + if age_exam_mois eq i then do; + if T_hanche ne . then do;hipcirc_[i]=T_hanche;hipcircage_[i]=age_exam_jour;hipcircmes_[i]=0;ed; + end; +end;",,146,"146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158" +PELAGIE,maj_ddn_2021,DDN_2021,,,LifeCycle,core,birth_month,complete,final,,birth_month=month(ddn_2021);,,, +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_152=0;,,152,152 +PELAGIE,pelagie_exam12,"AGE_EXAM_MOIS,AGE_EXAM_JOUR",,,LifeCycle,outcome,hipcircage_,complete,final,,"do i = 146 to 158 ; + if age_exam_mois eq i then do; + if T_hanche ne . then do;hipcirc_[i]=T_hanche;hipcircage_[i]=age_exam_jour;hipcircmes_[i]=0;end; + end; +end;",,151,"146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158" +PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle,outcome,subscapsfmes_,complete,final,,subscapsfmes_157=0;,,157,157 +PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle,outcome,subscapsfmes_,complete,final,,subscapsfmes_158=0;,,158,158 +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_151=0;,,151,151 +PELAGIE,pelagie_exam12,"EX52,EX61,EX70",,,LifeCycle,outcome,tricepsf_,complete,final,,"%macro mesure(m1,m2,m3,dif,dif1,dif2,mesure_moy,mindif); +if &m1 ne . and &m2 ne . then &dif=&m1-&m2; +if &m3 ne . then do; +&dif1=&m1-&m3; +&dif2=&m2-&m3; +if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif1) then &mesure_moy= (&m1+&m3)/2; +else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif2) then &mesure_moy= (&m2+&m3)/2; +else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif)then &mesure_moy= (&m1+&m2)/2; +end; +else &mesure_moy= (&m1+&m2)/2; +&mindif=min(abs(&dif1),abs(&dif2),abs(&dif)); +%mend mesure; + +%mesure(ex52,ex61,ex70,diftri1,diftri2,diftri3,Pli_tricipital,mindifpt); + +do i = 146 to 158 ; + if age_exam_mois eq i then do; +if Pli_tricipital ne . then do;tricepsf_[i]=Pli_tricipital;tricepsfage_[i]=age_exam_jour;tricepsfmes_[i]=0;end; + end; +end;",,146,"146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158" +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,hdlcage_,complete,final,,hdlcage_158=age_exam_jour;,,158,158 +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_146=0;,,146,146 +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_147=0;,,147,147 +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_148=0;,,148,148 +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_149=0;,,149,149 +PELAGIE,harmonized,HDLCMES_146,,,LifeCycle,outcome,hdlcmes_,complete,final,,hdlcmes_150=0;,,150,150 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_147<-ifelse(pelagie_dosage12$age_exam_mois >=147 & pelagie_dosage12$age_exam_mois<148,pelagie_dosage12$Q12_Cholesterol_total,NA)",,147,147 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_155=age_exam_jour;,,155,155 +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_146=0;,,146,146 +PELAGIE,pelagie_q0,"M21,DEBGROSF",maj_ddn_2021,DDN_2021,LifeCycle,core,ga_bj,complete,final,,"ga_bj=m21; +if ga_bj=. Then ga_bj=ga_us;",,, +PELAGIE,maj_ddn_2021,DDN_2021,datenaisspere,DATE_NAIS_PERE,LifeCycle,core,agebirth_p_y,complete,final,Father date of birth provided from the 6 and/or 12-year-old follow-up.,agebirth_p_y=int((ddn_2021-Date_nais_Pere)/365.2422);,Father date of birth provided from the 6 and/or 12-year-old follow-up.,, +PELAGIE,harmonized,OCCUP_F1_13,,,LifeCycle,core,occup_f1_fath,partial,final,Biological father by default,if occup_f1_13 ne . then occup_f1_fath13=1;,Biological father by default,13,13 +PELAGIE,harmonized,COMMENT,,,LifeCycle,core,death_p_age,partial,final,"non exhaustive information; we have the month and year of the father's death. To calculate the age of the child, we have imputed the day by the value 15.",from free text,"non exhaustive information; we have the month and year of the father's death. To calculate the age of the child, we have imputed the day by the value 15.",, +PELAGIE,harmonized,COMMENT,,,LifeCycle,core,death_p_fath,partial,final,"non exhaustive information : received on commentary, email, … (not systematically recorded)",from free text,"non exhaustive information : received on commentary, email, … (not systematically recorded)",, +PELAGIE,harmonized,WEIGHT_F1,,,LifeCycle,core,weight_f1_fath,partial,final,Biological father by default,if weight_f1 ne . then do;weight_mes_f1=1;weight_f1_fath=1;end;,Biological father by default,, +PELAGIE,pelagie_q12,SP_Q2_2,,,LifeCycle,core,height_f,complete,final,,height_f1=sp_q2_2;,,1,1 +PELAGIE,harmonized,HEIGHT_F1,,,LifeCycle,core,height_mes_f,complete,final,,if height_f1 ne . then do;height_mes_f1=1;height_f1_fath=1;end;,,1,1 +PELAGIE,harmonized,OCCUP_F1_6,,,LifeCycle,core,occup_f1_fath,partial,final,Biological father by default,if occup_f1_6 ne . then occup_f1_fath6=1;,Biological father by default,6,6 +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_148=0;,,148,148 +PELAGIE,pelagie_q0,"M27,M33",,,LifeCycle,core,birth_length,complete,final,,"birth_length=m27; +if m22 eq 2 and p1 eq 2 then birth_length=m33;",,, +PELAGIE,pelagie_q2,C614,,,LifeCycle,core,occup_f1_,partial,final,"occup_f_1, _2, or _3 was filled in according to the exact age of the child when the parents answered to the 2yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""","if c614 eq 3 then occup_f1_2=1; +else if c614 eq 0 then occup_f1_2=4; +else if c614 eq 1 then occup_f1_2=3; +else if c614 eq 2 then occup_f1_2=6; + +if ageq2 eq 1 then do; +occup_f1_1=occup_f1_2;occup_f1_2=.; +end; +if ageq2 eq 3 then do; +occup_f1_3=occup_f1_2;occup_f1_2=.; +end;","occup_f_1, _2, or _3 was filled in according to the exact age of the child when the parents answered to the 2yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""",1,"1, 2, 3" +PELAGIE,pelagie_q12,APP_Q4,,,LifeCycle,core,edu_f1_,complete,final,,"if APP_q4 eq 1 then edu_f1_12=3; +else if APP_q4 in (2) then edu_f1_12=2; +else if APP_q4 in (3 4 5 6) then edu_f1_12=1; + +if ageq12 eq 13 then do; +edu_f1_13=edu_f1_12;edu_f1_12=.; +end; + +if ageq12 eq 14 then do; +edu_f1_14=edu_f1_12;edu_f1_12=.; +end;",,12,"12, 13, 14" +PELAGIE,harmonized,M_CREATININE_LOD_T1,,,ATHLETE,chemicals_ath,m_creatinine_lod_t,complete,final,,BDD_creatinine$m_creatinine_lod_t1<-NA,,1,1 +PELAGIE,harmonized,M_CREATININE_LOD_T2,,,ATHLETE,chemicals_ath,m_creatinine_lod_t,complete,final,,BDD_creatinine$m_creatinine_lod_t2<-NA,,2,2 +PELAGIE,BDD_creatinine,CHILDCREAT,,,ATHLETE,chemicals_ath,c_creatinine_raw_,complete,final,,"BDD_creatinine$c_creatinine_raw_6<-ifelse(!is.na(BDD_creatinine$CHILDCREAT),BDD_creatinine$CHILDCREAT,NA)",,6,6 +PELAGIE,harmonized,C_CREATININE_LOD_6,,,ATHLETE,chemicals_ath,c_creatinine_lod_,complete,final,,BDD_creatinine$c_creatinine_lod_6<-NA,,6,6 +PELAGIE,BDD_mercure,HG,,,ATHLETE,chemicals_ath,m_hg_raw_t,complete,final,,BDD_mercure$m_hg_raw_t3<-BDD_mercure$Hg,,3,3 +PELAGIE,harmonized,M_HG_RAW_T3,,,ATHLETE,chemicals_ath,m_hg_lod_t,complete,final,,"BDD_mercure$m_hg_lod_t3<-ifelse(!is.na(BDD_mercure$m_hg_raw_t3),0.02,NA)",,3,3 +PELAGIE,BDD_cotinine,SGURINEF,harmonized,M_COTININE_RAW_T2,ATHLETE,chemicals_ath,m_cotinine_lod_t,complete,final,,"BDD_cotinine$m_cotinine_lod_t2<-ifelse(!is.na(BDD_cotinine$m_cotinine_raw_t2) & BDD_cotinine$SGurineF>10,0.01,NA)",,2,2 +PELAGIE,BDD_cotinine,CHILDCOTININE,,,ATHLETE,chemicals_ath,c_cotinine_raw_,complete,final,,BDD_cotinine$c_cotinine_raw_6<-BDD_cotinine$CHILDCOTININE,,6,6 +PELAGIE,harmonized,C_COTININE_RAW_6,,,ATHLETE,chemicals_ath,c_cotinine_lod_,complete,final,,"BDD_cotinine$c_cotinine_lod_6<-ifelse(!is.na(BDD_cotinine$c_cotinine_raw_6y),0.01,NA)",,6,6 +PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle,core,height_age,complete,final,,/* too long to be provided and many case by case situations */,,148,"133, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169" +PELAGIE,pelagie_q12,SP_Q4_2_5,,,LifeCycle,core,dia_bf,partial,final,Biological/social father not specified. Data collected at the 12yo follow-up,"if SP_Q4_2_5 eq 1 then dia_bf=4; +else if SP_Q4_2_5 eq 0 then dia_bf=1;",Biological/social father not specified. Data collected at the 12yo follow-up,, +PELAGIE,pelagie_q6,"QS6_C36,QS6_C36_CHEZ_LEQUEL",pelagie_q12,SP_Q4_2_1,LifeCycle,core,asthma_bf,partial,final,Biological/social father not specified; data collected at 6 and/or 12yo,"if QS6_C36_Chez_Lequel in (2,3) or SP_Q4_2_1 eq 1 then asthma_bf=1; +else if QS6_C36 ne . or SP_Q4_2_1 ne . then asthma_bf=0;",Biological/social father not specified; data collected at 6 and/or 12yo,, +PELAGIE,pelagie_q0,"M26,M32",,,LifeCycle,core,birth_weight,complete,final,,"birth_weight=m26; +if m22 eq 2 and p1 eq 2 then birth_weight=m32;",,, +PELAGIE,harmonized,COMMENT,,,LifeCycle,core,death_child_age,partial,final,Non-exhaustive,from free text,Non-exhaustive,, +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle,outcome,adhd_age_,complete,final,,adhd_age_8=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,8,8 +PELAGIE,pelagie_q0,V166,,,LifeCycle,core,prepreg_weight,complete,final,,prepreg_weight=v166;,,, +PELAGIE,pelagie_q0,"V194,V197,V198",,,LifeCycle,core,smk_p,partial,final,Biological/social father not specified; question missing in the first version of the questionnaire (= high missing rate),"mois_tabac_pere=v197; annee_tabac_pere=v198; + +if v198 ne . & v197=. then mois_tabac_pere=""12""; + /* creation de la date d'arret du tabac du pere*/ + if v197 ne . or v198 ne . then date_arret_tab_pere=""15/""!!mois_tabac_pere!!""/""!!annee_tabac_pere; + else if v197=. & v198=. then date_arret_tab_pere=""""; + if date_arret_tabac_pere ne . then date_arret_tabac_pere=input(date_arret_tab_pere,ddmmyy10.); + /* creation de la variable sur le tabagisme du pere au cours de la grossesse */ + if v194=0 then smk_p=0; + else if v194=. and v197=. and v198=. then smk_p=.; + else if v194=1 and date_arret_tabac_pere=. then smk_p=1; + else if v194=1 and date_arret_tabac_pere ne . and date_arret_tabac_pere>debgrosf then smk_p=1; + else if v194=1 and date_arret_tabac_pere ne . and date_arret_tabac_pere<=debgrosf then smk_p=0;",Biological/social father not specified; question missing in the first version of the questionnaire (= high missing rate),, +PELAGIE,pelagie_q0,"V195,V194,V197,V198",,,LifeCycle,core,smk_cig_p,partial,final,Biological/social father not specified; question missing in the first version of the questionnaire (= high missing rate),"if smk_p eq 1 and v195 eq . then smk_cig_p=.; +else if smk_p eq 1 and v195 ne . and v195 lt 10 then smk_cig_p=1; +else if smk_p eq 1 and v195 ge 10 then smk_cig_p=2; +else if smk_p eq 0 then smk_cig_p=0;",Biological/social father not specified; question missing in the first version of the questionnaire (= high missing rate),, +PELAGIE,harmonized,SMK_P,,,LifeCycle,core,smk_fath,partial,final,Biological father by default,if smk_p ne . then smk_fath=1;,Biological father by default,, +PELAGIE,maj_ddn_2021,DDN_2021,,,LifeCycle,core,birth_year,complete,final,,birth_year=year(ddn_2021);,,, +PELAGIE,pelagie_q0,"V22,V27,V32,V37,V42,V47,V203,V208",,,LifeCycle,core,sibling_pos,complete,final,,"nv=.; +if parity_m ne . then nv=1; +if v22=1 then nv=nv+1; +if v27=1 then nv=nv+1; +if v32=1 then nv=nv+1; +if v37=1 then nv=nv+1; +if v42=1 then nv=nv+1; +if v47=1 then nv=nv+1; +if v203=1 then nv=nv+1; +if v208=1 then nv=nv+1; +sibling_pos=nv; +if sibling_pos ge 5 then sibling_pos=5;",,, +PELAGIE,harmonized,COMMENT,,,LifeCycle,core,death_child,partial,final,Non-exhaustive,from free text,Non-exhaustive,, +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle,outcome,adhd_age_,complete,final,,adhd_age_11=(DATE-ddn_2021)/365.2422;,,11,11 +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle,outcome,adhd_age_,complete,final,,adhd_age_12=(DATE-ddn_2021)/365.2422;,,12,12 +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle,outcome,adhd_age_,complete,final,,adhd_age_13=(DATE-ddn_2021)/365.2422;,,13,13 +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle,outcome,adhd_age_,complete,final,,adhd_age_14=(DATE-ddn_2021)/365.2422;,,14,14 +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_147=0;,,147,147 +PELAGIE,harmonized,ADHD_INSTR_1,,,LifeCycle,outcome,adhd_instr_,partial,final,"Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?",instr=13;,"Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?",1,1 +PELAGIE,harmonized,ADHD_INSTR_2,,,LifeCycle,outcome,adhd_instr_,partial,final,"Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?",instr=13;,"Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?",2,2 +PELAGIE,pelagie_q0,V1_V2_V3,,,LifeCycle,core,mother_id,complete,final,,random number,,, +PELAGIE,harmonized,ADHD_INSTR_3,,,LifeCycle,outcome,adhd_instr_,partial,final,"Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?",instr=13;,"Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?",3,3 +PELAGIE,harmonized,ADHD_INSTR_5,,,LifeCycle,outcome,adhd_instr_,complete,final,,instr=47;,,5,5 +PELAGIE,harmonized,ADHD_INSTR_6,,,LifeCycle,outcome,adhd_instr_,complete,final,,instr=47;,,6,6 +PELAGIE,pepsy,WISCC,,,LifeCycle,outcome,nvi_pro_,partial,final,Only 1 task : Cubes to assess Perceptive Reasoning,"array NV{1} WISCc; NVi=N(of NV{*}); NVp=NVi/1; if NVp>=0.75 then do; +NV12_raw=sum(of NV{*}); +NV12_mean=NV12_raw/NVi; +NV12_pro=round(NV12_mean*1,1); +end;",Only 1 task : Cubes to assess Perceptive Reasoning,6,6 +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_152=0;,,152,152 +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_154=0;,,154,154 +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_155=0;,,155,155 +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_156=0;,,156,156 +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_157=0;,,157,157 +PELAGIE,harmonized,CHOLMES_146,,,LifeCycle,outcome,cholmes_,complete,final,,cholmes_158=0;,,158,158 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_146<-ifelse(pelagie_dosage12$age_exam_mois<147 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,146,146 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_147<-ifelse(pelagie_dosage12$age_exam_mois >=147 & pelagie_dosage12$age_exam_mois<148 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,147,147 +PELAGIE,pelagie_q0,"M25,M26,M32,M21,DEBGROSF",maj_ddn_2021,DDN_2021,LifeCycle,core,weight_who_ga,complete,final,,"term_mater_2021=ga_bj/7; +if birth_weight ne . then do; + if sex eq 1 and term_mater_2021 = 17 and birth_weight <= 152 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 17 and 152 =219 then weight_who_ga=3; + if sex eq 1 and term_mater_2021 = 18 and birth_weight <= 188 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 18 and 188 =271 then weight_who_ga=3; + if sex eq 1 and term_mater_2021 = 19 and birth_weight <= 232 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 19 and 232 =333 then weight_who_ga=3; + if sex eq 1 and term_mater_2021 = 20 and birth_weight <= 282 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 20 and 282 =405 then weight_who_ga=3; + if sex eq 1 and term_mater_2021 = 21 and birth_weight <= 341 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 21 and 341 =489 then weight_who_ga=3; + if sex eq 1 and term_mater_2021 = 22 and birth_weight <= 408 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 22 and 408 =586 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 23 and birth_weight <= 484 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 23 and 484 =695 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 24 and birth_weight <= 570 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 24 and 570 =818 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 25 and birth_weight <= 666 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 25 and 666 =956 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 26 and birth_weight <= 772 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 26 and 772 =1109 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 27 and birth_weight <= 888 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 27 and 888 =1276 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 28 and birth_weight <= 1014 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 28 and 1014 =1458 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 29 and birth_weight <= 1149 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 29 and 1149 =1654 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 30 and birth_weight <= 1293 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 30 and 1293 =1863 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 31 and birth_weight <= 1445 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 31 and 1445 =2085 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 32 and birth_weight <= 1605 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 32 and 1605 =2319 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 33 and birth_weight <= 1770 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 33 and 1770 =2562 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 34 and birth_weight <= 1941 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 34 and 1941 =2814 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 35 and birth_weight <= 2114 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 35 and 2114 =3072 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 36 and birth_weight <= 2290 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 36 and 2290 =3334 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 37 and birth_weight <= 2466 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 37 and 2466 =3598 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 38 and birth_weight <= 2641 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 38 and 2641 =3863 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 39 and birth_weight <= 2813 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 39 and 2813 =4125 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 40 and birth_weight <= 2880 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 40 and 2880 4251 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 41 and birth_weight <= 2921 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 41 and 2921 4459 then weight_who_ga=3; + + if sex eq 1 and term_mater_2021 = 42 and birth_weight <= 2845 then weight_who_ga=1; + if sex eq 1 and term_mater_2021 = 42 and 2845 4659 then weight_who_ga=3; +/*female*/ + if sex eq 2 and term_mater_2021 = 17 and birth_weight <= 145 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 17 and 145 =211 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 18 and birth_weight <= 180 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 18 and 180 =261 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 19 and birth_weight <= 221 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 19 and 221 =319 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 20 and birth_weight <= 269 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 20 and 269 =387 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 21 and birth_weight <= 324 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 21 and 324 =466 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 22 and birth_weight <= 388 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 22 and 388 =557 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 23 and birth_weight <= 461 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 23 and 461 =660 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 24 and birth_weight <= 542 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 24 and 542 =776 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 25 and birth_weight <= 634 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 25 and 634 =907 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 26 and birth_weight <= 735 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 26 and 735 =1051 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 27 and birth_weight <= 846 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 27 and 846 =1210 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 28 and birth_weight <= 967 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 28 and 967 =1383 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 29 and birth_weight <= 1096 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 29 and 1096 =1570 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 30 and birth_weight <= 1234 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 30 and 1234 =1770 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 31 and birth_weight <= 1379 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 31 and 1379 =1984 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 32 and birth_weight <= 1530 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 32 and 1530 =2209 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 33 and birth_weight <= 1687 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 33 and 1687 =2445 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 34 and birth_weight <= 1847 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 34 and 1847 =2690 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 35 and birth_weight <= 2008 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 35 and 2008 =2943 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 36 and birth_weight <= 2169 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 36 and 2169 =3201 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 37 and birth_weight <= 2329 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 37 and 2329 =3462 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 38 and birth_weight <= 2484 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 38 and 2484 =3725 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 39 and birth_weight <= 2633 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 39 and 2633 =3988 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 40 and birth_weight <= 2748 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 40 and 2748 4060 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 41 and birth_weight <= 2835 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 41 and 2835 4171 then weight_who_ga=3; + + if sex eq 2 and term_mater_2021 = 42 and birth_weight <= 2834 then weight_who_ga=1; + if sex eq 2 and term_mater_2021 = 42 and 2834 4200 then weight_who_ga=3; +end;",,, +PELAGIE,pelagie_q0,V168,,,LifeCycle,core,cohab_,partial,final,"cohab_0 corresponds to the status at inclusion (1st and 2nd trimesters of pregnancy) and is corrected by the status at birth when reported in the follow-ups at 2, 6 or 12 years of age.",cohab_0=v168,"cohab_0 corresponds to the status at inclusion (1st and 2nd trimesters of pregnancy) and is corrected by the status at birth when reported in the follow-ups at 2, 6 or 12 years of age.",0,0 +PELAGIE,pelagie_q2,C618,,,LifeCycle,core,occup_m_,complete,final,,"if c618 in (6 1) then occup_m_2=1; +else if c618 eq 3 then occup_m_2=4; +else if c618 in (2 0) then occup_m_2=5; +else if c618 eq 4 then occup_m_2=3; +else if c618 eq 5 then occup_m_2=6;",,2,"1, 2, 3" +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle,outcome,ext_age_,complete,final,,ext_age_12=(DATE-ddn_2021)/365.2422;,,12,12 +PELAGIE,pelagie_q2,"C611,C612",,,LifeCycle,core,cohab_,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if c611 in (0, 1, 2) and c612 in (3, 4) then splitup_q2=1; +else if c611 eq 3 then splitup_q2=0; +if c611 in (0, 1, 2) then cohab_2=2; +else if c611 eq 3 then cohab_2=1;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.",1,"1, 2, 3" +PELAGIE,pelagie_q12,SP_Q1_2,,,LifeCycle,core,weight_f,complete,final,data collected at the 12yo follow-up,weight_f1=sp_q1_2;,data collected at the 12yo follow-up,1,1 +PELAGIE,pelagie_q0,V162,,,LifeCycle,core,cob_m,complete,final,Women born in the French Overseas Departments and Territories were considered as born in the country of the cohort,from free text,Women born in the French Overseas Departments and Territories were considered as born in the country of the cohort,, +PELAGIE,harmonized,AGGR_INSTR_14,,,ATHLETE,outcome_ath,aggr_instr_,complete,final,,instr=47;,,14,14 +PELAGIE,pelagie_q6,"QE6_A1,QE6_A4,QE6_A4_DATE_AAMM",,,LifeCycle,core,cohab_,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if qe6_a4_date_aamm ne . and qe6_a4_date_aamm ge 100 then +nb_an_splitup=int(qe6_a4_date_aamm/100); +if qe6_a4_date_aamm ne . and qe6_a4_date_aamm ge 100 then +nb_mois_splitup=qe6_a4_date_aamm-(int(qe6_a4_date_aamm/100)*100); +if qe6_a4_date_aamm ne . and qe6_a4_date_aamm lt 100 then do;nb_an_splitup=0;nb_mois_splitup=qe6_a4_date_aamm;end; +if qe6_a4 in (3 4) then splitup_q6=1; +else if nb_mois_splitup ge 0 then splitup_q6=1; + +if qe6_a1 eq 1 then do;cohab_6=1;splitup_q6=0;end; +else if qe6_a1 eq 0 then cohab_6=2;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.",5,"5, 6, 7, 8" +PELAGIE,pelagie_q6,QE6_A7,,,LifeCycle,core,occup_m_,complete,final,,"if qe6_a7 in (6 1) then occup_m_6=1; +else if qe6_a7 eq 3 then occup_m_6=4; +else if qe6_a7 in (2 0) then occup_m_6=5; +else if qe6_a7 eq 4 then occup_m_6=3; +else if qe6_a7 eq 5 then occup_m_6=6;",,6,"5, 6, 7, 8" +PELAGIE,harmonized,WEIGHT_F1,,,LifeCycle,core,weight_mes_f,complete,final,,if weight_f1 ne . then do;weight_mes_f1=1;weight_f1_fath=1;end;,,1,1 +PELAGIE,harmonized,DEATH_M_AGE,,,LifeCycle,core,death_m_age,partial,final,non-exhaustive information,from free text,non-exhaustive information,, +PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle,outcome,ext_age_,complete,final,,ext_age_1=(b3-ddn_2021)/365.2422;,,1,1 +PELAGIE,pelagie_q12,"FA_Q2_1,FA_Q2_2_M,FA_Q2_2_A",,,LifeCycle,core,cohab_,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if FA_Q2_1 in (6) and FA_Q1_a eq 1 then do;dc_pere=1;date_dc_p=mdy(FA_Q2_2_M,15,FA_Q2_2_A);end; +if FA_Q2_1 in (6) and FA_Q1_a eq 2 then do;dc_mere=1;date_dc_m=mdy(FA_Q2_2_M,15,FA_Q2_2_A);end; + +if FA_Q2_1 in (5 4) then do;ageenf_sep=(mdy(FA_Q2_2_M,15,FA_Q2_2_A)-ddn_2021)/365.25; +splitup=1;date_splitup=mdy(FA_Q2_2_M,15,FA_Q2_2_A);end; +if 0<=ageenf_sep<1 then fam_splitup0=1; +else if 1<=ageenf_sep<2 then fam_splitup1=1; +else if 2<=ageenf_sep<3 then fam_splitup2=1; +else if 3<=ageenf_sep<4 then fam_splitup3=1; +else if 4<=ageenf_sep<5 then fam_splitup4=1; +else if 5<=ageenf_sep<6 then fam_splitup5=1; +else if 6<=ageenf_sep<7 then fam_splitup6=1; +else if 7<=ageenf_sep<8 then fam_splitup7=1; +else if 8<=ageenf_sep<9 then fam_splitup8=1; +else if 9<=ageenf_sep<10 then fam_splitup9=1; +else if 10<=ageenf_sep<11 then fam_splitup10=1; +else if 11<=ageenf_sep<12 then fam_splitup11=1; +else if 12<=ageenf_sep<13 then fam_splitup12=1; + +if FA_Q2_1 in (1 2 3) then cohab_12=1; +else if FA_Q2_1 in (. 4 5 6 7) and FA_Q2_3 eq 1 then cohab_12=1; +else if FA_Q2_1 in (4 5 6) and FA_Q2_3 eq 2 then cohab_12=2; + + +if FA_Q2_3 eq 1 and FA_Q3_1 eq 1 then pbnbadult=1; +else if FA_Q2_1 eq 1 and FA_Q3_1 eq 1 then pbnbadult=1; +else if cohab_12 eq 2 and FA_Q3_1 eq 0 then pbnbadult=1;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.",12,"12, 13, 14" +PELAGIE,pelagie_q12,APP_Q2,,,LifeCycle,core,edu_m_,complete,final,,"if APP_q2 eq 1 then edu_m_12=3; +else if APP_q2 in (2) then edu_m_12=2; +else if APP_q2 in (3 4 5 6) then edu_m_12=1; +if edu_m_12 eq 2 and edu_m_0 eq 1 then edu_m_12=1; /*on garde le plus élévé*/ +if edu_m_12 eq 3 and edu_m_0 eq 2 then edu_m_12=2; /*on garde le plus élévé*/",,14,"12, 13, 14" +PELAGIE,harmonized,PREPREG_WEIGHT_MES,,,LifeCycle,core,prepreg_weight_mes,complete,final,,prepreg_weight_mes=0;,,, +PELAGIE,harmonized,OCCUP_F1_5,,,LifeCycle,core,occup_f1_fath,partial,final,Biological father by default,if occup_f1_5 ne . then occup_f1_fath5=1;,Biological father by default,5,5 +PELAGIE,pelagie_q0,"V163M,V163P",,,LifeCycle,core,ethn1_m,complete,final,,"If v163p eq 1 and v163m eq 11 then ethn1_m=1; +else If v163p eq 1 and v163m gt 11 then ethn1_m=3; +else If v163p gt 1 and v163m eq 11 then ethn1_m=3; +else If v163p ne . and v163m ne . then ethn1_m=2;",,, +PELAGIE,pelagie_q0,V50,,,LifeCycle,core,occup_m_,partial,final,"The ""6) Inactive/other"" category includes the ""Housewife status"", the ""Unemployed"", and ""the Student/apprentice"". +The ""1) Employed"" category includes also the ""self-employed"" +The ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""","if v50 eq 1 then occup_m_0=1; +else if v50 eq 0 then occup_m_0=6;","The ""6) Inactive/other"" category includes the ""Housewife status"", the ""Unemployed"", and ""the Student/apprentice"". +The ""1) Employed"" category includes also the ""self-employed"" +The ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""",0,0 +PELAGIE,pelagie_q0,PCSM1CL,,,LifeCycle,core,occupcode_m_,complete,final,,Coded,,0,0 +PELAGIE,harmonized,C_DEP_RAW_6,,,ATHLETE,chemicals_ath,c_dep_lod_,complete,final,,"BDD_OP$c_dep_lod_6<-ifelse(!is.na(BDD_OP$c_dep_raw_6y),0.2,NA)",,6,6 +PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q0,V160,LifeCycle,core,agebirth_m_y,complete,final,,agebirth_m_y=int((ddn_2021-v160)/365.2422);,,, +PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q0,V160,LifeCycle,core,agebirth_m_d,complete,final,,agebirth_m_d=ddn_2021-v160;,,, +PELAGIE,pelagie_q0,M11,,,LifeCycle,core,preeclam,complete,final,,preeclam=m11,,, +PELAGIE,pelagie_q0,M49,,,LifeCycle,core,latepreg_weight,partial,final,partially harmonized (late pregnancy weight = closest to delivery from 32 weeks gestation),latepreg_weight = m49;,partially harmonized (late pregnancy weight = closest to delivery from 32 weeks gestation),, +PELAGIE,pelagie_q0,"M49,M50",maj_ddn_2021,DDN_2021,LifeCycle,core,latepreg_weight_ga,complete,final,,"if m49 ne . and m50 ne . then nbjavtnais=ddn_2021-m50; +if m49 ne . and m50 ne . then termepoids=round(((m50-v5)/7)+2,1); +if m49 ne . and m50 ne . then termepoids2=term_mater_2021-(nbjavtnais/7); +latepreg_weight_ga=int(termepoids2*7);",,, +PELAGIE,pelagie_q12,APP_Q1_1,,,LifeCycle,core,occup_m_,partial,final,"The ""6) Inactive/other"" category also includes the ""Unemployed"". +The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" +The ""1) Employed"" category includes also the ""self-employed""","if app_q1_1 eq 1 then occup_m_12=1; +else if app_q1_1 in (0 2) then occup_m_12=5; +else if app_q1_1 eq 3 then occup_m_12=6;","The ""6) Inactive/other"" category also includes the ""Unemployed"". +The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" +The ""1) Employed"" category includes also the ""self-employed""",12,"12, 13, 14" +PELAGIE,harmonized,OCCUP_F1_2,,,LifeCycle,core,occup_f1_fath,partial,final,Biological father by default,if occup_f1_2 ne . then occup_f1_fath2=1;,Biological father by default,2,2 +PELAGIE,pelagie_q0,V49,,,LifeCycle,core,edu_m_,complete,final,,"if v49 eq 1 then edu_m_0=3; +else if v49 in (2,3) then edu_m_0=2; +else if v49 in (4,5,6) then edu_m_0=1;",,0,0 +PELAGIE,harmonized,LATEPREG_WEIGHT_MES,,,LifeCycle,core,latepreg_weight_mes,complete,final,,latepreg_weight_mes=1,,, +PELAGIE,pelagie_q0,"M49,V166",pelagie_q2,C7,LifeCycle,core,preg_gain,partial,final,late pregnancy weight = closest to delivery from 32 weeks gestation,"nbjavtnais=ddn_2021-m50; +if nbjavtnais lt 0 or nbjavtnais gt 15 then preg_gain=.; +if c7 ne . and preg_gain ne . then dif= preg_gain-c7;",late pregnancy weight = closest to delivery from 32 weeks gestation,, +PELAGIE,pelagie_q0,M49,pelagie_q2,C7,LifeCycle,core,preg_gain_mes,complete,final,,"if c7 ne . then do; preg_gain=c7;preg_gain_mes=0;end; +if c7 eq . and preg_gain ne . then preg_gain_mes=3;",,, +PELAGIE,pelagie_q0,V165,,,LifeCycle,core,height_m,complete,final,,height_m=v165;,,, +PELAGIE,harmonized,HEIGHT_MES_M,,,LifeCycle,core,height_mes_m,complete,final,,height_mes_m=0;,,, +PELAGIE,pelagie_q0,M4,,,LifeCycle,core,prepreg_dia,partial,final,partially harmonized : type of diabetes unknown,"if m4 eq 1 then prepreg_dia=5; +else if m4 eq 0 then prepreg_dia=0;",partially harmonized : type of diabetes unknown,, +PELAGIE,pelagie_q0,M9,,,LifeCycle,core,preg_dia,complete,final,,"preg_dia=m9; +if prepreg_dia=1 then preg_dia=0;",,, +PELAGIE,harmonized,ATT_EVAL_6,,,ATHLETE,outcome_ath,att_eval_,complete,final,,att_eval_6=4;,,6,6 +PELAGIE,pelagie_q0,M15,,,LifeCycle,core,preg_thyroid,partial,final,"informations from the medical registry data: +=1 if Thyroid disorders reported in free text +otherwise = missing","eq 1 if Thyroid disorders reported in free text +otherwise = missing","informations from the medical registry data: +=1 if Thyroid disorders reported in free text +otherwise = missing",, +PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle,outcome,hipcircmes_,complete,final,,hipcircmes_147=0;,,147,147 +PELAGIE,pelagie_q0,V181,,,LifeCycle,core,preg_fever,partial,final,covered the first 3 months of pregnancy maximum,preg_fever=v181,covered the first 3 months of pregnancy maximum,, +PELAGIE,pelagie_q0,M10,,,LifeCycle,core,preg_ht,partial,final,No information about if the hypertension started before or after 20 weeks of gestation,"preg_ht=m10; +if preeclam=1 then preg_ht=0;",No information about if the hypertension started before or after 20 weeks of gestation,, +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle,outcome,ext_age_,complete,final,,ext_age_6=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,6,6 +PELAGIE,pelagie_q0,M15,,,LifeCycle,core,asthma_m,partial,final,"informations from the medical registry data: +=1 if Asthma reported in free text +otherwise = missing","eq 1 if Asthma reported in free text +otherwise = missing","informations from the medical registry data: +=1 if Asthma reported in free text +otherwise = missing",, +PELAGIE,harmonized,OCCUP_F1_1,,,LifeCycle,core,occup_f1_fath,partial,final,Biological father by default,if occup_f1_1 ne . then occup_f1_fath1=1;,Biological father by default,1,1 +PELAGIE,pelagie_q0,"V135,V136",,,LifeCycle,core,prepreg_smk,complete,final,,"if v135=0 and v136=0 then do tabac=0;end; /*non fumeur*/ +if v135=0 and v136=1 then do tabac=1; end; /*ex-fumeur*/ +if v135=1 then do tabac=2;end; /*fumeur*/ +if tabac ge 1 then prepreg_smk=1; +else if tabac eq 0 then prepreg_smk=0;",,, +PELAGIE,pelagie_q0,"V136,V137",,,LifeCycle,core,prepreg_cig,complete,final,,"if v137 lt 10 and v137 ne . then cigp=1; +else if v137 ge 10 then cigp=2; +if v140 lt 10 and v140 ne . then ciga=1; +else if v140 ge 10 then ciga=2; +if prepreg_smk eq 0 then prepreg_cig=0; +else if prepreg_smk eq 1 and cigp ne . then prepreg_cig=cigp; +else if prepreg_smk eq 1 and cigp eq . then prepreg_cig=ciga;",,, +PELAGIE,pelagie_q0,"V135,V136,V139",,,LifeCycle,core,preg_smk,complete,final,information collected at the inclusion (before 19 weeks),"*quand v136 manquant et dates renseignees; + if v135=0 and v136 =. and v137 ne . and v138 ne . then v136=1; + statutc=. ; +* non fumeuse; + if v135=0 and v136=0 then statutc=0; +* ex-fumeuse; + if (v135=0 and v136=1 and v139=mmDEBGROSF) then statutc=2; +* fumeuse en debut de grossesse et ayant arrete; + if (v135=0 and v136=1 and v139>yyDEBGROSF) then statutc=2; +* fumeuse a l inclusion; + if v135=1 then statutc=3; + ; +if statutc in (2 3) then preg_smk=1; +else if statutc in (1 0) then preg_smk=0;",information collected at the inclusion (before 19 weeks),, +PELAGIE,pelagie_q0,"V135,V136,V137,V139,V140",,,LifeCycle,core,preg_cig,complete,final,information collected at the inclusion (before 19 weeks),"if statutc=2 then nombre_cigc=V137; * fumeuse en debut de grossesse et ayant arrete ; +if statutc=3 then nombre_cigc=V140; * fumeuse a l inclusion; +if nombre_cigc lt 10 and nombre_cigc ne . then cigc=1; +else if nombre_cigc ge 10 then cigc=2;",information collected at the inclusion (before 19 weeks),, +PELAGIE,harmonized,PREG_SMK,,,LifeCycle,core,smk_t,complete,final,,smk_t1=preg_smk;,,1,1 +PELAGIE,BDD_ethers,EEAA_ENFANT,,,ATHLETE,chemicals_ath,c_eeaa_raw_,complete,final,,BDD_ethers$c_eeaa_raw_6<-BDD_ethers$EEAA_enfant,,6,6 +PELAGIE,BDD_phtalates_phenols,"BP_S,SGURINEF",,,ATHLETE,chemicals_ath,m_bps_raw_t,complete,final,,BDD_phtalates_phenols$m_bps_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$BP_S,,2,2 +PELAGIE,pelagie_q0,"V130,V131,V132",,,LifeCycle,core,preg_alc,partial,final,information collected at the inclusion (before 19 weeks) - no data on alcohol consumption after that date,"alc=V130; +alc2=V131*10; +alc3=v132*100; +alcool2=alc+alc2+alc3; + +if alcool2=0 then alcool1=0; +else if (alcool2=1 or alcool2=10 or alcool2=100) then alcool1=1; +else if (alcool2=11 or alcool2=101 or alcool2=110 or alcool2=111) then alcool1=2; +else if (alcool2=2 or alcool2=12 or alcool2=20 or alcool2=21 or alcool2=102 or alcool2=112 or alcool2=120 or alcool2=121 or alcool2=201 or alcool2=200 or alcool2=210 or alcool2=211) then alcool1=3; +else if (alcool2=3 or alcool2=13 or alcool2=22 or alcool2=103 or alcool2=202 or alcool2=222 or alcool2=122 or alcool2=212) then alcool1=4; +else if (alcool2=233 or alcool2=344 or alcool2=404) then alcool1=5; + +if alcool1=. then buveuseclaire=.; +if alcool1=0 then buveuseclaire=0; * non buveuse; +if alcool1=1 or alcool1=2 then buveuseclaire=1; * occasionnellement / <1fois/jour; +if alcool1>2 then buveuseclaire=2; * >1fois/jour; + +/*recodage buveuse en oui/non*/ +if buveuseclaire =0 then do preg_alc = 0; end; +if buveuseclaire in ('1', '2') then do preg_alc=1; end;",information collected at the inclusion (before 19 weeks) - no data on alcohol consumption after that date,, +PELAGIE,harmonized,OCCUP_F1_3,,,LifeCycle,core,occup_f1_fath,partial,final,Biological father by default,if occup_f1_3 ne . then occup_f1_fath3=1;,Biological father by default,3,3 +PELAGIE,pelagie_q0,"V130,V131,V132",,,LifeCycle,core,preg_alc_unit,partial,final,information collected at the inclusion (before 19 weeks) - no data on alcohol consumption after that date,"if v130=0 then v130b=0;if v130=1 then v130b=3;if v130=2 then v130b=7; if v130=3 then v130b=16; if v130=4 then v130b=30; +if v131=0 then v131b=0;if v131=1 then v131b=3;if v131=2 then v131b=7; if v131=3 then v131b=16; if v131=4 then v131b=30; +if v132=0 then v132b=0;if v132=1 then v132b=3;if v132=2 then v132b=7; if v132=3 then v132b=16; if v132=4 then v132b=30; +alcoolcc=v130b*10+v131b*12.5+v132b*24; + if alcoolcc =0 then alcoolccb=0; *non buveuse; + if alcoolcc>0 and alcoolcc<70 then alcoolccb=1; * occasionnellement, <1fois/j; + if alcoolcc>=70 and buveuseclaire=1 then alcoolccb=2; * < 1fois/j et degré alcool>=70g/semaine; + if alcoolcc>=70 and buveuseclaire=2 then alcoolccb=3; * > 1fois/j (et degré alcool>=70g/semaine); + if alcoolcc = . then alcoolccb = .; + +if preg_alc eq 0 then preg_alc_unit =0; +else if preg_alc eq 1 then preg_alc_unit =alcoolccb;",information collected at the inclusion (before 19 weeks) - no data on alcohol consumption after that date,, +PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,ATHLETE,outcome_ath,att_age_,complete,final,,ATT_age=(date_RDV-ddn_2021)/365.2422;,,5,"5, 6" +PELAGIE,harmonized,AGGR_EVAL_2,,,ATHLETE,outcome_ath,aggr_eval_,complete,final,,eval=2;,,2,2 +PELAGIE,pelagie_q0,"V130,V131,V132",,,LifeCycle,core,alc_t,partial,final,information collected at the inclusion (before 19 weeks) - no data on alcohol consumption after that date,"alc=V130; +alc2=V131*10; +alc3=v132*100; +alcool2=alc+alc2+alc3; + +if alcool2=0 then alcool1=0; +else if (alcool2=1 or alcool2=10 or alcool2=100) then alcool1=1; +else if (alcool2=11 or alcool2=101 or alcool2=110 or alcool2=111) then alcool1=2; +else if (alcool2=2 or alcool2=12 or alcool2=20 or alcool2=21 or alcool2=102 or alcool2=112 or alcool2=120 or alcool2=121 or alcool2=201 or alcool2=200 or alcool2=210 or alcool2=211) then alcool1=3; +else if (alcool2=3 or alcool2=13 or alcool2=22 or alcool2=103 or alcool2=202 or alcool2=222 or alcool2=122 or alcool2=212) then alcool1=4; +else if (alcool2=233 or alcool2=344 or alcool2=404) then alcool1=5; + +if alcool1=. then buveuseclaire=.; +if alcool1=0 then buveuseclaire=0; * non buveuse; +if alcool1=1 or alcool1=2 then buveuseclaire=1; * occasionnellement / <1fois/jour; +if alcool1>2 then buveuseclaire=2; * >1fois/jour; + +/*recodage buveuse en oui/non*/ +if buveuseclaire =0 then do alc_t1 = 0; end; +if buveuseclaire in ('1', '2') then do alc_t1=1; end;",information collected at the inclusion (before 19 weeks) - no data on alcohol consumption after that date,1,1 +PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle,outcome,hipcircmes_,complete,final,,hipcircmes_148=0;,,148,148 +PELAGIE,pelagie_q0,"V156,V157,V158,DEBGROSF",,,LifeCycle,core,folic_prepreg,complete,final,,"b9 created using free text in v156; +yyDEBGROSF= year(DEBGROSF); +mmDEBGROSF= month(DEBGROSF); +* Nombre de mois d ecart entre début de grossesse et début prise B9 +si négatif, alors début pendant grossesse; +if (b9=1 and V158=yyDEBGROSF) then dif_mois_debgros_b9 = (mmDEBGROSF - V157)*-1; +else if b9=1 and v158 gt yyDEBGROSF then dif_mois_debgros_b9 = (12-mmDEBGROSF + V157); +else if (b9=1 and V158 ne . and v158 lt yyDEBGROSF) then dif_mois_debgros_b9 = -(12-v157+mmDEBGROSF); + * 1 femme avec prise de vitB9 en 2000 pour un début de grossesse en 2003, codée manquante (v13=5mois); + +if b9 eq 1 and dif_mois_debgros_b9 ne . and dif_mois_debgros_b9 lt 0 then folic_prepreg=1; +else if b9 eq 1 and dif_mois_debgros_b9 ge 0 then folic_prepreg=0; +else if b9 eq 1 and dif_mois_debgros_b9 eq . and v159 eq 99 then folic_prepreg=1; +else if b9 eq 0 then folic_prepreg=0;",,, +PELAGIE,pelagie_q0,"V156,V157,V158,V159,DEBGROSF",,,LifeCycle,core,folic_preg,complete,final,,"b9 created using free text in v156; + yyDEBGROSF= year(DEBGROSF); + mmDEBGROSF= month(DEBGROSF); + * Nombre de mois d ecart entre début de grossesse et début prise B9 + si négatif, alors début pendant grossesse; +if (b9=1 and V158=yyDEBGROSF) then dif_mois_debgros_b9 = (mmDEBGROSF - V157)*-1; +else if b9=1 and v158 gt yyDEBGROSF then dif_mois_debgros_b9 = (12-mmDEBGROSF + V157); +else if (b9=1 and V158 ne . and v158 lt yyDEBGROSF) then dif_mois_debgros_b9 = -(12-v157+mmDEBGROSF); + +if b9 eq 1 and dif_mois_debgros_b9 ne . and dif_mois_debgros_b9 eq -3 and v159 gt 75 then folic_preg12=1; +else if b9 eq 1 and dif_mois_debgros_b9 eq -3 and (v159 le 75 and v159 ne .) then folic_preg12=0; +else if b9 eq 1 and dif_mois_debgros_b9 eq -2 and v159 gt 45 then folic_preg12=1; +else if b9 eq 1 and dif_mois_debgros_b9 eq -2 and (v159 le 45 and v159 ne .) then folic_preg12=0; +else if b9 eq 1 and dif_mois_debgros_b9 eq -1 and v159 gt 15 then folic_preg12=1; +else if b9 eq 1 and dif_mois_debgros_b9 eq -1 and (v159 le 15 and v159 ne .) then folic_preg12=0; +else if b9 eq 1 and dif_mois_debgros_b9 in (0,1,2,3) then folic_preg12=1; +else if b9 eq 1 and v159 eq 99 then folic_preg12=1; +else if b9 eq 0 then folic_preg12=0; +else if b9 eq 1 and dif_mois_debgros_b9 ne . and v159 eq . then folic_preg12=.;",,12,12 +PELAGIE,pelagie_q0,PCSPCL,,,LifeCycle,core,occupcode_f1_,complete,final,,Free text coded,,0,0 +PELAGIE,pelagie_q0,"V16,V22,V27,V32,V37,V42,V47,V203,V208",,,LifeCycle,core,parity_m,complete,final,,"n=.; +if v16=1 then n=0; +if v16=0 then n=0; +if v22=1 then n=1; +if v22=5 and v19 ge 22 then n=1; +if v27=1 then n=n+1; +if v27=5 and v24 ge 22 then n=n+1; +if v32=1 then n=n+1; +if v32=5 and v29 ge 22 then n=n+1; +if v37=1 then n=n+1; +if v42=1 then n=n+1; +if v47=1 then n=n+1; +if v203=1 then n=n+1; +if v208=1 then n=n+1; +label n='parité'; + +parity_m=n; +if n ge 4 then parity_m=4;",,, +PELAGIE,pelagie_q6,QE6_D6_9,,,LifeCycle,core,fruit_sch,complete,final,,"/* fruits */ +if QE6_d6_9=. then fruit=.; +else if QE6_d6_9=1 then fruit=0.5; +else if QE6_d6_9=2 then fruit=2; +else if QE6_d6_9=3 then fruit=8; +else if QE6_d6_9=4 then fruit=20; +else if QE6_d6_9=5 then fruit=30; + +fruit_sch=fruit/30;",,, +PELAGIE,pelagie_q0,"V9,V10,V13,V14",,,LifeCycle,core,preg_plan,complete,final,,"if v9=0 then contraception=0; +else if v9=. then contraception=.; +else if v9 ne 0 and v9 ne . then contraception=1; + +if contraception=1 & v10=1 then planif_graf=1; /* grossesse planifiée */ +else if contraception=1 & v10=0 then planif_graf=0; /* grossesse non planifiée */ +else if contraception=1 & v10=. then planif_graf=2; /* doute sur la planification de la grossesse */ +else if contraception=0 & v10=1 then planif_graf=1; /* grossesse planifiée */ +else if contraception=0 & v10=0 then planif_graf=2; /* doute sur la planification de la grossesse */ +else if contraception=0 & v10=. then planif_graf=2; /* doute sur la planification de la grossesse */ +else if contraception=. & v10=0 then planif_graf=2; /* doute sur la planification de la grossesse */ +else if contraception=. & v10=1 then planif_graf=1; /* grossesse planifiée */ +else if contraception=. & v10=. then planif_graf=2; /* doute sur la planification de la grossesse */ + +/* creation de la variable planification */ +if planif_graf=2 & v13 ne . then planification=1; /* si on a un doute sur la planification de la grossesse mais que v13 (délai pour concevoir) est renseignée, on considère la grossesse comme planifiée */ +else planification=planif_graf; + +if planification eq 0 then preg_plan=2; +else if planification eq 1 then preg_plan=1; +else if planification eq 2 and v14 in (0 .) then preg_plan=.; +else if planification eq 2 and v14 eq 1 then preg_plan=1; + +if mar eq 1 and preg_plan eq 2 then mar=.; +if ivf eq 1 and preg_plan eq 2 then ivf=.;",,, +PELAGIE,pelagie_q0,V14,,,LifeCycle,core,mar,complete,final,,mar=v14;,,, +PELAGIE,pelagie_q0,"V14,V15",,,LifeCycle,core,ivf,complete,final,,"if mar eq 1 and v15 eq 3 then ivf=1; +else if mar eq 1 and v15 ne 3 then ivf=0; +else if mar eq 0 then ivf=0;",,, +PELAGIE,pelagie_q0,"M16,M17,M18,M19,M22",,,LifeCycle,core,outcome,complete,final,,"if m16 eq 1 then outcome=3; +else if m17 eq 1 and m18 eq 1 then outcome=2; +else if m17 ne 1 and m18 eq 1 then outcome=2; +else if m17 eq 1 and m18 ne 1 then outcome=4; +else if m22 eq 1 and m19 eq 1 then outcome=1; +else if m22 eq 2 and m19 eq 1 and m18 ne 1 then outcome=1;",,, +PELAGIE,pelagie_q0,"M23,M24,M48",,,LifeCycle,core,mode_delivery,partial,final,"Mode of delivery was recorded as Vaginal (no.1) or Caesarean (no.5). When available, free text allowed to classify as Forceps/vacuum or Emergency caesarean (non-exhaustive information)",From m23 and m48 + free text in m24,"Mode of delivery was recorded as Vaginal (no.1) or Caesarean (no.5). When available, free text allowed to classify as Forceps/vacuum or Emergency caesarean (non-exhaustive information)",, +PELAGIE,pelagie_q0,V169,,,LifeCycle,core,occup_f1_,partial,final,"Paternal occupational status level has been asked at the inclusion (1st and 2nd trimester of pregnancy). + +For occup_f1_0: The ""6) Inactive/other"" category includes the ""Housewife status"", the ""Unemployed"", and ""the Student/apprentice"". The ""1) Employed"" category includes also the ""self-employed""","occup_f1_0=v169; +if occup_f1_0 eq 0 then occup_f1_0=6;/*sans emploi*/","Paternal occupational status level has been asked at the inclusion (1st and 2nd trimester of pregnancy). + +For occup_f1_0: The ""6) Inactive/other"" category includes the ""Housewife status"", the ""Unemployed"", and ""the Student/apprentice"". The ""1) Employed"" category includes also the ""self-employed""",0,0 +PELAGIE,harmonized,OCCUP_F1_0,,,LifeCycle,core,occup_f1_fath,partial,final,Biological father by default,if occup_f1_0 ne . then occup_f1_fath0=1;,Biological father by default,0,0 +PELAGIE,harmonized,INT_INSTR_13,,,LifeCycle,outcome,int_instr_,complete,final,,instr=47;,,13,13 +PELAGIE,pelagie_q2,"B581,B582",,,LifeCycle,core,ffish_psc,complete,final,,"/* poisson gras*/ +if B581=. then poisson_gras=.; +else if B581=1 then poisson_gras=0; +else if B581=2 then poisson_gras=0.5; +else if B581=3 then poisson_gras=2; +else if B581=4 then poisson_gras=8; +else if B581=5 then poisson_gras=20; +else if B581=6 then poisson_gras=30; +else if B581=7 then poisson_gras=60; + +ffish_psc=poisson_gras/30;",,, +PELAGIE,pelagie_q2,"A44,C593",,,LifeCycle,core,smk_exp,partial,final,smoking status of the mother and the father but not information about exposure of the child or not,"/* _1 to _3 depending on child age at the 2yo-follow-up */ +if a44=1 or C593=1 then smk_exp2=1; +else if a44=0 and C593=0 then smk_exp2=0;",smoking status of the mother and the father but not information about exposure of the child or not,3,"1, 2, 3" +PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle,outcome,ext_age_,complete,final,,ext_age_2=(b3-ddn_2021)/365.2422;,,2,2 +PELAGIE,pelagie_q6,QE6_A6,,,LifeCycle,core,occup_f1_,partial,final,"occup_f_6, _7, or _8 was filled in according to the exact age of the child when the parents answered to the 6yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""","if qe6_a6 in (6 1) then occup_f1_6=1; +else if qe6_a6 eq 3 then occup_f1_6=4; +else if qe6_a6 in (2 0) then occup_f1_6=5; +else if qe6_a6 eq 4 then occup_f1_6=3; +else if qe6_a6 eq 5 then occup_f1_6=6; + +if ageq6 eq 5 then do; +occup_f1_5=occup_f1_6;occup_f1_6=.; +end; +if ageq6 eq 7 then do; +occup_f1_7=occup_f1_6;occup_f1_6=.; +end; +if ageq6 eq 8 then do; +occup_f1_8=occup_f1_6;occup_f1_6=.; +end;","occup_f_6, _7, or _8 was filled in according to the exact age of the child when the parents answered to the 6yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""",6,"6, 7, 8" +PELAGIE,harmonized,C_EEAA_RAW_6,,,ATHLETE,chemicals_ath,c_eeaa_lod_,complete,final,,"BDD_ethers$c_eeaa_lod_6<-ifelse(!is.na(BDD_ethers$c_eeaa_raw_6y),3,NA)",,6,6 +PELAGIE,pelagie_q6,QS6_C16,,,ATHLETE,outcome_ath,rhinitis_sx_ever_,complete,final,,"if (5 le age_enfant_quest lt 6) then do; +rhinitis_sx_ever_5=QS6_C16; +end;",,5,5 +PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle,core,childcare_,complete,final,variable generated for children followed at 6 years of age only,"if childcarerel_0 eq 1 or childcareprof_0 eq 1 or childcarecentre_0 eq 1 then childcare_0=1; +else if childcarerel_0 eq 0 and childcareprof_0 eq 0 and childcarecentre_0 eq 0 then childcare_0=0; +else if childcareparent_0 eq 1 and childcarerel_0 eq . and childcareprof_0 eq . and childcarecentre_0 eq . then do; +childcare_0=0;childcarerel_0=0;childcareprof_0=0;childcarecentre_0=0;end; + +if childcarerel_1 eq 1 or childcareprof_1 eq 1 or childcarecentre_1 eq 1 then childcare_1=1; +else if childcarerel_1 eq 0 and childcareprof_1 eq 0 and childcarecentre_1 eq 0 then childcare_1=0; +else if childcareparent_1 eq 1 and childcarerel_1 eq . and childcareprof_1 eq . and childcarecentre_1 eq . then do; +childcare_1=0;childcarerel_1=0;childcareprof_1=0;childcarecentre_1=0;end; + +if childcarerel_2 eq 1 or childcareprof_2 eq 1 or childcarecentre_2 eq 1 then childcare_2=1; +else if childcarerel_2 eq 0 and childcareprof_2 eq 0 and childcarecentre_2 eq 0 then childcare_2=0; +else if childcareparent_2 eq 1 and childcarerel_2 eq . and childcareprof_2 eq . and childcarecentre_2 eq . then do; +childcare_2=0;childcarerel_2=0;childcareprof_2=0;childcarecentre_2=0;end; + +if childcarerel_3 eq 1 or childcareprof_3 eq 1 or childcarecentre_3 eq 1 then childcare_3=1; +else if childcarerel_3 eq 0 and childcareprof_3 eq 0 and childcarecentre_3 eq 0 then childcare_3=0; +else if childcareparent_3 eq 1 and childcarerel_3 eq . and childcareprof_3 eq . and childcarecentre_3 eq . then do; +childcare_3=0;childcarerel_3=0;childcareprof_3=0;childcarecentre_3=0;end;",variable generated for children followed at 6 years of age only,0,"0, 1, 2, 3" +PELAGIE,pelagie_q2,"B461,B462,B463","pelagie_q6,pelagie_q6","QE6_D4,QE6_D4HHMM",LifeCycle,core,breastfed_ever,partial,final,"Reported from the follow-ups at 2yo and, if missing, completed by the follow-up at 6 yo","if breastfed_any eq 0 then breastfed_ever=0; +else if breastfed_any gt 0 then breastfed_ever=1; +if breastfed_ever eq . and b461 eq 1 then breastfed_ever=1;","Reported from the follow-ups at 2yo and, if missing, completed by the follow-up at 6 yo",, +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_oxbe_lod_t,complete,final,,BDD_phtalates_phenols$m_oxbe_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.04,,1,1 +PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle,outcome,hipcircmes_,complete,final,,hipcircmes_149=0;,,149,149 +PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle,outcome,asthma_,complete,final,,"asthma_9bis=asthma_9; +if asthma_9bis=1 or (SRA_Q7_1=1 and SRA_Q7_2_A>=9 and SRA_Q7_2_A<10) then asthma_9=1; +else if asthma_9bis=0 or (SRA_Q7_1=0 and age_q12>=9) then asthma_9=0; +else asthma_9=.; +drop asthma_9bis;",,9,9 +PELAGIE,pelagie_q12,APP_Q3_1,,,LifeCycle,core,occup_f1_,partial,final,"occup_f_12, _13, or _14 was filled in according to the exact age of the child when the parents answered to the 12yo questionnaire. +The ""6) Inactive/other"" category also includes the ""Unemployed"". +The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" +The ""1) Employed"" category includes also the ""self-employed""","if app_q3_1 eq 1 then occup_f1_12=1; +else if app_q3_1 in (0 2) then occup_f1_12=5; +else if app_q3_1 eq 3 then occup_f1_12=6; + +if ageq12 eq 13 then do; +occup_f1_13=occup_f1_12;occup_f1_12=.; +end; + +if ageq12 eq 14 then do; +occup_f1_14=occup_f1_12;occup_f1_12=.; +end;","occup_f_12, _13, or _14 was filled in according to the exact age of the child when the parents answered to the 12yo questionnaire. +The ""6) Inactive/other"" category also includes the ""Unemployed"". +The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" +The ""1) Employed"" category includes also the ""self-employed""",12,"12, 13, 14" +PELAGIE,harmonized,ATT_INSTR_5,,,ATHLETE,outcome_ath,att_instr_,partial,final,,att_instr_5=62;,"Test=R-CPT90. 3 target items were excluded (1, 2 , 12) because of technical errors, resulting in 177 targets and 20 non-targets items",5,5 +PELAGIE,pelagie_q6,"QE6_G1,QE6_G2",,,LifeCycle,core,smk_exp,partial,final,smoking status of the mother and th efather but not information about exposure of the child or not,"/* _4 to _7 depending on child age at the 6yo-follow-up */ +if QE6_G1=1 or QE6_G2=1 then smk_exp6=1; +else if QE6_G1=0 and QE6_G2=0 then smk_exp6=0;",smoking status of the mother and th efather but not information about exposure of the child or not,7,"5, 6, 7, 8" +PELAGIE,harmonized,WM_EVAL_5,,,LifeCycle,outcome,wm_eval_,complete,final,,wm_eval_5=3;,,5,5 +PELAGIE,harmonized,OCCUPCODE_F1_0,,,LifeCycle,core,occupcode_f1_fath,partial,final,Biological father by default,if occupcode_f1_0 ne . then occupcode_f1_fath0=1;,Biological father by default,0,0 +PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle,core,childcareprof_,complete,final,variable generated for children followed at 6 years of age only,"if 0<=assistantedeb<12 and assistantefin>0 then childcareprof_0=1; +if 0<=assistantedeb<24 and assistantefin >=12 then childcareprof_1=1; +if 0<=assistantedeb<36 and assistantefin >=24 then childcareprof_2=1; +if 0<=assistantedeb<48 and assistantefin >=36 then childcareprof_3=1; + +if childcare_intro ne . and childcareprof_0 eq . then childcareprof_0=0; +if childcare_intro ne . and childcareprof_1 eq . then childcareprof_1=0; +if childcare_intro ne . and childcareprof_2 eq . then childcareprof_2=0; +if childcare_intro ne . and childcareprof_3 eq . then childcareprof_3=0;",variable generated for children followed at 6 years of age only,0,"0, 1, 2, 3" +PELAGIE,pelagie_q2,"B461,B462,B463","pelagie_q6,pelagie_q6","QE6_D4,QE6_D4HHMM",LifeCycle,core,breastfed_any,partial,final,"Reported from the follow-ups at 2yo and, if missing, completed by the follow-up at 6 yo","/*durée d'allaitement à 2 ans*/ + +semaine=b464/4.3333; +if (b463 ne .) and (semaine ne .) and (b461 = 1) then duree_allaitement_2ans = b463+semaine; +if (b463 ne .) and (semaine = .) and (b461 = 1) then duree_allaitement_2ans = b463; +if (b463 = .) and (semaine = .) and (b461 = 1) then duree_allaitement_2ans = .; +if (b463 = .) and (semaine ne .) and (b461 = 1) then duree_allaitement_2ans = semaine; +if (b462 = 1) then duree_allaitement_2ans = 24; /*continue d allaitement à 2ans*/ +if b461 = 0 then duree_allaitement_2ans = 0; + +/*durée d'allaitement à 6 ans*/ + +if QE6_D4=1 then do; longueur=length(QE6_D4HHMM); + +if longueur=4 then do +mois=substr(QE6_D4HHMM,1,2); +semaines=substr(QE6_D4HHMM,3,2); +end; + +if longueur=3 then do +mois=substr(QE6_D4HHMM,1,1); +semaines=substr(QE6_D4HHMM,2,2); +end; + +if longueur=1 then do +mois='0'; +semaines=QE6_D4HHMM; +end; + +m=input(mois,2.); +s=input(semaines,2.); + +duree_allaitement_6ans=m+ s/4.33; + +end; + +else if QE6_D4=0 then duree_allaitement_6ans=0; +else if QE6_D4=. then duree_allaitement_6ans=.; + +/*2 individus ont déclaré avoir allaité sans donner le temps d'allaitement*/ +if (QE6_D4=1 and QE6_D4HHMM='') then duree_allaitement_6ans=.; + + +/*On privilégie la durée d'allaitement à 2ans, si celle ci n'est pas renseignée on prend celle à 6 ans*/ + +if (duree_allaitement_2ans ne .) then duree_allaitement=duree_allaitement_2ans; +else duree_allaitement=duree_allaitement_6ans; + +breastfed_any=round(duree_allaitement,0.1); +if breastfed_any ge 12 then breastfed_any=12; +if breastfed_any eq 0 then breastfed_ever=0; +else if breastfed_any gt 0 then breastfed_ever=1; +if breastfed_ever eq . and b461 eq 1 then breastfed_ever=1;","Reported from the follow-ups at 2yo and, if missing, completed by the follow-up at 6 yo",, +PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle,core,weight_,complete,final,,/* too long to be provided and many case by case situations */,,161,"133, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169" +PELAGIE,pelagie_q2,"B571,B574,B589,B590,B591",,,LifeCycle,core,grain_psc,complete,final,,"/* pates, riz, semoule, blé */ +if B571=. then pates=.; +else if B571=1 then pates=0; +else if B571=2 then pates=0.5; +else if B571=3 then pates=2; +else if B571=4 then pates=8; +else if B571=5 then pates=20; +else if B571=6 then pates=30; +else if B571=7 then pates=60; + + /* quiches, pizzas, tourtes */ +if B574=. then quiche=.; +else if B574=1 then quiche=0; +else if B574=2 then quiche=0.5; +else if B574=3 then quiche=2; +else if B574=4 then quiche=8; +else if B574=5 then quiche=20; +else if B574=6 then quiche=30; +else if B574=7 then quiche=60; + /* cereales pour petit dej */ +if B589=. then cereales=.; +else if B589=1 then cereales=0; +else if B589=2 then cereales=0.5; +else if B589=3 then cereales=2; +else if B589=4 then cereales=8; +else if B589=5 then cereales=20; +else if B589=6 then cereales=30; +else if B589=7 then cereales=60; + /* pain */ +if B590=. then pain=.; +else if B590=1 then pain=0; +else if B590=2 then pain=0.5; +else if B590=3 then pain=2; +else if B590=4 then pain=8; +else if B590=5 then pain=20; +else if B590=6 then pain=30; +else if B590=7 then pain=60; + /* viennoiserie, gateaux, biscuits */ +if B591=. then gateaux=.; +else if B591=1 then gateaux=0; +else if B591=2 then gateaux=0.5; +else if B591=3 then gateaux=2; +else if B591=4 then gateaux=8; +else if B591=5 then gateaux=20; +else if B591=6 then gateaux=30; +else if B591=7 then gateaux=60; + +grain_psc=sum(pates,quiche,cereales,pain,gateaux)/30;",,, +PELAGIE,pelagie_q2,"B488,B490,B492,B502,B510",,,LifeCycle,core,solid_food,partial,final,"Reported from the follow-up at 2 years of age, using the age of introduction of the following food items: potatoes, vegetables, fruit and yoghurt.","pdt=b488; if pdt ge 6 then pdt=6; +leg=b490;if leg ge 6 then leg=6; +fruit=b492;if fruit ge 6 then fruit=6; +oeuf=b502;if oeuf ge 6 then oeuf=6; +laitage=b510;if laitage ge 6 then laitage=6; +solid_food=min(pdt,leg,fruit,laitage); +if solid_food in (0,1) then solid_food=6;","Reported from the follow-up at 2 years of age, using the age of introduction of the following food items: potatoes, vegetables, fruit and yoghurt.",, +PELAGIE,pelagie_q2,C675,,,LifeCycle,core,famsize_adult,complete,final,,"/* _1 to _3 depending on child age at the 2yo-follow-up */ +if c675 ne . then famsize_adult2=c675;",,1,"1, 2, 3" +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_bps_lod_t,complete,final,,BDD_phtalates_phenols$m_bps_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.10,,1,1 +PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle,core,childcare_intro,complete,final,variable generated for children followed at 6 years of age only,"crechedeb= QE6_B5_Creche_de_AMM; +if QE6_B5_Creche_de_AMM ge 100 +then crechedeb= (int(QE6_B5_Creche_de_AMM/100)*12)+ QE6_B5_Creche_de_AMM-(int(QE6_B5_Creche_de_AMM/100)*100); + +crechefin= QE6_B5_Creche_a_AMM; +if QE6_B5_Creche_a_AMM ge 100 +then crechefin= (int(QE6_B5_Creche_a_AMM/100)*12)+ QE6_B5_Creche_a_AMM-(int(QE6_B5_Creche_a_AMM/100)*100); + +assistantedeb= QE6_B5_assistante_de_AMM; +if QE6_B5_assistante_de_AMM ge 100 +then assistantedeb= (int(QE6_B5_assistante_de_AMM/100)*12)+ QE6_B5_assistante_de_AMM-(int(QE6_B5_assistante_de_AMM/100)*100); + +assistantefin= QE6_B5_assistante_a_AMM; +if QE6_B5_assistante_a_AMM ge 100 +then assistantefin= (int(QE6_B5_assistante_a_AMM/100)*12)+ QE6_B5_assistante_a_AMM-(int(QE6_B5_assistante_a_AMM/100)*100); + +familledeb= QE6_B5_famille_de_AMM; +if QE6_B5_famille_de_AMM ge 100 +then familledeb= (int(QE6_B5_famille_de_AMM/100)*12)+ QE6_B5_famille_de_AMM-(int(QE6_B5_famille_de_AMM/100)*100); + +famillefin= QE6_B5_famille_a_AMM; +if QE6_B5_famille_a_AMM ge 100 +then famillefin= (int(QE6_B5_famille_a_AMM/100)*12)+ QE6_B5_famille_a_AMM-(int(QE6_B5_famille_a_AMM/100)*100); + +employeedeb= QE6_B5_employee_de_AMM; +if QE6_B5_employee_de_AMM ge 100 +then employeedeb= (int(QE6_B5_employee_de_AMM/100)*12)+ QE6_B5_employee_de_AMM-(int(QE6_B5_employee_de_AMM/100)*100); + +employeefin= QE6_B5_employee_a_AMM; +if QE6_B5_employee_a_AMM ge 100 +then employeefin= (int(QE6_B5_employee_a_AMM/100)*12)+ QE6_B5_employee_a_AMM-(int(QE6_B5_employee_a_AMM/100)*100); + + +vous_memedeb= QE6_B5_vous_meme_de_AMM; +if QE6_B5_vous_meme_de_AMM ge 100 +then vous_memedeb= (int(QE6_B5_vous_meme_de_AMM/100)*12)+ QE6_B5_vous_meme_de_AMM-(int(QE6_B5_vous_meme_de_AMM/100)*100); + +vous_memefin= QE6_B5_vous_meme_a_AMM; +if QE6_B5_vous_meme_a_AMM ge 100 +then vous_memefin= (int(QE6_B5_vous_meme_a_AMM/100)*12)+ QE6_B5_vous_meme_a_AMM-(int(QE6_B5_vous_meme_a_AMM/100)*100); + +childcare_intro= min( Crechedeb,Assistantedeb,Familledeb,Employeedeb);",variable generated for children followed at 6 years of age only,, +PELAGIE,pelagie_q2,B592,,,LifeCycle,core,sugar_psc,complete,final,,"/* bonbons, chocolat */ +if B592=. then bonbons=.; +else if B592=1 then bonbons=0; +else if B592=2 then bonbons=0.5; +else if B592=3 then bonbons=2; +else if B592=4 then bonbons=8; +else if B592=5 then bonbons=20; +else if B592=6 then bonbons=30; +else if B592=7 then bonbons=60; +sugar_psc=bonbons/30;",,, +PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle,core,childcarerel_,complete,final,variable generated for children followed at 6 years of age only,"if 0<=Familledeb<12 and famillefin>0 then childcarerel_0=1; +else if 0<=Employeedeb<12 and employeefin>0 then childcarerel_0=1; + +if 0<=Familledeb<24 and Famillefin >=12 then childcarerel_1=1; +else if 0<=Employeedeb<24 and employeefin >= 12 then childcarerel_1=1; + +if 0<=Familledeb<36 and famillefin >=24 then childcarerel_2=1; +else if 0<=Employeedeb<36 and employeefin>= 24 then childcarerel_2=1; + +if 0<=Familledeb<48 and famillefin >=36 then childcarerel_3=1; +else if 0<=Employeedeb<48 and employeefin>=36 then childcarerel_3=1; + +if childcare_intro ne . and childcarerel_0 eq . then childcarerel_0=0; +if childcare_intro ne . and childcarerel_1 eq . then childcarerel_1=0; +if childcare_intro ne . and childcarerel_2 eq . then childcarerel_2=0; +if childcare_intro ne . and childcarerel_3 eq . then childcarerel_3=0;",variable generated for children followed at 6 years of age only,0,"0, 1, 2, 3" +PELAGIE,harmonized,INT_EVAL_1,,,LifeCycle,outcome,int_eval_,complete,final,,eval=2;,,1,1 +PELAGIE,harmonized,WM_EVAL_6,,,LifeCycle,outcome,wm_eval_,complete,final,,wm_eval_6=3;,,6,6 +PELAGIE,harmonized,INT_INSTR_14,,,LifeCycle,outcome,int_instr_,complete,final,,instr=47;,,14,14 +PELAGIE,harmonized,AGGR_PRO_12,,,ATHLETE,outcome_ath,aggr_pc_,complete,final,,"SDQ12$aggr_pc_12<-xtile(SDQ12$aggr_pro_12, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,12,12 +PELAGIE,pelagie_q6,"QE6_D6_3,QE6_D6_11,QE6_D6_12,QE6_D6_13,QE6_D6_14",,,LifeCycle,core,grain_sch,complete,final,,"/* pates, riz, semoule */ +if QE6_d6_3=. then pate_riz=.; +else if QE6_d6_3=1 then pate_riz=0.5; +else if QE6_d6_3=2 then pate_riz=2; +else if QE6_d6_3=3 then pate_riz=8; +else if QE6_d6_3=4 then pate_riz=20; +else if QE6_d6_3=5 then pate_riz=30; +/* cereales petit dejeuner */ +if QE6_d6_11=. then cereale_dej=.; +else if QE6_d6_11=1 then cereale_dej=0.5; +else if QE6_d6_11=2 then cereale_dej=2; +else if QE6_d6_11=3 then cereale_dej=8; +else if QE6_d6_11=4 then cereale_dej=20; +else if QE6_d6_11=5 then cereale_dej=30; +/* pain complet */ +if QE6_d6_12=. then pain_complet=.; +else if QE6_d6_12=1 then pain_complet=0.5; +else if QE6_d6_12=2 then pain_complet=2; +else if QE6_d6_12=3 then pain_complet=8; +else if QE6_d6_12=4 then pain_complet=20; +else if QE6_d6_12=5 then pain_complet=30; +/* autres pains et cereales */ +if QE6_d6_13=. then pain_cereale_autre=.; +else if QE6_d6_13=1 then pain_cereale_autre=0.5; +else if QE6_d6_13=2 then pain_cereale_autre=2; +else if QE6_d6_13=3 then pain_cereale_autre=8; +else if QE6_d6_13=4 then pain_cereale_autre=20; +else if QE6_d6_13=5 then pain_cereale_autre=30; +/* viennoiseries, biscuits, gateaux */ +if QE6_d6_14=. then gateaux=.; +else if QE6_d6_14=1 then gateaux=0.5; +else if QE6_d6_14=2 then gateaux=2; +else if QE6_d6_14=3 then gateaux=8; +else if QE6_d6_14=4 then gateaux=20; +else if QE6_d6_14=5 then gateaux=30; +grain_sch=sum(pate_riz,cereale_dej,pain_complet,pain_cereale_autre,gateaux)/30;",,, +PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle,core,childcarecentre_,complete,final,variable generated for children followed at 6 years of age only,"if 0<=crechedeb<12 and crechefin>0 then childcarecentre_0=1; +if 0<=crechedeb<24 and crechefin >=12 then childcarecentre_1=1; +if 0<=crechedeb<36 and crechefin >=24 then childcarecentre_2=1; +if 0<=crechedeb<48 and crechefin >=36 then childcarecentre_3=1; + + +if childcare_intro ne . and childcarecentre_0 eq . then childcarecentre_0=0; +if childcare_intro ne . and childcarecentre_1 eq . then childcarecentre_1=0; +if childcare_intro ne . and childcarecentre_2 eq . then childcarecentre_2=0; +if childcare_intro ne . and childcarecentre_3 eq . then childcarecentre_3=0;",variable generated for children followed at 6 years of age only,0,"0, 1, 2, 3" +PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle,outcome,asthma_,complete,final,,"if SRA_Q7_1=1 and SRA_Q7_2_A>=11 and SRA_Q7_2_A<12 then asthma_11=1; +else if SRA_Q7_1=0 and age_q12>=11 then asthma_11=0; +else asthma_11=.;",,11,11 +PELAGIE,harmonized,DIETASS_PSC,,,LifeCycle,core,dietass_psc,complete,final,,dietass_psc=1;,,, +PELAGIE,pelagie_q2,B575,,,LifeCycle,core,pulses_psc,complete,final,,"/* legumes secs */ +if B575=. then legume_sec=.; +else if B575=1 then legume_sec=0; +else if B575=2 then legume_sec=0.5; +else if B575=3 then legume_sec=2; +else if B575=4 then legume_sec=8; +else if B575=5 then legume_sec=20; +else if B575=6 then legume_sec=30; +else if B575=7 then legume_sec=60; +pulses_psc=legume_sec/30;",,, +PELAGIE,pelagie_q6,QE6_D6_5,,,LifeCycle,core,redmeat_sch,complete,final,,"/* viande_rouge */ +if QE6_d6_5=. then viande_rouge=.; +else if QE6_d6_5=1 then viande_rouge=0.5; +else if QE6_d6_5=2 then viande_rouge=2; +else if QE6_d6_5=3 then viande_rouge=8; +else if QE6_d6_5=4 then viande_rouge=20; +else if QE6_d6_5=5 then viande_rouge=30; + +redmeat_sch=viande_rouge/30;",,, +PELAGIE,pelagie_q12,"CT_Q1_1,CT_Q1_2,CT_Q2_1,CT_Q2_2,CT_Q3_1,CT_Q3_2,CT_Q4_1,CT_Q4_2",,,LifeCycle,core,smk_exp,partial,final,smoking status of the mother and th efather but not information about exposure of the child or not,"/* _12 to _14 depending on child age at 12yo follow-up */ +* Tabagisme passif aux domiciles; +if domimult=0 then do; + if CT_Q1_1=1 or CT_Q2_1=1 or CT_Q4_1=1 then smk_exp12=1; + else if CT_Q1_1 in (0,2) and CT_Q2_1=0 and CT_Q4_1 ne 1 then smk_exp12=0; + end; +else if domimult=1 then do; + if CT_Q1_1=1 or CT_Q2_1=1 or CT_Q4_1=1 then smk_exp12=1; + else if CT_Q1_1 in (0,2) and CT_Q2_1=0 and CT_Q4_1=0 then smk_exp12=0; + end;",smoking status of the mother and th efather but not information about exposure of the child or not,12,"12, 13, 14" +PELAGIE,pelagie_q12,FA_Q3_2,,,LifeCycle,core,famsize_child,partial,final,"Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults","/* _12 to _14 depending on child age at the 12yo-follow-up */ +famsize_child12=FA_Q3_2 +1;","Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults",13,"12, 13, 14" +PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle,outcome,ext_age_,complete,final,,ext_age_3=(b3-ddn_2021)/365.2422;,,3,3 +PELAGIE,pelagie_q12,FA_Q3_1,,,LifeCycle,core,famsize_adult,partial,final,"Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults","/* _12 to _14 depending on child age at the 12yo-follow-up */ +famsize_adult12=FA_Q3_1;","Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults",13,"12, 13, 14" +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,ATHLETE,outcome_ath,aggr_age_,complete,final,,aggr_age_12=(DATE-ddn_2021)/365.2422;,,12,12 +PELAGIE,pelagie_q2,"B413,B441,B442",,,LifeCycle,core,pets_,partial,final,data collected at 2yo (pet from birth),"if B413=0 and B441 ne 1 then do; pets_0=0; pets_1=0;pets_2=0; end; +if B413=0 and B441=1 then do; pets_0=1; pets_1=0; pets_2=0;end; + +else if B413=1 and B441=0 then do; pets_0=1; pets_1=1; pets_2=1;end; +else if B413=1 and B441=1 then do; + if 0<=B442<12 then do; pets_0=1; pets_1=0; pets_2=0;end; + else if 12<=B442<24 then do; pets_0=1; pets_1=1; pets_2=0;end; + else if 24<=B442 then do; pets_0=1; pets_1=1; pets_2=1;end; + end; +if B413=1 and B441=. then do; pets_0=1; pets_1=1; pets_2=1;end; * si animal mais on ne sait pas si séparation ou à quel âge séparation, animal présent les 2 1eres années; +if B413=1 and B441=1 and B442=. then do; pets_0=1; pets_1=1;pets_2=1; end; +if ageq2 eq 1 then pets_2=.; +if ageq2 eq 3 then pets_3=pets_2;",data collected at 2yo (pet from birth),0,"0, 1, 2, 3" +PELAGIE,pelagie_q0,V155,,,LifeCycle,core,supp_pgn,complete,final,,supp_pgn=v155;,,, +PELAGIE,pelagie_q6,QS6_C5,,,ATHLETE,outcome_ath,n_wheezing_12m_,complete,final,,"if (5 le age_enfant_quest lt 6) then do; +n_wheezing_12m_5=QS6_C5; +end;",,5,5 +PELAGIE,pelagie_q6,"QE6_A3_AGE_1,QE6_A3_AGE_2,QE6_A3_AGE_3,QE6_A3_AGE_4,QE6_A3_AGE_5,QE6_A3_AGE_6,QE6_A3_AGE_7",,,LifeCycle,core,famsize_child,complete,final,,"/* _5 to _8 depending on child age at 6yo follow-up */ +if QE6_A3_Age_1 ne . then do; famsize_child6=1;famsize_adult6=1;end; +if 0<=QE6_A3_Age_1<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_1 >17 then famsize_adult6=famsize_adult6+1; + +if 0<=QE6_A3_Age_2<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_2 >17 then famsize_adult6=famsize_adult6+1; + +if 0<=QE6_A3_Age_3<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_3 >17 then famsize_adult6=famsize_adult6+1; + +if 0<=QE6_A3_Age_4<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_4 >17 then famsize_adult6=famsize_adult6+1; + +if 0<=QE6_A3_Age_5<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_5 >17 then famsize_adult6=famsize_adult6+1; + +if 0<=QE6_A3_Age_6<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_6 >17 then famsize_adult6=famsize_adult6+1; + +if 0<=QE6_A3_Age_7<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_7 >17 then famsize_adult6=famsize_adult6+1;",,5,"5, 6, 7, 8" +PELAGIE,pelagie_q12,"SRA_Q1_2,SRA_Q1_3_A,SRA_Q1_4_A,AGE_Q12",,,LifeCycle,outcome,whe_,complete,final,,"if (SRA_Q1_1=1 and (SRA_Q1_3_A>=12 and SRA_Q1_3_A<13) or (SRA_Q1_4_A>=12 and SRA_Q1_4_A<13)) or (SRA_Q1_2=1 + and age_q12>=12 and age_q12<13) then whe_12=1; +else if (SRA_Q1_1=0 and age_q12>=12) or (SRA_Q1_2=0 and age_q12>=12 and age_q12<13) then whe_12=0; +else whe_12=.;",,12,12 +PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle,outcome,hipcircmes_,complete,final,,hipcircmes_151=0;,,151,151 +PELAGIE,pelagie_q2,AGE_Q2ANS,,,LifeCycle,core,dietage_psc,complete,final,,dietage_psc=age_q2ans/12;,,, +PELAGIE,pelagie_q6,"QE6_A3_AGE_1,QE6_A3_AGE_2,QE6_A3_AGE_3,QE6_A3_AGE_4,QE6_A3_AGE_5,QE6_A3_AGE_6,QE6_A3_AGE_7",,,LifeCycle,core,famsize_adult,complete,final,,"/* _5 to _8 depending on child age at 6yo follow-up */ +if QE6_A3_Age_1 ne . then do; famsize_child6=1;famsize_adult6=1;end; +if 0<=QE6_A3_Age_1<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_1 >17 then famsize_adult6=famsize_adult6+1; + +if 0<=QE6_A3_Age_2<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_2 >17 then famsize_adult6=famsize_adult6+1; + +if 0<=QE6_A3_Age_3<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_3 >17 then famsize_adult6=famsize_adult6+1; + +if 0<=QE6_A3_Age_4<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_4 >17 then famsize_adult6=famsize_adult6+1; + +if 0<=QE6_A3_Age_5<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_5 >17 then famsize_adult6=famsize_adult6+1; + +if 0<=QE6_A3_Age_6<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_6 >17 then famsize_adult6=famsize_adult6+1; + +if 0<=QE6_A3_Age_7<18 then famsize_child6=famsize_child6+1; +else if QE6_A3_Age_7 >17 then famsize_adult6=famsize_adult6+1;",,5,"5, 6, 7, 8" +PELAGIE,pelagie_q6,"QE6_NB_DOMICILE,QE6_F3_1,QE6_F3_2,QE6_F3_3,QE6_F3_4,QE6_F3_5",,,LifeCycle,core,pets_,complete,final,"pets_5, _6_ or _7 is filled in according to the exact age of the child when answering the 6yo questionnaire","if QE6_Nb_Domicile=1 then do; if QE6_F3_1=1 then pets_6=1; else if QE6_F3_1=0 then pets_6=0; end; +else if QE6_Nb_Domicile=2 then do; if QE6_F3_2=1 then pets_6=1; else if QE6_F3_2=0 then pets_6=0; end; +else if QE6_Nb_Domicile=3 then do; if QE6_F3_3=1 then pets_6=1; else if QE6_F3_3=0 then pets_6=0; end; +else if QE6_Nb_Domicile=4 then do; if QE6_F3_4=1 then pets_6=1; else if QE6_F3_4=0 then pets_6=0; end; +else if QE6_Nb_Domicile=5 then do; if QE6_F3_5=1 then pets_6=1; else if QE6_F3_5=0 then pets_6=0; end;","pets_5, _6_ or _7 is filled in according to the exact age of the child when answering the 6yo questionnaire",5,"5, 6, 7" +PELAGIE,pelagie_q6,QE6_D6_10,,,LifeCycle,core,veg_sch,partial,final,Partial harmonization because it can include potatoes,"/* legumes et crudités */ +if QE6_d6_10=. then legume=.; +else if QE6_d6_10=1 then legume=0.5; +else if QE6_d6_10=2 then legume=2; +else if QE6_d6_10=3 then legume=8; +else if QE6_d6_10=4 then legume=20; +else if QE6_d6_10=5 then legume=30; + +veg_sch=legume/30;",Partial harmonization because it can include potatoes,, +PELAGIE,pelagie_q12,LV_Q3_1,,,LifeCycle,core,pets_,complete,final,"pets_12, _13_ or _14 is filled in according to the exact age of the child when answering the 12yo questionnaire",pets_12=LV_Q3_1;,"pets_12, _13_ or _14 is filled in according to the exact age of the child when answering the 12yo questionnaire",12,"12, 13, 14" +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_bpa_lod_t,complete,final,,BDD_phtalates_phenols$m_bpa_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.04,,1,1 +PELAGIE,BDD_phtalates_phenols,"OXBE,SGURINEF",,,ATHLETE,chemicals_ath,m_oxbe_raw_t,complete,final,,BDD_phtalates_phenols$m_oxbe_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$OXBE,,1,1 +PELAGIE,pelagie_q2,"C611,C612,A5,A6,A8","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12","QE6_A1,QE6_A2_SEMAINE,QE6_A2_MOIS,QE6_A4,QE6_A4_DATE_AAMM,QE6_A4AUTRE,FA_Q2_1,FA_Q3_1",LifeCycle,core,fam_splitup,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. +Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. +Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",0,"0, 2, 4, 6, 8, 10, 12, 14" +PELAGIE,pelagie_q2,"A44,C593","pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12","QE6_G1,QE6_G2,CT_Q1_1,CT_Q1_2,CT_Q2_1,CT_Q2_2,CT_Q3_1,CT_Q3_2,CT_Q4_1,CT_Q4_2",LifeCycle,core,fam_splitup,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. +Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. +Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",1,"1, 3, 5, 7, 9, 11, 13" +PELAGIE,pelagie_q2,C676,,,LifeCycle,core,famsize_child,complete,final,,"/* _1 to _3 depending on child age at the 2yo-follow-up */ +if c676 ne . then famsize_child2=c676+1;",,1,"1, 2, 3" +PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle,outcome,asthma_,complete,final,,"if SRA_Q7_1=1 and SRA_Q7_2_A>=13 and SRA_Q7_2_A<14 then asthma_13=1; +else if SRA_Q7_1=0 and age_q12>=13 then asthma_13=0; +else asthma_13=.;",,13,13 +PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle,outcome,hipcircmes_,complete,final,,hipcircmes_150=0;,,150,150 +PELAGIE,harmonized,DIETASS_PGN,,,LifeCycle,core,dietass_pgn,complete,final,,dietass_pgn=1;,,, +PELAGIE,harmonized,ATT_INSTR_6,,,ATHLETE,outcome_ath,att_instr_,partial,final,,att_instr_6=62;,"Test=R-CPT90. 3 target items were excluded (1, 2 , 12) because of technical errors, resulting in 177 targets and 20 non-targets items",6,6 +PELAGIE,harmonized,LAN_EVAL_6,,,LifeCycle,outcome,lan_eval_,complete,final,,lan_eval_6=3;,,6,6 +PELAGIE,pelagie_q0,V122,,,LifeCycle,core,fruit_pgn,complete,final,,"/* Fruits et jus de fruits */ +if v122=. then fruits=.; +else if v122=0 then fruits=0.5; +else if v122=1 then fruits=3; +else if v122=2 then fruits=10; +else if v122=3 then fruits=20; +else if v122=4 then fruits=30; +/* fruit_pgn = Fruits during pregnancy +--> we included ""Fruits et natural (fresh) juice (v122)"" */ +fruit_pgn=fruits/30;",,, +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mchp_lod_t,complete,final,,BDD_phtalates_phenols$m_mchp_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20,,1,1 +PELAGIE,harmonized,ARMCIRCMES_0,,,LifeCycle,outcome,armcircmes_,complete,final,,armcircmes_150=0;,,150,150 +PELAGIE,pelagie_q0,"V123,V124",,,LifeCycle,core,veg_pgn,partial,final,Partial harmonization because it includes potatoes,"/* Legumes cuits et soupes */ +if v123=. then legumes_cuits=.; +else if v123=0 then legumes_cuits=0.5; +else if v123=1 then legumes_cuits=3; +else if v123=2 then legumes_cuits=10; +else if v123=3 then legumes_cuits=20; +else if v123=4 then legumes_cuits=30; +/* Crudités et salades */ +if v124=. then crudite_salade=.; +else if v124=0 then crudite_salade=0.5; +else if v124=1 then crudite_salade=3; +else if v124=2 then crudite_salade=10; +else if v124=3 then crudite_salade=20; +else if v124=4 then crudite_salade=30; +veg_pgn=sum(legumes_cuits,crudite_salade)/30;",Partial harmonization because it includes potatoes,, +PELAGIE,pelagie_q2,AGE_Q2ANS,,,LifeCycle,core,outdoorpage_psc,complete,final,,outdoorpage_psc=age_q2ans/12;,,, +PELAGIE,pelagie_q0,"V111,V112,V113,V114",,,LifeCycle,core,dairy_pgn,complete,final,,"/* fromage mou */ +if v111=. then fromage_mou=.; +else if v111=0 then fromage_mou=0.5; +else if v111=1 then fromage_mou=3; +else if v111=2 then fromage_mou=10; +else if v111=3 then fromage_mou=20; +else if v111=4 then fromage_mou=30; +/* fromage pressé */ +if v112=. then fromage_dur=.; +else if v112=0 then fromage_dur=0.5; +else if v112=1 then fromage_dur=3; +else if v112=2 then fromage_dur=10; +else if v112=3 then fromage_dur=20; +else if v112=4 then fromage_dur=30; +/* Produits laitiers écrémés et demi-écrémés */ +if v113=. then pdt_lait_ecrem=.; +else if v113=0 then pdt_lait_ecrem=0.5; +else if v113=1 then pdt_lait_ecrem=3; +else if v113=2 then pdt_lait_ecrem=10; +else if v113=3 then pdt_lait_ecrem=20; +else if v113=4 then pdt_lait_ecrem=30; +/* Produits laitiers entiers */ +if v114=. then pdt_lait_entier=.; +else if v114=0 then pdt_lait_entier=0.5; +else if v114=1 then pdt_lait_entier=3; +else if v114=2 then pdt_lait_entier=10; +else if v114=3 then pdt_lait_entier=20; +else if v114=4 then pdt_lait_entier=30; + +/* dairy_pgn = Milk and milk products during pregnancy +--> we included soft-cheese (v111) + hard-cheese (v112) + skimmed dairy products (v113) + fat dairy products (v114) */ +dairy_pgn=sum(fromage_mou,fromage_dur,pdt_lait_ecrem,pdt_lait_entier)/30;",,, +PELAGIE,pelagie_q2,B142,,,LifeCycle,outcome,asthma_,complete,final,ISAAC questionnaire,"if b142=1 then asthma_0=1; +else if b142=0 then asthma_0=0;",ISAAC questionnaire,0,0 +PELAGIE,pelagie_q2,B582,,,LifeCycle,core,nffish_psc,complete,final,,"/* poisson blanc*/ +if B582=. then poisson_blanc=.; +else if B582=1 then poisson_blanc=0; +else if B582=2 then poisson_blanc=0.5; +else if B582=3 then poisson_blanc=2; +else if B582=4 then poisson_blanc=8; +else if B582=5 then poisson_blanc=20; +else if B582=6 then poisson_blanc=30; +else if B582=7 then poisson_blanc=60; + +nffish_psc=poisson_blanc/30;",,, +PELAGIE,pelagie_q6,QE6_D6_2,,,LifeCycle,core,egg_sch,complete,final,,"/* oeufs */ +if QE6_d6_2=. then oeufs=.; +else if QE6_d6_2=1 then oeufs=0.5; +else if QE6_d6_2=2 then oeufs=2; +else if QE6_d6_2=3 then oeufs=8; +else if QE6_d6_2=4 then oeufs=20; +else if QE6_d6_2=5 then oeufs=30; + +egg_sch=oeufs/30;",,, +PELAGIE,pelagie_q2,"B578,B579,B580",,,LifeCycle,core,meat_psc,complete,final,,"/* volaille ou jambon */ +if B578=. then volaille=.; +else if B578=1 then volaille=0; +else if B578=2 then volaille=0.5; +else if B578=3 then volaille=2; +else if B578=4 then volaille=8; +else if B578=5 then volaille=20; +else if B578=6 then volaille=30; +else if B578=7 then volaille=60; + /* viande*/ +if B579=. then viande=.; +else if B579=1 then viande=0; +else if B579=2 then viande=0.5; +else if B579=3 then viande=2; +else if B579=4 then viande=8; +else if B579=5 then viande=20; +else if B579=6 then viande=30; +else if B579=7 then viande=60; + /* charcuterie*/ +if B580=. then charcut=.; +else if B580=1 then charcut=0; +else if B580=2 then charcut=0.5; +else if B580=3 then charcut=2; +else if B580=4 then charcut=8; +else if B580=5 then charcut=20; +else if B580=6 then charcut=30; +else if B580=7 then charcut=60; +meat_psc=sum(volaille,viande,charcut)/30;",,, +PELAGIE,pelagie_q0,V113,,,LifeCycle,core,lfdairy_pgn,complete,final,,"/* Produits laitiers écrémés et demi-écrémés */ +if v113=. then pdt_lait_ecrem=.; +else if v113=0 then pdt_lait_ecrem=0.5; +else if v113=1 then pdt_lait_ecrem=3; +else if v113=2 then pdt_lait_ecrem=10; +else if v113=3 then pdt_lait_ecrem=20; +else if v113=4 then pdt_lait_ecrem=30; +/* lfdairy_pgn = Low fat dairy during pregnancy +--> we included low fat dairy (v113) */ +lfdairy_pgn=pdt_lait_ecrem/30;",,, +PELAGIE,pelagie_q2,"B576,B577",,,LifeCycle,core,veg_psc,complete,final,,"/* legumes cuits */ +if B576=. then legume_cuit=.; +else if B576=1 then legume_cuit=0; +else if B576=2 then legume_cuit=0.5; +else if B576=3 then legume_cuit=2; +else if B576=4 then legume_cuit=8; +else if B576=5 then legume_cuit=20; +else if B576=6 then legume_cuit=30; +else if B576=7 then legume_cuit=60; + /* crudités, salades */ +if B577=. then crudite=.; +else if B577=1 then crudite=0; +else if B577=2 then crudite=0.5; +else if B577=3 then crudite=2; +else if B577=4 then crudite=8; +else if B577=5 then crudite=20; +else if B577=6 then crudite=30; +else if B577=7 then crudite=60; +veg_psc=sum(legume_cuit,crudite)/30;",,, +PELAGIE,pelagie_q0,"V118,V119,V120,V121",,,LifeCycle,core,fish_pgn,complete,final,,"/* Poissons de mer */ +if v118=. then poissons=.; +else if v118=0 then poissons=0.5; +else if v118=1 then poissons=3; +else if v118=2 then poissons=10; +else if v118=3 then poissons=20; +else if v118=4 then poissons=30; +/* Coquillages */ +if v119=. then coquillages=.; +else if v119=0 then coquillages=0.5; +else if v119=1 then coquillages=3; +else if v119=2 then coquillages=10; +else if v119=3 then coquillages=20; +else if v119=4 then coquillages=30; +/* Gros crustacés */ +if v120=. then gros_crustac=.; +else if v120=0 then gros_crustac=0.5; +else if v120=1 then gros_crustac=3; +else if v120=2 then gros_crustac=10; +else if v120=3 then gros_crustac=20; +else if v120=4 then gros_crustac=30; +/* Petits crustacés */ +if v121=. then petit_crustac=.; +else if v121=0 then petit_crustac=0.5; +else if v121=1 then petit_crustac=3; +else if v121=2 then petit_crustac=10; +else if v121=3 then petit_crustac=20; +else if v121=4 then petit_crustac=30; + +/* fish_pgn = Fish and fish products during pregnancy +--> we included fish (v118), seashells (v119), small crustaceans (v120), big crustaceans (v121) */ +fish_pgn=sum(poissons, coquillages, gros_crustac,petit_crustac)/30;",,, +PELAGIE,BDD_phtalates_phenols,"BPA,SGURINEF",,,ATHLETE,chemicals_ath,m_bpa_raw_t,complete,final,,BDD_phtalates_phenols$m_bpa_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$BPA,,2,2 +PELAGIE,harmonized,AGGR_PRO_13,,,ATHLETE,outcome_ath,aggr_pc_,complete,final,,"SDQ12$aggr_pc_13<-xtile(SDQ12$aggr_pro_13, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,13,13 +PELAGIE,pelagie_q0,"V116,V117",,,LifeCycle,core,meat_pgn,complete,final,,"/* Viande et charcuterie */ +if v116=. then viande_charcut=.; +else if v116=0 then viande_charcut=0.5; +else if v116=1 then viande_charcut=3; +else if v116=2 then viande_charcut=10; +else if v116=3 then viande_charcut=20; +else if v116=4 then viande_charcut=30; +/* Abats */ +if v117=. then abats=.; +else if v117=0 then abats=0.5; +else if v117=1 then abats=3; +else if v117=2 then abats=10; +else if v117=3 then abats=20; +else if v117=4 then abats=30; + +/* meat_pgn = Meat and meat products during pregnancy +--> we included meat and processed meat (v116) + offals (v117) */ +meat_pgn=sum(viande_charcut,abats)/30;",,, +PELAGIE,pelagie_q0,V125,,,LifeCycle,core,pulses_pgn,partial,final,Partial harmonization because it includes legumes only (no nuts),"/* Legumes sec et legumineuse */ +if v125=. then legumineuse=.; +else if v125=0 then legumineuse=0.5; +else if v125=1 then legumineuse=3; +else if v125=2 then legumineuse=10; +else if v125=3 then legumineuse=20; +else if v125=4 then legumineuse=30; + +/* pulses_pgn = Legumes, nuts and their products during pregnancy +--> we included legumes only (v125) */ +pulses_pgn=legumineuse/30;",Partial harmonization because it includes legumes only (no nuts),, +PELAGIE,pelagie_q0,V115,,,LifeCycle,core,egg_pgn,complete,final,,"/* Oeufs */ +if v115=. then oeufs=.; +else if v115=0 then oeufs=0.5; +else if v115=1 then oeufs=3; +else if v115=2 then oeufs=10; +else if v115=3 then oeufs=20; +else if v115=4 then oeufs=30; + +/* egg_pgn = Egg and egg products during pregnancy +--> we included egg (v115) */ +egg_pgn=oeufs/30;",,, +PELAGIE,pelagie_q0,SGINCLUSIONF,,,LifeCycle,core,dietga_pgn,complete,final,,dietga_pgn=SGinclusionF;,,, +PELAGIE,pelagie_q2,"B584,B585",,,LifeCycle,core,fruit_psc,complete,final,,"/* fruits */ +if B584=. then fruits=.; +else if B584=1 then fruits=0; +else if B584=2 then fruits=0.5; +else if B584=3 then fruits=2; +else if B584=4 then fruits=8; +else if B584=5 then fruits=20; +else if B584=6 then fruits=30; +else if B584=7 then fruits=60; + /* compote */ +if B585=. then compote=.; +else if B585=1 then compote=0; +else if B585=2 then compote=0.5; +else if B585=3 then compote=2; +else if B585=4 then compote=8; +else if B585=5 then compote=20; +else if B585=6 then compote=30; +else if B585=7 then compote=60; +fruit_psc=sum(fruits,compote)/30;",,, +PELAGIE,harmonized,"WHE_0,WHE_1",,,LifeCycle,outcome,whe_ever,complete,final,ISAAC questionnaire,"if whe_0=1 or whe_1=1 then whe_ever2=1; +else if whe_0=0 and whe_1=0 then whe_ever2=0; +else if whe_0=. or whe_1=. then whe_ever2=.;",ISAAC questionnaire,2,2 +PELAGIE,pelagie_q2,"B559,B568,B569,B570",,,LifeCycle,core,dairy_psc,complete,final,,"/* lait */ +if B559=. then lait=.; +else if B559=0 then lait=0; +else if B559=1 then lait=30; +else if B559=2 then lait=45; +else if B559=3 then lait=75; +else if B559=4 then lait=105; + /* laitages */ +if B568=. then laitage=.; +else if B568=1 then laitage=0; +else if B568=2 then laitage=0.5; +else if B568=3 then laitage=2; +else if B568=4 then laitage=8; +else if B568=5 then laitage=20; +else if B568=6 then laitage=30; +else if B568=7 then laitage=60; + /* desserts lactés */ +if B569=. then dessert_lact=.; +else if B569=1 then dessert_lact=0; +else if B569=2 then dessert_lact=0.5; +else if B569=3 then dessert_lact=2; +else if B569=4 then dessert_lact=8; +else if B569=5 then dessert_lact=20; +else if B569=6 then dessert_lact=30; +else if B569=7 then dessert_lact=60; + /* fromage */ +if B570=. then fromage=.; +else if B570=1 then fromage=0; +else if B570=2 then fromage=0.5; +else if B570=3 then fromage=2; +else if B570=4 then fromage=8; +else if B570=5 then fromage=20; +else if B570=6 then fromage=30; +else if B570=7 then fromage=60; +dairy_psc=sum(lait,laitage,dessert_lact,fromage)/30;",,, +PELAGIE,pelagie_q2,"B581,B582",,,LifeCycle,core,fish_psc,complete,final,,"/* poisson gras*/ +if B581=. then poisson_gras=.; +else if B581=1 then poisson_gras=0; +else if B581=2 then poisson_gras=0.5; +else if B581=3 then poisson_gras=2; +else if B581=4 then poisson_gras=8; +else if B581=5 then poisson_gras=20; +else if B581=6 then poisson_gras=30; +else if B581=7 then poisson_gras=60; + /* poisson blanc*/ +if B582=. then poisson_blanc=.; +else if B582=1 then poisson_blanc=0; +else if B582=2 then poisson_blanc=0.5; +else if B582=3 then poisson_blanc=2; +else if B582=4 then poisson_blanc=8; +else if B582=5 then poisson_blanc=20; +else if B582=6 then poisson_blanc=30; +else if B582=7 then poisson_blanc=60; +fish_psc=sum(poisson_gras,poisson_blanc)/30;",,, +PELAGIE,pelagie_q2,B579,,,LifeCycle,core,redmeat_psc,complete,final,,"/* viande*/ +if B579=. then viande=.; +else if B579=1 then viande=0; +else if B579=2 then viande=0.5; +else if B579=3 then viande=2; +else if B579=4 then viande=8; +else if B579=5 then viande=20; +else if B579=6 then viande=30; +else if B579=7 then viande=60; + +redmeat_psc=viande/30;",,, +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_bpa_lod_t,complete,final,,BDD_phtalates_phenols$m_bpa_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.04,,2,2 +PELAGIE,pelagie_q2,B583,,,LifeCycle,core,egg_psc,complete,final,,"/* oeufs */ +if B583=. then oeufs=.; +else if B583=1 then oeufs=0; +else if B583=2 then oeufs=0.5; +else if B583=3 then oeufs=2; +else if B583=4 then oeufs=8; +else if B583=5 then oeufs=20; +else if B583=6 then oeufs=30; +else if B583=7 then oeufs=60; +egg_psc=oeufs/30;",,, +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_bps_lod_t,complete,final,,BDD_phtalates_phenols$m_bps_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.10,,2,2 +PELAGIE,pelagie_q6,"QS6_C37,QS6_C37_CHEZ_LEQUEL,QS6_C37_LAQUELLE",,,LifeCycle,outcome,allergy_any_m,partial,final,"partial - collected at 6yo, may cover the postnatal period","if allergy_inh_m=1 or allergy_food_m=1 then allergy_any_m=1; +else if allergy_inh_m=0 and allergy_food_m=0 then allergy_any_m=0;","partial - collected at 6yo, may cover the postnatal period",, +PELAGIE,pelagie_q2,B580,,,LifeCycle,core,procmeat_psc,partial,final,Partial harmonization because ham is not included,"/* charcuterie*/ +if B580=. then charcut=.; +else if B580=1 then charcut=0; +else if B580=2 then charcut=0.5; +else if B580=3 then charcut=2; +else if B580=4 then charcut=8; +else if B580=5 then charcut=20; +else if B580=6 then charcut=30; +else if B580=7 then charcut=60; + +procmeat_psc=charcut/30;",Partial harmonization because ham is not included,, +PELAGIE,pelagie_q2,"B586,B587,B588",,,LifeCycle,core,swebev_psc,partial,final,Partial harmonization because it includes light soda,"/* jus de fruits */ +if B586=. then jus_fruit=.; +else if B586=1 then jus_fruit=0; +else if B586=2 then jus_fruit=0.5; +else if B586=3 then jus_fruit=2; +else if B586=4 then jus_fruit=8; +else if B586=5 then jus_fruit=20; +else if B586=6 then jus_fruit=30; +else if B586=7 then jus_fruit=60; + /* sodas ordinaires et sirops */ +if B587=. then sodas=.; +else if B587=1 then sodas=0; +else if B587=2 then sodas=0.5; +else if B587=3 then sodas=2; +else if B587=4 then sodas=8; +else if B587=5 then sodas=20; +else if B587=6 then sodas=30; +else if B587=7 then sodas=60; + /* sodas light */ +if B588=. then sodas_ligth=.; +else if B588=1 then sodas_ligth=0; +else if B588=2 then sodas_ligth=0.5; +else if B588=3 then sodas_ligth=2; +else if B588=4 then sodas_ligth=8; +else if B588=5 then sodas_ligth=20; +else if B588=6 then sodas_ligth=30; +else if B588=7 then sodas_ligth=60; + +swebev_psc=sum(jus_fruit,sodas,sodas_ligth)/30;",Partial harmonization because it includes light soda,, +PELAGIE,pelagie_q2,"B572,B573",,,LifeCycle,core,potat_psc,complete,final,,"/* pomme de terre, purée */ +if B572=. then patate=.; +else if B572=1 then patate=0; +else if B572=2 then patate=0.5; +else if B572=3 then patate=2; +else if B572=4 then patate=8; +else if B572=5 then patate=20; +else if B572=6 then patate=30; +else if B572=7 then patate=60; + /* frites, p-d-t sautées */ +if B573=. then frite=.; +else if B573=1 then frite=0; +else if B573=2 then frite=0.5; +else if B573=3 then frite=2; +else if B573=4 then frite=8; +else if B573=5 then frite=20; +else if B573=6 then frite=30; +else if B573=7 then frite=60; + +potat_psc=sum(patate,frite)/30;",,, +PELAGIE,pelagie_q2,B593,,,LifeCycle,core,sav_psc,complete,final,,"/* chips, biscuits apéritifs */ +if B593=. then chips=.; +else if B593=1 then chips=0; +else if B593=2 then chips=0.5; +else if B593=3 then chips=2; +else if B593=4 then chips=8; +else if B593=5 then chips=20; +else if B593=6 then chips=30; +else if B593=7 then chips=60; + +sav_psc=chips/30;",,, +PELAGIE,pelagie_q2,B560,,,LifeCycle,core,skipbreakf_psc,partial,final,Partial harmonization : binary variable (yes/no) instead of times per day,"/* skip breakfast 0=no/1=yes : from question ""Does he have breakfast almost every day, even if limited to milk baby bottle? 0=no 1=yes"" */ +if b560=0 then skipbreakf_psc=1; +else if b560=1 then skipbreakf_psc=0;",Partial harmonization : binary variable (yes/no) instead of times per day,, +PELAGIE,harmonized,INT_EVAL_2,,,LifeCycle,outcome,int_eval_,complete,final,,eval=2;,,2,2 +PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle,outcome,asthma_,complete,final,,"asthma_8bis=asthma_8; +if asthma_8bis=1 or (SRA_Q7_1=1 and SRA_Q7_2_A>=8 and SRA_Q7_2_A<9) then asthma_8=1; +else if asthma_8bis=0 or (SRA_Q7_1=0 and age_q12>=8) then asthma_8=0; +else asthma_8=.; +drop asthma_8bis;",,8,8 +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_153=0;,,153,153 +PELAGIE,pelagie_q2,"B458,B459",,,LifeCycle,core,famdinner_psc,partial,final,Partial harmonization : binary variable (yes/no) instead of times per day,"/* Family dinner or dinner with at least one adult : from question ""usually, with who your children is eaten ? 1-alone / 2-with someonelse but not the parents / 3-with at least one parent / 4=other, specified"" */ +if B458=1 or B458=2 then famdinner_psc=0; +else if B458=3 then famdinner_psc=1; +else if B458=4 & B459 in (""LES SOIRS SEUL MAIS LES WEEK END AVEC SES PARENTS"", ""MIDI AVEC ENFANTS QUE JE GARDE ET SOIR AVEC SA SOE"") then famdinner_psc=0; +else if B458=4 & B459 in (""SEULE OU AVEC LES PARENTS"", ""SEUL OU AVEC SA SOEUR OU TOUS EN FAMILLE"") then famdinner_psc=.; +else if B458=4 & B459="""" then famdinner_psc=.; +else if B458=4 then famdinner_psc=1; +else if B458=. & B459 in (""AVEC TOUTE LA FAMILLE"") then famdinner_psc=1;",Partial harmonization : binary variable (yes/no) instead of times per day,, +PELAGIE,pelagie_q2,B460,,,LifeCycle,core,tveat_psc,partial,final,Partial harmonization : binary variable (yes/no) instead of times per day,"/* Eating with the TV on : from question ""Is the TV on when the child is eaten? 1=Never; 2=Sometimes; 3=Often; 4=Always""*/ +tveat_psc=b460;",Partial harmonization : binary variable (yes/no) instead of times per day,, +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle,outcome,triglyceridesmes_,complete,final,,triglyceridesmes_151=0;,,151,151 +PELAGIE,pelagie_q2,"B295,B296,B298,B299,B301,B302,B303",,,LifeCycle,core,sleept_psc,complete,final,,"/* Sommeil nuit : convertir format heure du couché et heure du réveil */ +b295b = strip(put(b295, $2.)); +b296b = strip(put(b296, $2.)); +b298b = strip(put(b298, $2.)); +b299b = strip(put(b299, $2.)); + +if b295b ne . and b296b=. then b296b=""00""; +if b296b=""0"" then b296b=""00""; +if b299b=""0"" then b299b=""00""; +if b298b ne . and b299b=. then b299b=""00""; +if b298b=""5"" then b298b=""05""; +if b298b=""6"" then b298b=""06""; +if b298b=""7"" then b298b=""07""; +if b298b=""8"" then b298b=""08""; +if b298b=""9"" then b298b=""09""; + +if b295b ne . then heure_couche=b295b!!"":""!!b296b; +if b298b ne . then heure_reveil=b298b!!"":""!!b299b; + +heure_couche_b=input(heure_couche, time.); +heure_reveil_b=input(heure_reveil, time.); + +sommeil_nuit = intck('minute', dhms(today()-1,0,0,heure_couche_b),dhms(today(),0,0,heure_reveil_b))/60; + +/* sieste */ +if b301=0 then do; + b302=0; + b303=0; +end; +if b302=. & b303=. then min_sieste=.; +else if b302=. then b302=0; +else if b303=. then b303=0; + +min_sieste=b302*60+b303; +heure_sieste=min_sieste/60; + +/* sommeil jour + nuit */ +if sommeil_nuit ne . then sleept_psc=sommeil_nuit+heure_sieste;",,, +PELAGIE,pelagie_q2,AGE_Q2ANS,,,LifeCycle,core,sleeptage_psc,complete,final,,"/* age enfant */ +sleeptage_psc=age_q2ans/12;",,, +PELAGIE,pelagie_q12,"SRA_Q1_1,SRA_Q1_3_A,SRA_Q1_4_A",,,LifeCycle,outcome,whe_,partial,final,Partially harmonized because is based only on the age at the first and last episode of wheezing. No information about other episodes at this age.,"whe_8bis=whe_8; +if whe_8bis=1 or (SRA_Q1_1=1 and (SRA_Q1_3_A>=8 and SRA_Q1_3_A<9) or (SRA_Q1_4_A>=8 and SRA_Q1_4_A<9)) + then whe_8=1; +else if whe_8bis=0 or (SRA_Q1_1=0 and age_q12>=8) then whe_8=0; +else whe_8=.; +drop whe_8bis;",Partially harmonized because is based only on the age at the first and last episode of wheezing. No information about other episodes at this age.,8,8 +PELAGIE,pelagie_q2,"B328,B329,B330,B331,B332,B333",,,LifeCycle,core,outdoorp_psc,complete,final,,"/****** PROMENADE ET JEUX DEHORS *******/ + +/* semaine */ +if b329 ne . & b328=. then b328=0; +if b328 ne . & b329=. then b329=0; +out_min_sem=b328*60+b329; +/* mercredi */ +if b331 ne . & b330=. then b330=0; +if b330 ne . & b331=. then b331=0; +out_min_mer=b330*60+b331; +/* weekend */ +if b333 ne . & b332=. then b332=0; +if b332 ne . & b333=. then b333=0; +out_min_wkn=b332*60+b333; + +out_min_sem=out_min_sem*4; /* x4 jours de semaine */ +out_min_wkn=out_min_wkn*2; /* x2 jours de weekend */ + +outdoorp_psc=sum(out_min_sem,out_min_mer,out_min_wkn);",,, +PELAGIE,harmonized,INT_EVAL_6,,,LifeCycle,outcome,int_eval_,complete,final,,eval=2;,,6,6 +PELAGIE,pelagie_q6,"QE6_D6_11,QE6_D6_12",,,LifeCycle,core,whgrains_sch,complete,final,,"/* cereales petit dejeuner */ +if QE6_d6_11=. then cereale_dej=.; +else if QE6_d6_11=1 then cereale_dej=0.5; +else if QE6_d6_11=2 then cereale_dej=2; +else if QE6_d6_11=3 then cereale_dej=8; +else if QE6_d6_11=4 then cereale_dej=20; +else if QE6_d6_11=5 then cereale_dej=30; +/* pain complet */ +if QE6_d6_12=. then pain_complet=.; +else if QE6_d6_12=1 then pain_complet=0.5; +else if QE6_d6_12=2 then pain_complet=2; +else if QE6_d6_12=3 then pain_complet=8; +else if QE6_d6_12=4 then pain_complet=20; +else if QE6_d6_12=5 then pain_complet=30; + +whgrains_sch=sum(cereale_dej,pain_complet)/30;",,, +PELAGIE,pelagie_q6,"QS6_C15_SI_OUI,AGE_ENFANT_QUEST",,,LifeCycle,outcome,asthma_,partial,final,partial - collected at the 6yo follow-up but may have been diagnosed at any age before,if (6 le age_enfant_quest lt 7) then asthma_6=qs6_c15_si_oui;,partial - collected at the 6yo follow-up but may have been diagnosed at any age before,6,6 +PELAGIE,pelagie_q2,"B322,B323,B324,B325,B326,B327",,,LifeCycle,core,screenoth_psc,partial,final,"Partial harmonization because it includes watching TV (no possibility to distinguish TV, video games, computer,…)","/* semaine */ +if b323 ne . & b322=. then b322=0; +if b322 ne . & b323=. then b323=0; +tv_min_sem=b322*60+b323; +/* mercredi */ +if b325 ne . & b324=. then b324=0; +if b324 ne . & b325=. then b325=0; +tv_min_mer=b324*60+b325; +/* weekend */ +if b327 ne . & b326=. then b326=0; +if b326 ne . & b327=. then b327=0; +tv_min_wkn=b326*60+b327; + +tv_min_sem=tv_min_sem*4; /* x4 jours de semaine */ +tv_min_wkn=tv_min_wkn*2; /* x2 jours de weekend */ + +screenoth_psc=sum(tv_min_sem,tv_min_mer,tv_min_wkn);","Partial harmonization because it includes watching TV (no possibility to distinguish TV, video games, computer,…)",, +PELAGIE,pelagie_q2,AGE_Q2ANS,,,LifeCycle,core,screenage_psc,complete,final,,screenage_psc=age_q2ans/12;,,, +PELAGIE,pelagie_q6,QE6_D6_1,,,LifeCycle,core,dairy_sch,complete,final,,"/* pdt laitiers */ +if QE6_d6_1=. then pdr_lait=.; +else if QE6_d6_1=1 then pdr_lait=0.5; +else if QE6_d6_1=2 then pdr_lait=2; +else if QE6_d6_1=3 then pdr_lait=8; +else if QE6_d6_1=4 then pdr_lait=20; +else if QE6_d6_1=5 then pdr_lait=30; + +dairy_sch=pdr_lait/30;",,, +PELAGIE,pelagie_q6,"QE6_D6_7,QE6_D6_8",,,LifeCycle,core,fish_sch,complete,final,,"/* poisson */ +if QE6_d6_7=. then poisson=.; +else if QE6_d6_7=1 then poisson=0.5; +else if QE6_d6_7=2 then poisson=2; +else if QE6_d6_7=3 then poisson=8; +else if QE6_d6_7=4 then poisson=20; +else if QE6_d6_7=5 then poisson=30; +/* fruits de mer */ +if QE6_d6_8=. then fruit_mer=.; +else if QE6_d6_8=1 then fruit_mer=0.5; +else if QE6_d6_8=2 then fruit_mer=2; +else if QE6_d6_8=3 then fruit_mer=8; +else if QE6_d6_8=4 then fruit_mer=20; +else if QE6_d6_8=5 then fruit_mer=30; + +fish_sch=sum(poisson,fruit_mer)/30;",,, +PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle,outcome,asthma_,complete,final,,"if SRA_Q7_1=1 and SRA_Q7_2_A>=10 and SRA_Q7_2_A<11 then asthma_10=1; +else if SRA_Q7_1=0 and age_q12>=10 then asthma_10=0; +else asthma_10=.;",,10,10 +PELAGIE,pelagie_q6,"QE6_D6_4,QE6_D6_5,QE6_D6_6",,,LifeCycle,core,meat_sch,complete,final,,"/* volaille */ +if QE6_d6_4=. then volaille=.; +else if QE6_d6_4=1 then volaille=0.5; +else if QE6_d6_4=2 then volaille=2; +else if QE6_d6_4=3 then volaille=8; +else if QE6_d6_4=4 then volaille=20; +else if QE6_d6_4=5 then volaille=30; +/* viande_rouge */ +if QE6_d6_5=. then viande_rouge=.; +else if QE6_d6_5=1 then viande_rouge=0.5; +else if QE6_d6_5=2 then viande_rouge=2; +else if QE6_d6_5=3 then viande_rouge=8; +else if QE6_d6_5=4 then viande_rouge=20; +else if QE6_d6_5=5 then viande_rouge=30; +/* autre_viande */ +if QE6_d6_6=. then autre_viande=.; +else if QE6_d6_6=1 then autre_viande=0.5; +else if QE6_d6_6=2 then autre_viande=2; +else if QE6_d6_6=3 then autre_viande=8; +else if QE6_d6_6=4 then autre_viande=20; +else if QE6_d6_6=5 then autre_viande=30; + +meat_sch=sum(volaille,viande_rouge,autre_viande)/30;",,, +PELAGIE,pelagie_q6,QE6_D6_15,,,LifeCycle,core,sugar_sch,complete,final,,"/* bonbons chocolats */ +if QE6_d6_15=. then bonbon=.; +else if QE6_d6_15=1 then bonbon=0.5; +else if QE6_d6_15=2 then bonbon=2; +else if QE6_d6_15=3 then bonbon=8; +else if QE6_d6_15=4 then bonbon=20; +else if QE6_d6_15=5 then bonbon=30; + +sugar_sch=bonbon/30;",,, +PELAGIE,pelagie_q6,"QE6_D6_17,QE6_D6_18",,,LifeCycle,core,swebev_sch,partial,final,Partial harmonization because it includes light soda,"/* sodas et sirop */ +if QE6_d6_17=. then sodas=.; +else if QE6_d6_17=1 then sodas=0.5; +else if QE6_d6_17=2 then sodas=2; +else if QE6_d6_17=3 then sodas=8; +else if QE6_d6_17=4 then sodas=20; +else if QE6_d6_17=5 then sodas=30; +/* sodas light*/ +if QE6_d6_18=. then sodas_light=.; +else if QE6_d6_18=1 then sodas_light=0.5; +else if QE6_d6_18=2 then sodas_light=2; +else if QE6_d6_18=3 then sodas_light=8; +else if QE6_d6_18=4 then sodas_light=20; +else if QE6_d6_18=5 then sodas_light=30; + +swebev_sch=sum(sodas,sodas_light)/30;",Partial harmonization because it includes light soda,, +PELAGIE,pelagie_q6,QE6_D6_16,,,LifeCycle,core,sav_sch,complete,final,,"/* chips, biscuits apéritifs */ +if QE6_d6_16=. then chips=.; +else if QE6_d6_16=1 then chips=0.5; +else if QE6_d6_16=2 then chips=2; +else if QE6_d6_16=3 then chips=8; +else if QE6_d6_16=4 then chips=20; +else if QE6_d6_16=5 then chips=30; + +sav_sch=chips/30;",,, +PELAGIE,pelagie_q6,AGE_ENFANT_QUEST,,,LifeCycle,core,dietage_sch,complete,final,,dietage_sch=age_enfant_quest,,, +PELAGIE,pelagie_q6,QE6_D3,,,LifeCycle,core,tveat_sch,partial,final,partially harmonised : categorical variable instaed of continuous (1=almost never / 2=sometimes / 3=oftern / 4=always),tveat_sch=QE6_D3+1;,partially harmonised : categorical variable instaed of continuous (1=almost never / 2=sometimes / 3=oftern / 4=always),, +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_trcs_lod_t,complete,final,,BDD_phtalates_phenols$m_trcs_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.04,,1,1 +PELAGIE,BDD_phtalates_phenols,"BP_F,SGURINEF",,,ATHLETE,chemicals_ath,m_bpf_raw_t,complete,final,,BDD_phtalates_phenols$m_bpf_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$BP_F,,1,1 +PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle,outcome,asthma_,complete,final,,"if SRA_Q7_1=1 and SRA_Q7_2_A>=14 and SRA_Q7_2_A<15 then asthma_14=1; +else if SRA_Q7_1=0 and age_q12>=14 then asthma_14=0; +else asthma_14=.;",,14,14 +PELAGIE,pelagie_q6,"QS6_C37,QS6_C37_CHEZ_LEQUEL,QS6_C37_LAQUELLE",,,LifeCycle,outcome,allergy_inh_m,partial,final,"partial - collected at 6yo, may cover the postnatal period","if QS6_C37=0 or (QS6_C37=1 and QS6_C37_Chez_lequel=2) then do; allergy_inh_m=0; allergy_food_m=0; allergy_any_m=0; end; +else if QS6_C37=1 and QS6_C37_Chez_lequel in (1,3) then do; + if QS6_C37_Laquelle in (""LIST OF FREE TEXT THAT ARE INHALANT ALLERGIES"") then allergy_inh_m=1; + else if QS6_C37_Laquelle in (""LIST OF FREE TEXT THAT ARE NOT INFORMATIVE, ie, could be the mother or the father"") then allergy_inh_m=.; + else allergy_inh_m=0; +end;","partial - collected at 6yo, may cover the postnatal period",, +PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle,outcome,asthma_,complete,final,,"if SRA_Q7_1=1 and SRA_Q7_2_A>=12 and SRA_Q7_2_A<13 then asthma_12=1; +else if SRA_Q7_1=0 and age_q12>=12 then asthma_12=0; +else asthma_12=.;",,12,12 +PELAGIE,pelagie_q2,B143,,,LifeCycle,outcome,asthma_,complete,final,ISAAC questionnaire,"if b143=1 then asthma_1=1; +else if b143=0 then asthma_1=0;",ISAAC questionnaire,1,1 +PELAGIE,pelagie_q6,"QS6_C37,QS6_C37_CHEZ_LEQUEL,QS6_C37_LAQUELLE",,,LifeCycle,outcome,allergy_food_m,partial,final,"partial - collected at 6yo, may cover the postnatal period","if QS6_C37=0 or (QS6_C37=1 and QS6_C37_Chez_lequel=2) then do; allergy_inh_m=0; allergy_food_m=0; allergy_any_m=0; end; +else if QS6_C37=1 and QS6_C37_Chez_lequel in (1,3) then do; + if QS6_C37_Laquelle in (""LIST OF FREE TEXT THAT ARE FOOD ALLERGIES"") then allergy_food_m=1; + else if QS6_C37_Laquelle in (""LIST OF FREE TEXT THAT ARE NOT INFORMATIVE, ie, could be the mother or the father"") then allergy_food_m=.; + else allergy_food_m=0; +end;","partial - collected at 6yo, may cover the postnatal period",, +PELAGIE,pelagie_q2,"B128,B129",,,LifeCycle,outcome,whe_,complete,final,ISAAC questionnaire,"if B129=0 then crise_siff_inf1an=0; +else if B129=1 then crise_siff_inf1an=1; +else if B129=2 or B129=3 then crise_siff_inf1an=2; +else if B129=. and B128=. then crise_siff_inf1an=.; +else if B129=. and B128=1 then crise_siff_inf1an=.; +else if B129=. and B128=0 then crise_siff_inf1an=0; + +if crise_siff_inf1an=. then whe_0=.; +else if crise_siff_inf1an=0 then whe_0=0; +else if crise_siff_inf1an in (1,2) then whe_0=1;",ISAAC questionnaire,0,0 +PELAGIE,pelagie_q2,"B128,B130",,,LifeCycle,outcome,whe_,complete,final,ISAAC questionnaire,"if B130=0 then crise_siff_sup1an=0; +else if B130=1 then crise_siff_sup1an=1; +else if B130=2 or B130=3 then crise_siff_sup1an=2; +else if B130=. and B128=. then crise_siff_sup1an=.; +else if B130=. and B128=1 then crise_siff_sup1an=.; +else if B130=. and B128=0 then crise_siff_sup1an=0; + +if crise_siff_sup1an=. then whe_1=.; +else if crise_siff_sup1an=0 then whe_1=0; +else if crise_siff_sup1an in (1,2) then whe_1=1;",ISAAC questionnaire,1,1 +PELAGIE,pelagie_q6,"QS6_C4,AGE_ENFANT_QUEST",,,LifeCycle,outcome,whe_,complete,final,ISAAC questionnaire,if (5 le age_enfant_quest lt 6) then whe_5=QS6_C4;,ISAAC questionnaire,5,5 +PELAGIE,pelagie_q6,"QS6_C4,AGE_ENFANT_QUEST",,,LifeCycle,outcome,whe_,complete,final,ISAAC questionnaire,if (6 le age_enfant_quest lt 7) then whe_6=QS6_C4;,ISAAC questionnaire,6,6 +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle,outcome,ext_age_,complete,final,,ext_age_5=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,5,5 +PELAGIE,pelagie_q6,"QS6_C4,AGE_ENFANT_QUEST","pelagie_q12,pelagie_q12,pelagie_q12","SRA_Q1_1,SRA_Q1_3_A,SRA_Q1_4_A",LifeCycle,outcome,whe_,complete,final,ISAAC questionnaire. Updated with data from 12-year-old follow-up,"if (7 le age_enfant_quest lt 8) then whe_7=QS6_C4; + +UPDATE 12-year-old follow-up: +whe_7bis=whe_7; +if whe_7bis=1 or (SRA_Q1_1=1 and (SRA_Q1_3_A>=7 and SRA_Q1_3_A<8) or (SRA_Q1_4_A>=7 and SRA_Q1_4_A<8)) + then whe_7=1; +else if whe_7bis=0 or (SRA_Q1_1=0 and age_q12>=7) then whe_7=0; +else whe_7=.; +drop whe_7bis;",ISAAC questionnaire. Updated with data from 12-year-old follow-up,7,7 +PELAGIE,pelagie_q6,"QS6_C15_SI_OUI,AGE_ENFANT_QUEST",,,LifeCycle,outcome,asthma_,partial,final,partial - collected at the 6yo follow-up but may have been diagnosed at any age before,if (5 le age_enfant_quest lt 6) then asthma_5=qs6_c15_si_oui;,partial - collected at the 6yo follow-up but may have been diagnosed at any age before,5,5 +PELAGIE,pelagie_q12,"SRA_Q1_1,SRA_Q1_3_A,SRA_Q1_4_A",,,LifeCycle,outcome,whe_,partial,final,Partially harmonized because is based only on the age at the first and last episode of wheezing. No information about other episodes at this age.,"whe_9bis=whe_9; +if whe_9bis=1 or (SRA_Q1_1=1 and (SRA_Q1_3_A>=9 and SRA_Q1_3_A<10) or (SRA_Q1_4_A>=9 and SRA_Q1_4_A<10)) + then whe_9=1; +else if whe_9bis=0 or (SRA_Q1_1=0 and age_q12>=9) then whe_9=0; +else whe_9=.; +drop whe_9bis;",Partially harmonized because is based only on the age at the first and last episode of wheezing. No information about other episodes at this age.,9,9 +PELAGIE,pelagie_q12,"SRA_Q1_1,SRA_Q1_3_A,SRA_Q1_4_A",,,LifeCycle,outcome,whe_,partial,final,Partially harmonized because is based only on the age at the first and last episode of wheezing. No information about other episodes at this age.,"whe_10bis=whe_10; +if whe_10bis=1 or (SRA_Q1_1=1 and (SRA_Q1_3_A>=10 and SRA_Q1_3_A<11) or (SRA_Q1_4_A>=10 and SRA_Q1_4_A<11)) + then whe_10=1; +else if whe_10bis=0 or (SRA_Q1_1=0 and age_q12>=10) then whe_10=0; +else whe_10=.; +drop whe_10bis;",Partially harmonized because is based only on the age at the first and last episode of wheezing. No information about other episodes at this age.,10,10 +PELAGIE,pelagie_q12,"SRA_Q1_2,SRA_Q1_3_A,SRA_Q1_4_A,AGE_Q12",,,LifeCycle,outcome,whe_,complete,final,,"if (SRA_Q1_1=1 and (SRA_Q1_3_A>=11 and SRA_Q1_3_A<12) or (SRA_Q1_4_A>=11 and SRA_Q1_4_A<12)) or (SRA_Q1_2=1 + and age_q12>=11 and age_q12<12) then whe_11=1; +else if (SRA_Q1_1=0 and age_q12>=11) or (SRA_Q1_2=0 and age_q12>=11 and age_q12<12) then whe_11=0; +else whe_11=.;",,11,11 +PELAGIE,pelagie_q12,"SRA_Q1_2,SRA_Q1_3_A,SRA_Q1_4_A,AGE_Q12",,,LifeCycle,outcome,whe_,complete,final,,"if (SRA_Q1_1=1 and (SRA_Q1_3_A>=13 and SRA_Q1_3_A<14) or (SRA_Q1_4_A>=13 and SRA_Q1_4_A<14)) or (SRA_Q1_2=1 + and age_q12>=13 and age_q12<14) then whe_13=1; +else if (SRA_Q1_1=0 and age_q12>=13) or (SRA_Q1_2=0 and age_q12>=13 and age_q12<14) then whe_13=0; +else whe_13=.;",,13,13 +PELAGIE,pelagie_q12,"SRA_Q1_2,SRA_Q1_3_A,SRA_Q1_4_A,AGE_Q12",,,LifeCycle,outcome,whe_,complete,final,,"if (SRA_Q1_1=1 and (SRA_Q1_3_A>=14 and SRA_Q1_3_A<15) or (SRA_Q1_4_A>=14 and SRA_Q1_4_A<15)) or (SRA_Q1_2=1 + and age_q12>=14 and age_q12<15) then whe_14=1; +else if (SRA_Q1_1=0 and age_q12>=14) or (SRA_Q1_2=0 and age_q12>=14 and age_q12<15) then whe_14=0; +else whe_14=.;",,14,14 +PELAGIE,pelagie_q6,QS6_C5,,,ATHLETE,outcome_ath,n_wheezing_12m_,complete,final,,"if (6 le age_enfant_quest lt 7) then do; +n_wheezing_12m_5=QS6_C5; +end;",,6,6 +PELAGIE,harmonized,EXT_INSTR_6,,,LifeCycle,outcome,ext_instr_,complete,final,,instr=47;,,6,6 +PELAGIE,pelagie_q6,QS6_C3,"pelagie_q12,pelagie_q12,pelagie_q12","SRA_Q1_1,SRA_Q1_3_A,SRA_Q1_4_A",LifeCycle,outcome,whe_ever5_,complete,final,ISAAC questionnaire. Updated with data from 12-year-old follow-up,"whe_ever5_10=QS6_C3; + +UPDATE 12-year-old follow-up: +whe_ever5_10bis=whe_ever5_10; +if whe_ever5_10bis=1 or (SRA_Q1_1=1 and (SRA_Q1_3_A>=5 and SRA_Q1_3_A<=10) or (SRA_Q1_4_A>=5 and SRA_Q1_4_A<=10)) + then whe_ever5_10=1; +else if whe_ever5_10bis=0 or (SRA_Q1_1=0 and age_q12>=10) then whe_ever5_10=0; +else whe_ever5_10=.; +drop whe_ever5_10bis;",ISAAC questionnaire. Updated with data from 12-year-old follow-up,10,10 +PELAGIE,harmonized,"ASTHMA_6,WHE_6,ASTHMA_MED_6",,,LifeCycle,outcome,asthma_current_MeDALL_,complete,final,,"medall_6=sum(asthma_6,whe_6,asthma_med_6); + +if medall_6 in (2,3) then asthma_current_MeDALL_6=1; +else if medall_6=0 then asthma_current_MeDALL_6=0; +else if medall_6=1 and (asthma_6 ne . and whe_6 ne . and asthma_med_6 ne .) then asthma_current_MeDALL_6=0; +else asthma_current_MeDALL_6=.;",,6,6 +PELAGIE,pelagie_q6,"QS6_C15_SI_OUI,AGE_ENFANT_QUEST","pelagie_q12,pelagie_q12","SRA_Q7_1,SRA_Q7_2_A",LifeCycle,outcome,asthma_,complete,final,Updated with data from 12-year-old follow-up,"if (7 le age_enfant_quest lt 8) then asthma_7=qs6_c15_si_oui; + +UPDATE 12-year-old follow-up: +asthma_7bis=asthma_7; +if asthma_7bis=1 or (SRA_Q7_1=1 and SRA_Q7_2_A>=7 and SRA_Q7_2_A<8) then asthma_7=1; +else if asthma_7bis=0 or (SRA_Q7_1=0 and age_q12>=7) then asthma_7=0; +else asthma_7=.; +drop asthma_7bis;",Updated with data from 12-year-old follow-up,7,7 +PELAGIE,BDD_phtalates_phenols,"OXBE,SGURINEF",,,ATHLETE,chemicals_ath,m_oxbe_raw_t,complete,final,,BDD_phtalates_phenols$m_oxbe_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$OXBE,,2,2 +PELAGIE,pelagie_q2,"B142,B134",harmonized,WHE_0,LifeCycle,outcome,asthma_current_MeDALL_,complete,final,ISAAC questionnaire,"medall_0=sum(B142,whe_0,B134); + +if medall_0 in (2,3) then asthma_current_MeDALL_0=1; +else if medall_0=0 then asthma_current_MeDALL_0=0; +else if medall_0=1 and (B142 ne . and whe_0 ne . and B134 ne .) then asthma_current_MeDALL_0=0; +else asthma_current_MeDALL_0=.;",ISAAC questionnaire,0,0 +PELAGIE,pelagie_q2,"B143,B138",harmonized,WHE_1,LifeCycle,outcome,asthma_current_MeDALL_,complete,final,ISAAC questionnaire,"medall_1=sum(B143,whe_1,B138); + +if medall_1 in (2,3) then asthma_current_MeDALL_1=1; +else if medall_1=0 then asthma_current_MeDALL_1=0; +else if medall_1=1 and (B143 ne . and whe_1 ne . and B138 ne .) then asthma_current_MeDALL_1=0; +else asthma_current_MeDALL_0=.;",ISAAC questionnaire,1,1 +PELAGIE,harmonized,"ASTHMA_5,WHE_5,ASTHMA_MED_5",,,LifeCycle,outcome,asthma_current_MeDALL_,complete,final,,"medall_5=sum(asthma_5,whe_5,asthma_med_5); + +if medall_5 in (2,3) then asthma_current_MeDALL_5=1; +else if medall_5=0 then asthma_current_MeDALL_5=0; +else if medall_5=1 and (asthma_5 ne . and whe_5 ne . and asthma_med_5 ne .) then asthma_current_MeDALL_5=0; +else asthma_current_MeDALL_5=.;",,5,5 +PELAGIE,harmonized,"ASTHMA_7,WHE_7,ASTHMA_MED_7",,,LifeCycle,outcome,asthma_current_MeDALL_,complete,final,,"medall_7=sum(asthma_7,whe_7,asthma_med_7); + +if medall_7 in (2,3) then asthma_current_MeDALL_7=1; +else if medall_7=0 then asthma_current_MeDALL_7=0; +else if medall_7=1 and (asthma_7 ne . and whe_7 ne . and asthma_med_7 ne .) then asthma_current_MeDALL_7=0; +else asthma_current_MeDALL_7=.;",,7,7 +PELAGIE,pelagie_q2,"B142,B134",harmonized,WHE_0,LifeCycle,outcome,asthma_current_ISAAC_,complete,final,,"if B142=1 and (whe_0=1 or B134=1) then asthma_current_ISAAC_0=1; +else if B142=1 and (whe_0=0 and B134=0) then asthma_current_ISAAC_0=0; +else if B142=0 then asthma_current_ISAAC_0=0;",,0,0 +PELAGIE,pelagie_q2,"B143,B138",harmonized,WHE_1,LifeCycle,outcome,asthma_current_ISAAC_,complete,final,,"if B143=1 and (whe_1=1 or B138=1) then asthma_current_ISAAC_1=1; +else if B143=1 and (whe_1=0 and B138=0) then asthma_current_ISAAC_1=0; +else if B143=0 then asthma_current_ISAAC_1=0;",,1,1 +PELAGIE,harmonized,"ASTHMA_5,WHE_5,ASTHMA_MED_5",,,LifeCycle,outcome,asthma_current_ISAAC_,complete,final,,"if asthma_5=1 and (whe_5=1 or asthma_med_5=1) then asthma_current_ISAAC_5=1; +else if asthma_5=1 and (whe_5=0 and asthma_med_5=0) then asthma_current_ISAAC_5=0; +else if asthma_5=0 then asthma_current_ISAAC_5=0;",,5,5 +PELAGIE,harmonized,INT_EVAL_3,,,LifeCycle,outcome,int_eval_,complete,final,,eval=2;,,3,3 +PELAGIE,harmonized,"ASTHMA_6,WHE_6,ASTHMA_MED_6",,,LifeCycle,outcome,asthma_current_ISAAC_,complete,final,,"if asthma_6=1 and (whe_6=1 or asthma_med_6=1) then asthma_current_ISAAC_6=1; +else if asthma_6=1 and (whe_6=0 and asthma_med_6=0) then asthma_current_ISAAC_6=0; +else if asthma_6=0 then asthma_current_ISAAC_6=0;",,6,6 +PELAGIE,harmonized,"ASTHMA_7,WHE_7,ASTHMA_MED_7",,,LifeCycle,outcome,asthma_current_ISAAC_,complete,final,,"if asthma_7=1 and (whe_7=1 or asthma_med_7=1) then asthma_current_ISAAC_7=1; +else if asthma_7=1 and (whe_7=0 and asthma_med_7=0) then asthma_current_ISAAC_7=0; +else if asthma_7=0 then asthma_current_ISAAC_7=0;",,7,7 +PELAGIE,pelagie_q2,B134,,,LifeCycle,outcome,asthma_med_,complete,final,,asthma_med_0=B134;,,0,0 +PELAGIE,pelagie_q2,B138,,,LifeCycle,outcome,asthma_med_,complete,final,,asthma_med_1=B138;,,1,1 +PELAGIE,pelagie_q2,B121,,,LifeCycle,outcome,LRTI_,partial,final,partially harmonized because concerns lower respiratory tract infection from birth to 2yo; Included bronchiolitis and bronchitis,LRTI_1=B121;,partially harmonized because concerns lower respiratory tract infection from birth to 2yo; Included bronchiolitis and bronchitis,1,1 +PELAGIE,pelagie_q6,"QS6_F3,QS6_F3_FREQUENCE_1,QS6_F3_FREQUENCE_2,QS6_F3_FREQUENCE_3,QS6_F3_FREQUENCE_4,AGE_ENFANT_QUEST",,,LifeCycle,outcome,asthma_med_,complete,final,,"if (5 le age_enfant_quest lt 6) then do; +if qs6_f3_frequence_1=0 and qs6_f3_frequence_2=0 and qs6_f3_frequence_3=0 and qs6_f3_frequence_4=0 then asthma_med_5=0; +else if qs6_f3_frequence_1 >0 or qs6_f3_frequence_2 >0 or qs6_f3_frequence_3 >0 or qs6_f3_frequence_4 >0 then asthma_med_5=1; +end;",,5,5 +PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_2,AGE_Q12,SRA_Q11_4_A",,,LifeCycle,outcome,rash_loc_,complete,final,,"if SRA_Q11_3=1 and ((SRA_Q11_4_A>=11 and SRA_Q11_4_A<12) or (SRA_Q11_2=1 and age_q12>=11 and age_q12<12)) + then rash_loc_11=1; +else if rash_11=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=11) then rash_loc_11=0; +else rash_loc_11=.;",,11,11 +PELAGIE,harmonized,WM_INSTR_6,,,LifeCycle,outcome,wm_instr_,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,wm_instr_6=59;,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,6,6 +PELAGIE,pelagie_q6,"QS6_F3,QS6_F3_FREQUENCE_1,QS6_F3_FREQUENCE_2,QS6_F3_FREQUENCE_3,QS6_F3_FREQUENCE_4,AGE_ENFANT_QUEST",,,LifeCycle,outcome,asthma_med_,complete,final,,"if (6 le age_enfant_quest lt 7) then do; +if qs6_f3_frequence_1=0 and qs6_f3_frequence_2=0 and qs6_f3_frequence_3=0 and qs6_f3_frequence_4=0 then asthma_med_6=0; +else if qs6_f3_frequence_1 >0 or qs6_f3_frequence_2 >0 or qs6_f3_frequence_3 >0 or qs6_f3_frequence_4 >0 then asthma_med_6=1; +end;",,6,6 +PELAGIE,pelagie_q6,QS6_C5,,,ATHLETE,outcome_ath,n_wheezing_12m_,complete,final,,"if (7 le age_enfant_quest lt 8) then do; +n_wheezing_12m_7=QS6_C5; +end;",,7,7 +PELAGIE,pelagie_q6,"QS6_F3,QS6_F3_FREQUENCE_1,QS6_F3_FREQUENCE_2,QS6_F3_FREQUENCE_3,QS6_F3_FREQUENCE_4,AGE_ENFANT_QUEST",,,LifeCycle,outcome,asthma_med_,complete,final,,"if (7 le age_enfant_quest lt 8) then do; +if qs6_f3_frequence_1=0 and qs6_f3_frequence_2=0 and qs6_f3_frequence_3=0 and qs6_f3_frequence_4=0 then asthma_med_7=0; +else if qs6_f3_frequence_1 >0 or qs6_f3_frequence_2 >0 or qs6_f3_frequence_3 >0 or qs6_f3_frequence_4 >0 then asthma_med_7=1; +end;",,7,7 +PELAGIE,pelagie_q6,"QS6_C1_NB_OTITE_V2,QS6_C1_NB_ANGINE_V2,QS6_C1_NB_LARYNGITE_V2",,,LifeCycle,outcome,URTI_,complete,final,"data collected at the 6-years-old follow-up; Include ear infection, throat infections and laryngitis","if sum(QS6_C1_Nb_Otite_V2,QS6_C1_Nb_Angine_V2,QS6_C1_Nb_Laryngite_V2)=. then URTI_0=.; +else if sum(QS6_C1_Nb_Otite_V2,QS6_C1_Nb_Angine_V2,QS6_C1_Nb_Laryngite_V2)=0 then URTI_0=0; +else if sum(QS6_C1_Nb_Otite_V2,QS6_C1_Nb_Angine_V2,QS6_C1_Nb_Laryngite_V2) > 0 then URTI_0=1;","data collected at the 6-years-old follow-up; Include ear infection, throat infections and laryngitis",0,0 +PELAGIE,pelagie_q2,B117,,,LifeCycle,outcome,URTI_,partial,final,partially harmonized because concerns upper respiratory tract infection from birth to 2yo; Included ear infection only,URTI_1=B117;,partially harmonized because concerns upper respiratory tract infection from birth to 2yo; Included ear infection only,1,1 +PELAGIE,harmonized,C_DEDTP_RAW_6,,,ATHLETE,chemicals_ath,c_dedtp_lod_,complete,final,,"BDD_OP$c_dedtp_lod_6<-ifelse(!is.na(BDD_OP$c_dedtp_raw_6y),0.005,NA)",,6,6 +PELAGIE,pelagie_q6,"QS6_C1_NB_BRONCHITE_V2,QS6_C1_NB_PNEUMOPATHIE_V2",,,LifeCycle,outcome,LRTI_,complete,final,"data collected at the 6-years-old follow-up; Include bronchiolite, bronchite, pneumonie, infection pulmonaire","if sum(QS6_C1_Nb_Bronchite_V2,QS6_C1_Nb_Pneumopathie_V2)=. then LRTI_0=.; +else if sum(QS6_C1_Nb_Bronchite_V2,QS6_C1_Nb_Pneumopathie_V2)=0 then LRTI_0=0; +else if sum(QS6_C1_Nb_Bronchite_V2,QS6_C1_Nb_Pneumopathie_V2) > 0 then LRTI_0=1;","data collected at the 6-years-old follow-up; Include bronchiolite, bronchite, pneumonie, infection pulmonaire",0,0 +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle,outcome,ext_age_,complete,final,,ext_age_7=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,7,7 +PELAGIE,pelagie_q2,"B153,B154,B162,B164",,,LifeCycle,outcome,food_all_,complete,final,,"/* food allergy */ +if allerg_alimentr2=0 then do; food_all_0=0; food_all_1=0; end; +else if allerg_alimentr2=1 and (b154=1 or .12) then do; food_all_0=0; food_all_1=1; end; +else if allerg_alimentr2=1 and (b153=0 and b162=0) then do; food_all_0=0; food_all_1=0; end; +else if allerg_alimentr2=. and (b153=0 and b162=0) then do; food_all_0=0; food_all_1=0; end; +else if b153=1 and b154=0 and b155=. then do; food_all_0=0; food_all_1=1; end;",,0,0 +PELAGIE,pelagie_q2,"B153,B155,B162,B164",,,LifeCycle,outcome,food_all_,complete,final,,"/* food allergy */ +if allerg_alimentr2=0 then do; food_all_0=0; food_all_1=0; end; +else if allerg_alimentr2=1 and (b154=1 or .12) then do; food_all_0=0; food_all_1=1; end; +else if allerg_alimentr2=1 and (b153=0 and b162=0) then do; food_all_0=0; food_all_1=0; end; +else if allerg_alimentr2=. and (b153=0 and b162=0) then do; food_all_0=0; food_all_1=0; end; +else if b153=1 and b154=0 and b155=. then do; food_all_0=0; food_all_1=1; end;",,1,1 +PELAGIE,pelagie_q6,"QS6_C33,AGE_ENFANT_QUEST",,,LifeCycle,outcome,food_all_,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,if (5 le age_enfant_quest lt 6) then food_all_5=qs6_C33;,data collected at the 6-year-old follow-up and concerns food allergy since birth,5,5 +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,ATHLETE,outcome_ath,aggr_age_,complete,final,,aggr_age_14=(DATE-ddn_2021)/365.2422;,,14,14 +PELAGIE,pelagie_q6,"QS6_C33,AGE_ENFANT_QUEST",,,LifeCycle,outcome,food_all_,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,if (6 le age_enfant_quest lt 7) then food_all_6=qs6_C33;,data collected at the 6-year-old follow-up and concerns food allergy since birth,6,6 +PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle,outcome,food_all_,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","if SRA_Q13_1=1 and SRA_Q13_A>=13 and SRA_Q13_A<14 then food_all_13=1; +else if SRA_Q13_1=0 and age_q12>=13 then food_all_13=0; +else food_all_13=.;","No information about different episodes, only regarding the age of child when medical diagnosis was established",13,13 +PELAGIE,pelagie_q6,"QS6_C33,AGE_ENFANT_QUEST","pelagie_q12,pelagie_q12","SRA_Q13_1,SRA_Q13_A",LifeCycle,outcome,food_all_,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth. Updated with data from 12-year-old follow-up,"if (7 le age_enfant_quest lt 8) then food_all_7=qs6_C33; + +UPDATE 12-year-old follow-up: +food_all_7bis=food_all_7; +if food_all_7bis=1 or (SRA_Q13_1=1 and SRA_Q13_A>=7 and SRA_Q13_A<8) then food_all_7=1; +else if food_all_7bis=0 or (SRA_Q13_1=0 and age_q12>=7) then food_all_7=0; +else food_all_7=.; +drop food_all_7bis;",data collected at the 6-year-old follow-up and concerns food allergy since birth. Updated with data from 12-year-old follow-up,7,7 +PELAGIE,harmonized,COMMISSION,,,ATHLETE,outcome_ath,att_com_std_,partial,final,,commission_std=commission/20;,Test=R-CPT90. 20 non-target items,6,6 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_bpf_lod_t,complete,final,,BDD_phtalates_phenols$m_bpf_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20,,2,2 +PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle,outcome,food_all_,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","food_all_8bis=food_all_8; +if food_all_8bis=1 or (SRA_Q13_1=1 and SRA_Q13_A>=8 and SRA_Q13_A<9) then food_all_8=1; +else if food_all_8bis=0 or (SRA_Q13_1=0 and age_q12>=8) then food_all_8=0; +else food_all_8=.; +drop food_all_8bis;","No information about different episodes, only regarding the age of child when medical diagnosis was established",8,8 +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle,outcome,int_age_,complete,final,,int_age_11=(DATE-ddn_2021)/365.2422;,,11,11 +PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle,outcome,food_all_,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","if SRA_Q13_1=1 and SRA_Q13_A>=9 and SRA_Q13_A<10 then food_all_9=1; +else if SRA_Q13_1=0 and age_q12>=9 then food_all_9=0; +else food_all_9=.;","No information about different episodes, only regarding the age of child when medical diagnosis was established",9,9 +PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle,outcome,food_all_,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","if SRA_Q13_1=1 and SRA_Q13_A>=10 and SRA_Q13_A<11 then food_all_10=1; +else if SRA_Q13_1=0 and age_q12>=10 then food_all_10=0; +else food_all_10=.;","No information about different episodes, only regarding the age of child when medical diagnosis was established",10,10 +PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle,outcome,food_all_,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","if SRA_Q13_1=1 and SRA_Q13_A>=11 and SRA_Q13_A<12 then food_all_11=1; +else if SRA_Q13_1=0 and age_q12>=11 then food_all_11=0; +else food_all_11=.;","No information about different episodes, only regarding the age of child when medical diagnosis was established",11,11 +PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle,outcome,food_all_,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","if SRA_Q13_1=1 and SRA_Q13_A>=12 and SRA_Q13_A<13 then food_all_12=1; +else if SRA_Q13_1=0 and age_q12>=12 then food_all_12=0; +else food_all_12=.;","No information about different episodes, only regarding the age of child when medical diagnosis was established",12,12 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=8 and SRA_Q10_2_A<9 then inh_all_8=1; +else if SRA_Q10_2=0 and SRA_Q10_2_A>=8 and SRA_Q10_2_A<9 then inh_all_8=0; +else inh_all_8=.;",No information about all the episodes of inhalant allergy,8,8 +PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_2,AGE_Q12,SRA_Q11_4_A",,,LifeCycle,outcome,rash_loc_,complete,final,,"if SRA_Q11_3=1 and ((SRA_Q11_4_A>=12 and SRA_Q11_4_A<13) or (SRA_Q11_2=1 and age_q12>=12 and age_q12<13)) + then rash_loc_12=1; +else if rash_12=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=12) then rash_loc_12=0; +else rash_loc_12=.;",,12,12 +PELAGIE,BDD_phtalates_phenols,"MEPA,SGURINEF",,,ATHLETE,chemicals_ath,m_mepa_raw_t,complete,final,,BDD_phtalates_phenols$m_mepa_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MEPA,,1,1 +PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle,outcome,food_all_,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","if SRA_Q13_1=1 and SRA_Q13_A>=14 and SRA_Q13_A<15 then food_all_14=1; +else if SRA_Q13_1=0 and age_q12>=14 then food_all_14=0; +else food_all_14=.;","No information about different episodes, only regarding the age of child when medical diagnosis was established",14,14 +PELAGIE,pelagie_q2,"B153,B162","pelagie_q6,pelagie_q12","QS6_C33,SRA_Q13_1",LifeCycle,outcome,food_all_ever,complete,final,Updated with data from 12-year-old follow-up,"if b153=1 or b162=1 then food_all_ever_q2=1; +else if b153=0 and b162=0 then food_all_ever_q2=0; +food_all_ever_q6=qs6_C33; + +if food_all_ever_q2=1 or food_all_ever_q6=1 then food_all_ever=1; +else if food_all_ever_q2=0 and food_all_ever_q6=0 then food_all_ever=0; +else if food_all_ever_q2=. and food_all_ever_q6=1 then food_all_ever=1; +else if food_all_ever_q2=. and food_all_ever_q6=0 then food_all_ever=0; + +UPDATE 12-year-old follow-up: +food_all_ever_bis=food_all_ever; +if SRA_Q13_1=1 or food_all_ever_bis=1 then food_all_ever=1; +else if SRA_Q13_1=0 and (food_all_ever_bis=0 or food_all_ever_bis=.) then food_all_ever=0; +else food_all_ever=.; +drop food_all_ever_bis;",Updated with data from 12-year-old follow-up,, +PELAGIE,pelagie_q6,"QS6_C23,QS6_C24",pelagie_q12,SRA_Q10_2,LifeCycle,outcome,inh_all_ever,partial,final,"Partially harmonized because not specify if doctor diagnosed or not; data collected at 6yo and 12yo concerns hay fever or allergy to cats, dust,… from birth. Based on the age when the allergy first appeared, not specific information about episodes at this age.","if qs6_c23=1 or qs6_c24=1 then inh_all_ever=1; +else if qs6_c23=0 and qs6_c24=0 then inh_all_ever=0; + +UPDATE 12-year-old follow-up: +inh_all_ever_bis=inh_all_ever; +if SRA_Q10_2=1 or inh_all_ever_bis=1 then inh_all_ever=1; +else if SRA_Q10_2=0 and (inh_all_ever_bis=0 or inh_all_ever_bis=.) then inh_all_ever=0; +else inh_all_ever=.; +drop inh_all_ever_bis;","Partially harmonized because not specify if doctor diagnosed or not; data collected at 6yo and 12yo concerns hay fever or allergy to cats, dust,… from birth. Based on the age when the allergy first appeared, not specific information about episodes at this age.",, +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A,SRA_Q10_2_M",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and (SRA_Q10_2_A>=0 and SRA_Q10_2_A<1) or ((SRA_Q10_2_A=0 or SRA_Q10_2_A=.) and (SRA_Q10_2_M>=0 and SRA_Q10_2_M<12)) + then inh_all_0=1; +else if SRA_Q10_2=0 and (SRA_Q10_2_A>=0 and SRA_Q10_2_A<1) or (SRA_Q10_2_M>=0 and SRA_Q10_2_M<12) then inh_all_0=0; +else inh_all_0=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,0,0 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and SRA_Q10_2_A>=5 and SRA_Q10_2_A<6 then inh_all_5=1; +else if SRA_Q10_2=0 and SRA_Q10_2_A>=5 and SRA_Q10_2_A<6 then inh_all_5=0; +else inh_all_5=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,5,5 +PELAGIE,pepsy,WISCC,,,LifeCycle,outcome,nvi_pro_,partial,final,Only the CUBES task to assess perceptive reasoning,"array NV{1} WISCc; NVi=N(of NV{*}); NVp=NVi/1; if NVp>=0.75 then do; +NV12_raw=sum(of NV{*}); +NV12_mean=NV12_raw/NVi; +NV12_pro=round(NV12_mean*1,1); +end;",Only the CUBES task to assess perceptive reasoning,5,5 +PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_2,AGE_Q12,SRA_Q11_4_A",,,LifeCycle,outcome,rash_loc_,complete,final,,"if SRA_Q11_3=1 and ((SRA_Q11_4_A>=13 and SRA_Q11_4_A<14) or (SRA_Q11_2=1 and age_q12>=13 and age_q12<14)) + then rash_loc_13=1; +else if rash_13=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=13) then rash_loc_13=0; +else rash_loc_13=.;",,13,13 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A,SRA_Q10_2_M",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and (SRA_Q10_2_A>=1 and SRA_Q10_2_A<2) or (SRA_Q10_2_M>=12 and SRA_Q10_2_M<24) then inh_all_1=1; +else if SRA_Q10_2=0 and (SRA_Q10_2_A>=1 and SRA_Q10_2_A<2) or (SRA_Q10_2_M>=12 and SRA_Q10_2_M<24) then inh_all_1=0; +else inh_all_1=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,1,1 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=9 and SRA_Q10_2_A<10 then inh_all_9=1; +else if SRA_Q10_2=0 and SRA_Q10_2_A>=9 and SRA_Q10_2_A<10 then inh_all_9=0; +else inh_all_9=.;",No information about all the episodes of inhalant allergy,9,9 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=10 and SRA_Q10_2_A<11 then inh_all_10=1; +else if SRA_Q10_2=0 and SRA_Q10_2_A>=10 and SRA_Q10_2_A<11 then inh_all_10=0; +else inh_all_10=.;",No information about all the episodes of inhalant allergy,10,10 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A,SRA_Q10_2_M",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and (SRA_Q10_2_A>=2 and SRA_Q10_2_A<3) or (SRA_Q10_2_M>=24 and SRA_Q10_2_M<36) then inh_all_2=1; +else if SRA_Q10_2=0 and (SRA_Q10_2_A>=2 and SRA_Q10_2_A<3) or (SRA_Q10_2_M>=24 and SRA_Q10_2_M<36) then inh_all_2=0; +else inh_all_2=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,2,2 +PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_2,SRA_Q11_4_A,AGE_Q12",,,LifeCycle,outcome,rash_,complete,final,,"if (SRA_Q11_1=1 and (SRA_Q11_4_A>=12 and SRA_Q11_4_A<13)) or (SRA_Q11_2=1 and (age_q12>=12 + and age_q12<13)) then rash_12=1; +else if SRA_Q11_1=0 and age_q12>=12 then rash_12=0; +else rash_12=.;",,12,12 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and SRA_Q10_2_A>=3 and SRA_Q10_2_A<4 then inh_all_3=1; +else if SRA_Q10_2=0 and SRA_Q10_2_A>=3 and SRA_Q10_2_A<4 then inh_all_3=0; +else inh_all_3=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,3,3 +PELAGIE,pelagie_q2,"B126,B127",,,ATHLETE,outcome_ath,rhinitis_sx_ever_,complete,final,,"IF B126=0 then b127=0; +if b127=1 then rhinitis_sx_ever_1=1; +else if b127=0 then rhinitis_sx_ever_1=0;",,1,1 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and SRA_Q10_2_A>=4 and SRA_Q10_2_A<5 then inh_all_4=1; +else if SRA_Q10_2=0 and SRA_Q10_2_A>=4 and SRA_Q10_2_A<5 then inh_all_4=0; +else inh_all_4=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,4,4 +PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_2,AGE_Q12,SRA_Q11_4_A",,,LifeCycle,outcome,rash_loc_,complete,final,,"if SRA_Q11_3=1 and ((SRA_Q11_4_A>=14 and SRA_Q11_4_A<15) or (SRA_Q11_2=1 and age_q12>=14 and age_q12<15)) + then rash_loc_14=1; +else if rash_14=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=14) then rash_loc_14=0; +else rash_loc_14=.;",,14,14 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and SRA_Q10_2_A>=6 and SRA_Q10_2_A<7 then inh_all_6=1; +else if SRA_Q10_2=0 and SRA_Q10_2_A>=6 and SRA_Q10_2_A<7 then inh_all_6=0; +else inh_all_6=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,6,6 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and SRA_Q10_2_A>=7 and SRA_Q10_2_A<8 then inh_all_7=1; +else if SRA_Q10_2=0 and SRA_Q10_2_A>=7 and SRA_Q10_2_A<8 then inh_all_7=0; +else inh_all_7=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,7,7 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=11 and SRA_Q10_2_A<12 then inh_all_11=1; +else if SRA_Q10_2=0 and SRA_Q10_2_A>=11 and SRA_Q10_2_A<12 then inh_all_11=0; +else inh_all_11=.;",No information about all the episodes of inhalant allergy,11,11 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=12 and SRA_Q10_2_A<13 then inh_all_12=1; +else if SRA_Q10_2=0 and SRA_Q10_2_A>=12 and SRA_Q10_2_A<13 then inh_all_12=0; +else inh_all_12=.;",No information about all the episodes of inhalant allergy,12,12 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=13 and SRA_Q10_2_A<14 then inh_all_13=1; +else if SRA_Q10_2=0 and SRA_Q10_2_A>=13 and SRA_Q10_2_A<14 then inh_all_13=0; +else inh_all_13=.;",No information about all the episodes of inhalant allergy,13,13 +PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle,outcome,inh_all_,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=14 and SRA_Q10_2_A<15 then inh_all_14=1; +else if SRA_Q10_2=0 and SRA_Q10_2_A>=14 and SRA_Q10_2_A<15 then inh_all_14=0; +else inh_all_14=.;",No information about all the episodes of inhalant allergy,14,14 +PELAGIE,pelagie_q6,QS6_C35,,,LifeCycle,outcome,urticaria,complete,final,,urticaria=QS6_C35;,,, +PELAGIE,pelagie_q6,"QS6_C25,QS6_C26,AGE_ENFANT_QUEST",,,LifeCycle,outcome,rash_,complete,final,,"if (6 le age_enfant_quest lt 7) then do; +if QS6_C25=0 then rash_6=0; +else if QS6_C26=0 then rash_6=0; +else if QS6_C26=1 then rash_6=1; +end;",,6,6 +PELAGIE,harmonized,EXT_INSTR_7,,,LifeCycle,outcome,ext_instr_,complete,final,,instr=47;,,7,7 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mepa_lod_t,complete,final,,BDD_phtalates_phenols$m_mepa_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.04,,2,2 +PELAGIE,pelagie_q2,"B150,B151","pelagie_q6,pelagie_q6","QS6_C31_CONFIRME,QS6_C31_AGE_AMM",LifeCycle,outcome,eczema_,complete,final,From data collected at 2yp and completed by data collected at 6yo,"if b150=0 then do; b151=0;b152=0; end; +eczema_0_q2=b151; + +if qs6_c31_confirme=0 then do; eczema_0_q6=0;eczema_1_q6=0;eczema_2=0;eczema_3=0;eczema_4=0;eczema_5=0; end; +if qs6_c31_confirme=1 and qs6_c31_age_amm ne . then do; + if qs6_c31_age_amm<100 then eczema_0_q6=1; + else if qs6_c31_age_amm<200 then do; eczema_0_q6=0; eczema_1_q6=1; end; + else if qs6_c31_age_amm<300 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=1;end; + else if qs6_c31_age_amm<400 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=1;end; + else if qs6_c31_age_amm<500 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=1;end; + else if qs6_c31_age_amm<600 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=1;end; + else if qs6_c31_age_amm<700 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=0; eczema_6=1;end; +end; + +if eczema_0_q2=. then eczema_0=eczema_0_q6; +else eczema_0=eczema_0_q2;",From data collected at 2yp and completed by data collected at 6yo,0,0 +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle,outcome,int_age_,complete,final,,int_age_14=(DATE-ddn_2021)/365.2422;,,14,14 +PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_2,SRA_Q11_4_A,AGE_Q12",,,LifeCycle,outcome,rash_,complete,final,,"if (SRA_Q11_1=1 and (SRA_Q11_4_A>=11 and SRA_Q11_4_A<12)) or (SRA_Q11_2=1 and (age_q12>=11 + and age_q12<12)) then rash_11=1; +else if SRA_Q11_1=0 and age_q12>=11 then rash_11=0; +else rash_11=.;",,11,11 +PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_2,SRA_Q11_4_A,AGE_Q12",,,LifeCycle,outcome,rash_,complete,final,,"if (SRA_Q11_1=1 and (SRA_Q11_4_A>=13 and SRA_Q11_4_A<14)) or (SRA_Q11_2=1 and (age_q12>=13 + and age_q12<14)) then rash_13=1; +else if SRA_Q11_1=0 and age_q12>=13 then rash_13=0; +else rash_13=.;",,13,13 +PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A,SRA_Q11_2,AGE_Q12",,,LifeCycle,outcome,eczema_,complete,final,,"if eczema_temp_ever=1 and ((SRA_Q11_4_A>=14 and SRA_Q11_4_A<15) or (SRA_Q11_6_A>=14 and + SRA_Q11_6_A<15) or (SRA_Q12_A>=14 and SRA_Q12_A<15)) then eczema_14=1; +else if eczema_temp_ever=0 and age_q12>=14 then eczema_14=0; +else eczema_14=.;",,14,14 +PELAGIE,pelagie_q2,"B150,B152","pelagie_q6,pelagie_q6","QS6_C31_CONFIRME,QS6_C31_AGE_AMM",LifeCycle,outcome,eczema_,complete,final,From data collected at 2yp and completed by data collected at 6yo,"if b150=0 then do; b151=0;b152=0; end; +eczema_1_q2=b152; + +if qs6_c31_confirme=0 then do; eczema_0_q6=0;eczema_1_q6=0;eczema_2=0;eczema_3=0;eczema_4=0;eczema_5=0; end; +if qs6_c31_confirme=1 and qs6_c31_age_amm ne . then do; + if qs6_c31_age_amm<100 then eczema_0_q6=1; + else if qs6_c31_age_amm<200 then do; eczema_0_q6=0; eczema_1_q6=1; end; + else if qs6_c31_age_amm<300 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=1;end; + else if qs6_c31_age_amm<400 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=1;end; + else if qs6_c31_age_amm<500 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=1;end; + else if qs6_c31_age_amm<600 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=1;end; + else if qs6_c31_age_amm<700 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=0; eczema_6=1;end; +end; + +if eczema_1_q2=. then eczema_1=eczema_1_q6; +else eczema_1=eczema_1_q2;",From data collected at 2yp and completed by data collected at 6yo,1,1 +PELAGIE,pelagie_q6,"QS6_C31,QS6_C31_CONFIRME,QS6_C31_AGE_AMM",,,LifeCycle,outcome,eczema_,complete,final,,"if qs6_c31_confirme=0 then do; eczema_0_q6=0;eczema_1_q6=0;eczema_2=0;eczema_3=0;eczema_4=0;eczema_5=0; end; +if qs6_c31_confirme=1 and qs6_c31_age_amm ne . then do; + if qs6_c31_age_amm<100 then eczema_0_q6=1; + else if qs6_c31_age_amm<200 then do; eczema_0_q6=0; eczema_1_q6=1; end; + else if qs6_c31_age_amm<300 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=1;end; + else if qs6_c31_age_amm<400 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=1;end; + else if qs6_c31_age_amm<500 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=1;end; + else if qs6_c31_age_amm<600 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=1;end; + else if qs6_c31_age_amm<700 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=0; eczema_6=1;end; +end; + +if qs6_c31_confirme=1 then eczema_ever_q6=1; +else if qs6_c31_confirme=0 then eczema_ever_q6=0;",,5,"2, 3, 4, 5, 6" +PELAGIE,harmonized,"ECZEMA_0,ECZEMA_1","pelagie_q6,pelagie_q12","QS6_C31_CONFIRME,SRA_Q12_1",LifeCycle,outcome,eczema_ever,complete,final,Updated with data from 12-year-old follow-up,"if eczema_0_q2=1 or eczema_1_q2=1 then eczema_ever_q2=1; +else if eczema_0_q2=0 and eczema_1_q2=0 then eczema_ever_q2=0; + +eczema_ever_q6=qs6_c31_confirme; + +if eczema_ever_q2=1 or eczema_ever_q6=1 then eczema_ever=1; +else if eczema_ever_q2=0 and eczema_ever_q6=0 then eczema_ever=0; +else if eczema_ever_q2=. and eczema_ever_q6=1 then eczema_ever=1; +else if eczema_ever_q2=. and eczema_ever_q6=0 then eczema_ever=0; + +UPDATE 12-year-old follow-up: +eczema_ever_bis=eczema_ever; +if SRA_Q12_1=1 or eczema_ever_bis=1 then eczema_ever=1; +else if SRA_Q12_1=0 and (eczema_ever_bis=0 or eczema_ever_bis=.) then eczema_ever=0; +else eczema_ever=.; +drop eczema_ever_bis;",Updated with data from 12-year-old follow-up,, +PELAGIE,pelagie_q6,QS6_C16,,,ATHLETE,outcome_ath,rhinitis_sx_ever_,complete,final,,"if (6 le age_enfant_quest lt 7) then do; +rhinitis_sx_ever_6=QS6_C16; +end;",,6,6 +PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_4_A",,,LifeCycle,outcome,rash_,partial,final,Information only about age of first rash apparition. No information regarding other specific episodes at this age.,"if SRA_Q11_1=1 and (SRA_Q11_4_A>=9 and SRA_Q11_4_A<10) then rash_9=1; +else if SRA_Q11_1=0 and age_q12>=9 then rash_9=0; +else rash_9=.;",Information only about age of first rash apparition. No information regarding other specific episodes at this age.,9,9 +PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A",,,LifeCycle,outcome,eczema_,partial,final,"Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age. Updated with data from 12-year-old follow-up","UPDATE 12-year-old follow-up: +eczema_7bis=eczema_7; +if eczema_7bis=1 or (eczema_temp_ever=1 and ((SRA_Q11_4_A>=7 and SRA_Q11_4_A<8) or (SRA_Q11_6_A>=7 and + SRA_Q11_6_A<8) or (SRA_Q12_A>=7 and SRA_Q12_A<8))) then eczema_7=1; +else if eczema_7bis=0 or (eczema_temp_ever=0 and age_q12>=7) then eczema_7=0; +else eczema_7=.; +drop eczema_7bis;","Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age. Updated with data from 12-year-old follow-up",7,7 +PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A",,,LifeCycle,outcome,eczema_,partial,final,"Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age.","eczema_8bis=eczema_8; +if eczema_8bis=1 or (eczema_temp_ever=1 and ((SRA_Q11_4_A>=8 and SRA_Q11_4_A<9) or (SRA_Q11_6_A>=8 and + SRA_Q11_6_A<9) or (SRA_Q12_A>=8 and SRA_Q12_A<9))) then eczema_8=1; +else if eczema_8bis=0 or (eczema_temp_ever=0 and age_q12>=8) then eczema_8=0; +else eczema_8=.; +drop eczema_8bis;","Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age.",8,8 +PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_4_A",,,LifeCycle,outcome,rash_,partial,final,Information only about age of first rash apparition. No information regarding other specific episodes at this age.,"if SRA_Q11_1=1 and (SRA_Q11_4_A>=10 and SRA_Q11_4_A<11) then rash_10=1; +else if SRA_Q11_1=0 and age_q12>=10 then rash_10=0; +else rash_10=.;",Information only about age of first rash apparition. No information regarding other specific episodes at this age.,10,10 +PELAGIE,pelagie_q2,"B144,B145",,,LifeCycle,outcome,rash_,complete,final,,"if b144=0 then do; b145=0; b146=0; b147=0; end; +rash_0=b145;",,0,0 +PELAGIE,pelagie_q2,"B144,B146",,,LifeCycle,outcome,rash_,complete,final,,"if b144=0 then do; b145=0; b146=0; b147=0; end; +rash_1=b146;",,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_oxbe_lod_t,complete,final,,BDD_phtalates_phenols$m_oxbe_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.04,,2,2 +PELAGIE,pelagie_q6,"QS6_C25,QS6_C26,AGE_ENFANT_QUEST","pelagie_q12,pelagie_q12","SRA_Q11_1,SRA_Q11_4_A",LifeCycle,outcome,rash_,complete,final,Updated with data from 12-year-old follow-up,"if (7 le age_enfant_quest lt 8) then do; +if QS6_C25=0 then rash_7=0; +else if QS6_C26=0 then rash_7=0; +else if QS6_C26=1 then rash_7=1; +end; + +UPDATE: +rash_7bis=rash_7; +if rash_7bis=1 or (SRA_Q11_1=1 and (SRA_Q11_4_A>=7 and SRA_Q11_4_A<8)) then rash_7=1; +else if rash_7bis=0 or (SRA_Q11_1=0 and age_q12>=7) then rash_7=0; +else rash_7=.; +drop rash_7bis;",Updated with data from 12-year-old follow-up,7,7 +PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_4_A",,,LifeCycle,outcome,rash_,partial,final,Information only about age of first rash apparition. No information regarding other specific episodes at this age.,"rash_8bis=rash_8; +if rash_8bis=1 or (SRA_Q11_1=1 and (SRA_Q11_4_A>=8 and SRA_Q11_4_A<9)) then rash_8=1; +else if rash_8bis=0 or (SRA_Q11_1=0 and age_q12>=8) then rash_8=0; +else rash_8=.; +drop rash_8bis;",Information only about age of first rash apparition. No information regarding other specific episodes at this age.,8,8 +PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A",,,LifeCycle,outcome,eczema_,partial,final,"Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age.","eczema_9bis=eczema_9; +if eczema_9bis=1 or (eczema_temp_ever=1 and ((SRA_Q11_4_A>=9 and SRA_Q11_4_A<10) or (SRA_Q11_6_A>=9 and + SRA_Q11_6_A<10) or (SRA_Q12_A>=9 and SRA_Q12_A<10))) then eczema_9=1; +else if eczema_9bis=0 or (eczema_temp_ever=0 and age_q12>=9) then eczema_9=0; +else eczema_9=.; +drop eczema_9bis;","Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age.",9,9 +PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A",,,LifeCycle,outcome,eczema_,partial,final,"Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age.","if eczema_temp_ever=1 and ((SRA_Q11_4_A>=10 and SRA_Q11_4_A<11) or (SRA_Q11_6_A>=10 and + SRA_Q11_6_A<11) or (SRA_Q12_A>=10 and SRA_Q12_A<11)) then eczema_10=1; +else if eczema_temp_ever=0 and age_q12>=10 then eczema_10=0; +else eczema_10=.;","Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age.",10,10 +PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A,SRA_Q11_2,AGE_Q12",,,LifeCycle,outcome,eczema_,complete,final,,"if eczema_temp_ever=1 and ((SRA_Q11_4_A>=11 and SRA_Q11_4_A<12) or (SRA_Q11_6_A>=11 and + SRA_Q11_6_A<12) or (SRA_Q12_A>=11 and SRA_Q12_A<12)) then eczema_11=1; +else if eczema_temp_ever=0 and age_q12>=11 then eczema_11=0; +else eczema_11=.;",,11,11 +PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A,SRA_Q11_2,AGE_Q12",,,LifeCycle,outcome,eczema_,complete,final,,"if eczema_temp_ever=1 and ((SRA_Q11_4_A>=12 and SRA_Q11_4_A<13) or (SRA_Q11_6_A>=12 and + SRA_Q11_6_A<13) or (SRA_Q12_A>=12 and SRA_Q12_A<13)) then eczema_12=1; +else if eczema_temp_ever=0 and age_q12>=12 then eczema_12=0; +else eczema_12=.;",,12,12 +PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A,SRA_Q11_2,AGE_Q12",,,LifeCycle,outcome,eczema_,complete,final,,"if eczema_temp_ever=1 and ((SRA_Q11_4_A>=13 and SRA_Q11_4_A<14) or (SRA_Q11_6_A>=13 and + SRA_Q11_6_A<14) or (SRA_Q12_A>=13 and SRA_Q12_A<14)) then eczema_13=1; +else if eczema_temp_ever=0 and age_q12>=13 then eczema_13=0; +else eczema_13=.;",,13,13 +PELAGIE,pelagie_q6,"QS6_C25,QS6_C26,AGE_ENFANT_QUEST",,,LifeCycle,outcome,rash_,complete,final,,"if (5 le age_enfant_quest lt 6) then do; +if QS6_C25=0 then rash_5=0; +else if QS6_C26=0 then rash_5=0; +else if QS6_C26=1 then rash_5=1; +end;",,5,5 +PELAGIE,harmonized,EXT_INSTR_8,,,LifeCycle,outcome,ext_instr_,complete,final,,instr=47;,,8,8 +PELAGIE,BDD_phtalates_phenols,"MEPA,SGURINEF",,,ATHLETE,chemicals_ath,m_mepa_raw_t,complete,final,,BDD_phtalates_phenols$m_mepa_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MEPA,,2,2 +PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_2,SRA_Q11_4_A,AGE_Q12",,,LifeCycle,outcome,rash_,complete,final,,"if (SRA_Q11_1=1 and (SRA_Q11_4_A>=14 and SRA_Q11_4_A<15)) or (SRA_Q11_2=1 and (age_q12>=14 + and age_q12<15)) then rash_14=1; +else if SRA_Q11_1=0 and age_q12>=14 then rash_14=0; +else rash_14=.;",,14,14 +PELAGIE,pelagie_q2,B147,,,LifeCycle,outcome,rash_loc_,complete,final,,"if b147=0 then do; rash_loc_0=0; rash_loc_1=0; end; +if b147=1 and rash_0=1 then rash_loc_0=1;",,0,0 +PELAGIE,pelagie_q2,B147,,,LifeCycle,outcome,rash_loc_,complete,final,,"if b147=0 then do; rash_loc_0=0; rash_loc_1=0; end; +if b147=1 and rash_1=1 then rash_loc_1=1;",,1,1 +PELAGIE,pelagie_q6,QS6_C27,,,LifeCycle,outcome,rash_loc_,complete,final,,"if (5 le age_enfant_quest lt 6) then do; +if QS6_C27=1 then rash_loc_5=1; +else if QS6_C25=0 or QS6_C26=0 or QS6_C27=0 then rash_loc_5=0; +end;",,5,5 +PELAGIE,pelagie_q6,QS6_C27,,,LifeCycle,outcome,rash_loc_,complete,final,,"if (6 le age_enfant_quest lt 7) then do; +if QS6_C27=1 then rash_loc_6=1; +else if QS6_C25=0 or QS6_C26=0 or QS6_C27=0 then rash_loc_6=0; +end;",,6,6 +PELAGIE,harmonized,EXT_INSTR_11,,,LifeCycle,outcome,ext_instr_,complete,final,,instr=47;,,11,11 +PELAGIE,BDD_phtalates_phenols,"ETPA,SGURINEF",,,ATHLETE,chemicals_ath,m_etpa_raw_t,complete,final,,BDD_phtalates_phenols$m_etpa_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$ETPA,,1,1 +PELAGIE,pelagie_q6,QS6_C27,"pelagie_q12,pelagie_q12","SRA_Q11_3,SRA_Q11_4_A",LifeCycle,outcome,rash_loc_,complete,final,Updated with data from 12-year-old follow-up,"if (7 le age_enfant_quest lt 8) then do; +if QS6_C27=1 then rash_loc_7=1; +else if QS6_C25=0 or QS6_C26=0 or QS6_C27=0 then rash_loc_7=0; +end; + +UPDATE 12-year-old follow-up: +rash_loc_7bis=rash_loc_7; +if rash_loc_7bis=1 or (SRA_Q11_3=1 and (SRA_Q11_4_A>=7 and SRA_Q11_4_A<8)) then rash_loc_7=1; +else if rash_loc_7bis=0 or (rash_7=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=7)) then rash_loc_7=0; +else rash_loc_7=.; +drop rash_loc_7bis;",Updated with data from 12-year-old follow-up,7,7 +PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_4_A",,,LifeCycle,outcome,rash_loc_,partial,final,"Only information about the age at rash onset, no information about other episodes at this specific age.","rash_loc_8bis=rash_loc_8; +if rash_loc_8bis=1 or (SRA_Q11_3=1 and (SRA_Q11_4_A>=8 and SRA_Q11_4_A<9)) then rash_loc_8=1; +else if rash_loc_8bis=0 or (rash_8=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=8)) then rash_loc_8=0; +else rash_loc_8=.; +drop rash_loc_8bis;","Only information about the age at rash onset, no information about other episodes at this specific age.",8,8 +PELAGIE,harmonized,INT_EVAL_5,,,LifeCycle,outcome,int_eval_,complete,final,,eval=2;,,5,5 +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,ATHLETE,outcome_ath,aggr_age_,complete,final,,aggr_age_13=(DATE-ddn_2021)/365.2422;,,13,13 +PELAGIE,BDD_phtalates_phenols,"BP_S,SGURINEF",,,ATHLETE,chemicals_ath,m_bps_raw_t,complete,final,,BDD_phtalates_phenols$m_bps_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$BP_S,,1,1 +PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_4_A",,,LifeCycle,outcome,rash_loc_,partial,final,"Only information about the age at rash onset, no information about other episodes at this specific age.","if SRA_Q11_3=1 and (SRA_Q11_4_A>=9 and SRA_Q11_4_A<10) then rash_loc_9=1; +else if rash_9=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=9) then rash_loc_9=0; +else rash_loc_9=.;","Only information about the age at rash onset, no information about other episodes at this specific age.",9,9 +PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_4_A",,,LifeCycle,outcome,rash_loc_,partial,final,"Only information about the age at rash onset, no information about other episodes at this specific age.","if SRA_Q11_3=1 and (SRA_Q11_4_A>=10 and SRA_Q11_4_A<11) then rash_loc_10=1; +else if rash_10=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=10) then rash_loc_10=0; +else rash_loc_10=.;","Only information about the age at rash onset, no information about other episodes at this specific age.",10,10 +PELAGIE,pelagie_q6,QS6_C17,,,ATHLETE,outcome_ath,rhinitis_sx_12m_,complete,final,,"if (6 le age_enfant_quest lt 7) then do; +rhinitis_sx_12m_6=QS6_C17; +end;",,6,6 +PELAGIE,harmonized,ARMCIRCMES_0,,,LifeCycle,outcome,armcircmes_,complete,final,,armcircmes_151=0;,,151,151 +PELAGIE,BDD_phtalates_phenols,"ETPA,SGURINEF",,,ATHLETE,chemicals_ath,m_etpa_raw_t,complete,final,,BDD_phtalates_phenols$m_etpa_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$ETPA,,2,2 +PELAGIE,pelagie_q6,QS6_C16,"pelagie_q12,pelagie_q12","SRA_Q8_1,SRA_Q8_4_2_A",ATHLETE,outcome_ath,rhinitis_sx_ever_,complete,final,,"if (7 le age_enfant_quest lt 8) then do; +rhinitis_sx_ever_7=QS6_C16; +end; + +UPDATE 12-year-old follow-up: +rhinitis_sx_ever_7bis=rhinitis_sx_ever_7; +rhinitis_sx_ever_7=.; +if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=7 and SRA_Q8_4_2_A<8) or rhinitis_sx_ever_7bis=1 then rhinitis_sx_ever_7=1; +else if (SRA_Q8_1=0 and age_q12>=7) or rhinitis_sx_ever_7bis=0 then rhinitis_sx_ever_7=0; +else rhinitis_sx_ever_7=.; +drop rhinitis_sx_ever_7bis;",Updated with data from 12-year-old follow-up,7,7 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A",,,ATHLETE,outcome_ath,rhinitis_sx_ever_,partial,final,,"if SRA_Q8_1=1 and SRA_Q8_4_2_A>=8 and SRA_Q8_4_2_A<9 then rhinitis_sx_ever_8=1; +else if SRA_Q8_1=0 and age_q12>=8 then rhinitis_sx_ever_8=0; +else rhinitis_sx_ever_8=.;",Partially harmonized because is based only on the age of first episode of rhinitis symptoms. No information about other episodes at that age.,8,8 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A",,,ATHLETE,outcome_ath,rhinitis_sx_ever_,partial,final,,"if SRA_Q8_1=1 and SRA_Q8_4_2_A>=9 and SRA_Q8_4_2_A<10 then rhinitis_sx_ever_9=1; +else if SRA_Q8_1=0 and age_q12>=9 then rhinitis_sx_ever_9=0; +else rhinitis_sx_ever_9=.;",Partially harmonized because is based only on the age of first episode of rhinitis symptoms. No information about other episodes at that age.,9,9 +PELAGIE,harmonized,AGGR_PRO_5,,,ATHLETE,outcome_ath,aggr_pc_,complete,final,,"SDQ6$aggr_pc_5<-xtile(SDQ6$aggr_pro_5, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,5,5 +PELAGIE,pepsy,WISCC,,,LifeCycle,outcome,nvi_avg_,partial,final,Only 1 task : Cubes to assess Perceptive Reasoning,"array NV{1} WISCc; NVi=N(of NV{*}); NVp=NVi/1; if NVp>=0.75 then do; +NV12_raw=sum(of NV{*}); +NV12_mean=NV12_raw/NVi; +NV12_pro=round(NV12_mean*1,1); +end;",Only 1 task : Cubes to assess Perceptive Reasoning,6,"5, 6" +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A",,,ATHLETE,outcome_ath,rhinitis_sx_ever_,partial,final,,"if SRA_Q8_1=1 and SRA_Q8_4_2_A>=10 and SRA_Q8_4_2_A<11 then rhinitis_sx_ever_10=1; +else if SRA_Q8_1=0 and age_q12>=10 then rhinitis_sx_ever_10=0; +else rhinitis_sx_ever_10=.;",Partially harmonized because is based only on the age of first episode of rhinitis symptoms. No information about other episodes at that age.,10,10 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A,SRA_Q8_2,AGE_Q12",,,ATHLETE,outcome_ath,rhinitis_sx_ever_,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=11 and SRA_Q8_4_2_A<12) or (SRA_Q8_2=1 and age_q12>=11 and age_q12<12) then rhinitis_sx_ever_11=1; +else if (age_q12>=11 and age_q12<12 and SRA_Q8_2=0) or (SRA_Q8_1=0 and age_q12>=11) then rhinitis_sx_ever_11=0; +else rhinitis_sx_ever_11=.;",,11,11 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A,SRA_Q8_2,AGE_Q12",,,ATHLETE,outcome_ath,rhinitis_sx_ever_,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=12 and SRA_Q8_4_2_A<13) or (SRA_Q8_2=1 and age_q12>=12 and age_q12<13) then rhinitis_sx_ever_12=1; +else if (age_q12>=12 and age_q12<13 and SRA_Q8_2=0) or (SRA_Q8_1=0 and age_q12>=12) then rhinitis_sx_ever_12=0; +else rhinitis_sx_ever_12=.;",,12,12 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A,SRA_Q8_2,AGE_Q12",,,ATHLETE,outcome_ath,rhinitis_sx_ever_,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=13 and SRA_Q8_4_2_A<14) or (SRA_Q8_2=1 and age_q12>=13 and age_q12<14) then rhinitis_sx_ever_13=1; +else if (age_q12>=13 and age_q12<14 and SRA_Q8_2=0) or (SRA_Q8_1=0 and age_q12>=13) then rhinitis_sx_ever_13=0; +else rhinitis_sx_ever_13=.;",,13,13 +PELAGIE,BDD_phtalates_phenols,"MIBP,SGURINEF",,,ATHLETE,chemicals_ath,m_mibp_raw_t,complete,final,,BDD_phtalates_phenols$m_mibp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MiBP,,2,2 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A,SRA_Q8_2,AGE_Q12",,,ATHLETE,outcome_ath,rhinitis_sx_ever_,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=14 and SRA_Q8_4_2_A<15) or (SRA_Q8_2=1 and age_q12>=14 and age_q12<15) then rhinitis_sx_ever_14=1; +else if (age_q12>=14 and age_q12<15 and SRA_Q8_2=0) or (SRA_Q8_1=0 and age_q12>=14) then rhinitis_sx_ever_14=0; +else rhinitis_sx_ever_14=.;",,14,14 +PELAGIE,pelagie_q6,QS6_C17,,,ATHLETE,outcome_ath,rhinitis_sx_12m_,complete,final,,"if (5 le age_enfant_quest lt 6) then do; +rhinitis_sx_12m_5=QS6_C17; +end;",,5,5 +PELAGIE,BDD_phtalates_phenols,"OHMINCH,SGURINEF",,,ATHLETE,chemicals_ath,m_ohminch_raw_t,complete,final,,BDD_phtalates_phenols$m_ohminch_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$ohMINCH,,1,1 +PELAGIE,pelagie_q6,QS6_C17,"pelagie_q12,pelagie_q12","SRA_Q8_1,SRA_Q8_4_2_A",ATHLETE,outcome_ath,rhinitis_sx_12m_,complete,final,,"if (7 le age_enfant_quest lt 8) then do; +rhinitis_sx_12m_7=QS6_C17; +end; + +UPDATE 12-year-old follow-up: +rhinitis_sx_12m_7bis=rhinitis_sx_12m_7; +if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=7 and SRA_Q8_4_2_A<8) or rhinitis_sx_12m_7bis=1 then rhinitis_sx_12m_7=1; +else if (SRA_Q8_1=0 and age_q12>=7) or rhinitis_sx_12m_7bis=0 then rhinitis_sx_12m_7=0; +else rhinitis_sx_12m_7=.; +drop rhinitis_sx_12m_7bis;",Updated with data from 12-year-old follow-up,7,7 +PELAGIE,harmonized,AGGR_PRO_6,,,ATHLETE,outcome_ath,aggr_pc_,complete,final,,"SDQ6$aggr_pc_6<-xtile(SDQ6$aggr_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,6,6 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_etpa_lod_t,complete,final,,BDD_phtalates_phenols$m_etpa_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.04,,1,1 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A",,,ATHLETE,outcome_ath,rhinitis_sx_12m_,partial,final,,"if SRA_Q8_1=1 and SRA_Q8_4_2_A>=8 and SRA_Q8_4_2_A<9 then rhinitis_sx_12m_8=1; +else if SRA_Q8_1=0 and age_q12>=8 then rhinitis_sx_12m_8=0; +else rhinitis_sx_12m_8=.;",Partially harmonized because is based only on the age of first episode of symptoms. No information about other episodes at that age.,8,8 +PELAGIE,pelagie_q6,QS6_C23,,,ATHLETE,outcome_ath,rhinitis_,complete,final,,"if (6 le age_enfant_quest lt 7) then do; +rhinitis_6=QS6_C23; +end;",,6,6 +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle,outcome,int_age_,complete,final,,int_age_12=(DATE-ddn_2021)/365.2422;,,12,12 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A",,,ATHLETE,outcome_ath,rhinitis_sx_12m_,partial,final,,"if SRA_Q8_1=1 and SRA_Q8_4_2_A>=9 and SRA_Q8_4_2_A<10 then rhinitis_sx_12m_9=1; +else if SRA_Q8_1=0 and age_q12>=9 then rhinitis_sx_12m_9=0; +else rhinitis_sx_12m_9=.;",Partially harmonized because is based only on the age of first episode of symptoms. No information about other episodes at that age.,9,9 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A",,,ATHLETE,outcome_ath,rhinitis_sx_12m_,partial,final,,"if SRA_Q8_1=1 and SRA_Q8_4_2_A>=10 and SRA_Q8_4_2_A<11 then rhinitis_sx_12m_10=1; +else if SRA_Q8_1=0 and age_q12>=10 then rhinitis_sx_12m_10=0; +else rhinitis_sx_12m_10=.;",Partially harmonized because is based only on the age of first episode of symptoms. No information about other episodes at that age.,10,10 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_2,SRA_Q8_4_2_A,AGE_Q12",,,ATHLETE,outcome_ath,rhinitis_sx_12m_,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=11 and SRA_Q8_4_2_A<12) or (SRA_Q8_2=1 and age_q12>=11 and age_q12<12) then rhinitis_sx_12m_11=1; +else if (SRA_Q8_1=0 and age_q12>=11) or (SRA_Q8_2=0 and age_q12>=11 and age_q12<12) then rhinitis_sx_12m_11=0; +else rhinitis_sx_12m_11=.;",,11,11 +PELAGIE,BDD_phtalates_phenols,"OHMINP,SGURINEF",,,ATHLETE,chemicals_ath,m_ohminp_raw_t,complete,final,,BDD_phtalates_phenols$m_ohminp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$ohMiNP,,1,1 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_2,SRA_Q8_4_2_A,AGE_Q12",,,ATHLETE,outcome_ath,rhinitis_sx_12m_,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=12 and SRA_Q8_4_2_A<13) or (SRA_Q8_2=1 and age_q12>=12 and age_q12<13) then rhinitis_sx_12m_12=1; +else if (SRA_Q8_1=0 and age_q12>=12) or (SRA_Q8_2=0 and age_q12>=12 and age_q12<13) then rhinitis_sx_12m_12=0; +else rhinitis_sx_12m_12=.;",,12,12 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_2,SRA_Q8_4_2_A,AGE_Q12",,,ATHLETE,outcome_ath,rhinitis_sx_12m_,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=13 and SRA_Q8_4_2_A<14) or (SRA_Q8_2=1 and age_q12>=13 and age_q12<14) then rhinitis_sx_12m_13=1; +else if (SRA_Q8_1=0 and age_q12>=13) or (SRA_Q8_2=0 and age_q12>=13 and age_q12<14) then rhinitis_sx_12m_13=0; +else rhinitis_sx_12m_13=.;",,13,13 +PELAGIE,harmonized,ASD_EVAL_11,,,LifeCycle,outcome,asd_eval_,complete,final,,asd_eval_11=2;,,11,11 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_etpa_lod_t,complete,final,,BDD_phtalates_phenols$m_etpa_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.04,,2,2 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_2,SRA_Q8_4_2_A,AGE_Q12",,,ATHLETE,outcome_ath,rhinitis_sx_12m_,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=14 and SRA_Q8_4_2_A<15) or (SRA_Q8_2=1 and age_q12>=14 and age_q12<15) then rhinitis_sx_12m_14=1; +else if (SRA_Q8_1=0 and age_q12>=14) or (SRA_Q8_2=0 and age_q12>=14 and age_q12<15) then rhinitis_sx_12m_14=0; +else rhinitis_sx_12m_14=.;",,14,14 +PELAGIE,pelagie_q6,QS6_C23,,,ATHLETE,outcome_ath,rhinitis_,complete,final,,"if (5 le age_enfant_quest lt 6) then do; +rhinitis_5=QS6_C23; +end;",,5,5 +PELAGIE,pelagie_q6,QS6_C23,"pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12","SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A",ATHLETE,outcome_ath,rhinitis_,complete,final,,"if (7 le age_enfant_quest lt 8) then do; +rhinitis_7=QS6_C23; +end; + +UPDATE 12-year-old follow-up: +rhinitis_7bis=rhinitis_7; +if (rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=7 and SRA_Q8_4_2_A<8) or (SRA_Q9_2_A>=7 and SRA_Q9_2_A<8) + or (SRA_Q10_1_A>=7 and SRA_Q10_1_A<8)) or rhinitis_7bis=1 then rhinitis_7=1; +else if (rhinitis_temp_ever=0 and age_q12>=7) or rhinitis_7bis=0 then rhinitis_7=0; +else rhinitis_7=.; +drop rhinitis_7bis;",Updated with data from 12-year-old follow-up,7,7 +PELAGIE,pepsy,"WISCMC,WISCSLC",,,LifeCycle,outcome,wm_raw_,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,"array WM{2} WISCMC WISCSLC; WMi=N(of WM{*}); WMp=WMi/2; +if WMp>=0.75 then do; +WM12_raw=sum(of WM{*}); +WM12_mean=WM12_raw/WMi; +WM12_pro=round(WM12_mean*2,1); +end;",Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,5,"5, 6" +PELAGIE,pepsy,"WISCMC,WISCSLC",,,LifeCycle,outcome,wm_pro_,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,"array WM{2} WISCMC WISCSLC; WMi=N(of WM{*}); WMp=WMi/2; +if WMp>=0.75 then do; +WM12_raw=sum(of WM{*}); +WM12_mean=WM12_raw/WMi; +WM12_pro=round(WM12_mean*2,1); +end;",Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,5,"5, 6" +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A",,,ATHLETE,outcome_ath,rhinitis_,partial,final,,"if rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=8 and SRA_Q8_4_2_A<9) or (SRA_Q9_2_A>=8 and SRA_Q9_2_A<9) or + (SRA_Q10_1_A>=8 and SRA_Q10_1_A<9) then rhinitis_8=1; +else if rhinitis_temp_ever=0 and age_q12>=8 then rhinitis_8=0; +else rhinitis_8=.;",Partially harmonized because is based only on the age at rhinitis diagnosis and the age when rhinitis first appeared. No information about specific rhinitis episodes at that age.,8,8 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A",,,ATHLETE,outcome_ath,rhinitis_,partial,final,,"if rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=9 and SRA_Q8_4_2_A<10) or (SRA_Q9_2_A>=9 and SRA_Q9_2_A<10) + or (SRA_Q10_1_A>=9 and SRA_Q10_1_A<10) then rhinitis_9=1; +else if rhinitis_temp_ever=0 and age_q12>=9 then rhinitis_9=0; +else rhinitis_9=.;",Partially harmonized because is based only on the age at rhinitis diagnosis and the age when rhinitis first appeared. No information about specific rhinitis episodes at that age.,9,9 +PELAGIE,harmonized,AGGR_EVAL_3,,,ATHLETE,outcome_ath,aggr_eval_,complete,final,,eval=2;,,3,3 +PELAGIE,harmonized,INT_PRO_12,,,LifeCycle,outcome,int_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ12$int_pc_12<-xtile(SDQ12$int_pro_12, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,12,12 +PELAGIE,BDD_phtalates_phenols,"PRPA,SGURINEF",,,ATHLETE,chemicals_ath,m_prpa_raw_t,complete,final,,BDD_phtalates_phenols$m_prpa_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$PRPA,,1,1 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A",,,ATHLETE,outcome_ath,rhinitis_,partial,final,,"if rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=10 and SRA_Q8_4_2_A<11) or (SRA_Q9_2_A>=10 and SRA_Q9_2_A<11) + or (SRA_Q10_1_A>=10 and SRA_Q10_1_A<11) then rhinitis_10=1; +else if rhinitis_temp_ever=0 and age_q12>=10 then rhinitis_10=0; +else rhinitis_10=.;",Partially harmonized because is based only on the age at rhinitis diagnosis and the age when rhinitis first appeared. No information about specific rhinitis episodes at that age.,10,10 +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle,outcome,int_age_,complete,final,,int_age_13=(DATE-ddn_2021)/365.2422;,,13,13 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_2,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A,AGE_Q12",,,ATHLETE,outcome_ath,rhinitis_,complete,final,,"if (rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=11 and SRA_Q8_4_2_A<12) or (SRA_Q9_2_A>=11 and SRA_Q9_2_A<12) + or (SRA_Q10_1_A>=11 and SRA_Q10_1_A<12)) or (SRA_Q8_2=1 and age_q12>=11 and age_q12<12) then rhinitis_11=1; +else if (rhinitis_temp_ever=0 and age_q12>=11) or (SRA_Q8_2=0 and age_q12>=11 and age_q12<12) then rhinitis_11=0; +else rhinitis_11=.;",,11,11 +PELAGIE,harmonized,LAN_EVAL_5,,,LifeCycle,outcome,lan_eval_,complete,final,,lan_eval_5=3;,,5,5 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_2,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A,AGE_Q12",,,ATHLETE,outcome_ath,rhinitis_,complete,final,,"if (rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=12 and SRA_Q8_4_2_A<13) or (SRA_Q9_2_A>=12 and SRA_Q9_2_A<13) + or (SRA_Q10_1_A>=12 and SRA_Q10_1_A<13)) or (SRA_Q8_2=1 and age_q12>=12 and age_q12<13) then rhinitis_12=1; +else if (rhinitis_temp_ever=0 and age_q12>=12) or (SRA_Q8_2=0 and age_q12>=12 and age_q12<13) then rhinitis_12=0; +else rhinitis_12=.;",,12,12 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_2,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A,AGE_Q12",,,ATHLETE,outcome_ath,rhinitis_,complete,final,,"if (rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=13 and SRA_Q8_4_2_A<14) or (SRA_Q9_2_A>=13 and SRA_Q9_2_A<14) + or (SRA_Q10_1_A>=13 and SRA_Q10_1_A<14)) or (SRA_Q8_2=1 and age_q12>=13 and age_q12<14) then rhinitis_13=1; +else if (rhinitis_temp_ever=0 and age_q12>=13) or (SRA_Q8_2=0 and age_q12>=13 and age_q12<14) then rhinitis_13=0; +else rhinitis_13=.;",,13,13 +PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_2,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A,AGE_Q12",,,ATHLETE,outcome_ath,rhinitis_,complete,final,,"if (rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=14 and SRA_Q8_4_2_A<15) or (SRA_Q9_2_A>=14 and SRA_Q9_2_A<15) + or (SRA_Q10_1_A>=14 and SRA_Q10_1_A<15)) or (SRA_Q8_2=1 and age_q12>=14 and age_q12<15) then rhinitis_14=1; +else if (rhinitis_temp_ever=0 and age_q12>=14) or (SRA_Q8_2=0 and age_q12>=14 and age_q12<15) then rhinitis_14=0; +else rhinitis_14=.;",,14,14 +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle,outcome,ext_age_,complete,final,,ext_age_11=(DATE-ddn_2021)/365.2422;,,11,11 +PELAGIE,harmonized,LAN_INSTR_5,,,LifeCycle,outcome,lan_instr_,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index",lan_instr_5=59;,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index",5,5 +PELAGIE,BDD_phtalates_phenols,"PRPA,SGURINEF",,,ATHLETE,chemicals_ath,m_prpa_raw_t,complete,final,,BDD_phtalates_phenols$m_prpa_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$PRPA,,2,2 +PELAGIE,harmonized,INT_PRO_13,,,LifeCycle,outcome,int_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ12$int_pc_13<-xtile(SDQ12$int_pro_13, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,13,13 +PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle,outcome,int_age_,complete,final,,int_age_1=(b3-ddn_2021)/365.2422;,,1,1 +PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle,outcome,int_raw_,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{3} b307 b313 b315; +INTi=N(of INT{*}); INTp=INTi/3; +if INTp>=0.75 then do; +score_INT2_raw=sum(of INT{*}); +score_INT2_mean=score_INT2_raw/INTi; +score_INT2_pro=round(score_INT2_mean*3,1); +end; +else do; score_INT2_raw=.; score_INT2_mean=.; score_INT2_pro=.; +end; +array int_raw (3) int_raw_1-int_raw_3; +array int_pro (3) int_pro_1-int_pro_3; +array int_mean (3) int_avg_1-int_avg_3; + +do i=1 to 3; +if round_SDQ_age2=i then do; +int_raw(i)=score_INT2_raw; +int_pro(i)=score_INT2_pro; +int_mean(i)=score_INT2_mean; +end; +end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,1,"1, 2, 3" +PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle,outcome,int_raw_,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; +INTi=N(of INT{*}); INTp=INTi/10; +if INTp>=0.75 then do; +score_INT6_raw=sum(of INT{*}); +score_INT6_mean=score_INT6_raw/INTi; +score_INT6_pro=round(score_INT6_mean*10,1); +end; +else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; +end; +array int_raw (4) int_raw_5-int_raw_8; +array int_pro (4) int_pro_5-int_pro_8; +array int_mean (4) int_avg_5-int_avg_8; + +do i=1 to 4; +if round_SDQ_age6=4+i then do; +int_raw(i)=score_INT6_raw; +int_pro(i)=score_INT6_pro; +int_mean(i)=score_INT6_mean; +end; +end;",data collected at the 6-year-old follow-up and concerns food allergy since birth,5,"5, 6, 7" +PELAGIE,harmonized,INT_PRO_7,,,LifeCycle,outcome,int_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$int_pc_7<-xtile(SDQ6$int_pro_7, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,7,7 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,ldlcage_,complete,final,,ldlcage_153=age_exam_jour;,,153,153 +PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle,outcome,int_age_,complete,final,,int_age_2=(b3-ddn_2021)/365.2422;,,2,2 +PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle,outcome,int_raw_,complete,final,,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; +INTi=N(of INT{*}); INTp=INTi/10; +if INTp>=0.75 then do; +score_INT6_raw=sum(of INT{*}); +score_INT6_mean=score_INT6_raw/INTi; +score_INT6_pro=round(score_INT6_mean*10,1); +end; +else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; +end; +array int_raw (4) int_raw_5-int_raw_8; +array int_pro (4) int_pro_5-int_pro_8; +array int_mean (4) int_avg_5-int_avg_8; + +do i=1 to 4; +if round_SDQ_age6=4+i then do; +int_raw(i)=score_INT6_raw; +int_pro(i)=score_INT6_pro; +int_mean(i)=score_INT6_mean; +end; +end;",,8,8 +PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle,outcome,int_raw_,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; +INTi=N(of INT{*}); INTp=INTi/10; +if INTp>=0.75 then do; +score_INT12_raw=sum(of INT{*}); +score_INT12_mean=score_INT12_raw/INTi; +score_INT12_pro=round(score_INT12_mean*10,1); +end; +else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; +end; +array int_raw (4) int_raw_11-int_raw_14; +array int_pro (4) int_pro_11-int_pro_14; +array int_mean (4) int_avg_11-int_avg_14; +do i=1 to 4; +if round_SDQ_age12=10+i then do; +int_raw(i)=score_INT12_raw; +int_pro(i)=score_INT12_pro; +int_mean(i)=score_INT12_mean; +end; +end;",,11,"11, 12, 13, 14" +PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle,outcome,subscapsfmes_,complete,final,,subscapsfmes_146=0;,,146,146 +PELAGIE,harmonized,LDLCMES_146,,,LifeCycle,outcome,ldlcmes_,complete,final,,ldlcmes_146=0;,,146,146 +PELAGIE,harmonized,INT_EVAL_7,,,LifeCycle,outcome,int_eval_,complete,final,,eval=2;,,7,7 +PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle,outcome,int_pro_,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{3} b307 b313 b315; +INTi=N(of INT{*}); INTp=INTi/3; +if INTp>=0.75 then do; +score_INT2_raw=sum(of INT{*}); +score_INT2_mean=score_INT2_raw/INTi; +score_INT2_pro=round(score_INT2_mean*3,1); +end; +else do; score_INT2_raw=.; score_INT2_mean=.; score_INT2_pro=.; +end; +array int_raw (3) int_raw_1-int_raw_3; +array int_pro (3) int_pro_1-int_pro_3; +array int_mean (3) int_avg_1-int_avg_3; + +do i=1 to 3; +if round_SDQ_age2=i then do; +int_raw(i)=score_INT2_raw; +int_pro(i)=score_INT2_pro; +int_mean(i)=score_INT2_mean; +end; +end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,1,"1, 2" +PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle,outcome,subscapsfmes_,complete,final,,subscapsfmes_147=0;,,147,147 +PELAGIE,harmonized,LDLCMES_146,,,LifeCycle,outcome,ldlcmes_,complete,final,,ldlcmes_147=0;,,147,147 +PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle,outcome,int_pro_,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; +INTi=N(of INT{*}); INTp=INTi/10; +if INTp>=0.75 then do; +score_INT6_raw=sum(of INT{*}); +score_INT6_mean=score_INT6_raw/INTi; +score_INT6_pro=round(score_INT6_mean*10,1); +end; +else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; +end; +array int_raw (4) int_raw_5-int_raw_8; +array int_pro (4) int_pro_5-int_pro_8; +array int_mean (4) int_avg_5-int_avg_8; + +do i=1 to 4; +if round_SDQ_age6=4+i then do; +int_raw(i)=score_INT6_raw; +int_pro(i)=score_INT6_pro; +int_mean(i)=score_INT6_mean; +end; +end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,3,3 +PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle,outcome,int_age_,complete,final,,int_age_3=(b3-ddn_2021)/365.2422;,,3,3 +PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle,outcome,int_pro_,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; +INTi=N(of INT{*}); INTp=INTi/10; +if INTp>=0.75 then do; +score_INT6_raw=sum(of INT{*}); +score_INT6_mean=score_INT6_raw/INTi; +score_INT6_pro=round(score_INT6_mean*10,1); +end; +else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; +end; +array int_raw (4) int_raw_5-int_raw_8; +array int_pro (4) int_pro_5-int_pro_8; +array int_mean (4) int_avg_5-int_avg_8; + +do i=1 to 4; +if round_SDQ_age6=4+i then do; +int_raw(i)=score_INT6_raw; +int_pro(i)=score_INT6_pro; +int_mean(i)=score_INT6_mean; +end; +end;",data collected at the 6-year-old follow-up and concerns food allergy since birth,5,"5, 6, 7" +PELAGIE,harmonized,AGGR_EVAL_5,,,ATHLETE,outcome_ath,aggr_eval_,complete,final,,eval=2;,,5,5 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,hdlcage_,complete,final,,hdlcage_155=age_exam_jour;,,155,155 +PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle,outcome,int_pro_,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; +INTi=N(of INT{*}); INTp=INTi/10; +if INTp>=0.75 then do; +score_INT12_raw=sum(of INT{*}); +score_INT12_mean=score_INT12_raw/INTi; +score_INT12_pro=round(score_INT12_mean*10,1); +end; +else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; +end; +array int_raw (4) int_raw_11-int_raw_14; +array int_pro (4) int_pro_11-int_pro_14; +array int_mean (4) int_avg_11-int_avg_14; +do i=1 to 4; +if round_SDQ_age12=10+i then do; +int_raw(i)=score_INT12_raw; +int_pro(i)=score_INT12_pro; +int_mean(i)=score_INT12_mean; +end; +end;",,8,8 +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle,outcome,int_age_,complete,final,,int_age_5=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,5,5 +PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle,outcome,int_pro_,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; +INTi=N(of INT{*}); INTp=INTi/10; +if INTp>=0.75 then do; +score_INT12_raw=sum(of INT{*}); +score_INT12_mean=score_INT12_raw/INTi; +score_INT12_pro=round(score_INT12_mean*10,1); +end; +else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; +end; +array int_raw (4) int_raw_11-int_raw_14; +array int_pro (4) int_pro_11-int_pro_14; +array int_mean (4) int_avg_11-int_avg_14; +do i=1 to 4; +if round_SDQ_age12=10+i then do; +int_raw(i)=score_INT12_raw; +int_pro(i)=score_INT12_pro; +int_mean(i)=score_INT12_mean; +end; +end;",,11,"11, 12, 13" +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_prpa_lod_t,complete,final,,BDD_phtalates_phenols$m_prpa_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.04,,1,1 +PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle,outcome,int_pro_,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; +INTi=N(of INT{*}); INTp=INTi/10; +if INTp>=0.75 then do; +score_INT12_raw=sum(of INT{*}); +score_INT12_mean=score_INT12_raw/INTi; +score_INT12_pro=round(score_INT12_mean*10,1); +end; +else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; +end;",,14,14 +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle,outcome,int_age_,complete,final,,int_age_6=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,6,6 +PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle,outcome,int_avg_,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{3} b307 b313 b315; +INTi=N(of INT{*}); INTp=INTi/3; +if INTp>=0.75 then do; +score_INT2_raw=sum(of INT{*}); +score_INT2_mean=score_INT2_raw/INTi; +score_INT2_pro=round(score_INT2_mean*3,1); +end; +else do; score_INT2_raw=.; score_INT2_mean=.; score_INT2_pro=.; +end; +array int_raw (3) int_raw_1-int_raw_3; +array int_pro (3) int_pro_1-int_pro_3; +array int_mean (3) int_avg_1-int_avg_3; + +do i=1 to 3; +if round_SDQ_age2=i then do; +int_raw(i)=score_INT2_raw; +int_pro(i)=score_INT2_pro; +int_mean(i)=score_INT2_mean; +end; +end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,1,"1, 2" +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle,outcome,ext_age_,complete,final,,ext_age_8=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,8,8 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_prpa_lod_t,complete,final,,BDD_phtalates_phenols$m_prpa_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.04,,2,2 +PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle,outcome,int_avg_,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; +INTi=N(of INT{*}); INTp=INTi/10; +if INTp>=0.75 then do; +score_INT6_raw=sum(of INT{*}); +score_INT6_mean=score_INT6_raw/INTi; +score_INT6_pro=round(score_INT6_mean*10,1); +end; +else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; +end; +array int_raw (4) int_raw_5-int_raw_8; +array int_pro (4) int_pro_5-int_pro_8; +array int_mean (4) int_avg_5-int_avg_8; + +do i=1 to 4; +if round_SDQ_age6=4+i then do; +int_raw(i)=score_INT6_raw; +int_pro(i)=score_INT6_pro; +int_mean(i)=score_INT6_mean; +end; +end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,3,3 +PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle,outcome,int_avg_,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; +INTi=N(of INT{*}); INTp=INTi/10; +if INTp>=0.75 then do; +score_INT6_raw=sum(of INT{*}); +score_INT6_mean=score_INT6_raw/INTi; +score_INT6_pro=round(score_INT6_mean*10,1); +end; +else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; +end; +array int_raw (4) int_raw_5-int_raw_8; +array int_pro (4) int_pro_5-int_pro_8; +array int_mean (4) int_avg_5-int_avg_8; + +do i=1 to 4; +if round_SDQ_age6=4+i then do; +int_raw(i)=score_INT6_raw; +int_pro(i)=score_INT6_pro; +int_mean(i)=score_INT6_mean; +end; +end;",data collected at the 6-year-old follow-up and concerns food allergy since birth,5,"5, 6, 7" +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle,outcome,int_age_,complete,final,,int_age_7=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,7,7 +PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle,outcome,subscapsfmes_,complete,final,,subscapsfmes_148=0;,,148,148 +PELAGIE,harmonized,INT_EVAL_12,,,LifeCycle,outcome,int_eval_,complete,final,,eval=2;,,12,12 +PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle,outcome,int_avg_,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; +INTi=N(of INT{*}); INTp=INTi/10; +if INTp>=0.75 then do; +score_INT12_raw=sum(of INT{*}); +score_INT12_mean=score_INT12_raw/INTi; +score_INT12_pro=round(score_INT12_mean*10,1); +end; +else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; +end; +array int_raw (4) int_raw_11-int_raw_14; +array int_pro (4) int_pro_11-int_pro_14; +array int_mean (4) int_avg_11-int_avg_14; +do i=1 to 4; +if round_SDQ_age12=10+i then do; +int_raw(i)=score_INT12_raw; +int_pro(i)=score_INT12_pro; +int_mean(i)=score_INT12_mean; +end; +end;",,8,8 +PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle,outcome,int_avg_,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; +INTi=N(of INT{*}); INTp=INTi/10; +if INTp>=0.75 then do; +score_INT12_raw=sum(of INT{*}); +score_INT12_mean=score_INT12_raw/INTi; +score_INT12_pro=round(score_INT12_mean*10,1); +end; +else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; +end; +array int_raw (4) int_raw_11-int_raw_14; +array int_pro (4) int_pro_11-int_pro_14; +array int_mean (4) int_avg_11-int_avg_14; +do i=1 to 4; +if round_SDQ_age12=10+i then do; +int_raw(i)=score_INT12_raw; +int_pro(i)=score_INT12_pro; +int_mean(i)=score_INT12_mean; +end; +end;",,11,"11, 12, 13, 14" +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle,outcome,int_age_,complete,final,,int_age_8=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,8,8 +PELAGIE,harmonized,C_DMTP_RAW_6,,,ATHLETE,chemicals_ath,c_dmtp_lod_,complete,final,,"BDD_OP$c_dmtp_lod_6<-ifelse(!is.na(BDD_OP$c_dmtp_raw_6y),0.32,NA)",,6,6 +PELAGIE,harmonized,INT_PRO_1,,,LifeCycle,outcome,int_pc_,partial,final,"Percentile variables were generated only for years where information on prorated score was available for more than 10 children + +Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?","CPT2$int_pc_1<-xtile(CPT2$int_pro_1, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children + +Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?",1,1 +PELAGIE,harmonized,INT_INSTR_8,,,LifeCycle,outcome,int_instr_,complete,final,,instr=47;,,8,8 +PELAGIE,harmonized,INT_PRO_2,,,LifeCycle,outcome,int_pc_,partial,final,"Percentile variables were generated only for years where information on prorated score was available for more than 10 children + +Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?","CPT2$int_pc_2<-xtile(CPT2$int_pro_2, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children + +Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?",2,2 +PELAGIE,harmonized,INT_PRO_5,,,LifeCycle,outcome,int_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$int_pc_5<-xtile(SDQ6$int_pro_5, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,5,5 +PELAGIE,harmonized,INT_PRO_6,,,LifeCycle,outcome,int_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$int_pc_6<-xtile(SDQ6$int_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,6,6 +PELAGIE,BDD_pop,PCB138,,,ATHLETE,chemicals_ath,c_pcb138_raw_birth,partial,final,from cord blood,BDD_pop$c_pcb138_raw_birth<-BDD_pop$PCB138*943.4,from cord blood,, +PELAGIE,harmonized,INT_INSTR_1,,,LifeCycle,outcome,int_instr_,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,instr=13;,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,1,1 +PELAGIE,harmonized,INT_INSTR_2,,,LifeCycle,outcome,int_instr_,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,instr=13;,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,2,2 +PELAGIE,harmonized,EXT_PRO_13,,,LifeCycle,outcome,ext_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ12$ext_pc_13<-xtile(SDQ12$ext_pro_13, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,13,13 +PELAGIE,BDD_phtalates_phenols,"BUPA,SGURINEF",,,ATHLETE,chemicals_ath,m_bupa_raw_t,complete,final,,BDD_phtalates_phenols$m_bupa_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$BUPA,,1,1 +PELAGIE,harmonized,INT_INSTR_3,,,LifeCycle,outcome,int_instr_,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,instr=13;,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,3,3 +PELAGIE,harmonized,INT_INSTR_5,,,LifeCycle,outcome,int_instr_,complete,final,,instr=47;,,5,5 +PELAGIE,harmonized,INT_INSTR_6,,,LifeCycle,outcome,int_instr_,complete,final,,instr=47;,,6,6 +PELAGIE,harmonized,INT_INSTR_7,,,LifeCycle,outcome,int_instr_,complete,final,,instr=47;,,7,7 +PELAGIE,harmonized,INT_EVAL_8,,,LifeCycle,outcome,int_eval_,complete,final,,eval=2;,,8,8 +PELAGIE,harmonized,INT_EVAL_11,,,LifeCycle,outcome,int_eval_,complete,final,,eval=2;,,11,11 +PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,LifeCycle,outcome,wm_age_,complete,final,,wm_age_6=(date_RDV-ddn_2021)/365.2422;,,6,6 +PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320,B319,B308,B317,B306,B310,B314",,,LifeCycle,outcome,ext_raw_,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?","array EXT{12} b304 b309 b311 b312 b316 b320 b319 b308 b317 b306 b310 b314; +EXTi=N(of EXT{*}); EXTp=EXTi/12; +if EXTp>=0.75 then do; +score_EXT2_raw=sum(of EXT{*}); +score_EXT2_mean=score_EXT2_raw/EXTi; +score_EXT2_pro=round(score_EXT2_mean*12,1); +end; +else do; score_EXT2_raw=.; score_EXT2_mean=.; score_EXT2_pro=.; +end; +array ext_raw (3) ext_raw_1-ext_raw_3; +array ext_pro (3) ext_pro_1-ext_pro_3; +array ext_mean (3) ext_avg_1-ext_avg_3; + +do i=1 to 3; +if round_SDQ_age2=i then do; +ext_raw(i)=score_ext2_raw; +ext_pro(i)=score_ext2_pro; +ext_mean(i)=score_ext2_mean; +end; +end;","Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?",1,"1, 2, 3" +PELAGIE,harmonized,EXT_PRO_7,,,LifeCycle,outcome,ext_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$ext_pc_7<-xtile(SDQ6$ext_pro_7, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,7,7 +PELAGIE,harmonized,NVI_PRO_6,,,LifeCycle,outcome,nvi_pc_,partial,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"WISC$nvi_pc_6<-xtile(WISC$nvi_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,6,6 +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle,outcome,ext_age_,complete,final,,ext_age_14=(DATE-ddn_2021)/365.2422;,,14,14 +PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle,outcome,hipcircmes_,complete,final,,hipcircmes_156=0;,,156,156 +PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle,outcome,ext_raw_,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; +EXTi=N(of EXT{*}); EXTp=EXTi/10; +if EXTp>=0.75 then do; +score_EXT6_raw=sum(of EXT{*}); +score_EXT6_mean=score_EXT6_raw/EXTi; +score_EXT6_pro=round(score_EXT6_mean*10,1); +end; +else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; +end; +array ext_raw (4) ext_raw_5-ext_raw_8; +array ext_pro (4) ext_pro_5-ext_pro_8; +array ext_mean (4) ext_avg_5-ext_avg_8; +do i=1 to 3; +if round_SDQ_age6=i+4 then do; +ext_raw(i)=score_ext6_raw; +ext_pro(i)=score_ext6_pro; +ext_mean(i)=score_ext6_mean; +end; +end;",data collected at the 6-year-old follow-up and concerns food allergy since birth,5,"5, 6, 7" +PELAGIE,harmonized,ATT_COM_STD_6,,,ATHLETE,outcome_ath,att_com_pc_,partial,final,,"ATT$att_com_pc_6<-xtile(ATT$att_com_std_6, n=100)",Percentile variables were generated only for years where information on standardized score was available for more than 10 children,6,6 +PELAGIE,harmonized,EXT_INSTR_12,,,LifeCycle,outcome,ext_instr_,complete,final,,instr=47;,,12,12 +PELAGIE,harmonized,EXT_INSTR_13,,,LifeCycle,outcome,ext_instr_,complete,final,,instr=47;,,13,13 +PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle,outcome,ext_raw_,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; +EXTi=N(of EXT{*}); EXTp=EXTi/10; +if EXTp>=0.75 then do; +score_EXT12_raw=sum(of EXT{*}); +score_EXT12_mean=score_EXT12_raw/EXTi; +score_EXT12_pro=round(score_EXT12_mean*10,1); +end; +else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; +end; +array ext_raw (4) ext_raw_11-ext_raw_14; +array ext_pro (4) ext_pro_11-ext_pro_14; +array ext_mean (4) ext_avg_11-ext_avg_14; +do i=1 to 4; +if round_SDQ_age12=10+i then do; +ext_raw(i)=score_ext12_raw; +ext_pro(i)=score_ext12_pro; +ext_mean(i)=score_ext12_mean; +end; +end;",,13,"11, 12, 13, 14" +PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle,outcome,ext_raw_,complete,final,,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; +EXTi=N(of EXT{*}); EXTp=EXTi/10; +if EXTp>=0.75 then do; +score_EXT6_raw=sum(of EXT{*}); +score_EXT6_mean=score_EXT6_raw/EXTi; +score_EXT6_pro=round(score_EXT6_mean*10,1); +end; +else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; +end; +array ext_raw (4) ext_raw_5-ext_raw_8; +array ext_pro (4) ext_pro_5-ext_pro_8; +array ext_mean (4) ext_avg_5-ext_avg_8; +do i=1 to 3; +if round_SDQ_age6=i+4 then do; +ext_raw(i)=score_ext6_raw; +ext_pro(i)=score_ext6_pro; +ext_mean(i)=score_ext6_mean; +end; +end;",,8,8 +PELAGIE,harmonized,EXT_EVAL_1,,,LifeCycle,outcome,ext_eval_,complete,final,,eval=2;,,1,1 +PELAGIE,harmonized,EXT_PRO_5,,,LifeCycle,outcome,ext_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$ext_pc_5<-xtile(SDQ6$ext_pro_5, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,5,5 +PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle,outcome,subscapsfmes_,complete,final,,subscapsfmes_149=0;,,149,149 +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_149=0;,,149,149 +PELAGIE,harmonized,EXT_INSTR_14,,,LifeCycle,outcome,ext_instr_,complete,final,,instr=47;,,14,14 +PELAGIE,harmonized,EXT_EVAL_2,,,LifeCycle,outcome,ext_eval_,complete,final,,eval=2;,,2,2 +PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320,B319,B308,B317,B306,B310,B314",,,LifeCycle,outcome,ext_pro_,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?","array EXT{12} b304 b309 b311 b312 b316 b320 b319 b308 b317 b306 b310 b314; +EXTi=N(of EXT{*}); EXTp=EXTi/12; +if EXTp>=0.75 then do; +score_EXT2_raw=sum(of EXT{*}); +score_EXT2_mean=score_EXT2_raw/EXTi; +score_EXT2_pro=round(score_EXT2_mean*12,1); +end; +else do; score_EXT2_raw=.; score_EXT2_mean=.; score_EXT2_pro=.; +end; +array ext_raw (3) ext_raw_1-ext_raw_3; +array ext_pro (3) ext_pro_1-ext_pro_3; +array ext_mean (3) ext_avg_1-ext_avg_3; + +do i=1 to 3; +if round_SDQ_age2=i then do; +ext_raw(i)=score_ext2_raw; +ext_pro(i)=score_ext2_pro; +ext_mean(i)=score_ext2_mean; +end; +end;","Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?",1,"1, 2, 3" +PELAGIE,BDD_pop,PPDDE,,,ATHLETE,chemicals_ath,c_dde_raw_birth,partial,final,from cord blood,BDD_pop$c_dde_raw_birth<-BDD_pop$ppDDE*943.4,from cord blood,, +PELAGIE,harmonized,EXT_EVAL_7,,,LifeCycle,outcome,ext_eval_,complete,final,,eval=2;,,7,7 +PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle,outcome,ext_pro_,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; +EXTi=N(of EXT{*}); EXTp=EXTi/10; +if EXTp>=0.75 then do; +score_EXT6_raw=sum(of EXT{*}); +score_EXT6_mean=score_EXT6_raw/EXTi; +score_EXT6_pro=round(score_EXT6_mean*10,1); +end; +else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; +end; +array ext_raw (4) ext_raw_5-ext_raw_8; +array ext_pro (4) ext_pro_5-ext_pro_8; +array ext_mean (4) ext_avg_5-ext_avg_8; +do i=1 to 3; +if round_SDQ_age6=i+4 then do; +ext_raw(i)=score_ext6_raw; +ext_pro(i)=score_ext6_pro; +ext_mean(i)=score_ext6_mean; +end; +end;",data collected at the 6-year-old follow-up and concerns food allergy since birth,5,"5, 6, 7" +PELAGIE,harmonized,EXT_PRO_6,,,LifeCycle,outcome,ext_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$ext_pc_6<-xtile(SDQ6$ext_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,6,6 +PELAGIE,harmonized,EXT_PRO_12,,,LifeCycle,outcome,ext_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ12$ext_pc_12<-xtile(SDQ12$ext_pro_12, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,12,12 +PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,ATHLETE,outcome_ath,aggr_age_,complete,final,,aggr_age_1=(b3-ddn_2021)/365.2422;,,1,1 +PELAGIE,harmonized,NVI_INSTR_6,,,LifeCycle,outcome,nvi_instr_,partial,final,Only 1 task : Cubes to assess Perceptive Reasoning,nvi_instr_6=57;,Only 1 task : Cubes to assess Perceptive Reasoning,6,6 +PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle,outcome,ext_pro_,complete,final,,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; +EXTi=N(of EXT{*}); EXTp=EXTi/10; +if EXTp>=0.75 then do; +score_EXT6_raw=sum(of EXT{*}); +score_EXT6_mean=score_EXT6_raw/EXTi; +score_EXT6_pro=round(score_EXT6_mean*10,1); +end; +else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; +end; +array ext_raw (4) ext_raw_5-ext_raw_8; +array ext_pro (4) ext_pro_5-ext_pro_8; +array ext_mean (4) ext_avg_5-ext_avg_8; +do i=1 to 3; +if round_SDQ_age6=i+4 then do; +ext_raw(i)=score_ext6_raw; +ext_pro(i)=score_ext6_pro; +ext_mean(i)=score_ext6_mean; +end; +end;",,8,8 +PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle,outcome,ext_pro_,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; +EXTi=N(of EXT{*}); EXTp=EXTi/10; +if EXTp>=0.75 then do; +score_EXT12_raw=sum(of EXT{*}); +score_EXT12_mean=score_EXT12_raw/EXTi; +score_EXT12_pro=round(score_EXT12_mean*10,1); +end; +else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; +end; +array ext_raw (4) ext_raw_11-ext_raw_14; +array ext_pro (4) ext_pro_11-ext_pro_14; +array ext_mean (4) ext_avg_11-ext_avg_14; +do i=1 to 4; +if round_SDQ_age12=10+i then do; +ext_raw(i)=score_ext12_raw; +ext_pro(i)=score_ext12_pro; +ext_mean(i)=score_ext12_mean; +end; +end;",,11,"11, 12, 13, 14" +PELAGIE,harmonized,EXT_EVAL_3,,,LifeCycle,outcome,ext_eval_,complete,final,,eval=2;,,3,3 +PELAGIE,harmonized,AGGR_EVAL_6,,,ATHLETE,outcome_ath,aggr_eval_,complete,final,,eval=2;,,6,6 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_cxminp_lod_t,complete,final,,BDD_phtalates_phenols$m_cxminp_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.70,,2,2 +PELAGIE,harmonized,AGGR_INSTR_1,,,ATHLETE,outcome_ath,aggr_instr_,partial,final,,instr=13;,"Partial CBCL scale: +(1) how often would you say that your child has been rebellious or refused to obey? +(2) how often would you say your child has been in a fight? +(3) how often would you say that your child did not seem to feel remorse after misbehaving? +(4) how often would you say that your child has not changed their behaviour after being punished? +(5) how often would you say your child has physically attacked others? +(6) how often would you say that your child has hit, bitten or kicked other children?",1,1 +PELAGIE,harmonized,EXT_EVAL_8,,,LifeCycle,outcome,ext_eval_,complete,final,,eval=2;,,8,8 +PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320,B319,B308,B317,B306,B310,B314",,,LifeCycle,outcome,ext_avg_,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?","array EXT{12} b304 b309 b311 b312 b316 b320 b319 b308 b317 b306 b310 b314; +EXTi=N(of EXT{*}); EXTp=EXTi/12; +if EXTp>=0.75 then do; +score_EXT2_raw=sum(of EXT{*}); +score_EXT2_mean=score_EXT2_raw/EXTi; +score_EXT2_pro=round(score_EXT2_mean*12,1); +end; +else do; score_EXT2_raw=.; score_EXT2_mean=.; score_EXT2_pro=.; +end; +array ext_raw (3) ext_raw_1-ext_raw_3; +array ext_pro (3) ext_pro_1-ext_pro_3; +array ext_mean (3) ext_avg_1-ext_avg_3; + +do i=1 to 3; +if round_SDQ_age2=i then do; +ext_raw(i)=score_ext2_raw; +ext_pro(i)=score_ext2_pro; +ext_mean(i)=score_ext2_mean; +end; +end;","Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?",1,"1, 2, 3" +PELAGIE,harmonized,EXT_EVAL_5,,,LifeCycle,outcome,ext_eval_,complete,final,,eval=2;,,5,5 +PELAGIE,BDD_pop,BETAHCH,,,ATHLETE,chemicals_ath,c_hch_raw_birth,partial,final,from cord blood,BDD_pop$c_hch_raw_birth<-BDD_pop$betaHCH*943.4,from cord blood,, +PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle,outcome,ext_avg_,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; +EXTi=N(of EXT{*}); EXTp=EXTi/10; +if EXTp>=0.75 then do; +score_EXT6_raw=sum(of EXT{*}); +score_EXT6_mean=score_EXT6_raw/EXTi; +score_EXT6_pro=round(score_EXT6_mean*10,1); +end; +else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; +end; +array ext_raw (4) ext_raw_5-ext_raw_8; +array ext_pro (4) ext_pro_5-ext_pro_8; +array ext_mean (4) ext_avg_5-ext_avg_8; +do i=1 to 3; +if round_SDQ_age6=i+4 then do; +ext_raw(i)=score_ext6_raw; +ext_pro(i)=score_ext6_pro; +ext_mean(i)=score_ext6_mean; +end; +end;",data collected at the 6-year-old follow-up and concerns food allergy since birth,5,"5, 6, 7" +PELAGIE,harmonized,EXT_EVAL_11,,,LifeCycle,outcome,ext_eval_,complete,final,,eval=2;,,11,11 +PELAGIE,harmonized,EXT_EVAL_12,,,LifeCycle,outcome,ext_eval_,complete,final,,eval=2;,,12,12 +PELAGIE,harmonized,AGGR_EVAL_7,,,ATHLETE,outcome_ath,aggr_eval_,complete,final,,eval=2;,,7,7 +PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle,outcome,hipcircmes_,complete,final,,hipcircmes_157=0;,,157,157 +PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle,outcome,ext_avg_,complete,final,,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; +EXTi=N(of EXT{*}); EXTp=EXTi/10; +if EXTp>=0.75 then do; +score_EXT6_raw=sum(of EXT{*}); +score_EXT6_mean=score_EXT6_raw/EXTi; +score_EXT6_pro=round(score_EXT6_mean*10,1); +end; +else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; +end; +array ext_raw (4) ext_raw_5-ext_raw_8; +array ext_pro (4) ext_pro_5-ext_pro_8; +array ext_mean (4) ext_avg_5-ext_avg_8; +do i=1 to 3; +if round_SDQ_age6=i+4 then do; +ext_raw(i)=score_ext6_raw; +ext_pro(i)=score_ext6_pro; +ext_mean(i)=score_ext6_mean; +end; +end;",,8,8 +PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle,outcome,ext_avg_,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; +EXTi=N(of EXT{*}); EXTp=EXTi/10; +if EXTp>=0.75 then do; +score_EXT12_raw=sum(of EXT{*}); +score_EXT12_mean=score_EXT12_raw/EXTi; +score_EXT12_pro=round(score_EXT12_mean*10,1); +end; +else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; +end; +array ext_raw (4) ext_raw_11-ext_raw_14; +array ext_pro (4) ext_pro_11-ext_pro_14; +array ext_mean (4) ext_avg_11-ext_avg_14; +do i=1 to 4; +if round_SDQ_age12=10+i then do; +ext_raw(i)=score_ext12_raw; +ext_pro(i)=score_ext12_pro; +ext_mean(i)=score_ext12_mean; +end; +end;",,11,"11, 12, 13, 14" +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle,outcome,ext_age_,complete,final,,ext_age_13=(DATE-ddn_2021)/365.2422;,,13,13 +PELAGIE,BDD_phtalates_phenols,"BUPA,SGURINEF",,,ATHLETE,chemicals_ath,m_bupa_raw_t,complete,final,,BDD_phtalates_phenols$m_bupa_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$BUPA,,2,2 +PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle,outcome,adhd_raw_,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; +HYi=N(of HY{*}); HYp=HYi/5; +if HYp>=0.75 then do; +score_HY12_raw=sum(of HY{*}); +score_HY12_mean=score_HY12_raw/HYi; +score_HY12_pro=round(score_HY12_mean*5,1); +end; +else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; +end; + +array adhd_raw (4) adhd_raw_11-adhd_raw_14; +array adhd_pro (4) adhd_pro_11-adhd_pro_14; +array adhd_mean (4) adhd_avg_11-adhd_avg_14; +do i=1 to 4; +if round_SDQ_age12=10+i then do; +adhd_raw(i)=score_HY12_raw; +adhd_pro(i)=score_HY12_pro; +adhd_mean(i)=score_HY12_mean; +end; +end;",,12,"11, 12, 13, 14" +PELAGIE,harmonized,EXT_PRO_1,,,LifeCycle,outcome,ext_pc_,partial,final,"Percentile variables were generated only for years where information on prorated score was available for more than 10 children. + +Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?","CPT2$ext_pc_1<-xtile(CPT2$ext_pro_1, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children. + +Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?",1,1 +PELAGIE,harmonized,EXT_EVAL_13,,,LifeCycle,outcome,ext_eval_,complete,final,,eval=2;,,13,13 +PELAGIE,harmonized,EXT_PRO_2,,,LifeCycle,outcome,ext_pc_,partial,final,"Percentile variables were generated only for years where information on prorated score was available for more than 10 children + +Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?","CPT2$ext_pc_2<-xtile(CPT2$ext_pro_2, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children + +Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?",2,2 +PELAGIE,harmonized,ADHD_INSTR_12,,,LifeCycle,outcome,adhd_instr_,complete,final,,instr=47;,,12,12 +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_146=0;,,146,146 +PELAGIE,BDD_OP,CHILDDMDTP,,,ATHLETE,chemicals_ath,c_dmdtp_raw_,complete,final,,BDD_OP$c_dmdtp_raw_6<-BDD_OP$CHILDDMDTP,,6,6 +PELAGIE,harmonized,EXT_INSTR_1,,,LifeCycle,outcome,ext_instr_,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?",instr=13;,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?",1,1 +PELAGIE,harmonized,AGGR_EVAL_12,,,ATHLETE,outcome_ath,aggr_eval_,complete,final,,eval=2;,,12,12 +PELAGIE,pepsy,WISCC,,,LifeCycle,outcome,nvi_raw_,partial,final,Only the CUBES task to assess perceptive reasoning,"array NV{1} WISCc; NVi=N(of NV{*}); NVp=NVi/1; if NVp>=0.75 then do; +NV12_raw=sum(of NV{*}); +NV12_mean=NV12_raw/NVi; +NV12_pro=round(NV12_mean*1,1); +end;",Only the CUBES task to assess perceptive reasoning,5,"5, 6" +PELAGIE,harmonized,EXT_INSTR_2,,,LifeCycle,outcome,ext_instr_,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?",instr=13;,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?",2,2 +PELAGIE,harmonized,EXT_INSTR_3,,,LifeCycle,outcome,ext_instr_,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?",instr=13;,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child has been rebellious or refused to obey? +(3) how often would you say your child has been in a fight? +(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(5) how often would you say that your child did not seem to feel remorse after misbehaving? +(6) how often would you say your child has constantly fidgeted? +(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(8) how often would you say that your child has not changed their behaviour after being punished? +(9) how often would you say that your child has had difficulty waiting for their turn in a game? +(10) how often would you say your child has physically attacked others? +(11) how often would you say that your child has hit, bitten or kicked other children? +(12) how often would you say your child has been inattentive/distracted?",3,3 +PELAGIE,harmonized,EXT_INSTR_5,,,LifeCycle,outcome,ext_instr_,complete,final,,instr=47;,,5,5 +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle,outcome,triglyceridesmes_,complete,final,,triglyceridesmes_149=0;,,149,149 +PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle,outcome,adhd_raw_,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; +HYi=N(of HY{*}); HYp=HYi/5; +if HYp>=0.75 then do; +score_HY6_raw=sum(of HY{*}); +score_HY6_mean=score_HY6_raw/HYi; +score_HY6_pro=round(score_HY6_mean*5,1); +end; +else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; +end; +array adhd_raw (4) adhd_raw_5-adhd_raw_8; +array adhd_pro (4) adhd_pro_5-adhd_pro_8; +array adhd_mean (4) adhd_avg_5-adhd_avg_8; + +do i=1 to 4; +if round_SDQ_age6=i+4 then do; +adhd_raw(i)=score_HY6_raw; +adhd_pro(i)=score_HY6_pro; +adhd_mean(i)=score_HY6_mean; +end; +end;",data collected at the 6-year-old follow-up and concerns food allergy since birth,5,"5, 6, 7" +PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle,outcome,adhd_raw_,complete,final,,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; +HYi=N(of HY{*}); HYp=HYi/5; +if HYp>=0.75 then do; +score_HY6_raw=sum(of HY{*}); +score_HY6_mean=score_HY6_raw/HYi; +score_HY6_pro=round(score_HY6_mean*5,1); +end; +else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; +end; +array adhd_raw (4) adhd_raw_5-adhd_raw_8; +array adhd_pro (4) adhd_pro_5-adhd_pro_8; +array adhd_mean (4) adhd_avg_5-adhd_avg_8; + +do i=1 to 4; +if round_SDQ_age6=i+4 then do; +adhd_raw(i)=score_HY6_raw; +adhd_pro(i)=score_HY6_pro; +adhd_mean(i)=score_HY6_mean; +end; +end;",,8,8 +PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle,outcome,adhd_pro_,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; +HYi=N(of HY{*}); HYp=HYi/5; +if HYp>=0.75 then do; +score_HY6_raw=sum(of HY{*}); +score_HY6_mean=score_HY6_raw/HYi; +score_HY6_pro=round(score_HY6_mean*5,1); +end; +else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; +end; +array adhd_raw (4) adhd_raw_5-adhd_raw_8; +array adhd_pro (4) adhd_pro_5-adhd_pro_8; +array adhd_mean (4) adhd_avg_5-adhd_avg_8; + +do i=1 to 4; +if round_SDQ_age6=i+4 then do; +adhd_raw(i)=score_HY6_raw; +adhd_pro(i)=score_HY6_pro; +adhd_mean(i)=score_HY6_mean; +end; +end;",data collected at the 6-year-old follow-up and concerns food allergy since birth,6,"5, 6, 7" +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,ldlcage_,complete,final,,ldlcage_149=age_exam_jour;,,149,149 +PELAGIE,harmonized,AGGR_PRO_7,,,ATHLETE,outcome_ath,aggr_pc_,complete,final,,"SDQ6$aggr_pc_7<-xtile(SDQ6$aggr_pro_7, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,7,7 +PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320",,,LifeCycle,outcome,adhd_pro_,partial,final,"Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?","array HY{6} b304 b309 b311 b312 b316 b320; +HYi=N(of HY{*}); HYp=HYi/6; +if HYp>=0.75 then do; +score_HY2_raw=sum(of HY{*}); +score_HY2_mean=score_HY2_raw/HYi; +score_HY2_pro=round(score_HY2_mean*6,1); +end; +else do; score_HY2_raw=.; score_HY2_mean=.; score_HY2_pro=.; +end; +array adhd_raw (3) adhd_raw_1-adhd_raw_3; +array adhd_pro (3) adhd_pro_1-adhd_pro_3; +array adhd_mean (3) adhd_avg_1-adhd_avg_3; +do i=1 to 3; +if round_SDQ_age2=i then do; +adhd_raw(i)=score_HY2_raw; +adhd_pro(i)=score_HY2_pro; +adhd_mean(i)=score_HY2_mean; +end; +end;","Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?",2,"1, 2, 3" +PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,ATHLETE,outcome_ath,aggr_age_,complete,final,,aggr_age_3=(b3-ddn_2021)/365.2422;,,3,3 +PELAGIE,harmonized,NVI_EVAL_5,,,LifeCycle,outcome,nvi_eval_,complete,final,,nvi_eval_5=3;,,5,5 +PELAGIE,harmonized,NVI_EVAL_6,,,LifeCycle,outcome,nvi_eval_,complete,final,,nvi_eval_6=3;,,6,6 +PELAGIE,harmonized,ADHD_PRO_13,,,LifeCycle,outcome,adhd_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ12$adhd_pc_13<-xtile(SDQ12$adhd_pro_13, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,13,13 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_bupa_lod_t,complete,final,,BDD_phtalates_phenols$m_bupa_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.07,,1,1 +PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle,outcome,adhd_pro_,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; +HYi=N(of HY{*}); HYp=HYi/5; +if HYp>=0.75 then do; +score_HY12_raw=sum(of HY{*}); +score_HY12_mean=score_HY12_raw/HYi; +score_HY12_pro=round(score_HY12_mean*5,1); +end; +else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; +end; + +array adhd_raw (4) adhd_raw_11-adhd_raw_14; +array adhd_pro (4) adhd_pro_11-adhd_pro_14; +array adhd_mean (4) adhd_avg_11-adhd_avg_14; +do i=1 to 4; +if round_SDQ_age12=10+i then do; +adhd_raw(i)=score_HY12_raw; +adhd_pro(i)=score_HY12_pro; +adhd_mean(i)=score_HY12_mean; +end; +end;",,11,"11, 12, 13, 14" +PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle,outcome,adhd_age_,complete,final,,adhd_age_1=(b3-ddn_2021)/365.2422;,,1,1 +PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE,outcome_ath,aggr_raw_,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; +AGRi=N(of AGR{*}); AGRp=AGRi/5; +if AGRp>=0.75 then do; +score_AGR6_raw=sum(of AGR{*}); +score_AGR6_mean=score_AGR6_raw/AGRi; +score_AGR6_pro=round(score_AGR6_mean*5,1); +end; +else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; +end; +array aggr_raw (4) aggr_raw_5-aggr_raw_8; +array aggr_pro (4) aggr_pro_5-aggr_pro_8; +array aggr_mean (4) aggr_avg_5-aggr_avg_8; + +do i=1 to 4; +if round_SDQ_age6=i+4 then do; +aggr_raw(i)=score_AGR6_raw; +aggr_pro(i)=score_AGR6_pro; +aggr_mean(i)=score_AGR6_mean; +end; +end;",,6,"5, 6, 7, 8" +PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle,outcome,adhd_pro_,complete,final,,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; +HYi=N(of HY{*}); HYp=HYi/5; +if HYp>=0.75 then do; +score_HY6_raw=sum(of HY{*}); +score_HY6_mean=score_HY6_raw/HYi; +score_HY6_pro=round(score_HY6_mean*5,1); +end; +else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; +end; +array adhd_raw (4) adhd_raw_5-adhd_raw_8; +array adhd_pro (4) adhd_pro_5-adhd_pro_8; +array adhd_mean (4) adhd_avg_5-adhd_avg_8; + +do i=1 to 4; +if round_SDQ_age6=i+4 then do; +adhd_raw(i)=score_HY6_raw; +adhd_pro(i)=score_HY6_pro; +adhd_mean(i)=score_HY6_mean; +end; +end;",,8,8 +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_147=0;,,147,147 +PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle,outcome,adhd_age_,complete,final,,adhd_age_2=(b3-ddn_2021)/365.2422;,,2,2 +PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle,outcome,adhd_age_,complete,final,,adhd_age_3=(b3-ddn_2021)/365.2422;,,3,3 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,hdlcage_,complete,final,,hdlcage_156=age_exam_jour;,,156,156 +PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320",,,LifeCycle,outcome,adhd_avg_,partial,final,"Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?","array HY{6} b304 b309 b311 b312 b316 b320; +HYi=N(of HY{*}); HYp=HYi/6; +if HYp>=0.75 then do; +score_HY2_raw=sum(of HY{*}); +score_HY2_mean=score_HY2_raw/HYi; +score_HY2_pro=round(score_HY2_mean*6,1); +end; +else do; score_HY2_raw=.; score_HY2_mean=.; score_HY2_pro=.; +end; +array adhd_raw (3) adhd_raw_1-adhd_raw_3; +array adhd_pro (3) adhd_pro_1-adhd_pro_3; +array adhd_mean (3) adhd_avg_1-adhd_avg_3; +do i=1 to 3; +if round_SDQ_age2=i then do; +adhd_raw(i)=score_HY2_raw; +adhd_pro(i)=score_HY2_pro; +adhd_mean(i)=score_HY2_mean; +end; +end;","Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?",1,"1, 2, 3" +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle,outcome,adhd_age_,complete,final,,adhd_age_5=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,5,5 +PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle,outcome,adhd_avg_,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; +HYi=N(of HY{*}); HYp=HYi/5; +if HYp>=0.75 then do; +score_HY12_raw=sum(of HY{*}); +score_HY12_mean=score_HY12_raw/HYi; +score_HY12_pro=round(score_HY12_mean*5,1); +end; +else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; +end; + +array adhd_raw (4) adhd_raw_11-adhd_raw_14; +array adhd_pro (4) adhd_pro_11-adhd_pro_14; +array adhd_mean (4) adhd_avg_11-adhd_avg_14; +do i=1 to 4; +if round_SDQ_age12=10+i then do; +adhd_raw(i)=score_HY12_raw; +adhd_pro(i)=score_HY12_pro; +adhd_mean(i)=score_HY12_mean; +end; +end;",,14,"11, 12, 13, 14" +PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle,outcome,adhd_avg_,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; +HYi=N(of HY{*}); HYp=HYi/5; +if HYp>=0.75 then do; +score_HY6_raw=sum(of HY{*}); +score_HY6_mean=score_HY6_raw/HYi; +score_HY6_pro=round(score_HY6_mean*5,1); +end; +else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; +end; +array adhd_raw (4) adhd_raw_5-adhd_raw_8; +array adhd_pro (4) adhd_pro_5-adhd_pro_8; +array adhd_mean (4) adhd_avg_5-adhd_avg_8; + +do i=1 to 4; +if round_SDQ_age6=i+4 then do; +adhd_raw(i)=score_HY6_raw; +adhd_pro(i)=score_HY6_pro; +adhd_mean(i)=score_HY6_mean; +end; +end;",data collected at the 6-year-old follow-up and concerns food allergy since birth,5,"5, 6, 7" +PELAGIE,harmonized,ADHD_INSTR_11,,,LifeCycle,outcome,adhd_instr_,complete,final,,instr=47;,,11,11 +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle,outcome,adhd_age_,complete,final,,adhd_age_6=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,6,6 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_bupa_lod_t,complete,final,,BDD_phtalates_phenols$m_bupa_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.07,,2,2 +PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle,outcome,adhd_avg_,complete,final,,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; +HYi=N(of HY{*}); HYp=HYi/5; +if HYp>=0.75 then do; +score_HY6_raw=sum(of HY{*}); +score_HY6_mean=score_HY6_raw/HYi; +score_HY6_pro=round(score_HY6_mean*5,1); +end; +else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; +end; +array adhd_raw (4) adhd_raw_5-adhd_raw_8; +array adhd_pro (4) adhd_pro_5-adhd_pro_8; +array adhd_mean (4) adhd_avg_5-adhd_avg_8; + +do i=1 to 4; +if round_SDQ_age6=i+4 then do; +adhd_raw(i)=score_HY6_raw; +adhd_pro(i)=score_HY6_pro; +adhd_mean(i)=score_HY6_mean; +end; +end;",,8,8 +PELAGIE,harmonized,ADHD_PRO_7,,,LifeCycle,outcome,adhd_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$adhd_pc_7<-xtile(SDQ6$adhd_pro_7, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,7,7 +PELAGIE,harmonized,ASD_EVAL_12,,,LifeCycle,outcome,asd_eval_,complete,final,,asd_eval_12=2;,,12,12 +PELAGIE,harmonized,ADHD_PRO_1,,,LifeCycle,outcome,adhd_pc_,partial,final,"Percentile variables were generated only for years where information on prorated score was available for more than 10 children + +Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?","CPT2$adhd_pc_1<-xtile(CPT2$adhd_pro_1, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children + +Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?",1,1 +PELAGIE,pelagie_q2,"B319,B308,B317,B306,B310,B314",,,ATHLETE,outcome_ath,aggr_raw_,partial,final,,"array AGR{6} b319 b308 b317 b306 b310 b314; +AGRi=N(of AGR{*}); AGRp=AGRi/6; +if AGRp>=0.75 then do; +score_AGR2_raw=sum(of AGR{*}); +score_AGR2_mean=score_AGR2_raw/AGRi; +score_AGR2_pro=round(score_AGR2_mean*6,1); +end; +else do; score_AGR2_raw=.; score_AGR2_mean=.; score_AGR2_pro=.; +end; +array aggr_raw (3) aggr_raw_1-aggr_raw_3; +array aggr_pro (3) aggr_pro_1-aggr_pro_3; +array aggr_mean (3) aggr_avg_1-aggr_avg_3; + +do i=1 to 3; +if round_SDQ_age2=i then do; +aggr_raw(i)=score_AGR2_raw; +aggr_pro(i)=score_AGR2_pro; +aggr_mean(i)=score_AGR2_mean; +end; +end;","Partial CBCL scale: +(1) how often would you say that your child has been rebellious or refused to obey? +(2) how often would you say your child has been in a fight? +(3) how often would you say that your child did not seem to feel remorse after misbehaving? +(4) how often would you say that your child has not changed their behaviour after being punished? +(5) how often would you say your child has physically attacked others? +(6) how often would you say that your child has hit, bitten or kicked other children?",3,"1, 2, 3" +PELAGIE,harmonized,ADHD_PRO_2,,,LifeCycle,outcome,adhd_pc_,partial,final,"Percentile variables were generated only for years where information on prorated score was available for more than 10 children + +Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?","CPT2$adhd_pc_2<-xtile(CPT2$adhd_pro_2, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children + +Partial CBCL scale: +(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? +(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? +(3) how often would you say your child has constantly fidgeted? +(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? +(5) how often would you say that your child has had difficulty waiting for their turn in a game? +(6) how often would you say your child has been inattentive/distracted?",2,2 +PELAGIE,harmonized,ADHD_PRO_5,,,LifeCycle,outcome,adhd_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$adhd_pc_5<-xtile(SDQ6$adhd_pro_5, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,5,5 +PELAGIE,harmonized,ADHD_PRO_6,,,LifeCycle,outcome,adhd_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$adhd_pc_6<-xtile(SDQ6$adhd_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,6,6 +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_148=0;,,148,148 +PELAGIE,harmonized,AGGR_EVAL_8,,,ATHLETE,outcome_ath,aggr_eval_,complete,final,,eval=2;,,8,8 +PELAGIE,harmonized,AGGR_EVAL_1,,,ATHLETE,outcome_ath,aggr_eval_,complete,final,,eval=2;,,1,1 +PELAGIE,harmonized,AGGR_INSTR_3,,,ATHLETE,outcome_ath,aggr_instr_,partial,final,,instr=13;,"Partial CBCL scale: +(1) how often would you say that your child has been rebellious or refused to obey? +(2) how often would you say your child has been in a fight? +(3) how often would you say that your child did not seem to feel remorse after misbehaving? +(4) how often would you say that your child has not changed their behaviour after being punished? +(5) how often would you say your child has physically attacked others? +(6) how often would you say that your child has hit, bitten or kicked other children?",3,3 +PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE,outcome_ath,aggr_raw_,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; +AGRi=N(of AGR{*}); AGRp=AGRi/5; + +if AGRp>=0.75 then do; +score_AGR12_raw=sum(of AGR{*}); +score_AGR12_mean=score_AGR12_raw/AGRi; +score_AGR12_pro=round(score_AGR12_mean*5,1); +end; +else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; +end; + +array aggr_raw (4) aggr_raw_11-aggr_raw_14; +array aggr_pro (4) aggr_pro_11-aggr_pro_14; +array aggr_mean (4) aggr_avg_11-aggr_avg_14; + +do i=1 to 4; +if round_SDQ_age12=10+i then do; +aggr_raw(i)=score_AGR12_raw; +aggr_pro(i)=score_AGR12_pro; +aggr_mean(i)=score_AGR12_mean; +end; +end;",,11,"11, 12, 13, 14" +PELAGIE,harmonized,AGGR_EVAL_11,,,ATHLETE,outcome_ath,aggr_eval_,complete,final,,eval=2;,,11,11 +PELAGIE,harmonized,AGGR_INSTR_5,,,ATHLETE,outcome_ath,aggr_instr_,complete,final,,instr=47;,,5,5 +PELAGIE,harmonized,AGGR_INSTR_6,,,ATHLETE,outcome_ath,aggr_instr_,complete,final,,instr=47;,,6,6 +PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,ATHLETE,outcome_ath,aggr_age_,complete,final,,aggr_age_2=(b3-ddn_2021)/365.2422;,,2,2 +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_150=0;,,150,150 +PELAGIE,pelagie_q2,"B319,B308,B317,B306,B310,B314",,,ATHLETE,outcome_ath,aggr_avg_,partial,final,,"array AGR{6} b319 b308 b317 b306 b310 b314; +AGRi=N(of AGR{*}); AGRp=AGRi/6; +if AGRp>=0.75 then do; +score_AGR2_raw=sum(of AGR{*}); +score_AGR2_mean=score_AGR2_raw/AGRi; +score_AGR2_pro=round(score_AGR2_mean*6,1); +end; +else do; score_AGR2_raw=.; score_AGR2_mean=.; score_AGR2_pro=.; +end; +array aggr_raw (3) aggr_raw_1-aggr_raw_3; +array aggr_pro (3) aggr_pro_1-aggr_pro_3; +array aggr_mean (3) aggr_avg_1-aggr_avg_3; + +do i=1 to 3; +if round_SDQ_age2=i then do; +aggr_raw(i)=score_AGR2_raw; +aggr_pro(i)=score_AGR2_pro; +aggr_mean(i)=score_AGR2_mean; +end; +end;","Partial CBCL scale: +(1) how often would you say that your child has been rebellious or refused to obey? +(2) how often would you say your child has been in a fight? +(3) how often would you say that your child did not seem to feel remorse after misbehaving? +(4) how often would you say that your child has not changed their behaviour after being punished? +(5) how often would you say your child has physically attacked others? +(6) how often would you say that your child has hit, bitten or kicked other children?",1,"1, 2, 3" +PELAGIE,harmonized,AGGR_EVAL_13,,,ATHLETE,outcome_ath,aggr_eval_,complete,final,,eval=2;,,13,13 +PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE,outcome_ath,aggr_avg_,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; +AGRi=N(of AGR{*}); AGRp=AGRi/5; +if AGRp>=0.75 then do; +score_AGR6_raw=sum(of AGR{*}); +score_AGR6_mean=score_AGR6_raw/AGRi; +score_AGR6_pro=round(score_AGR6_mean*5,1); +end; +else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; +end; +array aggr_raw (4) aggr_raw_5-aggr_raw_8; +array aggr_pro (4) aggr_pro_5-aggr_pro_8; +array aggr_mean (4) aggr_avg_5-aggr_avg_8; + +do i=1 to 4; +if round_SDQ_age6=i+4 then do; +aggr_raw(i)=score_AGR6_raw; +aggr_pro(i)=score_AGR6_pro; +aggr_mean(i)=score_AGR6_mean; +end; +end;",,5,"5, 6, 7, 8" +PELAGIE,harmonized,AGGR_INSTR_7,,,ATHLETE,outcome_ath,aggr_instr_,complete,final,,instr=47;,,7,7 +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,ATHLETE,outcome_ath,aggr_age_,complete,final,,aggr_age_5=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,5,5 +PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE,outcome_ath,aggr_avg_,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; +AGRi=N(of AGR{*}); AGRp=AGRi/5; + +if AGRp>=0.75 then do; +score_AGR12_raw=sum(of AGR{*}); +score_AGR12_mean=score_AGR12_raw/AGRi; +score_AGR12_pro=round(score_AGR12_mean*5,1); +end; +else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; +end; + +array aggr_raw (4) aggr_raw_11-aggr_raw_14; +array aggr_pro (4) aggr_pro_11-aggr_pro_14; +array aggr_mean (4) aggr_avg_11-aggr_avg_14; + +do i=1 to 4; +if round_SDQ_age12=10+i then do; +aggr_raw(i)=score_AGR12_raw; +aggr_pro(i)=score_AGR12_pro; +aggr_mean(i)=score_AGR12_mean; +end; +end;",,11,"11, 12, 13, 14" +PELAGIE,harmonized,AGGR_EVAL_14,,,ATHLETE,outcome_ath,aggr_eval_,complete,final,,eval=2;,,14,14 +PELAGIE,harmonized,AGGR_INSTR_8,,,ATHLETE,outcome_ath,aggr_instr_,complete,final,,instr=47;,,8,8 +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,ATHLETE,outcome_ath,aggr_age_,complete,final,,aggr_age_6=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,6,6 +PELAGIE,pelagie_q2,"B319,B308,B317,B306,B310,B314",,,ATHLETE,outcome_ath,aggr_pro_,partial,final,,"array AGR{6} b319 b308 b317 b306 b310 b314; +AGRi=N(of AGR{*}); AGRp=AGRi/6; +if AGRp>=0.75 then do; +score_AGR2_raw=sum(of AGR{*}); +score_AGR2_mean=score_AGR2_raw/AGRi; +score_AGR2_pro=round(score_AGR2_mean*6,1); +end; +else do; score_AGR2_raw=.; score_AGR2_mean=.; score_AGR2_pro=.; +end; +array aggr_raw (3) aggr_raw_1-aggr_raw_3; +array aggr_pro (3) aggr_pro_1-aggr_pro_3; +array aggr_mean (3) aggr_avg_1-aggr_avg_3; + +do i=1 to 3; +if round_SDQ_age2=i then do; +aggr_raw(i)=score_AGR2_raw; +aggr_pro(i)=score_AGR2_pro; +aggr_mean(i)=score_AGR2_mean; +end; +end;","Partial CBCL scale: +(1) how often would you say that your child has been rebellious or refused to obey? +(2) how often would you say your child has been in a fight? +(3) how often would you say that your child did not seem to feel remorse after misbehaving? +(4) how often would you say that your child has not changed their behaviour after being punished? +(5) how often would you say your child has physically attacked others? +(6) how often would you say that your child has hit, bitten or kicked other children?",1,"1, 2, 3" +PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,ATHLETE,outcome_ath,aggr_age_,complete,final,,aggr_age_11=(DATE-ddn_2021)/365.2422;,,11,11 +PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE,outcome_ath,aggr_pro_,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; +AGRi=N(of AGR{*}); AGRp=AGRi/5; +if AGRp>=0.75 then do; +score_AGR6_raw=sum(of AGR{*}); +score_AGR6_mean=score_AGR6_raw/AGRi; +score_AGR6_pro=round(score_AGR6_mean*5,1); +end; +else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; +end; +array aggr_raw (4) aggr_raw_5-aggr_raw_8; +array aggr_pro (4) aggr_pro_5-aggr_pro_8; +array aggr_mean (4) aggr_avg_5-aggr_avg_8; + +do i=1 to 4; +if round_SDQ_age6=i+4 then do; +aggr_raw(i)=score_AGR6_raw; +aggr_pro(i)=score_AGR6_pro; +aggr_mean(i)=score_AGR6_mean; +end; +end;",,5,"5, 6, 7, 8" +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mepa_lod_t,complete,final,,BDD_phtalates_phenols$m_mepa_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.04,,1,1 +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,ATHLETE,outcome_ath,aggr_age_,complete,final,,aggr_age_7=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,7,7 +PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,LifeCycle,outcome,nvi_age_,complete,final,,nvi_age_6=(date_RDV-ddn_2021)/365.2422;,,6,6 +PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE,outcome_ath,aggr_pro_,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; +AGRi=N(of AGR{*}); AGRp=AGRi/5; + +if AGRp>=0.75 then do; +score_AGR12_raw=sum(of AGR{*}); +score_AGR12_mean=score_AGR12_raw/AGRi; +score_AGR12_pro=round(score_AGR12_mean*5,1); +end; +else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; +end; + +array aggr_raw (4) aggr_raw_11-aggr_raw_14; +array aggr_pro (4) aggr_pro_11-aggr_pro_14; +array aggr_mean (4) aggr_avg_11-aggr_avg_14; + +do i=1 to 4; +if round_SDQ_age12=10+i then do; +aggr_raw(i)=score_AGR12_raw; +aggr_pro(i)=score_AGR12_pro; +aggr_mean(i)=score_AGR12_mean; +end; +end;",,11,"11, 12, 13, 14" +PELAGIE,pelagie_GC_q11,DATECAST,maj_ddn_2021,DDN_2021,LifeCycle,outcome,asd_age_,complete,final,,asd_age_12=(datecast-ddn_2021)/365.2422;,,12,12 +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,ATHLETE,outcome_ath,aggr_age_,complete,final,,aggr_age_8=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;,,8,8 +PELAGIE,harmonized,NVI_INSTR_5,,,LifeCycle,outcome,nvi_instr_,partial,final,Only 1 task : Cubes to assess Perceptive Reasoning,nvi_instr_5=57;,Only 1 task : Cubes to assess Perceptive Reasoning,5,5 +PELAGIE,harmonized,AGGR_PRO_1,,,ATHLETE,outcome_ath,aggr_pc_,partial,final,,"CPT2$aggr_pc_1<-xtile(CPT2$aggr_pro_1, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children + +Partial CBCL scale: +(1) how often would you say that your child has been rebellious or refused to obey? +(2) how often would you say your child has been in a fight? +(3) how often would you say that your child did not seem to feel remorse after misbehaving? +(4) how often would you say that your child has not changed their behaviour after being punished? +(5) how often would you say your child has physically attacked others? +(6) how often would you say that your child has hit, bitten or kicked other children?",1,1 +PELAGIE,harmonized,AGGR_PRO_2,,,ATHLETE,outcome_ath,aggr_pc_,partial,final,,"CPT2$aggr_pc_2<-xtile(CPT2$aggr_pro_2, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children + +Partial CBCL scale: +(1) how often would you say that your child has been rebellious or refused to obey? +(2) how often would you say your child has been in a fight? +(3) how often would you say that your child did not seem to feel remorse after misbehaving? +(4) how often would you say that your child has not changed their behaviour after being punished? +(5) how often would you say your child has physically attacked others? +(6) how often would you say that your child has hit, bitten or kicked other children?",2,2 +PELAGIE,harmonized,AGGR_INSTR_2,,,ATHLETE,outcome_ath,aggr_instr_,partial,final,,instr=13;,"Partial CBCL scale: +(1) how often would you say that your child has been rebellious or refused to obey? +(2) how often would you say your child has been in a fight? +(3) how often would you say that your child did not seem to feel remorse after misbehaving? +(4) how often would you say that your child has not changed their behaviour after being punished? +(5) how often would you say your child has physically attacked others? +(6) how often would you say that your child has hit, bitten or kicked other children?",2,2 +PELAGIE,harmonized,AGGR_INSTR_11,,,ATHLETE,outcome_ath,aggr_instr_,complete,final,,instr=47;,,11,11 +PELAGIE,harmonized,AGGR_INSTR_12,,,ATHLETE,outcome_ath,aggr_instr_,complete,final,,instr=47;,,12,12 +PELAGIE,harmonized,AGGR_INSTR_13,,,ATHLETE,outcome_ath,aggr_instr_,complete,final,,instr=47;,,13,13 +PELAGIE,pelagie_GC_q11,"Q1CAST1_N,Q1CAST2_N,Q1CAST5_N,Q1CAST6,Q1CAST7,Q1CAST8_N,Q1CAST9,Q1CAST10_N,Q1CAST11_N,Q1CAST13_N,Q1CAST14,Q1CAST15_N,Q1CAST16_N,Q1CAST17_N,Q1CAST18,Q1CAST19,Q1CAST20,Q1CAST21_N,Q1CAST23_N,Q1CAST24_N,Q1CAST25,Q1CAST27_N,Q1CAST28,Q1CAST29,Q1CAST30,Q1CAST31_N,Q1CAST32,Q1CAST34,Q1CAST35_N,Q1CAST36,Q1CAST37",,,LifeCycle,outcome,asd_raw_,complete,final,"31 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)","array CAST{31} Q1CAST1_n Q1CAST2_n Q1CAST5_n Q1CAST6 Q1CAST7 Q1CAST8_n Q1CAST9 Q1CAST10_n Q1CAST11_n Q1CAST13_n Q1CAST14 Q1CAST15_n +Q1CAST16_n Q1CAST17_n Q1CAST18 Q1CAST19 Q1CAST20 Q1CAST21_n Q1CAST23_n Q1CAST24_n Q1CAST25 Q1CAST27_n Q1CAST28 Q1CAST29 Q1CAST30 Q1CAST31_n +Q1CAST32 Q1CAST34 Q1CAST35_n Q1CAST36 Q1CAST37 ; + +CASTi=N(of CAST{*}); CASTp=CASTi/31; + +if CASTp>=0.75 then do; +CAST12_raw=sum(of CAST{*}); +CAST12_mean=CAST12_raw/CASTi; +CAST12_pro=round(CAST12_mean*31,1); +end;","31 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)",11,11 +PELAGIE,pelagie_GC_q11,"Q1CAST1_N,Q1CAST2_N,Q1CAST5_N,Q1CAST6,Q1CAST7,Q1CAST8_N,Q1CAST9,Q1CAST10_N,Q1CAST11_N,Q1CAST13_N,Q1CAST14,Q1CAST15_N,Q1CAST16_N,Q1CAST17_N,Q1CAST18,Q1CAST19,Q1CAST20,Q1CAST21_N,Q1CAST23_N,Q1CAST24_N,Q1CAST25,Q1CAST27_N,Q1CAST28,Q1CAST29,Q1CAST30,Q1CAST31_N,Q1CAST32,Q1CAST34,Q1CAST35_N,Q1CAST36,Q1CAST37",,,LifeCycle,outcome,asd_raw_,complete,final,"32 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)","array CAST{31} Q1CAST1_n Q1CAST2_n Q1CAST5_n Q1CAST6 Q1CAST7 Q1CAST8_n Q1CAST9 Q1CAST10_n Q1CAST11_n Q1CAST13_n Q1CAST14 Q1CAST15_n +Q1CAST16_n Q1CAST17_n Q1CAST18 Q1CAST19 Q1CAST20 Q1CAST21_n Q1CAST23_n Q1CAST24_n Q1CAST25 Q1CAST27_n Q1CAST28 Q1CAST29 Q1CAST30 Q1CAST31_n +Q1CAST32 Q1CAST34 Q1CAST35_n Q1CAST36 Q1CAST37 ; + +CASTi=N(of CAST{*}); CASTp=CASTi/31; + +if CASTp>=0.75 then do; +CAST12_raw=sum(of CAST{*}); +CAST12_mean=CAST12_raw/CASTi; +CAST12_pro=round(CAST12_mean*31,1); +end;","32 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)",12,12 +PELAGIE,pelagie_GC_q11,"Q1CAST1_N,Q1CAST2_N,Q1CAST5_N,Q1CAST6,Q1CAST7,Q1CAST8_N,Q1CAST9,Q1CAST10_N,Q1CAST11_N,Q1CAST13_N,Q1CAST14,Q1CAST15_N,Q1CAST16_N,Q1CAST17_N,Q1CAST18,Q1CAST19,Q1CAST20,Q1CAST21_N,Q1CAST23_N,Q1CAST24_N,Q1CAST25,Q1CAST27_N,Q1CAST28,Q1CAST29,Q1CAST30,Q1CAST31_N,Q1CAST32,Q1CAST34,Q1CAST35_N,Q1CAST36,Q1CAST37",,,LifeCycle,outcome,asd_pro_,complete,final,"33 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)","array CAST{31} Q1CAST1_n Q1CAST2_n Q1CAST5_n Q1CAST6 Q1CAST7 Q1CAST8_n Q1CAST9 Q1CAST10_n Q1CAST11_n Q1CAST13_n Q1CAST14 Q1CAST15_n +Q1CAST16_n Q1CAST17_n Q1CAST18 Q1CAST19 Q1CAST20 Q1CAST21_n Q1CAST23_n Q1CAST24_n Q1CAST25 Q1CAST27_n Q1CAST28 Q1CAST29 Q1CAST30 Q1CAST31_n +Q1CAST32 Q1CAST34 Q1CAST35_n Q1CAST36 Q1CAST37 ; + +CASTi=N(of CAST{*}); CASTp=CASTi/31; + +if CASTp>=0.75 then do; +CAST12_raw=sum(of CAST{*}); +CAST12_mean=CAST12_raw/CASTi; +CAST12_pro=round(CAST12_mean*31,1); +end;","33 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)",11,11 +PELAGIE,harmonized,ASD_INSTR_11,,,LifeCycle,outcome,asd_instr_,complete,final,,asd_instr_11=12;,,11,11 +PELAGIE,harmonized,ASD_INSTR_12,,,LifeCycle,outcome,asd_instr_,complete,final,,asd_instr_12=12;,,12,12 +PELAGIE,BDD_phtalates_phenols,"BP_F,SGURINEF",,,ATHLETE,chemicals_ath,m_bpf_raw_t,complete,final,,BDD_phtalates_phenols$m_bpf_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$BP_F,,2,2 +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_151=0;,,151,151 +PELAGIE,pelagie_GC_q11,"Q1CAST1_N,Q1CAST2_N,Q1CAST5_N,Q1CAST6,Q1CAST7,Q1CAST8_N,Q1CAST9,Q1CAST10_N,Q1CAST11_N,Q1CAST13_N,Q1CAST14,Q1CAST15_N,Q1CAST16_N,Q1CAST17_N,Q1CAST18,Q1CAST19,Q1CAST20,Q1CAST21_N,Q1CAST23_N,Q1CAST24_N,Q1CAST25,Q1CAST27_N,Q1CAST28,Q1CAST29,Q1CAST30,Q1CAST31_N,Q1CAST32,Q1CAST34,Q1CAST35_N,Q1CAST36,Q1CAST37",,,LifeCycle,outcome,asd_pro_,complete,final,"34 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)","array CAST{31} Q1CAST1_n Q1CAST2_n Q1CAST5_n Q1CAST6 Q1CAST7 Q1CAST8_n Q1CAST9 Q1CAST10_n Q1CAST11_n Q1CAST13_n Q1CAST14 Q1CAST15_n +Q1CAST16_n Q1CAST17_n Q1CAST18 Q1CAST19 Q1CAST20 Q1CAST21_n Q1CAST23_n Q1CAST24_n Q1CAST25 Q1CAST27_n Q1CAST28 Q1CAST29 Q1CAST30 Q1CAST31_n +Q1CAST32 Q1CAST34 Q1CAST35_n Q1CAST36 Q1CAST37 ; + +CASTi=N(of CAST{*}); CASTp=CASTi/31; + +if CASTp>=0.75 then do; +CAST12_raw=sum(of CAST{*}); +CAST12_mean=CAST12_raw/CASTi; +CAST12_pro=round(CAST12_mean*31,1); +end;","34 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)",12,12 +PELAGIE,pelagie_GC_q11,"Q1CAST1_N,Q1CAST2_N,Q1CAST5_N,Q1CAST6,Q1CAST7,Q1CAST8_N,Q1CAST9,Q1CAST10_N,Q1CAST11_N,Q1CAST13_N,Q1CAST14,Q1CAST15_N,Q1CAST16_N,Q1CAST17_N,Q1CAST18,Q1CAST19,Q1CAST20,Q1CAST21_N,Q1CAST23_N,Q1CAST24_N,Q1CAST25,Q1CAST27_N,Q1CAST28,Q1CAST29,Q1CAST30,Q1CAST31_N,Q1CAST32,Q1CAST34,Q1CAST35_N,Q1CAST36,Q1CAST37",,,LifeCycle,outcome,asd_avg_,complete,final,"35 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)","array CAST{31} Q1CAST1_n Q1CAST2_n Q1CAST5_n Q1CAST6 Q1CAST7 Q1CAST8_n Q1CAST9 Q1CAST10_n Q1CAST11_n Q1CAST13_n Q1CAST14 Q1CAST15_n +Q1CAST16_n Q1CAST17_n Q1CAST18 Q1CAST19 Q1CAST20 Q1CAST21_n Q1CAST23_n Q1CAST24_n Q1CAST25 Q1CAST27_n Q1CAST28 Q1CAST29 Q1CAST30 Q1CAST31_n +Q1CAST32 Q1CAST34 Q1CAST35_n Q1CAST36 Q1CAST37 ; + +CASTi=N(of CAST{*}); CASTp=CASTi/31; + +if CASTp>=0.75 then do; +CAST12_raw=sum(of CAST{*}); +CAST12_mean=CAST12_raw/CASTi; +CAST12_pro=round(CAST12_mean*31,1); +end;","35 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)",11,11 +PELAGIE,pelagie_GC_q11,"Q1CAST1_N,Q1CAST2_N,Q1CAST5_N,Q1CAST6,Q1CAST7,Q1CAST8_N,Q1CAST9,Q1CAST10_N,Q1CAST11_N,Q1CAST13_N,Q1CAST14,Q1CAST15_N,Q1CAST16_N,Q1CAST17_N,Q1CAST18,Q1CAST19,Q1CAST20,Q1CAST21_N,Q1CAST23_N,Q1CAST24_N,Q1CAST25,Q1CAST27_N,Q1CAST28,Q1CAST29,Q1CAST30,Q1CAST31_N,Q1CAST32,Q1CAST34,Q1CAST35_N,Q1CAST36,Q1CAST37",,,LifeCycle,outcome,asd_avg_,complete,final,"36 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)","array CAST{31} Q1CAST1_n Q1CAST2_n Q1CAST5_n Q1CAST6 Q1CAST7 Q1CAST8_n Q1CAST9 Q1CAST10_n Q1CAST11_n Q1CAST13_n Q1CAST14 Q1CAST15_n +Q1CAST16_n Q1CAST17_n Q1CAST18 Q1CAST19 Q1CAST20 Q1CAST21_n Q1CAST23_n Q1CAST24_n Q1CAST25 Q1CAST27_n Q1CAST28 Q1CAST29 Q1CAST30 Q1CAST31_n +Q1CAST32 Q1CAST34 Q1CAST35_n Q1CAST36 Q1CAST37 ; + +CASTi=N(of CAST{*}); CASTp=CASTi/31; + +if CASTp>=0.75 then do; +CAST12_raw=sum(of CAST{*}); +CAST12_mean=CAST12_raw/CASTi; +CAST12_pro=round(CAST12_mean*31,1); +end;","36 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)",12,12 +PELAGIE,harmonized,ASD_PRO_11,,,LifeCycle,outcome,asd_pc_,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"CAST$asd_pc_11<-xtile(CAST$asd_pro_11, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,11,11 +PELAGIE,pelagie_GC_q11,DATECAST,maj_ddn_2021,DDN_2021,LifeCycle,outcome,asd_age_,complete,final,,asd_age_11=(datecast-ddn_2021)/365.2422;,,11,11 +PELAGIE,harmonized,NVI_PRO_6,,,LifeCycle,outcome,nvi_std_,partial,final,Standardized variables were generated only for years where information on prorated score was available for more than 10 children,nvi_std_6=((nvi_pro_6-11.2342007)/2.6047068)*15 + 100;,Standardized variables were generated only for years where information on prorated score was available for more than 10 children,6,6 +PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,LifeCycle,outcome,nvi_age_,complete,final,,nvi_age_5=(date_RDV-ddn_2021)/365.2422;,,5,5 +PELAGIE,pepsy,"WISCMC,WISCSLC",,,LifeCycle,outcome,wm_avg_,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,"array WM{2} WISCMC WISCSLC; WMi=N(of WM{*}); WMp=WMi/2; +if WMp>=0.75 then do; +WM12_raw=sum(of WM{*}); +WM12_mean=WM12_raw/WMi; +WM12_pro=round(WM12_mean*2,1); +end;",Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,5,"5, 6" +PELAGIE,harmonized,WM_PRO_6,,,LifeCycle,outcome,wm_pc_,partial,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"WISC$wm_pc_6<-xtile(WISC$wm_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,6,6 +PELAGIE,harmonized,OMISSION,,,ATHLETE,outcome_ath,att_om_std_,partial,final,,omission_std=omission/177;,"Test=R-CPT90. 3 target items were excluded (Items 1, 2 and 12) because of technical errors (N=177 target items instead of 200, N=20 non-target items)",6,6 +PELAGIE,harmonized,LAN_INSTR_6,,,LifeCycle,outcome,lan_instr_,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index",lan_instr_6=59;,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index",6,6 +PELAGIE,harmonized,WM_PRO_6,,,LifeCycle,outcome,wm_std_,partial,final,Standardized variables were generated only for years where information on prorated score was available for more than 10 children,wm_std_6=((wm_pro_6-22.6848249)/4.5780859)*15 + 100;,Standardized variables were generated only for years where information on prorated score was available for more than 10 children,6,6 +PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,LifeCycle,outcome,wm_age_,complete,final,,wm_age_5=(date_RDV-ddn_2021)/365.2422;,,5,5 +PELAGIE,harmonized,WM_INSTR_5,,,LifeCycle,outcome,wm_instr_,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,wm_instr_5=59;,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,5,5 +PELAGIE,pepsy,"WISCS,WISCV,WISCCO",,,LifeCycle,outcome,lan_raw_,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index","array L{3} WISCS WISCV WISCco; Li=N(of L{*}); Lp=Li/3; + if Lp>=0.75 then do; +L12_raw=sum(of L{*}); +L12_mean=L12_raw/Li; +L12_pro=round(L12_mean*3,1); +end;","Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index",5,"5, 6" +PELAGIE,pepsy,"WISCS,WISCV,WISCCO",,,LifeCycle,outcome,lan_pro_,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index","array L{3} WISCS WISCV WISCco; Li=N(of L{*}); Lp=Li/3; + if Lp>=0.75 then do; +L12_raw=sum(of L{*}); +L12_mean=L12_raw/Li; +L12_pro=round(L12_mean*3,1); +end;","Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index",5,"5, 6" +PELAGIE,pepsy,"WISCS,WISCV,WISCCO",,,LifeCycle,outcome,lan_avg_,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index","array L{3} WISCS WISCV WISCco; Li=N(of L{*}); Lp=Li/3; + if Lp>=0.75 then do; +L12_raw=sum(of L{*}); +L12_mean=L12_raw/Li; +L12_pro=round(L12_mean*3,1); +end;","Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index",5,"5, 6" +PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle,outcome,hipcircmes_,complete,final,,hipcircmes_155=0;,,155,155 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_cxminp_lod_t,complete,final,,BDD_phtalates_phenols$m_cxminp_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.70,,1,1 +PELAGIE,harmonized,LAN_PRO_6,,,LifeCycle,outcome,lan_pc_,partial,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"WISC$lan_pc_6<-xtile(WISC$lan_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children,6,6 +PELAGIE,harmonized,LAN_PRO_6,,,LifeCycle,outcome,lan_std_,partial,final,Standardized variables were generated only for years where information on prorated score was available for more than 10 children,lan_std_6=((lan_pro_6-33.4855072)/7.6231566)*15 + 100;,Standardized variables were generated only for years where information on prorated score was available for more than 10 children,6,6 +PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,LifeCycle,outcome,lan_age_,complete,final,,lan_age_5=(date_RDV-ddn_2021)/365.2422;,,5,5 +PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,LifeCycle,outcome,lan_age_,complete,final,,lan_age_6=(date_RDV-ddn_2021)/365.2422;,,6,6 +PELAGIE,pepsy,OMISSION,,,ATHLETE,outcome_ath,att_om_raw_,partial,final,,"proc sql; +create table ATTENTION as select unique id, sum(target) as nbtarget, sum(non_target) as nbntarget, + sum(correct) as correct, sum(target_ok) as target, sum(non_target_ok) as ntarget, + sum (omission) as omission, sum(omission_non_target) as commission +from pep.CPT2018COMPIL +group by id; +run; quit;","Test=R-CPT90. 3 target items were excluded (Items 1, 2 and 12) because of technical errors (N=177 target items instead of 200, N=20 non-target items)",5,"5, 6" +PELAGIE,pepsy,OMISSION_NON_TARGET,,,ATHLETE,outcome_ath,att_com_raw_,partial,final,,"proc sql; +create table ATTENTION as select unique id, sum(target) as nbtarget, sum(non_target) as nbntarget, + sum(correct) as correct, sum(target_ok) as target, sum(non_target_ok) as ntarget, + sum (omission) as omission, sum(omission_non_target) as commission +from pep.CPT2018COMPIL +group by id; +run; quit;",Test=R-CPT90. 20 non-target items,5,"5, 6" +PELAGIE,BDD_phtalates_phenols,"MIBP,SGURINEF",,,ATHLETE,chemicals_ath,m_mibp_raw_t,complete,final,,BDD_phtalates_phenols$m_mibp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MiBP,,1,1 +PELAGIE,harmonized,ATT_OM_STD_6,,,ATHLETE,outcome_ath,att_om_pc_,partial,final,,"ATT$att_om_pc_6<-xtile(ATT$att_om_std_6, n=100)",Percentile variables were generated only for years where information on standardized score was available for more than 10 children,6,6 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_bpf_lod_t,complete,final,,BDD_phtalates_phenols$m_bpf_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20,,1,1 +PELAGIE,BDD_phtalates_phenols,"TRCS,SGURINEF",,,ATHLETE,chemicals_ath,m_trcs_raw_t,complete,final,,BDD_phtalates_phenols$m_trcs_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$TRCS,,1,1 +PELAGIE,BDD_phtalates_phenols,"TRCS,SGURINEF",,,ATHLETE,chemicals_ath,m_trcs_raw_t,complete,final,,BDD_phtalates_phenols$m_trcs_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$TRCS,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_trcs_lod_t,complete,final,,BDD_phtalates_phenols$m_trcs_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.04,,2,2 +PELAGIE,BDD_phtalates_phenols,"MEP,SGURINEF",,,ATHLETE,chemicals_ath,m_mep_raw_t,complete,final,,BDD_phtalates_phenols$m_mep_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MEP,,1,1 +PELAGIE,BDD_phtalates_phenols,"MEP,SGURINEF",,,ATHLETE,chemicals_ath,m_mep_raw_t,complete,final,,BDD_phtalates_phenols$m_mep_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MEP,,2,2 +PELAGIE,BDD_phtalates_phenols,"MEOHP,SGURINEF",,,ATHLETE,chemicals_ath,m_meohp_raw_t,complete,final,,BDD_phtalates_phenols$m_meohp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MEOHP,,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mep_lod_t,complete,final,,"BDD_phtalates_phenols$m_mep_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 +BDD_phtalates_phenols$m_mep_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.80",,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mep_lod_t,complete,final,,"BDD_phtalates_phenols$m_mep_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 + +BDD_phtalates_phenols$m_mep_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20",,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mibp_lod_t,complete,final,,"BDD_phtalates_phenols$m_mibp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 + +BDD_phtalates_phenols$m_mibp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.30",,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mibp_lod_t,complete,final,,"BDD_phtalates_phenols$m_mibp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 + +BDD_phtalates_phenols$m_mibp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.80",,2,2 +PELAGIE,BDD_phtalates_phenols,"MNBP,SGURINEF",,,ATHLETE,chemicals_ath,m_mnbp_raw_t,complete,final,,BDD_phtalates_phenols$m_mnbp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MnBP,,1,1 +PELAGIE,BDD_phtalates_phenols,"MNBP,SGURINEF",,,ATHLETE,chemicals_ath,m_mnbp_raw_t,complete,final,,BDD_phtalates_phenols$m_mnbp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MnBP,,2,2 +PELAGIE,BDD_phtalates_phenols,"MEOHP,SGURINEF",,,ATHLETE,chemicals_ath,m_meohp_raw_t,complete,final,,BDD_phtalates_phenols$m_meohp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MEOHP,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mnbp_lod_t,complete,final,,"BDD_phtalates_phenols$m_mnbp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 +BDD_phtalates_phenols$m_mnbp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.60",,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mnbp_lod_t,complete,final,,"BDD_phtalates_phenols$m_mnbp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 + +BDD_phtalates_phenols$m_mnbp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.60",,2,2 +PELAGIE,BDD_phtalates_phenols,"MBZP,SGURINEF",,,ATHLETE,chemicals_ath,m_mbzp_raw_t,complete,final,,BDD_phtalates_phenols$m_mbzp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MBzP,,1,1 +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_152=0;,,152,152 +PELAGIE,BDD_phtalates_phenols,"MBZP,SGURINEF",,,ATHLETE,chemicals_ath,m_mbzp_raw_t,complete,final,,BDD_phtalates_phenols$m_mbzp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MBzP,,2,2 +PELAGIE,BDD_phtalates_phenols,"CXMINP,SGURINEF",,,ATHLETE,chemicals_ath,m_cxminp_raw_t,complete,final,,BDD_phtalates_phenols$m_cxminp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$cxMiNP,,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mbzp_lod_t,complete,final,,"BDD_phtalates_phenols$m_mbzp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 + +BDD_phtalates_phenols$m_mbzp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.30",,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mbzp_lod_t,complete,final,,"BDD_phtalates_phenols$m_mbzp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 + +BDD_phtalates_phenols$m_mbzp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.30",,2,2 +PELAGIE,BDD_phtalates_phenols,"MEHP,SGURINEF",,,ATHLETE,chemicals_ath,m_mehp_raw_t,complete,final,,BDD_phtalates_phenols$m_mehp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MEHP,,1,1 +PELAGIE,BDD_phtalates_phenols,"MEHP,SGURINEF",,,ATHLETE,chemicals_ath,m_mehp_raw_t,complete,final,,BDD_phtalates_phenols$m_mehp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MEHP,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mehp_lod_t,complete,final,,"BDD_phtalates_phenols$m_mehp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 +BDD_phtalates_phenols$m_mehp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-1.20",,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_ohminp_lod_t,complete,final,,BDD_phtalates_phenols$m_ohminp_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mehp_lod_t,complete,final,,"BDD_phtalates_phenols$m_mehp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 + +BDD_phtalates_phenols$m_mehp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-1.20",,2,2 +PELAGIE,BDD_phtalates_phenols,"MEHHP,SGURINEF",,,ATHLETE,chemicals_ath,m_mehhp_raw_t,complete,final,,BDD_phtalates_phenols$m_mehhp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MEHHP,,1,1 +PELAGIE,BDD_phtalates_phenols,"MEHHP,SGURINEF",,,ATHLETE,chemicals_ath,m_mehhp_raw_t,complete,final,,BDD_phtalates_phenols$m_mehhp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MEHHP,,2,2 +PELAGIE,BDD_phtalates_phenols,"CXMINP,SGURINEF",,,ATHLETE,chemicals_ath,m_cxminp_raw_t,complete,final,,BDD_phtalates_phenols$m_cxminp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$cxMiNP,,2,2 +PELAGIE,BDD_phtalates_phenols,"OHMPHP,SGURINEF",,,ATHLETE,chemicals_ath,m_ohmphp_raw_t,complete,final,,BDD_phtalates_phenols$m_ohmphp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$ohMPHP,,1,1 +PELAGIE,BDD_phtalates_phenols,"OHMINP,SGURINEF",,,ATHLETE,chemicals_ath,m_ohminp_raw_t,complete,final,,BDD_phtalates_phenols$m_ohminp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$ohMiNP,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mehhp_lod_t,complete,final,,"BDD_phtalates_phenols$m_mehhp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 + +BDD_phtalates_phenols$m_mehhp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.70",,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mehhp_lod_t,complete,final,,"BDD_phtalates_phenols$m_mehhp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 + +BDD_phtalates_phenols$m_mehhp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.70",,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_meohp_lod_t,complete,final,,"BDD_phtalates_phenols$m_meohp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 +BDD_phtalates_phenols$m_meohp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.70",,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_meohp_lod_t,complete,final,,"BDD_phtalates_phenols$m_meohp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 +BDD_phtalates_phenols$m_meohp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.70",,2,2 +PELAGIE,BDD_phtalates_phenols,"MECPP,SGURINEF",,,ATHLETE,chemicals_ath,m_mecpp_raw_t,complete,final,,BDD_phtalates_phenols$m_mecpp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MECPP,,1,1 +PELAGIE,BDD_phtalates_phenols,"MECPP,SGURINEF",,,ATHLETE,chemicals_ath,m_mecpp_raw_t,complete,final,,BDD_phtalates_phenols$m_mecpp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MECPP,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mecpp_lod_t,complete,final,,"BDD_phtalates_phenols$m_mecpp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.70 +BDD_phtalates_phenols$m_mecpp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.60",,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mecpp_lod_t,complete,final,,"BDD_phtalates_phenols$m_mecpp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.70 +BDD_phtalates_phenols$m_mecpp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.60",,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_ohminp_lod_t,complete,final,,BDD_phtalates_phenols$m_ohminp_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20,,1,1 +PELAGIE,BDD_phtalates_phenols,"OXOMINP,SGURINEF",,,ATHLETE,chemicals_ath,m_oxominp_raw_t,complete,final,,BDD_phtalates_phenols$m_oxominp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$oxoMiNP,,1,1 +PELAGIE,BDD_phtalates_phenols,"OXOMINP,SGURINEF",,,ATHLETE,chemicals_ath,m_oxominp_raw_t,complete,final,,BDD_phtalates_phenols$m_oxominp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$oxoMiNP,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_oxominp_lod_t,complete,final,,BDD_phtalates_phenols$m_oxominp_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20,,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_oxominp_lod_t,complete,final,,BDD_phtalates_phenols$m_oxominp_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20,,2,2 +PELAGIE,BDD_OP,CHILDDMTP,,,ATHLETE,chemicals_ath,c_dmtp_raw_,complete,final,,BDD_OP$c_dmtp_raw_6<-BDD_OP$CHILDDMTP,,6,6 +PELAGIE,BDD_phtalates_phenols,"OHMPHP,SGURINEF",,,ATHLETE,chemicals_ath,m_ohmphp_raw_t,complete,final,,BDD_phtalates_phenols$m_ohmphp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$ohMPHP,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_ohmphp_lod_t,complete,final,,BDD_phtalates_phenols$m_ohmphp_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20,,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_ohmphp_lod_t,complete,final,,BDD_phtalates_phenols$m_ohmphp_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20,,2,2 +PELAGIE,BDD_phtalates_phenols,"OHMINCH,SGURINEF",,,ATHLETE,chemicals_ath,m_ohminch_raw_t,complete,final,,BDD_phtalates_phenols$m_ohminch_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$ohMINCH,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_ohminch_lod_t,complete,final,,BDD_phtalates_phenols$m_ohminch_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20,,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_ohminch_lod_t,complete,final,,BDD_phtalates_phenols$m_ohminch_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20,,2,2 +PELAGIE,BDD_perfluores,PFDA,,,ATHLETE,chemicals_ath,c_pfda_raw_birth,partial,final,from cord blood,BDD_perfluores$c_pfda_raw_birth<-BDD_perfluores$PFDA,from cord blood,, +PELAGIE,BDD_phtalates_phenols,"OXOMINCH,SGURINEF",,,ATHLETE,chemicals_ath,m_oxominch_raw_t,complete,final,,BDD_phtalates_phenols$m_oxominch_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$oxoMINCH,,1,1 +PELAGIE,BDD_phtalates_phenols,"OXOMINCH,SGURINEF",,,ATHLETE,chemicals_ath,m_oxominch_raw_t,complete,final,,BDD_phtalates_phenols$m_oxominch_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$oxoMINCH,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_oxominch_lod_t,complete,final,,BDD_phtalates_phenols$m_oxominch_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20,,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_oxominch_lod_t,complete,final,,BDD_phtalates_phenols$m_oxominch_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20,,2,2 +PELAGIE,BDD_phtalates_phenols,"MNPEP,SGURINEF",,,ATHLETE,chemicals_ath,m_mnpep_raw_t,complete,final,,BDD_phtalates_phenols$m_mnpep_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MnPeP,,1,1 +PELAGIE,BDD_phtalates_phenols,"MNPEP,SGURINEF",,,ATHLETE,chemicals_ath,m_mnpep_raw_t,complete,final,,BDD_phtalates_phenols$m_mnpep_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MnPeP,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mnpep_lod_t,complete,final,,BDD_phtalates_phenols$m_mnpep_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20,,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mnpep_lod_t,complete,final,,BDD_phtalates_phenols$m_mnpep_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20,,2,2 +PELAGIE,BDD_phtalates_phenols,"MCHP,SGURINEF",,,ATHLETE,chemicals_ath,m_mchp_raw_t,complete,final,,BDD_phtalates_phenols$m_mchp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MCHP,,1,1 +PELAGIE,BDD_phtalates_phenols,"MCHP,SGURINEF",,,ATHLETE,chemicals_ath,m_mchp_raw_t,complete,final,,BDD_phtalates_phenols$m_mchp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MCHP,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mchp_lod_t,complete,final,,BDD_phtalates_phenols$m_mchp_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20,,2,2 +PELAGIE,BDD_phtalates_phenols,"MNOP,SGURINEF",,,ATHLETE,chemicals_ath,m_mnop_raw_t,complete,final,,BDD_phtalates_phenols$m_mnop_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MnOP,,1,1 +PELAGIE,BDD_OP,"DMTP,SGURINEF",,,ATHLETE,chemicals_ath,m_dmtp_raw_t,complete,final,,"BDD_OP$m_dmtp_raw_t1<-ifelse(!is.na(BDD_OP$DMTP) & BDD_OP$SGurineF<=10,BDD_OP$DMTP,NA)",,1,1 +PELAGIE,BDD_phtalates_phenols,"MNOP,SGURINEF",,,ATHLETE,chemicals_ath,m_mnop_raw_t,complete,final,,BDD_phtalates_phenols$m_mnop_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MnOP,,2,2 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mnop_lod_t,complete,final,,BDD_phtalates_phenols$m_mnop_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.50,,1,1 +PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE,chemicals_ath,m_mnop_lod_t,complete,final,,BDD_phtalates_phenols$m_mnop_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.50,,2,2 +PELAGIE,BDD_perfluores,PFHXS,,,ATHLETE,chemicals_ath,c_pfhxs_raw_birth,partial,final,from cord blood,BDD_perfluores$c_pfhxs_raw_birth<-BDD_perfluores$PFHxS,from cord blood,, +PELAGIE,harmonized,C_PFHXS_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pfhxs_lod_birth,partial,final,from cord blood,"BDD_perfluores$c_pfhxs_lod_birth<-ifelse(!is.na(BDD_perfluores$c_pfhxs_raw_birth),0.063,NA)",from cord blood,, +PELAGIE,BDD_perfluores,Q12_PERFLUOROHEXANE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pfhxs_raw_,complete,final,,"BDD_perfluores$c_pfhxs_raw_12<-ifelse(BDD_perfluores$age_exam<13,BDD_perfluores$Q12_Perfluorohexane_brut,NA)",,12,12 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFHXS_RAW_12Y,ATHLETE,chemicals_ath,c_pfhxs_lod_,complete,final,,"BDD_perfluores$c_pfhxs_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfhxs_raw_12y) & BDD_perfluores$EX3==2,0.03,NA) + +BDD_perfluores$c_pfhxs_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfhxs_raw_12y) & BDD_perfluores$EX3==1,0.06,BDD_perfluores$c_pfhxs_lod_12y)",,12,12 +PELAGIE,BDD_perfluores,PFOA,,,ATHLETE,chemicals_ath,c_pfoa_raw_birth,partial,final,from cord blood,BDD_perfluores$c_pfoa_raw_birth<-BDD_perfluores$PFOA,from cord blood,, +PELAGIE,BDD_perfluores,Q12_PERFLUOROHEXANE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pfhxs_raw_,complete,final,,"BDD_perfluores$c_pfhxs_raw_13<-ifelse(BDD_perfluores$age_exam>=13,BDD_perfluores$Q12_Perfluorohexane_brut,NA)",,13,13 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFHXS_RAW_13Y,ATHLETE,chemicals_ath,c_pfhxs_lod_,complete,final,,"BDD_perfluores$c_pfhxs_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfhxs_raw_13y) & BDD_perfluores$EX3==2,0.03,NA) + +BDD_perfluores$c_pfhxs_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfhxs_raw_13y) & BDD_perfluores$EX3==1,0.06,BDD_perfluores$c_pfhxs_lod_13y)",,13,13 +PELAGIE,BDD_perfluores,PFOS,,,ATHLETE,chemicals_ath,c_pfos_raw_birth,partial,final,from cord blood,BDD_perfluores$c_pfos_raw_birth<-BDD_perfluores$PFOS,from cord blood,, +PELAGIE,harmonized,C_PFOS_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pfos_lod_birth,partial,final,from cord blood,"BDD_perfluores$c_pfos_lod_birth<-ifelse(!is.na(BDD_perfluores$c_pfos_raw_birth),0.16,NA)",from cord blood,, +PELAGIE,BDD_perfluores,Q12_PERFLUOROOCTANE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pfos_raw_,complete,final,,"BDD_perfluores$c_pfos_raw_12<-ifelse(BDD_perfluores$age_exam<13,BDD_perfluores$Q12_Perfluorooctane_brut,NA)",,12,12 +PELAGIE,BDD_perfluores,Q12_PERFLUORODECANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pfda_raw_,complete,final,,"BDD_perfluores$c_pfda_raw_12<-ifelse(BDD_perfluores$age_exam<13,BDD_perfluores$Q12_perfluorodecanoique_brut,NA)",,12,12 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFOS_RAW_12Y,ATHLETE,chemicals_ath,c_pfos_lod_,complete,final,,"BDD_perfluores$c_pfos_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfos_raw_12y) & BDD_perfluores$EX3==2,0.07,NA) +BDD_perfluores$c_pfos_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfos_raw_12y) & BDD_perfluores$EX3==1,0.2,BDD_perfluores$c_pfos_lod_12y)",,12,12 +PELAGIE,BDD_perfluores,Q12_PERFLUOROOCTANE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pfos_raw_,complete,final,,"BDD_perfluores$c_pfos_raw_13<-ifelse(BDD_perfluores$age_exam>=13,BDD_perfluores$Q12_Perfluorooctane_brut,NA)",,13,13 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFOS_RAW_13Y,ATHLETE,chemicals_ath,c_pfos_lod_,complete,final,,"BDD_perfluores$c_pfos_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfos_raw_13y) & BDD_perfluores$EX3==2,0.07,NA) + +BDD_perfluores$c_pfos_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfos_raw_13y) & BDD_perfluores$EX3==1,0.2,BDD_perfluores$c_pfos_lod_13y)",,13,13 +PELAGIE,harmonized,C_PFOA_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pfoa_lod_birth,partial,final,from cord blood,"BDD_perfluores$c_pfoa_lod_birth<-ifelse(!is.na(BDD_perfluores$c_pfoa_raw_birth),0.066,NA)",from cord blood,, +PELAGIE,BDD_perfluores,Q12_PERFLUOROOCTANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pfoa_raw_,complete,final,,"BDD_perfluores$c_pfoa_raw_12<-ifelse(BDD_perfluores$age_exam<13,BDD_perfluores$Q12_perfluorooctanoique_brut,NA)",,12,12 +PELAGIE,BDD_perfluores,Q12_PERFLUOROUNDECANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pfunda_raw_,complete,final,,"BDD_perfluores$c_pfunda_raw_12<-ifelse(BDD_perfluores$age_exam<13,BDD_perfluores$Q12_perfluoroundecanoique_brut,NA)",,12,12 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFOA_RAW_12Y,ATHLETE,chemicals_ath,c_pfoa_lod_,complete,final,,"BDD_perfluores$c_pfoa_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfoa_raw_12y) & BDD_perfluores$EX3==2,0.02,NA) +BDD_perfluores$c_pfoa_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfoa_raw_12y) & BDD_perfluores$EX3==1,0.07,BDD_perfluores$c_pfoa_lod_12y)",,12,12 +PELAGIE,BDD_perfluores,Q12_PERFLUOROOCTANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pfoa_raw_,complete,final,,"BDD_perfluores$c_pfoa_raw_13<-ifelse(BDD_perfluores$age_exam>=13,BDD_perfluores$Q12_perfluorooctanoique_brut,NA)",,13,13 +PELAGIE,BDD_pop,Q12_BPC170,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pcb170_raw_,complete,final,,"BDD_pop$c_pcb170_raw_13<-ifelse(BDD_pop$age_exam>=13,BDD_pop$Q12_BPC170*943.4,NA)",,13,13 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFOA_RAW_13Y,ATHLETE,chemicals_ath,c_pfoa_lod_,complete,final,,"BDD_perfluores$c_pfoa_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfoa_raw_13y) & BDD_perfluores$EX3==2,0.02,NA) + +BDD_perfluores$c_pfoa_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfoa_raw_13y) & BDD_perfluores$EX3==1,0.07,BDD_perfluores$c_pfoa_lod_13y)",,13,13 +PELAGIE,BDD_perfluores,PFNA,,,ATHLETE,chemicals_ath,c_pfna_raw_birth,partial,final,from cord blood,BDD_perfluores$c_pfna_raw_birth<-BDD_perfluores$PFNA,from cord blood,, +PELAGIE,harmonized,C_PFNA_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pfna_lod_birth,partial,final,from cord blood,"BDD_perfluores$c_pfna_lod_birth<-ifelse(!is.na(BDD_perfluores$c_pfna_raw_birth),0.085,NA)",from cord blood,, +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_154=0;,,154,154 +PELAGIE,BDD_perfluores,Q12_PERFLUORONONANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pfna_raw_,complete,final,,"BDD_perfluores$c_pfna_raw_12<-ifelse(BDD_perfluores$age_exam<13,BDD_perfluores$Q12_perfluorononanoique_brut,NA)",,12,12 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFNA_RAW_12,ATHLETE,chemicals_ath,c_pfna_lod_,complete,final,,"BDD_perfluores$c_pfna_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfna_raw_12y) & BDD_perfluores$EX3==2,0.01,NA) +BDD_perfluores$c_pfna_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfna_raw_12y) & BDD_perfluores$EX3==1,0.09,BDD_perfluores$c_pfna_lod_12y)",,12,12 +PELAGIE,BDD_perfluores,Q12_PERFLUORONONANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pfna_raw_,complete,final,,"BDD_perfluores$c_pfna_raw_13<-ifelse(BDD_perfluores$age_exam>=13,BDD_perfluores$Q12_perfluorononanoique_brut,NA)",,13,13 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFNA_RAW_13Y,ATHLETE,chemicals_ath,c_pfna_lod_,complete,final,,"BDD_perfluores$c_pfna_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfna_raw_13y) & BDD_perfluores$EX3==2,0.01,NA) +BDD_perfluores$c_pfna_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfna_raw_13y) & BDD_perfluores$EX3==1,0.09,BDD_perfluores$c_pfna_lod_13y)",,13,13 +PELAGIE,harmonized,C_PFDA_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pfda_lod_birth,partial,final,from cord blood,"BDD_perfluores$c_pfda_lod_birth<-ifelse(!is.na(BDD_perfluores$c_pfda_raw_birth),0.058,NA)",from cord blood,, +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFDA_RAW_12Y,ATHLETE,chemicals_ath,c_pfda_lod_,complete,final,,"BDD_perfluores$c_pfda_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfda_raw_12y) & BDD_perfluores$EX3==2,0.01,NA) + +BDD_perfluores$c_pfda_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfda_raw_12y) & BDD_perfluores$EX3==1,0.06,BDD_perfluores$c_pfda_lod_12y)",,12,12 +PELAGIE,BDD_pop,Q12_BPC118,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pcb118_raw_,complete,final,,"BDD_pop$c_pcb118_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_BPC118*943.4,NA)",,12,12 +PELAGIE,BDD_OP,CHILDDEP,,,ATHLETE,chemicals_ath,c_dep_raw_,complete,final,,BDD_OP$c_dep_raw_6<-BDD_OP$CHILDDEP,,6,6 +PELAGIE,BDD_perfluores,Q12_PERFLUORODECANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pfda_raw_,complete,final,,"BDD_perfluores$c_pfda_raw_13<-ifelse(BDD_perfluores$age_exam>=13,BDD_perfluores$Q12_perfluorodecanoique_brut,NA)",,13,13 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFDA_RAW_13Y,ATHLETE,chemicals_ath,c_pfda_lod_,complete,final,,"BDD_perfluores$c_pfda_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfda_raw_13y) & BDD_perfluores$EX3==2,0.01,NA) + +BDD_perfluores$c_pfda_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfda_raw_13y) & BDD_perfluores$EX3==1,0.01,BDD_perfluores$c_pfda_lod_13y)",,13,13 +PELAGIE,BDD_perfluores,PFUDA,,,ATHLETE,chemicals_ath,c_pfunda_raw_birth,partial,final,from cord blood,BDD_perfluores$c_pfunda_raw_birth<-BDD_perfluores$PFUDA,from cord blood,, +PELAGIE,harmonized,C_PFUNDA_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pfunda_lod_birth,partial,final,from cord blood,"BDD_perfluores$c_pfunda_lod_birth<-ifelse(!is.na(BDD_perfluores$c_pfunda_raw_birth),0.048,NA)",from cord blood,, +PELAGIE,BDD_pop,Q12_BPC138,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pcb138_raw_,complete,final,,"BDD_pop$c_pcb138_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_BPC138*943.4,NA)",,12,12 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFUNDA_RAW_12Y,ATHLETE,chemicals_ath,c_pfunda_lod_,complete,final,,"BDD_perfluores$c_pfunda_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfunda_raw_12y) & BDD_perfluores$EX3==2,0.01,NA) +BDD_perfluores$c_pfunda_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfunda_raw_12y) & BDD_perfluores$EX3==2,0.01,NA)",,12,12 +PELAGIE,BDD_perfluores,Q12_PERFLUOROUNDECANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pfunda_raw_,complete,final,,"BDD_perfluores$c_pfunda_raw_13<-ifelse(BDD_perfluores$age_exam>=13,BDD_perfluores$Q12_perfluoroundecanoique_brut,NA)",,13,13 +PELAGIE,harmonized,C_MEAA_RAW_6,,,ATHLETE,chemicals_ath,c_meaa_lod_,complete,final,,"BDD_ethers$c_meaa_lod_6<-ifelse(!is.na(BDD_ethers$c_meaa_raw_6y),3,NA)",,6,6 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFUNDA_RAW_13Y,ATHLETE,chemicals_ath,c_pfunda_lod_,complete,final,,"BDD_perfluores$c_pfunda_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfunda_raw_13y) & BDD_perfluores$EX3==2,0.01,NA) +BDD_perfluores$c_pfunda_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfunda_raw_13y) & BDD_perfluores$EX3==1,0.05,BDD_perfluores$c_pfunda_lod_13y)",,13,13 +PELAGIE,BDD_pop,PCB118,,,ATHLETE,chemicals_ath,c_pcb118_raw_birth,partial,final,from cord blood,BDD_pop$c_pcb118_raw_birth<-BDD_pop$PCB118*943.4,from cord blood,, +PELAGIE,harmonized,C_PCB118_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pcb118_lod_birth,partial,final,from cord blood,"BDD_pop$c_pcb118_lod_birth<-ifelse(!is.na(BDD_pop$c_pcb118_raw_birth),0.01*943.4,NA)",from cord blood,, +PELAGIE,harmonized,C_HCB_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_hcb_lod_birth,partial,final,from cord blood,"BDD_pop$c_hcb_lod_birth<-ifelse(!is.na(BDD_pop$c_hcb_raw_birth),0.02*943.4,NA)",from cord blood,, +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB118_RAW_12Y,ATHLETE,chemicals_ath,c_pcb118_lod_,complete,final,,"BDD_pop$c_pcb118_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_pcb118_raw_12y),0.01*943.4,NA)",,12,12 +PELAGIE,BDD_pop,Q12_BPC118,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pcb118_raw_,complete,final,,"BDD_pop$c_pcb118_raw_13y=13,BDD_pop$Q12_BPC118*943.4,NA)",,13,13 +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB118_RAW_13Y,ATHLETE,chemicals_ath,c_pcb118_lod_,complete,final,,"BDD_pop$c_pcb118_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_pcb118_raw_13y),0.01*943.4,NA)",,13,13 +PELAGIE,harmonized,C_PCB138_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pcb138_lod_birth,partial,final,from cord blood,"BDD_pop$c_pcb138_lod_birth<-ifelse(!is.na(BDD_pop$c_pcb138_raw_birth),0.01*943.4,NA)",from cord blood,, +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB138_RAW_12Y,ATHLETE,chemicals_ath,c_pcb138_lod_,complete,final,,"BDD_pop$c_pcb138_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_pcb138_raw_12y),0.01*943.4,NA)",,12,12 +PELAGIE,BDD_pop,Q12_BPC138,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pcb138_raw_,complete,final,,"BDD_pop$c_pcb138_raw_13<-ifelse(BDD_pop$age_exam>=13,BDD_pop$Q12_BPC138*943.4,NA)",,13,13 +PELAGIE,BDD_ethers,"EAA,SGURINEF",,,ATHLETE,chemicals_ath,m_eaa_raw_t,complete,final,,"BDD_ethers$m_eaa_raw_t1<-ifelse(!is.na(BDD_ethers$EAA) & BDD_ethers$SGurineF<=10,BDD_ethers$EAA,NA)",,1,1 +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB138_RAW_13Y,ATHLETE,chemicals_ath,c_pcb138_lod_,complete,final,,"BDD_pop$c_pcb138_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_pcb138_raw_13y),0.01*943.4,NA)",,13,13 +PELAGIE,BDD_pop,PCB153,,,ATHLETE,chemicals_ath,c_pcb153_raw_birth,partial,final,from cord blood,BDD_pop$c_pcb153_raw_birth<-BDD_pop$PCB153*943.4,from cord blood,, +PELAGIE,harmonized,C_PCB153_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pcb153_lod_birth,partial,final,from cord blood,"BDD_pop$c_pcb153_lod_birth<-ifelse(!is.na(BDD_pop$c_pcb153_raw_birth),0.01*943.4,NA)",from cord blood,, +PELAGIE,BDD_pop,Q12_BPC153,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pcb153_raw_,complete,final,,"BDD_pop$c_pcb153_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_BPC153*943.4,NA)",,12,12 +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB153_RAW_12Y,ATHLETE,chemicals_ath,c_pcb153_lod_,complete,final,,"BDD_pop$c_pcb153_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_pcb153_raw_12y),0.01*943.4,NA)",,12,12 +PELAGIE,BDD_pop,Q12_BPC153,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pcb153_raw_,complete,final,,"BDD_pop$c_pcb153_raw_13<-ifelse(BDD_pop$age_exam>=13,BDD_pop$Q12_BPC153*943.4,NA)",,13,13 +PELAGIE,BDD_pop,Q12_BPC180,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pcb180_raw_,complete,final,,"BDD_pop$c_pcb180_raw_13y=13,BDD_pop$Q12_BPC180*943.4,NA)",,13,13 +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB153_RAW_13Y,ATHLETE,chemicals_ath,c_pcb153_lod_,complete,final,,"BDD_pop$c_pcb153_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_pcb153_raw_13y),0.01*943.4,NA)",,13,13 +PELAGIE,BDD_pop,PCB170,,,ATHLETE,chemicals_ath,c_pcb170_raw_birth,partial,final,from cord blood,BDD_pop$c_pcb170_raw_birth<-BDD_pop$PCB170*943.4,from cord blood,, +PELAGIE,harmonized,C_PCB170_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pcb170_lod_birth,partial,final,from cord blood,"BDD_pop$c_pcb170_lod_birth<-ifelse(!is.na(BDD_pop$c_pcb170_raw_birth),0.01*943.4,NA)",from cord blood,, +PELAGIE,BDD_pop,Q12_BPC170,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pcb170_raw_,complete,final,,"BDD_pop$c_pcb170_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_BPC170*943.4,NA)",,12,12 +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB170_RAW_12Y,ATHLETE,chemicals_ath,c_pcb170_lod_,complete,final,,"BDD_pop$c_pcb170_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_pcb170_raw_12y),0.01*943.4,NA)",,12,12 +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_DDE_RAW_12Y,ATHLETE,chemicals_ath,c_dde_lod_,complete,final,,"BDD_pop$c_dde_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_dde_raw_12y),0.02*943.4,NA)",,12,12 +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB170_RAW_13Y,ATHLETE,chemicals_ath,c_pcb170_lod_,complete,final,,"BDD_pop$c_pcb170_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_pcb170_raw_13y),0.01*943.4,NA)",,13,13 +PELAGIE,BDD_pop,PCB180,,,ATHLETE,chemicals_ath,c_pcb180_raw_birth,partial,final,from cord blood,BDD_pop$c_pcb180_raw_birth<-BDD_pop$PCB180*943.4,from cord blood,, +PELAGIE,harmonized,C_PCB180_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pcb180_lod_birth,partial,final,from cord blood,"BDD_pop$c_pcb180_lod_birth<-ifelse(!is.na(BDD_pop$c_pcb180_raw_birth),0.01*943.4,NA)",from cord blood,, +PELAGIE,BDD_pop,Q12_BPC180,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_pcb180_raw_,complete,final,,"BDD_pop$c_pcb180_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_BPC180*943.4,NA)",,12,12 +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB180_RAW_12Y,ATHLETE,chemicals_ath,c_pcb180_lod_,complete,final,,"BDD_pop$c_pcb180_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_pcb180_raw_12y),0.01*943.4,NA)",,12,12 +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB180_RAW_13Y,ATHLETE,chemicals_ath,c_pcb180_lod_,complete,final,,"BDD_pop$c_pcb180_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_pcb180_raw_13y),0.01*943.4,NA)",,13,13 +PELAGIE,BDD_pop,PPDDT,,,ATHLETE,chemicals_ath,c_ddt_raw_birth,partial,final,from cord blood,BDD_pop$c_ddt_raw_birth<-BDD_pop$ppDDT*943.4,from cord blood,, +PELAGIE,BDD_pop,PBDE153,,,ATHLETE,chemicals_ath,c_pbde153_raw_birth,partial,final,from cord blood,BDD_pop$c_pbde153_raw_birth<-BDD_pop$PBDE153*943.4,from cord blood,, +PELAGIE,BDD_pop,DOSAGE_POP_MERE,harmonized,C_DDT_RAW_BIRTH,ATHLETE,chemicals_ath,c_ddt_lod_birth,partial,final,from cord blood,"BDD_pop$c_ddt_lod_birth<-ifelse(!is.na(BDD_pop$c_ddt_raw_birth),0.02*943.4,NA) +BDD_pop$c_ddt_lod_birth<-ifelse(!is.na(BDD_pop$c_ddt_raw_birth) & BDD_pop$dosage_pop_mere==2,0.05*943.4,BDD_pop$c_ddt_lod_birth)",from cord blood,, +PELAGIE,harmonized,C_DDE_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_dde_lod_birth,partial,final,from cord blood,"BDD_pop$c_dde_lod_birth<-ifelse(!is.na(BDD_pop$c_dde_raw_birth),0.02*943.4,NA)",from cord blood,, +PELAGIE,BDD_pop,Q12_PPDDE,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_dde_raw_,complete,final,,"BDD_pop$c_dde_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_ppDDE*943.4,NA)",,12,12 +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_155=0;,,155,155 +PELAGIE,BDD_pop,Q12_PPDDE,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_dde_raw_,complete,final,,"BDD_pop$c_dde_raw_13<-ifelse(BDD_pop$age_exam>=13,BDD_pop$Q12_ppDDE*943.4,NA)",,13,13 +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_DDE_RAW_13Y,ATHLETE,chemicals_ath,c_dde_lod_,complete,final,,"BDD_pop$c_dde_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_dde_raw_13y),0.02*943.4,NA)",,13,13 +PELAGIE,BDD_pop,HEXACHLOROBENZENE,,,ATHLETE,chemicals_ath,c_hcb_raw_birth,partial,final,from cord blood,BDD_pop$c_hcb_raw_birth<-BDD_pop$Hexachlorobenzene*943.4,from cord blood,, +PELAGIE,BDD_pop,Q12_HEXACHLOROBENZENE,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_hcb_raw_,complete,final,,"BDD_pop$c_hcb_raw_12y=13,BDD_pop$Q12_Hexachlorobenzene*943.4,NA)",,13,13 +PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_HCB_RAW_13Y,ATHLETE,chemicals_ath,c_hcb_lod_,complete,final,,"BDD_pop$c_hcb_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_hcb_raw_13y),0.02*943.4,NA)",,13,13 +PELAGIE,BDD_pop,PBDE47,,,ATHLETE,chemicals_ath,c_pbde47_raw_birth,partial,final,from cord blood,BDD_pop$c_pbde47_raw_birth<-BDD_pop$PBDE47*943.4,from cord blood,, +PELAGIE,harmonized,C_PBDE47_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pbde47_lod_birth,partial,final,from cord blood,"BDD_pop$c_pbde47_lod_birth<-ifelse(!is.na(BDD_pop$c_pbde47_raw_birth),0.01*943.4,NA)",from cord blood,, +PELAGIE,harmonized,C_PBDE153_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_pbde153_lod_birth,partial,final,from cord blood,"BDD_pop$c_pbde153_lod_birth<-ifelse(!is.na(BDD_pop$c_pbde153_raw_birth),0.01*943.4,NA)",from cord blood,, +PELAGIE,harmonized,C_HCH_RAW_BIRTH,,,ATHLETE,chemicals_ath,c_hch_lod_birth,partial,final,from cord blood,"BDD_pop$c_hch_lod_birth<-ifelse(!is.na(BDD_pop$c_hch_raw_birth),0.01*943.4,NA)",from cord blood,, +PELAGIE,BDD_pop,Q12_BETAHCH,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_hch_raw_,complete,final,,"BDD_pop$c_hch_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_betaHCH*943.4,NA)",,12,12 +PELAGIE,BDD_ethers,SGURINEF,harmonized,M_MEAA_RAW_T2,ATHLETE,chemicals_ath,m_meaa_lod_t,complete,final,,"BDD_ethers$m_meaa_lod_t2<-ifelse(!is.na(BDD_ethers$m_meaa_raw_t2) & BDD_ethers$SGurineF>10,3,NA)",,2,2 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_HCH_RAW_12Y,ATHLETE,chemicals_ath,c_hch_lod_,complete,final,,"BDD_pop$c_hch_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_hch_raw_12y & BDD_pop$EX3==2),0.01*943.4,NA) + +BDD_pop$c_hch_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_hch_raw_12y & BDD_pop$EX3==1),0.02*943.4,BDD_pop$c_hch_lod_12y)",,12,12 +PELAGIE,BDD_pop,Q12_BETAHCH,pelagie_exam12,AGE_EXAM,ATHLETE,chemicals_ath,c_hch_raw_,complete,final,,"BDD_pop$c_hch_raw_13<-ifelse(BDD_pop$age_exam>=13,BDD_pop$Q12_betaHCH*943.4,NA)",,13,13 +PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_HCH_RAW_13Y,ATHLETE,chemicals_ath,c_hch_lod_,complete,final,,"BDD_pop$c_hch_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_hch_raw_13y & BDD_pop$EX3==2),0.01*943.4,NA) + +BDD_pop$c_hch_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_hch_raw_13y & BDD_pop$EX3==1),0.02*943.4,BDD_pop$c_hch_lod_13y)",,13,13 +PELAGIE,BDD_ethers,"MAA,SGURINEF",,,ATHLETE,chemicals_ath,m_maa_raw_t,complete,final,,"BDD_ethers$m_maa_raw_t1<-ifelse(!is.na(BDD_ethers$MAA) & BDD_ethers$SGurineF<=10,BDD_ethers$MAA,NA)",,1,1 +PELAGIE,BDD_ethers,"MAA,SGURINEF",,,ATHLETE,chemicals_ath,m_maa_raw_t,complete,final,,"BDD_ethers$m_maa_raw_t2<-ifelse(!is.na(BDD_ethers$MAA) & BDD_ethers$SGurineF>10,BDD_ethers$MAA,NA)",,2,2 +PELAGIE,BDD_ethers,SGURINEF,harmonized,M_MAA_RAW_T1,ATHLETE,chemicals_ath,m_maa_lod_t,complete,final,,"BDD_ethers$m_maa_lod_t1<-ifelse(!is.na(BDD_ethers$m_maa_raw_t1) & BDD_ethers$SGurineF<=10,3,NA)",,1,1 +PELAGIE,BDD_ethers,SGURINEF,harmonized,M_MAA_RAW_T2,ATHLETE,chemicals_ath,m_maa_lod_t,complete,final,,"BDD_ethers$m_maa_lod_t2<-ifelse(!is.na(BDD_ethers$m_maa_raw_t2) & BDD_ethers$SGurineF>10,3,NA)",,2,2 +PELAGIE,BDD_ethers,MAA_ENFANT,,,ATHLETE,chemicals_ath,c_maa_raw_,complete,final,,BDD_ethers$c_maa_raw_6<-BDD_ethers$MAA_enfant,,6,6 +PELAGIE,harmonized,C_MAA_RAW_6,,,ATHLETE,chemicals_ath,c_maa_lod_,complete,final,,"BDD_ethers$c_maa_lod_6<-ifelse(!is.na(BDD_ethers$c_maa_raw_6y),3,NA)",,6,6 +PELAGIE,BDD_ethers,"MEAA,SGURINEF",,,ATHLETE,chemicals_ath,m_meaa_raw_t,complete,final,,"BDD_ethers$m_meaa_raw_t1<-ifelse(!is.na(BDD_ethers$MEAA) & BDD_ethers$SGurineF<=10,BDD_ethers$MEAA,NA)",,1,1 +PELAGIE,BDD_ethers,"MEAA,SGURINEF",,,ATHLETE,chemicals_ath,m_meaa_raw_t,complete,final,,"BDD_ethers$m_meaa_raw_t2<-ifelse(!is.na(BDD_ethers$MEAA) & BDD_ethers$SGurineF>10,BDD_ethers$MEAA,NA)",,2,2 +PELAGIE,BDD_ethers,SGURINEF,harmonized,M_MEAA_RAW_T1,ATHLETE,chemicals_ath,m_meaa_lod_t,complete,final,,"BDD_ethers$m_meaa_lod_t1<-ifelse(!is.na(BDD_ethers$m_meaa_raw_t1) & BDD_ethers$SGurineF<=10,3,NA)",,1,1 +PELAGIE,BDD_ethers,"EAA,SGURINEF",,,ATHLETE,chemicals_ath,m_eaa_raw_t,complete,final,,"BDD_ethers$m_eaa_raw_t2<-ifelse(!is.na(BDD_ethers$EAA) & BDD_ethers$SGurineF>10,BDD_ethers$EAA,NA)",,2,2 +PELAGIE,BDD_ethers,SGURINEF,harmonized,M_EAA_RAW_T1,ATHLETE,chemicals_ath,m_eaa_lod_t,complete,final,,"BDD_ethers$m_eaa_lod_t1<-ifelse(!is.na(BDD_ethers$m_eaa_raw_t1) & BDD_ethers$SGurineF<=10,3,NA)",,1,1 +PELAGIE,BDD_ethers,SGURINEF,harmonized,M_EAA_RAW_T2,ATHLETE,chemicals_ath,m_eaa_lod_t,complete,final,,"BDD_ethers$m_eaa_lod_t2<-ifelse(!is.na(BDD_ethers$m_eaa_raw_t2) & BDD_ethers$SGurineF>10,3,NA)",,2,2 +PELAGIE,BDD_ethers,EAA_ENFANT,,,ATHLETE,chemicals_ath,c_eaa_raw_,complete,final,,BDD_ethers$c_eaa_raw_6<-BDD_ethers$EAA_enfant,,6,6 +PELAGIE,harmonized,C_EAA_RAW_6,,,ATHLETE,chemicals_ath,c_eaa_lod_,complete,final,,"BDD_ethers$c_eaa_lod_6<-ifelse(!is.na(BDD_ethers$c_eaa_raw_6y),3,NA)",,6,6 +PELAGIE,BDD_ethers,"EEAA,SGURINEF",,,ATHLETE,chemicals_ath,m_eeaa_raw_t,complete,final,,"BDD_ethers$m_eeaa_raw_t1<-ifelse(!is.na(BDD_ethers$EEAA) & BDD_ethers$SGurineF<=10,BDD_ethers$EEAA,NA)",,1,1 +PELAGIE,BDD_ethers,"EEAA,SGURINEF",,,ATHLETE,chemicals_ath,m_eeaa_raw_t,complete,final,,"BDD_ethers$m_eeaa_raw_t2<-ifelse(!is.na(BDD_ethers$EEAA) & BDD_ethers$SGurineF>10,BDD_ethers$EEAA,NA)",,2,2 +PELAGIE,BDD_ethers,SGURINEF,harmonized,M_EEAA_RAW_T1,ATHLETE,chemicals_ath,m_eeaa_lod_t,complete,final,,"BDD_ethers$m_eeaa_lod_t1<-ifelse(!is.na(BDD_ethers$m_eeaa_raw_t1) & BDD_ethers$SGurineF<=10,3,NA)",,1,1 +PELAGIE,BDD_ethers,SGURINEF,harmonized,M_EEAA_RAW_T2,ATHLETE,chemicals_ath,m_eeaa_lod_t,complete,final,,"BDD_ethers$m_eeaa_lod_t2<-ifelse(!is.na(BDD_ethers$m_eeaa_raw_t2) & BDD_ethers$SGurineF>10,3,NA)",,2,2 +PELAGIE,BDD_ethers,"MPA,SGURINEF",,,ATHLETE,chemicals_ath,m_2mpa_raw_t,complete,final,,"BDD_ethers$m_2mpa_raw_t1<-ifelse(!is.na(BDD_ethers$MPA) & BDD_ethers$SGurineF<=10,BDD_ethers$MPA,NA)",,1,1 +PELAGIE,BDD_ethers,"MPA,SGURINEF",,,ATHLETE,chemicals_ath,m_2mpa_raw_t,complete,final,,"BDD_ethers$m_2mpa_raw_t2<-ifelse(!is.na(BDD_ethers$MPA) & BDD_ethers$SGurineF>10,BDD_ethers$MPA,NA)",,2,2 +PELAGIE,BDD_ethers,SGURINEF,harmonized,M_2MPA_RAW_T1,ATHLETE,chemicals_ath,m_2mpa_lod_t,complete,final,,"BDD_ethers$m_2mpa_lod_t1<-ifelse(!is.na(BDD_ethers$m_2mpa_raw_t1) & BDD_ethers$SGurineF<=10,3,NA)",,1,1 +PELAGIE,BDD_ethers,SGURINEF,harmonized,M_2MPA_RAW_T2,ATHLETE,chemicals_ath,m_2mpa_lod_t,complete,final,,"BDD_ethers$m_2mpa_lod_t2<-ifelse(!is.na(BDD_ethers$m_2mpa_raw_t2) & BDD_ethers$SGurineF>10,3,NA)",,2,2 +PELAGIE,BDD_ethers,MPA_ENFANT,,,ATHLETE,chemicals_ath,c_2mpa_raw_,complete,final,,BDD_ethers$c_2mpa_raw_6<-BDD_ethers$MPA_enfant,,6,6 +PELAGIE,harmonized,C_2MPA_RAW_6,,,ATHLETE,chemicals_ath,c_2mpa_lod_,complete,final,,"BDD_ethers$c_2mpa_lod_6<-ifelse(!is.na(BDD_ethers$c_2mpa_raw_6y),3,NA)",,6,6 +PELAGIE,harmonized,C_DMP_RAW_6,,,ATHLETE,chemicals_ath,c_dmp_lod_,complete,final,,"BDD_OP$c_dmp_lod_6<-ifelse(!is.na(BDD_OP$c_dmp_raw_6y),0.06,NA)",,6,6 +PELAGIE,BDD_ethers,"PHAA,SGURINEF",,,ATHLETE,chemicals_ath,m_phenoxyacetic_acid_raw_t,complete,final,,"BDD_ethers$m_phenoxyacetic_acid_raw_t1<-ifelse(!is.na(BDD_ethers$PhAA) & BDD_ethers$SGurineF<=10,BDD_ethers$PhAA,NA)",,1,1 +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_156=0;,,156,156 +PELAGIE,BDD_ethers,"PHAA,SGURINEF",,,ATHLETE,chemicals_ath,m_phenoxyacetic_acid_raw_t,complete,final,,"BDD_ethers$m_phenoxyacetic_acid_raw_t2<-ifelse(!is.na(BDD_ethers$PhAA) & BDD_ethers$SGurineF>10,BDD_ethers$PhAA,NA)",,2,2 +PELAGIE,BDD_ethers,SGURINEF,harmonized,M_PHENOXYACETIC_ACID_RAW_T1,ATHLETE,chemicals_ath,m_phenoxyacetic_acid_lod_t,complete,final,,"BDD_ethers$m_phenoxyacetic_acid_lod_t1<-ifelse(!is.na(BDD_ethers$m_phenoxyacetic_acid_raw_t1) & BDD_ethers$SGurineF<=10,3,NA)",,1,1 +PELAGIE,BDD_ethers,SGURINEF,harmonized,M_PHENOXYACETIC_ACID_RAW_T2,ATHLETE,chemicals_ath,m_phenoxyacetic_acid_lod_t,complete,final,,"BDD_ethers$m_phenoxyacetic_acid_lod_t2<-ifelse(!is.na(BDD_ethers$m_phenoxyacetic_acid_raw_t2) & BDD_ethers$SGurineF>10,3,NA)",,2,2 +PELAGIE,BDD_ethers,PHAA_ENFANT,,,ATHLETE,chemicals_ath,c_phenoxyacetic_acid_raw_,complete,final,,BDD_ethers$c_phenoxyacetic_acid_raw_6<-BDD_ethers$PhAA_enfant,,6,6 +PELAGIE,harmonized,C_PHENOXYACETIC_ACID_RAW_6,,,ATHLETE,chemicals_ath,c_phenoxyacetic_acid_lod_,complete,final,,"BDD_ethers$c_phenoxyacetic_acid_lod_6<-ifelse(!is.na(BDD_ethers$c_phenoxyacetic_acid_raw_6),3,NA)",,6,6 +PELAGIE,BDD_OP,"DMP,SGURINEF",,,ATHLETE,chemicals_ath,m_dmp_raw_t,complete,final,,"BDD_OP$m_dmp_raw_t1<-ifelse(!is.na(BDD_OP$DMP) & BDD_OP$SGurineF<=10,BDD_OP$DMP,NA)",,1,1 +PELAGIE,BDD_OP,"DMP,SGURINEF",,,ATHLETE,chemicals_ath,m_dmp_raw_t,complete,final,,"BDD_OP$m_dmp_raw_t2<-ifelse(!is.na(BDD_OP$DMP) & BDD_OP$SGurineF>10,BDD_OP$DMP,NA)",,2,2 +PELAGIE,BDD_OP,SGURINEF,harmonized,M_DMP_RAW_T1,ATHLETE,chemicals_ath,m_dmp_lod_t,complete,final,,"BDD_OP$m_dmp_lod_t1<-ifelse(!is.na(BDD_OP$m_dmp_raw_t1) & BDD_OP$SGurineF<=10,0.06,NA)",,1,1 +PELAGIE,BDD_OP,SGURINEF,harmonized,M_DMP_RAW_T2,ATHLETE,chemicals_ath,m_dmp_lod_t,complete,final,,"BDD_OP$m_dmp_lod_t2<-ifelse(!is.na(BDD_OP$m_dmp_raw_t2) & BDD_OP$SGurineF>10,0.06,NA)",,2,2 +PELAGIE,BDD_OP,CHILDDMP,,,ATHLETE,chemicals_ath,c_dmp_raw_,complete,final,,BDD_OP$c_dmp_raw_6<-BDD_OP$CHILDDMP,,6,6 +PELAGIE,BDD_OP,"DMTP,SGURINEF",,,ATHLETE,chemicals_ath,m_dmtp_raw_t,complete,final,,"BDD_OP$m_dmtp_raw_t2<-ifelse(!is.na(BDD_OP$DMTP) & BDD_OP$SGurineF>10,BDD_OP$DMTP,NA)",,2,2 +PELAGIE,BDD_OP,SGURINEF,harmonized,M_DMTP_RAW_T1,ATHLETE,chemicals_ath,m_dmtp_lod_t,complete,final,,"BDD_OP$m_dmtp_lod_t1<-ifelse(!is.na(BDD_OP$m_dmtp_raw_t1) & BDD_OP$SGurineF<=10,0.32,NA)",,1,1 +PELAGIE,BDD_OP,SGURINEF,harmonized,M_DMTP_RAW_T2,ATHLETE,chemicals_ath,m_dmtp_lod_t,complete,final,,"BDD_OP$m_dmtp_lod_t2<-ifelse(!is.na(BDD_OP$m_dmtp_raw_t2) & BDD_OP$SGurineF>10,0.32,NA)",,2,2 +PELAGIE,BDD_OP,"DMDTP,SGURINEF",,,ATHLETE,chemicals_ath,m_dmdtp_raw_t,complete,final,,"BDD_OP$m_dmdtp_raw_t1<-ifelse(!is.na(BDD_OP$DMDTP) & BDD_OP$SGurineF<=10,BDD_OP$DMDTP,NA)",,1,1 +PELAGIE,BDD_OP,"DMDTP,SGURINEF",,,ATHLETE,chemicals_ath,m_dmdtp_raw_t,complete,final,,"BDD_OP$m_dmdtp_raw_t2<-ifelse(!is.na(BDD_OP$DMDTP) & BDD_OP$SGurineF>10,BDD_OP$DMDTP,NA)",,2,2 +PELAGIE,harmonized,ARMCIRCMES_0,,,LifeCycle,outcome,armcircmes_,complete,final,,armcircmes_152=0;,,152,152 +PELAGIE,BDD_OP,SGURINEF,harmonized,M_DMDTP_RAW_T1,ATHLETE,chemicals_ath,m_dmdtp_lod_t,complete,final,,"BDD_OP$m_dmdtp_lod_t1<-ifelse(!is.na(BDD_OP$m_dmdtp_raw_t1) & BDD_OP$SGurineF<=10,0.13,NA)",,1,1 +PELAGIE,BDD_OP,SGURINEF,harmonized,M_DMDTP_RAW_T2,ATHLETE,chemicals_ath,m_dmdtp_lod_t,complete,final,,"BDD_OP$m_dmdtp_lod_t2<-ifelse(!is.na(BDD_OP$m_dmdtp_raw_t2) & BDD_OP$SGurineF>10,0.13,NA)",,2,2 +PELAGIE,harmonized,C_DMDTP_RAW_6,,,ATHLETE,chemicals_ath,c_dmdtp_lod_,complete,final,,"BDD_OP$c_dmdtp_lod_6<-ifelse(!is.na(BDD_OP$c_dmdtp_raw_6y),0.13,NA)",,6,6 +PELAGIE,BDD_OP,"DEP,SGURINEF",,,ATHLETE,chemicals_ath,m_dep_raw_t,complete,final,,"BDD_OP$m_dep_raw_t1<-ifelse(!is.na(BDD_OP$DEP) & BDD_OP$SGurineF<=10,BDD_OP$DEP,NA)",,1,1 +PELAGIE,BDD_OP,"DEP,SGURINEF",,,ATHLETE,chemicals_ath,m_dep_raw_t,complete,final,,"BDD_OP$m_dep_raw_t2<-ifelse(!is.na(BDD_OP$DEP) & BDD_OP$SGurineF>10,BDD_OP$DEP,NA)",,2,2 +PELAGIE,BDD_OP,"SGURINEF,SERIE",harmonized,M_DEP_RAW_T1,ATHLETE,chemicals_ath,m_dep_lod_t,complete,final,,"BDD_OP$m_dep_lod_t1<-ifelse(!is.na(BDD_OP$m_dep_raw_t1) & BDD_OP$SGurineF<=10 & BDD_OP$serie==1,0.2,NA) + +BDD_OP$m_dep_lod_t1<-ifelse(!is.na(BDD_OP$m_dep_raw_t1) & BDD_OP$SGurineF<=10 & BDD_OP$serie==2,0.366,BDD_OP$m_dep_lod_t1)",,1,1 +PELAGIE,BDD_OP,"SGURINEF,SERIE",harmonized,M_DEP_RAW_T2,ATHLETE,chemicals_ath,m_dep_lod_t,complete,final,,"BDD_OP$m_dep_lod_t2<-ifelse(!is.na(BDD_OP$m_dep_raw_t2) & BDD_OP$SGurineF>10 & BDD_OP$serie==1,0.2,NA) + +BDD_OP$m_dep_lod_t2<-ifelse(!is.na(BDD_OP$m_dep_raw_t2) & BDD_OP$SGurineF>10 & BDD_OP$serie==2,0.366,BDD_OP$m_dep_lod_t2)",,2,2 +PELAGIE,BDD_OP,"DETP,SGURINEF",,,ATHLETE,chemicals_ath,m_detp_raw_t,complete,final,,"BDD_OP$m_detp_raw_t1<-ifelse(!is.na(BDD_OP$DETP) & BDD_OP$SGurineF<=10,BDD_OP$DETP,NA)",,1,1 +PELAGIE,BDD_OP,"DETP,SGURINEF",,,ATHLETE,chemicals_ath,m_detp_raw_t,complete,final,,"BDD_OP$m_detp_raw_t2<-ifelse(!is.na(BDD_OP$DETP) & BDD_OP$SGurineF>10,BDD_OP$DETP,NA)",,2,2 +PELAGIE,BDD_OP,"SGURINEF,SERIE",harmonized,M_DETP_RAW_T1,ATHLETE,chemicals_ath,m_detp_lod_t,complete,final,,"BDD_OP$m_detp_lod_t1<-ifelse(!is.na(BDD_OP$m_detp_raw_t1) & BDD_OP$SGurineF<=10 & BDD_OP$serie==1,0.1,NA) + +BDD_OP$m_detp_lod_t1<-ifelse(!is.na(BDD_OP$m_detp_raw_t1) & BDD_OP$SGurineF<=10 & BDD_OP$serie==2,0.508,BDD_OP$m_detp_lod_t1)",,1,1 +PELAGIE,BDD_OP,"SGURINEF,SERIE",harmonized,M_DETP_RAW_T2,ATHLETE,chemicals_ath,m_detp_lod_t,complete,final,,"BDD_OP$m_detp_lod_t2<-ifelse(!is.na(BDD_OP$m_detp_raw_t2) & BDD_OP$SGurineF>10 & BDD_OP$serie==1,0.1,NA) + +BDD_OP$m_detp_lod_t2<-ifelse(!is.na(BDD_OP$m_detp_raw_t2) & BDD_OP$SGurineF>10 & BDD_OP$serie==2,0.508,BDD_OP$m_detp_lod_t2)",,2,2 +PELAGIE,BDD_OP,CHILDDETP,,,ATHLETE,chemicals_ath,c_detp_raw_,complete,final,,BDD_OP$c_detp_raw_6<-BDD_OP$CHILDDETP,,6,6 +PELAGIE,harmonized,C_DETP_RAW_6,,,ATHLETE,chemicals_ath,c_detp_lod_,complete,final,,"BDD_OP$c_detp_lod_6<-ifelse(!is.na(BDD_OP$c_detp_raw_6y),0.1,NA)",,6,6 +PELAGIE,BDD_OP,"DEDTP,SGURINEF",,,ATHLETE,chemicals_ath,m_dedtp_raw_t,complete,final,,"BDD_OP$m_dedtp_raw_t1<-ifelse(!is.na(BDD_OP$DEDTP) & BDD_OP$SGurineF<=10,BDD_OP$DEDTP,NA)",,1,1 +PELAGIE,BDD_OP,"DEDTP,SGURINEF",,,ATHLETE,chemicals_ath,m_dedtp_raw_t,complete,final,,"BDD_OP$m_dedtp_raw_t2<-ifelse(!is.na(BDD_OP$DEDTP) & BDD_OP$SGurineF>10,BDD_OP$DEDTP,NA)",,2,2 +PELAGIE,BDD_OP,SGURINEF,harmonized,M_DEDTP_RAW_T1,ATHLETE,chemicals_ath,m_dedtp_lod_t,complete,final,,"BDD_OP$m_dedtp_lod_t1<-ifelse(!is.na(BDD_OP$m_dedtp_raw_t1) & BDD_OP$SGurineF<=10,0.005,NA)",,1,1 +PELAGIE,BDD_OP,SGURINEF,harmonized,M_DEDTP_RAW_T2,ATHLETE,chemicals_ath,m_dedtp_lod_t,complete,final,,"BDD_OP$m_dedtp_lod_t2<-ifelse(!is.na(BDD_OP$m_dedtp_raw_t2) & BDD_OP$SGurineF>10,0.005,NA)",,2,2 +PELAGIE,BDD_OP,CHILDDEDTP,,,ATHLETE,chemicals_ath,c_dedtp_raw_,complete,final,,BDD_OP$c_dedtp_raw_6<-BDD_OP$CHILDDEDTP,,6,6 +PELAGIE,BDD_OP,"CHLORPYRIFOS,SGURINEF",,,ATHLETE,chemicals_ath,m_chlorphyrifos_raw_t,complete,final,,"BDD_OP$m_chlorphyrifos_raw_t1<-ifelse(!is.na(BDD_OP$chlorpyrifos) & BDD_OP$SGurineF<=10,BDD_OP$chlorpyrifos*1000,NA)",,1,1 +PELAGIE,BDD_OP,"CHLORPYRIFOS,SGURINEF",,,ATHLETE,chemicals_ath,m_chlorphyrifos_raw_t,complete,final,,"BDD_OP$m_chlorphyrifos_raw_t2<-ifelse(!is.na(BDD_OP$chlorpyrifos) & BDD_OP$SGurineF>10,BDD_OP$chlorpyrifos*1000,NA)",,2,2 +PELAGIE,BDD_OP,SGURINEF,harmonized,M_CHLORPHYRIFOS_RAW_T1,ATHLETE,chemicals_ath,m_chlorphyrifos_lod_t,complete,final,,"BDD_OP$m_chlorphyrifos_lod_t1<-ifelse(!is.na(BDD_OP$m_chlorphyrifos_raw_t1) & BDD_OP$SGurineF<=10,0.005,NA)",,1,1 +PELAGIE,BDD_OP,SGURINEF,harmonized,M_CHLORPHYRIFOS_RAW_T2,ATHLETE,chemicals_ath,m_chlorphyrifos_lod_t,complete,final,,"BDD_OP$m_chlorphyrifos_lod_t2<-ifelse(!is.na(BDD_OP$m_chlorphyrifos_raw_t2) & BDD_OP$SGurineF>10,0.005,NA) +#",,2,2 +PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle,outcome,hipcircmes_,complete,final,,hipcircmes_158=0;,,158,158 +PELAGIE,BDD_OP,CHILDCHLORPYRIFOS,,,ATHLETE,chemicals_ath,c_chlorphyrifos_raw_,complete,final,,BDD_OP$c_chlorphyrifos_raw_6<-BDD_OP$CHILDCHLORPYRIFOS*1000,,6,6 +PELAGIE,harmonized,C_CHLORPHYRIFOS_RAW_6,,,ATHLETE,chemicals_ath,c_chlorphyrifos_lod_,complete,final,,"BDD_OP$c_chlorphyrifos_lod_6<-ifelse(!is.na(BDD_OP$c_chlorphyrifos_raw_6y),0.005,NA)",,6,6 +PELAGIE,BDD_creatinine,"CREATININE_TOT,SGURINEF",,,ATHLETE,chemicals_ath,m_creatinine_raw_t,complete,final,,"BDD_creatinine$m_creatinine_raw_t1<-ifelse(!is.na(BDD_creatinine$creatinine_tot) & BDD_creatinine$SGurineF<=10,BDD_creatinine$creatinine_tot,NA)",,1,1 +PELAGIE,BDD_creatinine,"CREATININE_TOT,SGURINEF",,,ATHLETE,chemicals_ath,m_creatinine_raw_t,complete,final,,"BDD_creatinine$m_creatinine_raw_t2<-ifelse(!is.na(BDD_creatinine$creatinine_tot) & BDD_creatinine$SGurineF>10,BDD_creatinine$creatinine_tot,NA)",,2,2 +PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle,core,height_,complete,final,,/* too long to be provided and many case by case situations */,,0,"0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90" +PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle,outcome,headcircage_,complete,final,,/* too long to be provided and many case by case situations */,,152,"146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158" +PELAGIE,pelagie_exam12,"EX32,PB_TANITA",,,LifeCycle,outcome,bio_,complete,final,,"do i = 146 to 158 ; + if age_exam_mois eq i then do; +if pb_tanita eq 0 then do;bio_[i]=ex32;bioage_[i]=age_exam_jour;biomes_[i]=0;end; + end; +end;",,151,"146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158" +PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle,outcome,headcirc_,complete,final,,/* too long to be provided and many case by case situations */,,7,"0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34" +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_153=age_exam_jour;,,153,153 +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_157=0;,,157,157 +PELAGIE,harmonized,BIOMES_0,,,LifeCycle,outcome,biomes_,complete,final,,biomes_158=0;,,158,158 +PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle,outcome,headcirc_,complete,final,,/* too long to be provided and many case by case situations */,,155,"146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158" +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle,outcome,triglyceridesmes_,complete,final,,triglyceridesmes_154=0;,,154,154 +PELAGIE,pelagie_exam12,"AGE_EXAM_MOIS,AGE_EXAM_JOUR",,,LifeCycle,outcome,waistcircage_,complete,final,,"do i = 146 to 158 ; + if age_exam_mois eq i then do; + if P_ombili ne . then do;waistcirc_[i]=P_ombili;waistcircage_[i]=age_exam_jour;waistcircmes_[i]=0;end; + end; +end;",,148,"146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158" +PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle,core,weight_age,complete,final,,/* too long to be provided and many case by case situations */,,146,"133, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169" +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_154=age_exam_jour;,,154,154 +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle,outcome,triglyceridesmes_,complete,final,,triglyceridesmes_150=0;,,150,150 +PELAGIE,pelagie_exam12,"AGE_EXAM_MOIS,AGE_EXAM_JOUR",,,LifeCycle,outcome,armcircage_,complete,final,,"do i = 146 to 158 ; + if age_exam_mois eq i then do; +if P_brachial ne . then do;armcirc_[i]=P_brachial;armcircage_[i]=age_exam_jour;armcircmes_[i]=0;end; + end; +end;",,154,"146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158" +PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle,core,weight_,complete,final,,/* too long to be provided and many case by case situations */,,2,"0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90" +PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle,core,height_age,complete,final,,/* too long to be provided and many case by case situations */,,0,"0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90" +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_155=age_exam_jour;,,155,155 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_156=age_exam_jour;,,156,156 +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle,outcome,triglyceridesmes_,complete,final,,triglyceridesmes_155=0;,,155,155 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_157=age_exam_jour;,,157,157 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_158=age_exam_jour;,,158,158 +PELAGIE,harmonized,ARMCIRCMES_0,,,LifeCycle,outcome,armcircmes_,complete,final,,armcircmes_153=0;,,153,153 +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle,outcome,triglyceridesmes_,complete,final,,triglyceridesmes_146=0;,,146,146 +PELAGIE,harmonized,WAISTCIRCMES_0,,,LifeCycle,outcome,waistcircmes_,complete,final,,waistcircmes_146=0;,,146,146 +PELAGIE,harmonized,WAISTCIRCMES_0,,,LifeCycle,outcome,waistcircmes_,complete,final,,waistcircmes_147=0;,,147,147 +PELAGIE,harmonized,WAISTCIRCMES_0,,,LifeCycle,outcome,waistcircmes_,complete,final,,waistcircmes_148=0;,,148,148 +PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle,core,weight_age,complete,final,,/* too long to be provided and many case by case situations */,,0,"0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90" +PELAGIE,harmonized,LDLCMES_146,,,LifeCycle,outcome,ldlcmes_,complete,final,,ldlcmes_156=0;,,156,156 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,ldlcage_,complete,final,,ldlcage_157=age_exam_jour;,,157,157 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,ldlcage_,complete,final,,ldlcage_158=age_exam_jour;,,158,158 +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle,outcome,triglyceridesmes_,complete,final,,triglyceridesmes_157=0;,,157,157 +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle,outcome,triglyceridesmes_,complete,final,,triglyceridesmes_152=0;,,152,152 +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle,outcome,triglyceridesmes_,complete,final,,triglyceridesmes_158=0;,,158,158 +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle,outcome,triglyceridesmes_,complete,final,,triglyceridesmes_153=0;,,153,153 +PELAGIE,harmonized,TRICEPSFMES_0,,,LifeCycle,outcome,tricepsfmes_,complete,final,,tricepsfmes_151=0;,,151,151 +PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle,outcome,headcircage_,complete,final,,/* too long to be provided and many case by case situations */,,0,"0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34" +PELAGIE,harmonized,HEADCIRCMES_0,,,LifeCycle,outcome,headcircmes_,complete,final,"Self-reported by the parents but from medical record in the 'health carnet' from age 0 to 7 years old. +Measure by health profesional around 12-13 years old","do i=1 to 215; +headcirc_(i)=hc_(i); +headcircage_(i)=hc_age(i); +if hc_(i) ne . and 0=147 & pelagie_dosage12$age_exam_mois<148,pelagie_dosage12$Q12_LDL,NA)",,147,147 +PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,ldlc_,complete,final,,"pelagie_dosage12$ldlc_148<-ifelse(pelagie_dosage12$age_exam_mois >=148 & pelagie_dosage12$age_exam_mois<149,pelagie_dosage12$Q12_LDL,NA)",,148,148 +PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,ldlc_,complete,final,,"pelagie_dosage12$ldlc_149<-ifelse(pelagie_dosage12$age_exam_mois >=149 & pelagie_dosage12$age_exam_mois<150,pelagie_dosage12$Q12_LDL,NA)",,149,149 +PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,ldlc_,complete,final,,"pelagie_dosage12$ldlc_150<-ifelse(pelagie_dosage12$age_exam_mois >=150 & pelagie_dosage12$age_exam_mois<151,pelagie_dosage12$Q12_LDL,NA)",,150,150 +PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,ldlc_,complete,final,,"pelagie_dosage12$ldlc_151<-ifelse(pelagie_dosage12$age_exam_mois >=151 & pelagie_dosage12$age_exam_mois<152,pelagie_dosage12$Q12_LDL,NA)",,151,151 +PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,ldlc_,complete,final,,"pelagie_dosage12$ldlc_152<-ifelse(pelagie_dosage12$age_exam_mois >=152 & pelagie_dosage12$age_exam_mois<153,pelagie_dosage12$Q12_LDL,NA)",,152,152 +PELAGIE,harmonized,LDLCMES_146,,,LifeCycle,outcome,ldlcmes_,complete,final,,ldlcmes_155=0;,,155,155 +PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,ldlc_,complete,final,,"pelagie_dosage12$ldlc_153<-ifelse(pelagie_dosage12$age_exam_mois >=153 & pelagie_dosage12$age_exam_mois<154,pelagie_dosage12$Q12_LDL,NA)",,153,153 +PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,ldlc_,complete,final,,"pelagie_dosage12$ldlc_154<-ifelse(pelagie_dosage12$age_exam_mois >=154 & pelagie_dosage12$age_exam_mois<155,pelagie_dosage12$Q12_LDL,NA)",,154,154 +PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,ldlc_,complete,final,,"pelagie_dosage12$ldlc_155<-ifelse(pelagie_dosage12$age_exam_mois >=155 & pelagie_dosage12$age_exam_mois<156,pelagie_dosage12$Q12_LDL,NA)",,155,155 +PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,ldlc_,complete,final,,"pelagie_dosage12$ldlc_156<-ifelse(pelagie_dosage12$age_exam_mois >=156 & pelagie_dosage12$age_exam_mois<157,pelagie_dosage12$Q12_LDL,NA)",,156,156 +PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,ldlc_,complete,final,,"pelagie_dosage12$ldlc_157<-ifelse(pelagie_dosage12$age_exam_mois >=157 & pelagie_dosage12$age_exam_mois<158,pelagie_dosage12$Q12_LDL,NA)",,157,157 +PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,ldlc_,complete,final,,"pelagie_dosage12$ldlc_158<-ifelse(pelagie_dosage12$age_exam_mois >=158 & pelagie_dosage12$age_exam_mois<159,pelagie_dosage12$Q12_LDL,NA)",,158,158 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,ldlcage_,complete,final,,ldlcage_146=age_exam_jour;,,146,146 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,ldlcage_,complete,final,,ldlcage_147=age_exam_jour;,,147,147 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,ldlcage_,complete,final,,ldlcage_148=age_exam_jour;,,148,148 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,ldlcage_,complete,final,,ldlcage_154=age_exam_jour;,,154,154 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,ldlcage_,complete,final,,ldlcage_155=age_exam_jour;,,155,155 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,ldlcage_,complete,final,,ldlcage_156=age_exam_jour;,,156,156 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_146<-ifelse(pelagie_dosage12$age_exam_mois<147,pelagie_dosage12$Q12_HDL,NA)",,146,146 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_147<-ifelse(pelagie_dosage12$age_exam_mois >=147 & pelagie_dosage12$age_exam_mois<148,pelagie_dosage12$Q12_HDL,NA)",,147,147 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_148<-ifelse(pelagie_dosage12$age_exam_mois >=148 & pelagie_dosage12$age_exam_mois<149,pelagie_dosage12$Q12_HDL,NA)",,148,148 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_149<-ifelse(pelagie_dosage12$age_exam_mois >=149 & pelagie_dosage12$age_exam_mois<150,pelagie_dosage12$Q12_HDL,NA)",,149,149 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_150<-ifelse(pelagie_dosage12$age_exam_mois >=150 & pelagie_dosage12$age_exam_mois<151,pelagie_dosage12$Q12_HDL,NA)",,150,150 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_151<-ifelse(pelagie_dosage12$age_exam_mois >=151 & pelagie_dosage12$age_exam_mois<152,pelagie_dosage12$Q12_HDL,NA)",,151,151 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_152<-ifelse(pelagie_dosage12$age_exam_mois >=152 & pelagie_dosage12$age_exam_mois<153,pelagie_dosage12$Q12_HDL,NA)",,152,152 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,hdlcage_,complete,final,,hdlcage_149=age_exam_jour;,,149,149 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_153<-ifelse(pelagie_dosage12$age_exam_mois >=153 & pelagie_dosage12$age_exam_mois<154,pelagie_dosage12$Q12_HDL,NA)",,153,153 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_154<-ifelse(pelagie_dosage12$age_exam_mois >=154 & pelagie_dosage12$age_exam_mois<155,pelagie_dosage12$Q12_HDL,NA)",,154,154 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_155<-ifelse(pelagie_dosage12$age_exam_mois >=155 & pelagie_dosage12$age_exam_mois<156,pelagie_dosage12$Q12_HDL,NA)",,155,155 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_156<-ifelse(pelagie_dosage12$age_exam_mois >=156 & pelagie_dosage12$age_exam_mois<157,pelagie_dosage12$Q12_HDL,NA)",,156,156 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_157<-ifelse(pelagie_dosage12$age_exam_mois >=157 & pelagie_dosage12$age_exam_mois<158,pelagie_dosage12$Q12_HDL,NA)",,157,157 +PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,hdlc_,complete,final,,"pelagie_dosage12$hdlc_158<-ifelse(pelagie_dosage12$age_exam_mois >=158 & pelagie_dosage12$age_exam_mois<159,pelagie_dosage12$Q12_HDL,NA)",,158,158 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,hdlcage_,complete,final,,hdlcage_146=age_exam_jour;,,146,146 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,hdlcage_,complete,final,,hdlcage_147=age_exam_jour;,,147,147 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,hdlcage_,complete,final,,hdlcage_148=age_exam_jour;,,148,148 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,hdlcage_,complete,final,,hdlcage_150=age_exam_jour;,,150,150 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,hdlcage_,complete,final,,hdlcage_151=age_exam_jour;,,151,151 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,hdlcage_,complete,final,,hdlcage_152=age_exam_jour;,,152,152 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,hdlcage_,complete,final,,hdlcage_153=age_exam_jour;,,153,153 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,hdlcage_,complete,final,,hdlcage_154=age_exam_jour;,,154,154 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_148<-ifelse(pelagie_dosage12$age_exam_mois >=148 & pelagie_dosage12$age_exam_mois<149,pelagie_dosage12$Q12_Cholesterol_total,NA)",,148,148 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,cholage_,complete,final,,cholage_154=age_exam_jour;,,154,154 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_149<-ifelse(pelagie_dosage12$age_exam_mois >=149 & pelagie_dosage12$age_exam_mois<150,pelagie_dosage12$Q12_Cholesterol_total,NA)",,149,149 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_150<-ifelse(pelagie_dosage12$age_exam_mois >=150 & pelagie_dosage12$age_exam_mois<151,pelagie_dosage12$Q12_Cholesterol_total,NA)",,150,150 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_151<-ifelse(pelagie_dosage12$age_exam_mois >=151 & pelagie_dosage12$age_exam_mois<152,pelagie_dosage12$Q12_Cholesterol_total,NA)",,151,151 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_152<-ifelse(pelagie_dosage12$age_exam_mois >=152 & pelagie_dosage12$age_exam_mois<153,pelagie_dosage12$Q12_Cholesterol_total,NA)",,152,152 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_153<-ifelse(pelagie_dosage12$age_exam_mois >=153 & pelagie_dosage12$age_exam_mois<154,pelagie_dosage12$Q12_Cholesterol_total,NA)",,153,153 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_154<-ifelse(pelagie_dosage12$age_exam_mois >=154 & pelagie_dosage12$age_exam_mois<155,pelagie_dosage12$Q12_Cholesterol_total,NA)",,154,154 +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,chol_,complete,final,,"pelagie_dosage12$chol_155<-ifelse(pelagie_dosage12$age_exam_mois >=155 & pelagie_dosage12$age_exam_mois<156,pelagie_dosage12$Q12_Cholesterol_total,NA)",,155,155 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_148<-ifelse(pelagie_dosage12$age_exam_mois >=148 & pelagie_dosage12$age_exam_mois<149 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,148,148 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_149<-ifelse(pelagie_dosage12$age_exam_mois >=149 & pelagie_dosage12$age_exam_mois<150 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,149,149 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_150<-ifelse(pelagie_dosage12$age_exam_mois >=150 & pelagie_dosage12$age_exam_mois<151 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,150,150 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_151<-ifelse(pelagie_dosage12$age_exam_mois >=151 & pelagie_dosage12$age_exam_mois<152 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,151,151 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_152<-ifelse(pelagie_dosage12$age_exam_mois >=152 & pelagie_dosage12$age_exam_mois<153 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,152,152 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_153<-ifelse(pelagie_dosage12$age_exam_mois >=153 & pelagie_dosage12$age_exam_mois<154 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,153,153 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_154<-ifelse(pelagie_dosage12$age_exam_mois >=154 & pelagie_dosage12$age_exam_mois<155 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,154,154 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_155<-ifelse(pelagie_dosage12$age_exam_mois >=155 & pelagie_dosage12$age_exam_mois<156 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,155,155 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_156<-ifelse(pelagie_dosage12$age_exam_mois >=156 & pelagie_dosage12$age_exam_mois<157 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,156,156 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_157<-ifelse(pelagie_dosage12$age_exam_mois >=157 & pelagie_dosage12$age_exam_mois<158 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,157,157 +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle,outcome,triglycerides_,complete,final,,"pelagie_dosage12$triglyceridesage_158<-ifelse(pelagie_dosage12$age_exam_mois >=158 & pelagie_dosage12$age_exam_mois<159 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)",,158,158 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_146=age_exam_jour;,,146,146 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_147=age_exam_jour;,,147,147 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_148=age_exam_jour;,,148,148 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_149=age_exam_jour;,,149,149 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_150=age_exam_jour;,,150,150 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_151=age_exam_jour;,,151,151 +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle,outcome,triglyceridesage_,complete,final,,triglyceridesage_152=age_exam_jour;,,152,152 +PELAGIE,harmonized,"COHAB_0,COB_M,OCCUP_M_0,OCCUP_F1_0",pelagie_q0,V49,LifeCycle,core,eusilc_income,complete,final,,"log_income= 7.525938 + + -0.3140028*sans_conjoint + + + 0.0513736*ne_eu + + -0.1428242*ne_hors + + + -0.0954557*etude_primary + + -0.0752083*etude_lowsecondary + + 0.1353596*etude_postsecondary + + + -0.284897*unemployed_p + + + -0.3175347*unemployed_m + + + -0.0387119*isco_p_1 + + -0.1505033*isco_p_3 + + -0.2064757*isco_p_4 + + -0.2360499*isco_p_5 + + -0.274532*isco_p_67 + + -0.252697*isco_p_8 + + -0.2091455*isco_p_90 + + + 0.1308386*isco_m_1 + + -.0202359*isco_m_3 + + -.0922188*isco_m_4 + + -.1481054*isco_m_5 + + -.1583442*isco_m_678 + + -.2220469*isco_m_90 + + + 0.0046984*agemere; + +eusilc_income=log_income;","Calculated considering: +- NOT living with a partner +- Maternal country of birth (EU vs OTHER) +- Maternal education (≤ primary, lower secondary, post-secondary) +- Paternal/partner occupation (unemployed 0/1) +- Maternal occupation (unemployed 0/1)",, +PELAGIE,harmonized,EUSILC_INCOME,,,LifeCycle,core,eusilc_income_quintiles,complete,final,,"if log_income=. then log_income_quint=.; +else if log_income le 7.23117 then log_income_quint=1; +else if 7.23117 < log_income le 7.40453 then log_income_quint=2; +else if 7.40453 < log_income le 7.54647 then log_income_quint=3; +else if 7.54647 < log_income le 7.68578 then log_income_quint=4; +else if log_income > 7.68578 then log_income_quint=5; + +eusilc_income_quintiles=log_income_quint;",,, +ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle,outcome,dbp_,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)",,59,"48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76" +ENVIRONAGE,bloodpressure after birth,"DBP3B,DBP4B,DBP5B",,,LifeCycle,outcome,dbp_,complete,,,"data$dbp_0<-rowMeans(data[,c(""DBP1B"", ""DBP3B"",""DBP4B"",""DBP5B"")]",,0,0 +Sepages,bdd_grossesse_v5_1,"po_datedel,mo_bd",,,LifeCycle,core,agebirth_m_y,complete,final,,agebirth_m_y=YEAR(po_datedel)-YEAR(mo_bd);,,, +Sepages,bdd_grossesse_v5_1,"po_datedel,mo_bd",,,LifeCycle,core,agebirth_m_d,complete,final,,agebirth_m_d=po_datedel-mo_bd;,,, +Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE,outcome_ath,femur_length_sdsWHO_t,partial,final,,RScript standardization fetal growth ATHLETE_v2.1,,3,"2, 3" +Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE,outcome_ath,weight_sdsWHO_t,partial,final,,RScript standardization fetal growth ATHLETE_v2.1,,3,"2, 3" +Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE,outcome_ath,biparietal_diam_sdsWHOEUR_t,partial,final,,RScript standardization fetal growth ATHLETE_v2.1,,3,"2, 3" +Sepages,bdd_grossesse_v5_1,mo_he,,,LifeCycle,core,height_mes_m,complete,final,1) Measured,if height_m ne . then height_mes_m=1;,,, +Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE,outcome_ath,head_circum_sdsWHOEUR_t,partial,final,,RScript standardization fetal growth ATHLETE_v2.1,,3,"2, 3" +Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE,outcome_ath,abd_circum_sdsWHOEUR_t,partial,final,,RScript standardization fetal growth ATHLETE_v2.1,,3,"2, 3" +Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE,outcome_ath,femur_length_sdsWHOEUR_t,partial,final,,RScript standardization fetal growth ATHLETE_v2.1,,3,"2, 3" +Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE,outcome_ath,weight_sdsWHOEUR_t,partial,final,,RScript standardization fetal growth ATHLETE_v2.1,,3,"2, 3" +Sepages,bdd_grossesse_v5_1,mo_we_bepr,,,LifeCycle,core,prepreg_weight,complete,final,,prepreg_weight=mo_we_bepr;,,, +Sepages,bdd_grossesse_v5_1,"po_datedel,po_datelmp",,,LifeCycle,core,ga_bj,complete,final,,ga_bj=ga_lmp;,,, +Sepages,bdd_grossesse_v5_1,po_w,,,LifeCycle,core,birth_weight,complete,final,,birth_weight=po_w;,,, +Sepages,bdd_grossesse_v5_1,po_he,,,LifeCycle,core,birth_length,complete,final,,birth_length=po_he;,,, +Sepages,bdd_grossesse_v5_1,"date_inclusion,po_datedel",,,LifeCycle,core,recruit_age,complete,final,,recruit_age=date_inclusion-po_datedel;,,, +Sepages,bdd_grossesse_v5_1,po_hc,,,LifeCycle,core,birth_head_circum,complete,final,,birth_head_circum=po_hc;,,, +Sepages,bdd_2a_v_1_0,"cy2eas3_q02,cy2eas3_q03,cy2eas3_q04,cy2eas3_q05,cy2eas3_q06",,,LifeCycle,core,cohab_,partial,final,"if in couple during pregnancy (mo_coupl_pr) and missing thereafter, she is considered to be in couple","cohab_1=cohab_0; +if cy2eas3_q02=1 or cy2eas3_q03=1 or cy2eas3_q04=1 or cy2eas3_q05=1 or cy2eas3_q06=1 then cohab_1=0;",,1,1 +Sepages,code_helix_athlete,quest_mhelix1,,,LifeCycle,core,mother_id,complete,final,,"mother_id=substr(quest_mhelix1,8,6);",,, +Sepages,code_helix_athlete,quest_mhelix1,,,LifeCycle,core,child_id,complete,final,,"child_id=substr(quest_mhelix1,8,6);",,, +Sepages,bdd_grossesse_v5_1,preg_no,,,LifeCycle,core,preg_no,complete,final,"For cohorts with only one pregnancy per a mother, this number will always be ‘1’.",preg_no=1;,,, +Sepages,bdd_grossesse_v5_1,mo_we_bepr,,,LifeCycle,core,prepreg_weight_mes,complete,final,0) self reported,if prepreg_weight ne . then prepreg_weight_mes=0;,,, +Sepages,bdd_grossesse_v5_1,child_no,,,LifeCycle,core,child_no,complete,final,"For single child pregnancies, assign ‘1’ to the child",child_no=1;,,, +Sepages,bdd_grossesse_v5_1,cohort_id,,,LifeCycle,core,cohort_id,complete,final,,cohort_id=128;,,, +Sepages,bdd_grossesse_v5_1,coh_country,,,LifeCycle,core,coh_country,complete,final,,coh_country=250;,,, +Sepages,bdd_grossesse_v5_1,"mt3cab2_q06,mt3cab2_q07",,,LifeCycle,core,latepreg_weight_mes,complete,final,1) measured,if latepreg_weight ne . then latepreg_weight_mes=1;,,, +Sepages,bdd_grossesse_v5_1,"mt3cab2_date_creation,po_datelmp",,,LifeCycle,core,latepreg_weight_ga,complete,final,,latepreg_weight_ga=mt3cab2_date_creation - po_datelmp;,,, +Sepages,bdd_grossesse_v5_1,"mo_we_bepr,mt3cab2_q06,mt3cab2_q07",,,LifeCycle,core,preg_gain,complete,final,,preg_gain=latepreg_weight-prepreg_weight;,,, +Sepages,bdd_grossesse_v5_1,"mo_we_bepr,mt3cab2_q06,mt3cab2_q07",,,LifeCycle,core,preg_gain_mes,complete,final,3) Pre-pregnancy weight reported and late-pregnancy weight recorded,if preg_gain ne . then preg_gain_mes=3;,,, +Sepages,bdd_grossesse_v5_1,mo_he,,,LifeCycle,core,height_m,complete,final,,height_m=mo_he;,,, +Sepages,bdd_grossesse_v5_1,"mt1haa1_date_creation,mt1haa1_q01,mt1haa1_q02",,,LifeCycle,core,prepreg_dia,complete,final,,"if mt1haa1_date_creation ne """" then mt1haa1_quest=1; +if mt1haa1_q01=1 then prepreg_dia=2; +else if mt1haa1_q02=1 then prepreg_dia=3; +else if ident in (15207,19237,23642,26806,27002,27084) then prepreg_dia=4; else if mt1haa1_quest=1 then prepreg_dia=1;",,, +Sepages,bdd_1a_v1_1,cy1caf1_q12,,,LifeCycle,core,con_anomalies,partial,final,cy1caf1_q12: Hypospadias ,"if ch_sex=1 then con_anomalies=cy1caf1_q12; +else if ch_sex=2 then con_anomalies=0;",,, +Sepages,bdd_grossesse_v5_1,"mt3haf1_date_creation,mt3haf1_q04,mt1haa1_q40p7,mt1haa1_q40,mt1haa1_q40p7",,,LifeCycle,core,preg_dia,partial,final,The variable is fully harmonised if data cover the whole pregnancy,"if mt3haf1_date_creation ne """" then mt3haf1_quest=1; +if mt1haa1_q40p7=1 or mt3haf1_q04=1 then preg_dia=1; +else if (mt1haa1_quest=1 and (mt1haa1_q40p7=0 or mt1haa1_q40=0)) and (mt3haf1_quest=. or mt3haf1_q04=0) then preg_dia=0;",,, +Sepages,bdd_grossesse_v5_1,"mt1haa1_date_creation,mt3haf1_date_creation,mt1haa1_q40p5,mt1haa1_q40,mt3haf1_q02",,,LifeCycle,core,preeclam,partial,final,The variable is fully harmonised if data cover from 20 weeks until the end of pregnancy,"if mt1haa1_q40p5=1 or mt3haf1_q02=1 then preeclam=1; +else if (mt1haa1_quest=1 and (mt1haa1_q40p5=0 or mt1haa1_q40=0)) and (mt3haf1_quest=. or mt3haf1_q02=0) then preeclam=0;",,, +Sepages,bdd_grossesse_v5_1,"mt1haa1_q40p1,mt3haf1_q01,mt1haa1_date_creation,mt1haa1_q40,mt3haf1_date_creation",,,LifeCycle,core,preg_ht,partial,final,The variable is fully harmonised if data cover from 20 weeks until the end of pregnancy,"if mt1haa1_q40p1=1 or mt3haf1_q01=1 then preg_ht=1; +else if (mt1haa1_quest=1 and (mt1haa1_q40p1=0 or mt1haa1_q40=0)) and (mt3haf1_quest=. or mt3haf1_q01=0) then preg_ht=0;",,, +Sepages,bdd_pere_1_2,"ft2cae1_q31,ft2cae1_q32",,,LifeCycle,core,height_mes_f,complete,final,2) Measured,if height_f1 ne . then height_mes_f1=2;,,1,1 +Sepages,bdd_grossesse_v5_1,"mt1hab1_q16,mt1hab1_q16p1",,,LifeCycle,core,asthma_m,complete,final,,"if mt1hab1_q16p1=""1"" then asthma_m=1; + else if mt1hab1_q16p1=""0"" or mt1hab1_q16=""0"" or mt1hab1_q16p1=0 or mt1hab1_q16=0 then asthma_m=0;",,, +Sepages,bdd_pere_1_2,ft2sac1_q03,,,LifeCycle,core,edu_f1_fath,complete,final,,if edu_f1_0 ne . then edu_f1_fath0=1;,,0,0 +Sepages,bdd_grossesse_v5_1,po_datedel,,,LifeCycle,core,birth_year,complete,final,,birth_year=year(po_datedel);,,, +Sepages,bdd_grossesse_v5_1,ch_sex,,,LifeCycle,core,sex,complete,final,,sex=ch_sex;,,, +Sepages,bdd_grossesse_v5_1,po_datedel,,,LifeCycle,core,plurality,complete,final,no twin pregnancies in SEPAGES,"if po_datedel ne """" then plurality=1;",,, +Sepages,bdd_grossesse_v5_1,"po_datedel,po_datelmp",,,LifeCycle,core,ga_lmp,complete,final,,ga_lmp=po_datedel-po_datelmp;,,, +Sepages,bdd_grossesse_v5_1,mo_coupl_pr,"bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1","cy1eas1_q02,cy1eas1_q03,cy1eas1_q04,cy1eas1_q05,cy1eas1_q06,cy1eas2_q02,cy1eas2_q03,cy1eas2_q04,cy1eas2_q05,cy1eas2_q06",LifeCycle,core,cohab_,partial,final,"if in couple during pregnancy (mo_coupl_pr) and missing thereafter, she is considered to be in couple","cohab_0=mo_coupl_pr; +if cy1eas1_q02=1 or cy1eas1_q03=1 or cy1eas1_q04=1 or cy1eas1_q05=1 or cy1eas1_q06=1 then cohab_0=0; +if cy1eas2_q02=1 or cy1eas2_q03=1 or cy1eas2_q04=1 or cy1eas2_q05=1 or cy1eas2_q06=1 then cohab_0=0;",,0,0 +Sepages,bdd_grossesse_v5_1,mo_isco_cat_major,,,LifeCycle,core,occupcode_m_,complete,final,,occupcode_m_0=mo_isco_cat_major;,,0,0 +Sepages,quest_mt1raa1,mt1raa1_q21,,,LifeCycle,core,edu_m_,complete,final,The question is asked at the beginning of the pregnancy,"if MT1RAA1_Q21 in (1,2,3) then edu_m_0=3; +else if MT1RAA1_Q21 in (4,5) then edu_m_0=2; +else if MT1RAA1_Q21 in (6,7,8) then edu_m_0=1;",,0,0 +Sepages,bdd_grossesse_v5_1,mo_tob_grt3_yn_n2,,,LifeCycle,core,smk_t,complete,final,,smk_t3=mo_tob_grt3_yn_n2;,,3,3 +Sepages,bdd_grossesse_v5_1,mt1saa1_q02,efr_mere_LMAB_20210902_26,mo_ethnie,LifeCycle,core,ethn1_m,partial,final,,"if mo_ethnie=1 then ethnie_m_efr=1; else if mo_ethnie ne . then ethnie_m_efr=2; +if mt1saa1_q02 in (2,4) then mt1saa1_q02_cat=1; + else if mt1saa1_q02 in (1,3,5,7) then mt1saa1_q02_cat=2; + else if mt1saa1_q02 =99 then mt1saa1_q02_cat=.; +if mt1saa1_q02_cat ne . then ethn1_m=mt1saa1_q02_cat; +else if mt1saa1_q02_cat=. then ethn1_m=ethnie_m_efr;",,, +Sepages,bdd_grossesse_v5_1,mo_we_bepr,,,LifeCycle,core,prepreg_weight_ga,complete,final,"Missing if prepreg_weight is pre-pregnancy weight (as opposed to early pregnancy weight -->in our case, it's missing",prepreg_weight_ga=.;,,, +Sepages,bdd_grossesse_v5_1,"mt3cab2_q06,mt3cab2_q07",,,LifeCycle,core,latepreg_weight,complete,final,,"latepreg_weight=mean(MT3CAB2_q06,MT3CAB2_q07);",,, +Sepages,bdd_grossesse_v5_1,mt1haa1_q17,,,LifeCycle,core,prepreg_psych,partial,final,"f there are no details of any psychiatric disorder but there are details of, for example, depression and anxiety, these can be included as ""any"" psychiatric disorder; this will then be only partial harmonisation, which should be detailed in full under ""match"" in the harmonisation table in the online catalogue .","if mt1haa1_q17=1 or ident in(14813,15563,18645,19422,19442,27084) then prepreg_psych=1; /*on a pu rattraper ces femmes grace aux questions mt1haa1_q19, mt1haa1_q20 et mt1haa1_q21*/ +else if mt1haa1_q17=0 then prepreg_psych=0;",,, +Sepages,bdd_grossesse_v5_1,,,,LifeCycle,core,preg_psych,partial,final,No psychatric disorders were reported by the women in the following text variables : mt1haa1_q40p13-mt1haa1_q40p17 mt3haf1_q07-mt3haf1_q09,preg_psych=0;,,, +Sepages,bdd_grossesse_v5_1,mo_tob_avgr,,,LifeCycle,core,prepreg_smk,complete,final,,"if mo_tob_avgr >0 then prepreg_smk=1; +else if mo_tob_avgr=0 then prepreg_smk=0;",,, +Sepages,bdd_grossesse_v5_1,mo_tob_avgr,,,LifeCycle,core,prepreg_cig,complete,final,,"if mo_tob_avgr ge 10 then prepreg_cig=2; +else if mo_tob_avgr >0 then prepreg_cig=1; +else if mo_tob_avgr=0 then prepreg_cig=0;",,, +Sepages,bdd_grossesse_v5_1,mo_tob_gr_anyt_yn_n2,,,LifeCycle,core,preg_smk,complete,final,,preg_smk=mo_tob_gr_anyt_yn_n2;,,, +Sepages,bdd_grossesse_v5_1,"mo_tob_grt1,mo_tob_grt2,mo_tob_grt3_n2",,,LifeCycle,core,preg_cig,complete,final,,"mean_tob_gr=mean (mo_tob_grt1, mo_tob_grt2, mo_tob_grt3_n2); +if mean_tob_gr ge 10 then preg_cig=2; +else if mean_tob_gr >0 then preg_cig=1; +else if preg_smk=0 then preg_cig=0;",,, +Sepages,bdd_grossesse_v5_1,mo_tob_grt1_yn,,,LifeCycle,core,smk_t,complete,final,,smk_t1=mo_tob_grt1_yn;,,1,1 +Sepages,bdd_grossesse_v5_1,mo_tob_grt2_yn,,,LifeCycle,core,smk_t,complete,final,,smk_t2=mo_tob_grt2_yn;,,2,2 +Sepages,bdd_pere_1_2,"ft2cae1_q35,ft2cae1_q36",,,LifeCycle,core,weight_mes_f,complete,final,2) Measured,if weight_f1 ne . then weight_mes_f1=2;,,1,1 +Sepages,bdd_grossesse_v5_1,mo_outcome_preg,,,LifeCycle,core,sibling_pos,complete,final,,sibling_pos=mo_outcome_preg+1;,,, +Sepages,bdd_grossesse_v5_1,"mt1ean1_q167,mt2ean2_q167,mt3ean3_q167,mt3laa1_q04",,,LifeCycle,core,preg_alc,complete,final,,"if mt1ean1_q167 in (2,3) or mt2ean2_q167 in (2,3) or mt3ean3_q167 in (2,3) or mt3laa1_q04=1 then preg_alc=1; +else if (mt1ean1_q167=1 and mt2ean2_q167=1 and mt3ean3_q167=1) or mt3laa1_q04=0 then preg_alc=0; +else if mt1ean1_q167=1 and (mt2ean2_q167=1 or mt3ean3_q167=1 or mt3laa1_q04=1) then preg_alc=0; +else if mt2ean2_q167=1 and (mt3ean3_q167=1 or mt3laa1_q04=1) then preg_alc=0;",,, +Sepages,bdd_grossesse_v5_1,"mt1ean1_q167,mt2ean2_q167,mt3ean3_q167,mt3laa1_q04,mt1ean1_q167p1,mt1ean1_q167p2,mt1ean1_q167p3,mt1ean1_q167p4,mt2ean2_q167p1,mt2ean2_q167p2,mt2ean2_q167p3,mt2ean2_q167p4,mt3ean3_q167p1,mt3ean3_q167p2,mt3ean3_q167p3,mt3ean3_q167p4",,,LifeCycle,core,preg_alc_unit,complete,final,,"nb_verre_t1=sum(mt1ean1_q167p1+mt1ean1_q167p2+mt1ean1_q167p3+mt1ean1_q167p4); +nb_verre_t2=sum(mt2ean2_q167p1+mt2ean2_q167p2+mt2ean2_q167p3+mt2ean2_q167p4); +nb_verre_t3=sum(mt3ean3_q167p1+mt3ean3_q167p2+mt3ean3_q167p3+mt3ean3_q167p4); +preg_alc_mean=mean(nb_verre_t1,nb_verre_t2,nb_verre_t3); +if preg_alc_mean ge 14 then preg_alc_unit=4; +else if preg_alc_mean ge 7 then preg_alc_unit=3; +else if preg_alc_mean ge 3 then preg_alc_unit=2; +else if preg_alc_mean >0 or (preg_alc_mean=. and preg_alc=1) then preg_alc_unit=1; +else if preg_alc=0 then preg_alc_unit=0;",,, +Sepages,bdd_grossesse_v5_1,mt1ean1_q167,,,LifeCycle,core,alc_t,complete,final,,"if mt1ean1_q167 in (2,3) then alc_t1=1; +else if mt1ean1_q167=1 then alc_t1=0;",,1,1 +Sepages,bdd_grossesse_v5_1,mt2ean2_q167,,,LifeCycle,core,alc_t,complete,final,,"if mt2ean2_q167 in (2,3) then alc_t2=1; +else if mt2ean2_q167=1 then alc_t2=0;",,2,2 +Sepages,bdd_grossesse_v5_1,mt3ean3_q167,,,LifeCycle,core,alc_t,complete,final,,"if mt3ean3_q167 in (2,3) then alc_t3=1; +else if mt3ean3_q167=1 then alc_t3=0;",,3,3 +Sepages,bdd_grossesse_v5_1,mo_outcome_preg,,,LifeCycle,core,parity_m,complete,final,,parity_m=mo_outcome_preg ;,,, +Sepages,bdd_grossesse_v5_1,po_datedel,,,LifeCycle,core,outcome,complete,final,,"if po_datedel ne """" then outcome=1;",,, +Sepages,bdd_grossesse_v5_1,cy1hao1_q10,,,LifeCycle,core,mode_delivery,complete,final,,mode_delivery=cy1hao1_q10;,,, +Sepages,bdd_pere_1_2,fa_isco_cat_major,,,LifeCycle,core,occupcode_f1_,complete,final,,occupcode_f1_0=fa_isco_cat_major;,,0,0 +Sepages,bdd_pere_1_2,"ft2cae1_q31,ft2cae1_q32",,,LifeCycle,core,height_f1_fath,complete,final,biological father for all,if height_f1 ne . then height_f1_fath=1;,,, +Sepages,bdd_pere_1_2,ft2sac1_q03,,,LifeCycle,core,edu_f1_,partial,final,Question asked in the second trimestrer,"if ft2sac1_q03 in (1,2,3) then edu_f1_0=3; + else if ft2sac1_q03 in (4,5) then edu_f1_0=2; + else if ft2sac1_q03 in (6,7,8) then edu_f1_0=1;",,0,0 +Sepages,bdd_pere_1_2,ft2sac1_q02,efr_pere_LMAB_20210902_26,fa_ethnie,LifeCycle,core,ethn1_p,partial,final,question esked : What ethnic background do you consider yourself?,"if fa_ethnie=1 then ethnie_p_efr=1; else if fa_ethnie ne . then ethnie_p_efr=2; +if ft2sac1_q02 in (2,4) then ft2sac1_q02_cat=1; +else if ft2sac1_q02 in (1,3,5,7) then ft2sac1_q02_cat=2; +else if ft2sac1_q02 =99 then ft2sac1_q02_cat=.; +if ft2sac1_q02_cat ne . then ethn1_p=ft2sac1_q02_cat; +else if ft2sac1_q02_cat=. then ethn1_p=ethnie_p_efr;",,, +Sepages,bdd_grossesse_v5_1,po_datedel,ddn_pere,ddn_pere,LifeCycle,core,agebirth_p_y,complete,final,,agebirth_p_y=YEAR(po_datedel)-YEAR (ddn_pere);,,, +Sepages,bdd_grossesse_v5_1,po_datedel,ddn_pere,ddn_pere,LifeCycle,core,agebirth_p_d,complete,final,,agebirth_p_d=po_datedel-ddn_pere;,,, +Sepages,bdd_grossesse_v5_1,po_datedel,ddn_pere,ddn_pere,LifeCycle,core,agebirth_p_fath,complete,final,biological father for all,if agebirth_p_d ne . then agebirth_p_fath=1;,,, +Sepages,bdd_pere_1_2,"ft2cae1_q35,ft2cae1_q36",,,LifeCycle,core,weight_f,complete,final,,"weight_f1=mean (ft2cae1_q35, ft2cae1_q36);",,1,1 +Sepages,bdd_pere_1_2,"ft2cae1_q35,ft2cae1_q36",,,LifeCycle,core,weight_f1_fath,complete,final,biological father for all,if weight_f1 ne . then weight_f1_fath=1;,,, +Sepages,bdd_pere_1_2,"ft2cae1_q31,ft2cae1_q32",,,LifeCycle,core,height_f,complete,final,,"height_f1=mean (ft2cae1_q31, ft2cae1_q32); +if ident=15949 then height_f1=178; +if ident=16318 then height_f1=173; +if ident=17465 then height_f1=179.75; +if ident=22692 then height_f1=177; +if ident=24954 then height_f1=167.5; +if ident=27305 then height_f1=.;",,1,1 +Sepages,bdd_pere_1_2,"ft2had1_q03,ft2had1_q04",,,LifeCycle,core,dia_bf,complete,final,,"if ft2had1_q03=1 then dia_bf=2; +else if ft2had1_q04=1 then dia_bf=3; +else if ft2had1_q03=0 and ft2had1_q04=0 then dia_bf=1;",,, +Sepages,bdd_pere_1_2,"ft2hae1_q15,ft2hae1_q15p1",,,LifeCycle,core,asthma_bf,complete,final,,"if ft2hae1_q15p1=1 then asthma_bf=1; +else if ft2hae1_q15p1=0 or ft2hae1_q15=0 then asthma_bf=0;",,, +Sepages,bdd_pere_1_2,ft2had1_q09,,,LifeCycle,core,psych_bf,partial,final,question asked : depression,psych_bf=ft2had1_q09 ;,,, +Sepages,bdd_grossesse_v5_1,po_datedel,,,LifeCycle,core,birth_month,complete,final,,birth_month=month(po_datedel);,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T1_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","Date_examen_T1_1,date_dernieres_regles_T1_2,Date_examen_T1_2,date_dernieres_regles_T1_3,Date_examen_T1_3,age_echo_semaines_T1_1,age_echo_jours_T1_1,age_echo_semaines_T1_2,age_echo_jours_T1_2,age_echo_semaines_T1_3,age_echo_jours_T1_3",ATHLETE,outcome_ath,ga_us_t,partial,final,,"ag_ddr_T1_1=intck('day',date_dernieres_regles_T1_1 ,Date_examen_T1_1); +ag_ddr_T1_2=intck('day',date_dernieres_regles_T1_2 ,Date_examen_T1_2); +ag_ddr_T1_3=intck('day',date_dernieres_regles_T1_3 ,Date_examen_T1_3); +ag_echo_T1_1=(age_echo_semaines_T1_1*7)+age_echo_jours_T1_1; +ag_echo_T1_2=(age_echo_semaines_T1_2*7)+age_echo_jours_T1_2; +ag_echo_T1_3=(age_echo_semaines_T1_3*7)+age_echo_jours_T1_3; +diff_ag_T1_1=abs(intck('day',ag_ddr_T1_1,ag_echo_T1_1)); +if diff_ag_T1_1=. and ag_ddr_T1_1=. then AG_T1_1=ag_echo_T1_1; +else if diff_ag_T1_1<=7 then AG_T1_1=ag_ddr_T1_1; +diff_ag_T1_2=abs(intck('day',ag_ddr_T1_2,ag_echo_T1_2)); +if diff_ag_T1_2=. and ag_ddr_T1_2=. then AG_T1_2=ag_echo_T1_2; +else if diff_ag_T1_2<=7 then AG_T1_2=ag_ddr_T1_2; +else if diff_ag_T1_2>7 then AG_T1_2=ag_echo_T1_2; +else if diff_ag_T1_1>7 then AG_T1_1=ag_echo_T1_1; +diff_ag_T1_3=abs(intck('day',ag_ddr_T1_3,ag_echo_T1_3)); +if diff_ag_T1_3=. and ag_ddr_T1_3=. then AG_T1_3=ag_echo_T1_3; +else if diff_ag_T1_3<=7 then AG_T1_3=ag_ddr_T1_3; +else if diff_ag_T1_3>7 then AG_T1_3=ag_echo_T1_3; +array t{3} AG_T1_1 AG_T1_2 AG_T1_3; +do i=1 to 3; +nb_t1=sum(nb_t1,t{i} ne .); +end; +var1_med=abs(AG_T1_1-87); +var2_med=abs(AG_T1_2-87); +var3_med=abs(AG_T1_3-87); +minAG_med=min(var1_med,var2_med,var3_med); +if minAG_med=var1_med then do; + gestational_age=AG_T1_1; + exam_date=Date_examen_T1_1; + period_rank=""T1_1""; +end; +else if minAG_med=var2_med then do; + gestational_age=AG_T1_2; + exam_date=Date_examen_T1_2; + period_rank=""T1_2""; +end; +else if minAG_med=var2_med then do; + gestational_age=AG_T1_3; + exam_date=Date_examen_T1_3; + period_rank=""T1_3""; +end; +ga_us_t1=gestational_age;",,1,1 +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T2_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","Date_examen_T2_1,date_dernieres_regles_T2_1,Date_examen_T2_2,date_dernieres_regles_T2_3,Date_examen_T2_3,date_dernieres_regles_T2_4,Date_examen_T2_4,date_debut_grossesse_T2_1,date_debut_grossesse_T2_2,date_debut_grossesse_T2_3,date_debut_grossesse_T2_4",ATHLETE,outcome_ath,ga_us_t,partial,final,,"ag_ddr_T2_1=intck('day',date_dernieres_regles_T2_1 ,Date_examen_T2_1); +ag_ddr_T2_2=intck('day',date_dernieres_regles_T2_1 ,Date_examen_T2_2); +ag_ddr_T2_3=intck('day',date_dernieres_regles_T2_3 ,Date_examen_T2_3); +ag_ddr_T2_4=intck('day',date_dernieres_regles_T2_4 ,Date_examen_T2_4); +age_echo_semaines_T2_1=floor((intck('day',date_debut_grossesse_T2_1 ,Date_examen_T2_1))/7)+2; +age_echo_jours_T2_1=((intck('day',date_debut_grossesse_T2_1 ,Date_examen_T2_1)/7)-(floor((intck('day',date_debut_grossesse_T2_1 ,Date_examen_T2_1))/7)))*7; +ag_echo_T2_1=(age_echo_semaines_T2_1*7)+age_echo_jours_T2_1; +age_echo_semaines_T2_2=floor((intck('day',date_debut_grossesse_T2_2 ,Date_examen_T2_2))/7)+2; +age_echo_jours_T2_2=((intck('day',date_debut_grossesse_T2_2 ,Date_examen_T2_2)/7)-(floor((intck('day',date_debut_grossesse_T2_2 ,Date_examen_T2_2))/7)))*7; +ag_echo_T2_2=(age_echo_semaines_T2_2*7)+age_echo_jours_T2_2; +age_echo_semaines_T2_3=floor((intck('day',date_debut_grossesse_T2_3 ,Date_examen_T2_3))/7)+2; +age_echo_jours_T2_3=((intck('day',date_debut_grossesse_T2_3 ,Date_examen_T2_3)/7)-(floor((intck('day',date_debut_grossesse_T2_3 ,Date_examen_T2_3))/7)))*7; +ag_echo_T2_3=(age_echo_semaines_T2_3*7)+age_echo_jours_T2_3; +age_echo_semaines_T2_4=floor((intck('day',date_debut_grossesse_T2_4 ,Date_examen_T2_4))/7)+2; +age_echo_jours_T2_4=((intck('day',date_debut_grossesse_T2_4 ,Date_examen_T2_4)/7)-(floor((intck('day',date_debut_grossesse_T2_4 ,Date_examen_T2_4))/7)))*7; +ag_echo_T2_4=(age_echo_semaines_T2_4*7)+age_echo_jours_T2_4; +diff_ag_T2_1=abs(intck('day',ag_ddr_T2_1,ag_echo_T2_1)); +if diff_ag_T2_1=. and ag_ddr_T2_1=. then AG_T2_1=ag_echo_T2_1; +else if diff_ag_T2_1<=7 then AG_T2_1=ag_ddr_T2_1; +else if diff_ag_T2_1>7 then AG_T2_1=ag_echo_T2_1; +diff_ag_T2_2=abs(intck('day',ag_ddr_T2_2,ag_echo_T2_2)); +if diff_ag_T2_2=. and ag_ddr_T2_2=. then AG_T2_2=ag_echo_T2_2; +else if diff_ag_T2_2<=7 then AG_T2_2=ag_ddr_T2_2; +else if diff_ag_T2_2>7 then AG_T2_2=ag_echo_T2_2; +diff_ag_T2_3=abs(intck('day',ag_ddr_T2_3,ag_echo_T2_3)); +if diff_ag_T2_3=. and ag_ddr_T2_3=. then AG_T2_3=ag_echo_T2_3; +else if diff_ag_T2_3<=7 then AG_T2_3=ag_ddr_T2_3; +else if diff_ag_T2_3>7 then AG_T2_3=ag_echo_T2_3; +diff_ag_T2_4=abs(intck('day',ag_ddr_T2_4,ag_echo_T2_4)); +if diff_ag_T2_4=. and ag_ddr_T2_4=. then AG_T2_4=ag_echo_T2_4; +else if diff_ag_T2_4<=7 then AG_T2_4=ag_ddr_T2_4; +else if diff_ag_T2_4>7 then AG_T2_4=ag_echo_T2_4; +array t{4} AG_T2_1 AG_T2_2 AG_T2_3 AG_T2_4; +do i=1 to 4; +nb_t2=sum(nb_t2,t{i} ne .); +end; +ag_med_T2_1=abs(AG_T2_1-152); +ag_med_T2_2=abs(AG_T2_2-152); +ag_med_T2_3=abs(AG_T2_3-152); +ag_med_T2_4=abs(AG_T2_4-152); +minAG_med=min(ag_med_T2_1,ag_med_T2_2,ag_med_T2_3,ag_med_T2_4); +if minAG_med=ag_med_T2_1 then do; + gestational_age=AG_T2_1; + exam_date=Date_examen_T2_1; + period_rank=""T2_1""; +end; +else if minAG_med=ag_med_T2_2 then do; + gestational_age=AG_T2_2; + exam_date=Date_examen_T2_2; + period_rank=""T2_2""; +end; +else if minAG_med=ag_med_T2_3 then do; + gestational_age=AG_T2_3; + exam_date=Date_examen_T2_3; + period_rank=""T2_3""; +end; +else if minAG_med=ag_med_T2_4 then do; + gestational_age=AG_T2_4; + exam_date=Date_examen_T2_4; + period_rank=""T2_4""; +end; +ga_us_t2=gestational_age;",,2,2 +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T3_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","Date_examen_T3_1,date_dernieres_regles_T3_2,Date_examen_T3_2,date_dernieres_regles_T3_3,Date_examen_T3_3,date_dernieres_regles_T3_4,Date_examen_T3_4,date_dernieres_regles_T3_5,Date_examen_T3_5,date_debut_grossesse_T3_1,date_debut_grossesse_T3_2,date_debut_grossesse_T3_3,date_debut_grossesse_T3_4,date_debut_grossesse_T3_5",ATHLETE,outcome_ath,ga_us_t,partial,final,,"ag_ddr_T3_1=intck('day',date_dernieres_regles_T3_1 ,Date_examen_T3_1); +ag_ddr_T3_2=intck('day',date_dernieres_regles_T3_2 ,Date_examen_T3_2); +ag_ddr_T3_3=intck('day',date_dernieres_regles_T3_3 ,Date_examen_T3_3); +ag_ddr_T3_4=intck('day',date_dernieres_regles_T3_4 ,Date_examen_T3_4); +ag_ddr_T3_5=intck('day',date_dernieres_regles_T3_5 ,Date_examen_T3_5); +age_echo_semaines_T3_1=floor((intck('day',date_debut_grossesse_T3_1 ,Date_examen_T3_1))/7)+2; +age_echo_jours_T3_1=((intck('day',date_debut_grossesse_T3_1 ,Date_examen_T3_1)/7)-(floor((intck('day',date_debut_grossesse_T3_1 ,Date_examen_T3_1))/7)))*7; +ag_echo_T3_1=(age_gest_semaines_T3_1*7)+age_gest_jours_T3_1; +age_echo_semaines_T3_2=floor((intck('day',date_debut_grossesse_T3_2 ,Date_examen_T3_2))/7)+2; +age_echo_jours_T3_2=((intck('day',date_debut_grossesse_T3_2 ,Date_examen_T3_2)/7)-(floor((intck('day',date_debut_grossesse_T3_2 ,Date_examen_T3_2))/7)))*7; +ag_echo_T3_2=(age_echo_semaines_T3_2*7)+age_echo_jours_T3_2; +age_echo_semaines_T3_3=floor((intck('day',date_debut_grossesse_T3_3 ,Date_examen_T3_3))/7)+2; +age_echo_jours_T3_3=((intck('day',date_debut_grossesse_T3_3 ,Date_examen_T3_3)/7)-(floor((intck('day',date_debut_grossesse_T3_3 ,Date_examen_T3_3))/7)))*7; +ag_echo_T3_3=(age_echo_semaines_T3_3*7)+age_echo_jours_T3_3; +age_echo_semaines_T3_4=floor((intck('day',date_debut_grossesse_T3_4 ,Date_examen_T3_4))/7)+2; +age_echo_jours_T3_4=((intck('day',date_debut_grossesse_T3_4 ,Date_examen_T3_4)/7)-(floor((intck('day',date_debut_grossesse_T3_4 ,Date_examen_T3_4))/7)))*7; +ag_echo_T3_4=(age_echo_semaines_T3_4*7)+age_echo_jours_T3_4; +age_echo_semaines_T3_5=floor((intck('day',date_debut_grossesse_T3_5 ,Date_examen_T3_5))/7)+2; +age_echo_jours_T3_5=((intck('day',date_debut_grossesse_T3_5 ,Date_examen_T3_5)/7)-(floor((intck('day',date_debut_grossesse_T3_5 ,Date_examen_T3_5))/7)))*7; +ag_echo_T3_5=(age_echo_semaines_T3_5*7)+age_echo_jours_T3_5; +diff_ag_T3_1=abs(intck('day',ag_ddr_T3_1,ag_echo_T3_1)); +if diff_ag_T3_1=. and ag_ddr_T3_1=. then AG_T3_1=ag_echo_T3_1; +else if diff_ag_T3_1<=7 then AG_T3_1=ag_ddr_T3_1; +else if diff_ag_T3_1>7 then AG_T3_1=ag_echo_T3_1; +diff_ag_T3_2=abs(intck('day',ag_ddr_T3_2,ag_echo_T3_2)); +if diff_ag_T3_2=. and ag_ddr_T3_2=. then AG_T3_2=ag_echo_T3_2; +else if diff_ag_T3_2<=7 then AG_T3_2=ag_ddr_T3_2; +else if diff_ag_T3_2>7 then AG_T3_2=ag_echo_T3_2; +diff_ag_T3_3=abs(intck('day',ag_ddr_T3_3,ag_echo_T3_3)); +if diff_ag_T3_3=. and ag_ddr_T3_3=. then AG_T3_3=ag_echo_T3_3; +else if diff_ag_T3_3<=7 then AG_T3_3=ag_ddr_T3_3; +else if diff_ag_T3_3>7 then AG_T3_3=ag_echo_T3_3; +diff_ag_T3_4=abs(intck('day',ag_ddr_T3_4,ag_echo_T3_4)); +if diff_ag_T3_4=. and ag_ddr_T3_4=. then AG_T3_4=ag_echo_T3_4; +else if diff_ag_T3_4<=7 then AG_T3_4=ag_ddr_T3_4; +else if diff_ag_T3_4>7 then AG_T3_4=ag_echo_T3_4; +diff_ag_T3_5=abs(intck('day',ag_ddr_T3_5,ag_echo_T3_5)); +if diff_ag_T3_5=. and ag_ddr_T3_5=. then AG_T3_5=ag_echo_T3_5; +else if diff_ag_T3_5<=7 then AG_T3_5=ag_ddr_T3_5; +else if diff_ag_T3_5>7 then AG_T3_5=ag_echo_T3_5; +array t{5} AG_T3_1 AG_T3_2 AG_T3_3 AG_T3_4 AG_T3_5; +do i=1 to 5; +nb_T3=sum(nb_T3,t{i} ne .); +end; +ag_med_T3_1=abs(AG_T3_1-227); +ag_med_T3_2=abs(AG_T3_2-227); +ag_med_T3_3=abs(AG_T3_3-227); +ag_med_T3_4=abs(AG_T3_4-227); +ag_med_T3_5=abs(AG_T3_5-227); +minAG_med=min(ag_med_T3_1,ag_med_T3_2,ag_med_T3_3,ag_med_T3_4,ag_med_T3_5); +if minAG_med=ag_med_T3_1 then do; + gestational_age=AG_T3_1; + exam_date=Date_examen_T3_1; + period_rank=""T3_1""; +end; +else if minAG_med=ag_med_T3_2 then do; + gestational_age=AG_T3_2; + exam_date=Date_examen_T3_2; + period_rank=""T3_2""; +end; +else if minAG_med=ag_med_T3_3 then do; + gestational_age=AG_T3_3; +exam_date=Date_examen_T3_3; + period_rank=""T3_3""; +end; +else if minAG_med=ag_med_T3_4 then do; + gestational_age=AG_T3_4; + exam_date=Date_examen_T3_4; + period_rank=""T3_4""; +end; +else if minAG_med=ag_med_T3_5 then do; + gestational_age=AG_T3_5; + exam_date=Date_examen_T3_5; + period_rank=""T3_5""; +end; +ga_us_t3=gestational_age;",,3,3 +Sepages,Ultrasound_all_SLC_20220428_893,lcc_T1_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","lcc_T1_2,lcc_T1_3",ATHLETE,outcome_ath,CRL_t,partial,final,,"if period_rank=""T1_1"" then do; + outcome_val=strip(put(lcc_T1_1,best.)); +end; +else if period_rank=""T1_2"" then do; + outcome_val=strip(put(lcc_T1_2,best.)); +end; +else if period_rank=""T1_3"" then do; + outcome_val=strip(put(lcc_T1_3,best.)); +end; +CRL_t1=outcome_val;",,1,1 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","biometrie_bip_T1_2,biometrie_bip_T1_3",ATHLETE,outcome_ath,fetus_biparietal_diam_t,partial,final,,"if period_rank=""T1_1"" then do; + outcome_val=strip(put(biometrie_bip_T1_1,best.)); +end; +else if period_rank=""T1_2"" then do; + outcome_val=strip(put(biometrie_bip_T1_2,best.)); +end; +else if period_rank=""T1_3"" then do; + outcome_val=strip(put(biometrie_bip_T1_3,best.)); +end; +biparietal_diam_t1=outcome_val;",,1,1 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T2_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","biometrie_bip_T2_2,biometrie_bip_T2_3,biometrie_bip_T2_4",ATHLETE,outcome_ath,fetus_biparietal_diam_t,partial,final,,"if period_rank=""T2_1"" then do; + outcome_val=strip(put(biometrie_bip_T2_1,best.)); +end; +else if period_rank=""T2_2"" then do; + outcome_val=strip(put(biometrie_bip_T2_2,best.)); +end; +else if period_rank=""T2_3"" then do; + outcome_val=strip(put(biometrie_bip_T2_3,best.)); +end; +else if period_rank=""T2_4"" then do; + outcome_val=strip(put(biometrie_bip_T2_4,best.)); +end; +fetus_biparietal_diam_t2=outcome_val;",,2,2 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T3_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","biometrie_bip_T3_2,biometrie_bip_T3_3,biometrie_bip_T3_4,biometrie_bip_T3_5",ATHLETE,outcome_ath,fetus_biparietal_diam_t,partial,final,,"if period_rank=""T3_1"" then do; + outcome_val=strip(put(biometrie_bip_T3_1,best.)); +end; +else if period_rank=""T3_2"" then do; + outcome_val=strip(put(biometrie_bip_T3_2,best.)); +end; +else if period_rank=""T3_3"" then do; + outcome_val=strip(put(biometrie_bip_T3_3,best.)); +end; +else if period_rank=""T3_4"" then do; + outcome_val=strip(put(biometrie_bip_T3_4,best.)); +end; +else if period_rank=""T3_5"" then do; + outcome_val=strip(put(biometrie_bip_T3_5,best.)); +end; +fetus_biparietal_diam_t3=outcome_val;",,3,3 +Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE,outcome_ath,fetus_weight_t,partial,final,,fetus_weight_t2 = 10**(1.326 - 0.00326*fetus_abd_circum_t2*fetus_femur_length_t2 + 0.0107*fetus_head_circum_t2 + 0.0438*fetus_abd_circum_t2 + 0.158*fetus_femur_length_t2);,,2,2 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T2_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","perimetre_cranien_T2_2,perimetre_cranien_T2_3,perimetre_cranien_T2_4",ATHLETE,outcome_ath,fetus_head_circum_t,partial,final,,"if period_rank=""T2_1"" then do; + outcome_val=strip(put(perimetre_cranien_T2_1,best.)); +end; +else if period_rank=""T2_2"" then do; + outcome_val=strip(put(perimetre_cranien_T2_2,best.)); +end; +else if period_rank=""T2_3"" then do; + outcome_val=strip(put(perimetre_cranien_T2_3,best.)); +end; +else if period_rank=""T2_4"" then do; + outcome_val=strip(put(perimetre_cranien_T2_4,best.)); +end; +fetus_head_circum_t2=outcome_val;",,2,2 +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T2_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","longueur_femur_T2_2,longueur_femur_T2_3,longueur_femur_T2_4",ATHLETE,outcome_ath,fetus_femur_length_t,partial,final,,"if period_rank=""T2_1"" then do; + outcome_val=strip(put(longueur_femur_T2_1,best.)); +end; +else if period_rank=""T2_2"" then do; + outcome_val=strip(put(longueur_femur_T2_2,best.)); +end; +else if period_rank=""T2_3"" then do; + outcome_val=strip(put(longueur_femur_T2_3,best.)); +end; +else if period_rank=""T2_4"" then do; + outcome_val=strip(put(longueur_femur_T2_4,best.)); +end; +fetus_femur_length_t2=outcome_val;",,2,2 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T3_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","perimetre_cranien_T3_2,perimetre_cranien_T3_3,perimetre_cranien_T3_4,perimetre_cranien_T3_5",ATHLETE,outcome_ath,fetus_head_circum_t,partial,final,,"if period_rank=""T3_1"" then do; + outcome_val=strip(put(perimetre_cranien_T3_1,best.)); +end; +else if period_rank=""T3_2"" then do; + outcome_val=strip(put(perimetre_cranien_T3_2,best.)); +end; +else if period_rank=""T3_3"" then do; + outcome_val=strip(put(perimetre_cranien_T3_3,best.)); +end; +else if period_rank=""T3_4"" then do; + outcome_val=strip(put(perimetre_cranien_T3_4,best.)); +end; +else if period_rank=""T3_5"" then do; + outcome_val=strip(put(perimetre_cranien_T3_5,best.)); +end;",,3,3 +Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE,outcome_ath,fetus_weight_t,partial,final,,fetus_weight_t3 = 10**(1.326 - 0.00326*fetus_abd_circum_t3*fetus_femur_length_t3 + 0.0107*fetus_head_circum_t3 + 0.0438*fetus_abd_circum_t3 + 0.158*fetus_femur_length_t3);,,3,3 +Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE,outcome_ath,biparietal_diam_sdsWHO_t,partial,final,,RScript standardization fetal growth ATHLETE_v2.1,,2,"2, 3" +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T2_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","perimetre_abdominal_T2_2,perimetre_abdominal_T2_3,perimetre_abdominal_T2_4",ATHLETE,outcome_ath,fetus_abd_circum_t,partial,final,,"if period_rank=""T2_1"" then do; + outcome_val=strip(put(perimetre_abdominal_T2_1,best.)); +end; +else if period_rank=""T2_2"" then do; + outcome_val=strip(put(perimetre_abdominal_T2_2,best.)); +end; +else if period_rank=""T2_3"" then do; + outcome_val=strip(put(perimetre_abdominal_T2_3,best.)); +end; +else if period_rank=""T2_4"" then do; + outcome_val=strip(put(perimetre_abdominal_T2_4,best.)); +end; +fetus_abd_circum_t2=outcome_val;",,2,2 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T3_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","perimetre_abdominal_T3_2,perimetre_abdominal_T3_3,perimetre_abdominal_T3_4,perimetre_abdominal_T3_5",ATHLETE,outcome_ath,fetus_abd_circum_t,partial,final,,"if period_rank=""T3_1"" then do; + outcome_val=strip(put(perimetre_abdominal_T3_1,best.)); +end; +else if period_rank=""T3_2"" then do; + outcome_val=strip(put(perimetre_abdominal_T3_2,best.)); +end; +else if period_rank=""T3_3"" then do; + outcome_val=strip(put(perimetre_abdominal_T3_3,best.)); +end; +else if period_rank=""T3_4"" then do; + outcome_val=strip(put(perimetre_abdominal_T3_4,best.)); +end; +else if period_rank=""T3_5"" then do; + outcome_val=strip(put(perimetre_abdominal_T3_5,best.)); +end; +fetus_abd_circum_t3=outcome_val;",,3,3 +Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE,outcome_ath,head_circum_sdsWHO_t,partial,final,,RScript standardization fetal growth ATHLETE_v2.1,,3,"2, 3" +Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE,outcome_ath,abd_circum_sdsWHO_t,partial,final,,RScript standardization fetal growth ATHLETE_v2.1,,3,"2, 3" +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T3_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","longueur_femur_T3_2,longueur_femur_T3_3,longueur_femur_T3_4,longueur_femur_T3_5",ATHLETE,outcome_ath,fetus_femur_length_t,partial,final,,"if period_rank=""T3_1"" then do; + outcome_val=strip(put(longueur_femur_T3_1,best.)); +end; +else if period_rank=""T3_2"" then do; + outcome_val=strip(put(longueur_femur_T3_2,best.)); +end; +else if period_rank=""T3_3"" then do; + outcome_val=strip(put(longueur_femur_T3_3,best.)); +end; +else if period_rank=""T3_4"" then do; + outcome_val=strip(put(longueur_femur_T3_4,best.)); +end; +else if period_rank=""T3_5"" then do; + outcome_val=strip(put(longueur_femur_T3_5,best.)); +end; +fetus_femur_length_t3=outcome_val;",,3,3 +G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle,outcome,dbp_,complete,,,"dataset1 <- dataset[, c(1:2)] +for (i in 0:215){ + y <- paste(""dbp_"", i, sep="""") + if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ + dataset1[c(y)] <- NA + next + } + + t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] + colnames(t) <- c(""familiaID"", ""membroID"", y) + dataset1 <- dataset1 %>% + left_join(t, by=c('familiaID', 'membroID')) +} + +temp1<- dataset1 + +dataset1 <- dataset[, c(1:2)] +for (i in 0:215){ + y <- paste(""dbp_"", i, sep="""") + if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ + dataset1[c(y)] <- NA + next + } + + t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] + colnames(t) <- c(""familiaID"", ""membroID"", y) + dataset1 <- dataset1 %>% + left_join(t, by=c('familiaID', 'membroID')) +} + +temp2 <- dataset1 + +dataset1 <- dataset[, c(1:2)] +for (i in 0:215){ + y <- paste(""dbp_"", i, sep="""") + if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ + dataset1[c(y)] <- NA + next + } + + t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] + colnames(t) <- c(""familiaID"", ""membroID"", y) + dataset1 <- dataset1 %>% + left_join(t, by=c('familiaID', 'membroID')) +} + +temp3 <- dataset1 + +dataset1 <- dataset[, c(1:2)] +for (i in 0:215){ + y <- paste(""dbp_"", i, sep="""") + if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ + dataset1[c(y)] <- NA + next + } + + t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] + colnames(t) <- c(""familiaID"", ""membroID"", y) + dataset1 <- dataset1 %>% + left_join(t, by=c('familiaID', 'membroID')) +} + +temp4 <- dataset1 + + +table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])",,2,"0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215" +testCohort3,test dataset for testCohort3,var7,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,7,7 +testCohort3,test dataset for testCohort3,var1,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,1,1 +testCohort3,test dataset for testCohort3,var2,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,2,2 +testCohort3,test dataset for testCohort3,var3,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,3,3 +testCohort3,test dataset for testCohort3,var4,,,testNetwork1,cdm_1,testVarRepeats_,partial,,some description,some syntax,,4,4 +testCohort3,test dataset for testCohort3,var1,,,testNetwork1,cdm_1,testVarLang3Vir,partial,,test descrip,test syntax,,1,1 +testCohort3,test dataset for testCohort3,var2,,,testNetwork1,cdm_1,testVarVir,complete,,test descrip,test syntax,,2,2 +testCohort3,test dataset for testCohort3,var5,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,5,5 +testCohort3,test dataset for testCohort3,var6,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,6,6 +testCohort3,test dataset for testCohort3,var8,,,testNetwork1,cdm_1,testVarRepeats_,partial,,some description,some syntax,,8,8 +testCohort3,test dataset for testCohort3,var9,,,testNetwork1,cdm_1,testVarRepeats_,partial,,some description,some syntax,,9,9 +testCohort3,test dataset for testCohort3,var10,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,10,10 +testCohort3,test dataset for testCohort3,var11,,,testNetwork1,cdm_1,testVarNoRepeats,partial,,some description,some syntax,,, +testCohort2,test dataset for testCohort2,var5,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,5,5 +testCohort2,test dataset for testCohort2,var6,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,6,6 +testCohort2,test dataset for testCohort2,var7,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,7,7 +testCohort2,test dataset for testCohort2,var8,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,8,8 +testCohort2,test dataset for testCohort2,var9,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,9,9 +testCohort2,test dataset for testCohort2,var10,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,10,10 +testCohort2,test dataset for testCohort2,var11,,,testNetwork1,cdm_1,testVarNoRepeats,na,,some description,,,, +testCohort2,test dataset for testCohort2,var1,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,1,1 +testCohort2,test dataset for testCohort2,var2,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,2,2 +testCohort2,test dataset for testCohort2,var3,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,3,3 +testCohort2,test dataset for testCohort2,var4,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,4,4 +testCohort2,test dataset for testCohort2,var2,,,LifeCycle,core,ga_lmp,complete,final,In original variable was reported in weeks and was recalculated for days,COMPUTE ga_lmp= C6600Q_F12v095 * 7 + 3.5.,,, +testCohort1,test dataset for testCohort1,var1,,,testNetwork1,cdm_1,testVarLang,complete,,test descrip,test syntax,,1,1 +testCohort1,test dataset for testCohort1,var1,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,1,1 +testCohort1,test dataset for testCohort1,var2,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,2,2 +testCohort1,test dataset for testCohort1,var3,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,3,3 +testCohort1,test dataset for testCohort1,var4,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,4,4 +testCohort1,test dataset for testCohort1,var5,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,5,5 +testCohort1,test dataset for testCohort1,var6,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,6,6 +testCohort1,test dataset for testCohort1,var7,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,7,7 +testCohort1,test dataset for testCohort1,var8,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,8,8 +testCohort1,test dataset for testCohort1,var9,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,9,9 +testCohort1,test dataset for testCohort1,var10,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,10,10 +testCohort1,test dataset for testCohort1,var11,,,testNetwork1,cdm_1,testVarNoRepeats,complete,,some description,some syntax,,, +testCohort4,test dataset for testCohort4,var1,,,testNetwork1,cdm_1,testVarLang,partial,,test descrip,test syntax,,1,1 +testCohort4,test dataset for testCohort4,var2,,,testNetwork1,cdm_1,testVarLang3Vir,complete,,test descrip,test syntax,,1,1 +testCohort4,test dataset for testCohort4,var3,,,testNetwork1,cdm_1,testVarVir,partial,,test descrip,test syntax,,2,2 +testCohort4,test dataset for testCohort4,var1,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,1,1 +testCohort4,test dataset for testCohort4,var2,,,testNetwork1,cdm_1,testVarRepeats_,partial,,some description,some syntax,,2,2 +testCohort4,test dataset for testCohort4,var3,,,testNetwork1,cdm_1,testVarRepeats_,partial,,some description,some syntax,,3,3 +testCohort4,test dataset for testCohort4,var4,,,testNetwork1,cdm_1,testVarRepeats_,partial,,some description,some syntax,,4,4 +testCohort4,test dataset for testCohort4,var5,,,testNetwork1,cdm_1,testVarRepeats_,partial,,some description,some syntax,,5,5 +testCohort4,test dataset for testCohort4,var6,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,6,6 +testCohort4,test dataset for testCohort4,var7,,,testNetwork1,cdm_1,testVarRepeats_,partial,,some description,some syntax,,7,7 +testCohort4,test dataset for testCohort4,var8,,,testNetwork1,cdm_1,testVarRepeats_,complete,,some description,some syntax,,8,8 +testCohort4,test dataset for testCohort4,var9,,,testNetwork1,cdm_1,testVarRepeats_,partial,,some description,some syntax,,9,9 +testCohort4,test dataset for testCohort4,var10,,,testNetwork1,cdm_1,testVarRepeats_,na,,some description,,,10,10 +testCohort4,test dataset for testCohort4,var11,,,testNetwork1,cdm_1,testVarNoRepeats,partial,,some description,some syntax,,, +SPF,SPF,codfarm,,,OOM,MEDICINES,medicinal_product_id,complete,,,,,, +RMR,RMR,,,,OOM,SURVEY_OBSERVATIONS,so_source_column,complete,,As specified above,,,, +SPA,SPA,codpres,,,OOM,PROCEDURES,procedure_code,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst1_atc_code,complete,,,,,, +SPF,SPF,,,,OOM,MEDICINES,product_lot_number,complete,,,,,, +SPF,SPF,iduni,,,OOM,MEDICINES,person_id,complete,,,,,, +VCN,VCN,,,,OOM,VACCINES,origin_of_vx_record,complete,,‘VCN’,,,, +SPF,SPF,dataero,,,OOM,MEDICINES,date_dispensing,complete,,,,,, +SPF,SPF,,,,OOM,MEDICINES,date_prescription,complete,,Leave empty,,,, +SPF,SPF,,,,OOM,MEDICINES,meaning_of_drug_record,complete,,,,,, +RMR,RMR,,,,OOM,SURVEY_ID,survey_id,complete,,As specified above,,,, +AP,AP,,,,OOM,VISIT_OCCURRENCE,visit_occurrence_id,complete,,As specified above,,,, +AP,AP,dat_acc,,,OOM,VISIT_OCCURRENCE,visit_start_date,complete,,,,,, +AP,AP,,,,OOM,VISIT_OCCURRENCE,visit_end_date,complete,,Leave empty,,,, +RMR,RMR,,,,OOM,SURVEY_OBSERVATIONS,so_unit,complete,,,,,, +VCN,VCN,iduni,,,OOM,VACCINES,person_id,complete,,,,,, +RMR,RMR,iduni,,,OOM,SURVEY_ID,person_id,complete,,,,,, +AP,AP,,,,OOM,VISIT_OCCURRENCE,specialty_of_visit,complete,,Leave empty,,,, +SPF,SPF,,,,OOM,MEDICINES,prescriber_speciality_vocabulary,complete,,,,,, +SPF,SPF,,,,OOM,MEDICINES,visit_occurrence_id,complete,,Leave empty,,,, +AP,AP,,,,OOM,VISIT_OCCURRENCE,specialty_of_visit_vocabulary,complete,,Leave empty,,,, +AP,AP,,,,OOM,VISIT_OCCURRENCE,status_at_discharge,complete,,Leave empty,,,, +AP,AP,,,,OOM,VISIT_OCCURRENCE,status_at_discharge_vocabulary,complete,,Leave empty,,,, +SPF,SPF,,,,OOM,MEDICINES,prescriber_speciality,complete,,,,,, +AP,AP,,,,OOM,VISIT_OCCURRENCE,meaning_of_visit,complete,,‘pathology_report’,,,, +AP,AP,,,,OOM,VISIT_OCCURRENCE,origin_of_visit,complete,,‘AP’,,,, +SPF,SPF,,,,OOM,MEDICINES,presc_quantity_per_day,complete,,,,,, +AP,AP,iduni,,,OOM,MEDICAL_OBSERVATIONS,person_id,complete,,,,,, +AP,AP,dat_acc,,,OOM,MEDICAL_OBSERVATIONS,mo_date,complete,,,,,, +SPF,SPF,,,,OOM,MEDICINES,presc_duration_days,complete,,,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM,PERSONS,race,complete,,Leave_empty,,,, +RMR,RMR,,,,OOM,SURVEY_OBSERVATIONS,so_source_value,complete,,As specified above,,,, +RMR,RMR,,,,OOM,SURVEY_OBSERVATIONS,so_meaning,complete,,‘death_registry’,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,FINE_RECORD,,,OOM,OBSERVATION_PERIODS,op_end_date,complete,,,,,, +SALM,SALM,,,,OOM,EVENTS,end_date_record,complete,,,,,, +RMR,RMR,,,,OOM,SURVEY_OBSERVATIONS,so_origin,complete,,‘RMR’,,,, +RMR,RMR,,,,OOM,SURVEY_OBSERVATIONS,survey_id,complete,,As specified above,,,, +SALM,SALM,id_universale,,,OOM,EVENTS,person_id,complete,,,,,, +SALM,SALM,data,,,OOM,EVENTS,start_date_record,complete,,,,,, +ARS_PS,PS,diagnosi_princ,,,OOM,EVENTS,event_code,complete,,One record contains this variable and has event_free_text left empty; the other vice versa,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM,OBSERVATION_PERIODS,op_meaning,complete,,‘healthcare_office’,,,, +SPA,SPA,,,,OOM,VISIT_OCCURRENCE,status_at_discharge_vocabulary,complete,,Leave empty,,,, +SPA,SPA,,,,OOM,VISIT_OCCURRENCE,meaning_of_visit,complete,,‘oupatient_specialist_visit’,,,, +SPA,SPA,iduni,,,OOM,PROCEDURES,person_id,complete,,,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM,OBSERVATION_PERIODS,op_origin,complete,,‘ARS_ANAG_MED_RES_storico’,,,, +SPA,SPA,dataini,,,OOM,PROCEDURES,procedure_date,complete,,,,,, +ARS_PS,PS,iduni,,,OOM,EVENTS,person_id,complete,,,,,, +ARS_PS,PS,data_inizio_trattamento,,,OOM,EVENTS,start_date_record,complete,,,,,, +ARS_PS,PS,data_dimi,,,OOM,EVENTS,end_date_record,complete,,,,,, +SPA,SPA,,,,OOM,PROCEDURES,procedure_code_vocabulary,complete,,ITA_procedures_coding_system,,,, +AP,AP,,,,OOM,MEDICAL_OBSERVATIONS,mo_code,complete,,For columns containing codes: fill with the value of the column; for the others: leave empty,,,, +ARS_PS,PS,,,,OOM,EVENTS,event_record_vocabulary,complete,,"‘ICD9’ if event_code is compiled, ‘free_text_italian’ otherwise",,,, +ARS_PS,PS,,,,OOM,EVENTS,text_linked_to_event_code,complete,,,,,, +AP,AP,,,,OOM,MEDICAL_OBSERVATIONS,mo_source_column,complete,,Name of the column,,,, +AP,AP,,,,OOM,MEDICAL_OBSERVATIONS,mo_source_value,complete,,For columns containing codes: leave empty; for the others: fill with the value of the column,,,, +AP,AP,,,,OOM,MEDICAL_OBSERVATIONS,mo_unit,complete,,Leave empty,,,, +ARS_PS,PS,prognosi_testo,,,OOM,EVENTS,event_free_text,complete,,One record contains this variable and has event_free_text left empty; the other vice versa,,,, +AP,AP,,,,OOM,MEDICAL_OBSERVATIONS,mo_meaning,complete,,‘pathology_report’,,,, +ARS_PS,PS,,,,OOM,EVENTS,present_on_admission,complete,,"‘yes’ if event_free_text is compiled, empty otherwise",,,, +AP,AP,,,,OOM,MEDICAL_OBSERVATIONS,mo_origin,complete,,‘AP’,,,, +ARS_PS,PS,,,,OOM,EVENTS,meaning_of_event,complete,,"‘emergency_room_diagnosis’ if event_code is compiled, ‘emergency_room_presentation’ otherwise",,,, +SPA,SPA,,,,OOM,PROCEDURES,visit_occurrence_id,complete,,Leave empty,,,, +ARS_PS,PS,,,,OOM,EVENTS,origin_of_event,complete,,‘PS’,,,, +ARS_PS,PS,,,,OOM,EVENTS,visit_occurrence_id,complete,,Leave empty,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,medicinal_product_atc_code,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst2_atc_code,complete,,,,,, +SALM,SALM,"diagnosi_principale,comorbidita_1,comorbidita_2",,,OOM,EVENTS,event_code,complete,,,,DIAGNOSI_PRINCIPALE or COMORBIDITA_1 or COMORBIDITA_2,, +SALM,SALM,,,,OOM,EVENTS,event_record_vocabulary,complete,,"‘ICD9’ if SETTORE=’1’ +‘ICD10’ if SETTORE=’2’",,,, +SALM,SALM,,,,OOM,EVENTS,text_linked_to_event_code,complete,,Leave empty,,,, +SALM,SALM,,,,OOM,EVENTS,event_free_text,complete,,Leave empty,,,, +SALM,SALM,,,,OOM,EVENTS,present_on_admission,complete,,‘yes’,,,, +SALM,SALM,,,,OOM,EVENTS,meaning_of_event,complete,,"For records originated by DIAGNOSI_PRINCIPALE: ‘access_to_mental_health_service_primary’ +Otherwise: +‘access_to_mental_health_service_comorbidity’",,,, +SALM,SALM,,,,OOM,EVENTS,origin_of_event,complete,,‘SALM’,,,, +SALM,SALM,,,,OOM,EVENTS,visit_occurrence_id,complete,,Leave empty,,,, +SEA,SEA,iduni,,,OOM,EVENTS,person_id,complete,,,,,, +SEA,SEA,rilascio,,,OOM,EVENTS,start_date_record,complete,,,,,, +SEA,SEA,,,,OOM,EVENTS,end_date_record,complete,,Leave empty,,,, +SEA,SEA,icd9cm,,,OOM,EVENTS,event_code,complete,,,,,, +SEA,SEA,,,,OOM,EVENTS,event_record_vocabulary,complete,,‘ICD9’,,,, +SEA,SEA,,,,OOM,EVENTS,text_linked_to_event_code,complete,,Leave empty,,,, +SEA,SEA,,,,OOM,EVENTS,event_free_text,complete,,Leave empty,,,, +SEA,SEA,,,,OOM,EVENTS,present_on_admission,complete,,Leave empty,,,, +SEA,SEA,,,,OOM,EVENTS,meaning_of_event,complete,,‘exemption’,,,, +SEA,SEA,,,,OOM,EVENTS,origin_of_event,complete,,‘SEA’,,,, +SEA,SEA,,,,OOM,EVENTS,visit_occurrence_id,complete,,Leave empty,,,, +SPA,SPA,,,,OOM,VISIT_OCCURRENCE,visit_end_date,complete,,Leave empty,,,, +SPA,SPA,speciali,,,OOM,VISIT_OCCURRENCE,specialty_of_visit,complete,,,,,, +SPA,SPA,,,,OOM,VISIT_OCCURRENCE,specialty_of_visit_vocabulary,complete,,‘SPA.SPECIALI’,,,, +SPA,SPA,,,,OOM,VISIT_OCCURRENCE,status_at_discharge,complete,,Leave empty,,,, +VCN,VCN,data_somministrazione,,,OOM,VACCINES,vx_record_date,complete,,,,,, +VCN,VCN,data_somministrazione,,,OOM,VACCINES,vx_admin_date,complete,,,,,, +VCN,VCN,cod_atc_vaccino,,,OOM,VACCINES,vx_atc,complete,,,,Changed name,, +AP,AP,,,,OOM,MEDICAL_OBSERVATIONS,visit_occurrence_id,complete,,As specified above,,,, +VCN,VCN,,,,OOM,VACCINES,vx_type,complete,,Leave empty,,,, +VCN,VCN,,,,OOM,VACCINES,vx_text,complete,,Leave empty,,,, +AP,AP,,,,OOM,MEDICAL_OBSERVATIONS,mo_source_table,complete,,AP,,,, +VCN,VCN,cod_prestazione_vaccino,,,OOM,VACCINES,medicinal_product_id,complete,,,,,, +SPA,SPA,,,,OOM,PROCEDURES,meaning_of_procedure,complete,,‘italian_outpatient’,,,, +VCN,VCN,,,,OOM,VACCINES,meaning_of_vx_record,complete,,‘administration_of_vaccine_unspecified’,,,, +SPA,SPA,,,,OOM,PROCEDURES,origin_of_procedure,complete,,‘SPA’,,,, +VCN,VCN,dose_somministrata,,,OOM,VACCINES,vx_dose,complete,,,,,, +VCN,VCN,titolare_aic,,,OOM,VACCINES,vx_manufacturer,complete,,,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,ID_UNIVERSALE,,,OOM,PERSONS,person_id,complete,,,,Changed name,, +VCN,VCN,num_lotto,,,OOM,VACCINES,vx_lot_num,complete,,,,,, +VCN,VCN,,,,OOM,VACCINES,visit_occurrence_id,complete,,Leave empty,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM,PERSONS,day_of_birth,complete,,day(DATA_NASCITA),,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM,PERSONS,month_of_birth,complete,,month(DATA_NASCITA),,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM,PERSONS,year_of_birth,complete,,year(DATA_NASCITA),,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM,PERSONS,day_of_death,complete,,day(DATA_MORTE_MARSI),,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM,PERSONS,month_of_death,complete,,month(DATA_MORTE_MARSI),,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM,PERSONS,year_of_death,complete,,year (DATA_MORTE_MARSI),,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,ID_UNIVERSALE,,,OOM,OBSERVATION_PERIODS,person_id,complete,,,,Changed name,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,administration_dose_form,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst2_concentration,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,descrizione,,,OOM,PRODUCTS,medicinal_product_name,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,unit_of_presentation_type,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,unit_of_presentation_num,complete,,,,,, +SPA,SPA,dataini,,,OOM,VISIT_OCCURRENCE,visit_start_date,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,administration_route,complete,,,,,, +AP,AP,iduni,,,OOM,VISIT_OCCURRENCE,person_id,complete,,,,,, +RMR,RMR,,,,OOM,SURVEY_OBSERVATIONS,so_source_table,complete,,RMR,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst3_atc_code,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst1_amount_per_form,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst2_amount_per_form,complete,,,,,, +SPA,SPA,iduni,,,OOM,VISIT_OCCURRENCE,person_id,complete,,,,,, +SPF,SPF,cod_atc5,,,OOM,MEDICINES,medicinal_product_atc_code,complete,,,,,, +SPA,SPA,,,,OOM,VISIT_OCCURRENCE,visit_occurrence_id,complete,,As specified above,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst3_amount_per_form,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst1_amount_unit,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst2_amount_unit,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst3_amount_unit,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst1_concentration,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst3_concentration,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst1_concentration_unit,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst2_concentration_unit,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,subst3_concentration_unit,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,concentration_total_content,complete,,,,,, +SPA,SPA,,,,OOM,VISIT_OCCURRENCE,origin_of_visit,complete,,‘SPA’,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,concentration_total_content_unit,complete,,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM,PRODUCTS,medicinal_product_manufacturer,complete,,,,,, +SPF,SPF,,,,OOM,MEDICINES,inidication_code,complete,,,,,, +SPF,SPF,,,,OOM,MEDICINES,indication_code_vocabulary,complete,,,,,, +RMR,RMR,iduni,,,OOM,SURVEY_OBSERVATIONS,person_id,complete,,,,,, +SPF,SPF,,,,OOM,MEDICINES,origin_of_drug_record,complete,,‘SPF’,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,codfarm,,,OOM,PRODUCTS,medicinal_product_id,complete,,,,,, +RMR,RMR,datmorte,,,OOM,SURVEY_ID,survey_date,complete,,,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM,PERSONS,country_of_birth,complete,,Leave_empty,,,, +RMR,RMR,,,,OOM,SURVEY_ID,survey_meaning,complete,,‘death_registry’,,,, +RMR,RMR,,,,OOM,SURVEY_ID,survey_origin,complete,,‘RMR’,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,SESSO,,,OOM,PERSONS,sex_at_instance_creation,complete,,"If there are discrepancies, use the most recent value",,,, +RMR,RMR,datmorte,,,OOM,SURVEY_OBSERVATIONS,so_date,complete,,,,,, +NFBC1966,wave_01,"ZP05,C6646Q2_41",,,LongITools,wave_01,hhincome_own,partial,final,"The variable is partially harmonised because categories were created by categorising household incomes into quartiles, not based on the national household income distribution in the year of follow-up","# household income at 31yr +sour[""hhincome_own31""] <- NA +sour$hhincome_own31[sour$ZP05 >= quantile(sour$ZP05, na.rm = T)[4]] <- 1 +sour$hhincome_own31[sour$ZP05 < quantile(sour$ZP05, na.rm = T)[4] & + sour$ZP05 >= quantile(sour$ZP05, na.rm = T)[3]] <- 2 +sour$hhincome_own31[sour$ZP05 < quantile(sour$ZP05, na.rm = T)[3] & + sour$ZP05 >= quantile(sour$ZP05, na.rm = T)[2]] <- 3 +sour$hhincome_own31[sour$ZP05 < quantile(sour$ZP05, na.rm = T)[2]] <- 4 + +# make the add_new function +add_new <- function(sour_data, sour_var, new_var, age, method) { + add <- sour_data[, c(""project_ID"", sour_var)] + add[""variable""] <- new_var + add[""measure""] <- add[,sour_var] + if(is.na(age)) { + add[""age""] <- NA + } else if(is.numeric(age)) { + add[""age""] <- age + } else { + add[""age""] <- sour_data[,age] + } + if(is.na(method)) { + add[""method""] <- NA + } else { + add[""method""] <- sour_data[,method] + } + add <- add[,c(""project_ID"", ""variable"", ""measure"", ""age"", ""method"")] + names(add) <- c(""id"", ""variable"", ""measure"", ""age"", ""method"") + add <- add[!is.na(add$measure),] +} + +add <- add_new(sour, ""hhincome_own31"", ""hhincome_own"", ""age31"", NA) +harm <- rbind(harm, add) + +# household income at 46yr +sour$C6646Q2_41[sour$C6646Q2_41 == "".""] <- NA +sour$C6646Q2_41[sour$C6646Q2_41 == """"] <- NA +sour$C6646Q2_41 <- as.numeric(sour$C6646Q2_41) +sour[""hhincome_own46""] <- NA +sour$hhincome_own46[sour$C6646Q2_41 >= quantile(sour$C6646Q2_41, na.rm = T)[4]] <- 1 +sour$hhincome_own46[sour$C6646Q2_41 < quantile(sour$C6646Q2_41, na.rm = T)[4] & + sour$C6646Q2_41 >= quantile(sour$C6646Q2_41, na.rm = T)[3]] <- 2 +sour$hhincome_own46[sour$C6646Q2_41 < quantile(sour$C6646Q2_41, na.rm = T)[3] & + sour$C6646Q2_41 >= quantile(sour$C6646Q2_41, na.rm = T)[2]] <- 3 +sour$hhincome_own46[sour$C6646Q2_41 < quantile(sour$C6646Q2_41, na.rm = T)[2]] <- 4 + +add <- add_new(sour, ""hhincome_own46"", ""hhincome_own"", ""age46"", NA) +harm <- rbind(harm, add)",,, +NFBC1966,wave_01,"ZP79,ZP80,ZP81,C6646Q1_39,C6646Q1_40,C6646Q1_41",,,LongITools,wave_01,smk_ever,complete,final,,"# smk_ever at 31yr + +sour[""smk_ever31""] <- NA +sour$smk_ever31[sour$ZP79 == 1 | sour$ZP80 == 1] <- 0 # Never +sour$smk_ever31[sour$ZP79 == 2 & sour$ZP80 == 2] <- 2 # Current smoker +sour$smk_ever31[(sour$ZP81 > 12 & sour$ZP81 < 31) & sour$ZP80 == 2] <- 1 # Former smoker + +# add new variable +add_new <- function(sour_data, sour_var, new_var, age, method) { + add <- sour_data[, c(""project_ID"", sour_var)] + add[""variable""] <- new_var + add[""measure""] <- add[,sour_var] + if(is.na(age)) { + add[""age""] <- NA + } else if(is.numeric(age)) { + add[""age""] <- age + } else { + add[""age""] <- sour_data[,age] + } + if(is.na(method)) { + add[""method""] <- NA + } else { + add[""method""] <- sour_data[,method] + } + add <- add[,c(""project_ID"", ""variable"", ""measure"", ""age"", ""method"")] + names(add) <- c(""id"", ""variable"", ""measure"", ""age"", ""method"") + add <- add[!is.na(add$measure),] +} + +add <- add_new(sour, ""smk_ever31"", ""smk_ever"", ""age31"", NA) +harm <- rbind(harm, add) + +# smk_ever at 46yr + +sour[""smk_ever46""] <- NA +sour$smk_ever46[sour$C6646Q1_39 == 1 | sour$C6646Q1_40 == 1] <- 0 # Never +sour$smk_ever46[sour$C6646Q1_39 == 2 & sour$C6646Q1_40 == 2] <- 2 # Current smoker +sour$smk_ever46[(sour$C6646Q1_41 > 12 & sour$C6646Q1_41 < 46) & sour$C6646Q1_40 == 2] <- 1 # Former smoker + +add <- add_new(sour, ""smk_ever46"", ""smk_ever"", ""age46"", NA) +harm <- rbind(harm, add)",,, +NFBC1966,wave_01,"ZP0402,C6646Q1_2,C6646Q1_2_2,C6646Q1_2_3,C6646Q1_2_2_1,C6646Q1_2_3_1",,,LongITools,wave_01,famsize_child_own,complete,final,,"# number of children in the household at 31yr + +sour[""famsize_child_own31""] <- sour$ZP0402 + +# add new variable +add_new <- function(sour_data, sour_var, new_var, age, method) { + add <- sour_data[, c(""project_ID"", sour_var)] + add[""variable""] <- new_var + add[""measure""] <- add[,sour_var] + if(is.na(age)) { + add[""age""] <- NA + } else if(is.numeric(age)) { + add[""age""] <- age + } else { + add[""age""] <- sour_data[,age] + } + if(is.na(method)) { + add[""method""] <- NA + } else { + add[""method""] <- sour_data[,method] + } + add <- add[,c(""project_ID"", ""variable"", ""measure"", ""age"", ""method"")] + names(add) <- c(""id"", ""variable"", ""measure"", ""age"", ""method"") + add <- add[!is.na(add$measure),] +} + +add <- add_new(sour, ""famsize_child_own31"", ""famsize_child_own"", ""age31"", NA) +harm <- rbind(harm, add) + +# number of chilren in the household at 46yr + +sour[""famsize_child_own46""] <- sour$C6646Q1_2_2_1 +sour$famsize_child_own46[is.na(sour$famsize_child_own46)] <- 0 +sour$famsize_child_own46 <- sour$famsize_child_own46 + sour$C6646Q1_2_3_1 +sour$famsize_child_own46[(sour$C6646Q1_2_2 == 1 & sour$C6646Q1_2_3 == 1) | sour$C6646Q1_2 == 1] <- 0 + +add <- add_new(sour, ""famsize_child_own46"", ""famsize_child_own"", ""age46"", NA) +harm <- rbind(harm, add)",,, +NFBC1966,wave_01,"ZP06,ZP07,C6646Q1_4,C6646Q1_5",,,LongITools,wave_01,edu,complete,final,,"# education at 31yr +sour[""edu31""] <- NA +sour$edu31[(sour$ZP06 == 3 & sour$ZP07 > 4) | sour$ZP07 == 6] <- 1 +sour$edu31[is.na(sour$edu31) & sour$ZP07 > 2] <- 2 +sour$edu31[is.na(sour$edu31) & (sour$ZP06 == 1 | sour$ZP07 > 0)] <- 3 + +# make the add_new function +add_new <- function(sour_data, sour_var, new_var, age, method) { + add <- sour_data[, c(""project_ID"", sour_var)] + add[""variable""] <- new_var + add[""measure""] <- add[,sour_var] + if(is.na(age)) { + add[""age""] <- NA + } else if(is.numeric(age)) { + add[""age""] <- age + } else { + add[""age""] <- sour_data[,age] + } + if(is.na(method)) { + add[""method""] <- NA + } else { + add[""method""] <- sour_data[,method] + } + add <- add[,c(""project_ID"", ""variable"", ""measure"", ""age"", ""method"")] + names(add) <- c(""id"", ""variable"", ""measure"", ""age"", ""method"") + add <- add[!is.na(add$measure),] +} + +# add new variable to harmonised variables table +add <- add_new(sour, ""edu31"", ""edu"", ""age31"", NA) +harm <- rbind(harm, add) + +# education at 46yr +sour[""edu46""] <- NA +sour$edu46[(sour$C6646Q1_4 == 3 & sour$C6646Q1_5 > 4) | sour$C6646Q1_5 == 6] <- 1 +sour$edu46[is.na(sour$edu46) & sour$C6646Q1_5 > 2] <- 2 +sour$edu46[is.na(sour$edu46) & (sour$C6646Q1_4 == 1 | sour$C6646Q1_5 > 0)] <- 3 + +# add new variable to harmonised variables table +add <- add_new(sour, ""edu46"", ""edu"", ""age46"", NA) +harm <- rbind(harm, add)",,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM,PERSONS,quality,complete,,‘reliable’,,,, +NFBC1966,wave_01,"C6646Q2_5_82_1,C6646Q2_5_82_2,C6646Q2_5_82_3,C6646Q2_5_82_4,C6646Q2_5_82_5,C6646Q2_5_82_6,C6646Q2_5_82_7,C6646Q2_5_83_1,C6646Q2_5_83_2,C6646Q2_5_83_3,C6646Q2_5_83_4,C6646Q2_5_83_5,C6646Q2_5_83_6,C6646Q2_5_83_7,C6646Q2_5_84_1,C6646Q2_5_84_2,C6646Q2_5_84_3,C6646Q2_5_84_4,C6646Q2_5_84_5,C6646Q2_5_84_6,C6646Q2_5_84_7,C6646Q2_5_85_1,C6646Q2_5_85_2,C6646Q2_5_85_3,C6646Q2_5_85_4,C6646Q2_5_85_5,C6646Q2_5_85_6,C6646Q2_5_85_7,C6646Q2_5_86_1,C6646Q2_5_86_2,C6646Q2_5_86_3,C6646Q2_5_86_4,C6646Q2_5_86_5,C6646Q2_5_86_6,C6646Q2_5_86_7,C6646Q2_5_87_1,C6646Q2_5_87_2,C6646Q2_5_87_3,C6646Q2_5_87_4,C6646Q2_5_87_5,C6646Q2_5_87_6,C6646Q2_5_87_7,C6646Q2_5_88_1,C6646Q2_5_88_2,C6646Q2_5_88_3,C6646Q2_5_88_4,C6646Q2_5_88_5,C6646Q2_5_88_6,C6646Q2_5_88_7,C6646Q2_5_89_1,C6646Q2_5_89_2,C6646Q2_5_89_3,C6646Q2_5_89_4,C6646Q2_5_89_5,C6646Q2_5_89_6,C6646Q2_5_89_7,C6646Q2_5_90_1,C6646Q2_5_90_2,C6646Q2_5_90_3,C6646Q2_5_90_4,C6646Q2_5_90_5,C6646Q2_5_90_6,C6646Q2_5_90_7,C6646Q2_5_91_1,C6646Q2_5_91_2,C6646Q2_5_91_3,C6646Q2_5_91_4,C6646Q2_5_91_5,C6646Q2_5_91_6,C6646Q2_5_91_7,C6646Q2_5_92_1,C6646Q2_5_92_2,C6646Q2_5_92_3,C6646Q2_5_92_4,C6646Q2_5_92_5,C6646Q2_5_92_6,C6646Q2_5_92_7,C6646Q2_5_93_1,C6646Q2_5_93_2,C6646Q2_5_93_3,C6646Q2_5_93_4,C6646Q2_5_93_5,C6646Q2_5_93_6,C6646Q2_5_93_7,C6646Q2_5_94_1,C6646Q2_5_94_2,C6646Q2_5_94_3,C6646Q2_5_94_4,C6646Q2_5_94_5,C6646Q2_5_94_6,C6646Q2_5_94_7,C6646Q2_5_95_1,C6646Q2_5_95_2,C6646Q2_5_95_3,C6646Q2_5_95_4,C6646Q2_5_95_5,C6646Q2_5_95_6,C6646Q2_5_95_7,C6646Q2_5_96_1,C6646Q2_5_96_2,C6646Q2_5_96_3,C6646Q2_5_96_4,C6646Q2_5_96_5,C6646Q2_5_96_6,C6646Q2_5_96_7,C6646Q2_5_97_1,C6646Q2_5_97_2,C6646Q2_5_97_3,C6646Q2_5_97_4,C6646Q2_5_97_5,C6646Q2_5_97_6,C6646Q2_5_97_7,C6646Q2_5_98_1,C6646Q2_5_98_2,C6646Q2_5_98_3,C6646Q2_5_98_4,C6646Q2_5_98_5,C6646Q2_5_98_6,C6646Q2_5_98_7,C6646Q2_5_99_1,C6646Q2_5_99_2,C6646Q2_5_99_3,C6646Q2_5_99_4,C6646Q2_5_99_5,C6646Q2_5_99_6,C6646Q2_5_99_7,C6646Q2_5_00_1,C6646Q2_5_00_2,C6646Q2_5_00_3,C6646Q2_5_00_4,C6646Q2_5_00_5,C6646Q2_5_00_6,C6646Q2_5_00_7,C6646Q2_5_01_1,C6646Q2_5_01_2,C6646Q2_5_01_3,C6646Q2_5_01_4,C6646Q2_5_01_5,C6646Q2_5_01_6,C6646Q2_5_01_7,C6646Q2_5_02_1,C6646Q2_5_02_2,C6646Q2_5_02_3,C6646Q2_5_02_4,C6646Q2_5_02_5,C6646Q2_5_02_6,C6646Q2_5_02_7,C6646Q2_5_03_1,C6646Q2_5_03_2,C6646Q2_5_03_3,C6646Q2_5_03_4,C6646Q2_5_03_5,C6646Q2_5_03_6,C6646Q2_5_03_7,C6646Q2_5_04_1,C6646Q2_5_04_2,C6646Q2_5_04_3,C6646Q2_5_04_4,C6646Q2_5_04_5,C6646Q2_5_04_6,C6646Q2_5_04_7,C6646Q2_5_05_1,C6646Q2_5_05_2,C6646Q2_5_05_3,C6646Q2_5_05_4,C6646Q2_5_05_5,C6646Q2_5_05_6,C6646Q2_5_05_7,C6646Q2_5_06_1,C6646Q2_5_06_2,C6646Q2_5_06_3,C6646Q2_5_06_4,C6646Q2_5_06_5,C6646Q2_5_06_6,C6646Q2_5_06_7,C6646Q2_5_07_1,C6646Q2_5_07_2,C6646Q2_5_07_3,C6646Q2_5_07_4,C6646Q2_5_07_5,C6646Q2_5_07_6,C6646Q2_5_07_7,C6646Q2_5_08_1,C6646Q2_5_08_2,C6646Q2_5_08_3,C6646Q2_5_08_4,C6646Q2_5_08_5,C6646Q2_5_08_6,C6646Q2_5_08_7,C6646Q2_5_09_1,C6646Q2_5_09_2,C6646Q2_5_09_3,C6646Q2_5_09_4,C6646Q2_5_09_5,C6646Q2_5_09_6,C6646Q2_5_09_7,C6646Q2_5_10_1,C6646Q2_5_10_2,C6646Q2_5_10_3,C6646Q2_5_10_4,C6646Q2_5_10_5,C6646Q2_5_10_6,C6646Q2_5_10_7,C6646Q2_5_11_1,C6646Q2_5_11_2,C6646Q2_5_11_3,C6646Q2_5_11_4,C6646Q2_5_11_5,C6646Q2_5_11_6,C6646Q2_5_11_7,ZP15,C6646Q2_1_1,C6646Q2_1_2,C6646Q2_1_3,C6646Q2_1_4,C6646Q2_1_5,C6646Q2_1_6,C6646Q2_1_7,C6646Q2_1_8,C6646Q2_1_9,C6646Q2_1_10,C6646Q2_1_11,C6646Q2_1_12,C6646Q2_1_13,C6646Q2_1_14,C6646Q2_1_15,C6646Q2_1_16,C6646Q2_1_17",,,LongITools,wave_01,occup,complete,final,,"# occupational status 1982-2011 asked in the 46yr questionnaire +which(colnames(sour)==""C6646Q2_5_82_1"") # 84 +which(colnames(sour)==""C6646Q2_5_11_7"") # 293 +varnames <- names(sour[,84:293]) +varnames <- substr(varnames,1,12) +varnames <- unique(varnames) + +for(i in varnames) { + year <- gsub(""C6646Q2_5_"", """", i) + year <- 1900 + as.numeric(year) + if (year < 1982) { + year <- gsub(""C6646Q2_5_"", """", i) + year <- gsub(""_.*"", """", year) + year <- 2000 + as.numeric(year) + } + var_name <- paste0(""occup"", year-1966) + sour[var_name] <- NA + orig_var1 <- paste0(i,""_"",1) + sour[var_name][sour[paste0(i,""_"",7)] == 7] <- 6 + sour[var_name][sour[paste0(i,""_"",6)] == 6] <- 5 + sour[var_name][sour[paste0(i,""_"",1)] == 1] <- 4 + sour[var_name][sour[paste0(i,""_"",5)] == 5] <- 3 + sour[var_name][sour[paste0(i,""_"",4)] == 4] <- 2 + sour[var_name][sour[paste0(i,""_"",2)] == 2] <- 1 + sour[var_name][sour[paste0(i,""_"",3)] == 3] <- 1 +} + +# occupational status in 31yr questioinnaire +sour$occup31[sour$ZP15 == 1 | sour$ZP15 == 2 | sour$ZP15 == 3] <- 1 +sour$occup31[sour$ZP15 == 4 | sour$ZP15 == 5] <- 2 +sour$occup31[sour$ZP15 == 7 | sour$ZP15 == 9 | sour$ZP15 == 12] <- 3 +sour$occup31[sour$ZP15 == 6 | sour$ZP15 == 8] <- 4 +sour$occup31[sour$ZP15 == 10] <- 5 +sour$occup31[sour$ZP15 == 11] <- 6 + +# occupational status in 46yr questioinnaire +sour[""occup46""] <- NA +sour$occup46[sour$C6646Q2_1_15 == 15] <- 6 +sour$occup46[sour$C6646Q2_1_14 == 14 | sour$C6646Q2_1_16 == 16] <- 5 +sour$occup46[sour$C6646Q2_1_7 == 7 | sour$C6646Q2_1_8 == 8 | sour$C6646Q2_1_12 == 12] <- 4 +sour$occup46[sour$C6646Q2_1_9 == 9 | sour$C6646Q2_1_10 == 10 | sour$C6646Q2_1_11 == 11 | sour$C6646Q2_1_13 == 13] <- 3 +sour$occup46[sour$C6646Q2_1_5 == 5 | sour$C6646Q2_1_6 == 6] <- 2 +sour$occup46[sour$C6646Q2_1_1 == 1 | sour$C6646Q2_1_2 == 2 | sour$C6646Q2_1_3 == 3 | sour$C6646Q2_1_4 == 4] <- 1 + +# make the add_new function +add_new <- function(sour_data, sour_var, new_var, age, method) { + add <- sour_data[, c(""project_ID"", sour_var)] + add[""variable""] <- new_var + add[""measure""] <- add[,sour_var] + if(is.na(age)) { + add[""age""] <- NA + } else if(is.numeric(age)) { + add[""age""] <- age + } else { + add[""age""] <- sour_data[,age] + } + if(is.na(method)) { + add[""method""] <- NA + } else { + add[""method""] <- sour_data[,method] + } + add <- add[,c(""project_ID"", ""variable"", ""measure"", ""age"", ""method"")] + names(add) <- c(""id"", ""variable"", ""measure"", ""age"", ""method"") + add <- add[!is.na(add$measure),] +} + +# add new variables to harmonised variables table +add16 <- add_new(sour, ""occup16"", ""occup"", 16, NA) +add17 <- add_new(sour, ""occup17"", ""occup"", 17, NA) +add18 <- add_new(sour, ""occup18"", ""occup"", 18, NA) +add19 <- add_new(sour, ""occup19"", ""occup"", 19, NA) +add20 <- add_new(sour, ""occup20"", ""occup"", 20, NA) +add21 <- add_new(sour, ""occup21"", ""occup"", 21, NA) +add22 <- add_new(sour, ""occup22"", ""occup"", 22, NA) +add23 <- add_new(sour, ""occup23"", ""occup"", 23, NA) +add24 <- add_new(sour, ""occup24"", ""occup"", 24, NA) +add25 <- add_new(sour, ""occup25"", ""occup"", 25, NA) +add26 <- add_new(sour, ""occup26"", ""occup"", 26, NA) +add27 <- add_new(sour, ""occup27"", ""occup"", 27, NA) +add28 <- add_new(sour, ""occup28"", ""occup"", 28, NA) +add29 <- add_new(sour, ""occup29"", ""occup"", 29, NA) +add30 <- add_new(sour, ""occup30"", ""occup"", 30, NA) +add31 <- add_new(sour, ""occup31"", ""occup"", ""age31"", NA) +add32 <- add_new(sour, ""occup32"", ""occup"", 32, NA) +add33 <- add_new(sour, ""occup33"", ""occup"", 33, NA) +add34 <- add_new(sour, ""occup34"", ""occup"", 34, NA) +add35 <- add_new(sour, ""occup35"", ""occup"", 35, NA) +add36 <- add_new(sour, ""occup36"", ""occup"", 36, NA) +add37 <- add_new(sour, ""occup37"", ""occup"", 37, NA) +add38 <- add_new(sour, ""occup38"", ""occup"", 38, NA) +add39 <- add_new(sour, ""occup39"", ""occup"", 39, NA) +add40 <- add_new(sour, ""occup40"", ""occup"", 40, NA) +add41 <- add_new(sour, ""occup41"", ""occup"", 41, NA) +add42 <- add_new(sour, ""occup42"", ""occup"", 42, NA) +add43 <- add_new(sour, ""occup43"", ""occup"", 43, NA) +add44 <- add_new(sour, ""occup44"", ""occup"", 44, NA) +add45 <- add_new(sour, ""occup45"", ""occup"", 45, NA) +add46 <- add_new(sour, ""occup46"", ""occup"", ""age46"", NA) + +harm <- rbind(harm, add16, add17, add18, add19, add20, + add21, add22, add23, add24, add25, add26, + add27, add28, add29, add30, add31, add32, + add33, add34, add35, add36, add37, add38, + add39, add40, add41, add42, add43, add44, + add45, add46)",,, +NFBC1966,wave_01,"ZP0401,C6646Q1_2,C6646Q1_2_4,C6646Q1_2_5,C6646Q1_2_4_1,C6646Q1_2_5_1",,,LongITools,wave_01,famsize_adult_own,complete,final,,"# number of adults in the household at 31yr + +sour[""famsize_adult_own31""] <- sour$ZP0401 + +# add new variable +add_new <- function(sour_data, sour_var, new_var, age, method) { + add <- sour_data[, c(""project_ID"", sour_var)] + add[""variable""] <- new_var + add[""measure""] <- add[,sour_var] + if(is.na(age)) { + add[""age""] <- NA + } else if(is.numeric(age)) { + add[""age""] <- age + } else { + add[""age""] <- sour_data[,age] + } + if(is.na(method)) { + add[""method""] <- NA + } else { + add[""method""] <- sour_data[,method] + } + add <- add[,c(""project_ID"", ""variable"", ""measure"", ""age"", ""method"")] + names(add) <- c(""id"", ""variable"", ""measure"", ""age"", ""method"") + add <- add[!is.na(add$measure),] +} + +add <- add_new(sour, ""famsize_adult_own31"", ""famsize_adult_own"", ""age31"", NA) +harm <- rbind(harm, add) + +# number of adults in the household at 46yr + +sour[""famsize_adult_own46""] <- sour$C6646Q1_2_5_1 +sour$famsize_adult_own46[is.na(sour$famsize_adult_own46)] <- 0 +sour$famsize_adult_own46 <- sour$famsize_adult_own46 + sour$C6646Q1_2_4_1 + 1 +sour$famsize_adult_own46[(sour$C6646Q1_2_4 == 1 & sour$C6646Q1_2_5 == 1) | sour$C6646Q1_2 == 1] <- 1 + +add <- add_new(sour, ""famsize_adult_own46"", ""famsize_adult_own"", ""age46"", NA) +harm <- rbind(harm, add)",,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM,OBSERVATION_PERIODS,op_start_date,complete,,"If INI_RECORD> DATA_NASCITA+60, INI_RECORD; +otherwise, DATA_NASCITA",,Children are normally registered during first pediatric visit,, diff --git a/data/_demodata/applications/datacatalogue/Mappings.csv b/data/_demodata/applications/datacatalogue/Mappings.csv deleted file mode 100644 index 676a10d70d..0000000000 --- a/data/_demodata/applications/datacatalogue/Mappings.csv +++ /dev/null @@ -1 +0,0 @@ -source,source version,target,target version,cdms other,mapping status,ETL frequency,ETL specification url,ETL specification document \ No newline at end of file diff --git a/data/_demodata/applications/datacatalogue/Models.csv b/data/_demodata/applications/datacatalogue/Models.csv deleted file mode 100644 index b73daa295d..0000000000 --- a/data/_demodata/applications/datacatalogue/Models.csv +++ /dev/null @@ -1,7 +0,0 @@ -id,pid,acronym,name,website,lead organisation,additional organisations,description,release frequency,logo,logo_filename,countries,publications,funding statement,acknowledgements -LongITools_CDM,,,LongITools common data model,,,,,,,,,,, -LifeCycle_CDM,,,LifeCycle common data model,,,,,,,,,,, -ATHLETE_CDM,,,ATHLETE common data model,,,,,,,,,,, -IPEC_CDM,,,IPEC common data model,,,,,,,,,,, -OOM_CDM,,OOM_CDM,OOM_CDM,,,,Common data model of OOM,,,,,,, -testNetwork1_CDM,,testNetwork1_CDM,testNetwork1_CDM,,,,Common data model for testNetwork1,,,,,,, diff --git a/data/_demodata/applications/datacatalogue/Network variables.csv b/data/_demodata/applications/datacatalogue/Network variables.csv deleted file mode 100644 index c38200577c..0000000000 --- a/data/_demodata/applications/datacatalogue/Network variables.csv +++ /dev/null @@ -1,1009 +0,0 @@ -network,variable.resource,variable.dataset,variable.name -LifeCycle,LifeCycle_CDM,core,na_pgn -LifeCycle,LifeCycle_CDM,outcome,adhdR_0 -LifeCycle,LifeCycle_CDM,outcome,adhdR_eval_0 -LifeCycle,LifeCycle_CDM,outcome,adipo_cord -LifeCycle,LifeCycle_CDM,core,SCL_dep_score_t1 -LifeCycle,LifeCycle_CDM,core,agebirth_m_d -LifeCycle,LifeCycle_CDM,core,agrgr_preg -LifeCycle,LifeCycle_CDM,core,art -LifeCycle,LifeCycle_CDM,core,agrgr_t1 -LifeCycle,LifeCycle_CDM,core,airpt_preg -LifeCycle,LifeCycle_CDM,core,airpt_t1 -LifeCycle,LifeCycle_CDM,outcome,all_0 -LifeCycle,LifeCycle_CDM,outcome,allergy_any_m -LifeCycle,LifeCycle_CDM,outcome,allergy_food_m -LifeCycle,LifeCycle_CDM,outcome,all_ever -LifeCycle,LifeCycle_CDM,outcome,anaphylaxis -LifeCycle,LifeCycle_CDM,outcome,asd_avg_0 -LifeCycle,LifeCycle_CDM,core,an_m_0 -LifeCycle,LifeCycle_CDM,core,areases_quint_0 -LifeCycle,LifeCycle_CDM,core,areases_quint_preg -LifeCycle,LifeCycle_CDM,core,areases_quint_t1 -LifeCycle,LifeCycle_CDM,core,areases_tert_0 -LifeCycle,LifeCycle_CDM,core,areases_tert_preg -LifeCycle,LifeCycle_CDM,core,areases_tert_t1 -LifeCycle,LifeCycle_CDM,outcome,asd_age_0 -LifeCycle,LifeCycle_CDM,outcome,asd_eval_0 -LifeCycle,LifeCycle_CDM,outcome,asd_instr_0 -LifeCycle,LifeCycle_CDM,outcome,asd_pc_0 -LifeCycle,LifeCycle_CDM,outcome,asd_pro_0 -LifeCycle,LifeCycle_CDM,outcome,asdR_0 -LifeCycle,LifeCycle_CDM,outcome,asdR_age_0 -LifeCycle,LifeCycle_CDM,outcome,asd_raw_0 -LifeCycle,LifeCycle_CDM,outcome,asdR_eval_0 -LifeCycle,LifeCycle_CDM,outcome,asthma_0 -LifeCycle,LifeCycle_CDM,outcome,Asthma_adult -LifeCycle,LifeCycle_CDM,core,asthma_adult -LifeCycle,LifeCycle_CDM,core,blue_dist_0 -LifeCycle,LifeCycle_CDM,core,asthma_bf -LifeCycle,LifeCycle_CDM,outcome,asthma_current_MeDALL_0 -LifeCycle,LifeCycle_CDM,outcome,asthma_current_ISAAC -LifeCycle,LifeCycle_CDM,outcome,asthma_ever_CHICOS -LifeCycle,LifeCycle_CDM,outcome,asthma_ever_MeDALL -LifeCycle,LifeCycle_CDM,core,asthma_m -LifeCycle,LifeCycle_CDM,outcome,asthma_med_0 -LifeCycle,LifeCycle_CDM,core,death_child_age -LifeCycle,LifeCycle_CDM,outcome,asthma_med_spec_0 -LifeCycle,LifeCycle_CDM,core,bdens100_0 -LifeCycle,LifeCycle_CDM,core,bdens100_preg -LifeCycle,LifeCycle_CDM,core,bdens100_t1 -LifeCycle,LifeCycle_CDM,core,bdens300_0 -LifeCycle,LifeCycle_CDM,core,bdens300_preg -LifeCycle,LifeCycle_CDM,core,bdens300_t1 -LifeCycle,LifeCycle_CDM,core,cats_quant_0 -LifeCycle,LifeCycle_CDM,outcome,BHR_0 -LifeCycle,LifeCycle_CDM,core,birth_head_circum -LifeCycle,LifeCycle_CDM,core,birth_month -LifeCycle,LifeCycle_CDM,core,birth_weight -LifeCycle,LifeCycle_CDM,core,birth_year -LifeCycle,LifeCycle_CDM,core,blue_dist_preg -LifeCycle,LifeCycle_CDM,core,blue_dist_t1 -LifeCycle,LifeCycle_CDM,core,blue_size_0 -LifeCycle,LifeCycle_CDM,core,mar -LifeCycle,LifeCycle_CDM,core,blue_size_preg -LifeCycle,LifeCycle_CDM,core,blue_size_t1 -LifeCycle,LifeCycle_CDM,core,blueyn300_0 -LifeCycle,LifeCycle_CDM,core,death_m -LifeCycle,LifeCycle_CDM,core,blueyn300_preg -LifeCycle,LifeCycle_CDM,core,blueyn300_t1 -LifeCycle,LifeCycle_CDM,core,bn_m_0 -LifeCycle,LifeCycle_CDM,core,breastfed_any -LifeCycle,LifeCycle_CDM,core,breastfed_excl -LifeCycle,LifeCycle_CDM,core,bus_lines_100_0 -LifeCycle,LifeCycle_CDM,core,bus_lines_100_preg -LifeCycle,LifeCycle_CDM,core,bus_lines_100_t1 -LifeCycle,LifeCycle_CDM,core,bus_lines_300_0 -LifeCycle,LifeCycle_CDM,core,bus_lines_300_preg -LifeCycle,LifeCycle_CDM,core,bus_lines_300_t1 -LifeCycle,LifeCycle_CDM,outcome,crp_cord -LifeCycle,LifeCycle_CDM,core,bus_lines_500_0 -LifeCycle,LifeCycle_CDM,core,bus_lines_500_preg -LifeCycle,LifeCycle_CDM,core,bus_lines_500_t1 -LifeCycle,LifeCycle_CDM,core,bus_stops_100_0 -LifeCycle,LifeCycle_CDM,core,bus_stops_100_preg -LifeCycle,LifeCycle_CDM,core,bus_stops_100_t1 -LifeCycle,LifeCycle_CDM,core,bus_stops_300_0 -LifeCycle,LifeCycle_CDM,core,bus_stops_300_preg -LifeCycle,LifeCycle_CDM,core,bus_stops_300_t1 -LifeCycle,LifeCycle_CDM,core,bus_stops_500_0 -LifeCycle,LifeCycle_CDM,core,bus_stops_500_preg -LifeCycle,LifeCycle_CDM,core,bus_stops_500_t1 -LifeCycle,LifeCycle_CDM,core,cats_0 -LifeCycle,LifeCycle_CDM,core,cats_quant_preg -LifeCycle,LifeCycle_CDM,core,cer_palsy -LifeCycle,LifeCycle_CDM,core,childcare_0 -LifeCycle,LifeCycle_CDM,core,childcarecentre_0 -LifeCycle,LifeCycle_CDM,core,childcare_intro -LifeCycle,LifeCycle_CDM,core,childcareprof_0 -LifeCycle,LifeCycle_CDM,core,childcarerel_0 -LifeCycle,LifeCycle_CDM,core,child_id -LifeCycle,LifeCycle_CDM,outcome,cbpage_0 -LifeCycle,LifeCycle_CDM,outcome,chol_cord -LifeCycle,LifeCycle_CDM,core,cob_p -LifeCycle,LifeCycle_CDM,core,cob_p_fath -LifeCycle,LifeCycle_CDM,core,cohab_0 -LifeCycle,LifeCycle_CDM,core,coh_country -LifeCycle,LifeCycle_CDM,core,cohort_id -LifeCycle,LifeCycle_CDM,core,con_anomalies -LifeCycle,LifeCycle_CDM,core,connind100_0 -LifeCycle,LifeCycle_CDM,core,connind100_t1 -LifeCycle,LifeCycle_CDM,core,connind300_0 -LifeCycle,LifeCycle_CDM,core,connind300_preg -LifeCycle,LifeCycle_CDM,core,connind300_t1 -LifeCycle,LifeCycle_CDM,outcome,COPD_adult_diagnosis -LifeCycle,LifeCycle_CDM,outcome,COPD_adult_GOLD -LifeCycle,LifeCycle_CDM,outcome,COPD_adult_LLN -LifeCycle,LifeCycle_CDM,core,dairy_pgn -LifeCycle,LifeCycle_CDM,core,dairy_psc -LifeCycle,LifeCycle_CDM,core,dairy_sch -LifeCycle,LifeCycle_CDM,core,dash_pgn -LifeCycle,LifeCycle_CDM,core,dash_sch -LifeCycle,LifeCycle_CDM,core,death_child -LifeCycle,LifeCycle_CDM,core,death_m_age -LifeCycle,LifeCycle_CDM,core,death_p -LifeCycle,LifeCycle_CDM,core,death_p_age -LifeCycle,LifeCycle_CDM,core,dia_bf -LifeCycle,LifeCycle_CDM,core,dietage_psc -LifeCycle,LifeCycle_CDM,core,dietage_sch -LifeCycle,LifeCycle_CDM,core,dietass_pgn -LifeCycle,LifeCycle_CDM,core,dietass_psc -LifeCycle,LifeCycle_CDM,core,dietass_sch -LifeCycle,LifeCycle_CDM,core,dietga_pgn -LifeCycle,LifeCycle_CDM,core,distinvnear1_0 -LifeCycle,LifeCycle_CDM,core,distinvnear1_preg -LifeCycle,LifeCycle_CDM,core,distinvnear1_t1 -LifeCycle,LifeCycle_CDM,core,dogs_0 -LifeCycle,LifeCycle_CDM,core,dogs_preg -LifeCycle,LifeCycle_CDM,core,dogs_quant_0 -LifeCycle,LifeCycle_CDM,core,dogs_quant_preg -LifeCycle,LifeCycle_CDM,outcome,eczema_0 -LifeCycle,LifeCycle_CDM,outcome,eczema_ever -LifeCycle,LifeCycle_CDM,outcome,eczema_m -LifeCycle,LifeCycle_CDM,core,famdinner_psc -LifeCycle,LifeCycle_CDM,core,cob_m -LifeCycle,LifeCycle_CDM,core,ed_m_0 -LifeCycle,LifeCycle_CDM,core,edu_f1_0 -LifeCycle,LifeCycle_CDM,core,edu_f1_fath0 -LifeCycle,LifeCycle_CDM,core,edu_f2_0 -LifeCycle,LifeCycle_CDM,core,edu_f2_fath0 -LifeCycle,LifeCycle_CDM,core,ethn_p_fath -LifeCycle,LifeCycle_CDM,outcome,subscapsfmes_0 -LifeCycle,LifeCycle_CDM,outcome,suprasf_0 -LifeCycle,LifeCycle_CDM,outcome,suprasfage_0 -LifeCycle,LifeCycle_CDM,core,edu_m_0 -LifeCycle,LifeCycle_CDM,core,egg_pgn -LifeCycle,LifeCycle_CDM,core,egg_psc -LifeCycle,LifeCycle_CDM,core,height_age0 -LifeCycle,LifeCycle_CDM,core,egg_sch -LifeCycle,LifeCycle_CDM,core,ethn1_m -LifeCycle,LifeCycle_CDM,core,ethn2_m -LifeCycle,LifeCycle_CDM,core,ethn2_p -LifeCycle,LifeCycle_CDM,outcome,gm_pc_0 -LifeCycle,LifeCycle_CDM,core,ethn3_p -LifeCycle,LifeCycle_CDM,core,eusilc_income -LifeCycle,LifeCycle_CDM,outcome,suprasfmes_0 -LifeCycle,LifeCycle_CDM,outcome,tricepsfage_0 -LifeCycle,LifeCycle_CDM,core,eusilc_income_quintiles -LifeCycle,LifeCycle_CDM,outcome,fm_pro_0 -LifeCycle,LifeCycle_CDM,outcome,ext_avg_0 -LifeCycle,LifeCycle_CDM,outcome,ext_eval_0 -LifeCycle,LifeCycle_CDM,outcome,ext_instr_0 -LifeCycle,LifeCycle_CDM,outcome,ext_pc_0 -LifeCycle,LifeCycle_CDM,outcome,ext_pro_0 -LifeCycle,LifeCycle_CDM,outcome,ext_raw_0 -LifeCycle,LifeCycle_CDM,core,famdinner_sch -LifeCycle,LifeCycle_CDM,core,famsize_adult0 -LifeCycle,LifeCycle_CDM,core,famsize_child0 -LifeCycle,LifeCycle_CDM,core,fam_splitup0 -LifeCycle,LifeCycle_CDM,core,fastfood_psc -LifeCycle,LifeCycle_CDM,core,height_mes_f1 -LifeCycle,LifeCycle_CDM,core,fastfood_sch -LifeCycle,LifeCycle_CDM,core,fdensity300_0 -LifeCycle,LifeCycle_CDM,core,fdensity300_preg -LifeCycle,LifeCycle_CDM,outcome,FEF25_abs_0 -LifeCycle,LifeCycle_CDM,core,fish_sch -LifeCycle,LifeCycle_CDM,core,grain_sch -LifeCycle,LifeCycle_CDM,outcome,FEF50_abs_0 -LifeCycle,LifeCycle_CDM,outcome,FEF75_abs_0 -LifeCycle,LifeCycle_CDM,outcome,FEF75_z_0 -LifeCycle,LifeCycle_CDM,outcome,FEV1_abs_0 -LifeCycle,LifeCycle_CDM,outcome,FEV1FVC_z_0 -LifeCycle,LifeCycle_CDM,outcome,FEV1_z_0 -LifeCycle,LifeCycle_CDM,core,ffish_pgn -LifeCycle,LifeCycle_CDM,core,ffish_psc -LifeCycle,LifeCycle_CDM,core,ffish_sch -LifeCycle,LifeCycle_CDM,outcome,fm_avg_0 -LifeCycle,LifeCycle_CDM,outcome,fm_eval_0 -LifeCycle,LifeCycle_CDM,outcome,fm_instr_0 -LifeCycle,LifeCycle_CDM,outcome,fm_pc_0 -LifeCycle,LifeCycle_CDM,outcome,fm_raw_0 -LifeCycle,LifeCycle_CDM,core,folic_preg12 -LifeCycle,LifeCycle_CDM,outcome,food_all_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_ever -LifeCycle,LifeCycle_CDM,core,food_all_sens_IgE_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_COWMILK_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_EGG_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_FISH_cod_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_FISH_mix_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_FRUIT_kiw_0 -LifeCycle,LifeCycle_CDM,core,agebirth_m_y -LifeCycle,LifeCycle_CDM,core,agebirth_p_d -LifeCycle,LifeCycle_CDM,core,agebirth_p_fath -LifeCycle,LifeCycle_CDM,outcome,nvi_age_0 -LifeCycle,LifeCycle_CDM,core,green_size_t1 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_FRUIT_pea_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_NUT_cas_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_NUT_haz_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_NUT_mix_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_NUT_wal_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_PNT_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_SES_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_SHELL_mix_0 -LifeCycle,LifeCycle_CDM,outcome,food_all_sens_SPT_WHEAT_0 -LifeCycle,LifeCycle_CDM,core,foodenvdens300_0 -LifeCycle,LifeCycle_CDM,core,foodenvdens300_preg -LifeCycle,LifeCycle_CDM,core,grain_pgn -LifeCycle,LifeCycle_CDM,core,foodenvdensosm300_0 -LifeCycle,LifeCycle_CDM,core,green_dist_0 -LifeCycle,LifeCycle_CDM,core,foodenvdensosm300_preg -LifeCycle,LifeCycle_CDM,core,foodenvdensosm300_t1 -LifeCycle,LifeCycle_CDM,core,frichness300_0 -LifeCycle,LifeCycle_CDM,core,frichness300_preg -LifeCycle,LifeCycle_CDM,core,frichness300_t1 -LifeCycle,LifeCycle_CDM,core,fruit_pgn -LifeCycle,LifeCycle_CDM,core,fruit_psc -LifeCycle,LifeCycle_CDM,core,fruit_sch -LifeCycle,LifeCycle_CDM,core,preg_alc -LifeCycle,LifeCycle_CDM,outcome,FVC_z_0 -LifeCycle,LifeCycle_CDM,core,ga_bj -LifeCycle,LifeCycle_CDM,core,ga_lmp -LifeCycle,LifeCycle_CDM,core,ga_mr -LifeCycle,LifeCycle_CDM,outcome,gm_std_0 -LifeCycle,LifeCycle_CDM,outcome,glucose_cord -LifeCycle,LifeCycle_CDM,core,grain_psc -LifeCycle,LifeCycle_CDM,core,green_dist_preg -LifeCycle,LifeCycle_CDM,core,green_dist_t1 -LifeCycle,LifeCycle_CDM,core,green_size_0 -LifeCycle,LifeCycle_CDM,core,green_size_preg -LifeCycle,LifeCycle_CDM,core,lfdairy_pgn -LifeCycle,LifeCycle_CDM,outcome,gm_age_0 -LifeCycle,LifeCycle_CDM,core,greenyn300_0 -LifeCycle,LifeCycle_CDM,outcome,gm_avg_0 -LifeCycle,LifeCycle_CDM,core,greenyn300_preg -LifeCycle,LifeCycle_CDM,core,hmin_preg -LifeCycle,LifeCycle_CDM,core,greenyn300_t1 -LifeCycle,LifeCycle_CDM,outcome,gm_eval_0 -LifeCycle,LifeCycle_CDM,outcome,gm_instr_0 -LifeCycle,LifeCycle_CDM,outcome,hba1c_cord -LifeCycle,LifeCycle_CDM,core,hdres_t1 -LifeCycle,LifeCycle_CDM,outcome,hdlc_cord -LifeCycle,LifeCycle_CDM,core,height_0 -LifeCycle,LifeCycle_CDM,core,hdres_0 -LifeCycle,LifeCycle_CDM,core,hmin_1 -LifeCycle,LifeCycle_CDM,outcome,insulin_cord -LifeCycle,LifeCycle_CDM,core,hmin_t1 -LifeCycle,LifeCycle_CDM,outcome,int_age_0 -LifeCycle,LifeCycle_CDM,core,hum_1 -LifeCycle,LifeCycle_CDM,outcome,int_avg_0 -LifeCycle,LifeCycle_CDM,core,hum_preg -LifeCycle,LifeCycle_CDM,core,height_f1 -LifeCycle,LifeCycle_CDM,core,hum_t1 -LifeCycle,LifeCycle_CDM,core,height_f1_fath -LifeCycle,LifeCycle_CDM,outcome,int_eval_0 -LifeCycle,LifeCycle_CDM,core,height_m -LifeCycle,LifeCycle_CDM,outcome,int_pc_0 -LifeCycle,LifeCycle_CDM,core,agebirth_p_y -LifeCycle,LifeCycle_CDM,core,agrgr_0 -LifeCycle,LifeCycle_CDM,core,landuseshan300_0 -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_SPT_DOG_0 -LifeCycle,LifeCycle_CDM,outcome,lan_std_0 -LifeCycle,LifeCycle_CDM,outcome,lan_instr_0 -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_SPT_GRASS_mix_0 -LifeCycle,LifeCycle_CDM,core,latepreg_weight -LifeCycle,LifeCycle_CDM,core,ndvi500_preg -LifeCycle,LifeCycle_CDM,core,landuseshan300_preg -LifeCycle,LifeCycle_CDM,core,hmax_t1 -LifeCycle,LifeCycle_CDM,core,major_con_anomalies -LifeCycle,LifeCycle_CDM,core,latepreg_weight_ga -LifeCycle,LifeCycle_CDM,core,lfdairy_psc -LifeCycle,LifeCycle_CDM,core,landuseshan300_t1 -LifeCycle,LifeCycle_CDM,core,lden_c_preg -LifeCycle,LifeCycle_CDM,core,latepreg_weight_mes -LifeCycle,LifeCycle_CDM,outcome,lan_eval_0 -LifeCycle,LifeCycle_CDM,core,lst_t1 -LifeCycle,LifeCycle_CDM,core,lden_c_t1 -LifeCycle,LifeCycle_CDM,core,lfdairy_sch -LifeCycle,LifeCycle_CDM,core,ndvi100_preg -LifeCycle,LifeCycle_CDM,core,ln_c_preg -LifeCycle,LifeCycle_CDM,core,natgr_t1 -LifeCycle,LifeCycle_CDM,core,perccarb_psc -LifeCycle,LifeCycle_CDM,core,height_mes_m -LifeCycle,LifeCycle_CDM,outcome,il6_cord -LifeCycle,LifeCycle_CDM,outcome,int_pro_0 -LifeCycle,LifeCycle_CDM,core,hhincome_0 -LifeCycle,LifeCycle_CDM,core,indtr_0 -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_SPT_GRASS_tim_0 -LifeCycle,LifeCycle_CDM,outcome,int_raw_0 -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_SPT_HDM_derf_0 -LifeCycle,LifeCycle_CDM,core,indtr_preg -LifeCycle,LifeCycle_CDM,core,ivf -LifeCycle,LifeCycle_CDM,core,indtr_t1 -LifeCycle,LifeCycle_CDM,core,inhalant_all_sens_SPT_0 -LifeCycle,LifeCycle_CDM,core,occup_f1_fath0 -LifeCycle,LifeCycle_CDM,core,kcal_pgn -LifeCycle,LifeCycle_CDM,outcome,inh_all_0 -LifeCycle,LifeCycle_CDM,outcome,inh_all_ever -LifeCycle,LifeCycle_CDM,core,kcal_sch -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_SPT_HDM_derp_0 -LifeCycle,LifeCycle_CDM,core,inh_all_sens_IgE_0 -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_SPT_HDM_mix_0 -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_IgE_CAT_0 -LifeCycle,LifeCycle_CDM,outcome,lan_age_0 -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_IgE_HDM_0 -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_SPT_TREE_birch_0 -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_IgE_MOULD_0 -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_SPT_TREE_mix_0 -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_IgE_RYE_0 -LifeCycle,LifeCycle_CDM,core,hmax_1 -LifeCycle,LifeCycle_CDM,outcome,lan_raw_0 -LifeCycle,LifeCycle_CDM,core,hmax_preg -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_SPT_CAT_0 -LifeCycle,LifeCycle_CDM,core,lden_c_0 -LifeCycle,LifeCycle_CDM,outcome,lan_pc_0 -LifeCycle,LifeCycle_CDM,core,meat_pgn -LifeCycle,LifeCycle_CDM,core,ldres_t1 -LifeCycle,LifeCycle_CDM,core,meat_psc -LifeCycle,LifeCycle_CDM,core,na_psc -LifeCycle,LifeCycle_CDM,core,mainmeal_psc -LifeCycle,LifeCycle_CDM,core,ln_preg -LifeCycle,LifeCycle_CDM,core,meat_sch -LifeCycle,LifeCycle_CDM,core,ln_1 -LifeCycle,LifeCycle_CDM,core,lden_preg -LifeCycle,LifeCycle_CDM,core,lden_t1 -LifeCycle,LifeCycle_CDM,core,mainmeal_sch -LifeCycle,LifeCycle_CDM,core,mental_exp0 -LifeCycle,LifeCycle_CDM,outcome,leptin_cord -LifeCycle,LifeCycle_CDM,core,ln_c_1 -LifeCycle,LifeCycle_CDM,core,natgr_0 -LifeCycle,LifeCycle_CDM,core,natgr_preg -LifeCycle,LifeCycle_CDM,core,ln_t1 -LifeCycle,LifeCycle_CDM,core,mdist_1 -LifeCycle,LifeCycle_CDM,core,recruit_age -LifeCycle,LifeCycle_CDM,core,nox_preg -LifeCycle,LifeCycle_CDM,core,ndvi100_t1 -LifeCycle,LifeCycle_CDM,core,ndvi300_0 -LifeCycle,LifeCycle_CDM,core,ndvi100_0 -LifeCycle,LifeCycle_CDM,core,ndvi300_preg -LifeCycle,LifeCycle_CDM,core,noise_dist_t1 -LifeCycle,LifeCycle_CDM,core,ndvi300_t1 -LifeCycle,LifeCycle_CDM,outcome,LRTI_0 -LifeCycle,LifeCycle_CDM,outcome,ldlc_cord -LifeCycle,LifeCycle_CDM,core,ldres_0 -LifeCycle,LifeCycle_CDM,outcome,nvi_raw_0 -LifeCycle,LifeCycle_CDM,core,mdist_preg -LifeCycle,LifeCycle_CDM,core,ndvi500_0 -LifeCycle,LifeCycle_CDM,core,lst_1 -LifeCycle,LifeCycle_CDM,core,nox_1 -LifeCycle,LifeCycle_CDM,core,ln_c_t1 -LifeCycle,LifeCycle_CDM,core,mode_delivery -LifeCycle,LifeCycle_CDM,core,mdist_t1 -LongITools,LifeCycle_CDM,core,agebirth_m_y -LongITools,LifeCycle_CDM,core,agebirth_p_fath -LongITools,LifeCycle_CDM,core,agebirth_p_y -LongITools,LongITools_CDM,wave_01,alc -LongITools,LifeCycle_CDM,core,alc_t1 -LongITools,LongITools_CDM,wave_01,alc_unit -LongITools,LongITools_CDM,wave_01,ap_age -LongITools,LongITools_CDM,wave_01,ap_bmi -LongITools,LongITools_CDM,wave_01,ar_age -LongITools,LongITools_CDM,wave_01,ar_bmi -LongITools,LifeCycle_CDM,core,birth_length -LongITools,LifeCycle_CDM,core,birth_month -LongITools,LifeCycle_CDM,core,birth_weight -LongITools,LifeCycle_CDM,core,birth_year -LongITools,LifeCycle_CDM,core,breastfed_any -LongITools,LifeCycle_CDM,core,breastfed_ever -LongITools,LifeCycle_CDM,core,breastfed_excl -LongITools,LongITools_CDM,wave_01,car_plaques -LifeCycle,LifeCycle_CDM,core,ndvi500_t1 -LongITools,LifeCycle_CDM,outcome,cfpwv_0 -LongITools,LongITools_CDM,wave_01,chd_acs -LongITools,LongITools_CDM,wave_01,chd_ap -LongITools,LongITools_CDM,wave_01,chd_broad -LongITools,LongITools_CDM,wave_01,chd_cabg -LongITools,LongITools_CDM,wave_01,chd_hard -LongITools,LongITools_CDM,wave_01,chd_mi -LongITools,LongITools_CDM,wave_01,chd_revasc -LongITools,LongITools_CDM,wave_01,chd_si -LongITools,LifeCycle_CDM,core,child_no -LongITools,LifeCycle_CDM,core,childcare_0 -LongITools,LifeCycle_CDM,core,childcare_intro -LongITools,LifeCycle_CDM,core,childcarecentre_0 -LongITools,LifeCycle_CDM,core,childcareprof_0 -LongITools,LifeCycle_CDM,core,childcarerel_0 -LongITools,LifeCycle_CDM,outcome,chol_0 -LongITools,LifeCycle_CDM,outcome,chol_cord -LongITools,LifeCycle_CDM,outcome,cimt_0 -LongITools,LongITools_CDM,wave_01,cimtmeanmax -LongITools,LongITools_CDM,wave_01,cob -LongITools,LifeCycle_CDM,core,cob_m -LongITools,LifeCycle_CDM,core,cob_p -LongITools,LifeCycle_CDM,core,cob_p_fath -LongITools,LifeCycle_CDM,core,cohab_0 -LongITools,LifeCycle_CDM,outcome,crp_0 -LongITools,LifeCycle_CDM,outcome,crp_cord -LongITools,LifeCycle_CDM,outcome,crpwv_0 -LongITools,LifeCycle_CDM,outcome,dbp_0 -LongITools,LifeCycle_CDM,outcome,dbpav_0 -LongITools,LongITools_CDM,wave_01,death -LongITools,LongITools_CDM,wave_01,death_cause -LongITools,LongITools_CDM,wave_01,diab_t2_icd -LongITools,LongITools_CDM,wave_01,diab_t2_sr -LongITools,LongITools_CDM,wave_01,diet_fish -LongITools,LongITools_CDM,wave_01,diet_fruit -LongITools,LongITools_CDM,wave_01,diet_kcal -LongITools,LongITools_CDM,wave_01,diet_na -LongITools,LongITools_CDM,wave_01,diet_swebev -LongITools,LongITools_CDM,wave_01,diet_veg -LongITools,LongITools_CDM,wave_01,drugs_a -LongITools,LongITools_CDM,wave_01,drugs_b -LongITools,LongITools_CDM,wave_01,drugs_c -LongITools,LongITools_CDM,wave_01,drugs_d -LongITools,LongITools_CDM,wave_01,drugs_g -LongITools,LongITools_CDM,wave_01,drugs_h -LongITools,LongITools_CDM,wave_01,drugs_j -LongITools,LongITools_CDM,wave_01,drugs_l -LongITools,LongITools_CDM,wave_01,drugs_m -LongITools,LongITools_CDM,wave_01,drugs_n -LongITools,LongITools_CDM,wave_01,drugs_p -LongITools,LongITools_CDM,wave_01,drugs_r -LongITools,LongITools_CDM,wave_01,drugs_range -LongITools,LongITools_CDM,wave_01,drugs_s -LongITools,LongITools_CDM,wave_01,drugs_v -LongITools,LongITools_CDM,wave_01,edu -LongITools,LifeCycle_CDM,core,edu_f1_0 -LongITools,LifeCycle_CDM,core,edu_f1_fath0 -LongITools,LifeCycle_CDM,core,edu_m_0 -LongITools,LifeCycle_CDM,core,ethn_p_fath -LongITools,LongITools_CDM,wave_01,ethn1 -LongITools,LifeCycle_CDM,core,ethn1_m -LongITools,LifeCycle_CDM,core,ethn1_p -LongITools,LongITools_CDM,wave_01,ethn2 -LongITools,LifeCycle_CDM,core,ethn2_m -LongITools,LifeCycle_CDM,core,ethn2_p -LongITools,LongITools_CDM,wave_01,ethn3 -LongITools,LifeCycle_CDM,core,ethn3_m -LongITools,LifeCycle_CDM,core,ethn3_p -LongITools,LongITools_CDM,wave_01,famsize_adult_own -LongITools,LongITools_CDM,wave_01,famsize_child_own -LongITools,LifeCycle_CDM,core,ga_bj -LongITools,LifeCycle_CDM,core,ga_lmp -LongITools,LifeCycle_CDM,core,ga_mr -LongITools,LifeCycle_CDM,core,ga_us -LongITools,LifeCycle_CDM,outcome,glucose_0 -LongITools,LifeCycle_CDM,outcome,glucose_cord -LongITools,LifeCycle_CDM,outcome,hba1c_0 -LongITools,LifeCycle_CDM,outcome,hba1c_cord -LongITools,LifeCycle_CDM,outcome,hdlc_0 -LongITools,LifeCycle_CDM,outcome,hdlc_cord -LongITools,LifeCycle_CDM,core,height_0 -LongITools,LifeCycle_CDM,core,height_f1 -LongITools,LifeCycle_CDM,core,height_f1_fath -LongITools,LifeCycle_CDM,core,height_m -LongITools,LifeCycle_CDM,core,hhincome_0 -LongITools,LongITools_CDM,wave_01,hhincome_own -LongITools,LifeCycle_CDM,outcome,hipcirc_0 -LongITools,LongITools_CDM,wave_01,hosp -LongITools,LongITools_CDM,wave_01,hosp_n -LongITools,LongITools_CDM,wave_01,hosp_n_range -LongITools,LongITools_CDM,wave_01,hosp_nights -LongITools,LongITools_CDM,wave_01,hosp_range -LongITools,LongITools_CDM,wave_01,hypertension -LongITools,LongITools_CDM,wave_01,hypertension_med -LongITools,LifeCycle_CDM,core,child_id -LongITools,LifeCycle_CDM,outcome,il6_0 -LongITools,LifeCycle_CDM,outcome,il6_cord -LongITools,LifeCycle_CDM,outcome,insulin_0 -LongITools,LifeCycle_CDM,outcome,insulin_cord -LongITools,LifeCycle_CDM,core,latepreg_weight -LongITools,LifeCycle_CDM,core,latepreg_weight_ga -LongITools,LifeCycle_CDM,outcome,ldlc_0 -LongITools,LifeCycle_CDM,outcome,ldlc_cord -LongITools,LongITools_CDM,wave_01,menarche_age -LongITools,LongITools_CDM,wave_01,menopause_age -LongITools,LifeCycle_CDM,core,mode_delivery -LongITools,LifeCycle_CDM,core,mother_id -LongITools,LongITools_CDM,wave_01,occup -LongITools,LifeCycle_CDM,core,occup_f1_0 -LongITools,LifeCycle_CDM,core,occup_f1_fath0 -LongITools,LifeCycle_CDM,core,occup_m_0 -LongITools,LongITools_CDM,wave_01,outdoor -LongITools,LongITools_CDM,wave_01,outdoor_season -LongITools,LongITools_CDM,wave_01,pa_mod -LongITools,LongITools_CDM,wave_01,pa_mod_vig -LongITools,LongITools_CDM,wave_01,pa_vig -LongITools,LifeCycle_CDM,core,parity_m -LongITools,LongITools_CDM,wave_01,phv_age -LongITools,LifeCycle_CDM,core,ppd -LongITools,LifeCycle_CDM,core,preeclam -LongITools,LifeCycle_CDM,core,preg_alc -LongITools,LifeCycle_CDM,core,preg_alc_unit -LongITools,LifeCycle_CDM,core,preg_cig -LongITools,LifeCycle_CDM,core,preg_dia -LongITools,LifeCycle_CDM,core,preg_ht -LongITools,LifeCycle_CDM,core,preg_no -LongITools,LifeCycle_CDM,core,preg_smk -LongITools,LifeCycle_CDM,core,prepreg_alc -LongITools,LifeCycle_CDM,core,prepreg_alc_unit -LongITools,LifeCycle_CDM,core,prepreg_cig -LongITools,LifeCycle_CDM,core,prepreg_smk -LongITools,LifeCycle_CDM,core,prepreg_weight -LongITools,LifeCycle_CDM,core,prepreg_weight_ga -LongITools,LifeCycle_CDM,outcome,pulse_0 -LongITools,LongITools_CDM,wave_01,region_birth -LongITools,LifeCycle_CDM,core,region_fa -LongITools,LifeCycle_CDM,core,region_mo -LongITools,LifeCycle_CDM,outcome,sbp_0 -LongITools,LifeCycle_CDM,outcome,sbpav_0 -LongITools,LongITools_CDM,wave_01,sedentary_time -LongITools,LifeCycle_CDM,core,sex -LongITools,LongITools_CDM,wave_01,sleep_duration -LongITools,LongITools_CDM,wave_01,smk_cess -LongITools,LongITools_CDM,wave_01,smk_cig -LongITools,LongITools_CDM,wave_01,smk_curr -LongITools,LongITools_CDM,wave_01,smk_ever -LongITools,LifeCycle_CDM,core,smk_t1 -LongITools,LifeCycle_CDM,core,solid_food -LongITools,LongITools_CDM,wave_01,study_country -LongITools,LongITools_CDM,wave_01,study_id -LongITools,LongITools_CDM,wave_01,tanner_breast -LongITools,LongITools_CDM,wave_01,tanner_genit -LongITools,LongITools_CDM,wave_01,tanner_pubhair -LongITools,LifeCycle_CDM,outcome,triglycerides_0 -LongITools,LifeCycle_CDM,outcome,triglycerides_cord -LongITools,LongITools_CDM,wave_01,visits_dentist -LongITools,LongITools_CDM,wave_01,visits_gp -LongITools,LongITools_CDM,wave_01,visits_nurse -LongITools,LongITools_CDM,wave_01,visits_orthodontist -LongITools,LongITools_CDM,wave_01,visits_range -LongITools,LongITools_CDM,wave_01,visits_specialist -LongITools,LifeCycle_CDM,outcome,vldlc_0 -LongITools,LifeCycle_CDM,outcome,vldlc_cord -LongITools,LongITools_CDM,wave_01,voice_break_age -LongITools,LifeCycle_CDM,outcome,waistcirc_0 -LongITools,LifeCycle_CDM,core,weight_0 -LongITools,LifeCycle_CDM,core,weight_f1 -LongITools,LifeCycle_CDM,core,weight_f1_fath -LifeCycle,LifeCycle_CDM,core,nox_t1 -LifeCycle,LifeCycle_CDM,core,occupcode_f1_fath0 -LifeCycle,LifeCycle_CDM,core,mother_id -LifeCycle,LifeCycle_CDM,core,nffish_psc -LifeCycle,LifeCycle_CDM,core,occupcode_f1_0 -LifeCycle,LifeCycle_CDM,core,lst_preg -LifeCycle,LifeCycle_CDM,core,neo_unit -LifeCycle,LifeCycle_CDM,core,nffish_pgn -LifeCycle,LifeCycle_CDM,core,percfat_psc -LifeCycle,LifeCycle_CDM,core,ldres_preg -LifeCycle,LifeCycle_CDM,outcome,nvi_avg_0 -LifeCycle,LifeCycle_CDM,outcome,nvi_pro_0 -LifeCycle,LifeCycle_CDM,core,percprot_pgn -LifeCycle,LifeCycle_CDM,core,percprot_sch -LifeCycle,LifeCycle_CDM,core,occupcode_f2_0 -LifeCycle,LifeCycle_CDM,core,pm25_t1 -LifeCycle,LifeCycle_CDM,core,no2_1 -LifeCycle,LifeCycle_CDM,core,no2_t1 -LifeCycle,LifeCycle_CDM,core,noise_dist_preg -LifeCycle,LifeCycle_CDM,outcome,nvi_eval_0 -LifeCycle,LifeCycle_CDM,core,pm10ni_0 -LifeCycle,LifeCycle_CDM,core,occupcode_m_0 -LifeCycle,LifeCycle_CDM,core,percfat_sch -LifeCycle,LifeCycle_CDM,outcome,nvi_pc_0 -LifeCycle,LifeCycle_CDM,core,occup_f1_0 -LifeCycle,LifeCycle_CDM,core,no2_preg -LifeCycle,LifeCycle_CDM,core,percprot_psc -LifeCycle,LifeCycle_CDM,core,patternA_snackscreen_psc -LifeCycle,LifeCycle_CDM,core,occupcode_f2_fath0 -LifeCycle,LifeCycle_CDM,core,popdens_preg -LifeCycle,LifeCycle_CDM,core,pm10_t1 -LifeCycle,LifeCycle_CDM,core,pm10k_preg -LifeCycle,LifeCycle_CDM,core,pm10_1 -LifeCycle,LifeCycle_CDM,core,pm10cu_preg -LifeCycle,LifeCycle_CDM,core,pm10ni_preg -LifeCycle,LifeCycle_CDM,core,patternB_psc -LifeCycle,LifeCycle_CDM,core,pm10k_t1 -LifeCycle,LifeCycle_CDM,core,pm10cu_0 -LifeCycle,LifeCycle_CDM,core,other_0 -LifeCycle,LifeCycle_CDM,core,pm25v_0 -LifeCycle,LifeCycle_CDM,core,noise_dist_0 -LifeCycle,LifeCycle_CDM,core,other_preg -LifeCycle,LifeCycle_CDM,core,parity_m -LifeCycle,LifeCycle_CDM,core,occup_f2_0 -LifeCycle,LifeCycle_CDM,core,pm10ni_t1 -LifeCycle,LifeCycle_CDM,core,pm25v_t1 -LifeCycle,LifeCycle_CDM,core,pm10fe_0 -LifeCycle,LifeCycle_CDM,core,pm10_preg -LifeCycle,LifeCycle_CDM,core,perccarb_sch -LifeCycle,LifeCycle_CDM,core,pm10v_0 -LifeCycle,LifeCycle_CDM,core,pm10zn_0 -LifeCycle,LifeCycle_CDM,core,perccarb_pgn -LifeCycle,LifeCycle_CDM,core,other_t1 -LifeCycle,LifeCycle_CDM,core,pm10si_t1 -LifeCycle,LifeCycle_CDM,core,pm10s_0 -LifeCycle,LifeCycle_CDM,core,plac_abrup -LifeCycle,LifeCycle_CDM,core,pm25v_preg -LifeCycle,LifeCycle_CDM,core,pm25zn_0 -LifeCycle,LifeCycle_CDM,core,pm10si_0 -LifeCycle,LifeCycle_CDM,core,pm10fe_preg -LifeCycle,LifeCycle_CDM,core,pm10v_preg -LifeCycle,LifeCycle_CDM,core,percfat_pgn -LifeCycle,LifeCycle_CDM,core,plac_weight -LifeCycle,LifeCycle_CDM,outcome,pets_preg -LifeCycle,LifeCycle_CDM,core,pm10s_preg -LifeCycle,LifeCycle_CDM,core,outcome -LifeCycle,LifeCycle_CDM,core,pm10v_t1 -LifeCycle,LifeCycle_CDM,core,pm10zn_preg -LifeCycle,LifeCycle_CDM,core,pm10s_t1 -LifeCycle,LifeCycle_CDM,core,pm25zn_preg -LifeCycle,LifeCycle_CDM,core,pm10cu_t1 -LifeCycle,LifeCycle_CDM,core,pm10zn_t1 -LifeCycle,LifeCycle_CDM,core,pm10si_preg -LifeCycle,LifeCycle_CDM,core,port_0 -LifeCycle,LifeCycle_CDM,core,pm25zn_t1 -LifeCycle,LifeCycle_CDM,core,port_t1 -LifeCycle,LifeCycle_CDM,core,pm25k_0 -LifeCycle,LifeCycle_CDM,core,pm25_1 -LifeCycle,LifeCycle_CDM,core,outdoorpage_psc -LifeCycle,LifeCycle_CDM,core,pm25k_preg -LifeCycle,LifeCycle_CDM,core,potat_pgn -LifeCycle,LifeCycle_CDM,core,region_mo -LifeCycle,LifeCycle_CDM,core,pm25ni_preg -LifeCycle,LifeCycle_CDM,core,procmeat_psc -LifeCycle,LifeCycle_CDM,core,pm25abs_t1 -LifeCycle,LifeCycle_CDM,core,prepreg_alc_unit -LifeCycle,LifeCycle_CDM,core,potat_psc -LifeCycle,LifeCycle_CDM,core,pm25abs_1 -LifeCycle,LifeCycle_CDM,core,occup_f2_fath0 -LifeCycle,LifeCycle_CDM,core,occup_m_0 -LifeCycle,LifeCycle_CDM,core,port_preg -LifeCycle,LifeCycle_CDM,core,pm25ni_0 -LifeCycle,LifeCycle_CDM,core,pmcoarse_1 -LifeCycle,LifeCycle_CDM,core,pmcoarse_preg -LifeCycle,LifeCycle_CDM,core,pm10fe_t1 -LifeCycle,LifeCycle_CDM,core,pm25k_t1 -LifeCycle,LifeCycle_CDM,core,pm10k_0 -LifeCycle,LifeCycle_CDM,core,prepreg_alc -LifeCycle,LifeCycle_CDM,core,ppd -LifeCycle,LifeCycle_CDM,core,pm25cu_t1 -LifeCycle,LifeCycle_CDM,core,pm25ni_t1 -LifeCycle,LifeCycle_CDM,core,pm25si_preg -LifeCycle,LifeCycle_CDM,core,pm25cu_0 -LifeCycle,LifeCycle_CDM,core,pm25si_t1 -LifeCycle,LifeCycle_CDM,core,potat_sch -LifeCycle,LifeCycle_CDM,core,prepreg_an -LifeCycle,LifeCycle_CDM,core,pmcoarse_t1 -LifeCycle,LifeCycle_CDM,core,procmeat_sch -LifeCycle,LifeCycle_CDM,core,pm25_preg -LifeCycle,LifeCycle_CDM,core,pufas_psc -LifeCycle,LifeCycle_CDM,core,popdens_0 -LifeCycle,LifeCycle_CDM,core,pulses_sch -LifeCycle,LifeCycle_CDM,core,region_fa -LifeCycle,LifeCycle_CDM,core,preg_plan -LifeCycle,LifeCycle_CDM,core,pm25fe_preg -LifeCycle,LifeCycle_CDM,outcome,il6_0 -LifeCycle,LifeCycle_CDM,core,smk_fath -LifeCycle,LifeCycle_CDM,core,redmeat_sch -LifeCycle,LifeCycle_CDM,core,pm25abs_preg -LifeCycle,LifeCycle_CDM,core,pulses_pgn -LifeCycle,LifeCycle_CDM,core,pm25cu_preg -LifeCycle,LifeCycle_CDM,core,psych_bf -LifeCycle,LifeCycle_CDM,core,pufas_pgn -LifeCycle,LifeCycle_CDM,core,preg_thyroid -LifeCycle,LifeCycle_CDM,core,pulses_psc -LifeCycle,LifeCycle_CDM,outcome,repro_0 -LifeCycle,LifeCycle_CDM,core,pm25s_0 -LifeCycle,LifeCycle_CDM,core,pm25fe_0 -LifeCycle,LifeCycle_CDM,core,prepreg_weight_mes -LifeCycle,LifeCycle_CDM,core,prepreg_bn -LifeCycle,LifeCycle_CDM,core,preg_gain -LifeCycle,LifeCycle_CDM,core,satfat_pgn -LifeCycle,LifeCycle_CDM,core,pm25si_0 -LifeCycle,LifeCycle_CDM,core,pm25s_preg -LifeCycle,LifeCycle_CDM,core,redmeat_pgn -LifeCycle,LifeCycle_CDM,core,pufas_sch -LifeCycle,LifeCycle_CDM,core,satfat_psc -LifeCycle,LifeCycle_CDM,core,smk_cig_p -LifeCycle,LifeCycle_CDM,core,sav_psc -LifeCycle,LifeCycle_CDM,core,preg_alc_unit -LifeCycle,LifeCycle_CDM,core,prepreg_cig -LifeCycle,LifeCycle_CDM,core,prepreg_smk -LifeCycle,LifeCycle_CDM,core,popdens_t1 -LifeCycle,LifeCycle_CDM,outcome,rash_0 -LifeCycle,LifeCycle_CDM,core,smk_exp0 -LifeCycle,LifeCycle_CDM,core,prepreg_dep -LifeCycle,LifeCycle_CDM,core,preg_gain_mes -LifeCycle,LifeCycle_CDM,core,totcarb_sch -LifeCycle,LifeCycle_CDM,core,prepreg_weight -LifeCycle,LifeCycle_CDM,core,satfat_sch -LifeCycle,LifeCycle_CDM,outcome,rash_loc_0 -LifeCycle,LifeCycle_CDM,core,sav_pgn -LifeCycle,LifeCycle_CDM,core,preg_ed -LifeCycle,LifeCycle_CDM,core,preg_bn -LifeCycle,LifeCycle_CDM,core,sav_sch -LifeCycle,LifeCycle_CDM,core,preg_ht -LifeCycle,LifeCycle_CDM,core,preg_no -LifeCycle,LifeCycle_CDM,core,swebev_sch -LifeCycle,LifeCycle_CDM,core,tm_t1 -LifeCycle,LifeCycle_CDM,core,screenoth_psc -LifeCycle,LifeCycle_CDM,core,totcarb_psc -LifeCycle,LifeCycle_CDM,core,snacks_psc -LifeCycle,LifeCycle_CDM,core,tm_1 -LifeCycle,LifeCycle_CDM,core,sex -LifeCycle,LifeCycle_CDM,core,tveat_sch -LifeCycle,LifeCycle_CDM,core,tmin_t1 -LifeCycle,LifeCycle_CDM,core,sugar_pgn -LifeCycle,LifeCycle_CDM,core,water_0 -LifeCycle,LifeCycle_CDM,core,trafload100_t1 -LifeCycle,LifeCycle_CDM,core,swebev_pgn -LifeCycle,LifeCycle_CDM,core,uvddc_t1 -LifeCycle,LifeCycle_CDM,core,trafload100_0 -LifeCycle,LifeCycle_CDM,core,totprot_psc -LifeCycle,LifeCycle_CDM,core,trans_0 -LifeCycle,LifeCycle_CDM,core,skipbreakf_psc -LifeCycle,LifeCycle_CDM,core,redmeat_psc -LifeCycle,LifeCycle_CDM,outcome,triglycerides_cord -LifeCycle,LifeCycle_CDM,core,pm25s_t1 -LifeCycle,LifeCycle_CDM,core,screenage_psc -LifeCycle,LifeCycle_CDM,core,skipbreakf_sch -LifeCycle,LifeCycle_CDM,core,prepreg_weight_ga -LifeCycle,LifeCycle_CDM,core,pm25fe_t1 -LifeCycle,LifeCycle_CDM,core,prepreg_ed -LifeCycle,LifeCycle_CDM,core,preg_psych -LifeCycle,LifeCycle_CDM,core,solid_food -LifeCycle,LifeCycle_CDM,core,preg_an -LifeCycle,LifeCycle_CDM,core,smk_p -LifeCycle,LifeCycle_CDM,core,preg_cig -LifeCycle,LifeCycle_CDM,core,sleept_psc -LifeCycle,LifeCycle_CDM,core,prepreg_psych -LifeCycle,LifeCycle_CDM,core,tmin_1 -LifeCycle,LifeCycle_CDM,core,swebev_psc -LifeCycle,LifeCycle_CDM,core,supp_pgn -LifeCycle,LifeCycle_CDM,core,snacks_sch -LifeCycle,LifeCycle_CDM,core,tmax_1 -LifeCycle,LifeCycle_CDM,core,totcarb_pgn -LifeCycle,LifeCycle_CDM,core,supp_psc -LifeCycle,LifeCycle_CDM,core,sibling_pos -LifeCycle,LifeCycle_CDM,core,tmin_preg -LifeCycle,LifeCycle_CDM,core,tmax_t1 -LifeCycle,LifeCycle_CDM,core,tmax_preg -LifeCycle,LifeCycle_CDM,core,totprot_pgn -LifeCycle,LifeCycle_CDM,core,sugar_psc -LifeCycle,LifeCycle_CDM,core,supp_sch -LifeCycle,LifeCycle_CDM,core,sugar_sch -LifeCycle,LifeCycle_CDM,core,totfat_pgn -LifeCycle,LifeCycle_CDM,core,trafnear_0 -LifeCycle,LifeCycle_CDM,core,uvdec_1 -LifeCycle,LifeCycle_CDM,core,tv_psc -LifeCycle,LifeCycle_CDM,outcome,wm_avg_0 -LifeCycle,LifeCycle_CDM,outcome,urticaria -LifeCycle,LifeCycle_CDM,core,transfat_pgn -LifeCycle,LifeCycle_CDM,core,tm_preg -LifeCycle,LifeCycle_CDM,core,uvdec_preg -LifeCycle,LifeCycle_CDM,core,trafmajorload100_preg -LifeCycle,LifeCycle_CDM,core,trafnear_t1 -LifeCycle,LifeCycle_CDM,outcome,wm_instr_0 -LifeCycle,LifeCycle_CDM,core,trafload100_preg -LifeCycle,LifeCycle_CDM,core,uvdvc_1 -LifeCycle,LifeCycle_CDM,core,uvddc_preg -LifeCycle,LifeCycle_CDM,core,urbgr_preg -LifeCycle,LifeCycle_CDM,core,transfat_sch -LifeCycle,LifeCycle_CDM,core,vldres_0 -LifeCycle,LifeCycle_CDM,core,tveat_psc -LifeCycle,LifeCycle_CDM,outcome,cimtmes_0 -LifeCycle,LifeCycle_CDM,core,trans_preg -LifeCycle,LifeCycle_CDM,core,trafmajorload100_t1 -LifeCycle,LifeCycle_CDM,outcome,wm_pro_0 -LifeCycle,LifeCycle_CDM,core,uvdvc_preg -LifeCycle,LifeCycle_CDM,core,trans_t1 -LifeCycle,LifeCycle_CDM,core,whgrains_pgn -LifeCycle,LifeCycle_CDM,outcome,adipo_0 -LifeCycle,LifeCycle_CDM,core,weight_who_ga -LifeCycle,LifeCycle_CDM,core,walkability_mean_t1 -LifeCycle,LifeCycle_CDM,core,whgrains_psc -LifeCycle,LifeCycle_CDM,outcome,whe_0 -LifeCycle,LifeCycle_CDM,core,whgrains_sch -LifeCycle,LifeCycle_CDM,core,whe_ever4 -LifeCycle,LifeCycle_CDM,outcome,wm_age_0 -LifeCycle,LifeCycle_CDM,outcome,whe_ever -LifeCycle,LifeCycle_CDM,outcome,whe_ever2 -LifeCycle,LifeCycle_CDM,outcome,armlengthage_0 -LifeCycle,LifeCycle_CDM,outcome,csbp_0 -LifeCycle,LifeCycle_CDM,core,child_no -LifeCycle,LifeCycle_CDM,outcome,adipoage_0 -LifeCycle,LifeCycle_CDM,outcome,dxalm_0 -LifeCycle,LifeCycle_CDM,outcome,bioage_0 -LifeCycle,LifeCycle_CDM,outcome,dxalmage_0 -LifeCycle,LifeCycle_CDM,outcome,dxalmmes_0 -LifeCycle,LifeCycle_CDM,outcome,chol_0 -LifeCycle,LifeCycle_CDM,outcome,f_dbp_0 -LifeCycle,LifeCycle_CDM,outcome,f_sbp_0 -LifeCycle,LifeCycle_CDM,outcome,glucose_0 -LifeCycle,LifeCycle_CDM,outcome,ldlc_0 -LifeCycle,LifeCycle_CDM,outcome,glucoseage_0 -LifeCycle,LifeCycle_CDM,outcome,glucosemes_0 -LifeCycle,LifeCycle_CDM,outcome,haem_0 -LifeCycle,LifeCycle_CDM,outcome,biomes_0 -LifeCycle,LifeCycle_CDM,outcome,haemage_0 -LifeCycle,LifeCycle_CDM,outcome,haemmes_0 -LifeCycle,LifeCycle_CDM,outcome,bpage_0 -LifeCycle,LifeCycle_CDM,outcome,hba1c_0 -LifeCycle,LifeCycle_CDM,outcome,cbpsit_0 -LifeCycle,LifeCycle_CDM,outcome,hba1cage_0 -LifeCycle,LifeCycle_CDM,outcome,hipcircage_0 -LifeCycle,LifeCycle_CDM,outcome,m_sbp_0 -LifeCycle,LifeCycle_CDM,outcome,hipcircmes_0 -LifeCycle,LifeCycle_CDM,outcome,sbpav_0 -LifeCycle,LifeCycle_CDM,outcome,m_triglycerides_0 -LifeCycle,LifeCycle_CDM,outcome,il6age_0 -LifeCycle,LifeCycle_CDM,outcome,pulse_0 -LifeCycle,LifeCycle_CDM,outcome,il6mes_0 -LifeCycle,LifeCycle_CDM,outcome,insulin_0 -LifeCycle,LifeCycle_CDM,outcome,insulinage_0 -LifeCycle,LifeCycle_CDM,outcome,insulinmes_0 -LifeCycle,LifeCycle_CDM,outcome,ldlcage_0 -LifeCycle,LifeCycle_CDM,outcome,ldlcmes_0 -LifeCycle,LifeCycle_CDM,core,urb_area_id -LifeCycle,LifeCycle_CDM,core,vldres_preg -LifeCycle,LifeCycle_CDM,outcome,wm_eval_0 -LifeCycle,LifeCycle_CDM,core,uvddc_1 -LifeCycle,LifeCycle_CDM,core,urbgr_0 -LifeCycle,LifeCycle_CDM,core,trafmajorload100_0 -LifeCycle,LifeCycle_CDM,core,totprot_sch -LifeCycle,LifeCycle_CDM,core,vldres_t1 -LifeCycle,LifeCycle_CDM,core,transfat_psc -LifeCycle,LifeCycle_CDM,core,trafnear_preg -LifeCycle,LifeCycle_CDM,core,uvdvc_t1 -LifeCycle,LifeCycle_CDM,core,veg_pgn -LifeCycle,LifeCycle_CDM,core,water_t1 -LifeCycle,LifeCycle_CDM,outcome,wm_raw_0 -LifeCycle,LifeCycle_CDM,core,weight_f1 -LifeCycle,LifeCycle_CDM,outcome,vldlc_cord -LifeCycle,LifeCycle_CDM,core,weight_mes_f1 -LifeCycle,LifeCycle_CDM,core,veg_psc -LifeCycle,LifeCycle_CDM,outcome,whe_ever5_10 -LifeCycle,LifeCycle_CDM,core,veg_sch -LifeCycle,LifeCycle_CDM,core,walkability_mean_0 -LifeCycle,LifeCycle_CDM,core,weight_f1_fath -LifeCycle,LifeCycle_CDM,core,walkability_mean_preg -LifeCycle,LifeCycle_CDM,core,weight_0 -LifeCycle,LifeCycle_CDM,core,water_preg -LifeCycle,LifeCycle_CDM,outcome,crp_0 -LifeCycle,LifeCycle_CDM,outcome,armcirc_0 -LifeCycle,LifeCycle_CDM,outcome,crpage_0 -LifeCycle,LifeCycle_CDM,outcome,crpmes_0 -LifeCycle,LifeCycle_CDM,outcome,armcircage_0 -LifeCycle,LifeCycle_CDM,outcome,crpwv_0 -LifeCycle,LifeCycle_CDM,outcome,armcircmes_0 -LifeCycle,LifeCycle_CDM,outcome,crpwvage_0 -LifeCycle,LifeCycle_CDM,outcome,armlength_0 -LifeCycle,LifeCycle_CDM,outcome,dbp_0 -LifeCycle,LifeCycle_CDM,outcome,armlengthmes_0 -LifeCycle,LifeCycle_CDM,outcome,dbpav_0 -LifeCycle,LifeCycle_CDM,outcome,bicepsf_0 -LifeCycle,LifeCycle_CDM,outcome,dominant_armc_0 -LifeCycle,LifeCycle_CDM,outcome,dxafm_0 -LifeCycle,LifeCycle_CDM,outcome,bicepsfage_0 -LifeCycle,LifeCycle_CDM,outcome,dxafmage_0 -LifeCycle,LifeCycle_CDM,outcome,bicepsfmes_0 -LifeCycle,LifeCycle_CDM,outcome,dxafmmes_0 -LifeCycle,LifeCycle_CDM,outcome,bio_0 -LifeCycle,LifeCycle_CDM,outcome,cdbp_0 -LifeCycle,LifeCycle_CDM,core,abroad_fa -LifeCycle,LifeCycle_CDM,outcome,hba1cmes_0 -LifeCycle,LifeCycle_CDM,outcome,cfpwv_0 -LifeCycle,LifeCycle_CDM,outcome,hdlc_0 -LifeCycle,LifeCycle_CDM,outcome,cfpwvage_0 -LifeCycle,LifeCycle_CDM,outcome,hdlcage_0 -LifeCycle,LifeCycle_CDM,outcome,vldlc_0 -LifeCycle,LifeCycle_CDM,outcome,hdlcmes_0 -LifeCycle,LifeCycle_CDM,outcome,cholage_0 -LifeCycle,LifeCycle_CDM,outcome,headcirc_0 -LifeCycle,LifeCycle_CDM,outcome,cholmes_0 -LifeCycle,LifeCycle_CDM,outcome,leptin_0 -LifeCycle,LifeCycle_CDM,outcome,leptinage_0 -LifeCycle,LifeCycle_CDM,outcome,pulseage_0 -LifeCycle,LifeCycle_CDM,outcome,leptinmes_0 -LifeCycle,LifeCycle_CDM,outcome,m_chol_0 -LifeCycle,LifeCycle_CDM,outcome,tricepsfmes_0 -LifeCycle,LifeCycle_CDM,outcome,triglycerides_0 -LifeCycle,LifeCycle_CDM,outcome,triglyceridesage_0 -LifeCycle,LifeCycle_CDM,outcome,triglyceridesmes_0 -LifeCycle,LifeCycle_CDM,outcome,vldlcage_0 -LifeCycle,LifeCycle_CDM,outcome,vldlcmes_0 -LifeCycle,LifeCycle_CDM,outcome,waistcirc_0 -LifeCycle,LifeCycle_CDM,outcome,waistcircage_0 -LifeCycle,LifeCycle_CDM,core,abroad_child -LifeCycle,LifeCycle_CDM,core,abroad_mo -LifeCycle,LifeCycle_CDM,outcome,adhd_age_0 -LifeCycle,LifeCycle_CDM,outcome,adhd_avg_0 -LifeCycle,LifeCycle_CDM,outcome,adhd_eval_0 -LifeCycle,LifeCycle_CDM,core,GA_anx_t1 -LifeCycle,LifeCycle_CDM,outcome,inh_all_sens_SPT_0 -LifeCycle,LifeCycle_CDM,outcome,inhalant_all_sens_SPT_0 -LifeCycle,LifeCycle_CDM,outcome,headcircage_0 -LifeCycle,LifeCycle_CDM,outcome,cimt_0 -LifeCycle,LifeCycle_CDM,outcome,headcircmes_0 -LifeCycle,LifeCycle_CDM,outcome,cimtage_0 -LifeCycle,LifeCycle_CDM,outcome,heightmes_0 -LifeCycle,LifeCycle_CDM,outcome,m_ldlc_0 -LifeCycle,LifeCycle_CDM,outcome,hipcirc_0 -LifeCycle,LifeCycle_CDM,outcome,pulsemessit_0 -LifeCycle,LifeCycle_CDM,outcome,m_crp_0 -LifeCycle,LifeCycle_CDM,outcome,m_dbp_0 -LifeCycle,LifeCycle_CDM,outcome,sbp_0 -LifeCycle,LifeCycle_CDM,outcome,m_glucose_0 -LifeCycle,LifeCycle_CDM,outcome,m_haem_0 -LifeCycle,LifeCycle_CDM,outcome,sittinght_0 -LifeCycle,LifeCycle_CDM,outcome,m_hba1c_0 -LifeCycle,LifeCycle_CDM,outcome,m_hdlc_0 -LifeCycle,LifeCycle_CDM,outcome,sittinghtage_0 -LifeCycle,LifeCycle_CDM,outcome,m_insulin_0 -LifeCycle,LifeCycle_CDM,outcome,sittinghtmes_0 -LifeCycle,LifeCycle_CDM,outcome,subscapsf_0 -LifeCycle,LifeCycle_CDM,outcome,waistcircmes_0 -LifeCycle,LifeCycle_CDM,outcome,weightmes_0 -LifeCycle,LifeCycle_CDM,outcome,subscapsfage_0 -LifeCycle,LifeCycle_CDM,core,kcal_psc -LifeCycle,LifeCycle_CDM,core,plurality -LifeCycle,LifeCycle_CDM,outcome,adhdR_age_0 -LifeCycle,LifeCycle_CDM,core,airpt_0 -LifeCycle,LifeCycle_CDM,outcome,adhd_raw_0 -LifeCycle,LifeCycle_CDM,core,fish_psc -LifeCycle,LifeCycle_CDM,outcome,fm_age_0 -LifeCycle,LifeCycle_CDM,core,ga_us -LifeCycle,LifeCycle_CDM,core,prepreg_anx -LifeCycle,LifeCycle_CDM,outcome,asthma_current_MeDALL -LifeCycle,LifeCycle_CDM,core,ethn1_p -LifeCycle,LifeCycle_CDM,core,fish_pgn -LifeCycle,LifeCycle_CDM,outcome,lan_pro_0 -LifeCycle,LifeCycle_CDM,core,preg_dia -LifeCycle,LifeCycle_CDM,core,preg_smk -LifeCycle,LifeCycle_CDM,core,urbgr_t1 -LifeCycle,LifeCycle_CDM,core,totfat_psc -LifeCycle,LifeCycle_CDM,outcome,URTI_0 -LifeCycle,LifeCycle_CDM,core,preeclam -LifeCycle,LifeCycle_CDM,core,smk_t1 -LifeCycle,LifeCycle_CDM,core,connind100_preg -LifeCycle,LifeCycle_CDM,core,death_p_fath -LifeCycle,LifeCycle_CDM,outcome,tricepsf_0 -LifeCycle,LifeCycle_CDM,core,folic_prepreg -LifeCycle,LifeCycle_CDM,core,pets_0 -LifeCycle,LifeCycle_CDM,core,alc_t1 -LifeCycle,LifeCycle_CDM,outcome,asthma_current_ISAAC_0 -LifeCycle,LifeCycle_CDM,core,birth_length -LifeCycle,LifeCycle_CDM,core,cats_preg -LifeCycle,LifeCycle_CDM,core,totfat_sch -LifeCycle,LifeCycle_CDM,outcome,adipomes_0 -LifeCycle,LifeCycle_CDM,core,nffish_sch -LifeCycle,LifeCycle_CDM,core,reledu_mo -LifeCycle,LifeCycle_CDM,core,uvdec_t1 -LifeCycle,LifeCycle_CDM,core,weight_age0 -LifeCycle,LifeCycle_CDM,core,na_sch -LifeCycle,LifeCycle_CDM,outcome,nvi_std_0 -LifeCycle,LifeCycle_CDM,core,miggen_child -LifeCycle,LifeCycle_CDM,core,prepreg_dia -LifeCycle,LifeCycle_CDM,core,procmeat_pgn -LifeCycle,LifeCycle_CDM,core,reledu_fa -LifeCycle,LifeCycle_CDM,core,sleeptage_psc -LifeCycle,LifeCycle_CDM,outcome,wm_pc_0 -LifeCycle,LifeCycle_CDM,outcome,allergy_inh_m -LifeCycle,LifeCycle_CDM,core,folic_post12 -LifeCycle,LifeCycle_CDM,core,foodenvdens300_t1 -LifeCycle,LifeCycle_CDM,outcome,gm_pro_0 -LifeCycle,LifeCycle_CDM,outcome,int_instr_0 -LifeCycle,LifeCycle_CDM,core,inh_all_sens_SPT_0 -LifeCycle,LifeCycle_CDM,outcome,lan_avg_0 -LifeCycle,LifeCycle_CDM,outcome,gm_raw_0 -LifeCycle,LifeCycle_CDM,core,hdres_preg -LifeCycle,LifeCycle_CDM,outcome,FeNO_0 -LifeCycle,LifeCycle_CDM,outcome,fm_std_0 -LifeCycle,LifeCycle_CDM,outcome,FVC_abs_0 -LifeCycle,LifeCycle_CDM,core,outdoorp_psc -LifeCycle,LifeCycle_CDM,outcome,wm_std_0 -LifeCycle,LifeCycle_CDM,outcome,ext_age_0 -LifeCycle,LifeCycle_CDM,outcome,haem_cord -LifeCycle,LifeCycle_CDM,core,lden_0 -LifeCycle,LifeCycle_CDM,outcome,nvi_instr_0 -LifeCycle,LifeCycle_CDM,core,preg_fever -LifeCycle,LifeCycle_CDM,core,ethn3_m -LifeCycle,LifeCycle_CDM,core,apgar -LifeCycle,LifeCycle_CDM,core,breastfed_ever -LifeCycle,LifeCycle_CDM,core,fdensity300_t1 -LifeCycle,LifeCycle_CDM,core,SAI_score_t1 -LifeCycle,LifeCycle_CDM,core,SCL_total_score_t1 -LifeCycle,LifeCycle_CDM,core,SCL_anx_score_t1 -LifeCycle,LifeCycle_CDM,outcome,adhd_instr_0 -LifeCycle,LifeCycle_CDM,outcome,adhd_pc_0 -LifeCycle,LifeCycle_CDM,outcome,adhd_pro_0 -testNetwork1,LifeCycle_CDM,core,ga_lmp diff --git a/data/_demodata/applications/datacatalogue/Networks.csv b/data/_demodata/applications/datacatalogue/Networks.csv deleted file mode 100644 index ce0da91417..0000000000 --- a/data/_demodata/applications/datacatalogue/Networks.csv +++ /dev/null @@ -1,10 +0,0 @@ -id,pid,acronym,name,type,features,website,lead organisation,additional organisations,description,logo,logo_filename,countries,start year,end year,publications,funding statement,acknowledgements,data sources,databanks,cohorts,models,networks -EUChildNetwork,,EUChildNetwork,The EU Child Cohort Network,harmonization,,https://lifecycle-project.eu/for-scientists/the-eu-child-cohort-network/,,,"The EU Child Cohort Network: A Europe-wide network of cohort studies started in early life Cohort studies started from pregnancy or childhood give the unique opportunity to relate early-life stressors with variation in development, health and disease throughout the life course. Moreover, advanced analytical approaches used in observational studies can help identify causality and potential for early-life interventions on factors that cannot be easily studied in experimental settings. These factors include socioeconomic circumstances, migration, urban environment as well as lifestyle-related determinants and will be given particular focus in our project. We will set up a European pregnancy and childhood cohort, the EU Child Cohort Network, which brings together extensive existing data from more than 250,000 European children and their parents. These cohorts enable studies in multiple generations because of their detailed phenotyping of both parents and children. The network will bring together existing successful multidisciplinary cohort studies, which all started before or during pregnancy or in childhood. Together, they span the full life course and contain detailed phenotypical information as well as biological samples. The EU Child Cohort Network will optimize exploitation of more than 40 available cohort resources in Europe and will enable innovative research on identification of novel markers of early-life stressors related to health trajectories throughout the full life cycle. Although LifeCycle partners and their cohorts have taken the initiative for this unique collaboration, the network is open to other partners with population-based cohorts started in early life, specifically those from Eastern and Southern Europe. To ensure that this will be a Europe-wide, open and sustainable network, which exceeds the LifeCycle Project duration, we will introduce a data sharing platform taking account of ethical, legal and societal implications, we will organize yearly meetings open to all European pregnancy and child cohort researchers and we will start a fellowship programme for exchange between these European cohorts.",,,,,,,,,,,"NOMA,RS2,RS1,RS3,KANC,ALSPAC,GECKO,GenR","LifeCycle_CDM,LongITools_CDM","LifeCycle,ATHLETE,LongITools" -OOM,,OOM,OOM,,,,"UMCU,GSK","PHARMO.I,UoD,LAREB,GSK,USWAN,UMCU,UMCG,ULST,UPP,UB,KUL,NP,SAN,FISABIO,LIPRE,DHL.I,BBMRI-ERIC,JP,CHUT,FERR,SIDIAP.I,TAK,CNR-IFC,ARS.TOSCANA,MLT.I,AU,AEMPS,OVGU,UM,UKZN,IHD,UCB,UiO","The main goal of OOM is to establish a trusted ecosystem that can efficiently, systematically, and in an ethically responsible manner, generate and disseminate reliable evidence-based information regarding effects of medications used during pregnancy and breastfeeding to women and their healthcare providers. This will be achieved by generating, cataloguing, linking, collecting and analysing data from pharmacovigilance, modelling, routine healthcare, breastmilk samples through a large network.",,,,,,,,,"ABL,DHL,EUROCAT NNL","COD_FARMACI_SPF,AP,ARS_PS,EXE,PHT,SEA,SPA,VCN,SALM,MBRN,RMR","GECKO,GenR,RS1,RS2,RS3",OOM_CDM,"LifeCycle,ATHLETE" -LifeCycle,,LifeCycle,The LifeCycle Project,,,https://lifecycle-project.eu/,,,"A Europe-wide network of cohort studies started in early life Cohort studies started from pregnancy or childhood give the unique opportunity to relate early-life stressors with variation in development, health and disease throughout the life course. Moreover, advanced analytical approaches used in observational studies can help identify causality and potential for early-life interventions on factors that cannot be easily studied in experimental settings. These factors include socioeconomic circumstances, migration, urban environment as well as lifestyle-related determinants and will be given particular focus in our project. We will set up a European pregnancy and childhood cohort, the EU Child Cohort Network, which brings together extensive existing data from more than 250,000 European children and their parents. These cohorts enable studies in multiple generations because of their detailed phenotyping of both parents and children. The network will bring together existing successful multidisciplinary cohort studies, which all started before or during pregnancy or in childhood. Together, they span the full life course and contain detailed phenotypical information as well as biological samples. The EU Child Cohort Network will optimize exploitation of more than 40 available cohort resources in Europe and will enable innovative research on identification of novel markers of early-life stressors related to health trajectories throughout the full life cycle. Although LifeCycle partners and their cohorts have taken the initiative for this unique collaboration, the network is open to other partners with population-based cohorts started in early life, specifically those from Eastern and Southern Europe. To ensure that this will be a Europe-wide, open and sustainable network, which exceeds the LifeCycle Project duration, we will introduce a data sharing platform taking account of ethical, legal and societal implications, we will organize yearly meetings open to all European pregnancy and child cohort researchers and we will start a fellowship programme for exchange between these European cohorts.",,,,,,,,,,,"ELFE,GECKO,ALSPAC",LifeCycle_CDM, -ATHLETE,,ATHLETE,Advancing Tools for Human Early Lifecourse Exposome Research and Translation,h2020,,https://athleteproject.eu/,,,"Children are particularly vulnerable to environmental hazards. The ATHLETE project will measure a wide range of environmental exposures (urban, chemical, lifestyle and social risk factors) during pregnancy, childhood, and adolescence. The project will then link this “early-life exposome” to children’s biological responses and cardiometabolic, respiratory, and mental health. The results will help us to better understand and prevent health damage from environmental agents from the earliest parts of the life course onward.",,,,,,,,,,,"DNBC,PELAGIE,G21,ELSPAC,BIB,GenR,Sepages,INMA,EDEN,MoBa,KANC,GenR Next",ATHLETE_CDM, -IPEC,,IPEC,International Psychosis Epidemiology Consortium,harmonization,,https://www.ipec-project.com/,UMCG,"UMCG,GGZ Drenthe,GGZ Friesland,Lentis Research,UCPH","There are many early psychosis cohorts in the world. Epidemiological research with these cohorts over the past decades has greatly increased the understanding of distribution and mechanisms of psychotic disorders. Carrying out cross-country comparisons on a larger scale is extremely costly. An alternative strategy is to pool the existing large amount of data from high-quality early psychosis studies at an individual patient level. This approach has multiple advantages: it allows for examining psychosis determinants with greater precision, also including rare exposures and outcomes, focusing on (long-term) follow-up, and making optimal use of already existing data. To achieve this, the International Psychosis Epidemiology Consortium (IPEC) has catalogued and harmonized data from early psychosis cohorts and set up a virtual databank. With this databank, multiple (epidemiological) studies within the scope of the following research question will be conducted: “What drives the course of functional, existential and clinical outcomes of (early) psychosis and how does the social and geographical context shape these patterns?”.",,,"Denmark,Netherlands (the)",2023,,,"IPEC was supported by the 2020 SIRS Research Harmonization Group Award which included a grant in the amount of $5000 USD to Prof. Wim Veling and Prof. Craig Morgan; an internal MD-PhD research grant of the University Medical Center Groningen (grant number 18-41) to Vera Brink, MSc; a grant in the amount of 400,000 DKK of the Capital Regions Research council to Dr Nikolai Albert; and the participating institutions (Lentis Psychiatric Institute, GGZ Drenthe, GGZ Friesland, University Center Psychiatry of University Medical Center Groningen, Bispebjerg hospital, Psychiatric Hospital Risskov, and Psychiatric Centre Copenhagen).","IPEC wishes to acknowledge the services of all the study participants, staff, research groups, and institutions collaborating in IPEC, and of MOLGENIS and RoQua, who helped build and maintain the technical infrastructure.",,,PSYCONN,IPEC_CDM, -LongITools,,LongITools,LongITools health & environment dynamics,h2020,,https://longitools.org/,,,"LongITools is a European research project studying the interactions between the environment, lifestyle and health in determining the risks of chronic cardiovascular and metabolic diseases.",,,,,,,,,,,"NFBC1986,G21,DFBC,ALSPAC,EDEN,NOMA,ELFE,RS2,RS1,ENVIRONAGE,GenR",, -testNetwork2,https://pid-testnetwork2.org,acronym for test network2,name for test network2,EU4health - Prevention,"Funding,EU institutional research programme,Non-EU institutional research programme,EMA,National competent authority (NCAs),Other public funding (e.g. hospital or university),Non for-profit organisation (e.g. charity),Pharmaceutical company and other private sector,No external funding,Funding: Other",https://www.molgenis.org,UMCG,"AMC,CYN",test description for new test network,,,"Germany,Netherlands (the)",1975,2010,https://doi.org/10.1016/S1473-3099(20)30873-2,"test funding statement for test network - check that ""until now"" has been included blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah until now","test acknowledgements for test network - check that ""until now"" has been included blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah until now",,"COD_FARMACI_SPF,SPECIALISTICA,AP","testCohort1,testCohort2",testNetwork1_CDM, -testNetworkofNetworks,https://pid-testnetworkofnetworks.org,acronym for test network of networks,name for test network of networks,EU4health - Prevention,"Funding,EU institutional research programme,Non-EU institutional research programme,EMA,National competent authority (NCAs),Other public funding (e.g. hospital or university),Non for-profit organisation (e.g. charity),Pharmaceutical company and other private sector,No external funding,Funding: Other",https://www.molgenis.org,UMCG,"AMC,CYN",test description for new test network,,,"Germany,Netherlands (the)",1975,2010,https://doi.org/10.1016/S1473-3099(20)30873-2,"test funding statement for test network - check that ""until now"" has been included Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. until now","test acknowledgements for test network - check that ""until now"" has been included Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. until now",,"COD_FARMACI_SPF,SPECIALISTICA,AP","testCohort3,testCohort1,testCohort2",testNetwork1_CDM,"testNetwork2,testNetwork1" -testNetwork1,https://pid-testnetwork1.org,acronym for test network1,name for test network1,EU4health - Prevention,"Funding,EU institutional research programme,Non-EU institutional research programme,EMA,National competent authority (NCAs),Other public funding (e.g. hospital or university),Non for-profit organisation (e.g. charity),Pharmaceutical company and other private sector,No external funding,Funding: Other",https://www.molgenis.org,UMCG,"AMC,CYN",test description for new test network,,,"Central African Republic (the),Chad",1975,2010,"https://doi.org/10.1016/S1473-3099(20)30873-2,https://doi.org/10.1136/bmjopen-2017-015867","test funding statement for test network - check that ""until now"" has been included Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. until now","test acknowledgements for test network - check that ""until now"" has been included Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. until now",TestDataSourceID,"COD_FARMACI_SPF,SPECIALISTICA,AP","testCohort3,testCohort4,testCohort1,testCohort2",testNetwork1_CDM, diff --git a/data/_demodata/applications/datacatalogue/Organisations.csv b/data/_demodata/applications/datacatalogue/Organisations.csv deleted file mode 100644 index b629b54a6a..0000000000 --- a/data/_demodata/applications/datacatalogue/Organisations.csv +++ /dev/null @@ -1,149 +0,0 @@ -id,pid,acronym,name,type,type other,institution,institution acronym,email,logo,logo_filename,address,expertise,country,features,role,website,description -UU,,UU,University of Utrecht ,University,,,,,,,,,Netherlands (the),,,, -AvL,,AvL,Antoni van Leeuwenhoek,Teaching hospital,,,,,,,,,Netherlands (the),,,, -USEY,,USEY,University of Surrey ,University,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,, -AMC,,AMC,Amsterdam Medical Center ,University,,,,,,,,,Netherlands (the),,,, -CYN,,CYN,Cynexo ,SME,,,,,,,,,Italy,,,, -CEIS,,CEIS,University of Rome ,University,,,,,,,,,Italy,,,, -TUNI,,,Tampere University,University,,,,,,,,,Finland,,,https://www.tuni.fi/en, -INSERM,,INSERM,National Institute of Medical Research ,Research centre,,,,,,,,,France,,,, -UCL,,UCL,University College London ,University,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,, -ICL,,ICL,Imperial College London,University,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,, -BETA,,BETA,Beta Technologies,SME,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,, -UEF,,UEF,University of Eastern Finland,University,,,,,,,,,Finland,,,, -CUT,,CUT,Chalmers University of Technology ,University,,,,,,,,,Sweden,,,, -MLT,,MLT,"Malta Congenital Anomalies Registry, Directorate for Health Information and Research",Research centre,,,,,,,,,Malta,,,, -AMF,,AMF,Malformation Monitoring Centre Saxony-Anhalt Medical Faculty,University,,,,,,,,,Germany,,,, -MUMC,,,Maastricht UMC+,Academic medical centre,,,,,,,,,,,,, -BRI,,BRI,Bradford Royal Infirmary,Teaching hospital,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,, -NIPH,,NIPH,Norwegian Institute of Public Health,Government agency,,,,,,,,,Norway,,,https://www.fhi.no/en/, -UNITO,,UNITO,Università degli Studi di Torino,University,,,,,,,,,Italy,,,https://www.unito.it/, -UHASSELT,,UHASSELT,Hasselt University (Universiteit Hasselt),University,,,,,,,,,Belgium,,,http://www.uhasselt.be/en, -NKI,,NKI,Netherlands Cancer Institute,Research centre,,,,,,,,,,,,, -UOC,,UOC,University of Crete,University,,,,,,,,,Greece,,,https://www.uoc.gr/, -LMU,,LMU,Medical Faculty - LMU Munich,University,,,,,,,,,Germany,,,https://www.med.uni-muenchen.de/index.html, -UWA,,UWA,University of Western Australia,University,,,,,,,,,Australia,,,https://www.uwa.edu.au/, -VMU,,VMU,Vytautas Magnus University,University,,,,,,,"K. Donelaičio g. 58, LT-44248 Kaunas",,Lithuania,,,https://www.vdu.lt/, -Amsterdam UMC (AMC),,,"Amsterdam UMC, location AMC",Academic medical centre,Netherlands (the),,,,,,,,,,,, -Soton,,Soton,University of Southampton,University,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,https://www.southampton.ac.uk/, -HUA,,HUA,Harokopio University,University,,,,evangeliatzo@gmail.com,,,,,,,,https://www.ddns.hua.gr/en/home/, -KI,,KI,Karolinska Institutet,University,,,,,,,,,Sweden,,,https://ki.se/en, -UCD,,UCD,University College Dublin,University,,,,,,,,,Ireland,,,, -UIBK,,UIBK,Universität Innsbruck,University,,,,,,,,,Austria,,,https://www.uibk.ac.at/, -GGZ Drenthe,,,GGZ Drenthe,,,,,,,,,,,,,, -GGZ Friesland,,,GGZ Friesland,,,,,,,,,,,,,, -Lentis Research,,,Lentis Research,,,,,,,,,,,,,, -ISPUP,,,Institute of Public Health of the University of Porto,,,,,,,,,,,,,, -CUH,,CUH,Copenhagen University Hospital,University,,,,,,,,,Denmark,,,, -pre-demo,,,test org,,,,,,,,,,,,,, -VIB,,,VIB,,,,,,,,,,Belgium,,,https://vib.be/, -WWU,,,WESTFAELISCHE WILHELMSUNIVERSITAET MUENSTER,,,,,,,,,,Germany,,,https://www.uni-muenster.de/en/, -ImaginAb,,,"IMAGINAB, INC",,,,,,,,,,United States of America (the),,,https://imaginab.com/, -Pfizer,,,PFIZER LIMITED,,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,https://www.pfizer.com/, -Janssen,,,JANSSEN PHARMACEUTICA NV,,,,,,,,,,Belgium,,,https://www.janssen.com/belgium/, -UCAM,,,THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE,,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,https://www.cam.ac.uk/, -Takeda,,,TAKEDA DEVELOPMENT CENTRE EUROPE LTD,,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,, -Bayer,,,BAYER AKTIENGESELLSCHAFT,,,,,,,,,,Germany,,,https://www.bayer.com/en/, -Novartis,,,NOVARTIS PHARMA AG,,,,,,,,,,Switzerland,,,https://www.novartis.com/, -Roche,,,F. HOFFMANN-LA ROCHE AG,,,,,,,,,,Switzerland,,,https://www.roche.com/, -ECPC,,,EUROPEAN CANCER PATIENT COALITION,,,,,,,,,,Belgium,,,https://ecpc.org/, -AmsterdamUMC (VUmc),,,Amterdam UMC locatie VUmc,Academic medical centre,,,,,,,,,,,,, -PHARMO,,PHARMO,The PHARMO institute,Research centre,,,,,,,,,Netherlands (the),,,, -ABAC,,ABAC,Ab-acus ,SME,,,,,,,,,Italy,,,, -EMC,,EMC,Erasmus MC,University,,,,,,,,,Netherlands (the),,,, -Maxima MC,,MMC,Maxima Medisch Centrum,Hospital/Clinic/Other health care facility,,,,,,,,,,,,, -UOB,,UOB,University of Bristol,University,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,, -RECETOX,,RECETOX,Research Centre for Toxic Compounds in the Environment,Research centre,,,,,,,,,Czechia,,,https://www.recetox.muni.cz/en, -LYG,,,STICHTING LYGATURE,,,,,,,,,,Netherlands (the),,,https://www.lygature.org/, -Antaros,,,ANTAROS MEDICAL AB,,,,,,,,,,Sweden,,,https://antarosmedical.com/, -VHIR,,,FUNDACIO HOSPITAL UNIVERSITARI VALL D'HEBRON - INSTITUT DE RECERCA,,,,,,,,,,Spain,,,, -EKUT,,,EBERHARD KARLS UNIVERSITAET TUEBINGEN,,,,,,,,,,Germany,,,https://uni-tuebingen.de/en/, -VUB,,,VRIJE UNIVERSITEIT BRUSSEL,,,,,,,,,,Belgium,,,https://www.vub.be/en/home, -VHIO,,,FUNDACIO PRIVADA INSTITUT D'INVESTIGACIO ONCOLOGICA DE VALL-HEBRON,,,,,,,,,,Spain,,,https://www.vhio.net/, -VUMC,,P1,STICHTING VUMC,,,,,,,,,,Netherlands (the),,,https://www.vumc.nl/, -CEA,,,COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES,,,,,,,,,,France,,,http://www.cea.fr/english/Pages/Welcome.aspx, -TTOP,,,TTOPSTART BV,,,,,,,,,,Netherlands (the),,,https://ttopstart.com/, -Lawrencium,,,LAWRENCIUM LEGAL BV,,,,,,,,,,Netherlands (the),,,https://lawrencium-legal.com/, -UPF,,UPF,University Pompeu Fabra ,University,,,,,,,,,Spain,,,, -UOULU,,UOULU,University of Oulu,University,,,,,,,,,Finland,,,, -ISGLOBAL,,ISGLOBAL,Barcelona Institute for Global Health,Research centre,,,,,,,,,Spain,,,, -IKNL,,,Integraal kankercentrum Nederland,,,,,,,,,,,,,, -CNR-IEOS,,CNR-IEOS,Istituto per l'endocrinologia e l'oncologia,,,,,,,,,,,,,, -UoD,,UoD,University of Dundee,Academic institution,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,, -DHMA,,,Danish Health and Medicines Authority (Sundhedsdatastyrelsen),Government agency,,,,,,,,,,,Other,, -AEMPS,,AEMPS,Agencia Española de Medicamentos y Productos Sanitarios,Government agency,,,,,,,,"The Spanish Agency on medicines and medical devices (AEMPS) is responsable to guarantee the quality, safety, efficacy and correct information of the medicines and medical devices. To do this, the AEMPs has a broad and multidisciplinary expertise in all matters related to medicines and medical devices. In this context, the AEMPs fully finance the non-profit program BIFAP that supports a longitudinal population-based database of computer-based medical patient records belonging to the National Health Service (NHS). The main use of BIFAP is for research purposes in order to evaluate the adverse and beneficial effects of drugs and drug utilization patterns as used in the general population under real conditions of use. The BIFAP multidisciplinary team includes Epidemiologists, clinicians, statistitians, project management and Information Technology personnel with a broad expertise in designing, managing, anlyzing and interpreting big data information.",Spain,,,https://www.aemps.gob.es/, -JP,,JP,Janssen Pharmaceutica NV,Pharmaceutical company,,,,,,,,,Belgium,,,, -P95,,P95,P95,Pharmaceutical company,,,,,,,,,Belgium,,,, -PHARMO.I,,PHARMO,PHARMO Institute,Research centre,,,,,,,,"PHARMO is an independent scientific research organisation dedicated to drug utilisation reviews and outcomes research in current practice. PHARMO assists universities, companies and agencies to formulate and optimise research questions to meet company goals to the highest scientific standards. The institute has direct access to large and high quality pharmaco-epidemiological databases included in the PHARMO Database Network and is staffed with academic trained specialists in epidemiology, pharmacotherapeutics, medicine and informatics. The high level of expertise and access to real world data enables rapid and professional handling of research questions meeting the highest research standards. PHARMO coordinates multi-database studies in Europe in collaboration with local expertise centres. Through collaboration the opportunity arises to increase sample size and market heterogeneity, which allows identification of rare outcomes, small effects and complex interactions with comorbidities and co-medication. Furthermore, working with local partners ensures access to the data and expertise of the local healthcare system and database structure.",Netherlands (the),,Researcher,https://pharmo.nl/, -LAREB,,LAREB,Stichting LAREB,Not-for-profit,,,,,,,,,Netherlands (the),,,, -CNAM,,CNAM,Caisse Nationale d'Assurance Maladie,Healthcare payer,,,,,,,,,France,,Data originator,https://www.ameli.fr/,"The French National Fund for Health Insurance (Caisse nationale de l'Assurance Maladie / CNAM) is the main public health insurer in France ; -It was created by the 1967 ordinance which established a separation of Social Security into autonomous branches: sickness (CNAM), family (CNAF) and old age (CNAV). It acts under the supervision of the Ministry of Social Security and the Ministry of Economy and Finance. -It is involved in the scheme for therapeutic part-time work, established by the law of 10 August 2018 which is intended to help disabled employees return to employment. If the Social Security Medical Board considers this appropriate payment of sickness benefits will continue -It covers 99 % of the French population (salaried workers, self employed workers, and students), through 101 local health insurance funds. - -CNAM manages the Système National des Données de Santé (SNDS) database, which links and regroups: - - health insurance data (from SNIIRAM database - originator: CNAM) - - hospital data (from PMSI database - originator: ATIH) - - medical causes of death (from CépiDC database - originator: INSERM)" -NBHW,,NBHW,Swedish National Board of Health and Welfare,Government agency,,,,,,,,,Sweden,,Other,https://www.socialstyrelsen.se/en/,"The National Board of Health and Welfare is a government agency under the Ministry of Health and Social Affairs, with a very wide range of activities and many different duties within the fields of social services, health and medical services, patient safety and epidemiology." -AU,,AU,Aarhus University,Academic institution,,,,,,,,"Department of Clinical Epidemiology, Aarhus University, offers consultancy services and research collaboration to health authorities as well as to the pharmaceutical and biotech industries. Our research is focused on prevention, diagnostics and treatment and related areas such as biostatistics, evidence-based medicine, and e-health as well as traditional research and quality assessments. Approximately 100 people are affiliated with the department.",Denmark,,Researcher,https://international.au.dk/,"Department of Clinical Epidemiology, Aarhus University, is a highly specialized research department working with clinical epidemiology at an international level. Its mission is to improve clinical care through high-quality clinical epidemiological research, education, and translation of knowledge into clinical practice. Its vision is to be a world-leading department of clinical epidemiology, working in global partnership to address contemporary and future clinical challenges." -UiO,,UiO,University of Oslo,Academic institution,,,,,,,,,Norway,,,,"PharmacoEpidemiology and Drug Safety Research Group (PharmaSafe) is a research group within the Department of Pharmacy at the Faculty of Mathematics and Natural Sciences, UiO. The research group coordinates and performs studies of medications in pregnancy. First, PharmaSafe/UiO apply to the Regional Ethical Regional Committees for Medical and Health Research Ethics (REC)*. REC carries out an assessment as to whether research is undertaken in an acceptable manner. This entails the consideration of benefit versus risk for the participants and whether data protection is assured. UiOs Data Protection Officer performs the Data Protection Impact Assessment (DPIA). Upon approval from REC and the data protection officer at UiO, PharmaSafe/UiO applies to the administrator of each database for use of data files, and negotiates the terms and data transfer agreements. All data files are transferred from the different registries to UiO where it is uploaded to TSD, a secure platform for data storage and analysis (GDPR compliant). On TSD, the data files from the different registries are linked using the Norwegian national identity number. International researchers can access the data through TSD or sign a data transfer agreement with UiO and have data transferred abroad. There are some restrictions on the types of data that can be transferred abroad. The data themselves are free of charge, but costs accrue for administrative handling and file processing." -CHUT,,CHUT,Centre Hospitalier Universitaire de Toulouse,Academic institution,,,,,,,,,France,,,,"CHUT is a University Hospital in Touloue, in the region of Haute Garonne (France)" -SSI,,SSI,Statens Serum Institut,Research centre,,,,,,,,,Denmark,,,, -UKZN,,UKZN,University of KwaZulu-Natal,Academic institution,,,,,,,,,South Africa,,,, -KUL,,KUL,KU Leuven,Academic institution,,,,,,,,,Belgium,,,, -UPP,,UPP,Uppsala Universitet,Academic institution,,,,,,,,,Sweden,,,, -SIDIAP.I,,SIDIAP,Information System for Research in Primary Care,Research centre,,,,,,,,,Spain,,,, -FERR,,FERR,Università degli Studi di Ferrara – University of Ferrara,Academic institution,,,,,,,,,Italy,,,, -UM,,UM,University of Messina,Academic institution,,,,,,,,,Italy,,,,The pharmacoepidemiology group of the University of Messina uses Caserta healthcare claims databases available in-house. -ARS.TOSCANA,,ARS,Agenzia regionale di sanità della Toscana,Research centre,,,,,,,,,Italy,,,https://www.ars.toscana.it/,"ARS is an agency of the Tuscany Region, and acts as a technical and scientific consultant both to the regional government and to the Regional Council. The Tuscany Region transmits a copy of its healthcare administrative databases to ARS, which is entitled by regional law to use it for its institutional purposes, upon permission of a board representing the Regional Council. Ars also receives copy of the other regional data banks.Upon permission, ARS may request access to local data banks, for specific purposes (eg validation)" -MLT.I,,MLT,Malta Congenital Anomalies Registry Directorate for Health Information and Research,Research centre,,,,,,,,,Malta,,,, -UMCU,,UMCU,UMC Utrecht,Academic institution,,,,,,,,,Netherlands (the),,Researcher,https://www.umcutrecht.nl/nl, -USWAN,,USWAN,University of Swansea,Academic institution,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,, -IHD,,IHD,The European Institute for Innovation through Health Data,Research centre,,,,,,,,,,,,, -NP,,NP,Novartis Pharma AG,Pharmaceutical company,,,,,,,,,Switzerland,,,, -UCB,,UCB,UCB biopharma,Pharmaceutical company,,,,,,,,,,,,, -SAN,,SAN,Sanofi,Pharmaceutical company,,,,,,,,,France,,,, -TAK,,TAK,Takeda,Pharmaceutical company,,,,,,,,,Japan,,,, -BBMRI-ERIC,,BBMRI-ERIC,Biobanking and Biomolecular Resources Research Infrastructure – European Research Infrastructure Consortium,Not-for-profit,,,,,,,,,Austria,,,, -JORDIGOL,,JORDIGOL,Institut de Recerca en Atenció Primària Jordi Gol,Academic institution,,,,,,,,,Spain,,,, -UCPH,,UCPH,University of Copenhagen,Academic institution,,,,,,,,,Denmark,,,https://www.ku.dk/english/, -UB,,UB-BPE,"Université de Bordeaux, Bordeaux PharmacoEpi",Academic institution,,,,nicolas.thurin@u-bordeaux.fr,,,"146 rue Leo Saignat - Case 41 -33076 Bordeaux Cedex -France","Over the last 15 years, BPE has been developing its expertise in pharmacoepidemiology in many therapeutic areas, carrying out both field studies with ad-hoc data collection, and database studies relying on secondary data. BPE has an extensive experience in the use of the French Nationwide healthcare database (Système National des Données de Santé - SNDS) encompassing outpatients claims and hospital discharge summaries of the 67 million French people, to generate real world evidence around health technologies. The platform is used to conduct federated analyses with international partners.",France,,Researcher,http://www.bordeauxpharmacoepi.eu/en/,"BPE is a research platform of the Université de Bordeaux specialized in pharmacoepidemiology and real world evidence generation. -BPE is part of the French National Institute of Health and Medical Research (INSERM), is certified ISO 9001:v2015 for its pharmacoepidemiology research activities. The platform has been registered with ENCePP since ENCePP’s creation and is on the list of the EMA procurement procedure for drug safety (EMA/2012/08/C)." -DHL.I,,THL,Finnish Institute for Health and Welfare,Government agency,,,,maarit.leinonen@thl.fi,,,"Postal address: P.O. Box 30, FI-00271 Helsinki, Finland -Street address: Mannerheimintie 166, Helsinki",,Finland,,"Data originator,Researcher",https://thl.fi/en/web/thlfi-en,"THL is a Finnish expert agency that provides reliable information on health and welfare for decision-making and activities in the field. - -Utilization of health registry data for scientific research always requires approval from the register administrators. Finnish Social and Health Data Permit Authority Findata grants permits for the secondary use of social and health care data used in the ConcePTION." -OVGU,,OVGU,Otto von Guericke University Magdeburg,Academic institution,,,,,,,,,Germany,,,, -GSK,,GSK,GlaxoSmithKline,Pharmaceutical company,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,, -CNR-IFC,,CNR-IFC,CNR Tuscany,Research centre,,,,apier@ifc.cnr.it,,,,"CNR-IFC has a consolidate experience in designing epidemiological and health studies and performing the statistical analysis of multidimensional data. -As a member of EUROmediCAT and EUROmediSafe consortia and wider EUROCAT and ICBDSR networks is specialised in pregnancy related research.",Italy,,"Researcher,Surveillance",https://www.ifc.cnr.it/index.php/en/,"CNR-IFC is responsible in the Tuscany Region to perform research and surveillance activities by using data from the regional congenital anomalies registry. The Tuscany Region collects administrative and surveillance data bank on whole the Tuscan population; CNR-IFC is entitled to receive the records which are referred to children in the congenital anomaly registry, and link them to the congenital anomaly registry. Linkage is possible for children and for mothers." -FISABIO,,FISABIO,Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana,Research centre,,,,,,,"FISABIO / Avda. De Catalunya, 21/46020 Valencia, Spain",,Spain,,Researcher,http://fisabio.san.gva.es/,"The Foundation for the Promotion of Health and Biomedical Research of Valencian Region, FISABIO, is a non-profit scientific and healthcare entity, whose primary purpose is to encourage, to promote and to develop scientific and technical health and biomedical research in Valencian Region. -FISABIO provides service to more than 1,500 healthcare professionals within the Valencian network, who are specialists working in research projects and clinical trials managed by the Foundation. -Among FISABIO the main objectives are: -• To facilitate, promote, develop and execute research according to existing research plans in the Valencia Department of Health. -• To act as scientific and technical research and innovation driving agent, providing the necessary basis to promote interaction between research teams located in Universities, Hospitals, the Scientific Research Council and other similar institutions. -• To facilitate and promote the training of professionals and researchers within the Health field. -• To perform and promote all type of studies that generate knowledge in the field of health care and health in general. -• To Cooperate and develop healthcare activities -**FISABIO- Rare Diseases Research Unit aims to increase global understanding on the current situation and distribution of rare diseases and congenital anomalies, as well as their effects on the population, using epidemiological methods for analyzing studies’ design and implementation, in addition to spatial epidemiology techniques. Moreover, it is responsible for the population-based registry of congenital anomalies in the Valencian Region." -ULST,,ULST,University of Ulster,Academic institution,,,,,,,,,United Kingdom of Great Britain and Northern Ireland (the),,,, -UMCG,,UMCG,University Medical Center Groningen,Academic institution,,,,,,,,,Netherlands (the),,,,The University Medical Center Groningen (UMCG) is one of 8 university medical centers in the Netherlands. -LIPRE,,LIPRE,Leibniz Institute for Prevention Research and Epidemiology,Research centre,,,,,,,,,Germany,,,, -Test lead organisation 1,https://pid-leadorganisation1.org,ACRONYM FOR LEADORG1,Name for lead organisation 1,Regulatory Authority,other type of lead organisation,Test lead organisation institution,TLOI,molgenis-support@umcg.nl,,,"test lead organisation address line 1 -test lead organisation address line 2 -test lead organisation address line 3",test lead organisation expertise,Botswana,"Research interest,ENCePP center,Experience","Data originator,Data holder,Data provider,Researcher,Surveillance,Other",, -Test additional organisation 1,https://pid-testadditionalorg1.org,acronym for test additional organisation 1,name of test additional organisation 1,"Company,Pharmaceutical company,Non-Pharmaceutical company,SME",other type of additional organisation 1,Institution for additional organisation 1,acronym for institution for additional organisation 1,molgenis-support@umcg.nl,,,"test address for additional organisation line 1 -test address for additional organisation line 2 -test address for additional organisation line 3",test expertise of additional organisation,Canada,Experience,Surveillance,, -test lead organisation 2,https://pid-testleadorganisation2.org,acronym for test lead organisation 2,name for test lead organisation 2,EU Institution/Body/Agency,test other type of lead organisation,test lead organisation institution,acronym for test lead organisation institution,testemailforleadorg@testdomain.nl,,,"test address for lead org 2 line 1 -test address for lead org 2 line 2 -test address for lead org 2 line 3",test expertise for lead org 2,"""Bonaire, Sint Eustatius and Saba""","Research interest,ENCePP center,Experience",Data provider,, -id for test additional organisation 2,https://pid-testaddorg2.org,acronym for test additional organisation 2,name for test additional organisation 2,Research centre,test other type of additional organisation,test institution for additional organisation 2,acronym for institution for additional organisation 2,testemailaddorg@testdomain.nl,,,"test address for additional org 2 line 1 -test address for additional org 2 line 2 -test address for additional org 2 line 3",test expertise for additional org 2,Bosnia and Herzegovina,Experience,"Data provider,Surveillance",, -testresearchcentre,pidtestresearchcentre,acronym for test research centre,Test research centre,Research centre,,test institution for research centre,acronym for test institution for research centre,test@research.nl,,,"address line 1 -address line 2 -address line 3",test expertise for research centre,Argentina,"Research interest,ENCePP center,Experience","Data originator,Data provider",https://www.molgenis.org,test description for test research centre diff --git a/data/_demodata/applications/datacatalogue/Publications.csv b/data/_demodata/applications/datacatalogue/Publications.csv deleted file mode 100644 index 8c095699e4..0000000000 --- a/data/_demodata/applications/datacatalogue/Publications.csv +++ /dev/null @@ -1,173 +0,0 @@ -doi,title,authors,year,journal,volume,number,pagination,publisher,school,abstract -https://doi.org/10.5694/mja12.10698,Birth of a cohort--the first 20 years of the Raine study.,,,,,,,,, -https://doi.org/10.1007/s10654-006-9022-0,The Generation R Study: Design and cohort profile,,,,,,,,, -https://doi.org/10.1177/14034948010290040201,"The Danish National Birth Cohort - its background, structure and aim. Scandinavian Journal of Public Health.",,,,,,,,, -https://doi.org/10.1371/journal.pone.0209003,Cervical cancer screening in Sweden 2014-2016.,"""Hortlund, M."",""Elfström, K."",""Sparén, P"",""Almstedt, P."",""Strander, B."",""Dillner, J.""",2018,PLoS ONE,,13,,,, -https://doi.org/10.1002/ijc.32791,Effectiveness of AS04-adjuvanted human papillomavirus (HPV) type 16/18 vaccine in reducing oropharyngeal HPV infections in young females – results from a community-randomized tria,"Lehtinen M,Apter D,Eriksson T,Harjula K,Hokkanen M,Lehtinen T,Natunen K,Damaso S,Soila M,Bi D,Struyf F,"",""",2020,Int J Cancer,,,,,, -https://doi.org/10.1093/ije/dyz227,Cohort Profile: The French national cohort of children (ELFE): birth to 5 years.,,,,,,,,, -https://doi.org/10.1016/S1473-3099(20)30873-2,"Sustainability of neutralising antibodies induced by bivalent or quadrivalent HPV vaccines and correlation with efficacy: a combined follow-up analysis of data from two randomised, double-blind, multicentre, phase 3 trials.","Filipe Colaço Mariz,Penelope Gray,Noemi Bender,Tiina Eriksson,Hanna Kann,Dan Apter,Jorma Paavonen,Emma Pajunen,Kristina M Prager,Peter Sehr,Heljä-Marja Surcel,Tim Waterboer,Martin Müller,Michael Pawlita,Matti Lehti",2021,Lancet Inf. Disease,,,,,, -https://doi.org/10.1093/infdis/jiaa099,Vaccination With Moderate Coverage Eradicates Oncogenic Human Papillomaviruses If a Gender-Neutral Strategy Is Applied.,"Vänskä S,Luostarinen T,Baussano I,Apter D,Eriksson T,Natunen K,Nieminen P,Paavonen J,Pimenoff VN,Pukkala E,Söderlund-Strand A,Dubin G,Garnett G,Dillner J,Lehtinen",2020,JID,,,,,, -https://doi.org/10.1002/ijc.27586,Occurrence of vaccine and non-vaccine human papillomavirus types in adolescent Finnish females 4 years post-vaccination,"Palmroth J,Merikukka M,Paavonen J,Apter D,Eriksson T,Natunen K,Dubin G,Lehtinen M",2012,Int J Cancer,,,,,, -https://doi.org/10.1080/21645515.2016.1183847,Safety of the human papillomavirus (HPV)-16/18 AS04-adjuvanted vaccine in adolescents aged 12-15 years: Interim analysis of a large community-randomized controlled tria,"Lehtinen M,Eriksson T,Apter D,Hokkanen M,Natunen K,Paavonen J,Pukkala E,Angelo MG,Zima J,David MP,Datta S,Bi D,Struyf F,Dubin G",2016,Hum Vaccin Immunother,,,,,, -https://doi.org/10.1136/bmjopen-2017-015867,Ten-year follow-up of human papillomavirus vaccine efficacy against the most stringent cervical neoplasia end-point-registry-based follow-up of three cohorts from randomized trial,"Lehtinen M,Lagheden C,Luostarinen T,Eriksson T,Apter D,Harjula K,Kuortti M,Natunen K,Palmroth J,Petäjä T,Pukkala E,Siitari-Mattila M,Struyf F,Nieminen P,Paavonen J,Dubin G,Dillner",2017,BMJ Open,,,,,, -https://doi.org/10.1016/j.envpol.2021.117650,Pre- and early post-natal exposure to phthalates and DINCH in a new type of mother-child cohort relying on the collection of repeated urine samples,Philippat et el.,2021,,,,,,, -https://doi.org/10.1002/ijc.31618,Gender-neutral vaccination provides improved control of human papillomavirus types 18/31/33/35 through herd immunity: Results of a community randomized trial (III),"Lehtinen M,Luostarinen T,Vänskä S,Söderlund-Strand A,Eriksson T,Natunen K,Apter D,Baussano I,Harjula K,Hokkanen M,Kuortti M,Palmroth J,Petäjä T,Pukkala E,Rekonen S,Siitari-Mattila M,Surcel HM,Tuomivaara L,Paavonen J,Nieminen P,Dill",2018,Int J Cancer,,,,,, -https://doi.org/10.1002/cam4.1222,Cancer Registry follow-up for 17 million person-years of a nationwide maternity cohort,"Lehtinen M,Surcel HM,Natunen K,Pukkala E,Dillner J",2017,Cancer Med.,,,,,, -https://doi.org/10.1002/ijc.32802,Baseline findings and safety of infrequent vs. frequent screening of human papillomavirus vaccinated women,"Louvanto K,Eriksson T,Gray P,Apter D,Baussano I,Bly A,Harjula K,Heikkilä K,Hokkanen M,Huhtinen L,Ikonen M,Karttunen H,Nummela M,Söderlund-Strand A,Veivo U,Dillner J,Elfstöm M,Nieminen P,Lehtine",2020,Int J Cancer,,,,,, -https://doi.org/10.1093/ije/dyv151,EDEN mother-child cohort study group. Cohort Profile: The EDEN mother-child cohort on the prenatal and early postnatal determinants of child health and development.,,,,,,,,, -https://doi.org/10.1002/ijc.33169,Long-term follow-up of human papillomavirus type replacement among young pregnant Finnish females before and after a community-randomised HPV vaccination trial with moderate coverage,"Gray P,Kann H,Pimenoff VN,Adhikari I,Eriksson T,Surcel HM,Vänskä S,Dillner J,Faust H,Lehtinen",2020,Int J Cancer,,,,,, -https://doi.org/10.1258/095646206776253453,Population based enrolment of adolescent girls into long-term human papillomavirus vaccination trial.,"Lehtinen M,Idänpään-Heikkilä I,Lunnas T,Palmroth J,Barr E,Kuortti M,Cacciatore R,Isaksson R,Kekki M,Koskela P,Kosunen E,Lahti L,Liljamo T,Luostarinen T,Apter D,Pukkala E,Paavon",2006,Int J STD & AIDS,,,,,, -https://doi.org/10.1002/ijc.31281,Evaluation of HPV type-replacement in unvaccinated and vaccinated adolescent females-Post-hoc analysis of a community-randomized clinical trial (II).,"Gray P,Palmroth J,Luostarinen T,Apter D,Dubin G,Garnett G,Eriksson T,Natunen K,Merikukka M,Pimenoff V,Söderlund-Strand A,Vänskä S,Paavonen J,Pukkala E,Dillner J,Lehtinen",2018,Int J Cancer,,,,,, -https://doi.org/10.1371/journal.pmed.1003588,Human papillomavirus seroprevalence in pregnant women following gender-neutral and girls-only vaccination programs in Finland: A cross-sectional cohort analysis following a cluster randomized trial,"Gray P,Kann H,Pimenoff VN,Eriksson T,Luostarinen T,Vänskä S,Surcel HM,Faust H,Dillner J,Lehtinen",2021,PLoS Med,,,,,, -https://doi.org/10.1371/journal.pone.0072088,Impact of vaccination on 14 high-risk HPV type infections: a mathematical modelling approach,"Vänskä S,Auranen K,Leino T,Salo H,Nieminen P,Kilpi T,Tiihonen P,Apter D,Lehtinen",2013,Plos One,,,,,, -https://doi.org/10.1093/ije/dyr054,INMA Project. Cohort Profile: the INMA--INfancia y Medio Ambiente--(Environment and Childhood) Project.,,,,,,,,, -https://doi.org/10.1016/j.vaccine.2014.12.019,Characteristics of a cluster-randomized phase IV human papillomavirus vaccination effectiveness trial,"Lehtinen M,Apter D,Baussano I,Eriksson T,Natunen K,Paavonen J,Vänskä S,Bi D,David MP,Datta S,Struyf F,Jenkins D,Pukkala E,Garnett G,Dubin",2015,Vaccine,,,,,, -https://doi.org/10.1002/ijc.32189,Occurrence of human papillomavirus (HPV) type replacement by sexual risk-taking behaviour group: Post-hoc analysis of a community randomized clinical trial up to 9 years after vaccination (IV),"Gray P,Luostarinen T,Vänskä S,Eriksson T,Lagheden C,Man I,Palmroth J,Pimenoff VN,Söderlund-Strand A,Dillner J,Lehtine",2019,Int J Cancer,,,,,, -https://doi.org/10.1258/095646206778145550,"Enrolment of 22,000 adolescents to a population based HPV","""Lehtinen M,""",2006,Int J STD & AIDS,,,,,, -https://doi.org/10.1002/ijc.31119,Impact of gender-neutral or girls-only vaccination against HPV. Results of a community randomized trial (I),"""Lehtinen M,""",2018,Int J Cancer,,,,,, -https://doi.org/10.1097/EE9.0000000000000182,Human exposome assessment platform,"Trier Møller F,Clements MS,Kozlakidis Z,Pimenoff VN,Wilkowski B,Boeckhout M,Öhman H,Chong S,Holzinger A,Lehtinen M,van Veen EB,Bała P,Widschwendter M,Snyder MP,Dillner J,Merino Martinez R,Müller H,Negru S,Ormenisan A,Arroyo Mühr LS,Zh",2021,Environmental Epidemiology,,,,,, -https://doi.org/10.1093/ije/dys064,Cohort Profile: the 'children of the 90s'--the index offspring of the Avon Longitudinal Study of Parents and Children.,"Boyd A,Golding J,Macleod J,Lawlor DA,Fraser A,Henderson J,Molloy L,Ness A,Ring S,Davey Smith G.",2013,Int J Epidemiol.,42,1,111-27,,,"The Avon Longitudinal Study of Parents and Children (ALSPAC) is a transgenerational prospective observational study investigating influences on health and development across the life course. It considers multiple genetic, epigenetic, biological, psychological, social and other environmental exposures in relation to a similarly diverse range of health, social and developmental outcomes. Recruitment sought to enroll pregnant women in the Bristol area of the UK during 1990-92; this was extended to include additional children eligible using the original enrollment definition up to the age of 18 years. The children from 14541 pregnancies were recruited in 1990-92, increasing to 15247 pregnancies by the age of 18 years. This cohort profile describes the index children of these pregnancies. Follow-up includes 59 questionnaires (4 weeks-18 years of age) and 9 clinical assessment visits (7-17 years of age). The resource comprises a wide range of phenotypic and environmental measures in addition to biological samples, genetic (DNA on 11343 children, genome-wide data on 8365 children, complete genome sequencing on 2000 children) and epigenetic (methylation sampling on 1000 children) information and linkage to health and administrative records. Data access is described in this article and is currently set up as a supported access resource. To date, over 700 peer-reviewed articles have been published using ALSPAC data." -https://doi.org/10.1093/ije/dyw029,Cohort profile update: the Norwegian mother and child cohort study (MoBa).,"Magnus P,Birke C,Vejrup K,Haugan A,Alsaker E,Daltveit AK,Handal M,Haugen M,H iseth G,Knudsen GP,Paltiel L,Schreuder P,Tambs K,Vold",2016,Int J Epidemiol,45,2,"382,388",,, -https://doi.org/10.1093/ajcn/nqy356,Using metabolic profiling and gene expression analyses to explore molecular effects of replacing saturated fat with polyunsaturated fat-a randomized controlled dietary intervention study.,"""Ulven, Stine M et al""",2019,The American journal of clinical nutrition,109,5,"12,391,250",,, -https://doi.org/10.1016/j.numecd.2020.06.018,Associations between dietary patterns and gene expression pattern in peripheral blood mononuclear cells: A cross-sectional study.,"""Christensen, Jacob J et al.""",2020,"Nutrition, metabolism, and cardiovascular diseases : NMCD",30,11,"21,112,122",,, -https://doi.org/10.1016/j.ejso.2018.02.006,Testicular germ-cell tumours and penile squamous cell carcinoma: Appropriate management makes the difference,"""Nicolai N, Biasoni D, Catanzaro MA, Colecchia M, Trama A; RARECAREnet Working Group.""",2019,Eur J Surg Oncol.,45,1,60-66,,, -https://doi.org/10.2196/resprot.3873,Internet-Based Birth-Cohort Studies: Is This the Future for Epidemiology?,"Firestone R,Cheng S,Pearce N,Douwes J,Merletti F,Pizzi C,Pivetta E,Rusconi F,Richiardi L",2015,JMIR Research Protocols,,,,,,"Background: International collaborative cohorts the NINFEA and the ELF studies are mother-child cohorts that use the internet for recruitment and follow-up of their members. The cohorts investigated the association of early life exposures and a wide range of non-communicable diseases. - -Objective: The objective is to report the research methodology, with emphasis on the advantages and limitations offered by an Internet-based design. These studies were conducted in Turin, Italy and Wellington, New Zealand. - -Methods: The cohorts utilized various online/offline methods to recruit participants. Pregnant women who became aware volunteered, completed an online questionnaire, thus obtaining baseline information. - -Results: The NINFEA study has recruited 7003 pregnant women, while the ELF study has recruited 2197 women. The cohorts targeted the whole country, utilizing a range of support processes to reduce the attrition rate of the participants. For the NINFEA and ELF cohorts, online participants were predominantly older (35% and 28.9%, respectively), highly educated (55.6% and 84.9%, respectively), and were in their final trimester of pregnancy (48.5% and 53.6%, respectively). - -Conclusions: Internet-based cohort epidemiological studies are feasible, however, it is clear that participants are self-selective samples, as is the case for many birth cohorts. Internet-based cohort studies are potentially cost-effective and novel methodology for conducting long-term epidemiology research. However, from our experience, participants tend to be self-selective. In marked time, if the cohorts are to form part of a larger research program they require further use and exploration to address biases and overcome limitations." -https://doi.org/10.1007/s10654-009-9386-z,The Rotterdam Study: 2010 objectives and design update,"Albert Hofman,Monique M B Breteler,Cornelia M van Duijn,Harry L A Janssen,Gabriel P Krestin,Ernst J Kuipers,Bruno H Ch Stricker,Henning Tiemeier,Andr G Uitterlinden,Johannes R Vingerling,Jacquel",2009,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in close to a 1,000 research articles and reports (see www.epib.nl/rotterdamstudy). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." -https://doi.org/10.1111/j.1365-3016.2003.00521.x,"Growth, development and health from early fetal life until young adulthood: the Generation R Study","""Albert Hofman, Vincent W. V. Jaddoe, Johan P. Mackenbach, Henriette A. Moll, Rosalinde F. M. Snijders, Eric A. P. Steegers, Frank C. Verhulst, Jacqueline C. M. Witteman, Hans A. B""",2004,Pediatric and Perinatal Epidemiology,18,1,61-72,,, -https://doi.org/10.1093/ije/dyab109,Cohort Profile: 46 years of follow-up of the Northern Finland Birth Cohort 1966 (NFBC1966),"Tanja Nordstr m,Jouko Miettunen,Juha Auvinen,Leena Ala-Mursula,Sirkka Kein nen-Kiukaanniemi,Juha Veijola,Marjo-Riitta J",2021,International Journal of Epidemiology,,,,,, -https://doi.org/10.1371/journal.pone.0090352,"Effects of whole grain, fish and bilberries on serum metabolic profile and lipid transfer protein activities: a randomized trial (Sysdimet)","Maria Lankinen,Marjukka Kolehmainen,Tiina J skel inen,Jussi Paananen,Laura Joukamo,Antti J Kangas,Pasi Soininen,Kaisa Poutanen,Hannu Mykk nen,Helena Gylling,Matej Ore",2014,pLoS One,,,,,,"Objective: We studied the combined effects of wholegrain, fish and bilberries on serum metabolic profile and lipid transfer protein activities in subjects with the metabolic syndrome. - -Methods: Altogether 131 subjects (40-70 y, BMI 26-39 kg/m(2)) with impaired glucose metabolism and features of the metabolic syndrome were randomized into three groups with 12-week periods according to a parallel study design. They consumed either: a) wholegrain and low postprandial insulin response grain products, fatty fish 3 times a week, and bilberries 3 portions per day (HealthyDiet), b) wholegrain and low postprandial insulin response grain products (WGED), or c) refined wheat breads as cereal products (Control). Altogether 106 subjects completed the study. Serum metabolic profile was studied using an NMR-based platform providing information on lipoprotein subclasses and lipids as well as low-molecular-weight metabolites. - -Results: There were no significant differences in clinical characteristics between the groups at baseline or at the end of the intervention. Mixed model analyses revealed significant changes in lipid metabolites in the HealthyDiet group during the intervention compared to the Control group. All changes reflected increased polyunsaturation in plasma fatty acids, especially in n-3 PUFAs, while n-6 and n-7 fatty acids decreased. According to tertiles of changes in fish intake, a greater increase of fish intake was associated with increased concentration of large HDL particles, larger average diameter of HDL particles, and increased concentrations of large HDL lipid components, even though total levels of HDL cholesterol remained stable. - -Conclusions: The results suggest that consumption of diet rich in whole grain, bilberries and especially fatty fish causes changes in HDL particles shifting their subclass distribution toward larger particles. These changes may be related to known protective functions of HDL such as reverse cholesterol transport and could partly explain the known protective effects of fish consumption against atherosclerosis. - -Trial registration: The study was registered at ClinicalTrials.gov NCT00573781." -https://doi.org/10.3945/ajcn.113.064071,Lower protein content in infant formula reduces BMI and obesity risk at school age: follow-up of a randomized trial,"Martina Weber,Veit Grote,Ricardo Closa-Monasterolo,Joaqu n Escribano,Jean-Paul Langhendries,Elena Dain,Marcello Giovannini,Elvira Verduci,Dariusz Gruszfeld,Piotr Socha,B",2014,The American Journal of Clinical Nutrition,99,5,1041-1051,,,"Background: Early nutrition is recognized as a target for the effective prevention of childhood obesity. Protein intake was associated with more rapid weight gain during infancy a known risk factor for later obesity. - -Objective: We tested whether the reduction of protein in infant formula reduces body mass index (BMI; in kg/m2) and the prevalence of obesity at 6 y of age. - -Design: The Childhood Obesity Project was conducted as a European multicenter, double-blind, randomized clinical trial that enrolled healthy infants born between October 2002 and July 2004. Formula-fed infants (n = 1090) were randomly assigned to receive higher protein (HP) or lower protein (LP) content formula (within recommended amounts) in the first year of life; breastfed infants (n = 588) were enrolled as an observational reference group. We measured the weight and height of 448 (41%) formula-fed children at 6 y of age. BMI was the primary outcome. - -Results:; P = 0.009) at 6 y of age. The risk of becoming obese in the HP group was 2.43 (95% CI: 1.12, 5.27; P = 0.024) times that in the LP group. There was a tendency for a higher weight in HP children (0.67 kg; 95% CI: -0.04, 1.39 kg; P = 0.064) but no difference in height between the intervention groups. Anthropometric measurements were similar in the LP and breastfed groups. - -Conclusions: Infant formula with a lower protein content reduces BMI and obesity risk at school age. Avoidance of infant foods that provide excessive protein intakes could contribute to a reduction in childhood obesity. This trial was registered at clinicaltrials.gov as NCT00338689." -https://doi.org/10.1002/oby.22203,Effect of Lower Versus Higher Protein Content in Infant Formula Through the First Year on Body Composition from 1 to 6 Years: Follow-Up of a Randomized Clinical Trial,"Martina Totzauer,Veronica Luque,Joaquin Escribano,Ricardo Closa-Monasterolo,Elvira Verduci,Alice ReDionigi,Joana Hoyos,Jean-Paul Langhendries,Dariusz Gruszfeld,Piotr Socha,Berthold Koletzko,Veit Grote",2018,Obesity (Silver Spring),,,1203-1210,,,"Objective: The objective of this study was to investigate the effect of lower protein (LP) versus higher protein (HP) content in infant formula on body composition from 3 months to 6 years. - -Methods: In a multicenter, double-blind European trial, healthy infants (N = 1,090) were randomly assigned to different protein content formulas (upper [HP] and lower [LP] limits of the European Union regulations in 2001) during the first year; breastfed infants (N = 588) were recruited for reference values. Weight, height, and triceps and subscapular skinfold (SF) thickness were measured repeatedly (N = 650 at 6 years), and body composition was estimated (Slaughter). The 99th percentile of fat mass index reference data were used to assess excess body fat at 6 years. - -Results: At 2 and 6 years, the study observed greater sum of SFs ( 2 years: 0.5 mm, P = 0.026, 6 years: 0.6 mm, P = 0.045), fat mass index ( 2 years: 0.12 kg/m , P = 0.008, :7 kg/m , P = 0.003, 6 years: 0.18 kg/m , P = 0.010) in the HP group compared with the LP group. At 6 years, the HP group had a twofold higher risk than the LP group for excess body fat (adjusted odds ratio: 2.13, P = 0.019). - -Conclusions: Infant formula with HP levels induced greater fat mass in children from 2 to 6 years. Lowering the protein content of infant formula may result in a healthier body composition in early childhood. - -Tri" -https://doi.org/10.1016/j.envint.2020.105678,Exposure to phenols during pregnancy and the first year of life in a new type of couple-child cohort relying on repeated urine biospecimens,Rolland et al.,2020,,,,,,, -https://doi.org/10.1016/j.envint.2021.106697,Associations between a mixture of phenols and phthalates and child behaviour in a French mother-child cohort with repeated assessment of exposure,Guilbert et al.,2021,,,,,,, -https://doi.org/10.1289/ehp.1002775,Urinary Biomarkers of Prenatal Atrazine Exposure and Adverse Birth Outcomes in the PELAGIE Birth Cohort,Chevrier C et al.,2011,EHP,,,,,, -https://doi.org/10.14301/llcs.v4i2.221,"Design and characteristics of a new birth cohort, to study the early origins and ethnic variation of childhood obesity: the BiB1000 study","Bryant M,Santorelli G,Fairley L,West J,Lawlor DA,Bhopal R,Petherick E,Sahota P,Hill A,Cameron N,Small N,Wright J",2013,Longitudinal and Life Course Studies,4,2,119-135,Born in Bradford,,"Epidemiological evidence indicates that early life factors are important for obesity development but there are gaps in knowledge regarding the impact of exposures during pregnancy and early life, especially in South Asian children. There is a corresponding lack of evidence to guide development of culturally-appropriate, obesity prevention programmes. This paper describes the methodology and characteristics of participants in Born in Bradford 1000 (BiB1000), a nested cohort of the Born in Bradford prospective birth cohort. BiB1000 aims to enable a deep and extensive understanding of the predictors and influences of health-related behaviours to develop a culturally-specific obesity prevention intervention. 1,735 mothers agreed to take part in detailed assessments focused on risk factors of obesity. Of these, 1,707 had singleton births. Data were collected from the families during pregnancy, at birth and when the infant was aged 6, 12, 18, 24 and 36 months. Approximately half of the mothers (n=933) are of South Asian ethnicity; of which, just under half were born in the UK. Prevalence of obesity in BiB1000 is similar to the full BiB cohort and to UK national averages. In addition to pre-specified hypothesised targets for obesity prevention, (e.g. parental feeding styles, diet and activity), BiB1000 is exploring qualitative determinants of behaviours andother exposures with a lesser evidence base (e.g. food environments, sleep, parenting practices). These data will enable a rich understanding of the behaviours and their determinants in order to inform the development of a culturally-relevant, childhood obesity prevention intervention." -https://doi.org/10.1007/s10654-015-0082-x,The Rotterdam Study: 2016 objectives and design update,"Albert Hofman,Guy G O Brusselle,Sarwa Darwish Murad,Cornelia M van Duijn,Oscar H Franco,Andr Goedegebure,M Arfan Ikram,Caroline C W Klaver,Tamar E C Nijsten,Robin P Peeters,Bruno H Ch Stricker,Henning W Tiemeier,Andr",2015,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over 1200 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." -https://doi.org/10.1186/1471-2458-8-327,"Born in Bradford, a cohort study of babies born in Bradford, and their parents: protocol for the recruitment phase","Pauline Raynor,Born in Bradford Collaborative Group",2008,BMC Public Health,,,,,,"Background: Bradford, one of the most deprived cities in the United Kingdom, has a wide range of public health problems associated with socioeconomic deprivation, including an infant mortality rate almost double that for England and Wales. Infant mortality is highest for babies of Pakistani origin, who comprise almost half the babies born in Bradford. The Born in Bradford cohort study aims to examine environmental, psychological and genetic factors that impact on health and development perinatally, during childhood and subsequent adult life, and those that influence their parents' health and wellbeing. This protocol outlines methods for the recruitment phase of the study. - -Methods: Most Bradford women attend for antenatal care and give birth at the Bradford Royal Infirmary, which has approximately 5,800 births per year. Women are eligible for recruitment if they plan to give birth here. Babies born from March 2007 are eligible to participate, recruitment is planned to continue until 2010. Fathers of babies recruited are invited to participate. Women are usually recruited when they attend for a routine oral glucose tolerance test at 26-28 weeks gestation. Recruitment of babies is at birth. Fathers are recruited whenever possible during the antenatal period, or soon after the birth. The aim is to recruit 10,000 women, their babies, and the babies' fathers. At recruitment women have blood samples taken, are interviewed to complete a semi-structured questionnaire, weighed, and have height, arm circumference and triceps skinfold measured. Umbilical cord blood is collected at birth. Within two weeks of birth babies have their head, arm and abdominal circumference measured, along with subscapular and triceps skinfold thickness. Fathers self-complete a questionnaire at recruitment, have height and weight measured, and provide a saliva sample. Participants are allocated a unique study number. NHS numbers will be used to facilitate record linkage and access to routine data. A wide range of hospital and community sources is being accessed to provide data for the women and children. Data are checked for accuracy and consistency. - -Conclusion: Born in Bradford will increase understanding of the factors that contribute to health and wellbeing, and identify factors that influence differences in them between people of Pakistani and European origin." -https://doi.org/10.1136/bmjopen-2013-003167,The developmental origins of ageing: study protocol for the Dutch famine birth cohort study on ageing,"Susanne R de Rooij,Tessa J Roseboom",2013,BMJ Open,,,,,,"Introduction Evidence from animal studies suggest that the rate of ageing may be influenced not only by genetic and lifestyle factors, but also by the prenatal environment. We have previously shown that people who were exposed to famine during early gestation performed worse on a selective attention task, which may be a first sign of cognitive decline, and were on average 3 years younger at the time of coronary artery disease diagnosis. Women in this group seem to die at a younger age. We hypothesise that an accelerated ageing process, set in motion by the poor prenatal environment, underlies these findings. - -Methods and analysis The Dutch Famine Birth Cohort consists of 2414 men and women born in Amsterdam as term singletons around the time of the Dutch famine. In a subsample of 150 cohort members, who now are about 68 years of age, we are currently measuring cognitive decline and the incidence of white matter hyperintensities and cerebral microbleeds (throand physical performance, visual acuity and incidence of cataract operations. In this same subgroup, we will assess telomere length, oxidative stress and inflammatory status as potential underlying mechanisms. Furthermore, in the entire cohort, we will assess mortality as well as hospital admissions for age-related diseases up to the age of 68 years. - -Ethics and dissemination The study was approved by the local medical ethics committee (Academic Medical Centre, University of Amsterdam) and is being carried out in agreement with the Declaration of Helsinki. All participants give written informed consent. Study findings will be widely disseminated to the scientific public as well as to the medical society and general public." -https://doi.org/10.1093/ajcn/nqy394,Decreased plasma serotonin and other metabolite changes in healthy adults after consumption of wholegrain rye: an untargeted metabolomics study,"Pekka Keski-Rahkonen,Marjukka Kolehmainen,Jenni Lappi,Valerie Micard,Jenna Jokkala,Natalia Rosa-Sibakov,Jussi Pihlajam ki,Pirkka V Kirjavainen,Hannu Mykk nen,Kaisa Poutanen,""Marc J Gunter,""",2019,The American journal of clinical nutrition,6,,1630-1639,,,"Background: Wholegrain consumption has been associated with beneficial health effects including reduction of diabetes and cancer risk; however, the underlying mechanisms are not fully understood. - -Objective: The aim of this study was to characterize the effects of wholegrain rye intake on circulating metabolites in a human intervention study using untargeted metabolomics. - -Methods: The intervention consisted of 2 successive 4-wk periods in a randomized crossover design, where 15 adults consumed wholegrain rye bread (WGR) or white wheat bread enriched with fermented rye bran (WW+RB), following a 4-wk rye-free period with white wheat bread (WW). Fasting plasma samples were collected at the end of each period and analyzed using liquid chromatography-mass spectrometry. Metabolic profiles were compared to identify compounds discriminating WGR from the WW+RB and WW periods. Because peripheral serotonin is produced mainly in the gut, a hypothesis of its altered biosynthesis as a response to increased cereal fiber intake was tested by measuring intestinal serotonin of mice fed for 9 wk on a high-fat diet supplemented with different sources of fiber (rye bran flour, ground wheat aleurone, or powdered cellulose). - -Results: Five endogenous metabolites and 15 rye phytochemicals associated with WGR intake were identified. Plasma concentrations of serotonin, taurine, and glycerophosphocholine were significantly lower after the WGR than WW period (Q < 0.05). Concentrations of 2 phosphatidylethanolamine plasmalogens, PE(18:2/P-18:0) and PE(18:2/P-16:0), were lower after the WGR period than the WW+RB period (Q < 0.05). The concentration of serotonin was significantly lower in the colonic tissue of mice that consumed rye bran or wheat aleurone compared with cellulose (P < 0.001). - -Conclusions: Wholegrain rye intake decreases plasma serotonin in healthy adults when compared with refined wheat. Intake of rye bran and wheat aleurone decreases colonic serotonin in mice. These results suggest that peripheral serotonin could be a potential link between wholegrain consumption and its associated health effects.Data used in the study were derived from a trial registered at www.clinicaltrials.gov as NCT03550365. - -Keywords: 5-HT; alkylresorcinol; dietary intervention; glycerophosphocholine; metabolomics; plasmalogen; rye; serotonin; taurine; wholegrain." -https://doi.org/10.1093/ije/dys066,Cohort Profile: the Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort,"Abigail Fraser,Corrie Macdonald-Wallis,Kate Tilling,Andy Boyd,Jean Golding,George Davey Smith,John Henderson,John Macleod,Lynn Molloy,Andy Ness,Susan Ring,Scott M Nelson,Debbie A Lawlor",2013,International journal of epidemiology,,,,,,"Summary The Avon Longitudinal Study of Children and Parents (ALSPAC) was established to understand how genetic and environmental characteristics influence health and development in parents and children. All pregnant women resident in a defined area in the South West of England, with an expected date of delivery between 1st April 1991 and 31st December 1992, were eligible and 13761 women (contributing 13867 pregnancies) were recruited. These women have been followed over the last 19-22 years and have completed up to 20 questionnaires, have had detailed data abstracted from their medical records and have information on any cancer diagnoses and deaths through record linkage. A follow-up assessment was completed 17-18 years postnatal at which anthropometry, blood pressure, fat, lean and bone mass and carotid intima media thickness were assessed, and a fasting blood sample taken. The second follow-up clinic, which additionally measures cognitive function, physical capability, physical activity (with accelerometer) and wrist bone architecture, is underway and two further assessments with similar measurements will take place over the next 5 years. There is a detailed biobank that includes DNA, with genome-wide data available on >10000, stored serum and plasma taken repeatedly since pregnancy and other samples; a wide range of data on completed biospecimen assays are available. Details of how to access these data are provided in this cohort profile." -https://doi.org/10.1007/s00394-020-02438-3,Post-weight loss changes in fasting appetite- and energy balance-related hormone concentrations and the effect of the macronutrient content of a weight maintenance diet: a randomised controlled trial,"Mari Näätänen,Marjukka Kolehmainen,David E. Laaksonen,Karl-Heinz Herzig,Kaisa Pouta",2021,European Journal of Nutrition,,,,,,"Purpose -We investigated the effects of the macronutrient composition of diets with differing satiety values on fasting appetite-related hormone concentrations after weight loss and examined whether the hormone secretion adapted to changes in body fat mass (FM) and fat-free mass (FFM) during the weight maintenance period (WM)." -https://doi.org/10.1371/journal.pone.0022646,"Whole grain products, fish and bilberries alter glucose and lipid metabolism in a randomized, controlled trial: the Sysdimet study","Maria Lankinen,Ursula Schwab,Marjukka Kolehmainen,Jussi Paananen,Kaisa Poutanen,Hannu Mykk nen,Tuulikki Sepp nen-Laakso,Helena Gylli",2011,,,,,,,"Background: Due to the growing prevalence of type 2 diabetes, new dietary solutions are needed to help improve glucose and lipid metabolism in persons at high risk of developing the disease. Herein we investigated the effects of low-insulin-response grain products, fatty fish, and berries on glucose metabolism and plasma lipidomic profiles in persons with impaired glucose metabolism. - -Methodology/principal findings: Altogether 106 men and women with impaired glucose metabolism and with at least two other features of the metabolic syndrome were included in a 12-week parallel dietary intervention. The participants were randomized into three diet intervention groups: (1) whole grain and low postprandial insulin response grain products, fatty fish three times a week, and bilberries three portions per day (HealthyDiet group), (2) Whole grain enriched diet (WGED) group, which includes principally the same grain products as group (1), but with no change in fish or berry consumption, and (3) refined wheat breads (Control). Oral glucose tolerance, plasma fatty acids and lipidomic profiles were measured before and after the intervention. Self-reported compliance with the diets was good and the body weight remained constant. Within the HealthyDiet group two hour glucose concentration and area-under-the-curve for glucose decreased and plasma proportion of (n-3) long-chain PUFAs increased (False Discovery Rate p-values <0.05). Increases in eicosapentaenoic acid and docosahexaenoic acid associated curvilinearly with the improved insulin secretion and glucose disposal. Among the 364 characterized lipids, 25 changed significantly in the HealthyDiet group, including multiple triglycerides incorporating the long chain (n-3) PUFA. - -Conclusions/significance: The results suggest that the diet rich in whole grain and low insulin response grain products, bilberries, and fatty fish improve glucose metabolism and alter the lipidomic profile. Therefore, such a diet may have a beneficial effect in the efforts to prevent type 2 diabetes in high risk persons. - -Trial registration: ClinicalTrials.gov NCT00573781." -https://doi.org/10.1007/BF00145007,Determinants of disease and disability in the elderly: the Rotterdam Elderly Study,"A Hofman,D E Grobbee,P T de Jong,F A van den Ouweland",1991,European Journal of epidemiology,,,,,,"In this paper the Rotterdam Elderly Study is presented. The aim of the study is to investigate determinants of disease occurrence and progression in the elderly. In addition to contributing to our understanding of the etiology of geriatric illnesses, the study is expected to lead to specific recommendations for intervention. The study focuses on causally related determinants of major diseases in the elderly. Fields of interest for the Rotterdam Elderly Study are conditions which interfere the most with the quality of life for the elderly. The aims of the Rotterdam Elderly Study are: (1) To investigate, by means of epidemiologic, clinical and basic research, the determinants of diseases in order to assess their etiologic significance. (2) To investigate potentially modifiable determinants in order to be able to develop preventive strategies by providing specific recommendations for intervention studies. The Rotterdam Elderly Study focuses on four primary areas of research: neurogeriatric diseases, cardiovascular diseases, locomotor diseases and ophthalmologic diseases. It is a prospective follow-up study, in which determinants of disease and determinants of progression of disease will be investigated in the total population of 55 years or over of the district of Ommoord in Rotterdam. It is anticipated that about 10,000 people will participate in the study and they will be examined in the period of 1991 to 1995." -https://doi.org/10.1007/s10654-008-9309-4,The Generation R Study: design and cohort update until the age of 4 years,"""Vincent W. V. Jaddoe, Cornelia M. van Duijn, Albert J. van der Heijden, Johan P. Mackenbach, Henri tte A. Moll, Eric A. P. Steegers, Henning Tiemeier, Andre G. Uitterlinden, Frank C. Verhulst""",2008,European Journal of Epidemiology volume,23,,,,, -https://doi.org/10.1007/s10654-007-9199-x,The Rotterdam Study: objectives and design update,"Albert Hofman,Monique M B Breteler,Cornelia M van Duijn,Gabriel P Krestin,Huibert A Pols,Bruno H Ch Stricker,Henning Tiemeier,Andr G Uitterlinden,Johannes R Vingerling,Jacquel",,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in the Netherlands. The study targets cardiovascular, neurological, ophthalmological and endocrine diseases. As of 2008 about 15,000 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in some 600 research articles and reports (see http://www.epib.nl/rotterdamstudy). This article gives the reasons for the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." -https://doi.org/10.1007/s10654-011-9610-5,The Rotterdam Study: 2012 objectives and design update,"Albert Hofman,Cornelia M van Duijn,Oscar H Franco,M Arfan Ikram,Harry L A Janssen,Caroline C W Klaver,Ernst J Kuipers,Tamar E C Nijsten,Bruno H Ch Stricker,Henning Tiemeier,Andr G Uitterlinden,Meike W Vernooij,Jacquel",2011,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, oncological, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over a 1,000 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." -https://doi.org/10.1007/s10654-013-9866-z,The Rotterdam Study: 2014 objectives and design update,"Albert Hofman,Sarwa Darwish Murad,Cornelia M van Duijn,Oscar H Franco,Andr Goedegebure,M Arfan Ikram,Caroline C W Klaver,Tamar E C Nijsten,Robin P Peeters,Bruno H Ch Stricker,Henning W Tiemeier,Andr",2013,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, oncological, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over a 1,000 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." -https://doi.org/10.1007/s00125-011-2285-3,"A diet high in fatty fish, bilberries and wholegrain products improves markers of endothelial function and inflammation in individuals with impaired glucose metabolism in a randomised controlled trial: The Sysdimet study.",,,,,,,,, -https://doi.org/10.1007/s10654-017-0321-4,"The Rotterdam Study: 2018 update on objectives, design and main results","M Arfan Ikram,Guy G O Brusselle,Sarwa Darwish Murad,Cornelia M van Duijn,Oscar H Franco,Andr Goedegebure,Caroline C W Klaver,Tamar E C Nijsten,Robin P Peeters,Bruno H Stricker,Henning Tiemeier,Andr G Uitterlinde",2017,European Journal of epidemiology,,,,,,"The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. Since 2016, the cohort is being expanded by persons aged 40 years and over. The findings of the Rotterdam Study have been presented in over 1500 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods." -https://doi.org/10.1186/1476-069X-12-102,"Maternal fish and shellfish consumption and wheeze, eczema and food allergy at age two: a prospective cohort study in Brittany, France",Pelé F,2013,Environ Health,,,,,, -https://doi.org/10.1016/j.envint.2015.05.009,Pyrethroid insecticide exposure and cognitive developmental disabilities in children: The PELAGIE mother,Viel et al.,2015,Environ Int,,,,,, -https://doi.org/10.1007/s10654-012-9735-1,The Generation R Study: design and cohort update 2012,"""Vincent W. V. Jaddoe, Cornelia M. van Duijn, Oscar H. Franco, Albert J. van der Heijden, Marinus H. van IIzendoorn, Johan C. de Jongste, Aad van der Lugt, Johan P. Mackenbach, Henri tte A. Moll, Hein Raat, Fernando Rivadeneira, Eric A. P.""",2012,European Journal of Epidemiology,27,,739-756,,, -https://doi.org/10.1111/j.1365-3016.1997.tb00007.x,Ecological and individual predictors of birthweight in a northern Finland birth cohort 1986,"M R Järvelin,P Elliott,I Kleinschmidt,M Martuzzi,C Grundy,A L Hartikainen,P Ranta",1997,Paediatric and perinatal epidemiology,,,,,,"This multilevel study of spatial variability in, and determinants of, birthweight was conducted using individual and ecological data in a geographically defined prospective birth cohort for 1986 in northern Finland. The study area comprises three large areas defined by latitude: Northern Lapland (NL), Southern Lapland (SL) and Oulu province (OP), comprising 74 localities with a total study population of 9216 singleton births. The mean birthweight was 3482 g for NL, 3537 g for SL and 3587 g for OP (NL vs. OP and SL vs. OP: P < 0.05). The crude rate for stillbirths was highest in NL. The women in the northernmost area were socially less privileged and the localities less prosperous compared with those in the southernmost area. Significant spatial clustering of mean birthweights was found (P = 0.0016), with highest birthweight in the south-western part of the study area. A variable expressing the wealth of each locality, the financial capacity category (FCC), had its lowest mean value in NL, with a range of one to six for the localities studied here. A multilevel multiple regression model showed that, after allowing for sex, gestational age, mother's age, height and hypertensive disorders, parity, body mass index, previous low birthweight child and smoking as individual determinants of birthweight, part of the residual variation could be explained by the locality wealth parameter. Using the multilevel model, the differences in mean birthweight across the three latitude areas persisted but were reduced (difference OP vs. NL reduced from 105 g to 86.5 g). The relationship between birthweight and FCC was inverse U-shaped with the highest mean birthweight estimated for localities occurring in the middle of the range (FCC = 3). The wealthiest urban localities (FCC = 6) and the most deprived localities (FCC = 1) both had a predicted birthweight about 60 g below the maximum at FCC = 3, if all other factors were held constant. This result, taken together with the spatial clustering of birthweights, suggests that there may be important social and environmental determinants of birthweight that have yet to be identified." -https://doi.org/10.1111/j.1471-0528.1993.tb12971.x,Labour induction policy in hospitals of different levels of specialisation,"M R Järvelin,A L Hartikainen-Sorri,P Ranta",1993,British journal of obstetrics and gynaecology,,,,,,"Objective: To examine indications for the induction of labour and variations in the current policy of induction at different levels of obstetric specialisation and to compare the outcome of induced and spontaneous labour. - -Design: A prospective 1 year birth cohort. - -Setting: Maternity hospitals in the two northernmost administrative provinces of Finland, including one university hospital and three central hospitals, three local hospitals and five health centres. - -Subjects: Eight thousand six hundred and six singleton pregnancies, including 1679 with induced labour. - -Main outcome measure: Data collection on age, parity, social factors and education at antenatal clinic. Data on labour collected from the hospital records after delivery. - -Results: Labour was induced significantly more often at units of the lowest level of specialisation, the health centres (29.4%) than at the local hospitals (23.6%, P < 0.003) or in the most specialised central hospitals (17.7%, P < 0.0001). Cases of induced labour accumulated on working days. Indicative reasons, such as maternal or fetal conditions, comprised 45.0% of the indications for induction, the most common causes being elective reasons, e.g. timing of labour (51.3%). The risk of elective induction was 2.6 times greater at the primary care level than at the central hospitals (95% confidence limit, CL 2.0-3.2). The corresponding risk ratio for local hospitals was 1.8 (CL 1.5-2.1). The risk of caesarean section was 1.5 times greater in the elective induction group than in the spontaneous group (CL 1.1-1.9) and 2.9 times greater in the indicative induction group. The most common indication for caesarean section was dysfunctional, arrested labour, causes such as fetal asphyxia or antenatal haemorrhage were not seen in excess. - -Conclusion: The practice of induction of labour are not consistent in different hospitals. The opinions of individual practitioners and staff routines influence the induction policy nearly as much as do medical reasons. Despite the safety of induction, a liberal induction policy leads to an increase in operative deliveries creating potential risks for the mother and child and greater expense." -https://doi.org/10.1007/s10654-014-9980-6,The Generation R Study: Biobank update 2015,"""Claudia J. Kruithof, Marjolein N. Kooijman, Cornelia M. van Duijn, Oscar H. Franco, Johan C. de Jongste, Caroline C. W. Klaver, Johan P. Mackenbach, Henri tte A. Moll, Hein Raat, Edmond H. H. M. Rings, Fernando Rivadeneira, Eric A. P. Stee""",2014,European Journal of Epidemiology,29,,911-927,,, -https://doi.org/10.1016/j.numecd.2016.05.005,Dietary quality indices in relation to cardiometabolic risk among Finnish children aged 6-8 years - The PANIC study,"A M Eloranta,U Schwab,T Ven l inen,S Kiiskinen,H M Lakka",2016,"Nutrition, metabolism, and cardiovascular diseases : NMCD",,,,,,"Background and aims: There are no studies on the relationships of dietary quality indices to the clustering of cardiometabolic risk factors in children. We therefore investigated the associations of four dietary quality indices with cardiometabolic risk score and cardiometabolic risk factors in Finnish children. - -Methods and results: Subjects were a population sample of 204 boys and 198 girls aged 6-8 years. We assessed diet by 4-day food records and calculated Dietary Approaches to Stop Hypertension (DASH) Score, Baltic Sea Diet Score (BSDS), Mediterranean Diet Score (MDS), and Finnish Children Healthy Eating Index (FCHEI). We calculated the age- and sex-adjusted cardiometabolic risk score summing up Z-scores for waist circumference, mean of systolic and diastolic blood pressure and concentrations of fasting serum insulin and fasting plasma glucose, triglycerides and HDL cholesterol, the last multiplying by -1. Higher FCHEI was associated with lower cardiometabolic risk score among boys (standardised regression coefficient = -0.14, P = 0.044) adjusted for age, physical activity, electronic media time and household income. Higher DASH Score was related to a lower serum insulin in boys ( = -0.15, P = 0.028). Higher DASH Score ( = -0.16, P = 0.023) and FCHEI ( = -0.17, P = 0.014) were related to lower triglyceride concentration in boys. Higher FCHEI was associated with lower triglyceride concentration in girls ( = -0.16, P = 0.033). Higher DASH Score ( = -0.19, P = 0.011) and BSDS ( = -0.23, P = 0.001) were associated with lower plasma HDL cholesterol concentration in girls. - -Conclusion: Higher FCHEI was associated with lower cardiometabolic risk among boys, whereas DASH Score, BSDS or MDS were not associate" -https://doi.org/10.3390/ijerph16203888,Deciphering the Impact of Early-Life Exposures to Highly Variable Environmental Factors on Foetal and Child Health: Design of SEPAGES Couple-Child Cohort,"""Lyon-Caen S, Siroux V, Lepeule J, et al.""",2019,International Journal of Environmental Research and Public Health,16,,,,, -https://doi.org/10.1136/bmjopen-2020-042078,Cohort profile: the Dutch famine birth cohort (DFBC)—a prospective birth cohort study in the,,,,,,,,, -https://doi.org/10.1007/s10654-010-9516-7,The Generation R Study: design and cohort update 2010,,2010,European Journal of Epidemiology,25,,,,, -https://doi.org/10.1007/s10654-015-0096-4,"The French CONSTANCES population-based cohort: design, inclusion and follow-up.",,,,,,,,, -https://doi.org/10.1093/ije/dyl170,Cohort profile: the Norwegian Mother and Child Cohort Study (MoBa).,,,,,,,,, -https://doi.org/10.1007/s10654-016-0224-9,The Generation R Study: design and cohort update 2017,"""Marjolein N. Kooijman, Claudia J. Kruithof, Cornelia M. van Duijn, Liesbeth Duijts, Oscar H. Franco, Marinus H. van IJzendoorn, Johan C. de Jongste, Caroline C. W. Klaver, Aad van der Lugt, Johan P. Mackenbach, Henri tte A. Moll, Robin P.""",2016,European Journal of Epidemiology,31,,1243-1264,,, -https://doi.org/10.3945/ajcn.2008.27091,Lower protein in infant formula is associated with lower weight up to age 2 y: a randomized clinical trial.,,,,,,,,, -https://doi.org/10.1093/ije/dys112,Cohort Profile: the Born in Bradford multi-ethnic family cohort study.,,,,,,,,, -https://doi.org/10.1017/S0007114516003445,"Exchanging a few commercial, regularly consumed food items with improved fat quality reduces total cholesterol and LDL-cholesterol: a double-blind, randomised controlled trial.",,,,,,,,, -https://doi.org/10.1007/s10654-007-9194-2,Feasibility of recruiting a birth cohort through the Internet: the experience of the NINFEA cohort.,,,,,,,,, -https://doi.org/10.1093/ije/dyw269,Cohort Profile: The ENVIRonmental influence ON early AGEing (ENVIRONAGE): a birth cohort study.,,,,,,,,, -https://doi.org/10.1186/1475-2891-13-104,Postprandial glucose metabolism and SCFA after consuming wholegrain rye bread and wheat bread enriched with bioprocessed rye bran in individuals with mild gastrointestinal symptoms.,,,,,,,,, -https://doi.org/10.1093/ije/dyi202,Cohort profile: the Southampton women's survey.,,,,,,,,, -https://doi.org/10.1016/j.ejso.2017.08.018,Epidemiology of rare cancers and inequalities in oncologic outcomes,"""Gatta G, Trama A, Capocaccia R; RARECARENet Working Group""",2019,Eur J Surg Oncol.,45,1,3-11,,, -https://doi.org/10.1007/s10654-020-00640-5,"Objectives, design and main findings until 2020 from the Rotterdam Study.",,,,,,,,, -https://doi.org/0.1016/S0140-6736(17)33326-3,Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 count,"""Allemani C, Matsuda T, Di Carlo V, Harewood R, Matz M, Nikšić M, Bonaventure A, Valkov M, Johnson CJ, Estève J, Ogunbiyi"",""Azevedo E Silva G, Chen WQ, Eser S, Engholm G, Stiller CA, Monnereau A, Woods RR, Visser O, Lim GH, Aitken J, Weir HK, Coleman MP; CONCORD Working Group.""",2018,lancet,391,10125,1023-1075,,, -https://doi.org/10.1007/s10654-007-9209-z,The Generation R Study Biobank: a resource for epidemiological studies in children and their parents,"""Vincent W. V. Jaddoe, Rachel Bakker, Cock M. van Duijn, Albert J. van der Heijden, Jan Lindemans, Johan P. Mackenbach, Henri tte A. Moll, Eric A. P. Steegers, Henning Tiemeier, Andre G. Uitterlinden, Frank C. Verhulst""",2007,European Journal of Epidemiology,22,,917-923,,, -https://doi.org/10.1186/s12889-019-7222-2,Growing up in Bradford: protocol for the age 7 11 follow up of the Born,"Philippa K Bird,Rosemary R. C. McEachan,Mark Mon-Williams,Neil Small,Jane West,Peter Whincup,John Wright,Elizabeth Andrews,Sally E Barber,Liam J B Hill,Laura Lennon,Dan Mason,Katy A Shire,Dagmar Waiblinger,Amanda H. Waterman,Deborah A. Lawlor,Kate E. Pickett",2019,BMC Public Health,19,,,Born in Bradford,,"Background -Born in Bradford (BiB) is a prospective multi-ethnic pregnancy and birth cohort study that was established to examine determinants of health and development during childhood and, subsequently, adult life in a deprived multi-ethnic population in the north of England. Between 2007 and 2010, the BiB cohort recruited 12,453 women who experienced 13,776 pregnancies and 13,858 births, along with 3353 of their partners. Forty five percent of the cohort are of Pakistani origin. Now that children are at primary school, the first full follow-up of the cohort is taking place. The aims of the follow-up are to investigate the determinants of children s pre-pubertal health and development, including through understanding parents health and wellbeing, and to obtain data on exposures in childhood that might influence future health. - -Methods -We are employing a multi-method approach across three data collection arms (community-based family visits, school based phy motor function and wellbeing measures) to follow-up over 9000 BiB children aged 7 11 years and their families between 2017 and 2021. We are collecting detailed parent and child questionnaires, cognitive and sensorimotor assessments, blood pressure, anthropometry and blood samples from parents and children. Dual x-ray absorptiometry body scans, accelerometry and urine samples are collected on subsamples. Informed consent is collected for continued routine data linkage to health, social care and education records. A range of engagement activities are being used to raise the profile of BiB and to disseminate findings. - -Discussion -Our multi-method approach to recruitment and assessment provides an efficient method of collecting rich data on all family members. Data collected will enhance BiB as a resource for the international research community to study the interplay between ethnicity, socioeconomic circumstances and biology in relation to cardiometabolic healorimotor development and wellbeing." -https://doi.org/10.1007/s10654-013-9768-0,Pediatric population-based neuroimaging and the Generation R Study: the intersection of developmental neuroscience and epidemiology,"""Tonya White, Hanan El Marroun, Ilse Nijs, Marcus Schmidt, Aad van der Lugt, Piotr A. Wielopolki, Vincent W. V. Jaddoe, Albert Hofman, Gabriel P. Krestin, Henning Tiemeier & Frank C. Verhulst""",2013,European Journal of Epidemiology volume,28,,99-111,,, -https://doi.org/10.1155/2012/274068,Psychobehavioural Factors Are More Strongly Associated with Successful Weight Management Than Predetermined SatietyEffect or Other Characteristics of Diet.,,,,,,,,, -http://urn.fi/urn:nbn:fi:att:bc1e5408-980e-4a62-b899-43bec3755243,Northern Finland Birth Cohort 1966,,,,,,,,, -https://doi.org/10.1007/s00125-020-05250-0,A 2 year physical activity and dietary intervention attenuates the increase in insulin resistance in a general population of children: the PANIC study.,,,,,,,,, -https://doi.org/10.1093/ije/dyq128,Cohort profile: the Amsterdam born children and their development (ABCD) study.,,,,,,,,, -http://urn.fi/urn:nbn:fi:att:f5c10eef-3d25-4bd0-beb8-f2d59df95b8e,Northern Finland Birth Cohort 1986,,,,,,,,, -https://doi.org/10.1093/ije/dyx084,"Cohort Profile: The Mother-Child Cohort in Crete, Greece (Rhea Study).",,,,,,,,, -https://doi.org/10.1186/s12891-023-07077-3,test publication 1,,,,,,,,, -https://doi.org/10.2337/dc21-2662,test publication 2,,,,,,,,, -https://doi.org/10.1186/s12916-023-02769-y,test publication 3,,,,,,,,, diff --git a/data/_demodata/applications/datacatalogue/Quantitative information.csv b/data/_demodata/applications/datacatalogue/Quantitative information.csv deleted file mode 100644 index d276924190..0000000000 --- a/data/_demodata/applications/datacatalogue/Quantitative information.csv +++ /dev/null @@ -1 +0,0 @@ -resource,age group,population size,active size,no individuals with samples,mean observation years,mean years active,median age,proportion female \ No newline at end of file diff --git a/data/_demodata/applications/datacatalogue/Repeated variables.csv b/data/_demodata/applications/datacatalogue/Repeated variables.csv deleted file mode 100644 index d0a77cf443..0000000000 --- a/data/_demodata/applications/datacatalogue/Repeated variables.csv +++ /dev/null @@ -1,2774 +0,0 @@ -resource,dataset,name,label,collection event.resource,collection event.name,since version,until version,is repeat of.dataset,is repeat of.name -PELAGIE,harmonized,ADHD_INSTR_14,,,,1.0.0,,harmonized,adhd_instr_1 -PELAGIE,harmonized,aggr_eval_2,,,,1.0.0,,harmonized,aggr_eval_1 -PELAGIE,harmonized,AGGR_EVAL_2,,,,1.0.0,,harmonized,aggr_eval_1 -PELAGIE,harmonized,ADHD_EVAL_11,,,,1.0.0,,harmonized,adhd_eval_1 -PELAGIE,harmonized,adhd_instr_2,,,,1.0.0,,harmonized,adhd_instr_1 -PELAGIE,harmonized,ADHD_INSTR_2,,,,1.0.0,,harmonized,adhd_instr_1 -ATHLETE_CDM,outcome_ath,att_age_6,,,,,,outcome_ath,att_age_0 -PELAGIE,harmonized,INT_EVAL_8,,,,1.0.0,,harmonized,int_eval_1 -ATHLETE_CDM,outcome_ath,aggr_avg_5,,,,,,outcome_ath,aggr_avg_0 -LifeCycle_CDM,outcome,sbp_1,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_14,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_146,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_147,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_148,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_149,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_15,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_150,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_151,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_152,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_153,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_154,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_155,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_156,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_157,,,,1.0.0,,outcome,sbp_0 -LifeCycle_CDM,outcome,sbp_158,,,,1.0.0,,outcome,sbp_0 -PELAGIE,harmonized,int_eval_8,,,,1.0.0,,harmonized,int_eval_1 -ATHLETE_CDM,outcome_ath,aggr_avg_6,,,,,,outcome_ath,aggr_avg_0 -ATHLETE_CDM,outcome_ath,aggr_avg_7,,,,,,outcome_ath,aggr_avg_0 -LifeCycle_CDM,outcome,int_eval_3,,,,1.0.0,,outcome,int_eval_0 -PELAGIE,harmonized,int_eval_3,,,,1.0.0,,harmonized,int_eval_1 -PELAGIE,harmonized,INT_EVAL_3,,,,1.0.0,,harmonized,int_eval_1 -LifeCycle_CDM,outcome,int_eval_5,,,,1.0.0,,outcome,int_eval_0 -PELAGIE,harmonized,int_eval_5,,,,1.0.0,,harmonized,int_eval_1 -PELAGIE,harmonized,INT_EVAL_5,,,,1.0.0,,harmonized,int_eval_1 -LifeCycle_CDM,outcome,int_eval_6,,,,1.0.0,,outcome,int_eval_0 -PELAGIE,harmonized,int_eval_6,,,,1.0.0,,harmonized,int_eval_1 -PELAGIE,harmonized,INT_EVAL_6,,,,1.0.0,,harmonized,int_eval_1 -LifeCycle_CDM,outcome,int_eval_7,,,,1.0.0,,outcome,int_eval_0 -PELAGIE,harmonized,int_eval_7,,,,1.0.0,,harmonized,int_eval_1 -PELAGIE,harmonized,INT_EVAL_7,,,,1.0.0,,harmonized,int_eval_1 -LifeCycle_CDM,outcome,int_eval_8,,,,1.0.0,,outcome,int_eval_0 -LifeCycle_CDM,outcome,int_instr_1,,,,1.0.0,,outcome,int_instr_0 -LifeCycle_CDM,outcome,int_instr_11,,,,1.0.0,,outcome,int_instr_0 -PELAGIE,harmonized,INT_INSTR_11,,,,1.0.0,,harmonized,int_instr_1 -LifeCycle_CDM,outcome,int_instr_12,,,,1.0.0,,outcome,int_instr_0 -PELAGIE,harmonized,int_instr_12,,,,1.0.0,,harmonized,int_instr_1 -PELAGIE,harmonized,INT_INSTR_12,,,,1.0.0,,harmonized,int_instr_1 -LifeCycle_CDM,outcome,int_instr_13,,,,1.0.0,,outcome,int_instr_0 -PELAGIE,harmonized,int_instr_13,,,,1.0.0,,harmonized,int_instr_1 -PELAGIE,harmonized,INT_INSTR_13,,,,1.0.0,,harmonized,int_instr_1 -LifeCycle_CDM,outcome,int_instr_14,,,,1.0.0,,outcome,int_instr_0 -PELAGIE,harmonized,int_instr_14,,,,1.0.0,,harmonized,int_instr_1 -PELAGIE,harmonized,INT_INSTR_14,,,,1.0.0,,harmonized,int_instr_1 -LifeCycle_CDM,outcome,int_instr_2,,,,1.0.0,,outcome,int_instr_0 -PELAGIE,harmonized,int_instr_2,,,,1.0.0,,harmonized,int_instr_1 -PELAGIE,harmonized,INT_INSTR_2,,,,1.0.0,,harmonized,int_instr_1 -LifeCycle_CDM,outcome,int_instr_3,,,,1.0.0,,outcome,int_instr_0 -PELAGIE,harmonized,int_instr_3,,,,1.0.0,,harmonized,int_instr_1 -PELAGIE,harmonized,INT_INSTR_3,,,,1.0.0,,harmonized,int_instr_1 -LifeCycle_CDM,outcome,int_instr_5,,,,1.0.0,,outcome,int_instr_0 -PELAGIE,harmonized,int_instr_5,,,,1.0.0,,harmonized,int_instr_1 -PELAGIE,harmonized,INT_INSTR_5,,,,1.0.0,,harmonized,int_instr_1 -LifeCycle_CDM,outcome,int_instr_6,,,,1.0.0,,outcome,int_instr_0 -PELAGIE,harmonized,int_instr_6,,,,1.0.0,,harmonized,int_instr_1 -PELAGIE,harmonized,INT_INSTR_6,,,,1.0.0,,harmonized,int_instr_1 -LifeCycle_CDM,outcome,int_instr_7,,,,1.0.0,,outcome,int_instr_0 -PELAGIE,harmonized,int_instr_7,,,,1.0.0,,harmonized,int_instr_1 -PELAGIE,harmonized,INT_INSTR_7,,,,1.0.0,,harmonized,int_instr_1 -LifeCycle_CDM,outcome,int_instr_8,,,,1.0.0,,outcome,int_instr_0 -PELAGIE,harmonized,int_instr_8,,,,1.0.0,,harmonized,int_instr_1 -PELAGIE,harmonized,INT_INSTR_8,,,,1.0.0,,harmonized,int_instr_1 -LifeCycle_CDM,outcome,int_pc_1,,,,1.0.0,,outcome,int_pc_0 -LifeCycle_CDM,outcome,int_pc_12,,,,1.0.0,,outcome,int_pc_0 -LifeCycle_CDM,outcome,int_pc_13,,,,1.0.0,,outcome,int_pc_0 -LifeCycle_CDM,outcome,int_pc_2,,,,1.0.0,,outcome,int_pc_0 -LifeCycle_CDM,outcome,int_pc_5,,,,1.0.0,,outcome,int_pc_0 -LifeCycle_CDM,outcome,int_pc_6,,,,1.0.0,,outcome,int_pc_0 -LifeCycle_CDM,outcome,int_pc_7,,,,1.0.0,,outcome,int_pc_0 -LifeCycle_CDM,outcome,int_pro_1,,,,1.0.0,,outcome,int_pro_0 -LifeCycle_CDM,outcome,int_pro_11,,,,1.0.0,,outcome,int_pro_0 -LifeCycle_CDM,outcome,int_pro_12,,,,1.0.0,,outcome,int_pro_0 -LifeCycle_CDM,outcome,int_pro_13,,,,1.0.0,,outcome,int_pro_0 -LifeCycle_CDM,outcome,int_pro_14,,,,1.0.0,,outcome,int_pro_0 -LifeCycle_CDM,outcome,int_pro_2,,,,1.0.0,,outcome,int_pro_0 -LifeCycle_CDM,outcome,int_pro_3,,,,1.0.0,,outcome,int_pro_0 -LifeCycle_CDM,outcome,int_pro_5,,,,1.0.0,,outcome,int_pro_0 -LifeCycle_CDM,outcome,int_pro_6,,,,1.0.0,,outcome,int_pro_0 -LifeCycle_CDM,outcome,int_pro_7,,,,1.0.0,,outcome,int_pro_0 -LifeCycle_CDM,outcome,int_pro_8,,,,1.0.0,,outcome,int_pro_0 -LifeCycle_CDM,outcome,int_raw_1,,,,1.0.0,,outcome,int_raw_0 -LifeCycle_CDM,outcome,int_raw_11,,,,1.0.0,,outcome,int_raw_0 -LifeCycle_CDM,outcome,int_raw_12,,,,1.0.0,,outcome,int_raw_0 -LifeCycle_CDM,outcome,int_raw_13,,,,1.0.0,,outcome,int_raw_0 -ATHLETE_CDM,outcome_ath,aggr_avg_8,,,,,,outcome_ath,aggr_avg_0 -ATHLETE_CDM,outcome_ath,abd_circum_sdsWHO_t3,,,,,,outcome_ath,abd_circum_sdsWHO_t2 -ATHLETE_CDM,outcome_ath,abd_circum_sdsWHOEUR_t3,,,,,,outcome_ath,abd_circum_sdsWHOEUR_t2 -LifeCycle_CDM,outcome,adhd_age_11,,,,1.0.0,,outcome,adhd_age_0 -LifeCycle_CDM,outcome,adhd_age_1,,,,1.0.0,,outcome,adhd_age_0 -LifeCycle_CDM,outcome,adhd_age_12,,,,1.0.0,,outcome,adhd_age_0 -LifeCycle_CDM,outcome,adhd_age_13,,,,1.0.0,,outcome,adhd_age_0 -LifeCycle_CDM,outcome,adhd_age_14,,,,1.0.0,,outcome,adhd_age_0 -LifeCycle_CDM,outcome,adhd_age_2,,,,1.0.0,,outcome,adhd_age_0 -LifeCycle_CDM,outcome,adhd_age_3,,,,1.0.0,,outcome,adhd_age_0 -LifeCycle_CDM,outcome,adhd_age_5,,,,1.0.0,,outcome,adhd_age_0 -LifeCycle_CDM,outcome,adhd_age_6,,,,1.0.0,,outcome,adhd_age_0 -PELAGIE,pelagie_q2,B45,,,,1.0.0,,pelagie_q2,B21 -LifeCycle_CDM,outcome,adhd_age_7,,,,1.0.0,,outcome,adhd_age_0 -LifeCycle_CDM,outcome,adhd_age_8,,,,1.0.0,,outcome,adhd_age_0 -LifeCycle_CDM,outcome,adhd_avg_1,,,,1.0.0,,outcome,adhd_avg_0 -LifeCycle_CDM,outcome,adhd_avg_11,,,,1.0.0,,outcome,adhd_avg_0 -LifeCycle_CDM,outcome,adhd_avg_12,,,,1.0.0,,outcome,adhd_avg_0 -LifeCycle_CDM,outcome,adhd_avg_13,,,,1.0.0,,outcome,adhd_avg_0 -LifeCycle_CDM,outcome,adhd_avg_14,,,,1.0.0,,outcome,adhd_avg_0 -LifeCycle_CDM,outcome,adhd_avg_2,,,,1.0.0,,outcome,adhd_avg_0 -LifeCycle_CDM,outcome,adhd_avg_3,,,,1.0.0,,outcome,adhd_avg_0 -LifeCycle_CDM,outcome,adhd_avg_5,,,,1.0.0,,outcome,adhd_avg_0 -LifeCycle_CDM,outcome,adhd_avg_6,,,,1.0.0,,outcome,adhd_avg_0 -LifeCycle_CDM,outcome,adhd_avg_7,,,,1.0.0,,outcome,adhd_avg_0 -LifeCycle_CDM,outcome,adhd_avg_8,,,,1.0.0,,outcome,adhd_avg_0 -LifeCycle_CDM,outcome,adhd_eval_1,,,,1.0.0,,outcome,adhd_eval_0 -LifeCycle_CDM,outcome,adhd_eval_11,,,,1.0.0,,outcome,adhd_eval_0 -LifeCycle_CDM,outcome,adhd_eval_12,,,,1.0.0,,outcome,adhd_eval_0 -PELAGIE,harmonized,adhd_eval_12,,,,1.0.0,,harmonized,adhd_eval_1 -PELAGIE,harmonized,ADHD_EVAL_12,,,,1.0.0,,harmonized,adhd_eval_1 -LifeCycle_CDM,outcome,adhd_eval_13,,,,1.0.0,,outcome,adhd_eval_0 -PELAGIE,harmonized,adhd_eval_13,,,,1.0.0,,harmonized,adhd_eval_1 -PELAGIE,harmonized,ADHD_EVAL_13,,,,1.0.0,,harmonized,adhd_eval_1 -LifeCycle_CDM,outcome,adhd_eval_14,,,,1.0.0,,outcome,adhd_eval_0 -PELAGIE,harmonized,adhd_eval_14,,,,1.0.0,,harmonized,adhd_eval_1 -PELAGIE,harmonized,ADHD_EVAL_14,,,,1.0.0,,harmonized,adhd_eval_1 -LifeCycle_CDM,outcome,adhd_eval_2,,,,1.0.0,,outcome,adhd_eval_0 -PELAGIE,harmonized,adhd_eval_2,,,,1.0.0,,harmonized,adhd_eval_1 -PELAGIE,harmonized,ADHD_EVAL_2,,,,1.0.0,,harmonized,adhd_eval_1 -LifeCycle_CDM,outcome,adhd_eval_3,,,,1.0.0,,outcome,adhd_eval_0 -PELAGIE,harmonized,adhd_eval_3,,,,1.0.0,,harmonized,adhd_eval_1 -PELAGIE,harmonized,ADHD_EVAL_3,,,,1.0.0,,harmonized,adhd_eval_1 -LifeCycle_CDM,outcome,adhd_eval_5,,,,1.0.0,,outcome,adhd_eval_0 -PELAGIE,harmonized,adhd_eval_5,,,,1.0.0,,harmonized,adhd_eval_1 -PELAGIE,harmonized,ADHD_EVAL_5,,,,1.0.0,,harmonized,adhd_eval_1 -LifeCycle_CDM,outcome,adhd_eval_6,,,,1.0.0,,outcome,adhd_eval_0 -PELAGIE,harmonized,adhd_eval_6,,,,1.0.0,,harmonized,adhd_eval_1 -PELAGIE,harmonized,ADHD_EVAL_6,,,,1.0.0,,harmonized,adhd_eval_1 -LifeCycle_CDM,outcome,adhd_eval_7,,,,1.0.0,,outcome,adhd_eval_0 -PELAGIE,harmonized,adhd_eval_7,,,,1.0.0,,harmonized,adhd_eval_1 -PELAGIE,harmonized,ADHD_EVAL_7,,,,1.0.0,,harmonized,adhd_eval_1 -LifeCycle_CDM,outcome,adhd_eval_8,,,,1.0.0,,outcome,adhd_eval_0 -PELAGIE,harmonized,adhd_eval_8,,,,1.0.0,,harmonized,adhd_eval_1 -PELAGIE,harmonized,ADHD_EVAL_8,,,,1.0.0,,harmonized,adhd_eval_1 -LifeCycle_CDM,outcome,adhd_instr_1,,,,1.0.0,,outcome,adhd_instr_0 -LifeCycle_CDM,outcome,adhd_instr_11,,,,1.0.0,,outcome,adhd_instr_0 -PELAGIE,harmonized,ADHD_INSTR_11,,,,1.0.0,,harmonized,adhd_instr_1 -LifeCycle_CDM,outcome,adhd_instr_12,,,,1.0.0,,outcome,adhd_instr_0 -PELAGIE,harmonized,adhd_instr_12,,,,1.0.0,,harmonized,adhd_instr_1 -PELAGIE,harmonized,ADHD_INSTR_12,,,,1.0.0,,harmonized,adhd_instr_1 -LifeCycle_CDM,outcome,adhd_instr_13,,,,1.0.0,,outcome,adhd_instr_0 -PELAGIE,harmonized,adhd_instr_13,,,,1.0.0,,harmonized,adhd_instr_1 -PELAGIE,harmonized,ADHD_INSTR_13,,,,1.0.0,,harmonized,adhd_instr_1 -LifeCycle_CDM,outcome,adhd_instr_14,,,,1.0.0,,outcome,adhd_instr_0 -PELAGIE,harmonized,adhd_instr_14,,,,1.0.0,,harmonized,adhd_instr_1 -LifeCycle_CDM,outcome,adhd_instr_2,,,,1.0.0,,outcome,adhd_instr_0 -LifeCycle_CDM,outcome,adhd_instr_3,,,,1.0.0,,outcome,adhd_instr_0 -PELAGIE,harmonized,adhd_instr_3,,,,1.0.0,,harmonized,adhd_instr_1 -PELAGIE,harmonized,ADHD_INSTR_3,,,,1.0.0,,harmonized,adhd_instr_1 -LifeCycle_CDM,outcome,adhd_instr_5,,,,1.0.0,,outcome,adhd_instr_0 -PELAGIE,harmonized,adhd_instr_5,,,,1.0.0,,harmonized,adhd_instr_1 -PELAGIE,harmonized,ADHD_INSTR_5,,,,1.0.0,,harmonized,adhd_instr_1 -LifeCycle_CDM,outcome,adhd_instr_6,,,,1.0.0,,outcome,adhd_instr_0 -PELAGIE,harmonized,adhd_instr_6,,,,1.0.0,,harmonized,adhd_instr_1 -PELAGIE,harmonized,ADHD_INSTR_6,,,,1.0.0,,harmonized,adhd_instr_1 -LifeCycle_CDM,core,cohab_3,,,,1.0.0,,core,cohab_0 -LifeCycle_CDM,outcome,adhd_instr_7,,,,1.0.0,,outcome,adhd_instr_0 -PELAGIE,harmonized,adhd_instr_7,,,,1.0.0,,harmonized,adhd_instr_1 -PELAGIE,harmonized,ADHD_INSTR_7,,,,1.0.0,,harmonized,adhd_instr_1 -LifeCycle_CDM,outcome,adhd_instr_8,,,,1.0.0,,outcome,adhd_instr_0 -PELAGIE,harmonized,adhd_instr_8,,,,1.0.0,,harmonized,adhd_instr_1 -PELAGIE,harmonized,ADHD_INSTR_8,,,,1.0.0,,harmonized,adhd_instr_1 -LifeCycle_CDM,outcome,adhd_pc_1,,,,1.0.0,,outcome,adhd_pc_0 -LifeCycle_CDM,outcome,adhd_pc_12,,,,1.0.0,,outcome,adhd_pc_0 -LifeCycle_CDM,outcome,adhd_pc_13,,,,1.0.0,,outcome,adhd_pc_0 -LifeCycle_CDM,outcome,adhd_pc_2,,,,1.0.0,,outcome,adhd_pc_0 -LifeCycle_CDM,outcome,adhd_pc_5,,,,1.0.0,,outcome,adhd_pc_0 -LifeCycle_CDM,outcome,adhd_pc_6,,,,1.0.0,,outcome,adhd_pc_0 -LifeCycle_CDM,outcome,adhd_pc_7,,,,1.0.0,,outcome,adhd_pc_0 -LifeCycle_CDM,outcome,adhd_pro_1,,,,1.0.0,,outcome,adhd_pro_0 -LifeCycle_CDM,outcome,adhd_pro_11,,,,1.0.0,,outcome,adhd_pro_0 -LifeCycle_CDM,outcome,adhd_pro_12,,,,1.0.0,,outcome,adhd_pro_0 -LifeCycle_CDM,outcome,adhd_pro_13,,,,1.0.0,,outcome,adhd_pro_0 -LifeCycle_CDM,outcome,adhd_pro_14,,,,1.0.0,,outcome,adhd_pro_0 -LifeCycle_CDM,outcome,adhd_pro_2,,,,1.0.0,,outcome,adhd_pro_0 -LifeCycle_CDM,outcome,adhd_pro_3,,,,1.0.0,,outcome,adhd_pro_0 -LifeCycle_CDM,outcome,adhd_pro_5,,,,1.0.0,,outcome,adhd_pro_0 -LifeCycle_CDM,outcome,adhd_pro_6,,,,1.0.0,,outcome,adhd_pro_0 -LifeCycle_CDM,outcome,adhd_pro_7,,,,1.0.0,,outcome,adhd_pro_0 -LifeCycle_CDM,outcome,adhd_pro_8,,,,1.0.0,,outcome,adhd_pro_0 -LifeCycle_CDM,outcome,adhd_raw_1,,,,1.0.0,,outcome,adhd_raw_0 -LifeCycle_CDM,outcome,adhd_raw_11,,,,1.0.0,,outcome,adhd_raw_0 -LifeCycle_CDM,outcome,adhd_raw_12,,,,1.0.0,,outcome,adhd_raw_0 -LifeCycle_CDM,outcome,adhd_raw_13,,,,1.0.0,,outcome,adhd_raw_0 -PELAGIE,pelagie_q2,b45,,,,1.0.0,,pelagie_q2,b21 -LifeCycle_CDM,outcome,adhd_raw_14,,,,1.0.0,,outcome,adhd_raw_0 -PELAGIE,harmonized,AGGR_INSTR_7,,,,1.0.0,,harmonized,aggr_instr_1 -LifeCycle_CDM,outcome,adhd_raw_2,,,,1.0.0,,outcome,adhd_raw_0 -LifeCycle_CDM,outcome,adhd_raw_3,,,,1.0.0,,outcome,adhd_raw_0 -LifeCycle_CDM,outcome,adhd_raw_5,,,,1.0.0,,outcome,adhd_raw_0 -LifeCycle_CDM,outcome,adhd_raw_6,,,,1.0.0,,outcome,adhd_raw_0 -LifeCycle_CDM,outcome,adhd_raw_7,,,,1.0.0,,outcome,adhd_raw_0 -PELAGIE,pelagie_q2,b41,,,,1.0.0,,pelagie_q2,b21 -LifeCycle_CDM,outcome,adhd_raw_8,,,,1.0.0,,outcome,adhd_raw_0 -ATHLETE_CDM,outcome_ath,aggr_age_11,,,,,,outcome_ath,aggr_age_0 -ATHLETE_CDM,outcome_ath,aggr_age_1,,,,,,outcome_ath,aggr_age_0 -ATHLETE_CDM,outcome_ath,aggr_age_12,,,,,,outcome_ath,aggr_age_0 -ATHLETE_CDM,outcome_ath,aggr_age_13,,,,,,outcome_ath,aggr_age_0 -ATHLETE_CDM,outcome_ath,aggr_age_14,,,,,,outcome_ath,aggr_age_0 -ATHLETE_CDM,outcome_ath,aggr_age_2,,,,,,outcome_ath,aggr_age_0 -ATHLETE_CDM,outcome_ath,aggr_age_3,,,,,,outcome_ath,aggr_age_0 -ATHLETE_CDM,outcome_ath,aggr_age_5,,,,,,outcome_ath,aggr_age_0 -ATHLETE_CDM,outcome_ath,aggr_age_6,,,,,,outcome_ath,aggr_age_0 -ATHLETE_CDM,outcome_ath,aggr_age_7,,,,,,outcome_ath,aggr_age_0 -ATHLETE_CDM,outcome_ath,aggr_age_8,,,,,,outcome_ath,aggr_age_0 -ATHLETE_CDM,outcome_ath,aggr_avg_1,,,,,,outcome_ath,aggr_avg_0 -ATHLETE_CDM,outcome_ath,aggr_avg_11,,,,,,outcome_ath,aggr_avg_0 -ATHLETE_CDM,outcome_ath,aggr_avg_12,,,,,,outcome_ath,aggr_avg_0 -ATHLETE_CDM,outcome_ath,aggr_avg_13,,,,,,outcome_ath,aggr_avg_0 -ATHLETE_CDM,outcome_ath,aggr_avg_14,,,,,,outcome_ath,aggr_avg_0 -ATHLETE_CDM,outcome_ath,aggr_avg_2,,,,,,outcome_ath,aggr_avg_0 -ATHLETE_CDM,outcome_ath,aggr_avg_3,,,,,,outcome_ath,aggr_avg_0 -ATHLETE_CDM,outcome_ath,aggr_eval_1,,,,,,outcome_ath,aggr_eval_0 -ATHLETE_CDM,outcome_ath,aggr_eval_11,,,,,,outcome_ath,aggr_eval_0 -PELAGIE,harmonized,AGGR_EVAL_11,,,,1.0.0,,harmonized,aggr_eval_1 -ATHLETE_CDM,outcome_ath,aggr_eval_12,,,,,,outcome_ath,aggr_eval_0 -PELAGIE,harmonized,aggr_eval_12,,,,1.0.0,,harmonized,aggr_eval_1 -PELAGIE,harmonized,AGGR_EVAL_12,,,,1.0.0,,harmonized,aggr_eval_1 -ATHLETE_CDM,outcome_ath,aggr_eval_13,,,,,,outcome_ath,aggr_eval_0 -PELAGIE,harmonized,aggr_eval_13,,,,1.0.0,,harmonized,aggr_eval_1 -PELAGIE,harmonized,AGGR_EVAL_13,,,,1.0.0,,harmonized,aggr_eval_1 -ATHLETE_CDM,outcome_ath,aggr_eval_14,,,,,,outcome_ath,aggr_eval_0 -PELAGIE,harmonized,aggr_eval_14,,,,1.0.0,,harmonized,aggr_eval_1 -PELAGIE,harmonized,AGGR_EVAL_14,,,,1.0.0,,harmonized,aggr_eval_1 -ATHLETE_CDM,outcome_ath,aggr_eval_2,,,,,,outcome_ath,aggr_eval_0 -ATHLETE_CDM,outcome_ath,aggr_eval_3,,,,,,outcome_ath,aggr_eval_0 -PELAGIE,harmonized,aggr_eval_3,,,,1.0.0,,harmonized,aggr_eval_1 -PELAGIE,harmonized,AGGR_EVAL_3,,,,1.0.0,,harmonized,aggr_eval_1 -ATHLETE_CDM,outcome_ath,aggr_eval_5,,,,,,outcome_ath,aggr_eval_0 -PELAGIE,harmonized,aggr_eval_5,,,,1.0.0,,harmonized,aggr_eval_1 -PELAGIE,harmonized,AGGR_EVAL_5,,,,1.0.0,,harmonized,aggr_eval_1 -ATHLETE_CDM,outcome_ath,aggr_eval_6,,,,,,outcome_ath,aggr_eval_0 -PELAGIE,harmonized,aggr_eval_6,,,,1.0.0,,harmonized,aggr_eval_1 -PELAGIE,harmonized,AGGR_EVAL_6,,,,1.0.0,,harmonized,aggr_eval_1 -ATHLETE_CDM,outcome_ath,aggr_eval_7,,,,,,outcome_ath,aggr_eval_0 -PELAGIE,harmonized,aggr_eval_7,,,,1.0.0,,harmonized,aggr_eval_1 -PELAGIE,harmonized,AGGR_EVAL_7,,,,1.0.0,,harmonized,aggr_eval_1 -ATHLETE_CDM,outcome_ath,aggr_eval_8,,,,,,outcome_ath,aggr_eval_0 -PELAGIE,harmonized,aggr_eval_8,,,,1.0.0,,harmonized,aggr_eval_1 -PELAGIE,harmonized,AGGR_EVAL_8,,,,1.0.0,,harmonized,aggr_eval_1 -ATHLETE_CDM,outcome_ath,aggr_instr_1,,,,,,outcome_ath,aggr_instr_0 -ATHLETE_CDM,outcome_ath,aggr_instr_11,,,,,,outcome_ath,aggr_instr_0 -PELAGIE,harmonized,AGGR_INSTR_11,,,,1.0.0,,harmonized,aggr_instr_1 -ATHLETE_CDM,outcome_ath,aggr_instr_12,,,,,,outcome_ath,aggr_instr_0 -PELAGIE,harmonized,aggr_instr_12,,,,1.0.0,,harmonized,aggr_instr_1 -PELAGIE,harmonized,AGGR_INSTR_12,,,,1.0.0,,harmonized,aggr_instr_1 -ATHLETE_CDM,outcome_ath,aggr_instr_13,,,,,,outcome_ath,aggr_instr_0 -PELAGIE,harmonized,aggr_instr_13,,,,1.0.0,,harmonized,aggr_instr_1 -PELAGIE,harmonized,AGGR_INSTR_13,,,,1.0.0,,harmonized,aggr_instr_1 -ATHLETE_CDM,outcome_ath,aggr_instr_14,,,,,,outcome_ath,aggr_instr_0 -PELAGIE,harmonized,aggr_instr_14,,,,1.0.0,,harmonized,aggr_instr_1 -PELAGIE,harmonized,AGGR_INSTR_14,,,,1.0.0,,harmonized,aggr_instr_1 -ATHLETE_CDM,outcome_ath,aggr_instr_2,,,,,,outcome_ath,aggr_instr_0 -PELAGIE,harmonized,aggr_instr_2,,,,1.0.0,,harmonized,aggr_instr_1 -PELAGIE,harmonized,AGGR_INSTR_2,,,,1.0.0,,harmonized,aggr_instr_1 -ATHLETE_CDM,outcome_ath,aggr_instr_3,,,,,,outcome_ath,aggr_instr_0 -PELAGIE,harmonized,aggr_instr_3,,,,1.0.0,,harmonized,aggr_instr_1 -PELAGIE,harmonized,AGGR_INSTR_3,,,,1.0.0,,harmonized,aggr_instr_1 -ATHLETE_CDM,outcome_ath,aggr_instr_5,,,,,,outcome_ath,aggr_instr_0 -PELAGIE,harmonized,aggr_instr_5,,,,1.0.0,,harmonized,aggr_instr_1 -PELAGIE,harmonized,AGGR_INSTR_5,,,,1.0.0,,harmonized,aggr_instr_1 -ATHLETE_CDM,outcome_ath,aggr_instr_6,,,,,,outcome_ath,aggr_instr_0 -PELAGIE,harmonized,aggr_instr_6,,,,1.0.0,,harmonized,aggr_instr_1 -PELAGIE,harmonized,AGGR_INSTR_6,,,,1.0.0,,harmonized,aggr_instr_1 -ATHLETE_CDM,outcome_ath,aggr_instr_7,,,,,,outcome_ath,aggr_instr_0 -PELAGIE,harmonized,aggr_instr_7,,,,1.0.0,,harmonized,aggr_instr_1 -ATHLETE_CDM,outcome_ath,aggr_instr_8,,,,,,outcome_ath,aggr_instr_0 -PELAGIE,harmonized,aggr_instr_8,,,,1.0.0,,harmonized,aggr_instr_1 -PELAGIE,harmonized,AGGR_INSTR_8,,,,1.0.0,,harmonized,aggr_instr_1 -ATHLETE_CDM,outcome_ath,aggr_pc_1,,,,,,outcome_ath,aggr_pc_0 -ATHLETE_CDM,outcome_ath,aggr_pc_12,,,,,,outcome_ath,aggr_pc_0 -ATHLETE_CDM,outcome_ath,aggr_pc_13,,,,,,outcome_ath,aggr_pc_0 -ATHLETE_CDM,outcome_ath,aggr_pc_2,,,,,,outcome_ath,aggr_pc_0 -ATHLETE_CDM,outcome_ath,aggr_pc_5,,,,,,outcome_ath,aggr_pc_0 -ATHLETE_CDM,outcome_ath,aggr_pc_6,,,,,,outcome_ath,aggr_pc_0 -ATHLETE_CDM,outcome_ath,aggr_pc_7,,,,,,outcome_ath,aggr_pc_0 -ATHLETE_CDM,outcome_ath,aggr_pro_1,,,,,,outcome_ath,aggr_pro_0 -ATHLETE_CDM,outcome_ath,aggr_pro_11,,,,,,outcome_ath,aggr_pro_0 -ATHLETE_CDM,outcome_ath,aggr_pro_12,,,,,,outcome_ath,aggr_pro_0 -ATHLETE_CDM,outcome_ath,aggr_pro_13,,,,,,outcome_ath,aggr_pro_0 -ATHLETE_CDM,outcome_ath,aggr_pro_14,,,,,,outcome_ath,aggr_pro_0 -ATHLETE_CDM,outcome_ath,aggr_pro_2,,,,,,outcome_ath,aggr_pro_0 -ATHLETE_CDM,outcome_ath,aggr_pro_3,,,,,,outcome_ath,aggr_pro_0 -ATHLETE_CDM,outcome_ath,aggr_pro_5,,,,,,outcome_ath,aggr_pro_0 -ATHLETE_CDM,outcome_ath,aggr_pro_6,,,,,,outcome_ath,aggr_pro_0 -ATHLETE_CDM,outcome_ath,aggr_pro_7,,,,,,outcome_ath,aggr_pro_0 -ATHLETE_CDM,outcome_ath,aggr_pro_8,,,,,,outcome_ath,aggr_pro_0 -ATHLETE_CDM,outcome_ath,aggr_raw_1,,,,,,outcome_ath,aggr_raw_0 -ATHLETE_CDM,outcome_ath,aggr_raw_11,,,,,,outcome_ath,aggr_raw_0 -ATHLETE_CDM,outcome_ath,aggr_raw_12,,,,,,outcome_ath,aggr_raw_0 -ATHLETE_CDM,outcome_ath,aggr_raw_13,,,,,,outcome_ath,aggr_raw_0 -ATHLETE_CDM,outcome_ath,aggr_raw_14,,,,,,outcome_ath,aggr_raw_0 -ATHLETE_CDM,outcome_ath,aggr_raw_2,,,,,,outcome_ath,aggr_raw_0 -ATHLETE_CDM,outcome_ath,aggr_raw_3,,,,,,outcome_ath,aggr_raw_0 -ATHLETE_CDM,outcome_ath,aggr_raw_5,,,,,,outcome_ath,aggr_raw_0 -ATHLETE_CDM,outcome_ath,aggr_raw_6,,,,,,outcome_ath,aggr_raw_0 -ATHLETE_CDM,outcome_ath,aggr_raw_7,,,,,,outcome_ath,aggr_raw_0 -ATHLETE_CDM,outcome_ath,aggr_raw_8,,,,,,outcome_ath,aggr_raw_0 -LifeCycle_CDM,core,alc_t2,,,,1.0.0,,core,alc_t1 -LifeCycle_CDM,core,alc_t3,,,,1.0.0,,core,alc_t1 -LifeCycle_CDM,outcome,armcirc_1,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_14,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_146,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_147,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_148,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_149,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_15,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_150,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_151,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_152,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_153,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_154,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_155,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_156,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_157,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcirc_158,,,,1.0.0,,outcome,armcirc_0 -LifeCycle_CDM,outcome,armcircage_1,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_14,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_146,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_147,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_148,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_149,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_15,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_150,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_151,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_152,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_153,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_154,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_155,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_156,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_157,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircage_158,,,,1.0.0,,outcome,armcircage_0 -LifeCycle_CDM,outcome,armcircmes_14,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_146,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_147,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_148,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_149,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_150,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_151,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_1,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_15,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_152,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_153,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_154,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_155,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,bioage_1,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,armcircmes_156,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_157,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,armcircmes_158,,,,1.0.0,,outcome,armcircmes_0 -LifeCycle_CDM,outcome,asd_age_1,,,,1.0.0,,outcome,asd_age_0 -LifeCycle_CDM,outcome,asd_age_11,,,,1.0.0,,outcome,asd_age_0 -LifeCycle_CDM,outcome,asd_age_12,,,,1.0.0,,outcome,asd_age_0 -LifeCycle_CDM,outcome,asd_avg_1,,,,1.0.0,,outcome,asd_avg_0 -LifeCycle_CDM,outcome,asd_avg_11,,,,1.0.0,,outcome,asd_avg_0 -LifeCycle_CDM,outcome,asd_avg_12,,,,1.0.0,,outcome,asd_avg_0 -LifeCycle_CDM,outcome,asd_eval_11,,,,1.0.0,,outcome,asd_eval_0 -LifeCycle_CDM,outcome,asd_eval_1,,,,1.0.0,,outcome,asd_eval_0 -LifeCycle_CDM,outcome,asd_eval_12,,,,1.0.0,,outcome,asd_eval_0 -LifeCycle_CDM,outcome,asd_instr_1,,,,1.0.0,,outcome,asd_instr_0 -LifeCycle_CDM,outcome,asd_instr_11,,,,1.0.0,,outcome,asd_instr_0 -LifeCycle_CDM,outcome,asd_instr_12,,,,1.0.0,,outcome,asd_instr_0 -LifeCycle_CDM,outcome,asd_pc_1,,,,1.0.0,,outcome,asd_pc_0 -LifeCycle_CDM,outcome,asd_pc_11,,,,1.0.0,,outcome,asd_pc_0 -LifeCycle_CDM,outcome,asd_pro_1,,,,1.0.0,,outcome,asd_pro_0 -LifeCycle_CDM,outcome,asd_pro_11,,,,1.0.0,,outcome,asd_pro_0 -LifeCycle_CDM,outcome,asd_pro_12,,,,1.0.0,,outcome,asd_pro_0 -LifeCycle_CDM,outcome,asd_raw_1,,,,1.0.0,,outcome,asd_raw_0 -LifeCycle_CDM,outcome,asd_raw_11,,,,1.0.0,,outcome,asd_raw_0 -LifeCycle_CDM,outcome,asd_raw_12,,,,1.0.0,,outcome,asd_raw_0 -LifeCycle_CDM,outcome,asthma_1,,,,1.0.0,,outcome,asthma_0 -LifeCycle_CDM,outcome,asthma_10,,,,1.0.0,,outcome,asthma_0 -LifeCycle_CDM,outcome,asthma_11,,,,1.0.0,,outcome,asthma_0 -LifeCycle_CDM,outcome,asthma_12,,,,1.0.0,,outcome,asthma_0 -LifeCycle_CDM,outcome,asthma_13,,,,1.0.0,,outcome,asthma_0 -LifeCycle_CDM,outcome,asthma_14,,,,1.0.0,,outcome,asthma_0 -LifeCycle_CDM,outcome,asthma_5,,,,1.0.0,,outcome,asthma_0 -LifeCycle_CDM,outcome,asthma_6,,,,1.0.0,,outcome,asthma_0 -LifeCycle_CDM,outcome,asthma_7,,,,1.0.0,,outcome,asthma_0 -LifeCycle_CDM,outcome,asthma_8,,,,1.0.0,,outcome,asthma_0 -LifeCycle_CDM,outcome,asthma_9,,,,1.0.0,,outcome,asthma_0 -LifeCycle_CDM,outcome,asthma_current_ISAAC_1,,,,1.0.0,,outcome,asthma_current_ISAAC_0 -LifeCycle_CDM,outcome,asthma_current_ISAAC_5,,,,1.0.0,,outcome,asthma_current_ISAAC_0 -LifeCycle_CDM,outcome,asthma_current_ISAAC_6,,,,1.0.0,,outcome,asthma_current_ISAAC_0 -LifeCycle_CDM,outcome,asthma_current_ISAAC_7,,,,1.0.0,,outcome,asthma_current_ISAAC_0 -LifeCycle_CDM,outcome,all_1,,,,1.0.0,,outcome,all_0 -LifeCycle_CDM,outcome,asthma_current_MeDALL_1,,,,1.0.0,,outcome,asthma_current_MeDALL_0 -LifeCycle_CDM,outcome,all_5,,,,1.0.0,,outcome,all_0 -LifeCycle_CDM,outcome,asthma_current_MeDALL_5,,,,1.0.0,,outcome,asthma_current_MeDALL_0 -LifeCycle_CDM,outcome,all_6,,,,1.0.0,,outcome,all_0 -LifeCycle_CDM,outcome,asthma_current_MeDALL_6,,,,1.0.0,,outcome,asthma_current_MeDALL_0 -LifeCycle_CDM,outcome,all_7,,,,1.0.0,,outcome,all_0 -LifeCycle_CDM,outcome,asthma_current_MeDALL_7,,,,1.0.0,,outcome,asthma_current_MeDALL_0 -LifeCycle_CDM,outcome,asthma_med_1,,,,1.0.0,,outcome,asthma_med_0 -LifeCycle_CDM,outcome,asthma_med_5,,,,1.0.0,,outcome,asthma_med_0 -LifeCycle_CDM,outcome,asthma_med_6,,,,1.0.0,,outcome,asthma_med_0 -LifeCycle_CDM,outcome,asthma_med_7,,,,1.0.0,,outcome,asthma_med_0 -ATHLETE_CDM,outcome_ath,att_age_5,,,,,,outcome_ath,att_age_0 -ATHLETE_CDM,outcome_ath,att_com_pc_6,,,,,,outcome_ath,att_com_pc_0 -ATHLETE_CDM,outcome_ath,att_com_raw_5,,,,,,outcome_ath,att_com_raw_0 -ATHLETE_CDM,outcome_ath,att_com_raw_6,,,,,,outcome_ath,att_com_raw_0 -ATHLETE_CDM,outcome_ath,att_com_std_6,,,,,,outcome_ath,att_com_std_0 -ATHLETE_CDM,outcome_ath,att_eval_5,,,,,,outcome_ath,att_eval_0 -ATHLETE_CDM,outcome_ath,att_eval_6,,,,,,outcome_ath,att_eval_0 -ATHLETE_CDM,outcome_ath,att_instr_5,,,,,,outcome_ath,att_instr_0 -ATHLETE_CDM,outcome_ath,att_instr_6,,,,,,outcome_ath,att_instr_0 -ATHLETE_CDM,outcome_ath,att_om_pc_6,,,,,,outcome_ath,att_om_pc_0 -ATHLETE_CDM,outcome_ath,att_om_raw_5,,,,,,outcome_ath,att_om_raw_0 -ATHLETE_CDM,outcome_ath,att_om_raw_6,,,,,,outcome_ath,att_om_raw_0 -ATHLETE_CDM,outcome_ath,att_om_std_6,,,,,,outcome_ath,att_om_std_0 -LifeCycle_CDM,outcome,bio_146,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_147,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_1,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_14,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_148,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_149,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_15,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_150,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_151,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_152,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_153,,,,1.0.0,,outcome,bio_0 -PELAGIE,harmonized,OCCUP_F1_7,,,,1.0.0,,harmonized,occup_f1_0 -LifeCycle_CDM,outcome,bio_154,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_155,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_156,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_157,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bio_158,,,,1.0.0,,outcome,bio_0 -LifeCycle_CDM,outcome,bioage_14,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_146,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_147,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_148,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_149,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_15,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_150,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_151,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_152,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_153,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_154,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_155,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_156,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_157,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,bioage_158,,,,1.0.0,,outcome,bioage_0 -LifeCycle_CDM,outcome,biomes_146,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_147,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_148,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_1,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_14,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_149,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_15,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_150,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_151,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_152,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_153,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_154,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_155,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_156,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_157,,,,1.0.0,,outcome,biomes_0 -LifeCycle_CDM,outcome,biomes_158,,,,1.0.0,,outcome,biomes_0 -ATHLETE_CDM,outcome_ath,biparietal_diam_sdsWHO_t3,,,,,,outcome_ath,biparietal_diam_sdsWHO_t2 -ATHLETE_CDM,outcome_ath,biparietal_diam_sdsWHOEUR_t3,,,,,,outcome_ath,biparietal_diam_sdsWHOEUR_t2 -LifeCycle_CDM,outcome,bpage_1,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_14,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_146,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_147,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_148,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_149,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_15,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_150,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_151,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_152,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_153,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_154,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_155,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_156,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_157,,,,1.0.0,,outcome,bpage_0 -LifeCycle_CDM,outcome,bpage_158,,,,1.0.0,,outcome,bpage_0 -ATHLETE_CDM,chemicals_ath,c_2mpa_lod_6,,,,1.1.0,,chemicals_ath,c_2mpa_lod_0 -ATHLETE_CDM,chemicals_ath,c_2mpa_raw_6,,,,1.1.0,,chemicals_ath,c_2mpa_raw_0 -ATHLETE_CDM,chemicals_ath,c_chlorphyrifos_lod_6,,,,1.1.0,,chemicals_ath,c_chlorphyrifos_lod_0 -ATHLETE_CDM,chemicals_ath,c_chlorphyrifos_raw_6,,,,1.1.0,,chemicals_ath,c_chlorphyrifos_raw_0 -ATHLETE_CDM,chemicals_ath,c_cotinine_lod_6,,,,1.1.0,,chemicals_ath,c_cotinine_lod_0 -ATHLETE_CDM,chemicals_ath,c_cotinine_raw_6,,,,1.1.0,,chemicals_ath,c_cotinine_raw_0 -ATHLETE_CDM,chemicals_ath,c_creatinine_lod_6,,,,1.1.0,,chemicals_ath,c_creatinine_lod_0 -ATHLETE_CDM,chemicals_ath,c_creatinine_raw_6,,,,1.1.0,,chemicals_ath,c_creatinine_raw_0 -ATHLETE_CDM,chemicals_ath,c_dde_lod_1,,,,1.1.0,,chemicals_ath,c_dde_lod_0 -ATHLETE_CDM,chemicals_ath,c_dde_lod_12,,,,1.1.0,,chemicals_ath,c_dde_lod_0 -ATHLETE_CDM,chemicals_ath,c_dde_lod_13,,,,1.1.0,,chemicals_ath,c_dde_lod_0 -ATHLETE_CDM,chemicals_ath,c_dde_raw_1,,,,1.1.0,,chemicals_ath,c_dde_raw_0 -ATHLETE_CDM,chemicals_ath,c_dde_raw_12,,,,1.1.0,,chemicals_ath,c_dde_raw_0 -ATHLETE_CDM,chemicals_ath,c_dde_raw_13,,,,1.1.0,,chemicals_ath,c_dde_raw_0 -ATHLETE_CDM,chemicals_ath,c_dedtp_lod_6,,,,1.1.0,,chemicals_ath,c_dedtp_lod_0 -ATHLETE_CDM,chemicals_ath,c_dedtp_raw_6,,,,1.1.0,,chemicals_ath,c_dedtp_raw_0 -ATHLETE_CDM,chemicals_ath,c_dep_lod_6,,,,1.1.0,,chemicals_ath,c_dep_lod_0 -ATHLETE_CDM,chemicals_ath,c_dep_raw_6,,,,1.1.0,,chemicals_ath,c_dep_raw_0 -ATHLETE_CDM,chemicals_ath,c_detp_lod_6,,,,1.1.0,,chemicals_ath,c_detp_lod_0 -ATHLETE_CDM,chemicals_ath,c_detp_raw_6,,,,1.1.0,,chemicals_ath,c_detp_raw_0 -ATHLETE_CDM,chemicals_ath,c_dmdtp_lod_6,,,,1.1.0,,chemicals_ath,c_dmdtp_lod_0 -ATHLETE_CDM,chemicals_ath,c_dmdtp_raw_6,,,,1.1.0,,chemicals_ath,c_dmdtp_raw_0 -PELAGIE,pelagie_q2,B48,,,,1.0.0,,pelagie_q2,B24 -ATHLETE_CDM,chemicals_ath,c_dmp_lod_6,,,,1.1.0,,chemicals_ath,c_dmp_lod_0 -ATHLETE_CDM,chemicals_ath,c_dmp_raw_6,,,,1.1.0,,chemicals_ath,c_dmp_raw_0 -ATHLETE_CDM,chemicals_ath,c_dmtp_lod_6,,,,1.1.0,,chemicals_ath,c_dmtp_lod_0 -ATHLETE_CDM,chemicals_ath,c_dmtp_raw_6,,,,1.1.0,,chemicals_ath,c_dmtp_raw_0 -ATHLETE_CDM,chemicals_ath,c_eaa_lod_6,,,,1.1.0,,chemicals_ath,c_eaa_lod_0 -ATHLETE_CDM,chemicals_ath,c_eaa_raw_6,,,,1.1.0,,chemicals_ath,c_eaa_raw_0 -ATHLETE_CDM,chemicals_ath,c_eeaa_lod_6,,,,1.1.0,,chemicals_ath,c_eeaa_lod_0 -ATHLETE_CDM,chemicals_ath,c_eeaa_raw_6,,,,1.1.0,,chemicals_ath,c_eeaa_raw_0 -ATHLETE_CDM,chemicals_ath,c_hcb_lod_1,,,,1.1.0,,chemicals_ath,c_hcb_lod_0 -ATHLETE_CDM,chemicals_ath,c_hcb_lod_12,,,,1.1.0,,chemicals_ath,c_hcb_lod_0 -ATHLETE_CDM,chemicals_ath,c_hcb_lod_13,,,,1.1.0,,chemicals_ath,c_hcb_lod_0 -ATHLETE_CDM,chemicals_ath,c_hcb_raw_1,,,,1.1.0,,chemicals_ath,c_hcb_raw_0 -ATHLETE_CDM,chemicals_ath,c_hcb_raw_12,,,,1.1.0,,chemicals_ath,c_hcb_raw_0 -ATHLETE_CDM,chemicals_ath,c_hcb_raw_13,,,,1.1.0,,chemicals_ath,c_hcb_raw_0 -ATHLETE_CDM,chemicals_ath,c_hch_lod_1,,,,1.1.0,,chemicals_ath,c_hch_lod_0 -ATHLETE_CDM,chemicals_ath,c_hch_lod_12,,,,1.1.0,,chemicals_ath,c_hch_lod_0 -ATHLETE_CDM,chemicals_ath,c_hch_lod_13,,,,1.1.0,,chemicals_ath,c_hch_lod_0 -ATHLETE_CDM,chemicals_ath,c_hch_raw_1,,,,1.1.0,,chemicals_ath,c_hch_raw_0 -ATHLETE_CDM,chemicals_ath,c_hch_raw_12,,,,1.1.0,,chemicals_ath,c_hch_raw_0 -ATHLETE_CDM,chemicals_ath,c_hch_raw_13,,,,1.1.0,,chemicals_ath,c_hch_raw_0 -ATHLETE_CDM,chemicals_ath,c_maa_lod_6,,,,1.1.0,,chemicals_ath,c_maa_lod_0 -ATHLETE_CDM,chemicals_ath,c_maa_raw_6,,,,1.1.0,,chemicals_ath,c_maa_raw_0 -ATHLETE_CDM,chemicals_ath,c_meaa_lod_6,,,,1.1.0,,chemicals_ath,c_meaa_lod_0 -ATHLETE_CDM,chemicals_ath,c_meaa_raw_6,,,,1.1.0,,chemicals_ath,c_meaa_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb118_lod_1,,,,1.1.0,,chemicals_ath,c_pcb118_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb118_lod_12,,,,1.1.0,,chemicals_ath,c_pcb118_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb118_lod_13,,,,1.1.0,,chemicals_ath,c_pcb118_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb118_raw_1,,,,1.1.0,,chemicals_ath,c_pcb118_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb118_raw_12,,,,1.1.0,,chemicals_ath,c_pcb118_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb118_raw_13,,,,1.1.0,,chemicals_ath,c_pcb118_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb138_lod_1,,,,1.1.0,,chemicals_ath,c_pcb138_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb138_lod_12,,,,1.1.0,,chemicals_ath,c_pcb138_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb138_lod_13,,,,1.1.0,,chemicals_ath,c_pcb138_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb138_raw_1,,,,1.1.0,,chemicals_ath,c_pcb138_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb138_raw_12,,,,1.1.0,,chemicals_ath,c_pcb138_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb138_raw_13,,,,1.1.0,,chemicals_ath,c_pcb138_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb153_lod_1,,,,1.1.0,,chemicals_ath,c_pcb153_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb153_lod_12,,,,1.1.0,,chemicals_ath,c_pcb153_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb153_lod_13,,,,1.1.0,,chemicals_ath,c_pcb153_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb153_raw_1,,,,1.1.0,,chemicals_ath,c_pcb153_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb153_raw_12,,,,1.1.0,,chemicals_ath,c_pcb153_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb153_raw_13,,,,1.1.0,,chemicals_ath,c_pcb153_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb170_lod_1,,,,1.1.0,,chemicals_ath,c_pcb170_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb170_lod_12,,,,1.1.0,,chemicals_ath,c_pcb170_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb170_lod_13,,,,1.1.0,,chemicals_ath,c_pcb170_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb170_raw_1,,,,1.1.0,,chemicals_ath,c_pcb170_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb170_raw_12,,,,1.1.0,,chemicals_ath,c_pcb170_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb170_raw_13,,,,1.1.0,,chemicals_ath,c_pcb170_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb180_lod_1,,,,1.1.0,,chemicals_ath,c_pcb180_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb180_lod_12,,,,1.1.0,,chemicals_ath,c_pcb180_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb180_lod_13,,,,1.1.0,,chemicals_ath,c_pcb180_lod_0 -ATHLETE_CDM,chemicals_ath,c_pcb180_raw_12,,,,1.1.0,,chemicals_ath,c_pcb180_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb180_raw_1,,,,1.1.0,,chemicals_ath,c_pcb180_raw_0 -ATHLETE_CDM,chemicals_ath,c_pcb180_raw_13,,,,1.1.0,,chemicals_ath,c_pcb180_raw_0 -ATHLETE_CDM,chemicals_ath,c_pfda_lod_1,,,,1.1.0,,chemicals_ath,c_pfda_lod_0 -ATHLETE_CDM,chemicals_ath,c_pfda_lod_12,,,,1.1.0,,chemicals_ath,c_pfda_lod_0 -ATHLETE_CDM,chemicals_ath,c_pfda_lod_13,,,,1.1.0,,chemicals_ath,c_pfda_lod_0 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-ATHLETE_CDM,chemicals_ath,c_pfos_raw_1,,,,1.1.0,,chemicals_ath,c_pfos_raw_0 -ATHLETE_CDM,chemicals_ath,c_pfos_raw_12,,,,1.1.0,,chemicals_ath,c_pfos_raw_0 -ATHLETE_CDM,chemicals_ath,c_pfos_raw_13,,,,1.1.0,,chemicals_ath,c_pfos_raw_0 -ATHLETE_CDM,chemicals_ath,c_pfunda_lod_1,,,,1.1.0,,chemicals_ath,c_pfunda_lod_0 -ATHLETE_CDM,chemicals_ath,c_pfunda_lod_12,,,,1.1.0,,chemicals_ath,c_pfunda_lod_0 -ATHLETE_CDM,chemicals_ath,c_pfunda_lod_13,,,,1.1.0,,chemicals_ath,c_pfunda_lod_0 -ATHLETE_CDM,chemicals_ath,c_pfunda_raw_1,,,,1.1.0,,chemicals_ath,c_pfunda_raw_0 -ATHLETE_CDM,chemicals_ath,c_pfunda_raw_12,,,,1.1.0,,chemicals_ath,c_pfunda_raw_0 -ATHLETE_CDM,chemicals_ath,c_pfunda_raw_13,,,,1.1.0,,chemicals_ath,c_pfunda_raw_0 -ATHLETE_CDM,chemicals_ath,c_phenoxyacetic_acid_lod_6,,,,1.1.0,,chemicals_ath,c_phenoxyacetic_acid_lod_0 -ATHLETE_CDM,chemicals_ath,c_phenoxyacetic_acid_raw_6,,,,1.1.0,,chemicals_ath,c_phenoxyacetic_acid_raw_0 -LifeCycle_CDM,core,childcare_1,,,,1.0.0,,core,childcare_0 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-LifeCycle_CDM,outcome,ext_age_12,,,,1.0.0,,outcome,ext_age_0 -LifeCycle_CDM,outcome,ext_age_13,,,,1.0.0,,outcome,ext_age_0 -LifeCycle_CDM,outcome,ext_age_14,,,,1.0.0,,outcome,ext_age_0 -LifeCycle_CDM,outcome,ext_age_2,,,,1.0.0,,outcome,ext_age_0 -LifeCycle_CDM,outcome,ext_age_3,,,,1.0.0,,outcome,ext_age_0 -LifeCycle_CDM,outcome,ext_age_5,,,,1.0.0,,outcome,ext_age_0 -LifeCycle_CDM,outcome,ext_age_6,,,,1.0.0,,outcome,ext_age_0 -LifeCycle_CDM,outcome,ext_age_7,,,,1.0.0,,outcome,ext_age_0 -LifeCycle_CDM,outcome,ext_age_8,,,,1.0.0,,outcome,ext_age_0 -LifeCycle_CDM,outcome,ext_avg_1,,,,1.0.0,,outcome,ext_avg_0 -LifeCycle_CDM,outcome,ext_avg_11,,,,1.0.0,,outcome,ext_avg_0 -LifeCycle_CDM,outcome,ext_avg_12,,,,1.0.0,,outcome,ext_avg_0 -LifeCycle_CDM,outcome,ext_avg_13,,,,1.0.0,,outcome,ext_avg_0 -LifeCycle_CDM,outcome,ext_avg_14,,,,1.0.0,,outcome,ext_avg_0 -LifeCycle_CDM,outcome,ext_avg_2,,,,1.0.0,,outcome,ext_avg_0 -LifeCycle_CDM,outcome,ext_avg_3,,,,1.0.0,,outcome,ext_avg_0 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-PELAGIE,harmonized,EXT_EVAL_14,,,,1.0.0,,harmonized,ext_eval_1 -LifeCycle_CDM,outcome,ext_eval_2,,,,1.0.0,,outcome,ext_eval_0 -PELAGIE,harmonized,ext_eval_2,,,,1.0.0,,harmonized,ext_eval_1 -PELAGIE,harmonized,EXT_EVAL_2,,,,1.0.0,,harmonized,ext_eval_1 -LifeCycle_CDM,outcome,ext_eval_3,,,,1.0.0,,outcome,ext_eval_0 -PELAGIE,harmonized,ext_eval_3,,,,1.0.0,,harmonized,ext_eval_1 -PELAGIE,harmonized,EXT_EVAL_3,,,,1.0.0,,harmonized,ext_eval_1 -LifeCycle_CDM,outcome,ext_eval_5,,,,1.0.0,,outcome,ext_eval_0 -PELAGIE,harmonized,ext_eval_5,,,,1.0.0,,harmonized,ext_eval_1 -PELAGIE,harmonized,EXT_EVAL_5,,,,1.0.0,,harmonized,ext_eval_1 -LifeCycle_CDM,outcome,ext_eval_6,,,,1.0.0,,outcome,ext_eval_0 -PELAGIE,harmonized,ext_eval_6,,,,1.0.0,,harmonized,ext_eval_1 -PELAGIE,harmonized,EXT_EVAL_6,,,,1.0.0,,harmonized,ext_eval_1 -LifeCycle_CDM,outcome,ext_eval_7,,,,1.0.0,,outcome,ext_eval_0 -PELAGIE,harmonized,ext_eval_7,,,,1.0.0,,harmonized,ext_eval_1 -PELAGIE,harmonized,EXT_EVAL_7,,,,1.0.0,,harmonized,ext_eval_1 -LifeCycle_CDM,outcome,ext_eval_8,,,,1.0.0,,outcome,ext_eval_0 -PELAGIE,harmonized,ext_eval_8,,,,1.0.0,,harmonized,ext_eval_1 -PELAGIE,harmonized,EXT_EVAL_8,,,,1.0.0,,harmonized,ext_eval_1 -LifeCycle_CDM,outcome,ext_instr_11,,,,1.0.0,,outcome,ext_instr_0 -PELAGIE,harmonized,EXT_INSTR_11,,,,1.0.0,,harmonized,ext_instr_1 -LifeCycle_CDM,outcome,ext_instr_1,,,,1.0.0,,outcome,ext_instr_0 -LifeCycle_CDM,outcome,ext_instr_12,,,,1.0.0,,outcome,ext_instr_0 -PELAGIE,harmonized,ext_instr_12,,,,1.0.0,,harmonized,ext_instr_1 -PELAGIE,harmonized,EXT_INSTR_12,,,,1.0.0,,harmonized,ext_instr_1 -LifeCycle_CDM,outcome,ext_instr_13,,,,1.0.0,,outcome,ext_instr_0 -PELAGIE,harmonized,ext_instr_13,,,,1.0.0,,harmonized,ext_instr_1 -PELAGIE,harmonized,EXT_INSTR_13,,,,1.0.0,,harmonized,ext_instr_1 -LifeCycle_CDM,outcome,ext_instr_14,,,,1.0.0,,outcome,ext_instr_0 -PELAGIE,harmonized,ext_instr_14,,,,1.0.0,,harmonized,ext_instr_1 -PELAGIE,harmonized,EXT_INSTR_14,,,,1.0.0,,harmonized,ext_instr_1 -LifeCycle_CDM,outcome,ext_instr_2,,,,1.0.0,,outcome,ext_instr_0 -PELAGIE,harmonized,ext_instr_2,,,,1.0.0,,harmonized,ext_instr_1 -PELAGIE,harmonized,EXT_INSTR_2,,,,1.0.0,,harmonized,ext_instr_1 -LifeCycle_CDM,outcome,ext_instr_3,,,,1.0.0,,outcome,ext_instr_0 -PELAGIE,harmonized,ext_instr_3,,,,1.0.0,,harmonized,ext_instr_1 -PELAGIE,harmonized,EXT_INSTR_3,,,,1.0.0,,harmonized,ext_instr_1 -LifeCycle_CDM,outcome,ext_instr_5,,,,1.0.0,,outcome,ext_instr_0 -PELAGIE,harmonized,ext_instr_5,,,,1.0.0,,harmonized,ext_instr_1 -PELAGIE,harmonized,EXT_INSTR_5,,,,1.0.0,,harmonized,ext_instr_1 -LifeCycle_CDM,outcome,ext_instr_6,,,,1.0.0,,outcome,ext_instr_0 -PELAGIE,harmonized,ext_instr_6,,,,1.0.0,,harmonized,ext_instr_1 -PELAGIE,harmonized,EXT_INSTR_6,,,,1.0.0,,harmonized,ext_instr_1 -LifeCycle_CDM,outcome,ext_instr_7,,,,1.0.0,,outcome,ext_instr_0 -PELAGIE,harmonized,ext_instr_7,,,,1.0.0,,harmonized,ext_instr_1 -PELAGIE,harmonized,EXT_INSTR_7,,,,1.0.0,,harmonized,ext_instr_1 -LifeCycle_CDM,outcome,ext_instr_8,,,,1.0.0,,outcome,ext_instr_0 -PELAGIE,harmonized,ext_instr_8,,,,1.0.0,,harmonized,ext_instr_1 -PELAGIE,harmonized,EXT_INSTR_8,,,,1.0.0,,harmonized,ext_instr_1 -LifeCycle_CDM,outcome,ext_pc_1,,,,1.0.0,,outcome,ext_pc_0 -LifeCycle_CDM,outcome,ext_pc_12,,,,1.0.0,,outcome,ext_pc_0 -LifeCycle_CDM,outcome,ext_pc_13,,,,1.0.0,,outcome,ext_pc_0 -LifeCycle_CDM,outcome,ext_pc_2,,,,1.0.0,,outcome,ext_pc_0 -LifeCycle_CDM,outcome,ext_pc_5,,,,1.0.0,,outcome,ext_pc_0 -LifeCycle_CDM,outcome,ext_pc_6,,,,1.0.0,,outcome,ext_pc_0 -LifeCycle_CDM,outcome,ext_pc_7,,,,1.0.0,,outcome,ext_pc_0 -LifeCycle_CDM,outcome,ext_pro_1,,,,1.0.0,,outcome,ext_pro_0 -LifeCycle_CDM,outcome,ext_pro_11,,,,1.0.0,,outcome,ext_pro_0 -LifeCycle_CDM,outcome,ext_pro_12,,,,1.0.0,,outcome,ext_pro_0 -LifeCycle_CDM,outcome,ext_pro_13,,,,1.0.0,,outcome,ext_pro_0 -LifeCycle_CDM,outcome,ext_pro_14,,,,1.0.0,,outcome,ext_pro_0 -LifeCycle_CDM,outcome,ext_pro_2,,,,1.0.0,,outcome,ext_pro_0 -LifeCycle_CDM,outcome,ext_pro_3,,,,1.0.0,,outcome,ext_pro_0 -LifeCycle_CDM,outcome,ext_pro_5,,,,1.0.0,,outcome,ext_pro_0 -LifeCycle_CDM,outcome,ext_pro_6,,,,1.0.0,,outcome,ext_pro_0 -LifeCycle_CDM,outcome,ext_pro_7,,,,1.0.0,,outcome,ext_pro_0 -LifeCycle_CDM,outcome,ext_pro_8,,,,1.0.0,,outcome,ext_pro_0 -LifeCycle_CDM,outcome,ext_raw_1,,,,1.0.0,,outcome,ext_raw_0 -LifeCycle_CDM,outcome,ext_raw_11,,,,1.0.0,,outcome,ext_raw_0 -LifeCycle_CDM,outcome,ext_raw_12,,,,1.0.0,,outcome,ext_raw_0 -LifeCycle_CDM,outcome,ext_raw_13,,,,1.0.0,,outcome,ext_raw_0 -LifeCycle_CDM,outcome,ext_raw_14,,,,1.0.0,,outcome,ext_raw_0 -LifeCycle_CDM,outcome,ext_raw_2,,,,1.0.0,,outcome,ext_raw_0 -LifeCycle_CDM,outcome,ext_raw_3,,,,1.0.0,,outcome,ext_raw_0 -LifeCycle_CDM,outcome,ext_raw_5,,,,1.0.0,,outcome,ext_raw_0 -LifeCycle_CDM,outcome,ext_raw_6,,,,1.0.0,,outcome,ext_raw_0 -LifeCycle_CDM,outcome,ext_raw_7,,,,1.0.0,,outcome,ext_raw_0 -LifeCycle_CDM,outcome,ext_raw_8,,,,1.0.0,,outcome,ext_raw_0 -LifeCycle_CDM,core,fam_splitup1,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup10,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup11,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup12,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup13,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup14,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup2,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup3,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup4,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup5,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup6,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup7,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup8,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,fam_splitup9,,,,1.0.0,,core,fam_splitup0 -LifeCycle_CDM,core,famsize_adult1,,,,1.0.0,,core,famsize_adult0 -LifeCycle_CDM,core,famsize_adult12,,,,1.0.0,,core,famsize_adult0 -LifeCycle_CDM,core,famsize_adult13,,,,1.0.0,,core,famsize_adult0 -LifeCycle_CDM,core,famsize_adult14,,,,1.0.0,,core,famsize_adult0 -LifeCycle_CDM,core,famsize_adult2,,,,1.0.0,,core,famsize_adult0 -LifeCycle_CDM,core,famsize_adult3,,,,1.0.0,,core,famsize_adult0 -LifeCycle_CDM,core,famsize_adult5,,,,1.0.0,,core,famsize_adult0 -LifeCycle_CDM,core,famsize_adult6,,,,1.0.0,,core,famsize_adult0 -LifeCycle_CDM,core,famsize_adult7,,,,1.0.0,,core,famsize_adult0 -LifeCycle_CDM,core,famsize_adult8,,,,1.0.0,,core,famsize_adult0 -LifeCycle_CDM,core,famsize_child12,,,,1.0.0,,core,famsize_child0 -LifeCycle_CDM,core,famsize_child1,,,,1.0.0,,core,famsize_child0 -LifeCycle_CDM,core,famsize_child13,,,,1.0.0,,core,famsize_child0 -LifeCycle_CDM,core,famsize_child14,,,,1.0.0,,core,famsize_child0 -LifeCycle_CDM,core,famsize_child2,,,,1.0.0,,core,famsize_child0 -LifeCycle_CDM,core,famsize_child3,,,,1.0.0,,core,famsize_child0 -LifeCycle_CDM,core,famsize_child5,,,,1.0.0,,core,famsize_child0 -LifeCycle_CDM,core,famsize_child6,,,,1.0.0,,core,famsize_child0 -LifeCycle_CDM,core,famsize_child7,,,,1.0.0,,core,famsize_child0 -LifeCycle_CDM,core,famsize_child8,,,,1.0.0,,core,famsize_child0 -ATHLETE_CDM,outcome_ath,femur_length_sdsWHO_t3,,,,,,outcome_ath,femur_length_sdsWHO_t2 -ATHLETE_CDM,outcome_ath,femur_length_sdsWHOEUR_t3,,,,,,outcome_ath,femur_length_sdsWHOEUR_t2 -ATHLETE_CDM,outcome_ath,fetus_abd_circum_t3,,,,,,outcome_ath,fetus_abd_circum_t2 -ATHLETE_CDM,outcome_ath,fetus_biparietal_diam_t2,,,,,,outcome_ath,fetus_biparietal_diam_t1 -ATHLETE_CDM,outcome_ath,fetus_biparietal_diam_t3,,,,,,outcome_ath,fetus_biparietal_diam_t1 -ATHLETE_CDM,outcome_ath,fetus_femur_length_t3,,,,,,outcome_ath,fetus_femur_length_t2 -ATHLETE_CDM,outcome_ath,fetus_head_circum_t3,,,,,,outcome_ath,fetus_head_circum_t2 -ATHLETE_CDM,outcome_ath,fetus_weight_t3,,,,,,outcome_ath,fetus_weight_t2 -LifeCycle_CDM,outcome,food_all_1,,,,1.0.0,,outcome,food_all_0 -LifeCycle_CDM,outcome,all_10,,,,1.0.0,,outcome,all_0 -LifeCycle_CDM,outcome,food_all_10,,,,1.0.0,,outcome,food_all_0 -LifeCycle_CDM,outcome,all_11,,,,1.0.0,,outcome,all_0 -LifeCycle_CDM,outcome,food_all_11,,,,1.0.0,,outcome,food_all_0 -LifeCycle_CDM,outcome,all_12,,,,1.0.0,,outcome,all_0 -LifeCycle_CDM,outcome,food_all_12,,,,1.0.0,,outcome,food_all_0 -LifeCycle_CDM,outcome,all_13,,,,1.0.0,,outcome,all_0 -LifeCycle_CDM,outcome,food_all_13,,,,1.0.0,,outcome,food_all_0 -LifeCycle_CDM,outcome,all_14,,,,1.0.0,,outcome,all_0 -LifeCycle_CDM,outcome,food_all_14,,,,1.0.0,,outcome,food_all_0 -LifeCycle_CDM,outcome,food_all_5,,,,1.0.0,,outcome,food_all_0 -LifeCycle_CDM,outcome,food_all_6,,,,1.0.0,,outcome,food_all_0 -LifeCycle_CDM,outcome,food_all_7,,,,1.0.0,,outcome,food_all_0 -LifeCycle_CDM,outcome,all_8,,,,1.0.0,,outcome,all_0 -LifeCycle_CDM,outcome,food_all_8,,,,1.0.0,,outcome,food_all_0 -LifeCycle_CDM,outcome,all_9,,,,1.0.0,,outcome,all_0 -LifeCycle_CDM,outcome,food_all_9,,,,1.0.0,,outcome,food_all_0 -ATHLETE_CDM,outcome_ath,ga_us_t2,,,,,,outcome_ath,ga_us_t1 -ATHLETE_CDM,outcome_ath,ga_us_t3,,,,,,outcome_ath,ga_us_t1 -LifeCycle_CDM,outcome,hdlc_1,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_14,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_146,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_147,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_148,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_149,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_15,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_150,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_151,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_152,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_153,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_154,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_155,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_156,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_157,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlc_158,,,,1.0.0,,outcome,hdlc_0 -LifeCycle_CDM,outcome,hdlcage_146,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_147,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_148,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_14,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_149,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_150,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_151,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_152,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_153,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_154,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_155,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_156,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_157,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_1,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_15,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcage_158,,,,1.0.0,,outcome,hdlcage_0 -LifeCycle_CDM,outcome,hdlcmes_1,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_14,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_146,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_147,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_148,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_149,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_15,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_150,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_151,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_152,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_153,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_154,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_155,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_156,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_157,,,,1.0.0,,outcome,hdlcmes_0 -LifeCycle_CDM,outcome,hdlcmes_158,,,,1.0.0,,outcome,hdlcmes_0 -ATHLETE_CDM,outcome_ath,head_circum_sdsWHO_t3,,,,,,outcome_ath,head_circum_sdsWHO_t2 -ATHLETE_CDM,outcome_ath,head_circum_sdsWHOEUR_t3,,,,,,outcome_ath,head_circum_sdsWHOEUR_t2 -LifeCycle_CDM,outcome,headcirc_10,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_11,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_12,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_13,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_146,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_147,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_1,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_14,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_148,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_149,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_150,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_151,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_15,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_152,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_153,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_154,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_155,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_156,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_157,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_158,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_16,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_17,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_18,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_19,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_2,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_20,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_21,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_22,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_23,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_24,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_25,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_26,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_27,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_28,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_29,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_3,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_30,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_31,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_32,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_33,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_34,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_4,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_5,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_6,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_7,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_8,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcirc_9,,,,1.0.0,,outcome,headcirc_0 -LifeCycle_CDM,outcome,headcircage_10,,,,1.0.0,,outcome,headcircage_0 -LifeCycle_CDM,outcome,headcircage_11,,,,1.0.0,,outcome,headcircage_0 -LifeCycle_CDM,outcome,headcircage_12,,,,1.0.0,,outcome,headcircage_0 -LifeCycle_CDM,outcome,headcircage_13,,,,1.0.0,,outcome,headcircage_0 -LifeCycle_CDM,outcome,headcircage_146,,,,1.0.0,,outcome,headcircage_0 -LifeCycle_CDM,outcome,headcircage_147,,,,1.0.0,,outcome,headcircage_0 -LifeCycle_CDM,outcome,headcircage_148,,,,1.0.0,,outcome,headcircage_0 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-LifeCycle_CDM,outcome,lan_raw_6,,,,1.0.0,,outcome,lan_raw_0 -LifeCycle_CDM,outcome,lan_std_6,,,,1.0.0,,outcome,lan_std_0 -LifeCycle_CDM,outcome,ldlc_1,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_14,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_146,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_147,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_148,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_149,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_15,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_150,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_151,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_152,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_153,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_154,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_155,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_156,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_157,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlc_158,,,,1.0.0,,outcome,ldlc_0 -LifeCycle_CDM,outcome,ldlcage_146,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_147,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_148,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_1,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_14,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_149,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_15,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_150,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_151,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_152,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_153,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_154,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_155,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_156,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_157,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcage_158,,,,1.0.0,,outcome,ldlcage_0 -LifeCycle_CDM,outcome,ldlcmes_146,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_147,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_148,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_1,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_14,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_149,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_150,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_151,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_152,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_153,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_154,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_155,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_15,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_156,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_157,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,ldlcmes_158,,,,1.0.0,,outcome,ldlcmes_0 -LifeCycle_CDM,outcome,LRTI_1,,,,1.0.0,,outcome,LRTI_0 -ATHLETE_CDM,chemicals_ath,m_2mpa_lod_t2,,,,1.1.0,,chemicals_ath,m_2mpa_lod_t1 -ATHLETE_CDM,chemicals_ath,m_2mpa_raw_t2,,,,1.1.0,,chemicals_ath,m_2mpa_raw_t1 -ATHLETE_CDM,chemicals_ath,m_bpa_lod_t2,,,,1.1.0,,chemicals_ath,m_bpa_lod_t1 -ATHLETE_CDM,chemicals_ath,m_bpa_raw_t2,,,,1.1.0,,chemicals_ath,m_bpa_raw_t1 -LifeCycle_CDM,core,mental_exp10,,,,1.0.0,,core,mental_exp0 -ATHLETE_CDM,chemicals_ath,m_bpf_lod_t2,,,,1.1.0,,chemicals_ath,m_bpf_lod_t1 -ATHLETE_CDM,chemicals_ath,m_bpf_raw_t2,,,,1.1.0,,chemicals_ath,m_bpf_raw_t1 -ATHLETE_CDM,chemicals_ath,m_bps_lod_t2,,,,1.1.0,,chemicals_ath,m_bps_lod_t1 -ATHLETE_CDM,chemicals_ath,m_bps_raw_t2,,,,1.1.0,,chemicals_ath,m_bps_raw_t1 -ATHLETE_CDM,chemicals_ath,m_bupa_lod_t2,,,,1.1.0,,chemicals_ath,m_bupa_lod_t1 -ATHLETE_CDM,chemicals_ath,m_bupa_raw_t2,,,,1.1.0,,chemicals_ath,m_bupa_raw_t1 -ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_lod_t2,,,,1.1.0,,chemicals_ath,m_chlorphyrifos_lod_t1 -ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_raw_t2,,,,1.1.0,,chemicals_ath,m_chlorphyrifos_raw_t1 -ATHLETE_CDM,chemicals_ath,m_cotinine_lod_t2,,,,1.1.0,,chemicals_ath,m_cotinine_lod_t1 -ATHLETE_CDM,chemicals_ath,m_cotinine_raw_t2,,,,1.1.0,,chemicals_ath,m_cotinine_raw_t1 -ATHLETE_CDM,chemicals_ath,m_creatinine_lod_t2,,,,1.1.0,,chemicals_ath,m_creatinine_lod_t1 -PELAGIE,harmonized,occup_f1_8,,,,1.0.0,,harmonized,occup_f1_0 -ATHLETE_CDM,chemicals_ath,m_creatinine_raw_t2,,,,1.1.0,,chemicals_ath,m_creatinine_raw_t1 -ATHLETE_CDM,chemicals_ath,m_cxminp_lod_t2,,,,1.1.0,,chemicals_ath,m_cxminp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_cxminp_raw_t2,,,,1.1.0,,chemicals_ath,m_cxminp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_dedtp_lod_t2,,,,1.1.0,,chemicals_ath,m_dedtp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_dedtp_raw_t2,,,,1.1.0,,chemicals_ath,m_dedtp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_dep_lod_t2,,,,1.1.0,,chemicals_ath,m_dep_lod_t1 -ATHLETE_CDM,chemicals_ath,m_dep_raw_t2,,,,1.1.0,,chemicals_ath,m_dep_raw_t1 -ATHLETE_CDM,chemicals_ath,m_detp_lod_t2,,,,1.1.0,,chemicals_ath,m_detp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_detp_raw_t2,,,,1.1.0,,chemicals_ath,m_detp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_dmdtp_lod_t2,,,,1.1.0,,chemicals_ath,m_dmdtp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_dmdtp_raw_t2,,,,1.1.0,,chemicals_ath,m_dmdtp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_dmp_lod_t2,,,,1.1.0,,chemicals_ath,m_dmp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_dmp_raw_t2,,,,1.1.0,,chemicals_ath,m_dmp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_dmtp_lod_t2,,,,1.1.0,,chemicals_ath,m_dmtp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_dmtp_raw_t2,,,,1.1.0,,chemicals_ath,m_dmtp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_eaa_lod_t2,,,,1.1.0,,chemicals_ath,m_eaa_lod_t1 -ATHLETE_CDM,chemicals_ath,m_eaa_raw_t2,,,,1.1.0,,chemicals_ath,m_eaa_raw_t1 -ATHLETE_CDM,chemicals_ath,m_eeaa_lod_t2,,,,1.1.0,,chemicals_ath,m_eeaa_lod_t1 -ATHLETE_CDM,chemicals_ath,m_eeaa_raw_t2,,,,1.1.0,,chemicals_ath,m_eeaa_raw_t1 -ATHLETE_CDM,chemicals_ath,m_etpa_lod_t2,,,,1.1.0,,chemicals_ath,m_etpa_lod_t1 -ATHLETE_CDM,chemicals_ath,m_etpa_raw_t2,,,,1.1.0,,chemicals_ath,m_etpa_raw_t1 -ATHLETE_CDM,chemicals_ath,m_hg_lod_t3,,,,1.1.0,,chemicals_ath,m_hg_lod_t1 -ATHLETE_CDM,chemicals_ath,m_hg_raw_t3,,,,1.1.0,,chemicals_ath,m_hg_raw_t1 -ATHLETE_CDM,chemicals_ath,m_maa_lod_t2,,,,1.1.0,,chemicals_ath,m_maa_lod_t1 -ATHLETE_CDM,chemicals_ath,m_maa_raw_t2,,,,1.1.0,,chemicals_ath,m_maa_raw_t1 -ATHLETE_CDM,chemicals_ath,m_mbzp_lod_t2,,,,1.1.0,,chemicals_ath,m_mbzp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_mbzp_raw_t2,,,,1.1.0,,chemicals_ath,m_mbzp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_mchp_lod_t2,,,,1.1.0,,chemicals_ath,m_mchp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_mchp_raw_t2,,,,1.1.0,,chemicals_ath,m_mchp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_meaa_lod_t2,,,,1.1.0,,chemicals_ath,m_meaa_lod_t1 -ATHLETE_CDM,chemicals_ath,m_meaa_raw_t2,,,,1.1.0,,chemicals_ath,m_meaa_raw_t1 -ATHLETE_CDM,chemicals_ath,m_mecpp_lod_t2,,,,1.1.0,,chemicals_ath,m_mecpp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_mecpp_raw_t2,,,,1.1.0,,chemicals_ath,m_mecpp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_mehhp_lod_t2,,,,1.1.0,,chemicals_ath,m_mehhp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_mehhp_raw_t2,,,,1.1.0,,chemicals_ath,m_mehhp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_mehp_lod_t2,,,,1.1.0,,chemicals_ath,m_mehp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_mehp_raw_t2,,,,1.1.0,,chemicals_ath,m_mehp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_meohp_lod_t2,,,,1.1.0,,chemicals_ath,m_meohp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_meohp_raw_t2,,,,1.1.0,,chemicals_ath,m_meohp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_mep_lod_t2,,,,1.1.0,,chemicals_ath,m_mep_lod_t1 -ATHLETE_CDM,chemicals_ath,m_mep_raw_t2,,,,1.1.0,,chemicals_ath,m_mep_raw_t1 -ATHLETE_CDM,chemicals_ath,m_mepa_lod_t2,,,,1.1.0,,chemicals_ath,m_mepa_lod_t1 -ATHLETE_CDM,chemicals_ath,m_mepa_raw_t2,,,,1.1.0,,chemicals_ath,m_mepa_raw_t1 -ATHLETE_CDM,chemicals_ath,m_mibp_lod_t2,,,,1.1.0,,chemicals_ath,m_mibp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_mibp_raw_t2,,,,1.1.0,,chemicals_ath,m_mibp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_mnbp_lod_t2,,,,1.1.0,,chemicals_ath,m_mnbp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_mnbp_raw_t2,,,,1.1.0,,chemicals_ath,m_mnbp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_mnop_lod_t2,,,,1.1.0,,chemicals_ath,m_mnop_lod_t1 -ATHLETE_CDM,chemicals_ath,m_mnop_raw_t2,,,,1.1.0,,chemicals_ath,m_mnop_raw_t1 -ATHLETE_CDM,chemicals_ath,m_mnpep_lod_t2,,,,1.1.0,,chemicals_ath,m_mnpep_lod_t1 -ATHLETE_CDM,chemicals_ath,m_mnpep_raw_t2,,,,1.1.0,,chemicals_ath,m_mnpep_raw_t1 -ATHLETE_CDM,chemicals_ath,m_ohminch_lod_t2,,,,1.1.0,,chemicals_ath,m_ohminch_lod_t1 -ATHLETE_CDM,chemicals_ath,m_ohminch_raw_t2,,,,1.1.0,,chemicals_ath,m_ohminch_raw_t1 -ATHLETE_CDM,chemicals_ath,m_ohminp_lod_t2,,,,1.1.0,,chemicals_ath,m_ohminp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_ohminp_raw_t2,,,,1.1.0,,chemicals_ath,m_ohminp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_ohmphp_lod_t2,,,,1.1.0,,chemicals_ath,m_ohmphp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_ohmphp_raw_t2,,,,1.1.0,,chemicals_ath,m_ohmphp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_oxbe_lod_t2,,,,1.1.0,,chemicals_ath,m_oxbe_lod_t1 -ATHLETE_CDM,chemicals_ath,m_oxbe_raw_t2,,,,1.1.0,,chemicals_ath,m_oxbe_raw_t1 -ATHLETE_CDM,chemicals_ath,m_oxominch_lod_t2,,,,1.1.0,,chemicals_ath,m_oxominch_lod_t1 -ATHLETE_CDM,chemicals_ath,m_oxominch_raw_t2,,,,1.1.0,,chemicals_ath,m_oxominch_raw_t1 -ATHLETE_CDM,chemicals_ath,m_oxominp_lod_t2,,,,1.1.0,,chemicals_ath,m_oxominp_lod_t1 -ATHLETE_CDM,chemicals_ath,m_oxominp_raw_t2,,,,1.1.0,,chemicals_ath,m_oxominp_raw_t1 -ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_lod_t2,,,,1.1.0,,chemicals_ath,m_phenoxyacetic_acid_lod_t1 -ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_raw_t2,,,,1.1.0,,chemicals_ath,m_phenoxyacetic_acid_raw_t1 -ATHLETE_CDM,chemicals_ath,m_prpa_lod_t2,,,,1.1.0,,chemicals_ath,m_prpa_lod_t1 -ATHLETE_CDM,chemicals_ath,m_prpa_raw_t2,,,,1.1.0,,chemicals_ath,m_prpa_raw_t1 -ATHLETE_CDM,chemicals_ath,m_trcs_lod_t2,,,,1.1.0,,chemicals_ath,m_trcs_lod_t1 -ATHLETE_CDM,chemicals_ath,m_trcs_raw_t2,,,,1.1.0,,chemicals_ath,m_trcs_raw_t1 -LifeCycle_CDM,core,mental_exp11,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp12,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp13,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp1,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp2,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp14,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp15,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp16,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp3,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp4,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp5,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp6,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp7,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp8,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp9,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp17,,,,1.0.0,,core,mental_exp0 -LifeCycle_CDM,core,mental_exp18,,,,1.0.0,,core,mental_exp0 -ATHLETE_CDM,outcome_ath,n_wheezing_12m_1,,,,,,outcome_ath,n_wheezing_12m_0 -ATHLETE_CDM,outcome_ath,n_wheezing_12m_5,,,,,,outcome_ath,n_wheezing_12m_0 -ATHLETE_CDM,outcome_ath,n_wheezing_12m_6,,,,,,outcome_ath,n_wheezing_12m_0 -ATHLETE_CDM,outcome_ath,n_wheezing_12m_7,,,,,,outcome_ath,n_wheezing_12m_0 -LifeCycle_CDM,outcome,nvi_age_5,,,,1.0.0,,outcome,nvi_age_0 -LifeCycle_CDM,outcome,nvi_age_6,,,,1.0.0,,outcome,nvi_age_0 -LifeCycle_CDM,outcome,nvi_avg_5,,,,1.0.0,,outcome,nvi_avg_0 -LifeCycle_CDM,outcome,nvi_avg_6,,,,1.0.0,,outcome,nvi_avg_0 -LifeCycle_CDM,outcome,nvi_eval_5,,,,1.0.0,,outcome,nvi_eval_0 -LifeCycle_CDM,outcome,nvi_eval_6,,,,1.0.0,,outcome,nvi_eval_0 -LifeCycle_CDM,outcome,nvi_instr_5,,,,1.0.0,,outcome,nvi_instr_0 -LifeCycle_CDM,outcome,nvi_instr_6,,,,1.0.0,,outcome,nvi_instr_0 -LifeCycle_CDM,outcome,nvi_pc_6,,,,1.0.0,,outcome,nvi_pc_0 -LifeCycle_CDM,outcome,nvi_pro_5,,,,1.0.0,,outcome,nvi_pro_0 -LifeCycle_CDM,outcome,nvi_pro_6,,,,1.0.0,,outcome,nvi_pro_0 -LifeCycle_CDM,outcome,nvi_raw_5,,,,1.0.0,,outcome,nvi_raw_0 -LifeCycle_CDM,outcome,nvi_raw_6,,,,1.0.0,,outcome,nvi_raw_0 -LifeCycle_CDM,outcome,nvi_std_6,,,,1.0.0,,outcome,nvi_std_0 -LifeCycle_CDM,core,occup_f1_1,,,,1.0.0,,core,occup_f1_0 -PELAGIE,harmonized,occup_f1_1,,,,1.0.0,,harmonized,occup_f1_0 -PELAGIE,harmonized,OCCUP_F1_1,,,,1.0.0,,harmonized,occup_f1_0 -LifeCycle_CDM,core,occup_f1_12,,,,1.0.0,,core,occup_f1_0 -PELAGIE,harmonized,occup_f1_12,,,,1.0.0,,harmonized,occup_f1_0 -PELAGIE,harmonized,OCCUP_F1_12,,,,1.0.0,,harmonized,occup_f1_0 -LifeCycle_CDM,core,occup_f1_13,,,,1.0.0,,core,occup_f1_0 -PELAGIE,harmonized,occup_f1_13,,,,1.0.0,,harmonized,occup_f1_0 -PELAGIE,harmonized,OCCUP_F1_13,,,,1.0.0,,harmonized,occup_f1_0 -LifeCycle_CDM,core,occup_f1_14,,,,1.0.0,,core,occup_f1_0 -PELAGIE,harmonized,occup_f1_14,,,,1.0.0,,harmonized,occup_f1_0 -PELAGIE,harmonized,OCCUP_F1_14,,,,1.0.0,,harmonized,occup_f1_0 -LifeCycle_CDM,core,occup_f1_2,,,,1.0.0,,core,occup_f1_0 -PELAGIE,harmonized,occup_f1_2,,,,1.0.0,,harmonized,occup_f1_0 -PELAGIE,harmonized,OCCUP_F1_2,,,,1.0.0,,harmonized,occup_f1_0 -LifeCycle_CDM,core,occup_f1_3,,,,1.0.0,,core,occup_f1_0 -PELAGIE,harmonized,occup_f1_3,,,,1.0.0,,harmonized,occup_f1_0 -PELAGIE,harmonized,OCCUP_F1_3,,,,1.0.0,,harmonized,occup_f1_0 -LifeCycle_CDM,core,occup_f1_6,,,,1.0.0,,core,occup_f1_0 -PELAGIE,harmonized,occup_f1_6,,,,1.0.0,,harmonized,occup_f1_0 -PELAGIE,harmonized,OCCUP_F1_6,,,,1.0.0,,harmonized,occup_f1_0 -LifeCycle_CDM,core,occup_f1_7,,,,1.0.0,,core,occup_f1_0 -PELAGIE,harmonized,occup_f1_7,,,,1.0.0,,harmonized,occup_f1_0 -LifeCycle_CDM,core,occup_f1_8,,,,1.0.0,,core,occup_f1_0 -PELAGIE,harmonized,OCCUP_F1_8,,,,1.0.0,,harmonized,occup_f1_0 -LifeCycle_CDM,core,occup_f1_fath12,,,,1.0.0,,core,occup_f1_fath0 -LifeCycle_CDM,core,occup_f1_fath1,,,,1.0.0,,core,occup_f1_fath0 -LifeCycle_CDM,core,occup_f1_fath13,,,,1.0.0,,core,occup_f1_fath0 -LifeCycle_CDM,core,occup_f1_fath14,,,,1.0.0,,core,occup_f1_fath0 -LifeCycle_CDM,core,occup_f1_fath2,,,,1.0.0,,core,occup_f1_fath0 -LifeCycle_CDM,core,occup_f1_fath3,,,,1.0.0,,core,occup_f1_fath0 -LifeCycle_CDM,core,occup_f1_fath5,,,,1.0.0,,core,occup_f1_fath0 -LifeCycle_CDM,core,occup_f1_fath6,,,,1.0.0,,core,occup_f1_fath0 -LifeCycle_CDM,core,occup_f1_fath7,,,,1.0.0,,core,occup_f1_fath0 -LifeCycle_CDM,core,occup_f1_fath8,,,,1.0.0,,core,occup_f1_fath0 -LifeCycle_CDM,core,occup_m_1,,,,1.0.0,,core,occup_m_0 -LifeCycle_CDM,core,occup_m_12,,,,1.0.0,,core,occup_m_0 -LifeCycle_CDM,core,occup_m_13,,,,1.0.0,,core,occup_m_0 -LifeCycle_CDM,core,occup_m_14,,,,1.0.0,,core,occup_m_0 -LifeCycle_CDM,core,occup_m_2,,,,1.0.0,,core,occup_m_0 -LifeCycle_CDM,core,occup_m_3,,,,1.0.0,,core,occup_m_0 -LifeCycle_CDM,core,occup_m_5,,,,1.0.0,,core,occup_m_0 -LifeCycle_CDM,core,occup_m_6,,,,1.0.0,,core,occup_m_0 -LifeCycle_CDM,core,occup_m_7,,,,1.0.0,,core,occup_m_0 -LifeCycle_CDM,core,occup_m_8,,,,1.0.0,,core,occup_m_0 -LifeCycle_CDM,core,pets_1,,,,1.0.0,,core,pets_0 -LifeCycle_CDM,core,pets_12,,,,1.0.0,,core,pets_0 -LifeCycle_CDM,core,pets_13,,,,1.0.0,,core,pets_0 -LifeCycle_CDM,core,pets_14,,,,1.0.0,,core,pets_0 -LifeCycle_CDM,core,pets_2,,,,1.0.0,,core,pets_0 -LifeCycle_CDM,core,pets_3,,,,1.0.0,,core,pets_0 -LifeCycle_CDM,core,pets_5,,,,1.0.0,,core,pets_0 -LifeCycle_CDM,core,pets_6,,,,1.0.0,,core,pets_0 -LifeCycle_CDM,core,pets_7,,,,1.0.0,,core,pets_0 -LifeCycle_CDM,outcome,pulse_1,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_14,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_146,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_147,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_148,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_149,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_15,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_150,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_151,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_152,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_153,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_154,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_155,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_156,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_157,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulse_158,,,,1.0.0,,outcome,pulse_0 -LifeCycle_CDM,outcome,pulseage_1,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_14,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_146,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_147,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_148,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_149,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_15,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_150,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_151,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_152,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_153,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_154,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_155,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_156,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_157,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulseage_158,,,,1.0.0,,outcome,pulseage_0 -LifeCycle_CDM,outcome,pulsemessit_1,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_14,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_146,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_147,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_148,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_149,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_15,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_150,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_151,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_152,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_153,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_154,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_155,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_156,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_157,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,pulsemessit_158,,,,1.0.0,,outcome,pulsemessit_0 -LifeCycle_CDM,outcome,rash_10,,,,1.0.0,,outcome,rash_0 -LifeCycle_CDM,outcome,rash_1,,,,1.0.0,,outcome,rash_0 -LifeCycle_CDM,outcome,rash_11,,,,1.0.0,,outcome,rash_0 -LifeCycle_CDM,outcome,rash_12,,,,1.0.0,,outcome,rash_0 -LifeCycle_CDM,outcome,rash_13,,,,1.0.0,,outcome,rash_0 -LifeCycle_CDM,outcome,rash_14,,,,1.0.0,,outcome,rash_0 -LifeCycle_CDM,outcome,rash_5,,,,1.0.0,,outcome,rash_0 -LifeCycle_CDM,outcome,rash_6,,,,1.0.0,,outcome,rash_0 -LifeCycle_CDM,outcome,rash_7,,,,1.0.0,,outcome,rash_0 -LifeCycle_CDM,outcome,rash_8,,,,1.0.0,,outcome,rash_0 -LifeCycle_CDM,outcome,rash_9,,,,1.0.0,,outcome,rash_0 -LifeCycle_CDM,outcome,rash_loc_1,,,,1.0.0,,outcome,rash_loc_0 -LifeCycle_CDM,outcome,rash_loc_10,,,,1.0.0,,outcome,rash_loc_0 -LifeCycle_CDM,outcome,rash_loc_11,,,,1.0.0,,outcome,rash_loc_0 -LifeCycle_CDM,outcome,rash_loc_12,,,,1.0.0,,outcome,rash_loc_0 -LifeCycle_CDM,outcome,rash_loc_13,,,,1.0.0,,outcome,rash_loc_0 -LifeCycle_CDM,outcome,rash_loc_14,,,,1.0.0,,outcome,rash_loc_0 -LifeCycle_CDM,outcome,rash_loc_5,,,,1.0.0,,outcome,rash_loc_0 -LifeCycle_CDM,outcome,rash_loc_6,,,,1.0.0,,outcome,rash_loc_0 -LifeCycle_CDM,outcome,rash_loc_7,,,,1.0.0,,outcome,rash_loc_0 -LifeCycle_CDM,outcome,rash_loc_8,,,,1.0.0,,outcome,rash_loc_0 -LifeCycle_CDM,outcome,rash_loc_9,,,,1.0.0,,outcome,rash_loc_0 -ATHLETE_CDM,outcome_ath,rhinitis_1,,,,,,outcome_ath,rhinitis_0 -ATHLETE_CDM,outcome_ath,rhinitis_10,,,,,,outcome_ath,rhinitis_0 -ATHLETE_CDM,outcome_ath,rhinitis_11,,,,,,outcome_ath,rhinitis_0 -ATHLETE_CDM,outcome_ath,rhinitis_12,,,,,,outcome_ath,rhinitis_0 -ATHLETE_CDM,outcome_ath,rhinitis_13,,,,,,outcome_ath,rhinitis_0 -ATHLETE_CDM,outcome_ath,rhinitis_14,,,,,,outcome_ath,rhinitis_0 -ATHLETE_CDM,outcome_ath,rhinitis_5,,,,,,outcome_ath,rhinitis_0 -ATHLETE_CDM,outcome_ath,rhinitis_6,,,,,,outcome_ath,rhinitis_0 -ATHLETE_CDM,outcome_ath,rhinitis_7,,,,,,outcome_ath,rhinitis_0 -ATHLETE_CDM,outcome_ath,rhinitis_8,,,,,,outcome_ath,rhinitis_0 -ATHLETE_CDM,outcome_ath,rhinitis_9,,,,,,outcome_ath,rhinitis_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_1,,,,,,outcome_ath,rhinitis_sx_12m_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_10,,,,,,outcome_ath,rhinitis_sx_12m_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_11,,,,,,outcome_ath,rhinitis_sx_12m_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_12,,,,,,outcome_ath,rhinitis_sx_12m_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_13,,,,,,outcome_ath,rhinitis_sx_12m_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_14,,,,,,outcome_ath,rhinitis_sx_12m_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_5,,,,,,outcome_ath,rhinitis_sx_12m_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_6,,,,,,outcome_ath,rhinitis_sx_12m_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_7,,,,,,outcome_ath,rhinitis_sx_12m_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_8,,,,,,outcome_ath,rhinitis_sx_12m_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_9,,,,,,outcome_ath,rhinitis_sx_12m_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_1,,,,,,outcome_ath,rhinitis_sx_ever_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_10,,,,,,outcome_ath,rhinitis_sx_ever_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_11,,,,,,outcome_ath,rhinitis_sx_ever_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_12,,,,,,outcome_ath,rhinitis_sx_ever_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_13,,,,,,outcome_ath,rhinitis_sx_ever_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_14,,,,,,outcome_ath,rhinitis_sx_ever_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_5,,,,,,outcome_ath,rhinitis_sx_ever_0 -LifeCycle_CDM,core,smk_exp8,,,,1.0.0,,core,smk_exp0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_6,,,,,,outcome_ath,rhinitis_sx_ever_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_7,,,,,,outcome_ath,rhinitis_sx_ever_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_8,,,,,,outcome_ath,rhinitis_sx_ever_0 -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_9,,,,,,outcome_ath,rhinitis_sx_ever_0 -LifeCycle_CDM,outcome,sbpav_1,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_14,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_146,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_147,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_148,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_149,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_15,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_150,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_151,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_152,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_153,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_154,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_155,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_156,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_157,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sbpav_158,,,,1.0.0,,outcome,sbpav_0 -LifeCycle_CDM,outcome,sittinght_1,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_14,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_146,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_147,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_148,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_149,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_15,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_150,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_151,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_152,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_153,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_154,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_155,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_156,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_157,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinght_158,,,,1.0.0,,outcome,sittinght_0 -LifeCycle_CDM,outcome,sittinghtage_14,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_146,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_147,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_148,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_149,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_150,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_151,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_152,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_1,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_15,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_153,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_154,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_155,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_156,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_157,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtage_158,,,,1.0.0,,outcome,sittinghtage_0 -LifeCycle_CDM,outcome,sittinghtmes_14,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_146,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_147,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_148,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_149,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_150,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_151,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_152,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_153,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_154,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_1,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_15,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_155,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_156,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_157,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,outcome,sittinghtmes_158,,,,1.0.0,,outcome,sittinghtmes_0 -LifeCycle_CDM,core,smk_exp1,,,,1.0.0,,core,smk_exp0 -LifeCycle_CDM,core,smk_exp12,,,,1.0.0,,core,smk_exp0 -LifeCycle_CDM,core,smk_exp13,,,,1.0.0,,core,smk_exp0 -LifeCycle_CDM,core,smk_exp14,,,,1.0.0,,core,smk_exp0 -LifeCycle_CDM,core,smk_exp2,,,,1.0.0,,core,smk_exp0 -LifeCycle_CDM,core,smk_exp3,,,,1.0.0,,core,smk_exp0 -LifeCycle_CDM,core,smk_exp5,,,,1.0.0,,core,smk_exp0 -LifeCycle_CDM,core,smk_exp6,,,,1.0.0,,core,smk_exp0 -LifeCycle_CDM,core,smk_exp7,,,,1.0.0,,core,smk_exp0 -LifeCycle_CDM,core,smk_t2,,,,1.0.0,,core,smk_t1 -LifeCycle_CDM,core,smk_t3,,,,1.0.0,,core,smk_t1 -LifeCycle_CDM,outcome,subscapsf_1,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_14,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_146,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_147,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_148,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_149,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_15,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_150,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_151,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_152,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_153,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_154,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_155,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_156,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_157,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsf_158,,,,1.0.0,,outcome,subscapsf_0 -LifeCycle_CDM,outcome,subscapsfage_1,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_14,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_146,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_147,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_148,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_149,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_15,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_150,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_151,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_152,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_153,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_154,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_155,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_156,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_157,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfage_158,,,,1.0.0,,outcome,subscapsfage_0 -LifeCycle_CDM,outcome,subscapsfmes_14,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_146,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_147,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_148,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_149,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_150,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,core,weight_31,,,,1.0.0,,core,weight_0 -LifeCycle_CDM,outcome,subscapsfmes_151,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_1,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_15,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_152,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_153,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_154,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_155,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_156,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_157,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,subscapsfmes_158,,,,1.0.0,,outcome,subscapsfmes_0 -LifeCycle_CDM,outcome,tricepsf_1,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_14,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_146,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_147,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_148,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_149,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_15,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_150,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_151,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_152,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_153,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_154,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_155,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_156,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_157,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsf_158,,,,1.0.0,,outcome,tricepsf_0 -LifeCycle_CDM,outcome,tricepsfage_1,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_14,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_146,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_147,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_148,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_149,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_15,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_150,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_151,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_152,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_153,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_154,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_155,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_156,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_157,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfage_158,,,,1.0.0,,outcome,tricepsfage_0 -LifeCycle_CDM,outcome,tricepsfmes_146,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_147,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_148,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_14,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_149,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_150,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_151,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_1,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_15,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_152,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,core,weight_149,,,,1.0.0,,core,weight_0 -LifeCycle_CDM,outcome,tricepsfmes_153,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_154,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_155,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_156,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_157,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,tricepsfmes_158,,,,1.0.0,,outcome,tricepsfmes_0 -LifeCycle_CDM,outcome,triglycerides_1,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_14,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_146,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_147,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_148,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_149,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_15,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_150,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_151,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_152,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_153,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_154,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_155,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_156,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_157,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglycerides_158,,,,1.0.0,,outcome,triglycerides_0 -LifeCycle_CDM,outcome,triglyceridesage_14,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_146,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_147,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_148,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_149,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_150,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_151,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_152,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_153,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_1,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_15,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_154,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_155,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_156,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_157,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesage_158,,,,1.0.0,,outcome,triglyceridesage_0 -LifeCycle_CDM,outcome,triglyceridesmes_1,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_14,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_146,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_147,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_148,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_149,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_15,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_150,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_151,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_152,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_153,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_154,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_155,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_156,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_157,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,triglyceridesmes_158,,,,1.0.0,,outcome,triglyceridesmes_0 -LifeCycle_CDM,outcome,URTI_1,,,,1.0.0,,outcome,URTI_0 -LifeCycle_CDM,outcome,waistcirc_1,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_14,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_146,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_147,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_148,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_149,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_15,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_150,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_151,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_152,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_153,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_154,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_155,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_156,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_157,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcirc_158,,,,1.0.0,,outcome,waistcirc_0 -LifeCycle_CDM,outcome,waistcircage_146,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_147,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_1,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_14,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_148,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_149,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_150,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_151,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_152,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_15,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_153,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_154,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_155,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_156,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_157,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircage_158,,,,1.0.0,,outcome,waistcircage_0 -LifeCycle_CDM,outcome,waistcircmes_146,,,,1.0.0,,outcome,waistcircmes_0 -LifeCycle_CDM,outcome,waistcircmes_147,,,,1.0.0,,outcome,waistcircmes_0 -LifeCycle_CDM,outcome,waistcircmes_148,,,,1.0.0,,outcome,waistcircmes_0 -LifeCycle_CDM,outcome,waistcircmes_14,,,,1.0.0,,outcome,waistcircmes_0 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-LifeCycle_CDM,outcome,whe_11,,,,1.0.0,,outcome,whe_0 -LifeCycle_CDM,outcome,whe_12,,,,1.0.0,,outcome,whe_0 -LifeCycle_CDM,outcome,whe_13,,,,1.0.0,,outcome,whe_0 -LifeCycle_CDM,outcome,whe_14,,,,1.0.0,,outcome,whe_0 -LifeCycle_CDM,outcome,whe_5,,,,1.0.0,,outcome,whe_0 -LifeCycle_CDM,outcome,whe_6,,,,1.0.0,,outcome,whe_0 -LifeCycle_CDM,outcome,whe_7,,,,1.0.0,,outcome,whe_0 -LifeCycle_CDM,outcome,whe_8,,,,1.0.0,,outcome,whe_0 -LifeCycle_CDM,outcome,whe_9,,,,1.0.0,,outcome,whe_0 -LifeCycle_CDM,outcome,wm_age_5,,,,1.0.0,,outcome,wm_age_0 -LifeCycle_CDM,outcome,wm_age_6,,,,1.0.0,,outcome,wm_age_0 -LifeCycle_CDM,outcome,wm_avg_5,,,,1.0.0,,outcome,wm_avg_0 -LifeCycle_CDM,outcome,wm_avg_6,,,,1.0.0,,outcome,wm_avg_0 -LifeCycle_CDM,outcome,wm_eval_5,,,,1.0.0,,outcome,wm_eval_0 -LifeCycle_CDM,outcome,wm_eval_6,,,,1.0.0,,outcome,wm_eval_0 -LifeCycle_CDM,outcome,wm_instr_5,,,,1.0.0,,outcome,wm_instr_0 -LifeCycle_CDM,outcome,wm_instr_6,,,,1.0.0,,outcome,wm_instr_0 -LifeCycle_CDM,outcome,wm_pc_6,,,,1.0.0,,outcome,wm_pc_0 -LifeCycle_CDM,outcome,wm_pro_5,,,,1.0.0,,outcome,wm_pro_0 -LifeCycle_CDM,outcome,wm_pro_6,,,,1.0.0,,outcome,wm_pro_0 -LifeCycle_CDM,outcome,wm_raw_5,,,,1.0.0,,outcome,wm_raw_0 -LifeCycle_CDM,outcome,wm_raw_6,,,,1.0.0,,outcome,wm_raw_0 -LifeCycle_CDM,outcome,wm_std_6,,,,1.0.0,,outcome,wm_std_0 -PELAGIE,pelagie_q2,B77,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B81,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B85,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B89,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B93,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B97,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,b69,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,b73,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,b61,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,b65,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,b77,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,b81,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,b85,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,b89,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,b25,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,b37,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,b53,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,b93,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q6,QS6_B1_date_9_mois,,,,1.0.0,,pelagie_q6,QS6_B1_date_4_mois -PELAGIE,pelagie_q6,QS6_B1_date_24_mois,,,,1.0.0,,pelagie_q6,QS6_B1_date_4_mois -PELAGIE,pelagie_q6,QS6_B1_date_3_ans,,,,1.0.0,,pelagie_q6,QS6_B1_date_4_mois -PELAGIE,pelagie_q6,QS6_B1_date_4_ans,,,,1.0.0,,pelagie_q6,QS6_B1_date_4_mois -PELAGIE,pelagie_q6,QS6_B1_date_5_ans,,,,1.0.0,,pelagie_q6,QS6_B1_date_4_mois -PELAGIE,pelagie_q6,QS6_B1_date_6_ans,,,,1.0.0,,pelagie_q6,QS6_B1_date_4_mois -PELAGIE,pelagie_q6,QS6_B1_poids_9_mois,,,,1.0.0,,pelagie_q6,QS6_B1_poids_4_mois -PELAGIE,pelagie_q6,QS6_B1_poids_24_mois,,,,1.0.0,,pelagie_q6,QS6_B1_poids_4_mois -PELAGIE,pelagie_q6,QS6_B1_poids_3_ans,,,,1.0.0,,pelagie_q6,QS6_B1_poids_4_mois -PELAGIE,pelagie_q6,QS6_B1_poids_4_ans,,,,1.0.0,,pelagie_q6,QS6_B1_poids_4_mois -PELAGIE,pelagie_q6,QS6_B1_poids_5_ans,,,,1.0.0,,pelagie_q6,QS6_B1_poids_4_mois -PELAGIE,pelagie_q6,QS6_B1_poids_6_ans,,,,1.0.0,,pelagie_q6,QS6_B1_poids_4_mois -PELAGIE,pelagie_q6,QS6_B1_taille_9_mois,,,,1.0.0,,pelagie_q6,QS6_B1_taille_4_mois -PELAGIE,pelagie_q6,QS6_B1_taille_24_mois,,,,1.0.0,,pelagie_q6,QS6_B1_taille_4_mois -PELAGIE,pelagie_q6,QS6_B1_taille_3_ans,,,,1.0.0,,pelagie_q6,QS6_B1_taille_4_mois -PELAGIE,pelagie_q6,QS6_B1_taille_4_ans,,,,1.0.0,,pelagie_q6,QS6_B1_taille_4_mois -PELAGIE,pelagie_q2,B68,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q6,QS6_B1_taille_5_ans,,,,1.0.0,,pelagie_q6,QS6_B1_taille_4_mois -PELAGIE,pelagie_q6,QS6_B1_taille_6_ans,,,,1.0.0,,pelagie_q6,QS6_B1_taille_4_mois -PELAGIE,pelagie_q2,B25,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B37,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B53,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B61,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B65,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B69,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B73,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B98,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B99,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B100,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q6,QS6_B1_DATE_9_MOIS,,,,1.0.0,,pelagie_q6,QS6_B1_DATE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_DATE_24_MOIS,,,,1.0.0,,pelagie_q6,QS6_B1_DATE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_DATE_3_ANS,,,,1.0.0,,pelagie_q6,QS6_B1_DATE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_DATE_4_ANS,,,,1.0.0,,pelagie_q6,QS6_B1_DATE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_DATE_5_ANS,,,,1.0.0,,pelagie_q6,QS6_B1_DATE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_DATE_6_ANS,,,,1.0.0,,pelagie_q6,QS6_B1_DATE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_POIDS_9_MOIS,,,,1.0.0,,pelagie_q6,QS6_B1_POIDS_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_POIDS_24_MOIS,,,,1.0.0,,pelagie_q6,QS6_B1_POIDS_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_POIDS_3_ANS,,,,1.0.0,,pelagie_q6,QS6_B1_POIDS_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_POIDS_4_ANS,,,,1.0.0,,pelagie_q6,QS6_B1_POIDS_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_POIDS_5_ANS,,,,1.0.0,,pelagie_q6,QS6_B1_POIDS_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_POIDS_6_ANS,,,,1.0.0,,pelagie_q6,QS6_B1_POIDS_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_TAILLE_9_MOIS,,,,1.0.0,,pelagie_q6,QS6_B1_TAILLE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_TAILLE_24_MOIS,,,,1.0.0,,pelagie_q6,QS6_B1_TAILLE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_TAILLE_3_ANS,,,,1.0.0,,pelagie_q6,QS6_B1_TAILLE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_TAILLE_4_ANS,,,,1.0.0,,pelagie_q6,QS6_B1_TAILLE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_TAILLE_5_ANS,,,,1.0.0,,pelagie_q6,QS6_B1_TAILLE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_TAILLE_6_ANS,,,,1.0.0,,pelagie_q6,QS6_B1_TAILLE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_PERIMETRE_9_MOIS,,,,1.0.0,,pelagie_q6,QS6_B1_PERIMETRE_4_MOIS -PELAGIE,pelagie_q6,QS6_B1_PERIMETRE_24_MOIS,,,,1.0.0,,pelagie_q6,QS6_B1_PERIMETRE_4_MOIS -Sepages,base_respi_enfant_20210326,cy3haw1_q01,,Sepages,Y3,1.0.0,,base_respi_enfant_20210326,cy1hai2_q01 -Sepages,base_respi_enfant_20210326,cy2hai3_q02,,Sepages,Y2,1.0.0,,base_respi_enfant_20210326,cy1hai2_q02 -Sepages,base_respi_enfant_20210326,cy3haw1_q02,,Sepages,Y3,1.0.0,,base_respi_enfant_20210326,cy1hai2_q02 -Sepages,bdd_1a_v1_1,cy1eas2_q02,,Sepages,Y1,1.0.0,,bdd_1a_v1_1,cy1eas1_q02 -Sepages,base_respi_enfant_20210326,cy2hai3_q01,,Sepages,Y2,1.0.0,,base_respi_enfant_20210326,cy1hai2_q01 -Sepages,base_respi_enfant_20210326,cy2hai3_q04,,Sepages,Y2,1.0.0,,base_respi_enfant_20210326,cy1hai2_q04 -Sepages,base_respi_enfant_20210326,cy3haw1_q04,,Sepages,Y3,1.0.0,,base_respi_enfant_20210326,cy1hai2_q04 -PELAGIE,pelagie_q2,b33,,,,1.0.0,,pelagie_q2,b21 -Sepages,base_respi_enfant_20210326,cy2hai3_q05,,Sepages,Y2,1.0.0,,base_respi_enfant_20210326,cy1hai2_q05 -Sepages,base_respi_enfant_20210326,cy3haw1_q05,,Sepages,Y3,1.0.0,,base_respi_enfant_20210326,cy1hai2_q05 -Sepages,base_respi_enfant_20210326,cy2hai3_q06,,Sepages,Y2,1.0.0,,base_respi_enfant_20210326,cy1hai2_q06 -Sepages,base_respi_enfant_20210326,cy2hai3_q07,,Sepages,Y3,1.0.0,,base_respi_enfant_20210326,cy1hai2_q07 -Sepages,base_respi_enfant_20210326,cy3haw1_q06,,Sepages,Y2,1.0.0,,base_respi_enfant_20210326,cy1hai2_q07 -Sepages,base_respi_enfant_20210326,cy2hai3_q08,,Sepages,Y2,1.0.0,,base_respi_enfant_20210326,cy1hai2_q08 -Sepages,base_respi_enfant_20210326,cy3haw1_q07,,Sepages,Y3,1.0.0,,base_respi_enfant_20210326,cy1hai2_q08 -Sepages,base_respi_enfant_20210326,cy2hai3_q09,,Sepages,Y2,1.0.0,,base_respi_enfant_20210326,cy1hai2_q09 -Sepages,base_respi_enfant_20210326,cy3haw1_q10,,Sepages,Y3,1.0.0,,base_respi_enfant_20210326,cy1hai2_q09 -Sepages,base_respi_enfant_20210326,cy2hai3_q11,,Sepages,Y2,1.0.0,,base_respi_enfant_20210326,cy1hai2_q11 -Sepages,base_respi_enfant_20210326,cy3haw1_q12,,Sepages,Y3,1.0.0,,base_respi_enfant_20210326,cy1hai2_q11 -Sepages,Ultrasound_all_SLC_20220428_893,lcc_T1_2,,Sepages,Prenatal,1.0.0,,Ultrasound_all_SLC_20220428_893,lcc_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,lcc_T1_3,,Sepages,T1,1.0.0,,Ultrasound_all_SLC_20220428_893,lcc_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_2,,Sepages,T1,1.0.0,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_3,,Sepages,T1,1.0.0,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T2_2,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T2_3,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T2_4,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T3_2,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T3_3,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T3_4,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T3_5,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 -PELAGIE,pelagie_q2,B46,,,,1.0.0,,pelagie_q2,B22 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_2,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_3,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T2_2,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T2_3,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T2_4,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T3_2,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T3_3,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T3_4,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T3_5,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_2,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 -PELAGIE,pelagie_q2,b55,,,,1.0.0,,pelagie_q2,b23 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_3,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T2_2,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T2_3,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T2_4,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T3_2,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T3_3,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T3_4,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T3_5,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_2,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_3,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T2_2,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 -PELAGIE,pelagie_q2,B57,,,,1.0.0,,pelagie_q2,B21 -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T2_3,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T2_4,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T3_2,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T3_3,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T3_4,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T3_5,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T3_1,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T2_1,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T3_1,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T2_1,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 -LifeCycle_CDM,core,occup_f1_5,,,,1.0.0,,core,occup_f1_0 -PELAGIE,harmonized,occup_f1_5,,,,1.0.0,,harmonized,occup_f1_0 -PELAGIE,harmonized,OCCUP_F1_5,,,,1.0.0,,harmonized,occup_f1_0 -Sepages,bdd_grossesse_v5_1,mt3haf1_q04,,Sepages,T3,1.0.0,,bdd_grossesse_v5_1,mt1haa1_q40p7 -Sepages,bdd_grossesse_v5_1,mt3haf1_q01,,Sepages,T3,1.0.0,,bdd_grossesse_v5_1,mt1haa1_q40p1 -Sepages,bdd_grossesse_v5_1,mt3haf1_q02,,Sepages,T3,1.0.0,,bdd_grossesse_v5_1,mt1haa1_q40p5 -Sepages,bdd_grossesse_v5_1,mt2ean2_q167p1,,Sepages,T2,1.0.0,,bdd_grossesse_v5_1,mt1ean1_q167p1 -Sepages,bdd_grossesse_v5_1,mt3ean3_q167p1,,Sepages,T3,1.0.0,,bdd_grossesse_v5_1,mt1ean1_q167p1 -Sepages,bdd_grossesse_v5_1,mt2ean2_q167p2,,Sepages,T2,1.0.0,,bdd_grossesse_v5_1,mt1ean1_q167p2 -Sepages,bdd_grossesse_v5_1,mt3ean3_q167p2,,Sepages,T3,1.0.0,,bdd_grossesse_v5_1,mt1ean1_q167p2 -Sepages,bdd_grossesse_v5_1,mt2ean2_q167p3,,Sepages,T2,1.0.0,,bdd_grossesse_v5_1,mt1ean1_q167p3 -Sepages,bdd_grossesse_v5_1,mt3ean3_q167p3,,Sepages,T3,1.0.0,,bdd_grossesse_v5_1,mt1ean1_q167p3 -Sepages,bdd_grossesse_v5_1,mt2ean2_q167p4,,Sepages,T2,1.0.0,,bdd_grossesse_v5_1,mt1ean1_q167p4 -Sepages,bdd_grossesse_v5_1,mt3ean3_q167p4,,Sepages,T3,1.0.0,,bdd_grossesse_v5_1,mt1ean1_q167p4 -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T3_1,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T2_1,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 -Sepages,bdd_2a_v_1_0,cy2eas3_q02,,Sepages,Y2,1.0.0,,bdd_1a_v1_1,cy1eas1_q02 -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T3_1,,Sepages,T3,1.0.0,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T2_1,,Sepages,T2,1.0.0,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 -PELAGIE,pelagie_q2,b59,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,B59,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,b58,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,B58,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,b57,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,B55,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B56,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,b49,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,b50,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b51,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,B49,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B50,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B51,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B33,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B30,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,b30,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b31,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,B31,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B32,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,b29,,,,1.0.0,,pelagie_q2,b21 -PELAGIE,pelagie_q2,B29,,,,1.0.0,,pelagie_q2,B21 -PELAGIE,pelagie_q2,B28,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,B36,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,B40,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,B52,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,B60,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,B72,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,B76,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,B80,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,B84,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,B88,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,B92,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,B96,,,,1.0.0,,pelagie_q2,B24 -PELAGIE,pelagie_q2,b27,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b35,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b39,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b43,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b47,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b63,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b67,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b71,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b75,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b79,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b83,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b87,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b91,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,b95,,,,1.0.0,,pelagie_q2,b23 -PELAGIE,pelagie_q2,B27,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B35,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B39,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B43,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B47,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B63,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B67,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B71,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B75,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B79,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B83,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B87,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B91,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B95,,,,1.0.0,,pelagie_q2,B23 -PELAGIE,pelagie_q2,B26,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B34,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B38,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B42,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,b26,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b34,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b38,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b42,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b54,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b62,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b66,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b70,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b74,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b78,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b82,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b86,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b90,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,b94,,,,1.0.0,,pelagie_q2,b22 -PELAGIE,pelagie_q2,B54,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B62,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B66,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B70,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B74,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B78,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B82,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B86,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B90,,,,1.0.0,,pelagie_q2,B22 -PELAGIE,pelagie_q2,B94,,,,1.0.0,,pelagie_q2,B22 -LifeCycle_CDM,outcome,dbp_16,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_19,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_1,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_2,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_3,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_4,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_5,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_6,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_7,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_8,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_9,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_10,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_11,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_12,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_13,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_14,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_15,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_17,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_18,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_20,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_21,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_22,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_23,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_24,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_25,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_26,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_27,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_28,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_29,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_30,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_31,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_32,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_33,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_34,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_35,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_36,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_37,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_38,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_39,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_40,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_41,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_42,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_43,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_44,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_45,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_46,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_47,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_48,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_49,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_50,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_51,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_52,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_53,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_54,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_55,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_56,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_57,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_58,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_59,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_60,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_61,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_62,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_63,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_64,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_65,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_66,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_67,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_68,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_69,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_70,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_71,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_72,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_73,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_74,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_75,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_76,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_77,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_78,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_79,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_80,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_81,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_82,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_83,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_84,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_85,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_86,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_87,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_88,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_89,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_90,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_91,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_92,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_93,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_94,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_95,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_96,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_97,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_98,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_99,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_100,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_101,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_102,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_103,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_104,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_105,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_106,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_107,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_108,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_109,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_110,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_111,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_112,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_113,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_114,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_115,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_116,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_117,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_118,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_119,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_120,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_121,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_122,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_123,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_124,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_125,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_126,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_127,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_128,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_129,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_130,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_131,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_132,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_133,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_134,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_135,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_136,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_137,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_138,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_139,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_140,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_141,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_142,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_143,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_144,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_145,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_146,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_147,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_148,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_149,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_150,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_151,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_152,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_153,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_154,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_155,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_156,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_157,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_158,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_159,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_160,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_161,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_162,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_163,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_164,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_165,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_166,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_167,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_168,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_169,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_170,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_171,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_172,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_173,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_174,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_175,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_176,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_177,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_178,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_179,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_180,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_181,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_182,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_183,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_184,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_185,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_186,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_187,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_188,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_189,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_190,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_191,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_192,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_193,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_194,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_195,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_196,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_197,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_198,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_199,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_200,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_201,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_202,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_203,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_204,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_205,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_206,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_207,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_208,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_209,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_210,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_211,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_212,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_213,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_214,,,,1.0.0,,outcome,dbp_0 -LifeCycle_CDM,outcome,dbp_215,,,,1.0.0,,outcome,dbp_0 -testNetwork1_CDM,cdm_1,testVarRepeats_1,,,,,,cdm_1,testVarRepeats_ -testNetwork1_CDM,cdm_1,testVarRepeats_2,,,,,,cdm_1,testVarRepeats_ -testNetwork1_CDM,cdm_1,testVarRepeats_3,,,,,,cdm_1,testVarRepeats_ -testNetwork1_CDM,cdm_1,testVarRepeats_4,,,,,,cdm_1,testVarRepeats_ -testNetwork1_CDM,cdm_1,testVarRepeats_5,,,,,,cdm_1,testVarRepeats_ -testNetwork1_CDM,cdm_1,testVarRepeats_6,,,,,,cdm_1,testVarRepeats_ -testNetwork1_CDM,cdm_1,testVarRepeats_7,,,,,,cdm_1,testVarRepeats_ -testNetwork1_CDM,cdm_1,testVarRepeats_8,,,,,,cdm_1,testVarRepeats_ -testNetwork1_CDM,cdm_1,testVarRepeats_9,,,,,,cdm_1,testVarRepeats_ -testNetwork1_CDM,cdm_1,testVarRepeats_10,,,,,,cdm_1,testVarRepeats_ -testNetwork1_CDM,cdm_1,testVarRep-with-looong-name_1,,,,,,cdm_1,testVarRep-with-looong-name_ -testNetwork1_CDM,cdm_1,testVarRep-with-looong-name_2,,,,,,cdm_1,testVarRep-with-looong-name_ -testNetwork1_CDM,cdm_1,testVarRep-with-looong-name_3,,,,,,cdm_1,testVarRep-with-looong-name_ -testNetwork1_CDM,cdm_1,testVarRep-with-looong-name_4,,,,,,cdm_1,testVarRep-with-looong-name_ -testNetwork1_CDM,cdm_1,testVarRep-with-looong-name_5,,,,,,cdm_1,testVarRep-with-looong-name_ -testNetwork1_CDM,cdm_1,testVarRep-with-looong-name_6,,,,,,cdm_1,testVarRep-with-looong-name_ -testNetwork1_CDM,cdm_1,testVarRep-with-looong-name_7,,,,,,cdm_1,testVarRep-with-looong-name_ -testNetwork1_CDM,cdm_1,testVarRep-with-looong-name_8,,,,,,cdm_1,testVarRep-with-looong-name_ -testNetwork1_CDM,cdm_1,testVarRep-with-looong-name_9,,,,,,cdm_1,testVarRep-with-looong-name_ -testNetwork1_CDM,cdm_1,testVarRep-with-looong-name_10,,,,,,cdm_1,testVarRep-with-looong-name_ diff --git a/data/_demodata/applications/datacatalogue/Studies.csv b/data/_demodata/applications/datacatalogue/Studies.csv deleted file mode 100644 index 848bb91e3f..0000000000 --- a/data/_demodata/applications/datacatalogue/Studies.csv +++ /dev/null @@ -1,17 +0,0 @@ -id,pid,acronym,name,type,type other,website,lead organisation,additional organisations,description,status,logo,logo_filename,countries,publications,funding scheme,funding statement,acknowledgements,networks,networks other,study requirements,regulatory procedure number,date of signing funding contract planned,date of signing funding contract actual,collection start planned,collection start actual,analysis start planned,analysis start actual,interim report planned,interim report actual,final report planned,final report actual,data sources,data sources other,databanks,databanks other,cohorts,study features,data characterisation details,data source types,data source types other,quality marks,number of data sources,medicines studied INN codes,medicines studied ATC codes,medicines studies brands,medicines studied other,medical conditions studied,medical conditions studied other,data extraction date,study setting,analysis plan,population description,number of subjects,age groups,objectives,interventions,comparators,outcomes,study design,results,topic,topic other,trial regulatory scope,study design classification,study design classification other,study scope,study scope other,population of interest,population of interest other -ADVANCE Coverage POC,,ADVANCE Coverage POC,ADVANCE POC Study Protocol - Testing new approaches to monitoring benefit/risk with pertussis vaccines as test case. Coverage rates of acellular and whole-cell pertussis-containing vaccines in preschool children,,,,SSI,,,,,,,,,,,,,,,,,,,,,,,,,"DHL,ABL,EUROCAT NNL",,,,testCohort1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -DRIVE 2019/20,,DRIVE 2019/20,"Brand-specific influenza vaccine effectiveness in Europe, season 2019/20",,,,,,,,,,,,,,,,,,,,,,,,,,,,,"DHL,ABL,EUROCAT NNL",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -PASS,,PASS,A prospective observational study to assess effectiveness of the training and risk minimisation measures recommended for the usage of the diagnostic agent NeuraCeqTM in the post-authorisation clinical situation: A post-authorisation safety study,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -DAHLIA,,DAHLIA,A retrospective nationwide cohort study to investigate the treatment of type 2 diabetic patients in Finland,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -FinACAF,,FinACAF,Finnish AntiCoagulation in Atrial Fibrillation,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -OPTI,,OPTI,"Non-interventional, cross-sectional, multicenter study to describe the exacerbations profile of COPD patients Treated with ICS in a real-life primary care population in Spain.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -IPF,,IPF,Observational Analysis on the Socio-economic Impact of Idiopathic Pulmonary Fibrosis in Spain.,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -LEMS,,LEMS,Lambert-Eaton Myasthenic Syndrome (LEMS) Registry,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -FEIBA-GO,,FEIBA-GO,FEIBA NF GLOBAL OUTCOME STUDY,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -ARISE,,ARISE,Aortic Replacement using Individualised Regenerative Allografts: Bridging the Therapeutic Gap,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"DHL,ABL,EUROCAT NNL",,,,testCohort1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -INSPECT,,INSPECT,A retrospectIve chart review study evaluatiNg the longer-term effectiveneSs of darvadstrocel in PatiEnts who CompleTed ADMIRE-CD,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"DHL,ABL,EUROCAT NNL",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -LEONARDO,,LEONARDO,"Utilization patterns, access to healthcare facilities and economic assessment of JAKi drugs used in rheumatoid arthritis patients in Tuscany",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -ACCESS,,ACCESS,vACcine Covid-19 monitoring readinESS,,,,UMCU,"PHARMO.I,UMCU,UM,LIPRE,JORDIGOL,UB","This listing includes the four different safety protocol templates to monitor COVID-19 vaccine safety. These protocols were prepared on request of EMA and have been reviewed by EMA and stakeholders. Protocols require finalization by the final users and are not conducted as such. This registration includes the following protocols: 1. Cohort event monitoring to assess safety of COVID-19 vaccines using patient reported events, a protocol template from the ACCESS project 2. Rapid assessment of COVID-19 vaccines safety concerns through electronic health records: a protocol template from the ACCESS project 3. Safety evaluation of COVID-19 vaccines through electronic health records: a protocol template from the ACCESS project 4. Safety Protocol for Hospital Case–Based Monitoring of Specific Adverse Events Following COVID-19 Vaccines: A Protocol Template from the ACCESS project Section 19 includes the template protocols. Word documents can be retrieved from study authors or PI. Section 19 includes the final ACCESS report with feasibility assessment",,,,,,,,,,,,,,,,,,,,,,,"DHL,ABL,EUROCAT NNL",,,,testCohort1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -THALIA,,THALIA,A retrospective cohort study to investigate the initiation and persistence of dual antiplatelet treatment after acute coronary syndrome in a Finnish setting,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,testCohort2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -PERSEUS,,PERSEUS,Risk of subsequent cardiovascular events in patients discharged after myocardial infarction,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -SSc-ILD,,SSc-ILD,A Phase I trial to investigate the effect of nintedanib on the pharmacokinetics of a combination of ethinylestradiol and levonorgestrel in female patients with Systemic Sclerosis associated Interstitial Lung Disease,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, diff --git a/data/_demodata/applications/datacatalogue/Variable mappings.csv b/data/_demodata/applications/datacatalogue/Variable mappings.csv deleted file mode 100644 index 0d4cfe94ae..0000000000 --- a/data/_demodata/applications/datacatalogue/Variable mappings.csv +++ /dev/null @@ -1,27441 +0,0 @@ -source,source dataset,source variables,source variables other datasets.dataset,source variables other datasets.name,target,target dataset,target variable,match,status,description,syntax,comments -GenR,core,,,,LifeCycle_CDM,outcome,dbp_18,na,,,, -NFBC1966,core,,,,LifeCycle_CDM,core,agebirth_m_y,complete,final,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_182,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_183,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_45,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_35,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_153,na,,,, -PELAGIE,harmonized,ADHD_EVAL_7,,,LifeCycle_CDM,outcome,adhd_eval_7,complete,final,,eval=2;, -PELAGIE,pelagie_q0,M37,,,LifeCycle_CDM,core,plac_weight,complete,final,,plac_weight=m37;, -SPF,SPF,codfarm,,,OOM_CDM,MEDICINES,medicinal_product_id,complete,,,, -PELAGIE,harmonized,INT_EVAL_13,,,LifeCycle_CDM,outcome,int_eval_13,complete,final,,eval=2;, -PELAGIE,harmonized,DIETASS_SCH,,,LifeCycle_CDM,core,dietass_sch,complete,final,,dietass_sch=1;, -PELAGIE,harmonized,INT_EVAL_14,,,LifeCycle_CDM,outcome,int_eval_14,complete,final,,eval=2;, -PELAGIE,harmonized,EXT_EVAL_6,,,LifeCycle_CDM,outcome,ext_eval_6,complete,final,,eval=2;, -RMR,RMR,,,,OOM_CDM,SURVEY_OBSERVATIONS,so_source_column,complete,,As specified above,, -SPA,SPA,codpres,,,OOM_CDM,PROCEDURES,procedure_code,complete,,,, -COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM_CDM,PRODUCTS,subst1_atc_code,complete,,,, -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_59,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_60,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_61,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_164,complete,final,,/* too long to be provided and many case by case situations */, -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_62,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_63,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_64,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_65,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_153,complete,final,,cholmes_153=0;, -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_66,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_67,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_68,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_69,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_70,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_199,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_201,na,,,, -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_71,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_72,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_73,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_214,na,,,, -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_74,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_75,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_76,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_14,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_184,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_12,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_202,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_203,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_205,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_54,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_195,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_193,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_194,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_215,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_192,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_38,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_206,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_39,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_47,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_48,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_196,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_55,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_49,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_204,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_209,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_213,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_198,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_200,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_210,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_211,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_212,na,,,, -PELAGIE,harmonized,TRICEPSFMES_0,,,LifeCycle_CDM,outcome,tricepsfmes_149,complete,final,,tricepsfmes_149=0;, -PELAGIE,pelagie_q0,"M28,M34",,,LifeCycle_CDM,core,birth_head_circum,complete,final,,"birth_head_circum=m28; -if m22 eq 2 and p1 eq 2 then birth_head_circum=m34;", -PELAGIE,pelagie_q0,MALFO,,,LifeCycle_CDM,core,con_anomalies,complete,final,,"con_anomalies =Malfo; -if con_anomalies ge 1 then con_anomalies=1;", -PELAGIE,harmonized,DEATH_M,,,LifeCycle_CDM,core,death_m,partial,final,non-exhaustive information,from free text,non-exhaustive information -PELAGIE,pelagie_q2,"B128,B129",,,ATHLETE_CDM,outcome_ath,n_wheezing_12m_0,complete,final,,"if b128=0 then do; b129=0; b130=0; end; -n_wheezing_12m_0=b129;", -PELAGIE,pelagie_q2,"B128,B130",,,ATHLETE_CDM,outcome_ath,n_wheezing_12m_1,complete,final,,"if b128=0 then do; b129=0; b130=0; end; -n_wheezing_12m_1=b130;", -PELAGIE,BDD_ethers,MEAA_ENFANT,,,ATHLETE_CDM,chemicals_ath,c_meaa_raw_6,complete,final,,BDD_ethers$c_meaa_raw_6<-BDD_ethers$MEAA_enfant, -PELAGIE,harmonized,OCCUP_F1_14,,,LifeCycle_CDM,core,occup_f1_fath14,partial,final,Biological father by default,if occup_f1_14 ne . then occup_f1_fath14=1;,Biological father by default -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_150,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_151,complete,final,,/* too long to be provided and many case by case situations */, -SPF,SPF,,,,OOM_CDM,MEDICINES,product_lot_number,complete,,,, -SPF,SPF,iduni,,,OOM_CDM,MEDICINES,person_id,complete,,,, -VCN,VCN,,,,OOM_CDM,VACCINES,origin_of_vx_record,complete,,‘VCN’,, -SPF,SPF,dataero,,,OOM_CDM,MEDICINES,date_dispensing,complete,,,, -SPF,SPF,,,,OOM_CDM,MEDICINES,date_prescription,complete,,Leave empty,, -PELAGIE,pelagie_q0,MALFO,,,LifeCycle_CDM,core,major_con_anomalies,complete,final,,"if malfo eq 1 then major_con_anomalies=1; -else if malfo in (0,2,9) then major_con_anomalies=0;", -PELAGIE,harmonized,INT_INSTR_11,,,LifeCycle_CDM,outcome,int_instr_11,complete,final,,instr=47;, -PELAGIE,harmonized,INT_INSTR_12,,,LifeCycle_CDM,outcome,int_instr_12,complete,final,,instr=47;, -PELAGIE,harmonized,PREG_NO,,,LifeCycle_CDM,core,preg_no,complete,final,Only 1 pregnancy per mother,preg_no = 1,Only 1 pregnancy per mother -PELAGIE,harmonized,CHILD_ID,,,LifeCycle_CDM,core,child_id,complete,final,,child_id = mother_id*1000 + child_no, -PELAGIE,harmonized,COHORT_ID,,,LifeCycle_CDM,core,cohort_id,complete,final,,cohort_id = 127, -PELAGIE,pelagie_q0,V4,maj_ddn_2021,DDN_2021,LifeCycle_CDM,core,recruit_age,complete,final,,recruit_age = v4 - ddn_2021;, -SPF,SPF,,,,OOM_CDM,MEDICINES,meaning_of_drug_record,complete,,,, -PELAGIE,BDD_cotinine,"COTININE,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_cotinine_raw_t1,complete,final,,"BDD_cotinine$m_cotinine_raw_t1<-ifelse(!is.na(BDD_cotinine$COTININE) & BDD_cotinine$SGurineF<=10,BDD_cotinine$COTININE,NA)", -PELAGIE,harmonized,ADHD_EVAL_3,,,LifeCycle_CDM,outcome,adhd_eval_3,complete,final,,eval=2;, -RMR,RMR,,,,OOM_CDM,SURVEY_ID,survey_id,complete,,As specified above,, -Sepages,bdd_grossesse_v5_1,"po_datedel,mo_bd",,,LifeCycle_CDM,core,agebirth_m_y,complete,final,,agebirth_m_y=YEAR(po_datedel)-YEAR(mo_bd);, -NFBC1966,core,,,,LifeCycle_CDM,core,plurality,complete,final,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_2,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -ENVIRONAGE,bloodpressure after birth,"DBP3B,DBP4B,DBP5B",,,LifeCycle_CDM,outcome,dbp_0,complete,,,"data$dbp_0<-rowMeans(data[,c(""DBP1B"", ""DBP3B"",""DBP4B"",""DBP5B"")]", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_48,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_49,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_50,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_51,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_52,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_53,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_54,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_55,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_56,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_57,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -ENVIRONAGE,measurements at FU1,"DBP1FU1,Age_FU",,,LifeCycle_CDM,outcome,dbp_58,complete,,,"data$dbp_x<-ifelse(!is.na(data$DBP1FU1) & data$Age_FU ==x ,data$DBP1FU1,NA)", -PELAGIE,harmonized,COH_COUNTRY,,,LifeCycle_CDM,core,coh_country,complete,final,,coh_country=250, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_0,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_1,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_149,na,,,, -PELAGIE,harmonized,WAISTCIRCMES_0,,,LifeCycle_CDM,outcome,waistcircmes_152,complete,final,,waistcircmes_152=0;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_3,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_4,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_207,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_208,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_5,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -Sepages,bdd_grossesse_v5_1,"po_datedel,mo_bd",,,LifeCycle_CDM,core,agebirth_m_d,complete,final,,agebirth_m_d=po_datedel-mo_bd;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_6,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_7,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_8,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_9,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_197,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_191,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_174,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_4,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_10,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_11,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_12,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_13,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_14,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_7,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_8,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_9,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_11,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_15,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_16,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_17,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_18,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_19,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_0,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_1,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_2,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_3,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_20,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_21,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_22,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_23,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_24,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_10,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_181,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_13,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_6,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_25,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_26,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_27,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_28,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_29,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_5,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_190,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_21,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_15,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_30,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_31,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_32,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_33,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_34,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_16,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_17,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_186,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_187,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_35,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_36,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_37,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_38,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_39,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_188,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_189,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_185,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_179,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_40,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_41,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_42,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_43,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_44,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_19,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_20,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_33,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_161,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_45,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_46,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_47,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_48,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_49,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_155,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_156,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_157,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_50,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_50,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_51,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_52,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_53,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_54,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_34,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_163,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_164,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_165,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_55,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_56,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_57,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_58,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_59,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_166,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_170,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_171,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_172,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_60,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_61,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_62,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_63,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_64,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_158,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_159,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_160,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_162,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_65,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_66,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_67,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_68,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_69,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_51,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_52,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_53,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_173,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_70,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_71,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_72,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_73,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_74,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_167,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_168,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_169,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_175,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_75,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_76,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_77,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_78,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_79,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_176,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_177,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_178,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_42,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_80,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_81,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_82,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_83,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_84,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_44,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_56,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_180,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_85,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_86,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_87,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_151,na,,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_88,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_89,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,femur_length_sdsWHO_t3,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,weight_sdsWHO_t3,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_90,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_91,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_92,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_93,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_94,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -PELAGIE,harmonized,ADHD_EVAL_14,,,LifeCycle_CDM,outcome,adhd_eval_14,complete,final,,eval=2;, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_169,complete,final,,/* too long to be provided and many case by case situations */, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_95,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_96,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_97,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_98,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_99,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,biparietal_diam_sdsWHOEUR_t3,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,bdd_grossesse_v5_1,mo_he,,,LifeCycle_CDM,core,height_mes_m,complete,final,1) Measured,if height_m ne . then height_mes_m=1;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_100,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_101,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_102,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_103,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_104,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,head_circum_sdsWHOEUR_t3,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -PELAGIE,harmonized,ATT_EVAL_5,,,ATHLETE_CDM,outcome_ath,att_eval_5,complete,final,,att_eval_5=4;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_105,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_106,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_107,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_108,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_109,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -NFBC1966,core,,,,LifeCycle_CDM,core,weight_who_ga,complete,final,,Syntax was long (available when asked), -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,abd_circum_sdsWHOEUR_t3,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_110,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_111,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_112,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_113,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_114,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,femur_length_sdsWHOEUR_t3,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -AP,AP,,,,OOM_CDM,VISIT_OCCURRENCE,visit_occurrence_id,complete,,As specified above,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_115,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_116,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_117,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_118,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_119,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,weight_sdsWHOEUR_t3,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -NFBC1966,core,,,,LifeCycle_CDM,core,death_child_age,complete,final,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_120,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_121,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_122,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_123,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_124,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -NFBC1966,core,,,,LifeCycle_CDM,core,apgar,partial,final,Apgar-scores at the age of 15 minutes,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_125,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -Sepages,bdd_grossesse_v5_1,mo_we_bepr,,,LifeCycle_CDM,core,prepreg_weight,complete,final,,prepreg_weight=mo_we_bepr;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_126,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_127,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_128,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_129,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -NFBC1966,core,,,,LifeCycle_CDM,core,cohort_id,complete,final,New variable conducted based on the cohort (NFBC1966),, -NFBC1966,core,,,,LifeCycle_CDM,core,death_p_age,complete,final,Age of the child at the time of the father's death (continuous in days) (value 99999 means that child had died before father),, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_130,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_131,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_132,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_133,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_134,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp3,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -NFBC1966,core,,,,LifeCycle_CDM,core,mother_id,complete,final,,, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_135,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_136,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_137,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_138,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_139,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp6,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -Sepages,bdd_grossesse_v5_1,"po_datedel,po_datelmp",,,LifeCycle_CDM,core,ga_bj,complete,final,,ga_bj=ga_lmp;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_140,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_141,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_142,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_143,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_144,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp5,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -Sepages,bdd_grossesse_v5_1,po_w,,,LifeCycle_CDM,core,birth_weight,complete,final,,birth_weight=po_w;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_145,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_146,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_147,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_148,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_149,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -PELAGIE,harmonized,EDU_F1_12,,,LifeCycle_CDM,core,edu_f1_fath12,partial,final,Biological father by default,if edu_f1_12 ne . then edu_f1_fath12=1;,Biological father by default -Sepages,bdd_grossesse_v5_1,po_he,,,LifeCycle_CDM,core,birth_length,complete,final,,birth_length=po_he;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_150,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_151,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_152,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_153,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_154,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -PELAGIE,harmonized,EDU_F1_13,,,LifeCycle_CDM,core,edu_f1_fath13,partial,final,Biological father by default,if edu_f1_13 ne . then edu_f1_fath13=1;,Biological father by default -PELAGIE,harmonized,ADHD_EVAL_2,,,LifeCycle_CDM,outcome,adhd_eval_2,complete,final,,eval=2;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_155,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_156,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_157,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_158,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_159,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -PELAGIE,harmonized,EDU_F1_14,,,LifeCycle_CDM,core,edu_f1_fath14,partial,final,Biological father by default,if edu_f1_14 ne . then edu_f1_fath14=1;,Biological father by default -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_158,complete,final,,cholage_158=age_exam_jour;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_160,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_161,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_162,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_163,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_164,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -PELAGIE,harmonized,OCCUP_F1_7,,,LifeCycle_CDM,core,occup_f1_fath7,partial,final,Biological father by default,if occup_f1_7 ne . then occup_f1_fath7=1;,Biological father by default -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_153,complete,final,,hdlcmes_153=0;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_165,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_166,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_167,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_168,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_169,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -Sepages,bdd_grossesse_v5_1,"date_inclusion,po_datedel",,,LifeCycle_CDM,core,recruit_age,complete,final,,recruit_age=date_inclusion-po_datedel;, -Sepages,bdd_grossesse_v5_1,po_hc,,,LifeCycle_CDM,core,birth_head_circum,complete,final,,birth_head_circum=po_hc;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_170,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_171,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_172,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_173,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_174,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -Sepages,bdd_2a_v_1_0,"cy2eas3_q02,cy2eas3_q03,cy2eas3_q04,cy2eas3_q05,cy2eas3_q06",,,LifeCycle_CDM,core,cohab_1,partial,final,"if in couple during pregnancy (mo_coupl_pr) and missing thereafter, she is considered to be in couple","cohab_1=cohab_0; -if cy2eas3_q02=1 or cy2eas3_q03=1 or cy2eas3_q04=1 or cy2eas3_q05=1 or cy2eas3_q06=1 then cohab_1=0;", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_175,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_176,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_177,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_178,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_179,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -Sepages,code_helix_athlete,quest_mhelix1,,,LifeCycle_CDM,core,mother_id,complete,final,,"mother_id=substr(quest_mhelix1,8,6);", -Sepages,code_helix_athlete,quest_mhelix1,,,LifeCycle_CDM,core,child_id,complete,final,,"child_id=substr(quest_mhelix1,8,6);", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_180,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_181,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_182,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_183,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_184,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -PELAGIE,pelagie_q0,"M30,M36",,,LifeCycle_CDM,core,apgar,complete,final,,"apgar=m30; -if m22 eq 2 and p1 eq 2 then apgar= m36;", -PELAGIE,harmonized,SITTINGHTMES_0,,,LifeCycle_CDM,outcome,sittinghtmes_156,complete,final,,sittinghtmes_156=0;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_185,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_186,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_187,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_188,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_189,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -PELAGIE,pelagie_q0,"P6,P7",,,LifeCycle_CDM,core,neo_unit,complete,final,,"if p7 eq 1 then neo_unit=1; -else if p7 eq 0 then neo_unit=0; -else if p6 eq 0 then neo_unit=0;", -PELAGIE,pelagie_q0,M25,,,LifeCycle_CDM,core,sex,complete,final,,sex=m25;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_190,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_191,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_192,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_193,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_194,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -PELAGIE,pelagie_q0,M22,,,LifeCycle_CDM,core,plurality,complete,final,,plurality=m22;, -Sepages,bdd_grossesse_v5_1,preg_no,,,LifeCycle_CDM,core,preg_no,complete,final,"For cohorts with only one pregnancy per a mother, this number will always be ‘1’.",preg_no=1;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_195,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_196,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_197,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_198,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_199,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -PELAGIE,harmonized,SITTINGHTMES_0,,,LifeCycle_CDM,outcome,sittinghtmes_157,complete,final,,sittinghtmes_157=0;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_200,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -Sepages,bdd_grossesse_v5_1,mo_we_bepr,,,LifeCycle_CDM,core,prepreg_weight_mes,complete,final,0) self reported,if prepreg_weight ne . then prepreg_weight_mes=0;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_201,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_202,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_203,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_204,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -Sepages,bdd_grossesse_v5_1,child_no,,,LifeCycle_CDM,core,child_no,complete,final,"For single child pregnancies, assign ‘1’ to the child",child_no=1;, -Sepages,bdd_grossesse_v5_1,cohort_id,,,LifeCycle_CDM,core,cohort_id,complete,final,,cohort_id=128;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_205,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_206,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_207,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_208,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_209,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -PELAGIE,harmonized,SITTINGHTMES_0,,,LifeCycle_CDM,outcome,sittinghtmes_158,complete,final,,sittinghtmes_158=0;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_210,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_168,complete,final,,/* too long to be provided and many case by case situations */, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_211,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_212,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_213,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_214,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle_CDM,outcome,triglyceridesmes_147,complete,final,,triglyceridesmes_147=0;, -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle_CDM,outcome,triglyceridesmes_148,complete,final,,triglyceridesmes_148=0;, -G21,child,"idade48m,idade84m,idade120m,idade156m","blood_pressure,blood_pressure,blood_pressure,blood_pressure","TAD1_48m,TAD1_84m,TAD1_120m,TAD1_156m",LifeCycle_CDM,outcome,dbp_215,complete,,,"dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade48m == i & !is.na(dataset$TAD1_48m), c(""familiaID"", ""membroID"", ""TAD1_48m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp1<- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade84m == i & !is.na(dataset$TAD1_84m), c(""familiaID"", ""membroID"", ""TAD1_84m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp2 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade120m == i & !is.na(dataset$TAD1_120m), c(""familiaID"", ""membroID"", ""TAD1_120m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp3 <- dataset1 - -dataset1 <- dataset[, c(1:2)] -for (i in 0:215){ - y <- paste(""dbp_"", i, sep="""") - if (nrow(dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m),]) == 0L){ - dataset1[c(y)] <- NA - next - } - - t <- dataset[dataset$idade156m == i & !is.na(dataset$TAD1_156m), c(""familiaID"", ""membroID"", ""TAD1_156m"")] - colnames(t) <- c(""familiaID"", ""membroID"", y) - dataset1 <- dataset1 %>% - left_join(t, by=c('familiaID', 'membroID')) -} - -temp4 <- dataset1 - - -table_final_dbp <- cbind(temp1[,1:74],temp2[,75:110],temp3[,111:144],temp4[,145:218])", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_22,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_152,na,,,, -NFBC1966,core,,,,LifeCycle_CDM,core,pets_7,partial,final,"When you were younger than 7 years old did you have in your home? A cat, A dog , Other pets with furry or feathers 1) no 2) yes . All the variables were recoded 1) yes 0) no","COMPUTE pets_7=SUM(C6631C_ZT_017_1, C6631C_ZT_017_2, C6631C_ZT_017_3). -EXECUTE. RECODE pets_7 (0=0) (1 thru 100=1) INTO pets_7. EXECUTE.", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_23,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_36,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_43,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_37,na,,,, -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_24,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_40,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_41,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_46,na,,,, -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_25,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_32,na,,,, -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_26,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_27,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_28,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_29,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -AP,AP,dat_acc,,,OOM_CDM,VISIT_OCCURRENCE,visit_start_date,complete,,,, -Sepages,bdd_grossesse_v5_1,coh_country,,,LifeCycle_CDM,core,coh_country,complete,final,,coh_country=250;, -Sepages,bdd_grossesse_v5_1,"mt3cab2_q06,mt3cab2_q07",,,LifeCycle_CDM,core,latepreg_weight_mes,complete,final,1) measured,if latepreg_weight ne . then latepreg_weight_mes=1;, -AP,AP,,,,OOM_CDM,VISIT_OCCURRENCE,visit_end_date,complete,,Leave empty,, -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_30,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -RMR,RMR,,,,OOM_CDM,SURVEY_OBSERVATIONS,so_unit,complete,,,, -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_31,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_57,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_58,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_147,na,,,, -Sepages,bdd_grossesse_v5_1,"mt3cab2_date_creation,po_datelmp",,,LifeCycle_CDM,core,latepreg_weight_ga,complete,final,,latepreg_weight_ga=mt3cab2_date_creation - po_datelmp;, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q0,V5,LifeCycle_CDM,core,ga_lmp,complete,final,,ga_lmp=int(ddn_2021-v5), -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_149,complete,final,,cholmes_149=0;, -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_59,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_60,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_67,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_61,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -PELAGIE,harmonized,ADHD_INSTR_7,,,LifeCycle_CDM,outcome,adhd_instr_7,complete,final,,instr=47;, -PELAGIE,harmonized,ADHD_INSTR_8,,,LifeCycle_CDM,outcome,adhd_instr_8,complete,final,,instr=47;, -PELAGIE,harmonized,ADHD_INSTR_13,,,LifeCycle_CDM,outcome,adhd_instr_13,complete,final,,instr=47;, -PELAGIE,harmonized,ADHD_INSTR_14,,,LifeCycle_CDM,outcome,adhd_instr_14,complete,final,,instr=47;, -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_62,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_148,na,,,, -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_63,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_64,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_65,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -Sepages,bdd_grossesse_v5_1,"mo_we_bepr,mt3cab2_q06,mt3cab2_q07",,,LifeCycle_CDM,core,preg_gain,complete,final,,preg_gain=latepreg_weight-prepreg_weight;, -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_158,complete,final,,hdlcmes_158=0;, -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_66,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -PELAGIE,harmonized,EXT_EVAL_14,,,LifeCycle_CDM,outcome,ext_eval_14,complete,final,,eval=2;, -PELAGIE,harmonized,WAISTCIRCMES_0,,,LifeCycle_CDM,outcome,waistcircmes_150,complete,final,,waistcircmes_150=0;, -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_68,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_154,na,,,, -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_69,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_70,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -Sepages,bdd_grossesse_v5_1,"mo_we_bepr,mt3cab2_q06,mt3cab2_q07",,,LifeCycle_CDM,core,preg_gain_mes,complete,final,3) Pre-pregnancy weight reported and late-pregnancy weight recorded,if preg_gain ne . then preg_gain_mes=3;, -Sepages,bdd_grossesse_v5_1,mo_he,,,LifeCycle_CDM,core,height_m,complete,final,,height_m=mo_he;, -PELAGIE,harmonized,ADHD_EVAL_8,,,LifeCycle_CDM,outcome,adhd_eval_8,complete,final,,eval=2;, -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_77,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_71,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_72,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_73,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_74,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_75,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_76,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_78,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_79,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_80,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_87,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_81,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_82,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_83,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_84,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_85,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_86,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_88,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_89,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_90,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_91,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_98,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_92,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_93,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_94,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_95,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_96,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_97,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_99,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_100,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_101,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_108,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_102,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_103,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_104,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_105,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_106,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_107,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_109,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_110,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_111,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_118,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_112,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_113,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_114,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_115,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_116,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_117,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_119,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_120,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_121,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_122,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_129,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_123,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_124,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_125,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_126,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_127,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_128,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_130,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_131,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_132,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_139,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_133,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_134,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_135,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_136,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_137,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_138,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_140,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_141,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_142,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,"AGE24M_M,DIAS1_24months,ageChildYF5,Dias1_5child,agechild9_visit1,DBP1_child9",,,LifeCycle_CDM,outcome,dbp_143,complete,,variable was created by renaming the source variable since it was already in the correct units and by creating index variable by rounding ages in months down. Index variable denotes the age interval/variable to which the measurement belongs to.,"do repeat x=0 to 215/dbp=dbp_0 to dbp_215. -IF AGE24M_M_i=x AND not missing(DIAS1_24months) dbp=DIAS1_24months. -IF agechild5m_i=x AND not missing(Dias1_5child) dbp=Dias1_5child. -IF agechild9m_i=x AND not missing (DBP1_child9) dbp=DBP1_child9. -end repeat print. -Execute. - -*Change levels to scale. -variable level dbp_0 to dbp_215 (SCALE).", -GenR,core,,,,LifeCycle_CDM,outcome,dbp_150,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_144,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_145,na,,,, -GenR,core,,,,LifeCycle_CDM,outcome,dbp_146,na,,,, -PELAGIE,harmonized,ADHD_EVAL_11,,,LifeCycle_CDM,outcome,adhd_eval_11,complete,final,,eval=2;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_153,complete,final,,cholage_153=age_exam_jour;, -PELAGIE,harmonized,ADHD_EVAL_12,,,LifeCycle_CDM,outcome,adhd_eval_12,complete,final,,eval=2;, -PELAGIE,harmonized,ADHD_EVAL_13,,,LifeCycle_CDM,outcome,adhd_eval_13,complete,final,,eval=2;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_156,complete,final,,cholage_156=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_157,complete,final,,cholage_157=age_exam_jour;, -Sepages,bdd_grossesse_v5_1,"mt1haa1_date_creation,mt1haa1_q01,mt1haa1_q02",,,LifeCycle_CDM,core,prepreg_dia,complete,final,,"if mt1haa1_date_creation ne """" then mt1haa1_quest=1; -if mt1haa1_q01=1 then prepreg_dia=2; -else if mt1haa1_q02=1 then prepreg_dia=3; -else if ident in (15207,19237,23642,26806,27002,27084) then prepreg_dia=4; else if mt1haa1_quest=1 then prepreg_dia=1;", -PELAGIE,harmonized,WAISTCIRCMES_0,,,LifeCycle_CDM,outcome,waistcircmes_151,complete,final,,waistcircmes_151=0;, -PELAGIE,harmonized,ADHD_EVAL_6,,,LifeCycle_CDM,outcome,adhd_eval_6,complete,final,,eval=2;, -PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle_CDM,outcome,subscapsfmes_152,complete,final,,subscapsfmes_152=0;, -PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle_CDM,outcome,subscapsfmes_153,complete,final,,subscapsfmes_153=0;, -PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle_CDM,outcome,subscapsfmes_154,complete,final,,subscapsfmes_154=0;, -PELAGIE,harmonized,ADHD_EVAL_1,,,LifeCycle_CDM,outcome,adhd_eval_1,complete,final,,eval=2;, -PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle_CDM,outcome,subscapsfmes_155,complete,final,,subscapsfmes_155=0;, -PELAGIE,harmonized,OCCUP_F1_8,,,LifeCycle_CDM,core,occup_f1_fath8,partial,final,Biological father by default,if occup_f1_8 ne . then occup_f1_fath8=1;,Biological father by default -PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle_CDM,outcome,subscapsfmes_156,complete,final,,subscapsfmes_156=0;, -PELAGIE,harmonized,OCCUP_F1_12,,,LifeCycle_CDM,core,occup_f1_fath12,partial,final,Biological father by default,if occup_f1_12 ne . then occup_f1_fath12=1;,Biological father by default -PELAGIE,harmonized,TRICEPSFMES_0,,,LifeCycle_CDM,outcome,tricepsfmes_152,complete,final,,tricepsfmes_152=0;, -PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle_CDM,outcome,subscapsfmes_151,complete,final,,subscapsfmes_151=0;, -Sepages,bdd_1a_v1_1,cy1caf1_q12,,,LifeCycle_CDM,core,con_anomalies,partial,final,cy1caf1_q12: Hypospadias ,"if ch_sex=1 then con_anomalies=cy1caf1_q12; -else if ch_sex=2 then con_anomalies=0;", -Sepages,bdd_grossesse_v5_1,"mt3haf1_date_creation,mt3haf1_q04,mt1haa1_q40p7,mt1haa1_q40,mt1haa1_q40p7",,,LifeCycle_CDM,core,preg_dia,partial,final,The variable is fully harmonised if data cover the whole pregnancy,"if mt3haf1_date_creation ne """" then mt3haf1_quest=1; -if mt1haa1_q40p7=1 or mt3haf1_q04=1 then preg_dia=1; -else if (mt1haa1_quest=1 and (mt1haa1_q40p7=0 or mt1haa1_q40=0)) and (mt3haf1_quest=. or mt3haf1_q04=0) then preg_dia=0;", -VCN,VCN,iduni,,,OOM_CDM,VACCINES,person_id,complete,,,, -Sepages,bdd_grossesse_v5_1,"mt1haa1_date_creation,mt3haf1_date_creation,mt1haa1_q40p5,mt1haa1_q40,mt3haf1_q02",,,LifeCycle_CDM,core,preeclam,partial,final,The variable is fully harmonised if data cover from 20 weeks until the end of pregnancy,"if mt1haa1_q40p5=1 or mt3haf1_q02=1 then preeclam=1; -else if (mt1haa1_quest=1 and (mt1haa1_q40p5=0 or mt1haa1_q40=0)) and (mt3haf1_quest=. or mt3haf1_q02=0) then preeclam=0;", -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_166,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_167,complete,final,,/* too long to be provided and many case by case situations */, -Sepages,bdd_grossesse_v5_1,"mt1haa1_q40p1,mt3haf1_q01,mt1haa1_date_creation,mt1haa1_q40,mt3haf1_date_creation",,,LifeCycle_CDM,core,preg_ht,partial,final,The variable is fully harmonised if data cover from 20 weeks until the end of pregnancy,"if mt1haa1_q40p1=1 or mt3haf1_q01=1 then preg_ht=1; -else if (mt1haa1_quest=1 and (mt1haa1_q40p1=0 or mt1haa1_q40=0)) and (mt3haf1_quest=. or mt3haf1_q01=0) then preg_ht=0;", -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_154,complete,final,,hdlcmes_154=0;, -Sepages,bdd_pere_1_2,"ft2cae1_q31,ft2cae1_q32",,,LifeCycle_CDM,core,height_mes_f1,complete,final,2) Measured,if height_f1 ne . then height_mes_f1=2;, -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_155,complete,final,,hdlcmes_155=0;, -Sepages,bdd_grossesse_v5_1,"mt1hab1_q16,mt1hab1_q16p1",,,LifeCycle_CDM,core,asthma_m,complete,final,,"if mt1hab1_q16p1=""1"" then asthma_m=1; - else if mt1hab1_q16p1=""0"" or mt1hab1_q16=""0"" or mt1hab1_q16p1=0 or mt1hab1_q16=0 then asthma_m=0;", -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_156,complete,final,,hdlcmes_156=0;, -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_157,complete,final,,hdlcmes_157=0;, -Sepages,bdd_pere_1_2,ft2sac1_q03,,,LifeCycle_CDM,core,edu_f1_fath0,complete,final,,if edu_f1_0 ne . then edu_f1_fath0=1;, -Sepages,bdd_grossesse_v5_1,po_datedel,,,LifeCycle_CDM,core,birth_year,complete,final,,birth_year=year(po_datedel);, -Sepages,bdd_grossesse_v5_1,ch_sex,,,LifeCycle_CDM,core,sex,complete,final,,sex=ch_sex;, -Sepages,bdd_grossesse_v5_1,po_datedel,,,LifeCycle_CDM,core,plurality,complete,final,no twin pregnancies in SEPAGES,"if po_datedel ne """" then plurality=1;", -Sepages,bdd_grossesse_v5_1,"po_datedel,po_datelmp",,,LifeCycle_CDM,core,ga_lmp,complete,final,,ga_lmp=po_datedel-po_datelmp;, -PELAGIE,BDD_cotinine,"COTININE,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_cotinine_raw_t2,complete,final,,"BDD_cotinine$m_cotinine_raw_t2<-ifelse(!is.na(BDD_cotinine$COTININE) & BDD_cotinine$SGurineF>10,BDD_cotinine$COTININE,NA)", -PELAGIE,harmonized,ADHD_EVAL_5,,,LifeCycle_CDM,outcome,adhd_eval_5,complete,final,,eval=2;, -PELAGIE,BDD_cotinine,SGURINEF,harmonized,M_COTININE_RAW_T1,ATHLETE_CDM,chemicals_ath,m_cotinine_lod_t1,complete,final,,"BDD_cotinine$m_cotinine_lod_t1<-ifelse(!is.na(BDD_cotinine$m_cotinine_raw_t1) & BDD_cotinine$SGurineF<=10,0.01,NA)", -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_165,complete,final,,/* too long to be provided and many case by case situations */, -RMR,RMR,iduni,,,OOM_CDM,SURVEY_ID,person_id,complete,,,, -Sepages,bdd_grossesse_v5_1,mo_coupl_pr,"bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1,bdd_1a_v1_1","cy1eas1_q02,cy1eas1_q03,cy1eas1_q04,cy1eas1_q05,cy1eas1_q06,cy1eas2_q02,cy1eas2_q03,cy1eas2_q04,cy1eas2_q05,cy1eas2_q06",LifeCycle_CDM,core,cohab_0,partial,final,"if in couple during pregnancy (mo_coupl_pr) and missing thereafter, she is considered to be in couple","cohab_0=mo_coupl_pr; -if cy1eas1_q02=1 or cy1eas1_q03=1 or cy1eas1_q04=1 or cy1eas1_q05=1 or cy1eas1_q06=1 then cohab_0=0; -if cy1eas2_q02=1 or cy1eas2_q03=1 or cy1eas2_q04=1 or cy1eas2_q05=1 or cy1eas2_q06=1 then cohab_0=0;", -Sepages,bdd_grossesse_v5_1,mo_isco_cat_major,,,LifeCycle_CDM,core,occupcode_m_0,complete,final,,occupcode_m_0=mo_isco_cat_major;, -Sepages,quest_mt1raa1,mt1raa1_q21,,,LifeCycle_CDM,core,edu_m_0,complete,final,The question is asked at the beginning of the pregnancy,"if MT1RAA1_Q21 in (1,2,3) then edu_m_0=3; -else if MT1RAA1_Q21 in (4,5) then edu_m_0=2; -else if MT1RAA1_Q21 in (6,7,8) then edu_m_0=1;", -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_155,complete,final,,/* too long to be provided and many case by case situations */, -Sepages,bdd_grossesse_v5_1,mt1saa1_q02,efr_mere_LMAB_20210902_26,mo_ethnie,LifeCycle_CDM,core,ethn1_m,partial,final,,"if mo_ethnie=1 then ethnie_m_efr=1; else if mo_ethnie ne . then ethnie_m_efr=2; -if mt1saa1_q02 in (2,4) then mt1saa1_q02_cat=1; - else if mt1saa1_q02 in (1,3,5,7) then mt1saa1_q02_cat=2; - else if mt1saa1_q02 =99 then mt1saa1_q02_cat=.; -if mt1saa1_q02_cat ne . then ethn1_m=mt1saa1_q02_cat; -else if mt1saa1_q02_cat=. then ethn1_m=ethnie_m_efr;", -Sepages,bdd_grossesse_v5_1,mo_we_bepr,,,LifeCycle_CDM,core,prepreg_weight_ga,complete,final,"Missing if prepreg_weight is pre-pregnancy weight (as opposed to early pregnancy weight -->in our case, it's missing",prepreg_weight_ga=.;, -Sepages,bdd_grossesse_v5_1,"mt3cab2_q06,mt3cab2_q07",,,LifeCycle_CDM,core,latepreg_weight,complete,final,,"latepreg_weight=mean(MT3CAB2_q06,MT3CAB2_q07);", -Sepages,bdd_grossesse_v5_1,mt1haa1_q17,,,LifeCycle_CDM,core,prepreg_psych,partial,final,"f there are no details of any psychiatric disorder but there are details of, for example, depression and anxiety, these can be included as ""any"" psychiatric disorder; this will then be only partial harmonisation, which should be detailed in full under ""match"" in the harmonisation table in the online catalogue .","if mt1haa1_q17=1 or ident in(14813,15563,18645,19422,19442,27084) then prepreg_psych=1; /*on a pu rattraper ces femmes grace aux questions mt1haa1_q19, mt1haa1_q20 et mt1haa1_q21*/ -else if mt1haa1_q17=0 then prepreg_psych=0;", -Sepages,bdd_grossesse_v5_1,,,,LifeCycle_CDM,core,preg_psych,partial,final,No psychatric disorders were reported by the women in the following text variables : mt1haa1_q40p13-mt1haa1_q40p17 mt3haf1_q07-mt3haf1_q09,preg_psych=0;, -Sepages,bdd_grossesse_v5_1,mo_tob_avgr,,,LifeCycle_CDM,core,prepreg_smk,complete,final,,"if mo_tob_avgr >0 then prepreg_smk=1; -else if mo_tob_avgr=0 then prepreg_smk=0;", -Sepages,bdd_grossesse_v5_1,mo_tob_avgr,,,LifeCycle_CDM,core,prepreg_cig,complete,final,,"if mo_tob_avgr ge 10 then prepreg_cig=2; -else if mo_tob_avgr >0 then prepreg_cig=1; -else if mo_tob_avgr=0 then prepreg_cig=0;", -Sepages,bdd_grossesse_v5_1,mo_tob_gr_anyt_yn_n2,,,LifeCycle_CDM,core,preg_smk,complete,final,,preg_smk=mo_tob_gr_anyt_yn_n2;, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_156,complete,final,,/* too long to be provided and many case by case situations */, -Sepages,bdd_grossesse_v5_1,"mo_tob_grt1,mo_tob_grt2,mo_tob_grt3_n2",,,LifeCycle_CDM,core,preg_cig,complete,final,,"mean_tob_gr=mean (mo_tob_grt1, mo_tob_grt2, mo_tob_grt3_n2); -if mean_tob_gr ge 10 then preg_cig=2; -else if mean_tob_gr >0 then preg_cig=1; -else if preg_smk=0 then preg_cig=0;", -Sepages,bdd_grossesse_v5_1,mo_tob_grt1_yn,,,LifeCycle_CDM,core,smk_t1,complete,final,,smk_t1=mo_tob_grt1_yn;, -Sepages,bdd_grossesse_v5_1,mo_tob_grt2_yn,,,LifeCycle_CDM,core,smk_t2,complete,final,,smk_t2=mo_tob_grt2_yn;, -Sepages,bdd_grossesse_v5_1,mo_tob_grt3_yn_n2,,,LifeCycle_CDM,core,smk_t3,complete,final,,smk_t3=mo_tob_grt3_yn_n2;, -Sepages,bdd_pere_1_2,"ft2cae1_q35,ft2cae1_q36",,,LifeCycle_CDM,core,weight_mes_f1,complete,final,2) Measured,if weight_f1 ne . then weight_mes_f1=2;, -Sepages,bdd_grossesse_v5_1,mo_outcome_preg,,,LifeCycle_CDM,core,sibling_pos,complete,final,,sibling_pos=mo_outcome_preg+1;, -Sepages,bdd_grossesse_v5_1,"mt1ean1_q167,mt2ean2_q167,mt3ean3_q167,mt3laa1_q04",,,LifeCycle_CDM,core,preg_alc,complete,final,,"if mt1ean1_q167 in (2,3) or mt2ean2_q167 in (2,3) or mt3ean3_q167 in (2,3) or mt3laa1_q04=1 then preg_alc=1; -else if (mt1ean1_q167=1 and mt2ean2_q167=1 and mt3ean3_q167=1) or mt3laa1_q04=0 then preg_alc=0; -else if mt1ean1_q167=1 and (mt2ean2_q167=1 or mt3ean3_q167=1 or mt3laa1_q04=1) then preg_alc=0; -else if mt2ean2_q167=1 and (mt3ean3_q167=1 or mt3laa1_q04=1) then preg_alc=0;", -Sepages,bdd_grossesse_v5_1,"mt1ean1_q167,mt2ean2_q167,mt3ean3_q167,mt3laa1_q04,mt1ean1_q167p1,mt1ean1_q167p2,mt1ean1_q167p3,mt1ean1_q167p4,mt2ean2_q167p1,mt2ean2_q167p2,mt2ean2_q167p3,mt2ean2_q167p4,mt3ean3_q167p1,mt3ean3_q167p2,mt3ean3_q167p3,mt3ean3_q167p4",,,LifeCycle_CDM,core,preg_alc_unit,complete,final,,"nb_verre_t1=sum(mt1ean1_q167p1+mt1ean1_q167p2+mt1ean1_q167p3+mt1ean1_q167p4); -nb_verre_t2=sum(mt2ean2_q167p1+mt2ean2_q167p2+mt2ean2_q167p3+mt2ean2_q167p4); -nb_verre_t3=sum(mt3ean3_q167p1+mt3ean3_q167p2+mt3ean3_q167p3+mt3ean3_q167p4); -preg_alc_mean=mean(nb_verre_t1,nb_verre_t2,nb_verre_t3); -if preg_alc_mean ge 14 then preg_alc_unit=4; -else if preg_alc_mean ge 7 then preg_alc_unit=3; -else if preg_alc_mean ge 3 then preg_alc_unit=2; -else if preg_alc_mean >0 or (preg_alc_mean=. and preg_alc=1) then preg_alc_unit=1; -else if preg_alc=0 then preg_alc_unit=0;", -Sepages,bdd_grossesse_v5_1,mt1ean1_q167,,,LifeCycle_CDM,core,alc_t1,complete,final,,"if mt1ean1_q167 in (2,3) then alc_t1=1; -else if mt1ean1_q167=1 then alc_t1=0;", -Sepages,bdd_grossesse_v5_1,mt2ean2_q167,,,LifeCycle_CDM,core,alc_t2,complete,final,,"if mt2ean2_q167 in (2,3) then alc_t2=1; -else if mt2ean2_q167=1 then alc_t2=0;", -PELAGIE,pelagie_q0,P1,,,LifeCycle_CDM,core,child_no,complete,final,,child_no = P1, -Sepages,bdd_grossesse_v5_1,mt3ean3_q167,,,LifeCycle_CDM,core,alc_t3,complete,final,,"if mt3ean3_q167 in (2,3) then alc_t3=1; -else if mt3ean3_q167=1 then alc_t3=0;", -Sepages,bdd_grossesse_v5_1,mo_outcome_preg,,,LifeCycle_CDM,core,parity_m,complete,final,,parity_m=mo_outcome_preg ;, -Sepages,bdd_grossesse_v5_1,po_datedel,,,LifeCycle_CDM,core,outcome,complete,final,,"if po_datedel ne """" then outcome=1;", -Sepages,bdd_grossesse_v5_1,cy1hao1_q10,,,LifeCycle_CDM,core,mode_delivery,complete,final,,mode_delivery=cy1hao1_q10;, -Sepages,bdd_pere_1_2,fa_isco_cat_major,,,LifeCycle_CDM,core,occupcode_f1_0,complete,final,,occupcode_f1_0=fa_isco_cat_major;, -Sepages,bdd_pere_1_2,"ft2cae1_q31,ft2cae1_q32",,,LifeCycle_CDM,core,height_f1_fath,complete,final,biological father for all,if height_f1 ne . then height_f1_fath=1;, -Sepages,bdd_pere_1_2,ft2sac1_q03,,,LifeCycle_CDM,core,edu_f1_0,partial,final,Question asked in the second trimestrer,"if ft2sac1_q03 in (1,2,3) then edu_f1_0=3; - else if ft2sac1_q03 in (4,5) then edu_f1_0=2; - else if ft2sac1_q03 in (6,7,8) then edu_f1_0=1;", -Sepages,bdd_pere_1_2,ft2sac1_q02,efr_pere_LMAB_20210902_26,fa_ethnie,LifeCycle_CDM,core,ethn1_p,partial,final,question esked : What ethnic background do you consider yourself?,"if fa_ethnie=1 then ethnie_p_efr=1; else if fa_ethnie ne . then ethnie_p_efr=2; -if ft2sac1_q02 in (2,4) then ft2sac1_q02_cat=1; -else if ft2sac1_q02 in (1,3,5,7) then ft2sac1_q02_cat=2; -else if ft2sac1_q02 =99 then ft2sac1_q02_cat=.; -if ft2sac1_q02_cat ne . then ethn1_p=ft2sac1_q02_cat; -else if ft2sac1_q02_cat=. then ethn1_p=ethnie_p_efr;", -Sepages,bdd_grossesse_v5_1,po_datedel,ddn_pere,ddn_pere,LifeCycle_CDM,core,agebirth_p_y,complete,final,,agebirth_p_y=YEAR(po_datedel)-YEAR (ddn_pere);, -Sepages,bdd_grossesse_v5_1,po_datedel,ddn_pere,ddn_pere,LifeCycle_CDM,core,agebirth_p_d,complete,final,,agebirth_p_d=po_datedel-ddn_pere;, -Sepages,bdd_grossesse_v5_1,po_datedel,ddn_pere,ddn_pere,LifeCycle_CDM,core,agebirth_p_fath,complete,final,biological father for all,if agebirth_p_d ne . then agebirth_p_fath=1;, -Sepages,bdd_pere_1_2,"ft2cae1_q35,ft2cae1_q36",,,LifeCycle_CDM,core,weight_f1,complete,final,,"weight_f1=mean (ft2cae1_q35, ft2cae1_q36);", -Sepages,bdd_pere_1_2,"ft2cae1_q35,ft2cae1_q36",,,LifeCycle_CDM,core,weight_f1_fath,complete,final,biological father for all,if weight_f1 ne . then weight_f1_fath=1;, -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,femur_length_sdsWHO_t2,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,bdd_pere_1_2,"ft2cae1_q31,ft2cae1_q32",,,LifeCycle_CDM,core,height_f1,complete,final,,"height_f1=mean (ft2cae1_q31, ft2cae1_q32); -if ident=15949 then height_f1=178; -if ident=16318 then height_f1=173; -if ident=17465 then height_f1=179.75; -if ident=22692 then height_f1=177; -if ident=24954 then height_f1=167.5; -if ident=27305 then height_f1=.;", -Sepages,bdd_pere_1_2,"ft2had1_q03,ft2had1_q04",,,LifeCycle_CDM,core,dia_bf,complete,final,,"if ft2had1_q03=1 then dia_bf=2; -else if ft2had1_q04=1 then dia_bf=3; -else if ft2had1_q03=0 and ft2had1_q04=0 then dia_bf=1;", -Sepages,bdd_pere_1_2,"ft2hae1_q15,ft2hae1_q15p1",,,LifeCycle_CDM,core,asthma_bf,complete,final,,"if ft2hae1_q15p1=1 then asthma_bf=1; -else if ft2hae1_q15p1=0 or ft2hae1_q15=0 then asthma_bf=0;", -Sepages,bdd_pere_1_2,ft2had1_q09,,,LifeCycle_CDM,core,psych_bf,partial,final,question asked : depression,psych_bf=ft2had1_q09 ;, -Sepages,bdd_grossesse_v5_1,po_datedel,,,LifeCycle_CDM,core,birth_month,complete,final,,birth_month=month(po_datedel);, -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_150,complete,final,,cholmes_150=0;, -PELAGIE,harmonized,HEIGHT_F1,,,LifeCycle_CDM,core,height_f1_fath,partial,final,Biological father by default,if height_f1 ne . then do;height_mes_f1=1;height_f1_fath=1;end;,Biological father by default -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T1_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","Date_examen_T1_1,date_dernieres_regles_T1_2,Date_examen_T1_2,date_dernieres_regles_T1_3,Date_examen_T1_3,age_echo_semaines_T1_1,age_echo_jours_T1_1,age_echo_semaines_T1_2,age_echo_jours_T1_2,age_echo_semaines_T1_3,age_echo_jours_T1_3",ATHLETE_CDM,outcome_ath,ga_us_t1,partial,final,,"ag_ddr_T1_1=intck('day',date_dernieres_regles_T1_1 ,Date_examen_T1_1); -ag_ddr_T1_2=intck('day',date_dernieres_regles_T1_2 ,Date_examen_T1_2); -ag_ddr_T1_3=intck('day',date_dernieres_regles_T1_3 ,Date_examen_T1_3); -ag_echo_T1_1=(age_echo_semaines_T1_1*7)+age_echo_jours_T1_1; -ag_echo_T1_2=(age_echo_semaines_T1_2*7)+age_echo_jours_T1_2; -ag_echo_T1_3=(age_echo_semaines_T1_3*7)+age_echo_jours_T1_3; -diff_ag_T1_1=abs(intck('day',ag_ddr_T1_1,ag_echo_T1_1)); -if diff_ag_T1_1=. and ag_ddr_T1_1=. then AG_T1_1=ag_echo_T1_1; -else if diff_ag_T1_1<=7 then AG_T1_1=ag_ddr_T1_1; -diff_ag_T1_2=abs(intck('day',ag_ddr_T1_2,ag_echo_T1_2)); -if diff_ag_T1_2=. and ag_ddr_T1_2=. then AG_T1_2=ag_echo_T1_2; -else if diff_ag_T1_2<=7 then AG_T1_2=ag_ddr_T1_2; -else if diff_ag_T1_2>7 then AG_T1_2=ag_echo_T1_2; -else if diff_ag_T1_1>7 then AG_T1_1=ag_echo_T1_1; -diff_ag_T1_3=abs(intck('day',ag_ddr_T1_3,ag_echo_T1_3)); -if diff_ag_T1_3=. and ag_ddr_T1_3=. then AG_T1_3=ag_echo_T1_3; -else if diff_ag_T1_3<=7 then AG_T1_3=ag_ddr_T1_3; -else if diff_ag_T1_3>7 then AG_T1_3=ag_echo_T1_3; -array t{3} AG_T1_1 AG_T1_2 AG_T1_3; -do i=1 to 3; -nb_t1=sum(nb_t1,t{i} ne .); -end; -var1_med=abs(AG_T1_1-87); -var2_med=abs(AG_T1_2-87); -var3_med=abs(AG_T1_3-87); -minAG_med=min(var1_med,var2_med,var3_med); -if minAG_med=var1_med then do; - gestational_age=AG_T1_1; - exam_date=Date_examen_T1_1; - period_rank=""T1_1""; -end; -else if minAG_med=var2_med then do; - gestational_age=AG_T1_2; - exam_date=Date_examen_T1_2; - period_rank=""T1_2""; -end; -else if minAG_med=var2_med then do; - gestational_age=AG_T1_3; - exam_date=Date_examen_T1_3; - period_rank=""T1_3""; -end; -ga_us_t1=gestational_age;", -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T2_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","Date_examen_T2_1,date_dernieres_regles_T2_1,Date_examen_T2_2,date_dernieres_regles_T2_3,Date_examen_T2_3,date_dernieres_regles_T2_4,Date_examen_T2_4,date_debut_grossesse_T2_1,date_debut_grossesse_T2_2,date_debut_grossesse_T2_3,date_debut_grossesse_T2_4",ATHLETE_CDM,outcome_ath,ga_us_t2,partial,final,,"ag_ddr_T2_1=intck('day',date_dernieres_regles_T2_1 ,Date_examen_T2_1); -ag_ddr_T2_2=intck('day',date_dernieres_regles_T2_1 ,Date_examen_T2_2); -ag_ddr_T2_3=intck('day',date_dernieres_regles_T2_3 ,Date_examen_T2_3); -ag_ddr_T2_4=intck('day',date_dernieres_regles_T2_4 ,Date_examen_T2_4); -age_echo_semaines_T2_1=floor((intck('day',date_debut_grossesse_T2_1 ,Date_examen_T2_1))/7)+2; -age_echo_jours_T2_1=((intck('day',date_debut_grossesse_T2_1 ,Date_examen_T2_1)/7)-(floor((intck('day',date_debut_grossesse_T2_1 ,Date_examen_T2_1))/7)))*7; -ag_echo_T2_1=(age_echo_semaines_T2_1*7)+age_echo_jours_T2_1; -age_echo_semaines_T2_2=floor((intck('day',date_debut_grossesse_T2_2 ,Date_examen_T2_2))/7)+2; -age_echo_jours_T2_2=((intck('day',date_debut_grossesse_T2_2 ,Date_examen_T2_2)/7)-(floor((intck('day',date_debut_grossesse_T2_2 ,Date_examen_T2_2))/7)))*7; -ag_echo_T2_2=(age_echo_semaines_T2_2*7)+age_echo_jours_T2_2; -age_echo_semaines_T2_3=floor((intck('day',date_debut_grossesse_T2_3 ,Date_examen_T2_3))/7)+2; -age_echo_jours_T2_3=((intck('day',date_debut_grossesse_T2_3 ,Date_examen_T2_3)/7)-(floor((intck('day',date_debut_grossesse_T2_3 ,Date_examen_T2_3))/7)))*7; -ag_echo_T2_3=(age_echo_semaines_T2_3*7)+age_echo_jours_T2_3; -age_echo_semaines_T2_4=floor((intck('day',date_debut_grossesse_T2_4 ,Date_examen_T2_4))/7)+2; -age_echo_jours_T2_4=((intck('day',date_debut_grossesse_T2_4 ,Date_examen_T2_4)/7)-(floor((intck('day',date_debut_grossesse_T2_4 ,Date_examen_T2_4))/7)))*7; -ag_echo_T2_4=(age_echo_semaines_T2_4*7)+age_echo_jours_T2_4; -diff_ag_T2_1=abs(intck('day',ag_ddr_T2_1,ag_echo_T2_1)); -if diff_ag_T2_1=. and ag_ddr_T2_1=. then AG_T2_1=ag_echo_T2_1; -else if diff_ag_T2_1<=7 then AG_T2_1=ag_ddr_T2_1; -else if diff_ag_T2_1>7 then AG_T2_1=ag_echo_T2_1; -diff_ag_T2_2=abs(intck('day',ag_ddr_T2_2,ag_echo_T2_2)); -if diff_ag_T2_2=. and ag_ddr_T2_2=. then AG_T2_2=ag_echo_T2_2; -else if diff_ag_T2_2<=7 then AG_T2_2=ag_ddr_T2_2; -else if diff_ag_T2_2>7 then AG_T2_2=ag_echo_T2_2; -diff_ag_T2_3=abs(intck('day',ag_ddr_T2_3,ag_echo_T2_3)); -if diff_ag_T2_3=. and ag_ddr_T2_3=. then AG_T2_3=ag_echo_T2_3; -else if diff_ag_T2_3<=7 then AG_T2_3=ag_ddr_T2_3; -else if diff_ag_T2_3>7 then AG_T2_3=ag_echo_T2_3; -diff_ag_T2_4=abs(intck('day',ag_ddr_T2_4,ag_echo_T2_4)); -if diff_ag_T2_4=. and ag_ddr_T2_4=. then AG_T2_4=ag_echo_T2_4; -else if diff_ag_T2_4<=7 then AG_T2_4=ag_ddr_T2_4; -else if diff_ag_T2_4>7 then AG_T2_4=ag_echo_T2_4; -array t{4} AG_T2_1 AG_T2_2 AG_T2_3 AG_T2_4; -do i=1 to 4; -nb_t2=sum(nb_t2,t{i} ne .); -end; -ag_med_T2_1=abs(AG_T2_1-152); -ag_med_T2_2=abs(AG_T2_2-152); -ag_med_T2_3=abs(AG_T2_3-152); -ag_med_T2_4=abs(AG_T2_4-152); -minAG_med=min(ag_med_T2_1,ag_med_T2_2,ag_med_T2_3,ag_med_T2_4); -if minAG_med=ag_med_T2_1 then do; - gestational_age=AG_T2_1; - exam_date=Date_examen_T2_1; - period_rank=""T2_1""; -end; -else if minAG_med=ag_med_T2_2 then do; - gestational_age=AG_T2_2; - exam_date=Date_examen_T2_2; - period_rank=""T2_2""; -end; -else if minAG_med=ag_med_T2_3 then do; - gestational_age=AG_T2_3; - exam_date=Date_examen_T2_3; - period_rank=""T2_3""; -end; -else if minAG_med=ag_med_T2_4 then do; - gestational_age=AG_T2_4; - exam_date=Date_examen_T2_4; - period_rank=""T2_4""; -end; -ga_us_t2=gestational_age;", -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_152,complete,final,,cholage_152=age_exam_jour;, -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T3_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","Date_examen_T3_1,date_dernieres_regles_T3_2,Date_examen_T3_2,date_dernieres_regles_T3_3,Date_examen_T3_3,date_dernieres_regles_T3_4,Date_examen_T3_4,date_dernieres_regles_T3_5,Date_examen_T3_5,date_debut_grossesse_T3_1,date_debut_grossesse_T3_2,date_debut_grossesse_T3_3,date_debut_grossesse_T3_4,date_debut_grossesse_T3_5",ATHLETE_CDM,outcome_ath,ga_us_t3,partial,final,,"ag_ddr_T3_1=intck('day',date_dernieres_regles_T3_1 ,Date_examen_T3_1); -ag_ddr_T3_2=intck('day',date_dernieres_regles_T3_2 ,Date_examen_T3_2); -ag_ddr_T3_3=intck('day',date_dernieres_regles_T3_3 ,Date_examen_T3_3); -ag_ddr_T3_4=intck('day',date_dernieres_regles_T3_4 ,Date_examen_T3_4); -ag_ddr_T3_5=intck('day',date_dernieres_regles_T3_5 ,Date_examen_T3_5); -age_echo_semaines_T3_1=floor((intck('day',date_debut_grossesse_T3_1 ,Date_examen_T3_1))/7)+2; -age_echo_jours_T3_1=((intck('day',date_debut_grossesse_T3_1 ,Date_examen_T3_1)/7)-(floor((intck('day',date_debut_grossesse_T3_1 ,Date_examen_T3_1))/7)))*7; -ag_echo_T3_1=(age_gest_semaines_T3_1*7)+age_gest_jours_T3_1; -age_echo_semaines_T3_2=floor((intck('day',date_debut_grossesse_T3_2 ,Date_examen_T3_2))/7)+2; -age_echo_jours_T3_2=((intck('day',date_debut_grossesse_T3_2 ,Date_examen_T3_2)/7)-(floor((intck('day',date_debut_grossesse_T3_2 ,Date_examen_T3_2))/7)))*7; -ag_echo_T3_2=(age_echo_semaines_T3_2*7)+age_echo_jours_T3_2; -age_echo_semaines_T3_3=floor((intck('day',date_debut_grossesse_T3_3 ,Date_examen_T3_3))/7)+2; -age_echo_jours_T3_3=((intck('day',date_debut_grossesse_T3_3 ,Date_examen_T3_3)/7)-(floor((intck('day',date_debut_grossesse_T3_3 ,Date_examen_T3_3))/7)))*7; -ag_echo_T3_3=(age_echo_semaines_T3_3*7)+age_echo_jours_T3_3; -age_echo_semaines_T3_4=floor((intck('day',date_debut_grossesse_T3_4 ,Date_examen_T3_4))/7)+2; -age_echo_jours_T3_4=((intck('day',date_debut_grossesse_T3_4 ,Date_examen_T3_4)/7)-(floor((intck('day',date_debut_grossesse_T3_4 ,Date_examen_T3_4))/7)))*7; -ag_echo_T3_4=(age_echo_semaines_T3_4*7)+age_echo_jours_T3_4; -age_echo_semaines_T3_5=floor((intck('day',date_debut_grossesse_T3_5 ,Date_examen_T3_5))/7)+2; -age_echo_jours_T3_5=((intck('day',date_debut_grossesse_T3_5 ,Date_examen_T3_5)/7)-(floor((intck('day',date_debut_grossesse_T3_5 ,Date_examen_T3_5))/7)))*7; -ag_echo_T3_5=(age_echo_semaines_T3_5*7)+age_echo_jours_T3_5; -diff_ag_T3_1=abs(intck('day',ag_ddr_T3_1,ag_echo_T3_1)); -if diff_ag_T3_1=. and ag_ddr_T3_1=. then AG_T3_1=ag_echo_T3_1; -else if diff_ag_T3_1<=7 then AG_T3_1=ag_ddr_T3_1; -else if diff_ag_T3_1>7 then AG_T3_1=ag_echo_T3_1; -diff_ag_T3_2=abs(intck('day',ag_ddr_T3_2,ag_echo_T3_2)); -if diff_ag_T3_2=. and ag_ddr_T3_2=. then AG_T3_2=ag_echo_T3_2; -else if diff_ag_T3_2<=7 then AG_T3_2=ag_ddr_T3_2; -else if diff_ag_T3_2>7 then AG_T3_2=ag_echo_T3_2; -diff_ag_T3_3=abs(intck('day',ag_ddr_T3_3,ag_echo_T3_3)); -if diff_ag_T3_3=. and ag_ddr_T3_3=. then AG_T3_3=ag_echo_T3_3; -else if diff_ag_T3_3<=7 then AG_T3_3=ag_ddr_T3_3; -else if diff_ag_T3_3>7 then AG_T3_3=ag_echo_T3_3; -diff_ag_T3_4=abs(intck('day',ag_ddr_T3_4,ag_echo_T3_4)); -if diff_ag_T3_4=. and ag_ddr_T3_4=. then AG_T3_4=ag_echo_T3_4; -else if diff_ag_T3_4<=7 then AG_T3_4=ag_ddr_T3_4; -else if diff_ag_T3_4>7 then AG_T3_4=ag_echo_T3_4; -diff_ag_T3_5=abs(intck('day',ag_ddr_T3_5,ag_echo_T3_5)); -if diff_ag_T3_5=. and ag_ddr_T3_5=. then AG_T3_5=ag_echo_T3_5; -else if diff_ag_T3_5<=7 then AG_T3_5=ag_ddr_T3_5; -else if diff_ag_T3_5>7 then AG_T3_5=ag_echo_T3_5; -array t{5} AG_T3_1 AG_T3_2 AG_T3_3 AG_T3_4 AG_T3_5; -do i=1 to 5; -nb_T3=sum(nb_T3,t{i} ne .); -end; -ag_med_T3_1=abs(AG_T3_1-227); -ag_med_T3_2=abs(AG_T3_2-227); -ag_med_T3_3=abs(AG_T3_3-227); -ag_med_T3_4=abs(AG_T3_4-227); -ag_med_T3_5=abs(AG_T3_5-227); -minAG_med=min(ag_med_T3_1,ag_med_T3_2,ag_med_T3_3,ag_med_T3_4,ag_med_T3_5); -if minAG_med=ag_med_T3_1 then do; - gestational_age=AG_T3_1; - exam_date=Date_examen_T3_1; - period_rank=""T3_1""; -end; -else if minAG_med=ag_med_T3_2 then do; - gestational_age=AG_T3_2; - exam_date=Date_examen_T3_2; - period_rank=""T3_2""; -end; -else if minAG_med=ag_med_T3_3 then do; - gestational_age=AG_T3_3; -exam_date=Date_examen_T3_3; - period_rank=""T3_3""; -end; -else if minAG_med=ag_med_T3_4 then do; - gestational_age=AG_T3_4; - exam_date=Date_examen_T3_4; - period_rank=""T3_4""; -end; -else if minAG_med=ag_med_T3_5 then do; - gestational_age=AG_T3_5; - exam_date=Date_examen_T3_5; - period_rank=""T3_5""; -end; -ga_us_t3=gestational_age;", -Sepages,Ultrasound_all_SLC_20220428_893,lcc_T1_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","lcc_T1_2,lcc_T1_3",ATHLETE_CDM,outcome_ath,CRL_t1,partial,final,,"if period_rank=""T1_1"" then do; - outcome_val=strip(put(lcc_T1_1,best.)); -end; -else if period_rank=""T1_2"" then do; - outcome_val=strip(put(lcc_T1_2,best.)); -end; -else if period_rank=""T1_3"" then do; - outcome_val=strip(put(lcc_T1_3,best.)); -end; -CRL_t1=outcome_val;", -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","biometrie_bip_T1_2,biometrie_bip_T1_3",ATHLETE_CDM,outcome_ath,fetus_biparietal_diam_t1,partial,final,,"if period_rank=""T1_1"" then do; - outcome_val=strip(put(biometrie_bip_T1_1,best.)); -end; -else if period_rank=""T1_2"" then do; - outcome_val=strip(put(biometrie_bip_T1_2,best.)); -end; -else if period_rank=""T1_3"" then do; - outcome_val=strip(put(biometrie_bip_T1_3,best.)); -end; -biparietal_diam_t1=outcome_val;", -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_146,complete,final,,"pelagie_dosage12$chol_146<-ifelse(pelagie_dosage12$age_exam_mois<147,pelagie_dosage12$Q12_Cholesterol_total,NA)", -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T2_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","biometrie_bip_T2_2,biometrie_bip_T2_3,biometrie_bip_T2_4",ATHLETE_CDM,outcome_ath,fetus_biparietal_diam_t2,partial,final,,"if period_rank=""T2_1"" then do; - outcome_val=strip(put(biometrie_bip_T2_1,best.)); -end; -else if period_rank=""T2_2"" then do; - outcome_val=strip(put(biometrie_bip_T2_2,best.)); -end; -else if period_rank=""T2_3"" then do; - outcome_val=strip(put(biometrie_bip_T2_3,best.)); -end; -else if period_rank=""T2_4"" then do; - outcome_val=strip(put(biometrie_bip_T2_4,best.)); -end; -fetus_biparietal_diam_t2=outcome_val;", -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_158,complete,final,,"pelagie_dosage12$chol_158<-ifelse(pelagie_dosage12$age_exam_mois >=158 & pelagie_dosage12$age_exam_mois<159,pelagie_dosage12$Q12_Cholesterol_total,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_146,complete,final,,cholage_146=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_147,complete,final,,cholage_147=age_exam_jour;, -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T3_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","biometrie_bip_T3_2,biometrie_bip_T3_3,biometrie_bip_T3_4,biometrie_bip_T3_5",ATHLETE_CDM,outcome_ath,fetus_biparietal_diam_t3,partial,final,,"if period_rank=""T3_1"" then do; - outcome_val=strip(put(biometrie_bip_T3_1,best.)); -end; -else if period_rank=""T3_2"" then do; - outcome_val=strip(put(biometrie_bip_T3_2,best.)); -end; -else if period_rank=""T3_3"" then do; - outcome_val=strip(put(biometrie_bip_T3_3,best.)); -end; -else if period_rank=""T3_4"" then do; - outcome_val=strip(put(biometrie_bip_T3_4,best.)); -end; -else if period_rank=""T3_5"" then do; - outcome_val=strip(put(biometrie_bip_T3_5,best.)); -end; -fetus_biparietal_diam_t3=outcome_val;", -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,fetus_weight_t2,partial,final,,fetus_weight_t2 = 10**(1.326 - 0.00326*fetus_abd_circum_t2*fetus_femur_length_t2 + 0.0107*fetus_head_circum_t2 + 0.0438*fetus_abd_circum_t2 + 0.158*fetus_femur_length_t2);, -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,weight_sdsWHO_t2,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T2_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","perimetre_cranien_T2_2,perimetre_cranien_T2_3,perimetre_cranien_T2_4",ATHLETE_CDM,outcome_ath,fetus_head_circum_t2,partial,final,,"if period_rank=""T2_1"" then do; - outcome_val=strip(put(perimetre_cranien_T2_1,best.)); -end; -else if period_rank=""T2_2"" then do; - outcome_val=strip(put(perimetre_cranien_T2_2,best.)); -end; -else if period_rank=""T2_3"" then do; - outcome_val=strip(put(perimetre_cranien_T2_3,best.)); -end; -else if period_rank=""T2_4"" then do; - outcome_val=strip(put(perimetre_cranien_T2_4,best.)); -end; -fetus_head_circum_t2=outcome_val;", -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T2_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","longueur_femur_T2_2,longueur_femur_T2_3,longueur_femur_T2_4",ATHLETE_CDM,outcome_ath,fetus_femur_length_t2,partial,final,,"if period_rank=""T2_1"" then do; - outcome_val=strip(put(longueur_femur_T2_1,best.)); -end; -else if period_rank=""T2_2"" then do; - outcome_val=strip(put(longueur_femur_T2_2,best.)); -end; -else if period_rank=""T2_3"" then do; - outcome_val=strip(put(longueur_femur_T2_3,best.)); -end; -else if period_rank=""T2_4"" then do; - outcome_val=strip(put(longueur_femur_T2_4,best.)); -end; -fetus_femur_length_t2=outcome_val;", -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_148,complete,final,,cholage_148=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_149,complete,final,,cholage_149=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_150,complete,final,,cholage_150=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_151,complete,final,,cholage_151=age_exam_jour;, -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T3_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","perimetre_cranien_T3_2,perimetre_cranien_T3_3,perimetre_cranien_T3_4,perimetre_cranien_T3_5",ATHLETE_CDM,outcome_ath,fetus_head_circum_t3,partial,final,,"if period_rank=""T3_1"" then do; - outcome_val=strip(put(perimetre_cranien_T3_1,best.)); -end; -else if period_rank=""T3_2"" then do; - outcome_val=strip(put(perimetre_cranien_T3_2,best.)); -end; -else if period_rank=""T3_3"" then do; - outcome_val=strip(put(perimetre_cranien_T3_3,best.)); -end; -else if period_rank=""T3_4"" then do; - outcome_val=strip(put(perimetre_cranien_T3_4,best.)); -end; -else if period_rank=""T3_5"" then do; - outcome_val=strip(put(perimetre_cranien_T3_5,best.)); -end;", -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,fetus_weight_t3,partial,final,,fetus_weight_t3 = 10**(1.326 - 0.00326*fetus_abd_circum_t3*fetus_femur_length_t3 + 0.0107*fetus_head_circum_t3 + 0.0438*fetus_abd_circum_t3 + 0.158*fetus_femur_length_t3);, -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,biparietal_diam_sdsWHO_t2,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,biparietal_diam_sdsWHOEUR_t2,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,head_circum_sdsWHOEUR_t2,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,abd_circum_sdsWHOEUR_t2,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T2_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","perimetre_abdominal_T2_2,perimetre_abdominal_T2_3,perimetre_abdominal_T2_4",ATHLETE_CDM,outcome_ath,fetus_abd_circum_t2,partial,final,,"if period_rank=""T2_1"" then do; - outcome_val=strip(put(perimetre_abdominal_T2_1,best.)); -end; -else if period_rank=""T2_2"" then do; - outcome_val=strip(put(perimetre_abdominal_T2_2,best.)); -end; -else if period_rank=""T2_3"" then do; - outcome_val=strip(put(perimetre_abdominal_T2_3,best.)); -end; -else if period_rank=""T2_4"" then do; - outcome_val=strip(put(perimetre_abdominal_T2_4,best.)); -end; -fetus_abd_circum_t2=outcome_val;", -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_156,complete,final,,"pelagie_dosage12$chol_156<-ifelse(pelagie_dosage12$age_exam_mois >=156 & pelagie_dosage12$age_exam_mois<157,pelagie_dosage12$Q12_Cholesterol_total,NA)", -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_157,complete,final,,"pelagie_dosage12$chol_157<-ifelse(pelagie_dosage12$age_exam_mois >=157 & pelagie_dosage12$age_exam_mois<158,pelagie_dosage12$Q12_Cholesterol_total,NA)", -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T3_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","perimetre_abdominal_T3_2,perimetre_abdominal_T3_3,perimetre_abdominal_T3_4,perimetre_abdominal_T3_5",ATHLETE_CDM,outcome_ath,fetus_abd_circum_t3,partial,final,,"if period_rank=""T3_1"" then do; - outcome_val=strip(put(perimetre_abdominal_T3_1,best.)); -end; -else if period_rank=""T3_2"" then do; - outcome_val=strip(put(perimetre_abdominal_T3_2,best.)); -end; -else if period_rank=""T3_3"" then do; - outcome_val=strip(put(perimetre_abdominal_T3_3,best.)); -end; -else if period_rank=""T3_4"" then do; - outcome_val=strip(put(perimetre_abdominal_T3_4,best.)); -end; -else if period_rank=""T3_5"" then do; - outcome_val=strip(put(perimetre_abdominal_T3_5,best.)); -end; -fetus_abd_circum_t3=outcome_val;", -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,head_circum_sdsWHO_t3,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,abd_circum_sdsWHO_t3,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q0,DEBGROSF,LifeCycle_CDM,core,ga_us,complete,final,,ga_us=int(((ddn_2021-DEBGROSF)/7)+2)*7, -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T3_1,"Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893,Ultrasound_all_SLC_20220428_893","longueur_femur_T3_2,longueur_femur_T3_3,longueur_femur_T3_4,longueur_femur_T3_5",ATHLETE_CDM,outcome_ath,fetus_femur_length_t3,partial,final,,"if period_rank=""T3_1"" then do; - outcome_val=strip(put(longueur_femur_T3_1,best.)); -end; -else if period_rank=""T3_2"" then do; - outcome_val=strip(put(longueur_femur_T3_2,best.)); -end; -else if period_rank=""T3_3"" then do; - outcome_val=strip(put(longueur_femur_T3_3,best.)); -end; -else if period_rank=""T3_4"" then do; - outcome_val=strip(put(longueur_femur_T3_4,best.)); -end; -else if period_rank=""T3_5"" then do; - outcome_val=strip(put(longueur_femur_T3_5,best.)); -end; -fetus_femur_length_t3=outcome_val;", -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,head_circum_sdsWHO_t2,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,abd_circum_sdsWHO_t2,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,femur_length_sdsWHOEUR_t2,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,weight_sdsWHOEUR_t2,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -Sepages,Ultrasound_all_SLC_20220428_893,,,,ATHLETE_CDM,outcome_ath,biparietal_diam_sdsWHO_t3,partial,final,,RScript standardization fetal growth ATHLETE_v2.1, -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320",,,LifeCycle_CDM,outcome,adhd_raw_1,partial,final,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?","array HY{6} b304 b309 b311 b312 b316 b320; -HYi=N(of HY{*}); HYp=HYi/6; -if HYp>=0.75 then do; -score_HY2_raw=sum(of HY{*}); -score_HY2_mean=score_HY2_raw/HYi; -score_HY2_pro=round(score_HY2_mean*6,1); -end; -else do; score_HY2_raw=.; score_HY2_mean=.; score_HY2_pro=.; -end; -array adhd_raw (3) adhd_raw_1-adhd_raw_3; -array adhd_pro (3) adhd_pro_1-adhd_pro_3; -array adhd_mean (3) adhd_avg_1-adhd_avg_3; -do i=1 to 3; -if round_SDQ_age2=i then do; -adhd_raw(i)=score_HY2_raw; -adhd_pro(i)=score_HY2_pro; -adhd_mean(i)=score_HY2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320",,,LifeCycle_CDM,outcome,adhd_raw_2,partial,final,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?","array HY{6} b304 b309 b311 b312 b316 b320; -HYi=N(of HY{*}); HYp=HYi/6; -if HYp>=0.75 then do; -score_HY2_raw=sum(of HY{*}); -score_HY2_mean=score_HY2_raw/HYi; -score_HY2_pro=round(score_HY2_mean*6,1); -end; -else do; score_HY2_raw=.; score_HY2_mean=.; score_HY2_pro=.; -end; -array adhd_raw (3) adhd_raw_1-adhd_raw_3; -array adhd_pro (3) adhd_pro_1-adhd_pro_3; -array adhd_mean (3) adhd_avg_1-adhd_avg_3; -do i=1 to 3; -if round_SDQ_age2=i then do; -adhd_raw(i)=score_HY2_raw; -adhd_pro(i)=score_HY2_pro; -adhd_mean(i)=score_HY2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320",,,LifeCycle_CDM,outcome,adhd_raw_3,partial,final,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?","array HY{6} b304 b309 b311 b312 b316 b320; -HYi=N(of HY{*}); HYp=HYi/6; -if HYp>=0.75 then do; -score_HY2_raw=sum(of HY{*}); -score_HY2_mean=score_HY2_raw/HYi; -score_HY2_pro=round(score_HY2_mean*6,1); -end; -else do; score_HY2_raw=.; score_HY2_mean=.; score_HY2_pro=.; -end; -array adhd_raw (3) adhd_raw_1-adhd_raw_3; -array adhd_pro (3) adhd_pro_1-adhd_pro_3; -array adhd_mean (3) adhd_avg_1-adhd_avg_3; -do i=1 to 3; -if round_SDQ_age2=i then do; -adhd_raw(i)=score_HY2_raw; -adhd_pro(i)=score_HY2_pro; -adhd_mean(i)=score_HY2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_151,complete,final,,hdlcmes_151=0;, -PELAGIE,harmonized,ADHD_PRO_12,,,LifeCycle_CDM,outcome,adhd_pc_12,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ12$adhd_pc_12<-xtile(SDQ12$adhd_pro_12, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,adhd_age_7,complete,final,,adhd_age_7=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,pelagie_exam12,"EX51,EX60,EX69",,,LifeCycle_CDM,outcome,hipcirc_146,complete,final,,"%macro mesure(m1,m2,m3,dif,dif1,dif2,mesure_moy,mindif); -if &m1 ne . and &m2 ne . then &dif=&m1-&m2; -if &m3 ne . then do; -&dif1=&m1-&m3; -&dif2=&m2-&m3; -if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif1) then &mesure_moy= (&m1+&m3)/2; -else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif2) then &mesure_moy= (&m2+&m3)/2; -else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif)then &mesure_moy= (&m1+&m2)/2; -end; -else &mesure_moy= (&m1+&m2)/2; -&mindif=min(abs(&dif1),abs(&dif2),abs(&dif)); -%mend mesure; - -%mesure(ex51,ex60,ex69,difhanch1,difhanch2,difhanch3,T_hanche,mindifth); - -do i = 146 to 158 ; - if age_exam_mois eq i then do; - if T_hanche ne . then do;hipcirc_[i]=T_hanche;hipcircage_[i]=age_exam_jour;hipcircmes_[i]=0;ed; - end; -end;", -PELAGIE,pelagie_exam12,"EX51,EX60,EX69",,,LifeCycle_CDM,outcome,hipcirc_147,complete,final,,"%macro mesure(m1,m2,m3,dif,dif1,dif2,mesure_moy,mindif); -if &m1 ne . and &m2 ne . then &dif=&m1-&m2; -if &m3 ne . then do; -&dif1=&m1-&m3; -&dif2=&m2-&m3; -if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif1) then &mesure_moy= (&m1+&m3)/2; -else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif2) then &mesure_moy= (&m2+&m3)/2; -else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif)then &mesure_moy= (&m1+&m2)/2; -end; -else &mesure_moy= (&m1+&m2)/2; -&mindif=min(abs(&dif1),abs(&dif2),abs(&dif)); -%mend mesure; - -%mesure(ex51,ex60,ex69,difhanch1,difhanch2,difhanch3,T_hanche,mindifth); - -do i = 146 to 158 ; - if age_exam_mois eq i then do; - if T_hanche ne . then do;hipcirc_[i]=T_hanche;hipcircage_[i]=age_exam_jour;hipcircmes_[i]=0;ed; - end; -end;", -PELAGIE,pelagie_exam12,"EX51,EX60,EX69",,,LifeCycle_CDM,outcome,hipcirc_148,complete,final,,"%macro mesure(m1,m2,m3,dif,dif1,dif2,mesure_moy,mindif); -if &m1 ne . and &m2 ne . then &dif=&m1-&m2; -if &m3 ne . then do; -&dif1=&m1-&m3; -&dif2=&m2-&m3; -if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif1) then &mesure_moy= (&m1+&m3)/2; -else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif2) then &mesure_moy= (&m2+&m3)/2; -else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif)then &mesure_moy= (&m1+&m2)/2; -end; -else &mesure_moy= (&m1+&m2)/2; -&mindif=min(abs(&dif1),abs(&dif2),abs(&dif)); -%mend mesure; - -%mesure(ex51,ex60,ex69,difhanch1,difhanch2,difhanch3,T_hanche,mindifth); - -do i = 146 to 158 ; - if age_exam_mois eq i then do; - if T_hanche ne . then do;hipcirc_[i]=T_hanche;hipcircage_[i]=age_exam_jour;hipcircmes_[i]=0;ed; - end; -end;", -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_152,complete,final,,hdlcmes_152=0;, -PELAGIE,pelagie_exam12,"AGE_EXAM_MOIS,AGE_EXAM_JOUR",,,LifeCycle_CDM,outcome,hipcircage_151,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; - if T_hanche ne . then do;hipcirc_[i]=T_hanche;hipcircage_[i]=age_exam_jour;hipcircmes_[i]=0;end; - end; -end;", -PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle_CDM,outcome,subscapsfmes_157,complete,final,,subscapsfmes_157=0;, -PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle_CDM,outcome,subscapsfmes_158,complete,final,,subscapsfmes_158=0;, -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_151,complete,final,,cholmes_151=0;, -PELAGIE,pelagie_exam12,"EX52,EX61,EX70",,,LifeCycle_CDM,outcome,tricepsf_146,complete,final,,"%macro mesure(m1,m2,m3,dif,dif1,dif2,mesure_moy,mindif); -if &m1 ne . and &m2 ne . then &dif=&m1-&m2; -if &m3 ne . then do; -&dif1=&m1-&m3; -&dif2=&m2-&m3; -if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif1) then &mesure_moy= (&m1+&m3)/2; -else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif2) then &mesure_moy= (&m2+&m3)/2; -else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif)then &mesure_moy= (&m1+&m2)/2; -end; -else &mesure_moy= (&m1+&m2)/2; -&mindif=min(abs(&dif1),abs(&dif2),abs(&dif)); -%mend mesure; - -%mesure(ex52,ex61,ex70,diftri1,diftri2,diftri3,Pli_tricipital,mindifpt); - -do i = 146 to 158 ; - if age_exam_mois eq i then do; -if Pli_tricipital ne . then do;tricepsf_[i]=Pli_tricipital;tricepsfage_[i]=age_exam_jour;tricepsfmes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_exam12,"EX52,EX61,EX70",,,LifeCycle_CDM,outcome,tricepsf_147,complete,final,,"%macro mesure(m1,m2,m3,dif,dif1,dif2,mesure_moy,mindif); -if &m1 ne . and &m2 ne . then &dif=&m1-&m2; -if &m3 ne . then do; -&dif1=&m1-&m3; -&dif2=&m2-&m3; -if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif1) then &mesure_moy= (&m1+&m3)/2; -else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif2) then &mesure_moy= (&m2+&m3)/2; -else if min(abs(&dif1),abs(&dif2),abs(&dif)) eq abs(&dif)then &mesure_moy= (&m1+&m2)/2; -end; -else &mesure_moy= (&m1+&m2)/2; -&mindif=min(abs(&dif1),abs(&dif2),abs(&dif)); -%mend mesure; - -%mesure(ex52,ex61,ex70,diftri1,diftri2,diftri3,Pli_tricipital,mindifpt); - -do i = 146 to 158 ; - if age_exam_mois eq i then do; -if Pli_tricipital ne . then do;tricepsf_[i]=Pli_tricipital;tricepsfage_[i]=age_exam_jour;tricepsfmes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,hdlcage_158,complete,final,,hdlcage_158=age_exam_jour;, -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_146,complete,final,,hdlcmes_146=0;, -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_147,complete,final,,hdlcmes_147=0;, -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_148,complete,final,,hdlcmes_148=0;, -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_149,complete,final,,hdlcmes_149=0;, -PELAGIE,harmonized,HDLCMES_146,,,LifeCycle_CDM,outcome,hdlcmes_150,complete,final,,hdlcmes_150=0;, -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_147,complete,final,,"pelagie_dosage12$chol_147<-ifelse(pelagie_dosage12$age_exam_mois >=147 & pelagie_dosage12$age_exam_mois<148,pelagie_dosage12$Q12_Cholesterol_total,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_155,complete,final,,cholage_155=age_exam_jour;, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_159,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_146,complete,final,,cholmes_146=0;, -PELAGIE,pelagie_q0,"M21,DEBGROSF",maj_ddn_2021,DDN_2021,LifeCycle_CDM,core,ga_bj,complete,final,,"ga_bj=m21; -if ga_bj=. Then ga_bj=ga_us;", -PELAGIE,maj_ddn_2021,DDN_2021,datenaisspere,DATE_NAIS_PERE,LifeCycle_CDM,core,agebirth_p_y,complete,final,Father date of birth provided from the 6 and/or 12-year-old follow-up.,agebirth_p_y=int((ddn_2021-Date_nais_Pere)/365.2422);,Father date of birth provided from the 6 and/or 12-year-old follow-up. -PELAGIE,harmonized,OCCUP_F1_13,,,LifeCycle_CDM,core,occup_f1_fath13,partial,final,Biological father by default,if occup_f1_13 ne . then occup_f1_fath13=1;,Biological father by default -PELAGIE,maj_ddn_2021,DDN_2021,datenaisspere,DATE_NAIS_PERE,LifeCycle_CDM,core,agebirth_p_d,complete,final,Father date of birth provided from the 6 and/or 12-year-old follow-up.,agebirth_p_d=ddn_2021-Date_nais_Pere;,Father date of birth provided from the 6 and/or 12-year-old follow-up. -PELAGIE,harmonized,AGEBIRTH_P_Y,,,LifeCycle_CDM,core,agebirth_p_fath,partial,final,Biological father by default,if agebirth_p_y ne . then agebirth_p_fath=1;,Biological father by default -PELAGIE,harmonized,COMMENT,,,LifeCycle_CDM,core,death_p,partial,final,non exhaustive information,from free text,non exhaustive information -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_160,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,COMMENT,,,LifeCycle_CDM,core,death_p_age,partial,final,"non exhaustive information; we have the month and year of the father's death. To calculate the age of the child, we have imputed the day by the value 15.",from free text,"non exhaustive information; we have the month and year of the father's death. To calculate the age of the child, we have imputed the day by the value 15." -PELAGIE,harmonized,COMMENT,,,LifeCycle_CDM,core,death_p_fath,partial,final,"non exhaustive information : received on commentary, email, … (not systematically recorded)",from free text,"non exhaustive information : received on commentary, email, … (not systematically recorded)" -PELAGIE,harmonized,WEIGHT_F1,,,LifeCycle_CDM,core,weight_f1_fath,partial,final,Biological father by default,if weight_f1 ne . then do;weight_mes_f1=1;weight_f1_fath=1;end;,Biological father by default -PELAGIE,pelagie_q12,SP_Q2_2,,,LifeCycle_CDM,core,height_f1,complete,final,,height_f1=sp_q2_2;, -PELAGIE,harmonized,HEIGHT_F1,,,LifeCycle_CDM,core,height_mes_f1,complete,final,,if height_f1 ne . then do;height_mes_f1=1;height_f1_fath=1;end;, -PELAGIE,harmonized,OCCUP_F1_6,,,LifeCycle_CDM,core,occup_f1_fath6,partial,final,Biological father by default,if occup_f1_6 ne . then occup_f1_fath6=1;,Biological father by default -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_148,complete,final,,cholmes_148=0;, -PELAGIE,pelagie_q0,"M27,M33",,,LifeCycle_CDM,core,birth_length,complete,final,,"birth_length=m27; -if m22 eq 2 and p1 eq 2 then birth_length=m33;", -PELAGIE,pelagie_q2,C614,,,LifeCycle_CDM,core,occup_f1_1,partial,final,"occup_f_1, _2, or _3 was filled in according to the exact age of the child when the parents answered to the 2yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""","if c614 eq 3 then occup_f1_2=1; -else if c614 eq 0 then occup_f1_2=4; -else if c614 eq 1 then occup_f1_2=3; -else if c614 eq 2 then occup_f1_2=6; - -if ageq2 eq 1 then do; -occup_f1_1=occup_f1_2;occup_f1_2=.; -end; -if ageq2 eq 3 then do; -occup_f1_3=occup_f1_2;occup_f1_2=.; -end;","occup_f_1, _2, or _3 was filled in according to the exact age of the child when the parents answered to the 2yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""" -PELAGIE,pelagie_q12,APP_Q4,,,LifeCycle_CDM,core,edu_f1_12,complete,final,,"if APP_q4 eq 1 then edu_f1_12=3; -else if APP_q4 in (2) then edu_f1_12=2; -else if APP_q4 in (3 4 5 6) then edu_f1_12=1; - -if ageq12 eq 13 then do; -edu_f1_13=edu_f1_12;edu_f1_12=.; -end; - -if ageq12 eq 14 then do; -edu_f1_14=edu_f1_12;edu_f1_12=.; -end;", -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_161,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_162,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_163,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,C614,,,LifeCycle_CDM,core,occup_f1_2,partial,final,"occup_f_1, _2, or _3 was filled in according to the exact age of the child when the parents answered to the 2yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""","if c614 eq 3 then occup_f1_2=1; -else if c614 eq 0 then occup_f1_2=4; -else if c614 eq 1 then occup_f1_2=3; -else if c614 eq 2 then occup_f1_2=6; - -if ageq2 eq 1 then do; -occup_f1_1=occup_f1_2;occup_f1_2=.; -end; -if ageq2 eq 3 then do; -occup_f1_3=occup_f1_2;occup_f1_2=.; -end;","occup_f_1, _2, or _3 was filled in according to the exact age of the child when the parents answered to the 2yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""" -PELAGIE,harmonized,M_CREATININE_LOD_T1,,,ATHLETE_CDM,chemicals_ath,m_creatinine_lod_t1,complete,final,,BDD_creatinine$m_creatinine_lod_t1<-NA, -PELAGIE,harmonized,M_CREATININE_LOD_T2,,,ATHLETE_CDM,chemicals_ath,m_creatinine_lod_t2,complete,final,,BDD_creatinine$m_creatinine_lod_t2<-NA, -PELAGIE,BDD_creatinine,CHILDCREAT,,,ATHLETE_CDM,chemicals_ath,c_creatinine_raw_6,complete,final,,"BDD_creatinine$c_creatinine_raw_6<-ifelse(!is.na(BDD_creatinine$CHILDCREAT),BDD_creatinine$CHILDCREAT,NA)", -PELAGIE,harmonized,C_CREATININE_LOD_6,,,ATHLETE_CDM,chemicals_ath,c_creatinine_lod_6,complete,final,,BDD_creatinine$c_creatinine_lod_6<-NA, -PELAGIE,BDD_mercure,HG,,,ATHLETE_CDM,chemicals_ath,m_hg_raw_t3,complete,final,,BDD_mercure$m_hg_raw_t3<-BDD_mercure$Hg, -PELAGIE,harmonized,M_HG_RAW_T3,,,ATHLETE_CDM,chemicals_ath,m_hg_lod_t3,complete,final,,"BDD_mercure$m_hg_lod_t3<-ifelse(!is.na(BDD_mercure$m_hg_raw_t3),0.02,NA)", -AP,AP,,,,OOM_CDM,VISIT_OCCURRENCE,specialty_of_visit,complete,,Leave empty,, -PELAGIE,BDD_cotinine,SGURINEF,harmonized,M_COTININE_RAW_T2,ATHLETE_CDM,chemicals_ath,m_cotinine_lod_t2,complete,final,,"BDD_cotinine$m_cotinine_lod_t2<-ifelse(!is.na(BDD_cotinine$m_cotinine_raw_t2) & BDD_cotinine$SGurineF>10,0.01,NA)", -PELAGIE,BDD_cotinine,CHILDCOTININE,,,ATHLETE_CDM,chemicals_ath,c_cotinine_raw_6,complete,final,,BDD_cotinine$c_cotinine_raw_6<-BDD_cotinine$CHILDCOTININE, -PELAGIE,harmonized,C_COTININE_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_cotinine_lod_6,complete,final,,"BDD_cotinine$c_cotinine_lod_6<-ifelse(!is.na(BDD_cotinine$c_cotinine_raw_6y),0.01,NA)", -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age148,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_157,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_158,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SP_Q4_2_5,,,LifeCycle_CDM,core,dia_bf,partial,final,Biological/social father not specified. Data collected at the 12yo follow-up,"if SP_Q4_2_5 eq 1 then dia_bf=4; -else if SP_Q4_2_5 eq 0 then dia_bf=1;",Biological/social father not specified. Data collected at the 12yo follow-up -PELAGIE,pelagie_q6,"QS6_C36,QS6_C36_CHEZ_LEQUEL",pelagie_q12,SP_Q4_2_1,LifeCycle_CDM,core,asthma_bf,partial,final,Biological/social father not specified; data collected at 6 and/or 12yo,"if QS6_C36_Chez_Lequel in (2,3) or SP_Q4_2_1 eq 1 then asthma_bf=1; -else if QS6_C36 ne . or SP_Q4_2_1 ne . then asthma_bf=0;",Biological/social father not specified; data collected at 6 and/or 12yo -PELAGIE,pelagie_q0,"M26,M32",,,LifeCycle_CDM,core,birth_weight,complete,final,,"birth_weight=m26; -if m22 eq 2 and p1 eq 2 then birth_weight=m32;", -PELAGIE,harmonized,COMMENT,,,LifeCycle_CDM,core,death_child_age,partial,final,Non-exhaustive,from free text,Non-exhaustive -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,adhd_age_8,complete,final,,adhd_age_8=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,pelagie_q0,V166,,,LifeCycle_CDM,core,prepreg_weight,complete,final,,prepreg_weight=v166;, -PELAGIE,pelagie_q0,"V194,V197,V198",,,LifeCycle_CDM,core,smk_p,partial,final,Biological/social father not specified; question missing in the first version of the questionnaire (= high missing rate),"mois_tabac_pere=v197; annee_tabac_pere=v198; - -if v198 ne . & v197=. then mois_tabac_pere=""12""; - /* creation de la date d'arret du tabac du pere*/ - if v197 ne . or v198 ne . then date_arret_tab_pere=""15/""!!mois_tabac_pere!!""/""!!annee_tabac_pere; - else if v197=. & v198=. then date_arret_tab_pere=""""; - if date_arret_tabac_pere ne . then date_arret_tabac_pere=input(date_arret_tab_pere,ddmmyy10.); - /* creation de la variable sur le tabagisme du pere au cours de la grossesse */ - if v194=0 then smk_p=0; - else if v194=. and v197=. and v198=. then smk_p=.; - else if v194=1 and date_arret_tabac_pere=. then smk_p=1; - else if v194=1 and date_arret_tabac_pere ne . and date_arret_tabac_pere>debgrosf then smk_p=1; - else if v194=1 and date_arret_tabac_pere ne . and date_arret_tabac_pere<=debgrosf then smk_p=0;",Biological/social father not specified; question missing in the first version of the questionnaire (= high missing rate) -PELAGIE,pelagie_q0,"V195,V194,V197,V198",,,LifeCycle_CDM,core,smk_cig_p,partial,final,Biological/social father not specified; question missing in the first version of the questionnaire (= high missing rate),"if smk_p eq 1 and v195 eq . then smk_cig_p=.; -else if smk_p eq 1 and v195 ne . and v195 lt 10 then smk_cig_p=1; -else if smk_p eq 1 and v195 ge 10 then smk_cig_p=2; -else if smk_p eq 0 then smk_cig_p=0;",Biological/social father not specified; question missing in the first version of the questionnaire (= high missing rate) -PELAGIE,harmonized,SMK_P,,,LifeCycle_CDM,core,smk_fath,partial,final,Biological father by default,if smk_p ne . then smk_fath=1;,Biological father by default -PELAGIE,maj_ddn_2021,DDN_2021,,,LifeCycle_CDM,core,birth_month,complete,final,,birth_month=month(ddn_2021);, -PELAGIE,maj_ddn_2021,DDN_2021,,,LifeCycle_CDM,core,birth_year,complete,final,,birth_year=year(ddn_2021);, -PELAGIE,pelagie_q0,"V22,V27,V32,V37,V42,V47,V203,V208",,,LifeCycle_CDM,core,sibling_pos,complete,final,,"nv=.; -if parity_m ne . then nv=1; -if v22=1 then nv=nv+1; -if v27=1 then nv=nv+1; -if v32=1 then nv=nv+1; -if v37=1 then nv=nv+1; -if v42=1 then nv=nv+1; -if v47=1 then nv=nv+1; -if v203=1 then nv=nv+1; -if v208=1 then nv=nv+1; -sibling_pos=nv; -if sibling_pos ge 5 then sibling_pos=5;", -PELAGIE,harmonized,COMMENT,,,LifeCycle_CDM,core,death_child,partial,final,Non-exhaustive,from free text,Non-exhaustive -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,adhd_age_11,complete,final,,adhd_age_11=(DATE-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,adhd_age_12,complete,final,,adhd_age_12=(DATE-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,adhd_age_13,complete,final,,adhd_age_13=(DATE-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,adhd_age_14,complete,final,,adhd_age_14=(DATE-ddn_2021)/365.2422;, -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_147,complete,final,,cholmes_147=0;, -PELAGIE,harmonized,ADHD_INSTR_1,,,LifeCycle_CDM,outcome,adhd_instr_1,partial,final,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?",instr=13;,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,harmonized,ADHD_INSTR_2,,,LifeCycle_CDM,outcome,adhd_instr_2,partial,final,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?",instr=13;,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q0,V1_V2_V3,,,LifeCycle_CDM,core,mother_id,complete,final,,random number, -PELAGIE,harmonized,ADHD_INSTR_3,,,LifeCycle_CDM,outcome,adhd_instr_3,partial,final,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?",instr=13;,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,harmonized,ADHD_INSTR_5,,,LifeCycle_CDM,outcome,adhd_instr_5,complete,final,,instr=47;, -PELAGIE,harmonized,ADHD_INSTR_6,,,LifeCycle_CDM,outcome,adhd_instr_6,complete,final,,instr=47;, -PELAGIE,pepsy,WISCC,,,LifeCycle_CDM,outcome,nvi_pro_6,partial,final,Only 1 task : Cubes to assess Perceptive Reasoning,"array NV{1} WISCc; NVi=N(of NV{*}); NVp=NVi/1; if NVp>=0.75 then do; -NV12_raw=sum(of NV{*}); -NV12_mean=NV12_raw/NVi; -NV12_pro=round(NV12_mean*1,1); -end;",Only 1 task : Cubes to assess Perceptive Reasoning -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_152,complete,final,,cholmes_152=0;, -SPF,SPF,,,,OOM_CDM,MEDICINES,prescriber_speciality_vocabulary,complete,,,, -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_154,complete,final,,cholmes_154=0;, -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_155,complete,final,,cholmes_155=0;, -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_156,complete,final,,cholmes_156=0;, -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_157,complete,final,,cholmes_157=0;, -PELAGIE,harmonized,CHOLMES_146,,,LifeCycle_CDM,outcome,cholmes_158,complete,final,,cholmes_158=0;, -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_146,complete,final,,"pelagie_dosage12$triglyceridesage_146<-ifelse(pelagie_dosage12$age_exam_mois<147 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_147,complete,final,,"pelagie_dosage12$triglyceridesage_147<-ifelse(pelagie_dosage12$age_exam_mois >=147 & pelagie_dosage12$age_exam_mois<148 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -PELAGIE,pelagie_q0,"M25,M26,M32,M21,DEBGROSF",maj_ddn_2021,DDN_2021,LifeCycle_CDM,core,weight_who_ga,complete,final,,"term_mater_2021=ga_bj/7; -if birth_weight ne . then do; - if sex eq 1 and term_mater_2021 = 17 and birth_weight <= 152 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 17 and 152 =219 then weight_who_ga=3; - if sex eq 1 and term_mater_2021 = 18 and birth_weight <= 188 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 18 and 188 =271 then weight_who_ga=3; - if sex eq 1 and term_mater_2021 = 19 and birth_weight <= 232 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 19 and 232 =333 then weight_who_ga=3; - if sex eq 1 and term_mater_2021 = 20 and birth_weight <= 282 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 20 and 282 =405 then weight_who_ga=3; - if sex eq 1 and term_mater_2021 = 21 and birth_weight <= 341 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 21 and 341 =489 then weight_who_ga=3; - if sex eq 1 and term_mater_2021 = 22 and birth_weight <= 408 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 22 and 408 =586 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 23 and birth_weight <= 484 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 23 and 484 =695 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 24 and birth_weight <= 570 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 24 and 570 =818 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 25 and birth_weight <= 666 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 25 and 666 =956 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 26 and birth_weight <= 772 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 26 and 772 =1109 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 27 and birth_weight <= 888 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 27 and 888 =1276 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 28 and birth_weight <= 1014 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 28 and 1014 =1458 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 29 and birth_weight <= 1149 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 29 and 1149 =1654 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 30 and birth_weight <= 1293 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 30 and 1293 =1863 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 31 and birth_weight <= 1445 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 31 and 1445 =2085 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 32 and birth_weight <= 1605 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 32 and 1605 =2319 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 33 and birth_weight <= 1770 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 33 and 1770 =2562 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 34 and birth_weight <= 1941 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 34 and 1941 =2814 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 35 and birth_weight <= 2114 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 35 and 2114 =3072 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 36 and birth_weight <= 2290 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 36 and 2290 =3334 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 37 and birth_weight <= 2466 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 37 and 2466 =3598 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 38 and birth_weight <= 2641 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 38 and 2641 =3863 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 39 and birth_weight <= 2813 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 39 and 2813 =4125 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 40 and birth_weight <= 2880 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 40 and 2880 4251 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 41 and birth_weight <= 2921 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 41 and 2921 4459 then weight_who_ga=3; - - if sex eq 1 and term_mater_2021 = 42 and birth_weight <= 2845 then weight_who_ga=1; - if sex eq 1 and term_mater_2021 = 42 and 2845 4659 then weight_who_ga=3; -/*female*/ - if sex eq 2 and term_mater_2021 = 17 and birth_weight <= 145 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 17 and 145 =211 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 18 and birth_weight <= 180 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 18 and 180 =261 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 19 and birth_weight <= 221 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 19 and 221 =319 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 20 and birth_weight <= 269 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 20 and 269 =387 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 21 and birth_weight <= 324 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 21 and 324 =466 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 22 and birth_weight <= 388 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 22 and 388 =557 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 23 and birth_weight <= 461 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 23 and 461 =660 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 24 and birth_weight <= 542 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 24 and 542 =776 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 25 and birth_weight <= 634 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 25 and 634 =907 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 26 and birth_weight <= 735 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 26 and 735 =1051 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 27 and birth_weight <= 846 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 27 and 846 =1210 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 28 and birth_weight <= 967 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 28 and 967 =1383 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 29 and birth_weight <= 1096 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 29 and 1096 =1570 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 30 and birth_weight <= 1234 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 30 and 1234 =1770 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 31 and birth_weight <= 1379 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 31 and 1379 =1984 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 32 and birth_weight <= 1530 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 32 and 1530 =2209 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 33 and birth_weight <= 1687 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 33 and 1687 =2445 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 34 and birth_weight <= 1847 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 34 and 1847 =2690 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 35 and birth_weight <= 2008 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 35 and 2008 =2943 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 36 and birth_weight <= 2169 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 36 and 2169 =3201 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 37 and birth_weight <= 2329 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 37 and 2329 =3462 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 38 and birth_weight <= 2484 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 38 and 2484 =3725 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 39 and birth_weight <= 2633 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 39 and 2633 =3988 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 40 and birth_weight <= 2748 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 40 and 2748 4060 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 41 and birth_weight <= 2835 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 41 and 2835 4171 then weight_who_ga=3; - - if sex eq 2 and term_mater_2021 = 42 and birth_weight <= 2834 then weight_who_ga=1; - if sex eq 2 and term_mater_2021 = 42 and 2834 4200 then weight_who_ga=3; -end;", -PELAGIE,pelagie_q0,V168,,,LifeCycle_CDM,core,cohab_0,partial,final,"cohab_0 corresponds to the status at inclusion (1st and 2nd trimesters of pregnancy) and is corrected by the status at birth when reported in the follow-ups at 2, 6 or 12 years of age.",cohab_0=v168,"cohab_0 corresponds to the status at inclusion (1st and 2nd trimesters of pregnancy) and is corrected by the status at birth when reported in the follow-ups at 2, 6 or 12 years of age." -PELAGIE,pelagie_q2,C618,,,LifeCycle_CDM,core,occup_m_2,complete,final,,"if c618 in (6 1) then occup_m_2=1; -else if c618 eq 3 then occup_m_2=4; -else if c618 in (2 0) then occup_m_2=5; -else if c618 eq 4 then occup_m_2=3; -else if c618 eq 5 then occup_m_2=6;", -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,ext_age_12,complete,final,,ext_age_12=(DATE-ddn_2021)/365.2422;, -PELAGIE,pelagie_q2,"C611,C612",,,LifeCycle_CDM,core,cohab_1,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if c611 in (0, 1, 2) and c612 in (3, 4) then splitup_q2=1; -else if c611 eq 3 then splitup_q2=0; -if c611 in (0, 1, 2) then cohab_2=2; -else if c611 eq 3 then cohab_2=1;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date." -PELAGIE,pelagie_q12,SP_Q1_2,,,LifeCycle_CDM,core,weight_f1,complete,final,data collected at the 12yo follow-up,weight_f1=sp_q1_2;,data collected at the 12yo follow-up -PELAGIE,pelagie_q2,"C611,C612",,,LifeCycle_CDM,core,cohab_2,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if c611 in (0, 1, 2) and c612 in (3, 4) then splitup_q2=1; -else if c611 eq 3 then splitup_q2=0; -if c611 in (0, 1, 2) then cohab_2=2; -else if c611 eq 3 then cohab_2=1;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date." -PELAGIE,pelagie_q0,V162,,,LifeCycle_CDM,core,cob_m,complete,final,Women born in the French Overseas Departments and Territories were considered as born in the country of the cohort,from free text,Women born in the French Overseas Departments and Territories were considered as born in the country of the cohort -PELAGIE,harmonized,AGGR_INSTR_14,,,ATHLETE_CDM,outcome_ath,aggr_instr_14,complete,final,,instr=47;, -PELAGIE,pelagie_q2,"C611,C612",,,LifeCycle_CDM,core,cohab_3,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if c611 in (0, 1, 2) and c612 in (3, 4) then splitup_q2=1; -else if c611 eq 3 then splitup_q2=0; -if c611 in (0, 1, 2) then cohab_2=2; -else if c611 eq 3 then cohab_2=1;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date." -PELAGIE,pelagie_q6,"QE6_A1,QE6_A4,QE6_A4_DATE_AAMM",,,LifeCycle_CDM,core,cohab_5,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if qe6_a4_date_aamm ne . and qe6_a4_date_aamm ge 100 then -nb_an_splitup=int(qe6_a4_date_aamm/100); -if qe6_a4_date_aamm ne . and qe6_a4_date_aamm ge 100 then -nb_mois_splitup=qe6_a4_date_aamm-(int(qe6_a4_date_aamm/100)*100); -if qe6_a4_date_aamm ne . and qe6_a4_date_aamm lt 100 then do;nb_an_splitup=0;nb_mois_splitup=qe6_a4_date_aamm;end; -if qe6_a4 in (3 4) then splitup_q6=1; -else if nb_mois_splitup ge 0 then splitup_q6=1; - -if qe6_a1 eq 1 then do;cohab_6=1;splitup_q6=0;end; -else if qe6_a1 eq 0 then cohab_6=2;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date." -PELAGIE,pelagie_q6,QE6_A7,,,LifeCycle_CDM,core,occup_m_6,complete,final,,"if qe6_a7 in (6 1) then occup_m_6=1; -else if qe6_a7 eq 3 then occup_m_6=4; -else if qe6_a7 in (2 0) then occup_m_6=5; -else if qe6_a7 eq 4 then occup_m_6=3; -else if qe6_a7 eq 5 then occup_m_6=6;", -PELAGIE,pelagie_q2,C618,,,LifeCycle_CDM,core,occup_m_3,complete,final,,"if c618 in (6 1) then occup_m_2=1; -else if c618 eq 3 then occup_m_2=4; -else if c618 in (2 0) then occup_m_2=5; -else if c618 eq 4 then occup_m_2=3; -else if c618 eq 5 then occup_m_2=6;", -PELAGIE,pelagie_q6,QE6_A7,,,LifeCycle_CDM,core,occup_m_5,complete,final,,"if qe6_a7 in (6 1) then occup_m_6=1; -else if qe6_a7 eq 3 then occup_m_6=4; -else if qe6_a7 in (2 0) then occup_m_6=5; -else if qe6_a7 eq 4 then occup_m_6=3; -else if qe6_a7 eq 5 then occup_m_6=6;", -PELAGIE,harmonized,WEIGHT_F1,,,LifeCycle_CDM,core,weight_mes_f1,complete,final,,if weight_f1 ne . then do;weight_mes_f1=1;weight_f1_fath=1;end;, -PELAGIE,pelagie_q6,"QE6_A1,QE6_A4,QE6_A4_DATE_AAMM",,,LifeCycle_CDM,core,cohab_6,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if qe6_a4_date_aamm ne . and qe6_a4_date_aamm ge 100 then -nb_an_splitup=int(qe6_a4_date_aamm/100); -if qe6_a4_date_aamm ne . and qe6_a4_date_aamm ge 100 then -nb_mois_splitup=qe6_a4_date_aamm-(int(qe6_a4_date_aamm/100)*100); -if qe6_a4_date_aamm ne . and qe6_a4_date_aamm lt 100 then do;nb_an_splitup=0;nb_mois_splitup=qe6_a4_date_aamm;end; -if qe6_a4 in (3 4) then splitup_q6=1; -else if nb_mois_splitup ge 0 then splitup_q6=1; - -if qe6_a1 eq 1 then do;cohab_6=1;splitup_q6=0;end; -else if qe6_a1 eq 0 then cohab_6=2;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date." -PELAGIE,pelagie_q6,"QE6_A1,QE6_A4,QE6_A4_DATE_AAMM",,,LifeCycle_CDM,core,cohab_7,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if qe6_a4_date_aamm ne . and qe6_a4_date_aamm ge 100 then -nb_an_splitup=int(qe6_a4_date_aamm/100); -if qe6_a4_date_aamm ne . and qe6_a4_date_aamm ge 100 then -nb_mois_splitup=qe6_a4_date_aamm-(int(qe6_a4_date_aamm/100)*100); -if qe6_a4_date_aamm ne . and qe6_a4_date_aamm lt 100 then do;nb_an_splitup=0;nb_mois_splitup=qe6_a4_date_aamm;end; -if qe6_a4 in (3 4) then splitup_q6=1; -else if nb_mois_splitup ge 0 then splitup_q6=1; - -if qe6_a1 eq 1 then do;cohab_6=1;splitup_q6=0;end; -else if qe6_a1 eq 0 then cohab_6=2;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date." -PELAGIE,harmonized,DEATH_M_AGE,,,LifeCycle_CDM,core,death_m_age,partial,final,non-exhaustive information,from free text,non-exhaustive information -PELAGIE,pelagie_q6,"QE6_A1,QE6_A4,QE6_A4_DATE_AAMM",,,LifeCycle_CDM,core,cohab_8,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if qe6_a4_date_aamm ne . and qe6_a4_date_aamm ge 100 then -nb_an_splitup=int(qe6_a4_date_aamm/100); -if qe6_a4_date_aamm ne . and qe6_a4_date_aamm ge 100 then -nb_mois_splitup=qe6_a4_date_aamm-(int(qe6_a4_date_aamm/100)*100); -if qe6_a4_date_aamm ne . and qe6_a4_date_aamm lt 100 then do;nb_an_splitup=0;nb_mois_splitup=qe6_a4_date_aamm;end; -if qe6_a4 in (3 4) then splitup_q6=1; -else if nb_mois_splitup ge 0 then splitup_q6=1; - -if qe6_a1 eq 1 then do;cohab_6=1;splitup_q6=0;end; -else if qe6_a1 eq 0 then cohab_6=2;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date." -PELAGIE,pelagie_q12,"FA_Q2_1,FA_Q2_2_M,FA_Q2_2_A",,,LifeCycle_CDM,core,cohab_12,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if FA_Q2_1 in (6) and FA_Q1_a eq 1 then do;dc_pere=1;date_dc_p=mdy(FA_Q2_2_M,15,FA_Q2_2_A);end; -if FA_Q2_1 in (6) and FA_Q1_a eq 2 then do;dc_mere=1;date_dc_m=mdy(FA_Q2_2_M,15,FA_Q2_2_A);end; - -if FA_Q2_1 in (5 4) then do;ageenf_sep=(mdy(FA_Q2_2_M,15,FA_Q2_2_A)-ddn_2021)/365.25; -splitup=1;date_splitup=mdy(FA_Q2_2_M,15,FA_Q2_2_A);end; -if 0<=ageenf_sep<1 then fam_splitup0=1; -else if 1<=ageenf_sep<2 then fam_splitup1=1; -else if 2<=ageenf_sep<3 then fam_splitup2=1; -else if 3<=ageenf_sep<4 then fam_splitup3=1; -else if 4<=ageenf_sep<5 then fam_splitup4=1; -else if 5<=ageenf_sep<6 then fam_splitup5=1; -else if 6<=ageenf_sep<7 then fam_splitup6=1; -else if 7<=ageenf_sep<8 then fam_splitup7=1; -else if 8<=ageenf_sep<9 then fam_splitup8=1; -else if 9<=ageenf_sep<10 then fam_splitup9=1; -else if 10<=ageenf_sep<11 then fam_splitup10=1; -else if 11<=ageenf_sep<12 then fam_splitup11=1; -else if 12<=ageenf_sep<13 then fam_splitup12=1; - -if FA_Q2_1 in (1 2 3) then cohab_12=1; -else if FA_Q2_1 in (. 4 5 6 7) and FA_Q2_3 eq 1 then cohab_12=1; -else if FA_Q2_1 in (4 5 6) and FA_Q2_3 eq 2 then cohab_12=2; - - -if FA_Q2_3 eq 1 and FA_Q3_1 eq 1 then pbnbadult=1; -else if FA_Q2_1 eq 1 and FA_Q3_1 eq 1 then pbnbadult=1; -else if cohab_12 eq 2 and FA_Q3_1 eq 0 then pbnbadult=1;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date." -PELAGIE,pelagie_q12,"FA_Q2_1,FA_Q2_2_M,FA_Q2_2_A",,,LifeCycle_CDM,core,cohab_13,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if FA_Q2_1 in (6) and FA_Q1_a eq 1 then do;dc_pere=1;date_dc_p=mdy(FA_Q2_2_M,15,FA_Q2_2_A);end; -if FA_Q2_1 in (6) and FA_Q1_a eq 2 then do;dc_mere=1;date_dc_m=mdy(FA_Q2_2_M,15,FA_Q2_2_A);end; - -if FA_Q2_1 in (5 4) then do;ageenf_sep=(mdy(FA_Q2_2_M,15,FA_Q2_2_A)-ddn_2021)/365.25; -splitup=1;date_splitup=mdy(FA_Q2_2_M,15,FA_Q2_2_A);end; -if 0<=ageenf_sep<1 then fam_splitup0=1; -else if 1<=ageenf_sep<2 then fam_splitup1=1; -else if 2<=ageenf_sep<3 then fam_splitup2=1; -else if 3<=ageenf_sep<4 then fam_splitup3=1; -else if 4<=ageenf_sep<5 then fam_splitup4=1; -else if 5<=ageenf_sep<6 then fam_splitup5=1; -else if 6<=ageenf_sep<7 then fam_splitup6=1; -else if 7<=ageenf_sep<8 then fam_splitup7=1; -else if 8<=ageenf_sep<9 then fam_splitup8=1; -else if 9<=ageenf_sep<10 then fam_splitup9=1; -else if 10<=ageenf_sep<11 then fam_splitup10=1; -else if 11<=ageenf_sep<12 then fam_splitup11=1; -else if 12<=ageenf_sep<13 then fam_splitup12=1; - -if FA_Q2_1 in (1 2 3) then cohab_12=1; -else if FA_Q2_1 in (. 4 5 6 7) and FA_Q2_3 eq 1 then cohab_12=1; -else if FA_Q2_1 in (4 5 6) and FA_Q2_3 eq 2 then cohab_12=2; - - -if FA_Q2_3 eq 1 and FA_Q3_1 eq 1 then pbnbadult=1; -else if FA_Q2_1 eq 1 and FA_Q3_1 eq 1 then pbnbadult=1; -else if cohab_12 eq 2 and FA_Q3_1 eq 0 then pbnbadult=1;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date." -PELAGIE,pelagie_q12,"FA_Q2_1,FA_Q2_2_M,FA_Q2_2_A",,,LifeCycle_CDM,core,cohab_14,partial,final,"Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date.","if FA_Q2_1 in (6) and FA_Q1_a eq 1 then do;dc_pere=1;date_dc_p=mdy(FA_Q2_2_M,15,FA_Q2_2_A);end; -if FA_Q2_1 in (6) and FA_Q1_a eq 2 then do;dc_mere=1;date_dc_m=mdy(FA_Q2_2_M,15,FA_Q2_2_A);end; - -if FA_Q2_1 in (5 4) then do;ageenf_sep=(mdy(FA_Q2_2_M,15,FA_Q2_2_A)-ddn_2021)/365.25; -splitup=1;date_splitup=mdy(FA_Q2_2_M,15,FA_Q2_2_A);end; -if 0<=ageenf_sep<1 then fam_splitup0=1; -else if 1<=ageenf_sep<2 then fam_splitup1=1; -else if 2<=ageenf_sep<3 then fam_splitup2=1; -else if 3<=ageenf_sep<4 then fam_splitup3=1; -else if 4<=ageenf_sep<5 then fam_splitup4=1; -else if 5<=ageenf_sep<6 then fam_splitup5=1; -else if 6<=ageenf_sep<7 then fam_splitup6=1; -else if 7<=ageenf_sep<8 then fam_splitup7=1; -else if 8<=ageenf_sep<9 then fam_splitup8=1; -else if 9<=ageenf_sep<10 then fam_splitup9=1; -else if 10<=ageenf_sep<11 then fam_splitup10=1; -else if 11<=ageenf_sep<12 then fam_splitup11=1; -else if 12<=ageenf_sep<13 then fam_splitup12=1; - -if FA_Q2_1 in (1 2 3) then cohab_12=1; -else if FA_Q2_1 in (. 4 5 6 7) and FA_Q2_3 eq 1 then cohab_12=1; -else if FA_Q2_1 in (4 5 6) and FA_Q2_3 eq 2 then cohab_12=2; - - -if FA_Q2_3 eq 1 and FA_Q3_1 eq 1 then pbnbadult=1; -else if FA_Q2_1 eq 1 and FA_Q3_1 eq 1 then pbnbadult=1; -else if cohab_12 eq 2 and FA_Q3_1 eq 0 then pbnbadult=1;","Reported from the follow-ups at 2, 6 and 12 years of age, with extrapolation between these follow-ups when there was no split-up or a split-up with available date." -PELAGIE,pelagie_q12,APP_Q2,,,LifeCycle_CDM,core,edu_m_14,complete,final,,"if APP_q2 eq 1 then edu_m_12=3; -else if APP_q2 in (2) then edu_m_12=2; -else if APP_q2 in (3 4 5 6) then edu_m_12=1; -if edu_m_12 eq 2 and edu_m_0 eq 1 then edu_m_12=1; /*on garde le plus élévé*/ -if edu_m_12 eq 3 and edu_m_0 eq 2 then edu_m_12=2; /*on garde le plus élévé*/", -PELAGIE,harmonized,PREPREG_WEIGHT_MES,,,LifeCycle_CDM,core,prepreg_weight_mes,complete,final,,prepreg_weight_mes=0;, -PELAGIE,harmonized,OCCUP_F1_5,,,LifeCycle_CDM,core,occup_f1_fath5,partial,final,Biological father by default,if occup_f1_5 ne . then occup_f1_fath5=1;,Biological father by default -PELAGIE,pelagie_q0,"V163M,V163P",,,LifeCycle_CDM,core,ethn1_m,complete,final,,"If v163p eq 1 and v163m eq 11 then ethn1_m=1; -else If v163p eq 1 and v163m gt 11 then ethn1_m=3; -else If v163p gt 1 and v163m eq 11 then ethn1_m=3; -else If v163p ne . and v163m ne . then ethn1_m=2;", -PELAGIE,pelagie_q12,APP_Q4,,,LifeCycle_CDM,core,edu_f1_13,complete,final,,"if APP_q4 eq 1 then edu_f1_12=3; -else if APP_q4 in (2) then edu_f1_12=2; -else if APP_q4 in (3 4 5 6) then edu_f1_12=1; - -if ageq12 eq 13 then do; -edu_f1_13=edu_f1_12;edu_f1_12=.; -end; - -if ageq12 eq 14 then do; -edu_f1_14=edu_f1_12;edu_f1_12=.; -end;", -PELAGIE,pelagie_q0,V50,,,LifeCycle_CDM,core,occup_m_0,partial,final,"The ""6) Inactive/other"" category includes the ""Housewife status"", the ""Unemployed"", and ""the Student/apprentice"". -The ""1) Employed"" category includes also the ""self-employed"" -The ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""","if v50 eq 1 then occup_m_0=1; -else if v50 eq 0 then occup_m_0=6;","The ""6) Inactive/other"" category includes the ""Housewife status"", the ""Unemployed"", and ""the Student/apprentice"". -The ""1) Employed"" category includes also the ""self-employed"" -The ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""" -PELAGIE,pelagie_q0,PCSM1CL,,,LifeCycle_CDM,core,occupcode_m_0,complete,final,,Coded, -PELAGIE,pelagie_q2,C618,,,LifeCycle_CDM,core,occup_m_1,complete,final,,"if c618 in (6 1) then occup_m_2=1; -else if c618 eq 3 then occup_m_2=4; -else if c618 in (2 0) then occup_m_2=5; -else if c618 eq 4 then occup_m_2=3; -else if c618 eq 5 then occup_m_2=6;", -PELAGIE,harmonized,C_DEP_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_dep_lod_6,complete,final,,"BDD_OP$c_dep_lod_6<-ifelse(!is.na(BDD_OP$c_dep_raw_6y),0.2,NA)", -PELAGIE,pelagie_q6,QE6_A7,,,LifeCycle_CDM,core,occup_m_7,complete,final,,"if qe6_a7 in (6 1) then occup_m_6=1; -else if qe6_a7 eq 3 then occup_m_6=4; -else if qe6_a7 in (2 0) then occup_m_6=5; -else if qe6_a7 eq 4 then occup_m_6=3; -else if qe6_a7 eq 5 then occup_m_6=6;", -PELAGIE,pelagie_q6,QE6_A7,,,LifeCycle_CDM,core,occup_m_8,complete,final,,"if qe6_a7 in (6 1) then occup_m_6=1; -else if qe6_a7 eq 3 then occup_m_6=4; -else if qe6_a7 in (2 0) then occup_m_6=5; -else if qe6_a7 eq 4 then occup_m_6=3; -else if qe6_a7 eq 5 then occup_m_6=6;", -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q0,V160,LifeCycle_CDM,core,agebirth_m_y,complete,final,,agebirth_m_y=int((ddn_2021-v160)/365.2422);, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q0,V160,LifeCycle_CDM,core,agebirth_m_d,complete,final,,agebirth_m_d=ddn_2021-v160;, -PELAGIE,pelagie_q0,M11,,,LifeCycle_CDM,core,preeclam,complete,final,,preeclam=m11, -PELAGIE,pelagie_q0,M49,,,LifeCycle_CDM,core,latepreg_weight,partial,final,partially harmonized (late pregnancy weight = closest to delivery from 32 weeks gestation),latepreg_weight = m49;,partially harmonized (late pregnancy weight = closest to delivery from 32 weeks gestation) -PELAGIE,pelagie_q0,"M49,M50",maj_ddn_2021,DDN_2021,LifeCycle_CDM,core,latepreg_weight_ga,complete,final,,"if m49 ne . and m50 ne . then nbjavtnais=ddn_2021-m50; -if m49 ne . and m50 ne . then termepoids=round(((m50-v5)/7)+2,1); -if m49 ne . and m50 ne . then termepoids2=term_mater_2021-(nbjavtnais/7); -latepreg_weight_ga=int(termepoids2*7);", -PELAGIE,pelagie_q12,APP_Q1_1,,,LifeCycle_CDM,core,occup_m_12,partial,final,"The ""6) Inactive/other"" category also includes the ""Unemployed"". -The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" -The ""1) Employed"" category includes also the ""self-employed""","if app_q1_1 eq 1 then occup_m_12=1; -else if app_q1_1 in (0 2) then occup_m_12=5; -else if app_q1_1 eq 3 then occup_m_12=6;","The ""6) Inactive/other"" category also includes the ""Unemployed"". -The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" -The ""1) Employed"" category includes also the ""self-employed""" -PELAGIE,pelagie_q12,APP_Q1_1,,,LifeCycle_CDM,core,occup_m_13,partial,final,"The ""6) Inactive/other"" category also includes the ""Unemployed"". -The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" -The ""1) Employed"" category includes also the ""self-employed""","if app_q1_1 eq 1 then occup_m_12=1; -else if app_q1_1 in (0 2) then occup_m_12=5; -else if app_q1_1 eq 3 then occup_m_12=6;","The ""6) Inactive/other"" category also includes the ""Unemployed"". -The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" -The ""1) Employed"" category includes also the ""self-employed""" -PELAGIE,harmonized,OCCUP_F1_2,,,LifeCycle_CDM,core,occup_f1_fath2,partial,final,Biological father by default,if occup_f1_2 ne . then occup_f1_fath2=1;,Biological father by default -PELAGIE,pelagie_q12,APP_Q1_1,,,LifeCycle_CDM,core,occup_m_14,partial,final,"The ""6) Inactive/other"" category also includes the ""Unemployed"". -The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" -The ""1) Employed"" category includes also the ""self-employed""","if app_q1_1 eq 1 then occup_m_12=1; -else if app_q1_1 in (0 2) then occup_m_12=5; -else if app_q1_1 eq 3 then occup_m_12=6;","The ""6) Inactive/other"" category also includes the ""Unemployed"". -The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" -The ""1) Employed"" category includes also the ""self-employed""" -PELAGIE,pelagie_q0,V49,,,LifeCycle_CDM,core,edu_m_0,complete,final,,"if v49 eq 1 then edu_m_0=3; -else if v49 in (2,3) then edu_m_0=2; -else if v49 in (4,5,6) then edu_m_0=1;", -PELAGIE,pelagie_q12,APP_Q2,,,LifeCycle_CDM,core,edu_m_12,complete,final,,"if APP_q2 eq 1 then edu_m_12=3; -else if APP_q2 in (2) then edu_m_12=2; -else if APP_q2 in (3 4 5 6) then edu_m_12=1; -if edu_m_12 eq 2 and edu_m_0 eq 1 then edu_m_12=1; /*on garde le plus élévé*/ -if edu_m_12 eq 3 and edu_m_0 eq 2 then edu_m_12=2; /*on garde le plus élévé*/", -PELAGIE,pelagie_q12,APP_Q2,,,LifeCycle_CDM,core,edu_m_13,complete,final,,"if APP_q2 eq 1 then edu_m_12=3; -else if APP_q2 in (2) then edu_m_12=2; -else if APP_q2 in (3 4 5 6) then edu_m_12=1; -if edu_m_12 eq 2 and edu_m_0 eq 1 then edu_m_12=1; /*on garde le plus élévé*/ -if edu_m_12 eq 3 and edu_m_0 eq 2 then edu_m_12=2; /*on garde le plus élévé*/", -PELAGIE,harmonized,LATEPREG_WEIGHT_MES,,,LifeCycle_CDM,core,latepreg_weight_mes,complete,final,,latepreg_weight_mes=1, -PELAGIE,pelagie_q0,"M49,V166",pelagie_q2,C7,LifeCycle_CDM,core,preg_gain,partial,final,late pregnancy weight = closest to delivery from 32 weeks gestation,"nbjavtnais=ddn_2021-m50; -if nbjavtnais lt 0 or nbjavtnais gt 15 then preg_gain=.; -if c7 ne . and preg_gain ne . then dif= preg_gain-c7;",late pregnancy weight = closest to delivery from 32 weeks gestation -PELAGIE,pelagie_q0,M49,pelagie_q2,C7,LifeCycle_CDM,core,preg_gain_mes,complete,final,,"if c7 ne . then do; preg_gain=c7;preg_gain_mes=0;end; -if c7 eq . and preg_gain ne . then preg_gain_mes=3;", -PELAGIE,pelagie_q0,V165,,,LifeCycle_CDM,core,height_m,complete,final,,height_m=v165;, -PELAGIE,harmonized,HEIGHT_MES_M,,,LifeCycle_CDM,core,height_mes_m,complete,final,,height_mes_m=0;, -PELAGIE,pelagie_q0,M4,,,LifeCycle_CDM,core,prepreg_dia,partial,final,partially harmonized : type of diabetes unknown,"if m4 eq 1 then prepreg_dia=5; -else if m4 eq 0 then prepreg_dia=0;",partially harmonized : type of diabetes unknown -PELAGIE,pelagie_q0,M9,,,LifeCycle_CDM,core,preg_dia,complete,final,,"preg_dia=m9; -if prepreg_dia=1 then preg_dia=0;", -PELAGIE,harmonized,ATT_EVAL_6,,,ATHLETE_CDM,outcome_ath,att_eval_6,complete,final,,att_eval_6=4;, -PELAGIE,pelagie_q0,M15,,,LifeCycle_CDM,core,preg_thyroid,partial,final,"informations from the medical registry data: -=1 if Thyroid disorders reported in free text -otherwise = missing","eq 1 if Thyroid disorders reported in free text -otherwise = missing","informations from the medical registry data: -=1 if Thyroid disorders reported in free text -otherwise = missing" -PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle_CDM,outcome,hipcircmes_147,complete,final,,hipcircmes_147=0;, -PELAGIE,pelagie_q0,V181,,,LifeCycle_CDM,core,preg_fever,partial,final,covered the first 3 months of pregnancy maximum,preg_fever=v181,covered the first 3 months of pregnancy maximum -PELAGIE,pelagie_q0,M10,,,LifeCycle_CDM,core,preg_ht,partial,final,No information about if the hypertension started before or after 20 weeks of gestation,"preg_ht=m10; -if preeclam=1 then preg_ht=0;",No information about if the hypertension started before or after 20 weeks of gestation -PELAGIE,pelagie_q0,M15,,,LifeCycle_CDM,core,asthma_m,partial,final,"informations from the medical registry data: -=1 if Asthma reported in free text -otherwise = missing","eq 1 if Asthma reported in free text -otherwise = missing","informations from the medical registry data: -=1 if Asthma reported in free text -otherwise = missing" -PELAGIE,harmonized,OCCUP_F1_1,,,LifeCycle_CDM,core,occup_f1_fath1,partial,final,Biological father by default,if occup_f1_1 ne . then occup_f1_fath1=1;,Biological father by default -PELAGIE,pelagie_q0,"V135,V136",,,LifeCycle_CDM,core,prepreg_smk,complete,final,,"if v135=0 and v136=0 then do tabac=0;end; /*non fumeur*/ -if v135=0 and v136=1 then do tabac=1; end; /*ex-fumeur*/ -if v135=1 then do tabac=2;end; /*fumeur*/ -if tabac ge 1 then prepreg_smk=1; -else if tabac eq 0 then prepreg_smk=0;", -PELAGIE,pelagie_q0,"V136,V137",,,LifeCycle_CDM,core,prepreg_cig,complete,final,,"if v137 lt 10 and v137 ne . then cigp=1; -else if v137 ge 10 then cigp=2; -if v140 lt 10 and v140 ne . then ciga=1; -else if v140 ge 10 then ciga=2; -if prepreg_smk eq 0 then prepreg_cig=0; -else if prepreg_smk eq 1 and cigp ne . then prepreg_cig=cigp; -else if prepreg_smk eq 1 and cigp eq . then prepreg_cig=ciga;", -PELAGIE,pelagie_q0,"V135,V136,V139",,,LifeCycle_CDM,core,preg_smk,complete,final,information collected at the inclusion (before 19 weeks),"*quand v136 manquant et dates renseignees; - if v135=0 and v136 =. and v137 ne . and v138 ne . then v136=1; - statutc=. ; -* non fumeuse; - if v135=0 and v136=0 then statutc=0; -* ex-fumeuse; - if (v135=0 and v136=1 and v139=mmDEBGROSF) then statutc=2; -* fumeuse en debut de grossesse et ayant arrete; - if (v135=0 and v136=1 and v139>yyDEBGROSF) then statutc=2; -* fumeuse a l inclusion; - if v135=1 then statutc=3; - ; -if statutc in (2 3) then preg_smk=1; -else if statutc in (1 0) then preg_smk=0;",information collected at the inclusion (before 19 weeks) -PELAGIE,pelagie_q12,APP_Q4,,,LifeCycle_CDM,core,edu_f1_14,complete,final,,"if APP_q4 eq 1 then edu_f1_12=3; -else if APP_q4 in (2) then edu_f1_12=2; -else if APP_q4 in (3 4 5 6) then edu_f1_12=1; - -if ageq12 eq 13 then do; -edu_f1_13=edu_f1_12;edu_f1_12=.; -end; - -if ageq12 eq 14 then do; -edu_f1_14=edu_f1_12;edu_f1_12=.; -end;", -PELAGIE,pelagie_q0,"V135,V136,V137,V139,V140",,,LifeCycle_CDM,core,preg_cig,complete,final,information collected at the inclusion (before 19 weeks),"if statutc=2 then nombre_cigc=V137; * fumeuse en debut de grossesse et ayant arrete ; -if statutc=3 then nombre_cigc=V140; * fumeuse a l inclusion; -if nombre_cigc lt 10 and nombre_cigc ne . then cigc=1; -else if nombre_cigc ge 10 then cigc=2;",information collected at the inclusion (before 19 weeks) -PELAGIE,harmonized,PREG_SMK,,,LifeCycle_CDM,core,smk_t1,complete,final,,smk_t1=preg_smk;, -PELAGIE,BDD_ethers,EEAA_ENFANT,,,ATHLETE_CDM,chemicals_ath,c_eeaa_raw_6,complete,final,,BDD_ethers$c_eeaa_raw_6<-BDD_ethers$EEAA_enfant, -PELAGIE,BDD_phtalates_phenols,"BP_S,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_bps_raw_t2,complete,final,,BDD_phtalates_phenols$m_bps_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$BP_S, -PELAGIE,pelagie_q0,"V130,V131,V132",,,LifeCycle_CDM,core,preg_alc,partial,final,information collected at the inclusion (before 19 weeks) - no data on alcohol consumption after that date,"alc=V130; -alc2=V131*10; -alc3=v132*100; -alcool2=alc+alc2+alc3; - -if alcool2=0 then alcool1=0; -else if (alcool2=1 or alcool2=10 or alcool2=100) then alcool1=1; -else if (alcool2=11 or alcool2=101 or alcool2=110 or alcool2=111) then alcool1=2; -else if (alcool2=2 or alcool2=12 or alcool2=20 or alcool2=21 or alcool2=102 or alcool2=112 or alcool2=120 or alcool2=121 or alcool2=201 or alcool2=200 or alcool2=210 or alcool2=211) then alcool1=3; -else if (alcool2=3 or alcool2=13 or alcool2=22 or alcool2=103 or alcool2=202 or alcool2=222 or alcool2=122 or alcool2=212) then alcool1=4; -else if (alcool2=233 or alcool2=344 or alcool2=404) then alcool1=5; - -if alcool1=. then buveuseclaire=.; -if alcool1=0 then buveuseclaire=0; * non buveuse; -if alcool1=1 or alcool1=2 then buveuseclaire=1; * occasionnellement / <1fois/jour; -if alcool1>2 then buveuseclaire=2; * >1fois/jour; - -/*recodage buveuse en oui/non*/ -if buveuseclaire =0 then do preg_alc = 0; end; -if buveuseclaire in ('1', '2') then do preg_alc=1; end;",information collected at the inclusion (before 19 weeks) - no data on alcohol consumption after that date -NFBC1966,core,,,,LifeCycle_CDM,core,cer_palsy,complete,final,,"RECODE dg1 (351 thru 34309=1) INTO cer_palsy. -EXECUTE.", -PELAGIE,harmonized,OCCUP_F1_3,,,LifeCycle_CDM,core,occup_f1_fath3,partial,final,Biological father by default,if occup_f1_3 ne . then occup_f1_fath3=1;,Biological father by default -PELAGIE,pelagie_q0,"V130,V131,V132",,,LifeCycle_CDM,core,preg_alc_unit,partial,final,information collected at the inclusion (before 19 weeks) - no data on alcohol consumption after that date,"if v130=0 then v130b=0;if v130=1 then v130b=3;if v130=2 then v130b=7; if v130=3 then v130b=16; if v130=4 then v130b=30; -if v131=0 then v131b=0;if v131=1 then v131b=3;if v131=2 then v131b=7; if v131=3 then v131b=16; if v131=4 then v131b=30; -if v132=0 then v132b=0;if v132=1 then v132b=3;if v132=2 then v132b=7; if v132=3 then v132b=16; if v132=4 then v132b=30; -alcoolcc=v130b*10+v131b*12.5+v132b*24; - if alcoolcc =0 then alcoolccb=0; *non buveuse; - if alcoolcc>0 and alcoolcc<70 then alcoolccb=1; * occasionnellement, <1fois/j; - if alcoolcc>=70 and buveuseclaire=1 then alcoolccb=2; * < 1fois/j et degré alcool>=70g/semaine; - if alcoolcc>=70 and buveuseclaire=2 then alcoolccb=3; * > 1fois/j (et degré alcool>=70g/semaine); - if alcoolcc = . then alcoolccb = .; - -if preg_alc eq 0 then preg_alc_unit =0; -else if preg_alc eq 1 then preg_alc_unit =alcoolccb;",information collected at the inclusion (before 19 weeks) - no data on alcohol consumption after that date -PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,att_age_5,complete,final,,ATT_age=(date_RDV-ddn_2021)/365.2422;, -PELAGIE,harmonized,AGGR_EVAL_2,,,ATHLETE_CDM,outcome_ath,aggr_eval_2,complete,final,,eval=2;, -PELAGIE,pelagie_q0,"V130,V131,V132",,,LifeCycle_CDM,core,alc_t1,partial,final,information collected at the inclusion (before 19 weeks) - no data on alcohol consumption after that date,"alc=V130; -alc2=V131*10; -alc3=v132*100; -alcool2=alc+alc2+alc3; - -if alcool2=0 then alcool1=0; -else if (alcool2=1 or alcool2=10 or alcool2=100) then alcool1=1; -else if (alcool2=11 or alcool2=101 or alcool2=110 or alcool2=111) then alcool1=2; -else if (alcool2=2 or alcool2=12 or alcool2=20 or alcool2=21 or alcool2=102 or alcool2=112 or alcool2=120 or alcool2=121 or alcool2=201 or alcool2=200 or alcool2=210 or alcool2=211) then alcool1=3; -else if (alcool2=3 or alcool2=13 or alcool2=22 or alcool2=103 or alcool2=202 or alcool2=222 or alcool2=122 or alcool2=212) then alcool1=4; -else if (alcool2=233 or alcool2=344 or alcool2=404) then alcool1=5; - -if alcool1=. then buveuseclaire=.; -if alcool1=0 then buveuseclaire=0; * non buveuse; -if alcool1=1 or alcool1=2 then buveuseclaire=1; * occasionnellement / <1fois/jour; -if alcool1>2 then buveuseclaire=2; * >1fois/jour; - -/*recodage buveuse en oui/non*/ -if buveuseclaire =0 then do alc_t1 = 0; end; -if buveuseclaire in ('1', '2') then do alc_t1=1; end;",information collected at the inclusion (before 19 weeks) - no data on alcohol consumption after that date -PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle_CDM,outcome,hipcircmes_148,complete,final,,hipcircmes_148=0;, -PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,ext_age_1,complete,final,,ext_age_1=(b3-ddn_2021)/365.2422;, -PELAGIE,pelagie_q0,"V156,V157,V158,DEBGROSF",,,LifeCycle_CDM,core,folic_prepreg,complete,final,,"b9 created using free text in v156; -yyDEBGROSF= year(DEBGROSF); -mmDEBGROSF= month(DEBGROSF); -* Nombre de mois d ecart entre début de grossesse et début prise B9 -si négatif, alors début pendant grossesse; -if (b9=1 and V158=yyDEBGROSF) then dif_mois_debgros_b9 = (mmDEBGROSF - V157)*-1; -else if b9=1 and v158 gt yyDEBGROSF then dif_mois_debgros_b9 = (12-mmDEBGROSF + V157); -else if (b9=1 and V158 ne . and v158 lt yyDEBGROSF) then dif_mois_debgros_b9 = -(12-v157+mmDEBGROSF); - * 1 femme avec prise de vitB9 en 2000 pour un début de grossesse en 2003, codée manquante (v13=5mois); - -if b9 eq 1 and dif_mois_debgros_b9 ne . and dif_mois_debgros_b9 lt 0 then folic_prepreg=1; -else if b9 eq 1 and dif_mois_debgros_b9 ge 0 then folic_prepreg=0; -else if b9 eq 1 and dif_mois_debgros_b9 eq . and v159 eq 99 then folic_prepreg=1; -else if b9 eq 0 then folic_prepreg=0;", -PELAGIE,pelagie_q0,"V156,V157,V158,V159,DEBGROSF",,,LifeCycle_CDM,core,folic_preg12,complete,final,,"b9 created using free text in v156; - yyDEBGROSF= year(DEBGROSF); - mmDEBGROSF= month(DEBGROSF); - * Nombre de mois d ecart entre début de grossesse et début prise B9 - si négatif, alors début pendant grossesse; -if (b9=1 and V158=yyDEBGROSF) then dif_mois_debgros_b9 = (mmDEBGROSF - V157)*-1; -else if b9=1 and v158 gt yyDEBGROSF then dif_mois_debgros_b9 = (12-mmDEBGROSF + V157); -else if (b9=1 and V158 ne . and v158 lt yyDEBGROSF) then dif_mois_debgros_b9 = -(12-v157+mmDEBGROSF); - -if b9 eq 1 and dif_mois_debgros_b9 ne . and dif_mois_debgros_b9 eq -3 and v159 gt 75 then folic_preg12=1; -else if b9 eq 1 and dif_mois_debgros_b9 eq -3 and (v159 le 75 and v159 ne .) then folic_preg12=0; -else if b9 eq 1 and dif_mois_debgros_b9 eq -2 and v159 gt 45 then folic_preg12=1; -else if b9 eq 1 and dif_mois_debgros_b9 eq -2 and (v159 le 45 and v159 ne .) then folic_preg12=0; -else if b9 eq 1 and dif_mois_debgros_b9 eq -1 and v159 gt 15 then folic_preg12=1; -else if b9 eq 1 and dif_mois_debgros_b9 eq -1 and (v159 le 15 and v159 ne .) then folic_preg12=0; -else if b9 eq 1 and dif_mois_debgros_b9 in (0,1,2,3) then folic_preg12=1; -else if b9 eq 1 and v159 eq 99 then folic_preg12=1; -else if b9 eq 0 then folic_preg12=0; -else if b9 eq 1 and dif_mois_debgros_b9 ne . and v159 eq . then folic_preg12=.;", -PELAGIE,pelagie_q0,PCSPCL,,,LifeCycle_CDM,core,occupcode_f1_0,complete,final,,Free text coded, -PELAGIE,pelagie_q0,"V16,V22,V27,V32,V37,V42,V47,V203,V208",,,LifeCycle_CDM,core,parity_m,complete,final,,"n=.; -if v16=1 then n=0; -if v16=0 then n=0; -if v22=1 then n=1; -if v22=5 and v19 ge 22 then n=1; -if v27=1 then n=n+1; -if v27=5 and v24 ge 22 then n=n+1; -if v32=1 then n=n+1; -if v32=5 and v29 ge 22 then n=n+1; -if v37=1 then n=n+1; -if v42=1 then n=n+1; -if v47=1 then n=n+1; -if v203=1 then n=n+1; -if v208=1 then n=n+1; -label n='parité'; - -parity_m=n; -if n ge 4 then parity_m=4;", -PELAGIE,pelagie_q6,QE6_D6_9,,,LifeCycle_CDM,core,fruit_sch,complete,final,,"/* fruits */ -if QE6_d6_9=. then fruit=.; -else if QE6_d6_9=1 then fruit=0.5; -else if QE6_d6_9=2 then fruit=2; -else if QE6_d6_9=3 then fruit=8; -else if QE6_d6_9=4 then fruit=20; -else if QE6_d6_9=5 then fruit=30; - -fruit_sch=fruit/30;", -PELAGIE,pelagie_q0,"V9,V10,V13,V14",,,LifeCycle_CDM,core,preg_plan,complete,final,,"if v9=0 then contraception=0; -else if v9=. then contraception=.; -else if v9 ne 0 and v9 ne . then contraception=1; - -if contraception=1 & v10=1 then planif_graf=1; /* grossesse planifiée */ -else if contraception=1 & v10=0 then planif_graf=0; /* grossesse non planifiée */ -else if contraception=1 & v10=. then planif_graf=2; /* doute sur la planification de la grossesse */ -else if contraception=0 & v10=1 then planif_graf=1; /* grossesse planifiée */ -else if contraception=0 & v10=0 then planif_graf=2; /* doute sur la planification de la grossesse */ -else if contraception=0 & v10=. then planif_graf=2; /* doute sur la planification de la grossesse */ -else if contraception=. & v10=0 then planif_graf=2; /* doute sur la planification de la grossesse */ -else if contraception=. & v10=1 then planif_graf=1; /* grossesse planifiée */ -else if contraception=. & v10=. then planif_graf=2; /* doute sur la planification de la grossesse */ - -/* creation de la variable planification */ -if planif_graf=2 & v13 ne . then planification=1; /* si on a un doute sur la planification de la grossesse mais que v13 (délai pour concevoir) est renseignée, on considère la grossesse comme planifiée */ -else planification=planif_graf; - -if planification eq 0 then preg_plan=2; -else if planification eq 1 then preg_plan=1; -else if planification eq 2 and v14 in (0 .) then preg_plan=.; -else if planification eq 2 and v14 eq 1 then preg_plan=1; - -if mar eq 1 and preg_plan eq 2 then mar=.; -if ivf eq 1 and preg_plan eq 2 then ivf=.;", -PELAGIE,pelagie_q0,V14,,,LifeCycle_CDM,core,mar,complete,final,,mar=v14;, -PELAGIE,pelagie_q0,"V14,V15",,,LifeCycle_CDM,core,ivf,complete,final,,"if mar eq 1 and v15 eq 3 then ivf=1; -else if mar eq 1 and v15 ne 3 then ivf=0; -else if mar eq 0 then ivf=0;", -PELAGIE,pelagie_q0,"M16,M17,M18,M19,M22",,,LifeCycle_CDM,core,outcome,complete,final,,"if m16 eq 1 then outcome=3; -else if m17 eq 1 and m18 eq 1 then outcome=2; -else if m17 ne 1 and m18 eq 1 then outcome=2; -else if m17 eq 1 and m18 ne 1 then outcome=4; -else if m22 eq 1 and m19 eq 1 then outcome=1; -else if m22 eq 2 and m19 eq 1 and m18 ne 1 then outcome=1;", -SPF,SPF,,,,OOM_CDM,MEDICINES,visit_occurrence_id,complete,,Leave empty,, -PELAGIE,pelagie_q0,"M23,M24,M48",,,LifeCycle_CDM,core,mode_delivery,partial,final,"Mode of delivery was recorded as Vaginal (no.1) or Caesarean (no.5). When available, free text allowed to classify as Forceps/vacuum or Emergency caesarean (non-exhaustive information)",From m23 and m48 + free text in m24,"Mode of delivery was recorded as Vaginal (no.1) or Caesarean (no.5). When available, free text allowed to classify as Forceps/vacuum or Emergency caesarean (non-exhaustive information)" -PELAGIE,pelagie_q0,V169,,,LifeCycle_CDM,core,occup_f1_0,partial,final,"Paternal occupational status level has been asked at the inclusion (1st and 2nd trimester of pregnancy). - -For occup_f1_0: The ""6) Inactive/other"" category includes the ""Housewife status"", the ""Unemployed"", and ""the Student/apprentice"". The ""1) Employed"" category includes also the ""self-employed""","occup_f1_0=v169; -if occup_f1_0 eq 0 then occup_f1_0=6;/*sans emploi*/","Paternal occupational status level has been asked at the inclusion (1st and 2nd trimester of pregnancy). - -For occup_f1_0: The ""6) Inactive/other"" category includes the ""Housewife status"", the ""Unemployed"", and ""the Student/apprentice"". The ""1) Employed"" category includes also the ""self-employed""" -PELAGIE,harmonized,OCCUP_F1_0,,,LifeCycle_CDM,core,occup_f1_fath0,partial,final,Biological father by default,if occup_f1_0 ne . then occup_f1_fath0=1;,Biological father by default -PELAGIE,harmonized,INT_INSTR_13,,,LifeCycle_CDM,outcome,int_instr_13,complete,final,,instr=47;, -PELAGIE,pelagie_q2,"B581,B582",,,LifeCycle_CDM,core,ffish_psc,complete,final,,"/* poisson gras*/ -if B581=. then poisson_gras=.; -else if B581=1 then poisson_gras=0; -else if B581=2 then poisson_gras=0.5; -else if B581=3 then poisson_gras=2; -else if B581=4 then poisson_gras=8; -else if B581=5 then poisson_gras=20; -else if B581=6 then poisson_gras=30; -else if B581=7 then poisson_gras=60; - -ffish_psc=poisson_gras/30;", -PELAGIE,pelagie_q2,C614,,,LifeCycle_CDM,core,occup_f1_3,partial,final,"occup_f_1, _2, or _3 was filled in according to the exact age of the child when the parents answered to the 2yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""","if c614 eq 3 then occup_f1_2=1; -else if c614 eq 0 then occup_f1_2=4; -else if c614 eq 1 then occup_f1_2=3; -else if c614 eq 2 then occup_f1_2=6; - -if ageq2 eq 1 then do; -occup_f1_1=occup_f1_2;occup_f1_2=.; -end; -if ageq2 eq 3 then do; -occup_f1_3=occup_f1_2;occup_f1_2=.; -end;","occup_f_1, _2, or _3 was filled in according to the exact age of the child when the parents answered to the 2yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""" -PELAGIE,pelagie_q2,"A44,C593",,,LifeCycle_CDM,core,smk_exp3,partial,final,smoking status of the mother and the father but not information about exposure of the child or not,"/* _1 to _3 depending on child age at the 2yo-follow-up */ -if a44=1 or C593=1 then smk_exp2=1; -else if a44=0 and C593=0 then smk_exp2=0;",smoking status of the mother and the father but not information about exposure of the child or not -PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,ext_age_2,complete,final,,ext_age_2=(b3-ddn_2021)/365.2422;, -PELAGIE,pelagie_q6,QE6_A6,,,LifeCycle_CDM,core,occup_f1_6,partial,final,"occup_f_6, _7, or _8 was filled in according to the exact age of the child when the parents answered to the 6yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""","if qe6_a6 in (6 1) then occup_f1_6=1; -else if qe6_a6 eq 3 then occup_f1_6=4; -else if qe6_a6 in (2 0) then occup_f1_6=5; -else if qe6_a6 eq 4 then occup_f1_6=3; -else if qe6_a6 eq 5 then occup_f1_6=6; - -if ageq6 eq 5 then do; -occup_f1_5=occup_f1_6;occup_f1_6=.; -end; -if ageq6 eq 7 then do; -occup_f1_7=occup_f1_6;occup_f1_6=.; -end; -if ageq6 eq 8 then do; -occup_f1_8=occup_f1_6;occup_f1_6=.; -end;","occup_f_6, _7, or _8 was filled in according to the exact age of the child when the parents answered to the 6yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""" -PELAGIE,pelagie_q6,QE6_A6,,,LifeCycle_CDM,core,occup_f1_7,partial,final,"occup_f_6, _7, or _8 was filled in according to the exact age of the child when the parents answered to the 6yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""","if qe6_a6 in (6 1) then occup_f1_6=1; -else if qe6_a6 eq 3 then occup_f1_6=4; -else if qe6_a6 in (2 0) then occup_f1_6=5; -else if qe6_a6 eq 4 then occup_f1_6=3; -else if qe6_a6 eq 5 then occup_f1_6=6; - -if ageq6 eq 5 then do; -occup_f1_5=occup_f1_6;occup_f1_6=.; -end; -if ageq6 eq 7 then do; -occup_f1_7=occup_f1_6;occup_f1_6=.; -end; -if ageq6 eq 8 then do; -occup_f1_8=occup_f1_6;occup_f1_6=.; -end;","occup_f_6, _7, or _8 was filled in according to the exact age of the child when the parents answered to the 6yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""" -PELAGIE,harmonized,C_EEAA_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_eeaa_lod_6,complete,final,,"BDD_ethers$c_eeaa_lod_6<-ifelse(!is.na(BDD_ethers$c_eeaa_raw_6y),3,NA)", -PELAGIE,pelagie_q6,QS6_C16,,,ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_5,complete,final,,"if (5 le age_enfant_quest lt 6) then do; -rhinitis_sx_ever_5=QS6_C16; -end;", -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcare_0,complete,final,variable generated for children followed at 6 years of age only,"if childcarerel_0 eq 1 or childcareprof_0 eq 1 or childcarecentre_0 eq 1 then childcare_0=1; -else if childcarerel_0 eq 0 and childcareprof_0 eq 0 and childcarecentre_0 eq 0 then childcare_0=0; -else if childcareparent_0 eq 1 and childcarerel_0 eq . and childcareprof_0 eq . and childcarecentre_0 eq . then do; -childcare_0=0;childcarerel_0=0;childcareprof_0=0;childcarecentre_0=0;end; - -if childcarerel_1 eq 1 or childcareprof_1 eq 1 or childcarecentre_1 eq 1 then childcare_1=1; -else if childcarerel_1 eq 0 and childcareprof_1 eq 0 and childcarecentre_1 eq 0 then childcare_1=0; -else if childcareparent_1 eq 1 and childcarerel_1 eq . and childcareprof_1 eq . and childcarecentre_1 eq . then do; -childcare_1=0;childcarerel_1=0;childcareprof_1=0;childcarecentre_1=0;end; - -if childcarerel_2 eq 1 or childcareprof_2 eq 1 or childcarecentre_2 eq 1 then childcare_2=1; -else if childcarerel_2 eq 0 and childcareprof_2 eq 0 and childcarecentre_2 eq 0 then childcare_2=0; -else if childcareparent_2 eq 1 and childcarerel_2 eq . and childcareprof_2 eq . and childcarecentre_2 eq . then do; -childcare_2=0;childcarerel_2=0;childcareprof_2=0;childcarecentre_2=0;end; - -if childcarerel_3 eq 1 or childcareprof_3 eq 1 or childcarecentre_3 eq 1 then childcare_3=1; -else if childcarerel_3 eq 0 and childcareprof_3 eq 0 and childcarecentre_3 eq 0 then childcare_3=0; -else if childcareparent_3 eq 1 and childcarerel_3 eq . and childcareprof_3 eq . and childcarecentre_3 eq . then do; -childcare_3=0;childcarerel_3=0;childcareprof_3=0;childcarecentre_3=0;end;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q6,QE6_A6,,,LifeCycle_CDM,core,occup_f1_8,partial,final,"occup_f_6, _7, or _8 was filled in according to the exact age of the child when the parents answered to the 6yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""","if qe6_a6 in (6 1) then occup_f1_6=1; -else if qe6_a6 eq 3 then occup_f1_6=4; -else if qe6_a6 in (2 0) then occup_f1_6=5; -else if qe6_a6 eq 4 then occup_f1_6=3; -else if qe6_a6 eq 5 then occup_f1_6=6; - -if ageq6 eq 5 then do; -occup_f1_5=occup_f1_6;occup_f1_6=.; -end; -if ageq6 eq 7 then do; -occup_f1_7=occup_f1_6;occup_f1_6=.; -end; -if ageq6 eq 8 then do; -occup_f1_8=occup_f1_6;occup_f1_6=.; -end;","occup_f_6, _7, or _8 was filled in according to the exact age of the child when the parents answered to the 6yo questionnaire: the ""parental/childcare leave"" is considered in ""5) Domestic tasks (housewife etc.)""" -PELAGIE,pelagie_q2,"A44,C593",,,LifeCycle_CDM,core,smk_exp2,partial,final,smoking status of the mother and the father but not information about exposure of the child or not,"/* _1 to _3 depending on child age at the 2yo-follow-up */ -if a44=1 or C593=1 then smk_exp2=1; -else if a44=0 and C593=0 then smk_exp2=0;",smoking status of the mother and the father but not information about exposure of the child or not -PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle_CDM,outcome,hipcircmes_149,complete,final,,hipcircmes_149=0;, -PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle_CDM,outcome,asthma_9,complete,final,,"asthma_9bis=asthma_9; -if asthma_9bis=1 or (SRA_Q7_1=1 and SRA_Q7_2_A>=9 and SRA_Q7_2_A<10) then asthma_9=1; -else if asthma_9bis=0 or (SRA_Q7_1=0 and age_q12>=9) then asthma_9=0; -else asthma_9=.; -drop asthma_9bis;", -PELAGIE,pelagie_q12,APP_Q3_1,,,LifeCycle_CDM,core,occup_f1_12,partial,final,"occup_f_12, _13, or _14 was filled in according to the exact age of the child when the parents answered to the 12yo questionnaire. -The ""6) Inactive/other"" category also includes the ""Unemployed"". -The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" -The ""1) Employed"" category includes also the ""self-employed""","if app_q3_1 eq 1 then occup_f1_12=1; -else if app_q3_1 in (0 2) then occup_f1_12=5; -else if app_q3_1 eq 3 then occup_f1_12=6; - -if ageq12 eq 13 then do; -occup_f1_13=occup_f1_12;occup_f1_12=.; -end; - -if ageq12 eq 14 then do; -occup_f1_14=occup_f1_12;occup_f1_12=.; -end;","occup_f_12, _13, or _14 was filled in according to the exact age of the child when the parents answered to the 12yo questionnaire. -The ""6) Inactive/other"" category also includes the ""Unemployed"". -The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" -The ""1) Employed"" category includes also the ""self-employed""" -PELAGIE,harmonized,ATT_INSTR_5,,,ATHLETE_CDM,outcome_ath,att_instr_5,partial,final,,att_instr_5=62;,"Test=R-CPT90. 3 target items were excluded (1, 2 , 12) because of technical errors, resulting in 177 targets and 20 non-targets items" -PELAGIE,pelagie_q12,APP_Q3_1,,,LifeCycle_CDM,core,occup_f1_13,partial,final,"occup_f_12, _13, or _14 was filled in according to the exact age of the child when the parents answered to the 12yo questionnaire. -The ""6) Inactive/other"" category also includes the ""Unemployed"". -The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" -The ""1) Employed"" category includes also the ""self-employed""","if app_q3_1 eq 1 then occup_f1_12=1; -else if app_q3_1 in (0 2) then occup_f1_12=5; -else if app_q3_1 eq 3 then occup_f1_12=6; - -if ageq12 eq 13 then do; -occup_f1_13=occup_f1_12;occup_f1_12=.; -end; - -if ageq12 eq 14 then do; -occup_f1_14=occup_f1_12;occup_f1_12=.; -end;","occup_f_12, _13, or _14 was filled in according to the exact age of the child when the parents answered to the 12yo questionnaire. -The ""6) Inactive/other"" category also includes the ""Unemployed"". -The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" -The ""1) Employed"" category includes also the ""self-employed""" -PELAGIE,pelagie_q12,APP_Q3_1,,,LifeCycle_CDM,core,occup_f1_14,partial,final,"occup_f_12, _13, or _14 was filled in according to the exact age of the child when the parents answered to the 12yo questionnaire. -The ""6) Inactive/other"" category also includes the ""Unemployed"". -The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" -The ""1) Employed"" category includes also the ""self-employed""","if app_q3_1 eq 1 then occup_f1_12=1; -else if app_q3_1 in (0 2) then occup_f1_12=5; -else if app_q3_1 eq 3 then occup_f1_12=6; - -if ageq12 eq 13 then do; -occup_f1_13=occup_f1_12;occup_f1_12=.; -end; - -if ageq12 eq 14 then do; -occup_f1_14=occup_f1_12;occup_f1_12=.; -end;","occup_f_12, _13, or _14 was filled in according to the exact age of the child when the parents answered to the 12yo questionnaire. -The ""6) Inactive/other"" category also includes the ""Unemployed"". -The ""5) Domestic tasks (housewife etc.)"" includes also ""the Student/apprentice"",""Childcare/parental leave"" and the ""maternity leave"" -The ""1) Employed"" category includes also the ""self-employed""" -PELAGIE,harmonized,OCCUPCODE_F1_0,,,LifeCycle_CDM,core,occupcode_f1_fath0,partial,final,Biological father by default,if occupcode_f1_0 ne . then occupcode_f1_fath0=1;,Biological father by default -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcareprof_0,complete,final,variable generated for children followed at 6 years of age only,"if 0<=assistantedeb<12 and assistantefin>0 then childcareprof_0=1; -if 0<=assistantedeb<24 and assistantefin >=12 then childcareprof_1=1; -if 0<=assistantedeb<36 and assistantefin >=24 then childcareprof_2=1; -if 0<=assistantedeb<48 and assistantefin >=36 then childcareprof_3=1; - -if childcare_intro ne . and childcareprof_0 eq . then childcareprof_0=0; -if childcare_intro ne . and childcareprof_1 eq . then childcareprof_1=0; -if childcare_intro ne . and childcareprof_2 eq . then childcareprof_2=0; -if childcare_intro ne . and childcareprof_3 eq . then childcareprof_3=0;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q2,"B461,B462,B463","pelagie_q6,pelagie_q6","QE6_D4,QE6_D4HHMM",LifeCycle_CDM,core,breastfed_any,partial,final,"Reported from the follow-ups at 2yo and, if missing, completed by the follow-up at 6 yo","/*durée d'allaitement à 2 ans*/ - -semaine=b464/4.3333; -if (b463 ne .) and (semaine ne .) and (b461 = 1) then duree_allaitement_2ans = b463+semaine; -if (b463 ne .) and (semaine = .) and (b461 = 1) then duree_allaitement_2ans = b463; -if (b463 = .) and (semaine = .) and (b461 = 1) then duree_allaitement_2ans = .; -if (b463 = .) and (semaine ne .) and (b461 = 1) then duree_allaitement_2ans = semaine; -if (b462 = 1) then duree_allaitement_2ans = 24; /*continue d allaitement à 2ans*/ -if b461 = 0 then duree_allaitement_2ans = 0; - -/*durée d'allaitement à 6 ans*/ - -if QE6_D4=1 then do; longueur=length(QE6_D4HHMM); - -if longueur=4 then do -mois=substr(QE6_D4HHMM,1,2); -semaines=substr(QE6_D4HHMM,3,2); -end; - -if longueur=3 then do -mois=substr(QE6_D4HHMM,1,1); -semaines=substr(QE6_D4HHMM,2,2); -end; - -if longueur=1 then do -mois='0'; -semaines=QE6_D4HHMM; -end; - -m=input(mois,2.); -s=input(semaines,2.); - -duree_allaitement_6ans=m+ s/4.33; - -end; - -else if QE6_D4=0 then duree_allaitement_6ans=0; -else if QE6_D4=. then duree_allaitement_6ans=.; - -/*2 individus ont déclaré avoir allaité sans donner le temps d'allaitement*/ -if (QE6_D4=1 and QE6_D4HHMM='') then duree_allaitement_6ans=.; - - -/*On privilégie la durée d'allaitement à 2ans, si celle ci n'est pas renseignée on prend celle à 6 ans*/ - -if (duree_allaitement_2ans ne .) then duree_allaitement=duree_allaitement_2ans; -else duree_allaitement=duree_allaitement_6ans; - -breastfed_any=round(duree_allaitement,0.1); -if breastfed_any ge 12 then breastfed_any=12; -if breastfed_any eq 0 then breastfed_ever=0; -else if breastfed_any gt 0 then breastfed_ever=1; -if breastfed_ever eq . and b461 eq 1 then breastfed_ever=1;","Reported from the follow-ups at 2yo and, if missing, completed by the follow-up at 6 yo" -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_161,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B461,B462,B463","pelagie_q6,pelagie_q6","QE6_D4,QE6_D4HHMM",LifeCycle_CDM,core,breastfed_ever,partial,final,"Reported from the follow-ups at 2yo and, if missing, completed by the follow-up at 6 yo","if breastfed_any eq 0 then breastfed_ever=0; -else if breastfed_any gt 0 then breastfed_ever=1; -if breastfed_ever eq . and b461 eq 1 then breastfed_ever=1;","Reported from the follow-ups at 2yo and, if missing, completed by the follow-up at 6 yo" -PELAGIE,pelagie_q6,"QE6_G1,QE6_G2",,,LifeCycle_CDM,core,smk_exp7,partial,final,smoking status of the mother and th efather but not information about exposure of the child or not,"/* _4 to _7 depending on child age at the 6yo-follow-up */ -if QE6_G1=1 or QE6_G2=1 then smk_exp6=1; -else if QE6_G1=0 and QE6_G2=0 then smk_exp6=0;",smoking status of the mother and th efather but not information about exposure of the child or not -PELAGIE,pelagie_q2,"B571,B574,B589,B590,B591",,,LifeCycle_CDM,core,grain_psc,complete,final,,"/* pates, riz, semoule, blé */ -if B571=. then pates=.; -else if B571=1 then pates=0; -else if B571=2 then pates=0.5; -else if B571=3 then pates=2; -else if B571=4 then pates=8; -else if B571=5 then pates=20; -else if B571=6 then pates=30; -else if B571=7 then pates=60; - - /* quiches, pizzas, tourtes */ -if B574=. then quiche=.; -else if B574=1 then quiche=0; -else if B574=2 then quiche=0.5; -else if B574=3 then quiche=2; -else if B574=4 then quiche=8; -else if B574=5 then quiche=20; -else if B574=6 then quiche=30; -else if B574=7 then quiche=60; - /* cereales pour petit dej */ -if B589=. then cereales=.; -else if B589=1 then cereales=0; -else if B589=2 then cereales=0.5; -else if B589=3 then cereales=2; -else if B589=4 then cereales=8; -else if B589=5 then cereales=20; -else if B589=6 then cereales=30; -else if B589=7 then cereales=60; - /* pain */ -if B590=. then pain=.; -else if B590=1 then pain=0; -else if B590=2 then pain=0.5; -else if B590=3 then pain=2; -else if B590=4 then pain=8; -else if B590=5 then pain=20; -else if B590=6 then pain=30; -else if B590=7 then pain=60; - /* viennoiserie, gateaux, biscuits */ -if B591=. then gateaux=.; -else if B591=1 then gateaux=0; -else if B591=2 then gateaux=0.5; -else if B591=3 then gateaux=2; -else if B591=4 then gateaux=8; -else if B591=5 then gateaux=20; -else if B591=6 then gateaux=30; -else if B591=7 then gateaux=60; - -grain_psc=sum(pates,quiche,cereales,pain,gateaux)/30;", -PELAGIE,pelagie_q2,"B488,B490,B492,B502,B510",,,LifeCycle_CDM,core,solid_food,partial,final,"Reported from the follow-up at 2 years of age, using the age of introduction of the following food items: potatoes, vegetables, fruit and yoghurt.","pdt=b488; if pdt ge 6 then pdt=6; -leg=b490;if leg ge 6 then leg=6; -fruit=b492;if fruit ge 6 then fruit=6; -oeuf=b502;if oeuf ge 6 then oeuf=6; -laitage=b510;if laitage ge 6 then laitage=6; -solid_food=min(pdt,leg,fruit,laitage); -if solid_food in (0,1) then solid_food=6;","Reported from the follow-up at 2 years of age, using the age of introduction of the following food items: potatoes, vegetables, fruit and yoghurt." -PELAGIE,pelagie_q2,C675,,,LifeCycle_CDM,core,famsize_adult1,complete,final,,"/* _1 to _3 depending on child age at the 2yo-follow-up */ -if c675 ne . then famsize_adult2=c675;", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_bps_lod_t1,complete,final,,BDD_phtalates_phenols$m_bps_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.10, -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcare_intro,complete,final,variable generated for children followed at 6 years of age only,"crechedeb= QE6_B5_Creche_de_AMM; -if QE6_B5_Creche_de_AMM ge 100 -then crechedeb= (int(QE6_B5_Creche_de_AMM/100)*12)+ QE6_B5_Creche_de_AMM-(int(QE6_B5_Creche_de_AMM/100)*100); - -crechefin= QE6_B5_Creche_a_AMM; -if QE6_B5_Creche_a_AMM ge 100 -then crechefin= (int(QE6_B5_Creche_a_AMM/100)*12)+ QE6_B5_Creche_a_AMM-(int(QE6_B5_Creche_a_AMM/100)*100); - -assistantedeb= QE6_B5_assistante_de_AMM; -if QE6_B5_assistante_de_AMM ge 100 -then assistantedeb= (int(QE6_B5_assistante_de_AMM/100)*12)+ QE6_B5_assistante_de_AMM-(int(QE6_B5_assistante_de_AMM/100)*100); - -assistantefin= QE6_B5_assistante_a_AMM; -if QE6_B5_assistante_a_AMM ge 100 -then assistantefin= (int(QE6_B5_assistante_a_AMM/100)*12)+ QE6_B5_assistante_a_AMM-(int(QE6_B5_assistante_a_AMM/100)*100); - -familledeb= QE6_B5_famille_de_AMM; -if QE6_B5_famille_de_AMM ge 100 -then familledeb= (int(QE6_B5_famille_de_AMM/100)*12)+ QE6_B5_famille_de_AMM-(int(QE6_B5_famille_de_AMM/100)*100); - -famillefin= QE6_B5_famille_a_AMM; -if QE6_B5_famille_a_AMM ge 100 -then famillefin= (int(QE6_B5_famille_a_AMM/100)*12)+ QE6_B5_famille_a_AMM-(int(QE6_B5_famille_a_AMM/100)*100); - -employeedeb= QE6_B5_employee_de_AMM; -if QE6_B5_employee_de_AMM ge 100 -then employeedeb= (int(QE6_B5_employee_de_AMM/100)*12)+ QE6_B5_employee_de_AMM-(int(QE6_B5_employee_de_AMM/100)*100); - -employeefin= QE6_B5_employee_a_AMM; -if QE6_B5_employee_a_AMM ge 100 -then employeefin= (int(QE6_B5_employee_a_AMM/100)*12)+ QE6_B5_employee_a_AMM-(int(QE6_B5_employee_a_AMM/100)*100); - - -vous_memedeb= QE6_B5_vous_meme_de_AMM; -if QE6_B5_vous_meme_de_AMM ge 100 -then vous_memedeb= (int(QE6_B5_vous_meme_de_AMM/100)*12)+ QE6_B5_vous_meme_de_AMM-(int(QE6_B5_vous_meme_de_AMM/100)*100); - -vous_memefin= QE6_B5_vous_meme_a_AMM; -if QE6_B5_vous_meme_a_AMM ge 100 -then vous_memefin= (int(QE6_B5_vous_meme_a_AMM/100)*12)+ QE6_B5_vous_meme_a_AMM-(int(QE6_B5_vous_meme_a_AMM/100)*100); - -childcare_intro= min( Crechedeb,Assistantedeb,Familledeb,Employeedeb);",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q2,"A44,C593",,,LifeCycle_CDM,core,smk_exp1,partial,final,smoking status of the mother and the father but not information about exposure of the child or not,"/* _1 to _3 depending on child age at the 2yo-follow-up */ -if a44=1 or C593=1 then smk_exp2=1; -else if a44=0 and C593=0 then smk_exp2=0;",smoking status of the mother and the father but not information about exposure of the child or not -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcare_1,complete,final,variable generated for children followed at 6 years of age only,"if childcarerel_0 eq 1 or childcareprof_0 eq 1 or childcarecentre_0 eq 1 then childcare_0=1; -else if childcarerel_0 eq 0 and childcareprof_0 eq 0 and childcarecentre_0 eq 0 then childcare_0=0; -else if childcareparent_0 eq 1 and childcarerel_0 eq . and childcareprof_0 eq . and childcarecentre_0 eq . then do; -childcare_0=0;childcarerel_0=0;childcareprof_0=0;childcarecentre_0=0;end; - -if childcarerel_1 eq 1 or childcareprof_1 eq 1 or childcarecentre_1 eq 1 then childcare_1=1; -else if childcarerel_1 eq 0 and childcareprof_1 eq 0 and childcarecentre_1 eq 0 then childcare_1=0; -else if childcareparent_1 eq 1 and childcarerel_1 eq . and childcareprof_1 eq . and childcarecentre_1 eq . then do; -childcare_1=0;childcarerel_1=0;childcareprof_1=0;childcarecentre_1=0;end; - -if childcarerel_2 eq 1 or childcareprof_2 eq 1 or childcarecentre_2 eq 1 then childcare_2=1; -else if childcarerel_2 eq 0 and childcareprof_2 eq 0 and childcarecentre_2 eq 0 then childcare_2=0; -else if childcareparent_2 eq 1 and childcarerel_2 eq . and childcareprof_2 eq . and childcarecentre_2 eq . then do; -childcare_2=0;childcarerel_2=0;childcareprof_2=0;childcarecentre_2=0;end; - -if childcarerel_3 eq 1 or childcareprof_3 eq 1 or childcarecentre_3 eq 1 then childcare_3=1; -else if childcarerel_3 eq 0 and childcareprof_3 eq 0 and childcarecentre_3 eq 0 then childcare_3=0; -else if childcareparent_3 eq 1 and childcarerel_3 eq . and childcareprof_3 eq . and childcarecentre_3 eq . then do; -childcare_3=0;childcarerel_3=0;childcareprof_3=0;childcarecentre_3=0;end;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcare_2,complete,final,variable generated for children followed at 6 years of age only,"if childcarerel_0 eq 1 or childcareprof_0 eq 1 or childcarecentre_0 eq 1 then childcare_0=1; -else if childcarerel_0 eq 0 and childcareprof_0 eq 0 and childcarecentre_0 eq 0 then childcare_0=0; -else if childcareparent_0 eq 1 and childcarerel_0 eq . and childcareprof_0 eq . and childcarecentre_0 eq . then do; -childcare_0=0;childcarerel_0=0;childcareprof_0=0;childcarecentre_0=0;end; - -if childcarerel_1 eq 1 or childcareprof_1 eq 1 or childcarecentre_1 eq 1 then childcare_1=1; -else if childcarerel_1 eq 0 and childcareprof_1 eq 0 and childcarecentre_1 eq 0 then childcare_1=0; -else if childcareparent_1 eq 1 and childcarerel_1 eq . and childcareprof_1 eq . and childcarecentre_1 eq . then do; -childcare_1=0;childcarerel_1=0;childcareprof_1=0;childcarecentre_1=0;end; - -if childcarerel_2 eq 1 or childcareprof_2 eq 1 or childcarecentre_2 eq 1 then childcare_2=1; -else if childcarerel_2 eq 0 and childcareprof_2 eq 0 and childcarecentre_2 eq 0 then childcare_2=0; -else if childcareparent_2 eq 1 and childcarerel_2 eq . and childcareprof_2 eq . and childcarecentre_2 eq . then do; -childcare_2=0;childcarerel_2=0;childcareprof_2=0;childcarecentre_2=0;end; - -if childcarerel_3 eq 1 or childcareprof_3 eq 1 or childcarecentre_3 eq 1 then childcare_3=1; -else if childcarerel_3 eq 0 and childcareprof_3 eq 0 and childcarecentre_3 eq 0 then childcare_3=0; -else if childcareparent_3 eq 1 and childcarerel_3 eq . and childcareprof_3 eq . and childcarecentre_3 eq . then do; -childcare_3=0;childcarerel_3=0;childcareprof_3=0;childcarecentre_3=0;end;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcare_3,complete,final,variable generated for children followed at 6 years of age only,"if childcarerel_0 eq 1 or childcareprof_0 eq 1 or childcarecentre_0 eq 1 then childcare_0=1; -else if childcarerel_0 eq 0 and childcareprof_0 eq 0 and childcarecentre_0 eq 0 then childcare_0=0; -else if childcareparent_0 eq 1 and childcarerel_0 eq . and childcareprof_0 eq . and childcarecentre_0 eq . then do; -childcare_0=0;childcarerel_0=0;childcareprof_0=0;childcarecentre_0=0;end; - -if childcarerel_1 eq 1 or childcareprof_1 eq 1 or childcarecentre_1 eq 1 then childcare_1=1; -else if childcarerel_1 eq 0 and childcareprof_1 eq 0 and childcarecentre_1 eq 0 then childcare_1=0; -else if childcareparent_1 eq 1 and childcarerel_1 eq . and childcareprof_1 eq . and childcarecentre_1 eq . then do; -childcare_1=0;childcarerel_1=0;childcareprof_1=0;childcarecentre_1=0;end; - -if childcarerel_2 eq 1 or childcareprof_2 eq 1 or childcarecentre_2 eq 1 then childcare_2=1; -else if childcarerel_2 eq 0 and childcareprof_2 eq 0 and childcarecentre_2 eq 0 then childcare_2=0; -else if childcareparent_2 eq 1 and childcarerel_2 eq . and childcareprof_2 eq . and childcarecentre_2 eq . then do; -childcare_2=0;childcarerel_2=0;childcareprof_2=0;childcarecentre_2=0;end; - -if childcarerel_3 eq 1 or childcareprof_3 eq 1 or childcarecentre_3 eq 1 then childcare_3=1; -else if childcarerel_3 eq 0 and childcareprof_3 eq 0 and childcarecentre_3 eq 0 then childcare_3=0; -else if childcareparent_3 eq 1 and childcarerel_3 eq . and childcareprof_3 eq . and childcarecentre_3 eq . then do; -childcare_3=0;childcarerel_3=0;childcareprof_3=0;childcarecentre_3=0;end;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q2,B592,,,LifeCycle_CDM,core,sugar_psc,complete,final,,"/* bonbons, chocolat */ -if B592=. then bonbons=.; -else if B592=1 then bonbons=0; -else if B592=2 then bonbons=0.5; -else if B592=3 then bonbons=2; -else if B592=4 then bonbons=8; -else if B592=5 then bonbons=20; -else if B592=6 then bonbons=30; -else if B592=7 then bonbons=60; -sugar_psc=bonbons/30;", -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcareprof_1,complete,final,variable generated for children followed at 6 years of age only,"if 0<=assistantedeb<12 and assistantefin>0 then childcareprof_0=1; -if 0<=assistantedeb<24 and assistantefin >=12 then childcareprof_1=1; -if 0<=assistantedeb<36 and assistantefin >=24 then childcareprof_2=1; -if 0<=assistantedeb<48 and assistantefin >=36 then childcareprof_3=1; - -if childcare_intro ne . and childcareprof_0 eq . then childcareprof_0=0; -if childcare_intro ne . and childcareprof_1 eq . then childcareprof_1=0; -if childcare_intro ne . and childcareprof_2 eq . then childcareprof_2=0; -if childcare_intro ne . and childcareprof_3 eq . then childcareprof_3=0;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcarerel_0,complete,final,variable generated for children followed at 6 years of age only,"if 0<=Familledeb<12 and famillefin>0 then childcarerel_0=1; -else if 0<=Employeedeb<12 and employeefin>0 then childcarerel_0=1; - -if 0<=Familledeb<24 and Famillefin >=12 then childcarerel_1=1; -else if 0<=Employeedeb<24 and employeefin >= 12 then childcarerel_1=1; - -if 0<=Familledeb<36 and famillefin >=24 then childcarerel_2=1; -else if 0<=Employeedeb<36 and employeefin>= 24 then childcarerel_2=1; - -if 0<=Familledeb<48 and famillefin >=36 then childcarerel_3=1; -else if 0<=Employeedeb<48 and employeefin>=36 then childcarerel_3=1; - -if childcare_intro ne . and childcarerel_0 eq . then childcarerel_0=0; -if childcare_intro ne . and childcarerel_1 eq . then childcarerel_1=0; -if childcare_intro ne . and childcarerel_2 eq . then childcarerel_2=0; -if childcare_intro ne . and childcarerel_3 eq . then childcarerel_3=0;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcarerel_1,complete,final,variable generated for children followed at 6 years of age only,"if 0<=Familledeb<12 and famillefin>0 then childcarerel_0=1; -else if 0<=Employeedeb<12 and employeefin>0 then childcarerel_0=1; - -if 0<=Familledeb<24 and Famillefin >=12 then childcarerel_1=1; -else if 0<=Employeedeb<24 and employeefin >= 12 then childcarerel_1=1; - -if 0<=Familledeb<36 and famillefin >=24 then childcarerel_2=1; -else if 0<=Employeedeb<36 and employeefin>= 24 then childcarerel_2=1; - -if 0<=Familledeb<48 and famillefin >=36 then childcarerel_3=1; -else if 0<=Employeedeb<48 and employeefin>=36 then childcarerel_3=1; - -if childcare_intro ne . and childcarerel_0 eq . then childcarerel_0=0; -if childcare_intro ne . and childcarerel_1 eq . then childcarerel_1=0; -if childcare_intro ne . and childcarerel_2 eq . then childcarerel_2=0; -if childcare_intro ne . and childcarerel_3 eq . then childcarerel_3=0;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcarerel_2,complete,final,variable generated for children followed at 6 years of age only,"if 0<=Familledeb<12 and famillefin>0 then childcarerel_0=1; -else if 0<=Employeedeb<12 and employeefin>0 then childcarerel_0=1; - -if 0<=Familledeb<24 and Famillefin >=12 then childcarerel_1=1; -else if 0<=Employeedeb<24 and employeefin >= 12 then childcarerel_1=1; - -if 0<=Familledeb<36 and famillefin >=24 then childcarerel_2=1; -else if 0<=Employeedeb<36 and employeefin>= 24 then childcarerel_2=1; - -if 0<=Familledeb<48 and famillefin >=36 then childcarerel_3=1; -else if 0<=Employeedeb<48 and employeefin>=36 then childcarerel_3=1; - -if childcare_intro ne . and childcarerel_0 eq . then childcarerel_0=0; -if childcare_intro ne . and childcarerel_1 eq . then childcarerel_1=0; -if childcare_intro ne . and childcarerel_2 eq . then childcarerel_2=0; -if childcare_intro ne . and childcarerel_3 eq . then childcarerel_3=0;",variable generated for children followed at 6 years of age only -PELAGIE,harmonized,INT_INSTR_14,,,LifeCycle_CDM,outcome,int_instr_14,complete,final,,instr=47;, -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcarerel_3,complete,final,variable generated for children followed at 6 years of age only,"if 0<=Familledeb<12 and famillefin>0 then childcarerel_0=1; -else if 0<=Employeedeb<12 and employeefin>0 then childcarerel_0=1; - -if 0<=Familledeb<24 and Famillefin >=12 then childcarerel_1=1; -else if 0<=Employeedeb<24 and employeefin >= 12 then childcarerel_1=1; - -if 0<=Familledeb<36 and famillefin >=24 then childcarerel_2=1; -else if 0<=Employeedeb<36 and employeefin>= 24 then childcarerel_2=1; - -if 0<=Familledeb<48 and famillefin >=36 then childcarerel_3=1; -else if 0<=Employeedeb<48 and employeefin>=36 then childcarerel_3=1; - -if childcare_intro ne . and childcarerel_0 eq . then childcarerel_0=0; -if childcare_intro ne . and childcarerel_1 eq . then childcarerel_1=0; -if childcare_intro ne . and childcarerel_2 eq . then childcarerel_2=0; -if childcare_intro ne . and childcarerel_3 eq . then childcarerel_3=0;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcareprof_2,complete,final,variable generated for children followed at 6 years of age only,"if 0<=assistantedeb<12 and assistantefin>0 then childcareprof_0=1; -if 0<=assistantedeb<24 and assistantefin >=12 then childcareprof_1=1; -if 0<=assistantedeb<36 and assistantefin >=24 then childcareprof_2=1; -if 0<=assistantedeb<48 and assistantefin >=36 then childcareprof_3=1; - -if childcare_intro ne . and childcareprof_0 eq . then childcareprof_0=0; -if childcare_intro ne . and childcareprof_1 eq . then childcareprof_1=0; -if childcare_intro ne . and childcareprof_2 eq . then childcareprof_2=0; -if childcare_intro ne . and childcareprof_3 eq . then childcareprof_3=0;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q2,C675,,,LifeCycle_CDM,core,famsize_adult2,complete,final,,"/* _1 to _3 depending on child age at the 2yo-follow-up */ -if c675 ne . then famsize_adult2=c675;", -PELAGIE,harmonized,INT_EVAL_1,,,LifeCycle_CDM,outcome,int_eval_1,complete,final,,eval=2;, -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcareprof_3,complete,final,variable generated for children followed at 6 years of age only,"if 0<=assistantedeb<12 and assistantefin>0 then childcareprof_0=1; -if 0<=assistantedeb<24 and assistantefin >=12 then childcareprof_1=1; -if 0<=assistantedeb<36 and assistantefin >=24 then childcareprof_2=1; -if 0<=assistantedeb<48 and assistantefin >=36 then childcareprof_3=1; - -if childcare_intro ne . and childcareprof_0 eq . then childcareprof_0=0; -if childcare_intro ne . and childcareprof_1 eq . then childcareprof_1=0; -if childcare_intro ne . and childcareprof_2 eq . then childcareprof_2=0; -if childcare_intro ne . and childcareprof_3 eq . then childcareprof_3=0;",variable generated for children followed at 6 years of age only -PELAGIE,harmonized,AGGR_PRO_12,,,ATHLETE_CDM,outcome_ath,aggr_pc_12,complete,final,,"SDQ12$aggr_pc_12<-xtile(SDQ12$aggr_pro_12, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pelagie_q6,"QE6_D6_3,QE6_D6_11,QE6_D6_12,QE6_D6_13,QE6_D6_14",,,LifeCycle_CDM,core,grain_sch,complete,final,,"/* pates, riz, semoule */ -if QE6_d6_3=. then pate_riz=.; -else if QE6_d6_3=1 then pate_riz=0.5; -else if QE6_d6_3=2 then pate_riz=2; -else if QE6_d6_3=3 then pate_riz=8; -else if QE6_d6_3=4 then pate_riz=20; -else if QE6_d6_3=5 then pate_riz=30; -/* cereales petit dejeuner */ -if QE6_d6_11=. then cereale_dej=.; -else if QE6_d6_11=1 then cereale_dej=0.5; -else if QE6_d6_11=2 then cereale_dej=2; -else if QE6_d6_11=3 then cereale_dej=8; -else if QE6_d6_11=4 then cereale_dej=20; -else if QE6_d6_11=5 then cereale_dej=30; -/* pain complet */ -if QE6_d6_12=. then pain_complet=.; -else if QE6_d6_12=1 then pain_complet=0.5; -else if QE6_d6_12=2 then pain_complet=2; -else if QE6_d6_12=3 then pain_complet=8; -else if QE6_d6_12=4 then pain_complet=20; -else if QE6_d6_12=5 then pain_complet=30; -/* autres pains et cereales */ -if QE6_d6_13=. then pain_cereale_autre=.; -else if QE6_d6_13=1 then pain_cereale_autre=0.5; -else if QE6_d6_13=2 then pain_cereale_autre=2; -else if QE6_d6_13=3 then pain_cereale_autre=8; -else if QE6_d6_13=4 then pain_cereale_autre=20; -else if QE6_d6_13=5 then pain_cereale_autre=30; -/* viennoiseries, biscuits, gateaux */ -if QE6_d6_14=. then gateaux=.; -else if QE6_d6_14=1 then gateaux=0.5; -else if QE6_d6_14=2 then gateaux=2; -else if QE6_d6_14=3 then gateaux=8; -else if QE6_d6_14=4 then gateaux=20; -else if QE6_d6_14=5 then gateaux=30; -grain_sch=sum(pate_riz,cereale_dej,pain_complet,pain_cereale_autre,gateaux)/30;", -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcarecentre_0,complete,final,variable generated for children followed at 6 years of age only,"if 0<=crechedeb<12 and crechefin>0 then childcarecentre_0=1; -if 0<=crechedeb<24 and crechefin >=12 then childcarecentre_1=1; -if 0<=crechedeb<36 and crechefin >=24 then childcarecentre_2=1; -if 0<=crechedeb<48 and crechefin >=36 then childcarecentre_3=1; - - -if childcare_intro ne . and childcarecentre_0 eq . then childcarecentre_0=0; -if childcare_intro ne . and childcarecentre_1 eq . then childcarecentre_1=0; -if childcare_intro ne . and childcarecentre_2 eq . then childcarecentre_2=0; -if childcare_intro ne . and childcarecentre_3 eq . then childcarecentre_3=0;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle_CDM,outcome,asthma_11,complete,final,,"if SRA_Q7_1=1 and SRA_Q7_2_A>=11 and SRA_Q7_2_A<12 then asthma_11=1; -else if SRA_Q7_1=0 and age_q12>=11 then asthma_11=0; -else asthma_11=.;", -PELAGIE,pelagie_q6,"QE6_G1,QE6_G2",,,LifeCycle_CDM,core,smk_exp6,partial,final,smoking status of the mother and th efather but not information about exposure of the child or not,"/* _4 to _7 depending on child age at the 6yo-follow-up */ -if QE6_G1=1 or QE6_G2=1 then smk_exp6=1; -else if QE6_G1=0 and QE6_G2=0 then smk_exp6=0;",smoking status of the mother and th efather but not information about exposure of the child or not -PELAGIE,harmonized,DIETASS_PSC,,,LifeCycle_CDM,core,dietass_psc,complete,final,,dietass_psc=1;, -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcarecentre_1,complete,final,variable generated for children followed at 6 years of age only,"if 0<=crechedeb<12 and crechefin>0 then childcarecentre_0=1; -if 0<=crechedeb<24 and crechefin >=12 then childcarecentre_1=1; -if 0<=crechedeb<36 and crechefin >=24 then childcarecentre_2=1; -if 0<=crechedeb<48 and crechefin >=36 then childcarecentre_3=1; - - -if childcare_intro ne . and childcarecentre_0 eq . then childcarecentre_0=0; -if childcare_intro ne . and childcarecentre_1 eq . then childcarecentre_1=0; -if childcare_intro ne . and childcarecentre_2 eq . then childcarecentre_2=0; -if childcare_intro ne . and childcarecentre_3 eq . then childcarecentre_3=0;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcarecentre_2,complete,final,variable generated for children followed at 6 years of age only,"if 0<=crechedeb<12 and crechefin>0 then childcarecentre_0=1; -if 0<=crechedeb<24 and crechefin >=12 then childcarecentre_1=1; -if 0<=crechedeb<36 and crechefin >=24 then childcarecentre_2=1; -if 0<=crechedeb<48 and crechefin >=36 then childcarecentre_3=1; - - -if childcare_intro ne . and childcarecentre_0 eq . then childcarecentre_0=0; -if childcare_intro ne . and childcarecentre_1 eq . then childcarecentre_1=0; -if childcare_intro ne . and childcarecentre_2 eq . then childcarecentre_2=0; -if childcare_intro ne . and childcarecentre_3 eq . then childcarecentre_3=0;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q6,"QE6_G1,QE6_G2",,,LifeCycle_CDM,core,smk_exp8,partial,final,smoking status of the mother and th efather but not information about exposure of the child or not,"/* _4 to _7 depending on child age at the 6yo-follow-up */ -if QE6_G1=1 or QE6_G2=1 then smk_exp6=1; -else if QE6_G1=0 and QE6_G2=0 then smk_exp6=0;",smoking status of the mother and th efather but not information about exposure of the child or not -PELAGIE,pelagie_q6,QE6_D6_5,,,LifeCycle_CDM,core,redmeat_sch,complete,final,,"/* viande_rouge */ -if QE6_d6_5=. then viande_rouge=.; -else if QE6_d6_5=1 then viande_rouge=0.5; -else if QE6_d6_5=2 then viande_rouge=2; -else if QE6_d6_5=3 then viande_rouge=8; -else if QE6_d6_5=4 then viande_rouge=20; -else if QE6_d6_5=5 then viande_rouge=30; - -redmeat_sch=viande_rouge/30;", -PELAGIE,pelagie_q6,"QE6_B5_CRECHE_DE_AMM,QE6_B5_CRECHE_A_AMM,QE6_B5_ASSISTANTE_DE_AMM,QE6_B5_ASSISTANTE_A_AMM,QE6_B5_FAMILLE_DE_AMM,QE6_B5_FAMILLE_A_AMM,QE6_B5_EMPLOYEE_DE_AMM,QE6_B5_EMPLOYEE_A_AMM,QE6_B5_VOUS_MEME_DE_AMM,QE6_B5_VOUS_MEME_A_AMM",,,LifeCycle_CDM,core,childcarecentre_3,complete,final,variable generated for children followed at 6 years of age only,"if 0<=crechedeb<12 and crechefin>0 then childcarecentre_0=1; -if 0<=crechedeb<24 and crechefin >=12 then childcarecentre_1=1; -if 0<=crechedeb<36 and crechefin >=24 then childcarecentre_2=1; -if 0<=crechedeb<48 and crechefin >=36 then childcarecentre_3=1; - - -if childcare_intro ne . and childcarecentre_0 eq . then childcarecentre_0=0; -if childcare_intro ne . and childcarecentre_1 eq . then childcarecentre_1=0; -if childcare_intro ne . and childcarecentre_2 eq . then childcarecentre_2=0; -if childcare_intro ne . and childcarecentre_3 eq . then childcarecentre_3=0;",variable generated for children followed at 6 years of age only -PELAGIE,pelagie_q6,"QE6_G1,QE6_G2",,,LifeCycle_CDM,core,smk_exp5,partial,final,smoking status of the mother and th efather but not information about exposure of the child or not,"/* _4 to _7 depending on child age at the 6yo-follow-up */ -if QE6_G1=1 or QE6_G2=1 then smk_exp6=1; -else if QE6_G1=0 and QE6_G2=0 then smk_exp6=0;",smoking status of the mother and th efather but not information about exposure of the child or not -PELAGIE,pelagie_q2,C675,,,LifeCycle_CDM,core,famsize_adult3,complete,final,,"/* _1 to _3 depending on child age at the 2yo-follow-up */ -if c675 ne . then famsize_adult2=c675;", -PELAGIE,pelagie_q12,"CT_Q1_1,CT_Q1_2,CT_Q2_1,CT_Q2_2,CT_Q3_1,CT_Q3_2,CT_Q4_1,CT_Q4_2",,,LifeCycle_CDM,core,smk_exp12,partial,final,smoking status of the mother and th efather but not information about exposure of the child or not,"/* _12 to _14 depending on child age at 12yo follow-up */ -* Tabagisme passif aux domiciles; -if domimult=0 then do; - if CT_Q1_1=1 or CT_Q2_1=1 or CT_Q4_1=1 then smk_exp12=1; - else if CT_Q1_1 in (0,2) and CT_Q2_1=0 and CT_Q4_1 ne 1 then smk_exp12=0; - end; -else if domimult=1 then do; - if CT_Q1_1=1 or CT_Q2_1=1 or CT_Q4_1=1 then smk_exp12=1; - else if CT_Q1_1 in (0,2) and CT_Q2_1=0 and CT_Q4_1=0 then smk_exp12=0; - end;",smoking status of the mother and th efather but not information about exposure of the child or not -PELAGIE,pelagie_q12,FA_Q3_2,,,LifeCycle_CDM,core,famsize_child13,partial,final,"Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults","/* _12 to _14 depending on child age at the 12yo-follow-up */ -famsize_child12=FA_Q3_2 +1;","Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults" -PELAGIE,pelagie_q12,"CT_Q1_1,CT_Q1_2,CT_Q2_1,CT_Q2_2,CT_Q3_1,CT_Q3_2,CT_Q4_1,CT_Q4_2",,,LifeCycle_CDM,core,smk_exp13,partial,final,smoking status of the mother and th efather but not information about exposure of the child or not,"/* _12 to _14 depending on child age at 12yo follow-up */ -* Tabagisme passif aux domiciles; -if domimult=0 then do; - if CT_Q1_1=1 or CT_Q2_1=1 or CT_Q4_1=1 then smk_exp12=1; - else if CT_Q1_1 in (0,2) and CT_Q2_1=0 and CT_Q4_1 ne 1 then smk_exp12=0; - end; -else if domimult=1 then do; - if CT_Q1_1=1 or CT_Q2_1=1 or CT_Q4_1=1 then smk_exp12=1; - else if CT_Q1_1 in (0,2) and CT_Q2_1=0 and CT_Q4_1=0 then smk_exp12=0; - end;",smoking status of the mother and th efather but not information about exposure of the child or not -PELAGIE,pelagie_q12,"CT_Q1_1,CT_Q1_2,CT_Q2_1,CT_Q2_2,CT_Q3_1,CT_Q3_2,CT_Q4_1,CT_Q4_2",,,LifeCycle_CDM,core,smk_exp14,partial,final,smoking status of the mother and th efather but not information about exposure of the child or not,"/* _12 to _14 depending on child age at 12yo follow-up */ -* Tabagisme passif aux domiciles; -if domimult=0 then do; - if CT_Q1_1=1 or CT_Q2_1=1 or CT_Q4_1=1 then smk_exp12=1; - else if CT_Q1_1 in (0,2) and CT_Q2_1=0 and CT_Q4_1 ne 1 then smk_exp12=0; - end; -else if domimult=1 then do; - if CT_Q1_1=1 or CT_Q2_1=1 or CT_Q4_1=1 then smk_exp12=1; - else if CT_Q1_1 in (0,2) and CT_Q2_1=0 and CT_Q4_1=0 then smk_exp12=0; - end;",smoking status of the mother and th efather but not information about exposure of the child or not -PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,ext_age_3,complete,final,,ext_age_3=(b3-ddn_2021)/365.2422;, -PELAGIE,pelagie_q2,"B413,B441,B442",,,LifeCycle_CDM,core,pets_0,partial,final,data collected at 2yo (pet from birth),"if B413=0 and B441 ne 1 then do; pets_0=0; pets_1=0;pets_2=0; end; -if B413=0 and B441=1 then do; pets_0=1; pets_1=0; pets_2=0;end; - -else if B413=1 and B441=0 then do; pets_0=1; pets_1=1; pets_2=1;end; -else if B413=1 and B441=1 then do; - if 0<=B442<12 then do; pets_0=1; pets_1=0; pets_2=0;end; - else if 12<=B442<24 then do; pets_0=1; pets_1=1; pets_2=0;end; - else if 24<=B442 then do; pets_0=1; pets_1=1; pets_2=1;end; - end; -if B413=1 and B441=. then do; pets_0=1; pets_1=1; pets_2=1;end; * si animal mais on ne sait pas si séparation ou à quel âge séparation, animal présent les 2 1eres années; -if B413=1 and B441=1 and B442=. then do; pets_0=1; pets_1=1;pets_2=1; end; -if ageq2 eq 1 then pets_2=.; -if ageq2 eq 3 then pets_3=pets_2;",data collected at 2yo (pet from birth) -PELAGIE,pelagie_q0,V155,,,LifeCycle_CDM,core,supp_pgn,complete,final,,supp_pgn=v155;, -PELAGIE,pelagie_q6,QS6_C5,,,ATHLETE_CDM,outcome_ath,n_wheezing_12m_5,complete,final,,"if (5 le age_enfant_quest lt 6) then do; -n_wheezing_12m_5=QS6_C5; -end;", -PELAGIE,pelagie_q6,"QE6_A3_AGE_1,QE6_A3_AGE_2,QE6_A3_AGE_3,QE6_A3_AGE_4,QE6_A3_AGE_5,QE6_A3_AGE_6,QE6_A3_AGE_7",,,LifeCycle_CDM,core,famsize_child5,complete,final,,"/* _5 to _8 depending on child age at 6yo follow-up */ -if QE6_A3_Age_1 ne . then do; famsize_child6=1;famsize_adult6=1;end; -if 0<=QE6_A3_Age_1<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_1 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_2<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_2 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_3<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_3 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_4<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_4 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_5<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_5 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_6<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_6 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_7<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_7 >17 then famsize_adult6=famsize_adult6+1;", -PELAGIE,pelagie_q12,"SRA_Q1_2,SRA_Q1_3_A,SRA_Q1_4_A,AGE_Q12",,,LifeCycle_CDM,outcome,whe_12,complete,final,,"if (SRA_Q1_1=1 and (SRA_Q1_3_A>=12 and SRA_Q1_3_A<13) or (SRA_Q1_4_A>=12 and SRA_Q1_4_A<13)) or (SRA_Q1_2=1 - and age_q12>=12 and age_q12<13) then whe_12=1; -else if (SRA_Q1_1=0 and age_q12>=12) or (SRA_Q1_2=0 and age_q12>=12 and age_q12<13) then whe_12=0; -else whe_12=.;", -PELAGIE,pelagie_q6,"QE6_A3_AGE_1,QE6_A3_AGE_2,QE6_A3_AGE_3,QE6_A3_AGE_4,QE6_A3_AGE_5,QE6_A3_AGE_6,QE6_A3_AGE_7",,,LifeCycle_CDM,core,famsize_child6,complete,final,,"/* _5 to _8 depending on child age at 6yo follow-up */ -if QE6_A3_Age_1 ne . then do; famsize_child6=1;famsize_adult6=1;end; -if 0<=QE6_A3_Age_1<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_1 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_2<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_2 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_3<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_3 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_4<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_4 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_5<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_5 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_6<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_6 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_7<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_7 >17 then famsize_adult6=famsize_adult6+1;", -PELAGIE,pelagie_q12,FA_Q3_1,,,LifeCycle_CDM,core,famsize_adult12,partial,final,"Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults","/* _12 to _14 depending on child age at the 12yo-follow-up */ -famsize_adult12=FA_Q3_1;","Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults" -PELAGIE,pelagie_q2,"B413,B441,B442",,,LifeCycle_CDM,core,pets_1,partial,final,data collected at 2yo (pet from birth),"if B413=0 and B441 ne 1 then do; pets_0=0; pets_1=0;pets_2=0; end; -if B413=0 and B441=1 then do; pets_0=1; pets_1=0; pets_2=0;end; - -else if B413=1 and B441=0 then do; pets_0=1; pets_1=1; pets_2=1;end; -else if B413=1 and B441=1 then do; - if 0<=B442<12 then do; pets_0=1; pets_1=0; pets_2=0;end; - else if 12<=B442<24 then do; pets_0=1; pets_1=1; pets_2=0;end; - else if 24<=B442 then do; pets_0=1; pets_1=1; pets_2=1;end; - end; -if B413=1 and B441=. then do; pets_0=1; pets_1=1; pets_2=1;end; * si animal mais on ne sait pas si séparation ou à quel âge séparation, animal présent les 2 1eres années; -if B413=1 and B441=1 and B442=. then do; pets_0=1; pets_1=1;pets_2=1; end; -if ageq2 eq 1 then pets_2=.; -if ageq2 eq 3 then pets_3=pets_2;",data collected at 2yo (pet from birth) -PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle_CDM,outcome,hipcircmes_151,complete,final,,hipcircmes_151=0;, -PELAGIE,pelagie_q2,AGE_Q2ANS,,,LifeCycle_CDM,core,dietage_psc,complete,final,,dietage_psc=age_q2ans/12;, -PELAGIE,pelagie_q2,"B413,B441,B442",,,LifeCycle_CDM,core,pets_2,partial,final,data collected at 2yo (pet from birth),"if B413=0 and B441 ne 1 then do; pets_0=0; pets_1=0;pets_2=0; end; -if B413=0 and B441=1 then do; pets_0=1; pets_1=0; pets_2=0;end; - -else if B413=1 and B441=0 then do; pets_0=1; pets_1=1; pets_2=1;end; -else if B413=1 and B441=1 then do; - if 0<=B442<12 then do; pets_0=1; pets_1=0; pets_2=0;end; - else if 12<=B442<24 then do; pets_0=1; pets_1=1; pets_2=0;end; - else if 24<=B442 then do; pets_0=1; pets_1=1; pets_2=1;end; - end; -if B413=1 and B441=. then do; pets_0=1; pets_1=1; pets_2=1;end; * si animal mais on ne sait pas si séparation ou à quel âge séparation, animal présent les 2 1eres années; -if B413=1 and B441=1 and B442=. then do; pets_0=1; pets_1=1;pets_2=1; end; -if ageq2 eq 1 then pets_2=.; -if ageq2 eq 3 then pets_3=pets_2;",data collected at 2yo (pet from birth) -PELAGIE,pelagie_q6,"QE6_A3_AGE_1,QE6_A3_AGE_2,QE6_A3_AGE_3,QE6_A3_AGE_4,QE6_A3_AGE_5,QE6_A3_AGE_6,QE6_A3_AGE_7",,,LifeCycle_CDM,core,famsize_child8,complete,final,,"/* _5 to _8 depending on child age at 6yo follow-up */ -if QE6_A3_Age_1 ne . then do; famsize_child6=1;famsize_adult6=1;end; -if 0<=QE6_A3_Age_1<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_1 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_2<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_2 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_3<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_3 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_4<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_4 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_5<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_5 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_6<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_6 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_7<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_7 >17 then famsize_adult6=famsize_adult6+1;", -PELAGIE,pelagie_q6,"QE6_A3_AGE_1,QE6_A3_AGE_2,QE6_A3_AGE_3,QE6_A3_AGE_4,QE6_A3_AGE_5,QE6_A3_AGE_6,QE6_A3_AGE_7",,,LifeCycle_CDM,core,famsize_adult5,complete,final,,"/* _5 to _8 depending on child age at 6yo follow-up */ -if QE6_A3_Age_1 ne . then do; famsize_child6=1;famsize_adult6=1;end; -if 0<=QE6_A3_Age_1<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_1 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_2<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_2 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_3<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_3 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_4<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_4 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_5<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_5 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_6<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_6 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_7<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_7 >17 then famsize_adult6=famsize_adult6+1;", -PELAGIE,pelagie_q2,"B413,B441,B442",,,LifeCycle_CDM,core,pets_3,partial,final,data collected at 2yo (pet from birth),"if B413=0 and B441 ne 1 then do; pets_0=0; pets_1=0;pets_2=0; end; -if B413=0 and B441=1 then do; pets_0=1; pets_1=0; pets_2=0;end; - -else if B413=1 and B441=0 then do; pets_0=1; pets_1=1; pets_2=1;end; -else if B413=1 and B441=1 then do; - if 0<=B442<12 then do; pets_0=1; pets_1=0; pets_2=0;end; - else if 12<=B442<24 then do; pets_0=1; pets_1=1; pets_2=0;end; - else if 24<=B442 then do; pets_0=1; pets_1=1; pets_2=1;end; - end; -if B413=1 and B441=. then do; pets_0=1; pets_1=1; pets_2=1;end; * si animal mais on ne sait pas si séparation ou à quel âge séparation, animal présent les 2 1eres années; -if B413=1 and B441=1 and B442=. then do; pets_0=1; pets_1=1;pets_2=1; end; -if ageq2 eq 1 then pets_2=.; -if ageq2 eq 3 then pets_3=pets_2;",data collected at 2yo (pet from birth) -PELAGIE,pelagie_q6,"QE6_NB_DOMICILE,QE6_F3_1,QE6_F3_2,QE6_F3_3,QE6_F3_4,QE6_F3_5",,,LifeCycle_CDM,core,pets_5,complete,final,"pets_5, _6_ or _7 is filled in according to the exact age of the child when answering the 6yo questionnaire","if QE6_Nb_Domicile=1 then do; if QE6_F3_1=1 then pets_6=1; else if QE6_F3_1=0 then pets_6=0; end; -else if QE6_Nb_Domicile=2 then do; if QE6_F3_2=1 then pets_6=1; else if QE6_F3_2=0 then pets_6=0; end; -else if QE6_Nb_Domicile=3 then do; if QE6_F3_3=1 then pets_6=1; else if QE6_F3_3=0 then pets_6=0; end; -else if QE6_Nb_Domicile=4 then do; if QE6_F3_4=1 then pets_6=1; else if QE6_F3_4=0 then pets_6=0; end; -else if QE6_Nb_Domicile=5 then do; if QE6_F3_5=1 then pets_6=1; else if QE6_F3_5=0 then pets_6=0; end;","pets_5, _6_ or _7 is filled in according to the exact age of the child when answering the 6yo questionnaire" -PELAGIE,pelagie_q6,"QE6_NB_DOMICILE,QE6_F3_1,QE6_F3_2,QE6_F3_3,QE6_F3_4,QE6_F3_5",,,LifeCycle_CDM,core,pets_6,complete,final,"pets_5, _6_ or _7 is filled in according to the exact age of the child when answering the 6yo questionnaire","if QE6_Nb_Domicile=1 then do; if QE6_F3_1=1 then pets_6=1; else if QE6_F3_1=0 then pets_6=0; end; -else if QE6_Nb_Domicile=2 then do; if QE6_F3_2=1 then pets_6=1; else if QE6_F3_2=0 then pets_6=0; end; -else if QE6_Nb_Domicile=3 then do; if QE6_F3_3=1 then pets_6=1; else if QE6_F3_3=0 then pets_6=0; end; -else if QE6_Nb_Domicile=4 then do; if QE6_F3_4=1 then pets_6=1; else if QE6_F3_4=0 then pets_6=0; end; -else if QE6_Nb_Domicile=5 then do; if QE6_F3_5=1 then pets_6=1; else if QE6_F3_5=0 then pets_6=0; end;","pets_5, _6_ or _7 is filled in according to the exact age of the child when answering the 6yo questionnaire" -PELAGIE,pelagie_q6,QE6_D6_10,,,LifeCycle_CDM,core,veg_sch,partial,final,Partial harmonization because it can include potatoes,"/* legumes et crudités */ -if QE6_d6_10=. then legume=.; -else if QE6_d6_10=1 then legume=0.5; -else if QE6_d6_10=2 then legume=2; -else if QE6_d6_10=3 then legume=8; -else if QE6_d6_10=4 then legume=20; -else if QE6_d6_10=5 then legume=30; - -veg_sch=legume/30;",Partial harmonization because it can include potatoes -PELAGIE,pelagie_q12,FA_Q3_2,,,LifeCycle_CDM,core,famsize_child12,partial,final,"Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults","/* _12 to _14 depending on child age at the 12yo-follow-up */ -famsize_child12=FA_Q3_2 +1;","Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults" -PELAGIE,pelagie_q6,"QE6_NB_DOMICILE,QE6_F3_1,QE6_F3_2,QE6_F3_3,QE6_F3_4,QE6_F3_5",,,LifeCycle_CDM,core,pets_7,complete,final,"pets_5, _6_ or _7 is filled in according to the exact age of the child when answering the 6yo questionnaire","if QE6_Nb_Domicile=1 then do; if QE6_F3_1=1 then pets_6=1; else if QE6_F3_1=0 then pets_6=0; end; -else if QE6_Nb_Domicile=2 then do; if QE6_F3_2=1 then pets_6=1; else if QE6_F3_2=0 then pets_6=0; end; -else if QE6_Nb_Domicile=3 then do; if QE6_F3_3=1 then pets_6=1; else if QE6_F3_3=0 then pets_6=0; end; -else if QE6_Nb_Domicile=4 then do; if QE6_F3_4=1 then pets_6=1; else if QE6_F3_4=0 then pets_6=0; end; -else if QE6_Nb_Domicile=5 then do; if QE6_F3_5=1 then pets_6=1; else if QE6_F3_5=0 then pets_6=0; end;","pets_5, _6_ or _7 is filled in according to the exact age of the child when answering the 6yo questionnaire" -PELAGIE,pelagie_q12,LV_Q3_1,,,LifeCycle_CDM,core,pets_12,complete,final,"pets_12, _13_ or _14 is filled in according to the exact age of the child when answering the 12yo questionnaire",pets_12=LV_Q3_1;,"pets_12, _13_ or _14 is filled in according to the exact age of the child when answering the 12yo questionnaire" -PELAGIE,pelagie_q12,LV_Q3_1,,,LifeCycle_CDM,core,pets_13,complete,final,"pets_12, _13_ or _14 is filled in according to the exact age of the child when answering the 12yo questionnaire",pets_12=LV_Q3_1;,"pets_12, _13_ or _14 is filled in according to the exact age of the child when answering the 12yo questionnaire" -PELAGIE,pelagie_q12,LV_Q3_1,,,LifeCycle_CDM,core,pets_14,complete,final,"pets_12, _13_ or _14 is filled in according to the exact age of the child when answering the 12yo questionnaire",pets_12=LV_Q3_1;,"pets_12, _13_ or _14 is filled in according to the exact age of the child when answering the 12yo questionnaire" -PELAGIE,pelagie_q12,FA_Q3_2,,,LifeCycle_CDM,core,famsize_child14,partial,final,"Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults","/* _12 to _14 depending on child age at the 12yo-follow-up */ -famsize_child12=FA_Q3_2 +1;","Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults" -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_bpa_lod_t1,complete,final,,BDD_phtalates_phenols$m_bpa_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.04, -PELAGIE,pelagie_q6,"QE6_A3_AGE_1,QE6_A3_AGE_2,QE6_A3_AGE_3,QE6_A3_AGE_4,QE6_A3_AGE_5,QE6_A3_AGE_6,QE6_A3_AGE_7",,,LifeCycle_CDM,core,famsize_child7,complete,final,,"/* _5 to _8 depending on child age at 6yo follow-up */ -if QE6_A3_Age_1 ne . then do; famsize_child6=1;famsize_adult6=1;end; -if 0<=QE6_A3_Age_1<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_1 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_2<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_2 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_3<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_3 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_4<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_4 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_5<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_5 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_6<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_6 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_7<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_7 >17 then famsize_adult6=famsize_adult6+1;", -PELAGIE,BDD_phtalates_phenols,"OXBE,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_oxbe_raw_t1,complete,final,,BDD_phtalates_phenols$m_oxbe_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$OXBE, -PELAGIE,pelagie_q2,"C611,C612,A5,A6,A8","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12","QE6_A1,QE6_A2_SEMAINE,QE6_A2_MOIS,QE6_A4,QE6_A4_DATE_AAMM,QE6_A4AUTRE,FA_Q2_1,FA_Q3_1",LifeCycle_CDM,core,fam_splitup0,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"A44,C593","pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12","QE6_G1,QE6_G2,CT_Q1_1,CT_Q1_2,CT_Q2_1,CT_Q2_2,CT_Q3_1,CT_Q3_2,CT_Q4_1,CT_Q4_2",LifeCycle_CDM,core,fam_splitup1,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"C611,C612,A5,A6,A8","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12","QE6_A1,QE6_A2_SEMAINE,QE6_A2_MOIS,QE6_A4,QE6_A4_DATE_AAMM,QE6_A4AUTRE,FA_Q2_1,FA_Q3_1",LifeCycle_CDM,core,fam_splitup2,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"A44,C593","pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12","QE6_G1,QE6_G2,CT_Q1_1,CT_Q1_2,CT_Q2_1,CT_Q2_2,CT_Q3_1,CT_Q3_2,CT_Q4_1,CT_Q4_2",LifeCycle_CDM,core,fam_splitup3,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"C611,C612,A5,A6,A8","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12","QE6_A1,QE6_A2_SEMAINE,QE6_A2_MOIS,QE6_A4,QE6_A4_DATE_AAMM,QE6_A4AUTRE,FA_Q2_1,FA_Q3_1",LifeCycle_CDM,core,fam_splitup4,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"A44,C593","pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12","QE6_G1,QE6_G2,CT_Q1_1,CT_Q1_2,CT_Q2_1,CT_Q2_2,CT_Q3_1,CT_Q3_2,CT_Q4_1,CT_Q4_2",LifeCycle_CDM,core,fam_splitup5,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"C611,C612,A5,A6,A8","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12","QE6_A1,QE6_A2_SEMAINE,QE6_A2_MOIS,QE6_A4,QE6_A4_DATE_AAMM,QE6_A4AUTRE,FA_Q2_1,FA_Q3_1",LifeCycle_CDM,core,fam_splitup6,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"A44,C593","pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12","QE6_G1,QE6_G2,CT_Q1_1,CT_Q1_2,CT_Q2_1,CT_Q2_2,CT_Q3_1,CT_Q3_2,CT_Q4_1,CT_Q4_2",LifeCycle_CDM,core,fam_splitup7,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"C611,C612,A5,A6,A8","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12","QE6_A1,QE6_A2_SEMAINE,QE6_A2_MOIS,QE6_A4,QE6_A4_DATE_AAMM,QE6_A4AUTRE,FA_Q2_1,FA_Q3_1",LifeCycle_CDM,core,fam_splitup8,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"A44,C593","pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12","QE6_G1,QE6_G2,CT_Q1_1,CT_Q1_2,CT_Q2_1,CT_Q2_2,CT_Q3_1,CT_Q3_2,CT_Q4_1,CT_Q4_2",LifeCycle_CDM,core,fam_splitup9,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"C611,C612,A5,A6,A8","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12","QE6_A1,QE6_A2_SEMAINE,QE6_A2_MOIS,QE6_A4,QE6_A4_DATE_AAMM,QE6_A4AUTRE,FA_Q2_1,FA_Q3_1",LifeCycle_CDM,core,fam_splitup10,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"A44,C593","pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12","QE6_G1,QE6_G2,CT_Q1_1,CT_Q1_2,CT_Q2_1,CT_Q2_2,CT_Q3_1,CT_Q3_2,CT_Q4_1,CT_Q4_2",LifeCycle_CDM,core,fam_splitup11,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"C611,C612,A5,A6,A8","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12","QE6_A1,QE6_A2_SEMAINE,QE6_A2_MOIS,QE6_A4,QE6_A4_DATE_AAMM,QE6_A4AUTRE,FA_Q2_1,FA_Q3_1",LifeCycle_CDM,core,fam_splitup12,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"A44,C593","pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12","QE6_G1,QE6_G2,CT_Q1_1,CT_Q1_2,CT_Q2_1,CT_Q2_2,CT_Q3_1,CT_Q3_2,CT_Q4_1,CT_Q4_2",LifeCycle_CDM,core,fam_splitup13,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,"C611,C612,A5,A6,A8","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q12,pelagie_q12","QE6_A1,QE6_A2_SEMAINE,QE6_A2_MOIS,QE6_A4,QE6_A4_DATE_AAMM,QE6_A4AUTRE,FA_Q2_1,FA_Q3_1",LifeCycle_CDM,core,fam_splitup14,partial,final,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0",/* too long to be provided and many case by case situations; write with our original participant ID */,"Data collected at the 2, 6 and 12 years of age follow-ups, the split-up event is reported without timing data inducing missing data for preceding ages of the child. -Ex: when split up was declared in the 6-year-old questionnaire with a report of living as a couple in the 2-year-old questionnaire, we put: fam_splitup6 = 1, fam_splitup5 = ., fam_splitup4 = ., fam_splitup3 = ., fam_splitup2 = 0" -PELAGIE,pelagie_q2,C676,,,LifeCycle_CDM,core,famsize_child1,complete,final,,"/* _1 to _3 depending on child age at the 2yo-follow-up */ -if c676 ne . then famsize_child2=c676+1;", -PELAGIE,pelagie_q2,C676,,,LifeCycle_CDM,core,famsize_child2,complete,final,,"/* _1 to _3 depending on child age at the 2yo-follow-up */ -if c676 ne . then famsize_child2=c676+1;", -PELAGIE,pelagie_q2,C676,,,LifeCycle_CDM,core,famsize_child3,complete,final,,"/* _1 to _3 depending on child age at the 2yo-follow-up */ -if c676 ne . then famsize_child2=c676+1;", -PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle_CDM,outcome,asthma_13,complete,final,,"if SRA_Q7_1=1 and SRA_Q7_2_A>=13 and SRA_Q7_2_A<14 then asthma_13=1; -else if SRA_Q7_1=0 and age_q12>=13 then asthma_13=0; -else asthma_13=.;", -PELAGIE,pelagie_q6,"QE6_A3_AGE_1,QE6_A3_AGE_2,QE6_A3_AGE_3,QE6_A3_AGE_4,QE6_A3_AGE_5,QE6_A3_AGE_6,QE6_A3_AGE_7",,,LifeCycle_CDM,core,famsize_adult6,complete,final,,"/* _5 to _8 depending on child age at 6yo follow-up */ -if QE6_A3_Age_1 ne . then do; famsize_child6=1;famsize_adult6=1;end; -if 0<=QE6_A3_Age_1<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_1 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_2<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_2 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_3<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_3 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_4<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_4 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_5<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_5 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_6<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_6 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_7<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_7 >17 then famsize_adult6=famsize_adult6+1;", -PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle_CDM,outcome,hipcircmes_150,complete,final,,hipcircmes_150=0;, -PELAGIE,harmonized,DIETASS_PGN,,,LifeCycle_CDM,core,dietass_pgn,complete,final,,dietass_pgn=1;, -PELAGIE,harmonized,ATT_INSTR_6,,,ATHLETE_CDM,outcome_ath,att_instr_6,partial,final,,att_instr_6=62;,"Test=R-CPT90. 3 target items were excluded (1, 2 , 12) because of technical errors, resulting in 177 targets and 20 non-targets items" -PELAGIE,harmonized,LAN_EVAL_6,,,LifeCycle_CDM,outcome,lan_eval_6,complete,final,,lan_eval_6=3;, -PELAGIE,pelagie_q6,"QE6_A3_AGE_1,QE6_A3_AGE_2,QE6_A3_AGE_3,QE6_A3_AGE_4,QE6_A3_AGE_5,QE6_A3_AGE_6,QE6_A3_AGE_7",,,LifeCycle_CDM,core,famsize_adult7,complete,final,,"/* _5 to _8 depending on child age at 6yo follow-up */ -if QE6_A3_Age_1 ne . then do; famsize_child6=1;famsize_adult6=1;end; -if 0<=QE6_A3_Age_1<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_1 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_2<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_2 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_3<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_3 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_4<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_4 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_5<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_5 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_6<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_6 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_7<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_7 >17 then famsize_adult6=famsize_adult6+1;", -PELAGIE,pelagie_q0,V122,,,LifeCycle_CDM,core,fruit_pgn,complete,final,,"/* Fruits et jus de fruits */ -if v122=. then fruits=.; -else if v122=0 then fruits=0.5; -else if v122=1 then fruits=3; -else if v122=2 then fruits=10; -else if v122=3 then fruits=20; -else if v122=4 then fruits=30; -/* fruit_pgn = Fruits during pregnancy ---> we included ""Fruits et natural (fresh) juice (v122)"" */ -fruit_pgn=fruits/30;", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mchp_lod_t1,complete,final,,BDD_phtalates_phenols$m_mchp_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20, -PELAGIE,pelagie_q6,"QE6_A3_AGE_1,QE6_A3_AGE_2,QE6_A3_AGE_3,QE6_A3_AGE_4,QE6_A3_AGE_5,QE6_A3_AGE_6,QE6_A3_AGE_7",,,LifeCycle_CDM,core,famsize_adult8,complete,final,,"/* _5 to _8 depending on child age at 6yo follow-up */ -if QE6_A3_Age_1 ne . then do; famsize_child6=1;famsize_adult6=1;end; -if 0<=QE6_A3_Age_1<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_1 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_2<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_2 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_3<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_3 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_4<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_4 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_5<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_5 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_6<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_6 >17 then famsize_adult6=famsize_adult6+1; - -if 0<=QE6_A3_Age_7<18 then famsize_child6=famsize_child6+1; -else if QE6_A3_Age_7 >17 then famsize_adult6=famsize_adult6+1;", -PELAGIE,pelagie_q12,FA_Q3_1,,,LifeCycle_CDM,core,famsize_adult13,partial,final,"Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults","/* _12 to _14 depending on child age at the 12yo-follow-up */ -famsize_adult12=FA_Q3_1;","Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults" -PELAGIE,pelagie_q2,B575,,,LifeCycle_CDM,core,pulses_psc,complete,final,,"/* legumes secs */ -if B575=. then legume_sec=.; -else if B575=1 then legume_sec=0; -else if B575=2 then legume_sec=0.5; -else if B575=3 then legume_sec=2; -else if B575=4 then legume_sec=8; -else if B575=5 then legume_sec=20; -else if B575=6 then legume_sec=30; -else if B575=7 then legume_sec=60; -pulses_psc=legume_sec/30;", -PELAGIE,pelagie_q12,FA_Q3_1,,,LifeCycle_CDM,core,famsize_adult14,partial,final,"Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults","/* _12 to _14 depending on child age at the 12yo-follow-up */ -famsize_adult12=FA_Q3_1;","Partial harmonization because in the 12yo questionnaire, young adults (between 18 and 21yo) are considered as children, not adults" -PELAGIE,harmonized,ARMCIRCMES_0,,,LifeCycle_CDM,outcome,armcircmes_150,complete,final,,armcircmes_150=0;, -PELAGIE,pelagie_q0,"V123,V124",,,LifeCycle_CDM,core,veg_pgn,partial,final,Partial harmonization because it includes potatoes,"/* Legumes cuits et soupes */ -if v123=. then legumes_cuits=.; -else if v123=0 then legumes_cuits=0.5; -else if v123=1 then legumes_cuits=3; -else if v123=2 then legumes_cuits=10; -else if v123=3 then legumes_cuits=20; -else if v123=4 then legumes_cuits=30; -/* Crudités et salades */ -if v124=. then crudite_salade=.; -else if v124=0 then crudite_salade=0.5; -else if v124=1 then crudite_salade=3; -else if v124=2 then crudite_salade=10; -else if v124=3 then crudite_salade=20; -else if v124=4 then crudite_salade=30; -veg_pgn=sum(legumes_cuits,crudite_salade)/30;",Partial harmonization because it includes potatoes -PELAGIE,pelagie_q2,AGE_Q2ANS,,,LifeCycle_CDM,core,outdoorpage_psc,complete,final,,outdoorpage_psc=age_q2ans/12;, -PELAGIE,pelagie_q0,"V111,V112,V113,V114",,,LifeCycle_CDM,core,dairy_pgn,complete,final,,"/* fromage mou */ -if v111=. then fromage_mou=.; -else if v111=0 then fromage_mou=0.5; -else if v111=1 then fromage_mou=3; -else if v111=2 then fromage_mou=10; -else if v111=3 then fromage_mou=20; -else if v111=4 then fromage_mou=30; -/* fromage pressé */ -if v112=. then fromage_dur=.; -else if v112=0 then fromage_dur=0.5; -else if v112=1 then fromage_dur=3; -else if v112=2 then fromage_dur=10; -else if v112=3 then fromage_dur=20; -else if v112=4 then fromage_dur=30; -/* Produits laitiers écrémés et demi-écrémés */ -if v113=. then pdt_lait_ecrem=.; -else if v113=0 then pdt_lait_ecrem=0.5; -else if v113=1 then pdt_lait_ecrem=3; -else if v113=2 then pdt_lait_ecrem=10; -else if v113=3 then pdt_lait_ecrem=20; -else if v113=4 then pdt_lait_ecrem=30; -/* Produits laitiers entiers */ -if v114=. then pdt_lait_entier=.; -else if v114=0 then pdt_lait_entier=0.5; -else if v114=1 then pdt_lait_entier=3; -else if v114=2 then pdt_lait_entier=10; -else if v114=3 then pdt_lait_entier=20; -else if v114=4 then pdt_lait_entier=30; - -/* dairy_pgn = Milk and milk products during pregnancy ---> we included soft-cheese (v111) + hard-cheese (v112) + skimmed dairy products (v113) + fat dairy products (v114) */ -dairy_pgn=sum(fromage_mou,fromage_dur,pdt_lait_ecrem,pdt_lait_entier)/30;", -PELAGIE,pelagie_q2,B142,,,LifeCycle_CDM,outcome,asthma_0,complete,final,ISAAC questionnaire,"if b142=1 then asthma_0=1; -else if b142=0 then asthma_0=0;",ISAAC questionnaire -PELAGIE,pelagie_q2,B582,,,LifeCycle_CDM,core,nffish_psc,complete,final,,"/* poisson blanc*/ -if B582=. then poisson_blanc=.; -else if B582=1 then poisson_blanc=0; -else if B582=2 then poisson_blanc=0.5; -else if B582=3 then poisson_blanc=2; -else if B582=4 then poisson_blanc=8; -else if B582=5 then poisson_blanc=20; -else if B582=6 then poisson_blanc=30; -else if B582=7 then poisson_blanc=60; - -nffish_psc=poisson_blanc/30;", -PELAGIE,pelagie_q2,"B578,B579,B580",,,LifeCycle_CDM,core,meat_psc,complete,final,,"/* volaille ou jambon */ -if B578=. then volaille=.; -else if B578=1 then volaille=0; -else if B578=2 then volaille=0.5; -else if B578=3 then volaille=2; -else if B578=4 then volaille=8; -else if B578=5 then volaille=20; -else if B578=6 then volaille=30; -else if B578=7 then volaille=60; - /* viande*/ -if B579=. then viande=.; -else if B579=1 then viande=0; -else if B579=2 then viande=0.5; -else if B579=3 then viande=2; -else if B579=4 then viande=8; -else if B579=5 then viande=20; -else if B579=6 then viande=30; -else if B579=7 then viande=60; - /* charcuterie*/ -if B580=. then charcut=.; -else if B580=1 then charcut=0; -else if B580=2 then charcut=0.5; -else if B580=3 then charcut=2; -else if B580=4 then charcut=8; -else if B580=5 then charcut=20; -else if B580=6 then charcut=30; -else if B580=7 then charcut=60; -meat_psc=sum(volaille,viande,charcut)/30;", -PELAGIE,pelagie_q0,V113,,,LifeCycle_CDM,core,lfdairy_pgn,complete,final,,"/* Produits laitiers écrémés et demi-écrémés */ -if v113=. then pdt_lait_ecrem=.; -else if v113=0 then pdt_lait_ecrem=0.5; -else if v113=1 then pdt_lait_ecrem=3; -else if v113=2 then pdt_lait_ecrem=10; -else if v113=3 then pdt_lait_ecrem=20; -else if v113=4 then pdt_lait_ecrem=30; -/* lfdairy_pgn = Low fat dairy during pregnancy ---> we included low fat dairy (v113) */ -lfdairy_pgn=pdt_lait_ecrem/30;", -AP,AP,,,,OOM_CDM,VISIT_OCCURRENCE,specialty_of_visit_vocabulary,complete,,Leave empty,, -PELAGIE,pelagie_q2,"B576,B577",,,LifeCycle_CDM,core,veg_psc,complete,final,,"/* legumes cuits */ -if B576=. then legume_cuit=.; -else if B576=1 then legume_cuit=0; -else if B576=2 then legume_cuit=0.5; -else if B576=3 then legume_cuit=2; -else if B576=4 then legume_cuit=8; -else if B576=5 then legume_cuit=20; -else if B576=6 then legume_cuit=30; -else if B576=7 then legume_cuit=60; - /* crudités, salades */ -if B577=. then crudite=.; -else if B577=1 then crudite=0; -else if B577=2 then crudite=0.5; -else if B577=3 then crudite=2; -else if B577=4 then crudite=8; -else if B577=5 then crudite=20; -else if B577=6 then crudite=30; -else if B577=7 then crudite=60; -veg_psc=sum(legume_cuit,crudite)/30;", -PELAGIE,pelagie_q0,"V118,V119,V120,V121",,,LifeCycle_CDM,core,fish_pgn,complete,final,,"/* Poissons de mer */ -if v118=. then poissons=.; -else if v118=0 then poissons=0.5; -else if v118=1 then poissons=3; -else if v118=2 then poissons=10; -else if v118=3 then poissons=20; -else if v118=4 then poissons=30; -/* Coquillages */ -if v119=. then coquillages=.; -else if v119=0 then coquillages=0.5; -else if v119=1 then coquillages=3; -else if v119=2 then coquillages=10; -else if v119=3 then coquillages=20; -else if v119=4 then coquillages=30; -/* Gros crustacés */ -if v120=. then gros_crustac=.; -else if v120=0 then gros_crustac=0.5; -else if v120=1 then gros_crustac=3; -else if v120=2 then gros_crustac=10; -else if v120=3 then gros_crustac=20; -else if v120=4 then gros_crustac=30; -/* Petits crustacés */ -if v121=. then petit_crustac=.; -else if v121=0 then petit_crustac=0.5; -else if v121=1 then petit_crustac=3; -else if v121=2 then petit_crustac=10; -else if v121=3 then petit_crustac=20; -else if v121=4 then petit_crustac=30; - -/* fish_pgn = Fish and fish products during pregnancy ---> we included fish (v118), seashells (v119), small crustaceans (v120), big crustaceans (v121) */ -fish_pgn=sum(poissons, coquillages, gros_crustac,petit_crustac)/30;", -PELAGIE,pelagie_q0,"V116,V117",,,LifeCycle_CDM,core,meat_pgn,complete,final,,"/* Viande et charcuterie */ -if v116=. then viande_charcut=.; -else if v116=0 then viande_charcut=0.5; -else if v116=1 then viande_charcut=3; -else if v116=2 then viande_charcut=10; -else if v116=3 then viande_charcut=20; -else if v116=4 then viande_charcut=30; -/* Abats */ -if v117=. then abats=.; -else if v117=0 then abats=0.5; -else if v117=1 then abats=3; -else if v117=2 then abats=10; -else if v117=3 then abats=20; -else if v117=4 then abats=30; - -/* meat_pgn = Meat and meat products during pregnancy ---> we included meat and processed meat (v116) + offals (v117) */ -meat_pgn=sum(viande_charcut,abats)/30;", -PELAGIE,pelagie_q0,V125,,,LifeCycle_CDM,core,pulses_pgn,partial,final,Partial harmonization because it includes legumes only (no nuts),"/* Legumes sec et legumineuse */ -if v125=. then legumineuse=.; -else if v125=0 then legumineuse=0.5; -else if v125=1 then legumineuse=3; -else if v125=2 then legumineuse=10; -else if v125=3 then legumineuse=20; -else if v125=4 then legumineuse=30; - -/* pulses_pgn = Legumes, nuts and their products during pregnancy ---> we included legumes only (v125) */ -pulses_pgn=legumineuse/30;",Partial harmonization because it includes legumes only (no nuts) -PELAGIE,pelagie_q0,V115,,,LifeCycle_CDM,core,egg_pgn,complete,final,,"/* Oeufs */ -if v115=. then oeufs=.; -else if v115=0 then oeufs=0.5; -else if v115=1 then oeufs=3; -else if v115=2 then oeufs=10; -else if v115=3 then oeufs=20; -else if v115=4 then oeufs=30; - -/* egg_pgn = Egg and egg products during pregnancy ---> we included egg (v115) */ -egg_pgn=oeufs/30;", -PELAGIE,pelagie_q0,SGINCLUSIONF,,,LifeCycle_CDM,core,dietga_pgn,complete,final,,dietga_pgn=SGinclusionF;, -PELAGIE,pelagie_q2,"B584,B585",,,LifeCycle_CDM,core,fruit_psc,complete,final,,"/* fruits */ -if B584=. then fruits=.; -else if B584=1 then fruits=0; -else if B584=2 then fruits=0.5; -else if B584=3 then fruits=2; -else if B584=4 then fruits=8; -else if B584=5 then fruits=20; -else if B584=6 then fruits=30; -else if B584=7 then fruits=60; - /* compote */ -if B585=. then compote=.; -else if B585=1 then compote=0; -else if B585=2 then compote=0.5; -else if B585=3 then compote=2; -else if B585=4 then compote=8; -else if B585=5 then compote=20; -else if B585=6 then compote=30; -else if B585=7 then compote=60; -fruit_psc=sum(fruits,compote)/30;", -PELAGIE,harmonized,"WHE_0,WHE_1",,,LifeCycle_CDM,outcome,whe_ever2,complete,final,ISAAC questionnaire,"if whe_0=1 or whe_1=1 then whe_ever2=1; -else if whe_0=0 and whe_1=0 then whe_ever2=0; -else if whe_0=. or whe_1=. then whe_ever2=.;",ISAAC questionnaire -PELAGIE,pelagie_q2,"B559,B568,B569,B570",,,LifeCycle_CDM,core,dairy_psc,complete,final,,"/* lait */ -if B559=. then lait=.; -else if B559=0 then lait=0; -else if B559=1 then lait=30; -else if B559=2 then lait=45; -else if B559=3 then lait=75; -else if B559=4 then lait=105; - /* laitages */ -if B568=. then laitage=.; -else if B568=1 then laitage=0; -else if B568=2 then laitage=0.5; -else if B568=3 then laitage=2; -else if B568=4 then laitage=8; -else if B568=5 then laitage=20; -else if B568=6 then laitage=30; -else if B568=7 then laitage=60; - /* desserts lactés */ -if B569=. then dessert_lact=.; -else if B569=1 then dessert_lact=0; -else if B569=2 then dessert_lact=0.5; -else if B569=3 then dessert_lact=2; -else if B569=4 then dessert_lact=8; -else if B569=5 then dessert_lact=20; -else if B569=6 then dessert_lact=30; -else if B569=7 then dessert_lact=60; - /* fromage */ -if B570=. then fromage=.; -else if B570=1 then fromage=0; -else if B570=2 then fromage=0.5; -else if B570=3 then fromage=2; -else if B570=4 then fromage=8; -else if B570=5 then fromage=20; -else if B570=6 then fromage=30; -else if B570=7 then fromage=60; -dairy_psc=sum(lait,laitage,dessert_lact,fromage)/30;", -PELAGIE,pelagie_q2,"B581,B582",,,LifeCycle_CDM,core,fish_psc,complete,final,,"/* poisson gras*/ -if B581=. then poisson_gras=.; -else if B581=1 then poisson_gras=0; -else if B581=2 then poisson_gras=0.5; -else if B581=3 then poisson_gras=2; -else if B581=4 then poisson_gras=8; -else if B581=5 then poisson_gras=20; -else if B581=6 then poisson_gras=30; -else if B581=7 then poisson_gras=60; - /* poisson blanc*/ -if B582=. then poisson_blanc=.; -else if B582=1 then poisson_blanc=0; -else if B582=2 then poisson_blanc=0.5; -else if B582=3 then poisson_blanc=2; -else if B582=4 then poisson_blanc=8; -else if B582=5 then poisson_blanc=20; -else if B582=6 then poisson_blanc=30; -else if B582=7 then poisson_blanc=60; -fish_psc=sum(poisson_gras,poisson_blanc)/30;", -PELAGIE,pelagie_q2,B579,,,LifeCycle_CDM,core,redmeat_psc,complete,final,,"/* viande*/ -if B579=. then viande=.; -else if B579=1 then viande=0; -else if B579=2 then viande=0.5; -else if B579=3 then viande=2; -else if B579=4 then viande=8; -else if B579=5 then viande=20; -else if B579=6 then viande=30; -else if B579=7 then viande=60; - -redmeat_psc=viande/30;", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_bpa_lod_t2,complete,final,,BDD_phtalates_phenols$m_bpa_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.04, -PELAGIE,pelagie_q2,B583,,,LifeCycle_CDM,core,egg_psc,complete,final,,"/* oeufs */ -if B583=. then oeufs=.; -else if B583=1 then oeufs=0; -else if B583=2 then oeufs=0.5; -else if B583=3 then oeufs=2; -else if B583=4 then oeufs=8; -else if B583=5 then oeufs=20; -else if B583=6 then oeufs=30; -else if B583=7 then oeufs=60; -egg_psc=oeufs/30;", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_bps_lod_t2,complete,final,,BDD_phtalates_phenols$m_bps_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.10, -PELAGIE,pelagie_q6,"QS6_C37,QS6_C37_CHEZ_LEQUEL,QS6_C37_LAQUELLE",,,LifeCycle_CDM,outcome,allergy_any_m,partial,final,"partial - collected at 6yo, may cover the postnatal period","if allergy_inh_m=1 or allergy_food_m=1 then allergy_any_m=1; -else if allergy_inh_m=0 and allergy_food_m=0 then allergy_any_m=0;","partial - collected at 6yo, may cover the postnatal period" -PELAGIE,pelagie_q2,B580,,,LifeCycle_CDM,core,procmeat_psc,partial,final,Partial harmonization because ham is not included,"/* charcuterie*/ -if B580=. then charcut=.; -else if B580=1 then charcut=0; -else if B580=2 then charcut=0.5; -else if B580=3 then charcut=2; -else if B580=4 then charcut=8; -else if B580=5 then charcut=20; -else if B580=6 then charcut=30; -else if B580=7 then charcut=60; - -procmeat_psc=charcut/30;",Partial harmonization because ham is not included -PELAGIE,pelagie_q2,"B586,B587,B588",,,LifeCycle_CDM,core,swebev_psc,partial,final,Partial harmonization because it includes light soda,"/* jus de fruits */ -if B586=. then jus_fruit=.; -else if B586=1 then jus_fruit=0; -else if B586=2 then jus_fruit=0.5; -else if B586=3 then jus_fruit=2; -else if B586=4 then jus_fruit=8; -else if B586=5 then jus_fruit=20; -else if B586=6 then jus_fruit=30; -else if B586=7 then jus_fruit=60; - /* sodas ordinaires et sirops */ -if B587=. then sodas=.; -else if B587=1 then sodas=0; -else if B587=2 then sodas=0.5; -else if B587=3 then sodas=2; -else if B587=4 then sodas=8; -else if B587=5 then sodas=20; -else if B587=6 then sodas=30; -else if B587=7 then sodas=60; - /* sodas light */ -if B588=. then sodas_ligth=.; -else if B588=1 then sodas_ligth=0; -else if B588=2 then sodas_ligth=0.5; -else if B588=3 then sodas_ligth=2; -else if B588=4 then sodas_ligth=8; -else if B588=5 then sodas_ligth=20; -else if B588=6 then sodas_ligth=30; -else if B588=7 then sodas_ligth=60; - -swebev_psc=sum(jus_fruit,sodas,sodas_ligth)/30;",Partial harmonization because it includes light soda -PELAGIE,pelagie_q6,QE6_D6_2,,,LifeCycle_CDM,core,egg_sch,complete,final,,"/* oeufs */ -if QE6_d6_2=. then oeufs=.; -else if QE6_d6_2=1 then oeufs=0.5; -else if QE6_d6_2=2 then oeufs=2; -else if QE6_d6_2=3 then oeufs=8; -else if QE6_d6_2=4 then oeufs=20; -else if QE6_d6_2=5 then oeufs=30; - -egg_sch=oeufs/30;", -PELAGIE,BDD_phtalates_phenols,"BPA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_bpa_raw_t2,complete,final,,BDD_phtalates_phenols$m_bpa_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$BPA, -PELAGIE,pelagie_q2,"B572,B573",,,LifeCycle_CDM,core,potat_psc,complete,final,,"/* pomme de terre, purée */ -if B572=. then patate=.; -else if B572=1 then patate=0; -else if B572=2 then patate=0.5; -else if B572=3 then patate=2; -else if B572=4 then patate=8; -else if B572=5 then patate=20; -else if B572=6 then patate=30; -else if B572=7 then patate=60; - /* frites, p-d-t sautées */ -if B573=. then frite=.; -else if B573=1 then frite=0; -else if B573=2 then frite=0.5; -else if B573=3 then frite=2; -else if B573=4 then frite=8; -else if B573=5 then frite=20; -else if B573=6 then frite=30; -else if B573=7 then frite=60; - -potat_psc=sum(patate,frite)/30;", -PELAGIE,pelagie_q2,B593,,,LifeCycle_CDM,core,sav_psc,complete,final,,"/* chips, biscuits apéritifs */ -if B593=. then chips=.; -else if B593=1 then chips=0; -else if B593=2 then chips=0.5; -else if B593=3 then chips=2; -else if B593=4 then chips=8; -else if B593=5 then chips=20; -else if B593=6 then chips=30; -else if B593=7 then chips=60; - -sav_psc=chips/30;", -AP,AP,,,,OOM_CDM,VISIT_OCCURRENCE,status_at_discharge,complete,,Leave empty,, -PELAGIE,pelagie_q2,B560,,,LifeCycle_CDM,core,skipbreakf_psc,partial,final,Partial harmonization : binary variable (yes/no) instead of times per day,"/* skip breakfast 0=no/1=yes : from question ""Does he have breakfast almost every day, even if limited to milk baby bottle? 0=no 1=yes"" */ -if b560=0 then skipbreakf_psc=1; -else if b560=1 then skipbreakf_psc=0;",Partial harmonization : binary variable (yes/no) instead of times per day -PELAGIE,harmonized,INT_EVAL_2,,,LifeCycle_CDM,outcome,int_eval_2,complete,final,,eval=2;, -PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle_CDM,outcome,asthma_8,complete,final,,"asthma_8bis=asthma_8; -if asthma_8bis=1 or (SRA_Q7_1=1 and SRA_Q7_2_A>=8 and SRA_Q7_2_A<9) then asthma_8=1; -else if asthma_8bis=0 or (SRA_Q7_1=0 and age_q12>=8) then asthma_8=0; -else asthma_8=.; -drop asthma_8bis;", -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_153,complete,final,,biomes_153=0;, -PELAGIE,pelagie_q2,"B458,B459",,,LifeCycle_CDM,core,famdinner_psc,partial,final,Partial harmonization : binary variable (yes/no) instead of times per day,"/* Family dinner or dinner with at least one adult : from question ""usually, with who your children is eaten ? 1-alone / 2-with someonelse but not the parents / 3-with at least one parent / 4=other, specified"" */ -if B458=1 or B458=2 then famdinner_psc=0; -else if B458=3 then famdinner_psc=1; -else if B458=4 & B459 in (""LES SOIRS SEUL MAIS LES WEEK END AVEC SES PARENTS"", ""MIDI AVEC ENFANTS QUE JE GARDE ET SOIR AVEC SA SOE"") then famdinner_psc=0; -else if B458=4 & B459 in (""SEULE OU AVEC LES PARENTS"", ""SEUL OU AVEC SA SOEUR OU TOUS EN FAMILLE"") then famdinner_psc=.; -else if B458=4 & B459="""" then famdinner_psc=.; -else if B458=4 then famdinner_psc=1; -else if B458=. & B459 in (""AVEC TOUTE LA FAMILLE"") then famdinner_psc=1;",Partial harmonization : binary variable (yes/no) instead of times per day -PELAGIE,pelagie_q2,B460,,,LifeCycle_CDM,core,tveat_psc,partial,final,Partial harmonization : binary variable (yes/no) instead of times per day,"/* Eating with the TV on : from question ""Is the TV on when the child is eaten? 1=Never; 2=Sometimes; 3=Often; 4=Always""*/ -tveat_psc=b460;",Partial harmonization : binary variable (yes/no) instead of times per day -PELAGIE,pelagie_q2,"B295,B296,B298,B299,B301,B302,B303",,,LifeCycle_CDM,core,sleept_psc,complete,final,,"/* Sommeil nuit : convertir format heure du couché et heure du réveil */ -b295b = strip(put(b295, $2.)); -b296b = strip(put(b296, $2.)); -b298b = strip(put(b298, $2.)); -b299b = strip(put(b299, $2.)); - -if b295b ne . and b296b=. then b296b=""00""; -if b296b=""0"" then b296b=""00""; -if b299b=""0"" then b299b=""00""; -if b298b ne . and b299b=. then b299b=""00""; -if b298b=""5"" then b298b=""05""; -if b298b=""6"" then b298b=""06""; -if b298b=""7"" then b298b=""07""; -if b298b=""8"" then b298b=""08""; -if b298b=""9"" then b298b=""09""; - -if b295b ne . then heure_couche=b295b!!"":""!!b296b; -if b298b ne . then heure_reveil=b298b!!"":""!!b299b; - -heure_couche_b=input(heure_couche, time.); -heure_reveil_b=input(heure_reveil, time.); - -sommeil_nuit = intck('minute', dhms(today()-1,0,0,heure_couche_b),dhms(today(),0,0,heure_reveil_b))/60; - -/* sieste */ -if b301=0 then do; - b302=0; - b303=0; -end; -if b302=. & b303=. then min_sieste=.; -else if b302=. then b302=0; -else if b303=. then b303=0; - -min_sieste=b302*60+b303; -heure_sieste=min_sieste/60; - -/* sommeil jour + nuit */ -if sommeil_nuit ne . then sleept_psc=sommeil_nuit+heure_sieste;", -PELAGIE,pelagie_q2,AGE_Q2ANS,,,LifeCycle_CDM,core,sleeptage_psc,complete,final,,"/* age enfant */ -sleeptage_psc=age_q2ans/12;", -PELAGIE,pelagie_q12,"SRA_Q1_1,SRA_Q1_3_A,SRA_Q1_4_A",,,LifeCycle_CDM,outcome,whe_8,partial,final,Partially harmonized because is based only on the age at the first and last episode of wheezing. No information about other episodes at this age.,"whe_8bis=whe_8; -if whe_8bis=1 or (SRA_Q1_1=1 and (SRA_Q1_3_A>=8 and SRA_Q1_3_A<9) or (SRA_Q1_4_A>=8 and SRA_Q1_4_A<9)) - then whe_8=1; -else if whe_8bis=0 or (SRA_Q1_1=0 and age_q12>=8) then whe_8=0; -else whe_8=.; -drop whe_8bis;",Partially harmonized because is based only on the age at the first and last episode of wheezing. No information about other episodes at this age. -PELAGIE,pelagie_q2,"B328,B329,B330,B331,B332,B333",,,LifeCycle_CDM,core,outdoorp_psc,complete,final,,"/****** PROMENADE ET JEUX DEHORS *******/ - -/* semaine */ -if b329 ne . & b328=. then b328=0; -if b328 ne . & b329=. then b329=0; -out_min_sem=b328*60+b329; -/* mercredi */ -if b331 ne . & b330=. then b330=0; -if b330 ne . & b331=. then b331=0; -out_min_mer=b330*60+b331; -/* weekend */ -if b333 ne . & b332=. then b332=0; -if b332 ne . & b333=. then b333=0; -out_min_wkn=b332*60+b333; - -out_min_sem=out_min_sem*4; /* x4 jours de semaine */ -out_min_wkn=out_min_wkn*2; /* x2 jours de weekend */ - -outdoorp_psc=sum(out_min_sem,out_min_mer,out_min_wkn);", -PELAGIE,harmonized,INT_EVAL_6,,,LifeCycle_CDM,outcome,int_eval_6,complete,final,,eval=2;, -PELAGIE,pelagie_q6,"QE6_D6_11,QE6_D6_12",,,LifeCycle_CDM,core,whgrains_sch,complete,final,,"/* cereales petit dejeuner */ -if QE6_d6_11=. then cereale_dej=.; -else if QE6_d6_11=1 then cereale_dej=0.5; -else if QE6_d6_11=2 then cereale_dej=2; -else if QE6_d6_11=3 then cereale_dej=8; -else if QE6_d6_11=4 then cereale_dej=20; -else if QE6_d6_11=5 then cereale_dej=30; -/* pain complet */ -if QE6_d6_12=. then pain_complet=.; -else if QE6_d6_12=1 then pain_complet=0.5; -else if QE6_d6_12=2 then pain_complet=2; -else if QE6_d6_12=3 then pain_complet=8; -else if QE6_d6_12=4 then pain_complet=20; -else if QE6_d6_12=5 then pain_complet=30; - -whgrains_sch=sum(cereale_dej,pain_complet)/30;", -PELAGIE,pelagie_q2,"B322,B323,B324,B325,B326,B327",,,LifeCycle_CDM,core,screenoth_psc,partial,final,"Partial harmonization because it includes watching TV (no possibility to distinguish TV, video games, computer,…)","/* semaine */ -if b323 ne . & b322=. then b322=0; -if b322 ne . & b323=. then b323=0; -tv_min_sem=b322*60+b323; -/* mercredi */ -if b325 ne . & b324=. then b324=0; -if b324 ne . & b325=. then b325=0; -tv_min_mer=b324*60+b325; -/* weekend */ -if b327 ne . & b326=. then b326=0; -if b326 ne . & b327=. then b327=0; -tv_min_wkn=b326*60+b327; - -tv_min_sem=tv_min_sem*4; /* x4 jours de semaine */ -tv_min_wkn=tv_min_wkn*2; /* x2 jours de weekend */ - -screenoth_psc=sum(tv_min_sem,tv_min_mer,tv_min_wkn);","Partial harmonization because it includes watching TV (no possibility to distinguish TV, video games, computer,…)" -PELAGIE,pelagie_q2,AGE_Q2ANS,,,LifeCycle_CDM,core,screenage_psc,complete,final,,screenage_psc=age_q2ans/12;, -PELAGIE,pelagie_q6,QE6_D6_1,,,LifeCycle_CDM,core,dairy_sch,complete,final,,"/* pdt laitiers */ -if QE6_d6_1=. then pdr_lait=.; -else if QE6_d6_1=1 then pdr_lait=0.5; -else if QE6_d6_1=2 then pdr_lait=2; -else if QE6_d6_1=3 then pdr_lait=8; -else if QE6_d6_1=4 then pdr_lait=20; -else if QE6_d6_1=5 then pdr_lait=30; - -dairy_sch=pdr_lait/30;", -PELAGIE,pelagie_q6,"QE6_D6_7,QE6_D6_8",,,LifeCycle_CDM,core,fish_sch,complete,final,,"/* poisson */ -if QE6_d6_7=. then poisson=.; -else if QE6_d6_7=1 then poisson=0.5; -else if QE6_d6_7=2 then poisson=2; -else if QE6_d6_7=3 then poisson=8; -else if QE6_d6_7=4 then poisson=20; -else if QE6_d6_7=5 then poisson=30; -/* fruits de mer */ -if QE6_d6_8=. then fruit_mer=.; -else if QE6_d6_8=1 then fruit_mer=0.5; -else if QE6_d6_8=2 then fruit_mer=2; -else if QE6_d6_8=3 then fruit_mer=8; -else if QE6_d6_8=4 then fruit_mer=20; -else if QE6_d6_8=5 then fruit_mer=30; - -fish_sch=sum(poisson,fruit_mer)/30;", -PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle_CDM,outcome,asthma_10,complete,final,,"if SRA_Q7_1=1 and SRA_Q7_2_A>=10 and SRA_Q7_2_A<11 then asthma_10=1; -else if SRA_Q7_1=0 and age_q12>=10 then asthma_10=0; -else asthma_10=.;", -PELAGIE,pelagie_q6,"QE6_D6_4,QE6_D6_5,QE6_D6_6",,,LifeCycle_CDM,core,meat_sch,complete,final,,"/* volaille */ -if QE6_d6_4=. then volaille=.; -else if QE6_d6_4=1 then volaille=0.5; -else if QE6_d6_4=2 then volaille=2; -else if QE6_d6_4=3 then volaille=8; -else if QE6_d6_4=4 then volaille=20; -else if QE6_d6_4=5 then volaille=30; -/* viande_rouge */ -if QE6_d6_5=. then viande_rouge=.; -else if QE6_d6_5=1 then viande_rouge=0.5; -else if QE6_d6_5=2 then viande_rouge=2; -else if QE6_d6_5=3 then viande_rouge=8; -else if QE6_d6_5=4 then viande_rouge=20; -else if QE6_d6_5=5 then viande_rouge=30; -/* autre_viande */ -if QE6_d6_6=. then autre_viande=.; -else if QE6_d6_6=1 then autre_viande=0.5; -else if QE6_d6_6=2 then autre_viande=2; -else if QE6_d6_6=3 then autre_viande=8; -else if QE6_d6_6=4 then autre_viande=20; -else if QE6_d6_6=5 then autre_viande=30; - -meat_sch=sum(volaille,viande_rouge,autre_viande)/30;", -PELAGIE,pelagie_q6,QE6_D6_15,,,LifeCycle_CDM,core,sugar_sch,complete,final,,"/* bonbons chocolats */ -if QE6_d6_15=. then bonbon=.; -else if QE6_d6_15=1 then bonbon=0.5; -else if QE6_d6_15=2 then bonbon=2; -else if QE6_d6_15=3 then bonbon=8; -else if QE6_d6_15=4 then bonbon=20; -else if QE6_d6_15=5 then bonbon=30; - -sugar_sch=bonbon/30;", -PELAGIE,pelagie_q6,"QE6_D6_17,QE6_D6_18",,,LifeCycle_CDM,core,swebev_sch,partial,final,Partial harmonization because it includes light soda,"/* sodas et sirop */ -if QE6_d6_17=. then sodas=.; -else if QE6_d6_17=1 then sodas=0.5; -else if QE6_d6_17=2 then sodas=2; -else if QE6_d6_17=3 then sodas=8; -else if QE6_d6_17=4 then sodas=20; -else if QE6_d6_17=5 then sodas=30; -/* sodas light*/ -if QE6_d6_18=. then sodas_light=.; -else if QE6_d6_18=1 then sodas_light=0.5; -else if QE6_d6_18=2 then sodas_light=2; -else if QE6_d6_18=3 then sodas_light=8; -else if QE6_d6_18=4 then sodas_light=20; -else if QE6_d6_18=5 then sodas_light=30; - -swebev_sch=sum(sodas,sodas_light)/30;",Partial harmonization because it includes light soda -PELAGIE,pelagie_q6,QE6_D6_16,,,LifeCycle_CDM,core,sav_sch,complete,final,,"/* chips, biscuits apéritifs */ -if QE6_d6_16=. then chips=.; -else if QE6_d6_16=1 then chips=0.5; -else if QE6_d6_16=2 then chips=2; -else if QE6_d6_16=3 then chips=8; -else if QE6_d6_16=4 then chips=20; -else if QE6_d6_16=5 then chips=30; - -sav_sch=chips/30;", -PELAGIE,pelagie_q6,AGE_ENFANT_QUEST,,,LifeCycle_CDM,core,dietage_sch,complete,final,,dietage_sch=age_enfant_quest, -PELAGIE,pelagie_q6,QE6_D3,,,LifeCycle_CDM,core,tveat_sch,partial,final,partially harmonised : categorical variable instaed of continuous (1=almost never / 2=sometimes / 3=oftern / 4=always),tveat_sch=QE6_D3+1;,partially harmonised : categorical variable instaed of continuous (1=almost never / 2=sometimes / 3=oftern / 4=always) -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_trcs_lod_t1,complete,final,,BDD_phtalates_phenols$m_trcs_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.04, -PELAGIE,BDD_phtalates_phenols,"BP_F,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_bpf_raw_t1,complete,final,,BDD_phtalates_phenols$m_bpf_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$BP_F, -PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle_CDM,outcome,asthma_14,complete,final,,"if SRA_Q7_1=1 and SRA_Q7_2_A>=14 and SRA_Q7_2_A<15 then asthma_14=1; -else if SRA_Q7_1=0 and age_q12>=14 then asthma_14=0; -else asthma_14=.;", -PELAGIE,pelagie_q6,"QS6_C37,QS6_C37_CHEZ_LEQUEL,QS6_C37_LAQUELLE",,,LifeCycle_CDM,outcome,allergy_inh_m,partial,final,"partial - collected at 6yo, may cover the postnatal period","if QS6_C37=0 or (QS6_C37=1 and QS6_C37_Chez_lequel=2) then do; allergy_inh_m=0; allergy_food_m=0; allergy_any_m=0; end; -else if QS6_C37=1 and QS6_C37_Chez_lequel in (1,3) then do; - if QS6_C37_Laquelle in (""LIST OF FREE TEXT THAT ARE INHALANT ALLERGIES"") then allergy_inh_m=1; - else if QS6_C37_Laquelle in (""LIST OF FREE TEXT THAT ARE NOT INFORMATIVE, ie, could be the mother or the father"") then allergy_inh_m=.; - else allergy_inh_m=0; -end;","partial - collected at 6yo, may cover the postnatal period" -PELAGIE,pelagie_q12,"SRA_Q7_1,SRA_Q7_2_A",,,LifeCycle_CDM,outcome,asthma_12,complete,final,,"if SRA_Q7_1=1 and SRA_Q7_2_A>=12 and SRA_Q7_2_A<13 then asthma_12=1; -else if SRA_Q7_1=0 and age_q12>=12 then asthma_12=0; -else asthma_12=.;", -PELAGIE,pelagie_q2,B143,,,LifeCycle_CDM,outcome,asthma_1,complete,final,ISAAC questionnaire,"if b143=1 then asthma_1=1; -else if b143=0 then asthma_1=0;",ISAAC questionnaire -PELAGIE,pelagie_q6,"QS6_C37,QS6_C37_CHEZ_LEQUEL,QS6_C37_LAQUELLE",,,LifeCycle_CDM,outcome,allergy_food_m,partial,final,"partial - collected at 6yo, may cover the postnatal period","if QS6_C37=0 or (QS6_C37=1 and QS6_C37_Chez_lequel=2) then do; allergy_inh_m=0; allergy_food_m=0; allergy_any_m=0; end; -else if QS6_C37=1 and QS6_C37_Chez_lequel in (1,3) then do; - if QS6_C37_Laquelle in (""LIST OF FREE TEXT THAT ARE FOOD ALLERGIES"") then allergy_food_m=1; - else if QS6_C37_Laquelle in (""LIST OF FREE TEXT THAT ARE NOT INFORMATIVE, ie, could be the mother or the father"") then allergy_food_m=.; - else allergy_food_m=0; -end;","partial - collected at 6yo, may cover the postnatal period" -PELAGIE,pelagie_q2,"B128,B129",,,LifeCycle_CDM,outcome,whe_0,complete,final,ISAAC questionnaire,"if B129=0 then crise_siff_inf1an=0; -else if B129=1 then crise_siff_inf1an=1; -else if B129=2 or B129=3 then crise_siff_inf1an=2; -else if B129=. and B128=. then crise_siff_inf1an=.; -else if B129=. and B128=1 then crise_siff_inf1an=.; -else if B129=. and B128=0 then crise_siff_inf1an=0; - -if crise_siff_inf1an=. then whe_0=.; -else if crise_siff_inf1an=0 then whe_0=0; -else if crise_siff_inf1an in (1,2) then whe_0=1;",ISAAC questionnaire -PELAGIE,pelagie_q2,"B128,B130",,,LifeCycle_CDM,outcome,whe_1,complete,final,ISAAC questionnaire,"if B130=0 then crise_siff_sup1an=0; -else if B130=1 then crise_siff_sup1an=1; -else if B130=2 or B130=3 then crise_siff_sup1an=2; -else if B130=. and B128=. then crise_siff_sup1an=.; -else if B130=. and B128=1 then crise_siff_sup1an=.; -else if B130=. and B128=0 then crise_siff_sup1an=0; - -if crise_siff_sup1an=. then whe_1=.; -else if crise_siff_sup1an=0 then whe_1=0; -else if crise_siff_sup1an in (1,2) then whe_1=1;",ISAAC questionnaire -PELAGIE,pelagie_q6,"QS6_C4,AGE_ENFANT_QUEST",,,LifeCycle_CDM,outcome,whe_5,complete,final,ISAAC questionnaire,if (5 le age_enfant_quest lt 6) then whe_5=QS6_C4;,ISAAC questionnaire -PELAGIE,pelagie_q6,"QS6_C4,AGE_ENFANT_QUEST",,,LifeCycle_CDM,outcome,whe_6,complete,final,ISAAC questionnaire,if (6 le age_enfant_quest lt 7) then whe_6=QS6_C4;,ISAAC questionnaire -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,ext_age_5,complete,final,,ext_age_5=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,pelagie_q6,"QS6_C4,AGE_ENFANT_QUEST","pelagie_q12,pelagie_q12,pelagie_q12","SRA_Q1_1,SRA_Q1_3_A,SRA_Q1_4_A",LifeCycle_CDM,outcome,whe_7,complete,final,ISAAC questionnaire. Updated with data from 12-year-old follow-up,"if (7 le age_enfant_quest lt 8) then whe_7=QS6_C4; - -UPDATE 12-year-old follow-up: -whe_7bis=whe_7; -if whe_7bis=1 or (SRA_Q1_1=1 and (SRA_Q1_3_A>=7 and SRA_Q1_3_A<8) or (SRA_Q1_4_A>=7 and SRA_Q1_4_A<8)) - then whe_7=1; -else if whe_7bis=0 or (SRA_Q1_1=0 and age_q12>=7) then whe_7=0; -else whe_7=.; -drop whe_7bis;",ISAAC questionnaire. Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q6,"QS6_C15_SI_OUI,AGE_ENFANT_QUEST",,,LifeCycle_CDM,outcome,asthma_5,partial,final,partial - collected at the 6yo follow-up but may have been diagnosed at any age before,if (5 le age_enfant_quest lt 6) then asthma_5=qs6_c15_si_oui;,partial - collected at the 6yo follow-up but may have been diagnosed at any age before -PELAGIE,pelagie_q12,"SRA_Q1_1,SRA_Q1_3_A,SRA_Q1_4_A",,,LifeCycle_CDM,outcome,whe_9,partial,final,Partially harmonized because is based only on the age at the first and last episode of wheezing. No information about other episodes at this age.,"whe_9bis=whe_9; -if whe_9bis=1 or (SRA_Q1_1=1 and (SRA_Q1_3_A>=9 and SRA_Q1_3_A<10) or (SRA_Q1_4_A>=9 and SRA_Q1_4_A<10)) - then whe_9=1; -else if whe_9bis=0 or (SRA_Q1_1=0 and age_q12>=9) then whe_9=0; -else whe_9=.; -drop whe_9bis;",Partially harmonized because is based only on the age at the first and last episode of wheezing. No information about other episodes at this age. -PELAGIE,pelagie_q12,"SRA_Q1_1,SRA_Q1_3_A,SRA_Q1_4_A",,,LifeCycle_CDM,outcome,whe_10,partial,final,Partially harmonized because is based only on the age at the first and last episode of wheezing. No information about other episodes at this age.,"whe_10bis=whe_10; -if whe_10bis=1 or (SRA_Q1_1=1 and (SRA_Q1_3_A>=10 and SRA_Q1_3_A<11) or (SRA_Q1_4_A>=10 and SRA_Q1_4_A<11)) - then whe_10=1; -else if whe_10bis=0 or (SRA_Q1_1=0 and age_q12>=10) then whe_10=0; -else whe_10=.; -drop whe_10bis;",Partially harmonized because is based only on the age at the first and last episode of wheezing. No information about other episodes at this age. -PELAGIE,pelagie_q12,"SRA_Q1_2,SRA_Q1_3_A,SRA_Q1_4_A,AGE_Q12",,,LifeCycle_CDM,outcome,whe_11,complete,final,,"if (SRA_Q1_1=1 and (SRA_Q1_3_A>=11 and SRA_Q1_3_A<12) or (SRA_Q1_4_A>=11 and SRA_Q1_4_A<12)) or (SRA_Q1_2=1 - and age_q12>=11 and age_q12<12) then whe_11=1; -else if (SRA_Q1_1=0 and age_q12>=11) or (SRA_Q1_2=0 and age_q12>=11 and age_q12<12) then whe_11=0; -else whe_11=.;", -PELAGIE,pelagie_q12,"SRA_Q1_2,SRA_Q1_3_A,SRA_Q1_4_A,AGE_Q12",,,LifeCycle_CDM,outcome,whe_13,complete,final,,"if (SRA_Q1_1=1 and (SRA_Q1_3_A>=13 and SRA_Q1_3_A<14) or (SRA_Q1_4_A>=13 and SRA_Q1_4_A<14)) or (SRA_Q1_2=1 - and age_q12>=13 and age_q12<14) then whe_13=1; -else if (SRA_Q1_1=0 and age_q12>=13) or (SRA_Q1_2=0 and age_q12>=13 and age_q12<14) then whe_13=0; -else whe_13=.;", -PELAGIE,pelagie_q12,"SRA_Q1_2,SRA_Q1_3_A,SRA_Q1_4_A,AGE_Q12",,,LifeCycle_CDM,outcome,whe_14,complete,final,,"if (SRA_Q1_1=1 and (SRA_Q1_3_A>=14 and SRA_Q1_3_A<15) or (SRA_Q1_4_A>=14 and SRA_Q1_4_A<15)) or (SRA_Q1_2=1 - and age_q12>=14 and age_q12<15) then whe_14=1; -else if (SRA_Q1_1=0 and age_q12>=14) or (SRA_Q1_2=0 and age_q12>=14 and age_q12<15) then whe_14=0; -else whe_14=.;", -PELAGIE,pelagie_q6,QS6_C5,,,ATHLETE_CDM,outcome_ath,n_wheezing_12m_6,complete,final,,"if (6 le age_enfant_quest lt 7) then do; -n_wheezing_12m_5=QS6_C5; -end;", -PELAGIE,harmonized,EXT_INSTR_6,,,LifeCycle_CDM,outcome,ext_instr_6,complete,final,,instr=47;, -PELAGIE,pelagie_q6,QS6_C3,"pelagie_q12,pelagie_q12,pelagie_q12","SRA_Q1_1,SRA_Q1_3_A,SRA_Q1_4_A",LifeCycle_CDM,outcome,whe_ever5_10,complete,final,ISAAC questionnaire. Updated with data from 12-year-old follow-up,"whe_ever5_10=QS6_C3; - -UPDATE 12-year-old follow-up: -whe_ever5_10bis=whe_ever5_10; -if whe_ever5_10bis=1 or (SRA_Q1_1=1 and (SRA_Q1_3_A>=5 and SRA_Q1_3_A<=10) or (SRA_Q1_4_A>=5 and SRA_Q1_4_A<=10)) - then whe_ever5_10=1; -else if whe_ever5_10bis=0 or (SRA_Q1_1=0 and age_q12>=10) then whe_ever5_10=0; -else whe_ever5_10=.; -drop whe_ever5_10bis;",ISAAC questionnaire. Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q6,"QS6_C15_SI_OUI,AGE_ENFANT_QUEST",,,LifeCycle_CDM,outcome,asthma_6,partial,final,partial - collected at the 6yo follow-up but may have been diagnosed at any age before,if (6 le age_enfant_quest lt 7) then asthma_6=qs6_c15_si_oui;,partial - collected at the 6yo follow-up but may have been diagnosed at any age before -PELAGIE,harmonized,AGGR_PRO_13,,,ATHLETE_CDM,outcome_ath,aggr_pc_13,complete,final,,"SDQ12$aggr_pc_13<-xtile(SDQ12$aggr_pro_13, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,harmonized,"ASTHMA_6,WHE_6,ASTHMA_MED_6",,,LifeCycle_CDM,outcome,asthma_current_MeDALL_6,complete,final,,"medall_6=sum(asthma_6,whe_6,asthma_med_6); - -if medall_6 in (2,3) then asthma_current_MeDALL_6=1; -else if medall_6=0 then asthma_current_MeDALL_6=0; -else if medall_6=1 and (asthma_6 ne . and whe_6 ne . and asthma_med_6 ne .) then asthma_current_MeDALL_6=0; -else asthma_current_MeDALL_6=.;", -PELAGIE,pelagie_q6,"QS6_C15_SI_OUI,AGE_ENFANT_QUEST","pelagie_q12,pelagie_q12","SRA_Q7_1,SRA_Q7_2_A",LifeCycle_CDM,outcome,asthma_7,complete,final,Updated with data from 12-year-old follow-up,"if (7 le age_enfant_quest lt 8) then asthma_7=qs6_c15_si_oui; - -UPDATE 12-year-old follow-up: -asthma_7bis=asthma_7; -if asthma_7bis=1 or (SRA_Q7_1=1 and SRA_Q7_2_A>=7 and SRA_Q7_2_A<8) then asthma_7=1; -else if asthma_7bis=0 or (SRA_Q7_1=0 and age_q12>=7) then asthma_7=0; -else asthma_7=.; -drop asthma_7bis;",Updated with data from 12-year-old follow-up -AP,AP,,,,OOM_CDM,VISIT_OCCURRENCE,status_at_discharge_vocabulary,complete,,Leave empty,, -PELAGIE,BDD_phtalates_phenols,"OXBE,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_oxbe_raw_t2,complete,final,,BDD_phtalates_phenols$m_oxbe_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$OXBE, -PELAGIE,pelagie_q2,"B142,B134",harmonized,WHE_0,LifeCycle_CDM,outcome,asthma_current_MeDALL_0,complete,final,ISAAC questionnaire,"medall_0=sum(B142,whe_0,B134); - -if medall_0 in (2,3) then asthma_current_MeDALL_0=1; -else if medall_0=0 then asthma_current_MeDALL_0=0; -else if medall_0=1 and (B142 ne . and whe_0 ne . and B134 ne .) then asthma_current_MeDALL_0=0; -else asthma_current_MeDALL_0=.;",ISAAC questionnaire -PELAGIE,pelagie_q2,"B143,B138",harmonized,WHE_1,LifeCycle_CDM,outcome,asthma_current_MeDALL_1,complete,final,ISAAC questionnaire,"medall_1=sum(B143,whe_1,B138); - -if medall_1 in (2,3) then asthma_current_MeDALL_1=1; -else if medall_1=0 then asthma_current_MeDALL_1=0; -else if medall_1=1 and (B143 ne . and whe_1 ne . and B138 ne .) then asthma_current_MeDALL_1=0; -else asthma_current_MeDALL_0=.;",ISAAC questionnaire -PELAGIE,harmonized,"ASTHMA_5,WHE_5,ASTHMA_MED_5",,,LifeCycle_CDM,outcome,asthma_current_MeDALL_5,complete,final,,"medall_5=sum(asthma_5,whe_5,asthma_med_5); - -if medall_5 in (2,3) then asthma_current_MeDALL_5=1; -else if medall_5=0 then asthma_current_MeDALL_5=0; -else if medall_5=1 and (asthma_5 ne . and whe_5 ne . and asthma_med_5 ne .) then asthma_current_MeDALL_5=0; -else asthma_current_MeDALL_5=.;", -PELAGIE,harmonized,"ASTHMA_7,WHE_7,ASTHMA_MED_7",,,LifeCycle_CDM,outcome,asthma_current_MeDALL_7,complete,final,,"medall_7=sum(asthma_7,whe_7,asthma_med_7); - -if medall_7 in (2,3) then asthma_current_MeDALL_7=1; -else if medall_7=0 then asthma_current_MeDALL_7=0; -else if medall_7=1 and (asthma_7 ne . and whe_7 ne . and asthma_med_7 ne .) then asthma_current_MeDALL_7=0; -else asthma_current_MeDALL_7=.;", -PELAGIE,pelagie_q2,"B142,B134",harmonized,WHE_0,LifeCycle_CDM,outcome,asthma_current_ISAAC_0,complete,final,,"if B142=1 and (whe_0=1 or B134=1) then asthma_current_ISAAC_0=1; -else if B142=1 and (whe_0=0 and B134=0) then asthma_current_ISAAC_0=0; -else if B142=0 then asthma_current_ISAAC_0=0;", -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,ext_age_6,complete,final,,ext_age_6=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_oxbe_lod_t1,complete,final,,BDD_phtalates_phenols$m_oxbe_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.04, -PELAGIE,pelagie_q2,"B143,B138",harmonized,WHE_1,LifeCycle_CDM,outcome,asthma_current_ISAAC_1,complete,final,,"if B143=1 and (whe_1=1 or B138=1) then asthma_current_ISAAC_1=1; -else if B143=1 and (whe_1=0 and B138=0) then asthma_current_ISAAC_1=0; -else if B143=0 then asthma_current_ISAAC_1=0;", -PELAGIE,harmonized,"ASTHMA_5,WHE_5,ASTHMA_MED_5",,,LifeCycle_CDM,outcome,asthma_current_ISAAC_5,complete,final,,"if asthma_5=1 and (whe_5=1 or asthma_med_5=1) then asthma_current_ISAAC_5=1; -else if asthma_5=1 and (whe_5=0 and asthma_med_5=0) then asthma_current_ISAAC_5=0; -else if asthma_5=0 then asthma_current_ISAAC_5=0;", -PELAGIE,harmonized,INT_EVAL_3,,,LifeCycle_CDM,outcome,int_eval_3,complete,final,,eval=2;, -PELAGIE,harmonized,"ASTHMA_6,WHE_6,ASTHMA_MED_6",,,LifeCycle_CDM,outcome,asthma_current_ISAAC_6,complete,final,,"if asthma_6=1 and (whe_6=1 or asthma_med_6=1) then asthma_current_ISAAC_6=1; -else if asthma_6=1 and (whe_6=0 and asthma_med_6=0) then asthma_current_ISAAC_6=0; -else if asthma_6=0 then asthma_current_ISAAC_6=0;", -PELAGIE,harmonized,"ASTHMA_7,WHE_7,ASTHMA_MED_7",,,LifeCycle_CDM,outcome,asthma_current_ISAAC_7,complete,final,,"if asthma_7=1 and (whe_7=1 or asthma_med_7=1) then asthma_current_ISAAC_7=1; -else if asthma_7=1 and (whe_7=0 and asthma_med_7=0) then asthma_current_ISAAC_7=0; -else if asthma_7=0 then asthma_current_ISAAC_7=0;", -PELAGIE,pelagie_q2,B134,,,LifeCycle_CDM,outcome,asthma_med_0,complete,final,,asthma_med_0=B134;, -PELAGIE,pelagie_q2,B138,,,LifeCycle_CDM,outcome,asthma_med_1,complete,final,,asthma_med_1=B138;, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_167,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,B121,,,LifeCycle_CDM,outcome,LRTI_1,partial,final,partially harmonized because concerns lower respiratory tract infection from birth to 2yo; Included bronchiolitis and bronchitis,LRTI_1=B121;,partially harmonized because concerns lower respiratory tract infection from birth to 2yo; Included bronchiolitis and bronchitis -PELAGIE,pelagie_q6,"QS6_F3,QS6_F3_FREQUENCE_1,QS6_F3_FREQUENCE_2,QS6_F3_FREQUENCE_3,QS6_F3_FREQUENCE_4,AGE_ENFANT_QUEST",,,LifeCycle_CDM,outcome,asthma_med_5,complete,final,,"if (5 le age_enfant_quest lt 6) then do; -if qs6_f3_frequence_1=0 and qs6_f3_frequence_2=0 and qs6_f3_frequence_3=0 and qs6_f3_frequence_4=0 then asthma_med_5=0; -else if qs6_f3_frequence_1 >0 or qs6_f3_frequence_2 >0 or qs6_f3_frequence_3 >0 or qs6_f3_frequence_4 >0 then asthma_med_5=1; -end;", -PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_2,AGE_Q12,SRA_Q11_4_A",,,LifeCycle_CDM,outcome,rash_loc_11,complete,final,,"if SRA_Q11_3=1 and ((SRA_Q11_4_A>=11 and SRA_Q11_4_A<12) or (SRA_Q11_2=1 and age_q12>=11 and age_q12<12)) - then rash_loc_11=1; -else if rash_11=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=11) then rash_loc_11=0; -else rash_loc_11=.;", -PELAGIE,harmonized,WM_INSTR_6,,,LifeCycle_CDM,outcome,wm_instr_6,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,wm_instr_6=59;,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory -PELAGIE,pelagie_q6,"QS6_F3,QS6_F3_FREQUENCE_1,QS6_F3_FREQUENCE_2,QS6_F3_FREQUENCE_3,QS6_F3_FREQUENCE_4,AGE_ENFANT_QUEST",,,LifeCycle_CDM,outcome,asthma_med_6,complete,final,,"if (6 le age_enfant_quest lt 7) then do; -if qs6_f3_frequence_1=0 and qs6_f3_frequence_2=0 and qs6_f3_frequence_3=0 and qs6_f3_frequence_4=0 then asthma_med_6=0; -else if qs6_f3_frequence_1 >0 or qs6_f3_frequence_2 >0 or qs6_f3_frequence_3 >0 or qs6_f3_frequence_4 >0 then asthma_med_6=1; -end;", -PELAGIE,pelagie_q6,QS6_C5,,,ATHLETE_CDM,outcome_ath,n_wheezing_12m_7,complete,final,,"if (7 le age_enfant_quest lt 8) then do; -n_wheezing_12m_7=QS6_C5; -end;", -PELAGIE,pelagie_q6,"QS6_F3,QS6_F3_FREQUENCE_1,QS6_F3_FREQUENCE_2,QS6_F3_FREQUENCE_3,QS6_F3_FREQUENCE_4,AGE_ENFANT_QUEST",,,LifeCycle_CDM,outcome,asthma_med_7,complete,final,,"if (7 le age_enfant_quest lt 8) then do; -if qs6_f3_frequence_1=0 and qs6_f3_frequence_2=0 and qs6_f3_frequence_3=0 and qs6_f3_frequence_4=0 then asthma_med_7=0; -else if qs6_f3_frequence_1 >0 or qs6_f3_frequence_2 >0 or qs6_f3_frequence_3 >0 or qs6_f3_frequence_4 >0 then asthma_med_7=1; -end;", -PELAGIE,pelagie_q6,"QS6_C1_NB_OTITE_V2,QS6_C1_NB_ANGINE_V2,QS6_C1_NB_LARYNGITE_V2",,,LifeCycle_CDM,outcome,URTI_0,complete,final,"data collected at the 6-years-old follow-up; Include ear infection, throat infections and laryngitis","if sum(QS6_C1_Nb_Otite_V2,QS6_C1_Nb_Angine_V2,QS6_C1_Nb_Laryngite_V2)=. then URTI_0=.; -else if sum(QS6_C1_Nb_Otite_V2,QS6_C1_Nb_Angine_V2,QS6_C1_Nb_Laryngite_V2)=0 then URTI_0=0; -else if sum(QS6_C1_Nb_Otite_V2,QS6_C1_Nb_Angine_V2,QS6_C1_Nb_Laryngite_V2) > 0 then URTI_0=1;","data collected at the 6-years-old follow-up; Include ear infection, throat infections and laryngitis" -PELAGIE,pelagie_q2,B117,,,LifeCycle_CDM,outcome,URTI_1,partial,final,partially harmonized because concerns upper respiratory tract infection from birth to 2yo; Included ear infection only,URTI_1=B117;,partially harmonized because concerns upper respiratory tract infection from birth to 2yo; Included ear infection only -PELAGIE,harmonized,C_DEDTP_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_dedtp_lod_6,complete,final,,"BDD_OP$c_dedtp_lod_6<-ifelse(!is.na(BDD_OP$c_dedtp_raw_6y),0.005,NA)", -PELAGIE,pelagie_q6,"QS6_C1_NB_BRONCHITE_V2,QS6_C1_NB_PNEUMOPATHIE_V2",,,LifeCycle_CDM,outcome,LRTI_0,complete,final,"data collected at the 6-years-old follow-up; Include bronchiolite, bronchite, pneumonie, infection pulmonaire","if sum(QS6_C1_Nb_Bronchite_V2,QS6_C1_Nb_Pneumopathie_V2)=. then LRTI_0=.; -else if sum(QS6_C1_Nb_Bronchite_V2,QS6_C1_Nb_Pneumopathie_V2)=0 then LRTI_0=0; -else if sum(QS6_C1_Nb_Bronchite_V2,QS6_C1_Nb_Pneumopathie_V2) > 0 then LRTI_0=1;","data collected at the 6-years-old follow-up; Include bronchiolite, bronchite, pneumonie, infection pulmonaire" -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,ext_age_7,complete,final,,ext_age_7=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,harmonized,WM_EVAL_5,,,LifeCycle_CDM,outcome,wm_eval_5,complete,final,,wm_eval_5=3;, -PELAGIE,harmonized,WM_EVAL_6,,,LifeCycle_CDM,outcome,wm_eval_6,complete,final,,wm_eval_6=3;, -PELAGIE,pelagie_q2,"B153,B154,B162,B164",,,LifeCycle_CDM,outcome,food_all_0,complete,final,,"/* food allergy */ -if allerg_alimentr2=0 then do; food_all_0=0; food_all_1=0; end; -else if allerg_alimentr2=1 and (b154=1 or .12) then do; food_all_0=0; food_all_1=1; end; -else if allerg_alimentr2=1 and (b153=0 and b162=0) then do; food_all_0=0; food_all_1=0; end; -else if allerg_alimentr2=. and (b153=0 and b162=0) then do; food_all_0=0; food_all_1=0; end; -else if b153=1 and b154=0 and b155=. then do; food_all_0=0; food_all_1=1; end;", -PELAGIE,pelagie_q2,"B153,B155,B162,B164",,,LifeCycle_CDM,outcome,food_all_1,complete,final,,"/* food allergy */ -if allerg_alimentr2=0 then do; food_all_0=0; food_all_1=0; end; -else if allerg_alimentr2=1 and (b154=1 or .12) then do; food_all_0=0; food_all_1=1; end; -else if allerg_alimentr2=1 and (b153=0 and b162=0) then do; food_all_0=0; food_all_1=0; end; -else if allerg_alimentr2=. and (b153=0 and b162=0) then do; food_all_0=0; food_all_1=0; end; -else if b153=1 and b154=0 and b155=. then do; food_all_0=0; food_all_1=1; end;", -PELAGIE,pelagie_q6,"QS6_C33,AGE_ENFANT_QUEST",,,LifeCycle_CDM,outcome,food_all_5,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,if (5 le age_enfant_quest lt 6) then food_all_5=qs6_C33;,data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,aggr_age_14,complete,final,,aggr_age_14=(DATE-ddn_2021)/365.2422;, -PELAGIE,pelagie_q6,"QS6_C33,AGE_ENFANT_QUEST",,,LifeCycle_CDM,outcome,food_all_6,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,if (6 le age_enfant_quest lt 7) then food_all_6=qs6_C33;,data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle_CDM,outcome,food_all_13,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","if SRA_Q13_1=1 and SRA_Q13_A>=13 and SRA_Q13_A<14 then food_all_13=1; -else if SRA_Q13_1=0 and age_q12>=13 then food_all_13=0; -else food_all_13=.;","No information about different episodes, only regarding the age of child when medical diagnosis was established" -PELAGIE,pelagie_q6,"QS6_C33,AGE_ENFANT_QUEST","pelagie_q12,pelagie_q12","SRA_Q13_1,SRA_Q13_A",LifeCycle_CDM,outcome,food_all_7,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth. Updated with data from 12-year-old follow-up,"if (7 le age_enfant_quest lt 8) then food_all_7=qs6_C33; - -UPDATE 12-year-old follow-up: -food_all_7bis=food_all_7; -if food_all_7bis=1 or (SRA_Q13_1=1 and SRA_Q13_A>=7 and SRA_Q13_A<8) then food_all_7=1; -else if food_all_7bis=0 or (SRA_Q13_1=0 and age_q12>=7) then food_all_7=0; -else food_all_7=.; -drop food_all_7bis;",data collected at the 6-year-old follow-up and concerns food allergy since birth. Updated with data from 12-year-old follow-up -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_bpf_lod_t2,complete,final,,BDD_phtalates_phenols$m_bpf_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20, -PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle_CDM,outcome,food_all_8,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","food_all_8bis=food_all_8; -if food_all_8bis=1 or (SRA_Q13_1=1 and SRA_Q13_A>=8 and SRA_Q13_A<9) then food_all_8=1; -else if food_all_8bis=0 or (SRA_Q13_1=0 and age_q12>=8) then food_all_8=0; -else food_all_8=.; -drop food_all_8bis;","No information about different episodes, only regarding the age of child when medical diagnosis was established" -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,int_age_11,complete,final,,int_age_11=(DATE-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle_CDM,outcome,food_all_9,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","if SRA_Q13_1=1 and SRA_Q13_A>=9 and SRA_Q13_A<10 then food_all_9=1; -else if SRA_Q13_1=0 and age_q12>=9 then food_all_9=0; -else food_all_9=.;","No information about different episodes, only regarding the age of child when medical diagnosis was established" -PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle_CDM,outcome,food_all_10,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","if SRA_Q13_1=1 and SRA_Q13_A>=10 and SRA_Q13_A<11 then food_all_10=1; -else if SRA_Q13_1=0 and age_q12>=10 then food_all_10=0; -else food_all_10=.;","No information about different episodes, only regarding the age of child when medical diagnosis was established" -PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle_CDM,outcome,food_all_11,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","if SRA_Q13_1=1 and SRA_Q13_A>=11 and SRA_Q13_A<12 then food_all_11=1; -else if SRA_Q13_1=0 and age_q12>=11 then food_all_11=0; -else food_all_11=.;","No information about different episodes, only regarding the age of child when medical diagnosis was established" -PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle_CDM,outcome,food_all_12,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","if SRA_Q13_1=1 and SRA_Q13_A>=12 and SRA_Q13_A<13 then food_all_12=1; -else if SRA_Q13_1=0 and age_q12>=12 then food_all_12=0; -else food_all_12=.;","No information about different episodes, only regarding the age of child when medical diagnosis was established" -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle_CDM,outcome,inh_all_8,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=8 and SRA_Q10_2_A<9 then inh_all_8=1; -else if SRA_Q10_2=0 and SRA_Q10_2_A>=8 and SRA_Q10_2_A<9 then inh_all_8=0; -else inh_all_8=.;",No information about all the episodes of inhalant allergy -PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_2,AGE_Q12,SRA_Q11_4_A",,,LifeCycle_CDM,outcome,rash_loc_12,complete,final,,"if SRA_Q11_3=1 and ((SRA_Q11_4_A>=12 and SRA_Q11_4_A<13) or (SRA_Q11_2=1 and age_q12>=12 and age_q12<13)) - then rash_loc_12=1; -else if rash_12=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=12) then rash_loc_12=0; -else rash_loc_12=.;", -PELAGIE,BDD_phtalates_phenols,"MEPA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mepa_raw_t1,complete,final,,BDD_phtalates_phenols$m_mepa_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MEPA, -PELAGIE,pelagie_q12,"SRA_Q13_1,SRA_Q13_A",,,LifeCycle_CDM,outcome,food_all_14,partial,final,"No information about different episodes, only regarding the age of child when medical diagnosis was established","if SRA_Q13_1=1 and SRA_Q13_A>=14 and SRA_Q13_A<15 then food_all_14=1; -else if SRA_Q13_1=0 and age_q12>=14 then food_all_14=0; -else food_all_14=.;","No information about different episodes, only regarding the age of child when medical diagnosis was established" -PELAGIE,pelagie_q2,"B153,B162","pelagie_q6,pelagie_q12","QS6_C33,SRA_Q13_1",LifeCycle_CDM,outcome,food_all_ever,complete,final,Updated with data from 12-year-old follow-up,"if b153=1 or b162=1 then food_all_ever_q2=1; -else if b153=0 and b162=0 then food_all_ever_q2=0; -food_all_ever_q6=qs6_C33; - -if food_all_ever_q2=1 or food_all_ever_q6=1 then food_all_ever=1; -else if food_all_ever_q2=0 and food_all_ever_q6=0 then food_all_ever=0; -else if food_all_ever_q2=. and food_all_ever_q6=1 then food_all_ever=1; -else if food_all_ever_q2=. and food_all_ever_q6=0 then food_all_ever=0; - -UPDATE 12-year-old follow-up: -food_all_ever_bis=food_all_ever; -if SRA_Q13_1=1 or food_all_ever_bis=1 then food_all_ever=1; -else if SRA_Q13_1=0 and (food_all_ever_bis=0 or food_all_ever_bis=.) then food_all_ever=0; -else food_all_ever=.; -drop food_all_ever_bis;",Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q6,"QS6_C23,QS6_C24",pelagie_q12,SRA_Q10_2,LifeCycle_CDM,outcome,inh_all_ever,partial,final,"Partially harmonized because not specify if doctor diagnosed or not; data collected at 6yo and 12yo concerns hay fever or allergy to cats, dust,… from birth. Based on the age when the allergy first appeared, not specific information about episodes at this age.","if qs6_c23=1 or qs6_c24=1 then inh_all_ever=1; -else if qs6_c23=0 and qs6_c24=0 then inh_all_ever=0; - -UPDATE 12-year-old follow-up: -inh_all_ever_bis=inh_all_ever; -if SRA_Q10_2=1 or inh_all_ever_bis=1 then inh_all_ever=1; -else if SRA_Q10_2=0 and (inh_all_ever_bis=0 or inh_all_ever_bis=.) then inh_all_ever=0; -else inh_all_ever=.; -drop inh_all_ever_bis;","Partially harmonized because not specify if doctor diagnosed or not; data collected at 6yo and 12yo concerns hay fever or allergy to cats, dust,… from birth. Based on the age when the allergy first appeared, not specific information about episodes at this age." -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A,SRA_Q10_2_M",,,LifeCycle_CDM,outcome,inh_all_0,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and (SRA_Q10_2_A>=0 and SRA_Q10_2_A<1) or ((SRA_Q10_2_A=0 or SRA_Q10_2_A=.) and (SRA_Q10_2_M>=0 and SRA_Q10_2_M<12)) - then inh_all_0=1; -else if SRA_Q10_2=0 and (SRA_Q10_2_A>=0 and SRA_Q10_2_A<1) or (SRA_Q10_2_M>=0 and SRA_Q10_2_M<12) then inh_all_0=0; -else inh_all_0=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle_CDM,outcome,inh_all_5,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and SRA_Q10_2_A>=5 and SRA_Q10_2_A<6 then inh_all_5=1; -else if SRA_Q10_2=0 and SRA_Q10_2_A>=5 and SRA_Q10_2_A<6 then inh_all_5=0; -else inh_all_5=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up -PELAGIE,pepsy,WISCC,,,LifeCycle_CDM,outcome,nvi_pro_5,partial,final,Only the CUBES task to assess perceptive reasoning,"array NV{1} WISCc; NVi=N(of NV{*}); NVp=NVi/1; if NVp>=0.75 then do; -NV12_raw=sum(of NV{*}); -NV12_mean=NV12_raw/NVi; -NV12_pro=round(NV12_mean*1,1); -end;",Only the CUBES task to assess perceptive reasoning -PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_2,AGE_Q12,SRA_Q11_4_A",,,LifeCycle_CDM,outcome,rash_loc_13,complete,final,,"if SRA_Q11_3=1 and ((SRA_Q11_4_A>=13 and SRA_Q11_4_A<14) or (SRA_Q11_2=1 and age_q12>=13 and age_q12<14)) - then rash_loc_13=1; -else if rash_13=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=13) then rash_loc_13=0; -else rash_loc_13=.;", -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A,SRA_Q10_2_M",,,LifeCycle_CDM,outcome,inh_all_1,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and (SRA_Q10_2_A>=1 and SRA_Q10_2_A<2) or (SRA_Q10_2_M>=12 and SRA_Q10_2_M<24) then inh_all_1=1; -else if SRA_Q10_2=0 and (SRA_Q10_2_A>=1 and SRA_Q10_2_A<2) or (SRA_Q10_2_M>=12 and SRA_Q10_2_M<24) then inh_all_1=0; -else inh_all_1=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle_CDM,outcome,inh_all_9,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=9 and SRA_Q10_2_A<10 then inh_all_9=1; -else if SRA_Q10_2=0 and SRA_Q10_2_A>=9 and SRA_Q10_2_A<10 then inh_all_9=0; -else inh_all_9=.;",No information about all the episodes of inhalant allergy -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle_CDM,outcome,inh_all_10,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=10 and SRA_Q10_2_A<11 then inh_all_10=1; -else if SRA_Q10_2=0 and SRA_Q10_2_A>=10 and SRA_Q10_2_A<11 then inh_all_10=0; -else inh_all_10=.;",No information about all the episodes of inhalant allergy -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A,SRA_Q10_2_M",,,LifeCycle_CDM,outcome,inh_all_2,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and (SRA_Q10_2_A>=2 and SRA_Q10_2_A<3) or (SRA_Q10_2_M>=24 and SRA_Q10_2_M<36) then inh_all_2=1; -else if SRA_Q10_2=0 and (SRA_Q10_2_A>=2 and SRA_Q10_2_A<3) or (SRA_Q10_2_M>=24 and SRA_Q10_2_M<36) then inh_all_2=0; -else inh_all_2=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle_CDM,outcome,inh_all_3,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and SRA_Q10_2_A>=3 and SRA_Q10_2_A<4 then inh_all_3=1; -else if SRA_Q10_2=0 and SRA_Q10_2_A>=3 and SRA_Q10_2_A<4 then inh_all_3=0; -else inh_all_3=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q2,"B126,B127",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_1,complete,final,,"IF B126=0 then b127=0; -if b127=1 then rhinitis_sx_ever_1=1; -else if b127=0 then rhinitis_sx_ever_1=0;", -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle_CDM,outcome,inh_all_4,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and SRA_Q10_2_A>=4 and SRA_Q10_2_A<5 then inh_all_4=1; -else if SRA_Q10_2=0 and SRA_Q10_2_A>=4 and SRA_Q10_2_A<5 then inh_all_4=0; -else inh_all_4=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_2,AGE_Q12,SRA_Q11_4_A",,,LifeCycle_CDM,outcome,rash_loc_14,complete,final,,"if SRA_Q11_3=1 and ((SRA_Q11_4_A>=14 and SRA_Q11_4_A<15) or (SRA_Q11_2=1 and age_q12>=14 and age_q12<15)) - then rash_loc_14=1; -else if rash_14=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=14) then rash_loc_14=0; -else rash_loc_14=.;", -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle_CDM,outcome,inh_all_6,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and SRA_Q10_2_A>=6 and SRA_Q10_2_A<7 then inh_all_6=1; -else if SRA_Q10_2=0 and SRA_Q10_2_A>=6 and SRA_Q10_2_A<7 then inh_all_6=0; -else inh_all_6=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle_CDM,outcome,inh_all_7,partial,final,No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up,"if SRA_Q10_2=1 and SRA_Q10_2_A>=7 and SRA_Q10_2_A<8 then inh_all_7=1; -else if SRA_Q10_2=0 and SRA_Q10_2_A>=7 and SRA_Q10_2_A<8 then inh_all_7=0; -else inh_all_7=.;",No information about all the episodes of inhalant allergy. Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle_CDM,outcome,inh_all_11,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=11 and SRA_Q10_2_A<12 then inh_all_11=1; -else if SRA_Q10_2=0 and SRA_Q10_2_A>=11 and SRA_Q10_2_A<12 then inh_all_11=0; -else inh_all_11=.;",No information about all the episodes of inhalant allergy -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle_CDM,outcome,inh_all_12,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=12 and SRA_Q10_2_A<13 then inh_all_12=1; -else if SRA_Q10_2=0 and SRA_Q10_2_A>=12 and SRA_Q10_2_A<13 then inh_all_12=0; -else inh_all_12=.;",No information about all the episodes of inhalant allergy -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle_CDM,outcome,inh_all_13,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=13 and SRA_Q10_2_A<14 then inh_all_13=1; -else if SRA_Q10_2=0 and SRA_Q10_2_A>=13 and SRA_Q10_2_A<14 then inh_all_13=0; -else inh_all_13=.;",No information about all the episodes of inhalant allergy -PELAGIE,pelagie_q12,"SRA_Q10_2,SRA_Q10_2_A",,,LifeCycle_CDM,outcome,inh_all_14,partial,final,No information about all the episodes of inhalant allergy,"if SRA_Q10_2=1 and SRA_Q10_2_A>=14 and SRA_Q10_2_A<15 then inh_all_14=1; -else if SRA_Q10_2=0 and SRA_Q10_2_A>=14 and SRA_Q10_2_A<15 then inh_all_14=0; -else inh_all_14=.;",No information about all the episodes of inhalant allergy -PELAGIE,pelagie_q6,QS6_C35,,,LifeCycle_CDM,outcome,urticaria,complete,final,,urticaria=QS6_C35;, -PELAGIE,pelagie_q6,"QS6_C25,QS6_C26,AGE_ENFANT_QUEST",,,LifeCycle_CDM,outcome,rash_6,complete,final,,"if (6 le age_enfant_quest lt 7) then do; -if QS6_C25=0 then rash_6=0; -else if QS6_C26=0 then rash_6=0; -else if QS6_C26=1 then rash_6=1; -end;", -PELAGIE,harmonized,EXT_INSTR_7,,,LifeCycle_CDM,outcome,ext_instr_7,complete,final,,instr=47;, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mepa_lod_t2,complete,final,,BDD_phtalates_phenols$m_mepa_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.04, -PELAGIE,pelagie_q2,"B150,B151","pelagie_q6,pelagie_q6","QS6_C31_CONFIRME,QS6_C31_AGE_AMM",LifeCycle_CDM,outcome,eczema_0,complete,final,From data collected at 2yp and completed by data collected at 6yo,"if b150=0 then do; b151=0;b152=0; end; -eczema_0_q2=b151; - -if qs6_c31_confirme=0 then do; eczema_0_q6=0;eczema_1_q6=0;eczema_2=0;eczema_3=0;eczema_4=0;eczema_5=0; end; -if qs6_c31_confirme=1 and qs6_c31_age_amm ne . then do; - if qs6_c31_age_amm<100 then eczema_0_q6=1; - else if qs6_c31_age_amm<200 then do; eczema_0_q6=0; eczema_1_q6=1; end; - else if qs6_c31_age_amm<300 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=1;end; - else if qs6_c31_age_amm<400 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=1;end; - else if qs6_c31_age_amm<500 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=1;end; - else if qs6_c31_age_amm<600 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=1;end; - else if qs6_c31_age_amm<700 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=0; eczema_6=1;end; -end; - -if eczema_0_q2=. then eczema_0=eczema_0_q6; -else eczema_0=eczema_0_q2;",From data collected at 2yp and completed by data collected at 6yo -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,int_age_14,complete,final,,int_age_14=(DATE-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_2,SRA_Q11_4_A,AGE_Q12",,,LifeCycle_CDM,outcome,rash_11,complete,final,,"if (SRA_Q11_1=1 and (SRA_Q11_4_A>=11 and SRA_Q11_4_A<12)) or (SRA_Q11_2=1 and (age_q12>=11 - and age_q12<12)) then rash_11=1; -else if SRA_Q11_1=0 and age_q12>=11 then rash_11=0; -else rash_11=.;", -PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_2,SRA_Q11_4_A,AGE_Q12",,,LifeCycle_CDM,outcome,rash_13,complete,final,,"if (SRA_Q11_1=1 and (SRA_Q11_4_A>=13 and SRA_Q11_4_A<14)) or (SRA_Q11_2=1 and (age_q12>=13 - and age_q12<14)) then rash_13=1; -else if SRA_Q11_1=0 and age_q12>=13 then rash_13=0; -else rash_13=.;", -PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A,SRA_Q11_2,AGE_Q12",,,LifeCycle_CDM,outcome,eczema_14,complete,final,,"if eczema_temp_ever=1 and ((SRA_Q11_4_A>=14 and SRA_Q11_4_A<15) or (SRA_Q11_6_A>=14 and - SRA_Q11_6_A<15) or (SRA_Q12_A>=14 and SRA_Q12_A<15)) then eczema_14=1; -else if eczema_temp_ever=0 and age_q12>=14 then eczema_14=0; -else eczema_14=.;", -PELAGIE,pelagie_q2,"B150,B152","pelagie_q6,pelagie_q6","QS6_C31_CONFIRME,QS6_C31_AGE_AMM",LifeCycle_CDM,outcome,eczema_1,complete,final,From data collected at 2yp and completed by data collected at 6yo,"if b150=0 then do; b151=0;b152=0; end; -eczema_1_q2=b152; - -if qs6_c31_confirme=0 then do; eczema_0_q6=0;eczema_1_q6=0;eczema_2=0;eczema_3=0;eczema_4=0;eczema_5=0; end; -if qs6_c31_confirme=1 and qs6_c31_age_amm ne . then do; - if qs6_c31_age_amm<100 then eczema_0_q6=1; - else if qs6_c31_age_amm<200 then do; eczema_0_q6=0; eczema_1_q6=1; end; - else if qs6_c31_age_amm<300 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=1;end; - else if qs6_c31_age_amm<400 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=1;end; - else if qs6_c31_age_amm<500 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=1;end; - else if qs6_c31_age_amm<600 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=1;end; - else if qs6_c31_age_amm<700 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=0; eczema_6=1;end; -end; - -if eczema_1_q2=. then eczema_1=eczema_1_q6; -else eczema_1=eczema_1_q2;",From data collected at 2yp and completed by data collected at 6yo -PELAGIE,pelagie_q6,"QS6_C31,QS6_C31_CONFIRME,QS6_C31_AGE_AMM",,,LifeCycle_CDM,outcome,eczema_5,complete,final,,"if qs6_c31_confirme=0 then do; eczema_0_q6=0;eczema_1_q6=0;eczema_2=0;eczema_3=0;eczema_4=0;eczema_5=0; end; -if qs6_c31_confirme=1 and qs6_c31_age_amm ne . then do; - if qs6_c31_age_amm<100 then eczema_0_q6=1; - else if qs6_c31_age_amm<200 then do; eczema_0_q6=0; eczema_1_q6=1; end; - else if qs6_c31_age_amm<300 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=1;end; - else if qs6_c31_age_amm<400 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=1;end; - else if qs6_c31_age_amm<500 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=1;end; - else if qs6_c31_age_amm<600 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=1;end; - else if qs6_c31_age_amm<700 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=0; eczema_6=1;end; -end; - -if qs6_c31_confirme=1 then eczema_ever_q6=1; -else if qs6_c31_confirme=0 then eczema_ever_q6=0;", -PELAGIE,harmonized,"ECZEMA_0,ECZEMA_1","pelagie_q6,pelagie_q12","QS6_C31_CONFIRME,SRA_Q12_1",LifeCycle_CDM,outcome,eczema_ever,complete,final,Updated with data from 12-year-old follow-up,"if eczema_0_q2=1 or eczema_1_q2=1 then eczema_ever_q2=1; -else if eczema_0_q2=0 and eczema_1_q2=0 then eczema_ever_q2=0; - -eczema_ever_q6=qs6_c31_confirme; - -if eczema_ever_q2=1 or eczema_ever_q6=1 then eczema_ever=1; -else if eczema_ever_q2=0 and eczema_ever_q6=0 then eczema_ever=0; -else if eczema_ever_q2=. and eczema_ever_q6=1 then eczema_ever=1; -else if eczema_ever_q2=. and eczema_ever_q6=0 then eczema_ever=0; - -UPDATE 12-year-old follow-up: -eczema_ever_bis=eczema_ever; -if SRA_Q12_1=1 or eczema_ever_bis=1 then eczema_ever=1; -else if SRA_Q12_1=0 and (eczema_ever_bis=0 or eczema_ever_bis=.) then eczema_ever=0; -else eczema_ever=.; -drop eczema_ever_bis;",Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q6,"QS6_C31,QS6_C31_CONFIRME,QS6_C31_AGE_AMM",,,LifeCycle_CDM,outcome,eczema_2,complete,final,,"if qs6_c31_confirme=0 then do; eczema_0_q6=0;eczema_1_q6=0;eczema_2=0;eczema_3=0;eczema_4=0;eczema_5=0; end; -if qs6_c31_confirme=1 and qs6_c31_age_amm ne . then do; - if qs6_c31_age_amm<100 then eczema_0_q6=1; - else if qs6_c31_age_amm<200 then do; eczema_0_q6=0; eczema_1_q6=1; end; - else if qs6_c31_age_amm<300 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=1;end; - else if qs6_c31_age_amm<400 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=1;end; - else if qs6_c31_age_amm<500 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=1;end; - else if qs6_c31_age_amm<600 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=1;end; - else if qs6_c31_age_amm<700 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=0; eczema_6=1;end; -end; - -if qs6_c31_confirme=1 then eczema_ever_q6=1; -else if qs6_c31_confirme=0 then eczema_ever_q6=0;", -PELAGIE,pelagie_q6,"QS6_C31,QS6_C31_CONFIRME,QS6_C31_AGE_AMM",,,LifeCycle_CDM,outcome,eczema_3,complete,final,,"if qs6_c31_confirme=0 then do; eczema_0_q6=0;eczema_1_q6=0;eczema_2=0;eczema_3=0;eczema_4=0;eczema_5=0; end; -if qs6_c31_confirme=1 and qs6_c31_age_amm ne . then do; - if qs6_c31_age_amm<100 then eczema_0_q6=1; - else if qs6_c31_age_amm<200 then do; eczema_0_q6=0; eczema_1_q6=1; end; - else if qs6_c31_age_amm<300 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=1;end; - else if qs6_c31_age_amm<400 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=1;end; - else if qs6_c31_age_amm<500 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=1;end; - else if qs6_c31_age_amm<600 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=1;end; - else if qs6_c31_age_amm<700 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=0; eczema_6=1;end; -end; - -if qs6_c31_confirme=1 then eczema_ever_q6=1; -else if qs6_c31_confirme=0 then eczema_ever_q6=0;", -PELAGIE,pelagie_q6,"QS6_C31,QS6_C31_CONFIRME,QS6_C31_AGE_AMM",,,LifeCycle_CDM,outcome,eczema_4,complete,final,,"if qs6_c31_confirme=0 then do; eczema_0_q6=0;eczema_1_q6=0;eczema_2=0;eczema_3=0;eczema_4=0;eczema_5=0; end; -if qs6_c31_confirme=1 and qs6_c31_age_amm ne . then do; - if qs6_c31_age_amm<100 then eczema_0_q6=1; - else if qs6_c31_age_amm<200 then do; eczema_0_q6=0; eczema_1_q6=1; end; - else if qs6_c31_age_amm<300 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=1;end; - else if qs6_c31_age_amm<400 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=1;end; - else if qs6_c31_age_amm<500 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=1;end; - else if qs6_c31_age_amm<600 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=1;end; - else if qs6_c31_age_amm<700 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=0; eczema_6=1;end; -end; - -if qs6_c31_confirme=1 then eczema_ever_q6=1; -else if qs6_c31_confirme=0 then eczema_ever_q6=0;", -PELAGIE,pelagie_q6,QS6_C16,,,ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_6,complete,final,,"if (6 le age_enfant_quest lt 7) then do; -rhinitis_sx_ever_6=QS6_C16; -end;", -PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_4_A",,,LifeCycle_CDM,outcome,rash_9,partial,final,Information only about age of first rash apparition. No information regarding other specific episodes at this age.,"if SRA_Q11_1=1 and (SRA_Q11_4_A>=9 and SRA_Q11_4_A<10) then rash_9=1; -else if SRA_Q11_1=0 and age_q12>=9 then rash_9=0; -else rash_9=.;",Information only about age of first rash apparition. No information regarding other specific episodes at this age. -PELAGIE,pelagie_q6,"QS6_C31,QS6_C31_CONFIRME,QS6_C31_AGE_AMM",,,LifeCycle_CDM,outcome,eczema_6,complete,final,,"if qs6_c31_confirme=0 then do; eczema_0_q6=0;eczema_1_q6=0;eczema_2=0;eczema_3=0;eczema_4=0;eczema_5=0; end; -if qs6_c31_confirme=1 and qs6_c31_age_amm ne . then do; - if qs6_c31_age_amm<100 then eczema_0_q6=1; - else if qs6_c31_age_amm<200 then do; eczema_0_q6=0; eczema_1_q6=1; end; - else if qs6_c31_age_amm<300 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=1;end; - else if qs6_c31_age_amm<400 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=1;end; - else if qs6_c31_age_amm<500 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=1;end; - else if qs6_c31_age_amm<600 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=1;end; - else if qs6_c31_age_amm<700 then do; eczema_0_q6=0; eczema_1_q6=0; eczema_2=0; eczema_3=0; eczema_4=0; eczema_5=0; eczema_6=1;end; -end; - -if qs6_c31_confirme=1 then eczema_ever_q6=1; -else if qs6_c31_confirme=0 then eczema_ever_q6=0;", -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_159,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A",,,LifeCycle_CDM,outcome,eczema_7,partial,final,"Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age. Updated with data from 12-year-old follow-up","UPDATE 12-year-old follow-up: -eczema_7bis=eczema_7; -if eczema_7bis=1 or (eczema_temp_ever=1 and ((SRA_Q11_4_A>=7 and SRA_Q11_4_A<8) or (SRA_Q11_6_A>=7 and - SRA_Q11_6_A<8) or (SRA_Q12_A>=7 and SRA_Q12_A<8))) then eczema_7=1; -else if eczema_7bis=0 or (eczema_temp_ever=0 and age_q12>=7) then eczema_7=0; -else eczema_7=.; -drop eczema_7bis;","Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age. Updated with data from 12-year-old follow-up" -PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A",,,LifeCycle_CDM,outcome,eczema_8,partial,final,"Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age.","eczema_8bis=eczema_8; -if eczema_8bis=1 or (eczema_temp_ever=1 and ((SRA_Q11_4_A>=8 and SRA_Q11_4_A<9) or (SRA_Q11_6_A>=8 and - SRA_Q11_6_A<9) or (SRA_Q12_A>=8 and SRA_Q12_A<9))) then eczema_8=1; -else if eczema_8bis=0 or (eczema_temp_ever=0 and age_q12>=8) then eczema_8=0; -else eczema_8=.; -drop eczema_8bis;","Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age." -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_154,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_4_A",,,LifeCycle_CDM,outcome,rash_10,partial,final,Information only about age of first rash apparition. No information regarding other specific episodes at this age.,"if SRA_Q11_1=1 and (SRA_Q11_4_A>=10 and SRA_Q11_4_A<11) then rash_10=1; -else if SRA_Q11_1=0 and age_q12>=10 then rash_10=0; -else rash_10=.;",Information only about age of first rash apparition. No information regarding other specific episodes at this age. -PELAGIE,pelagie_q2,"B144,B145",,,LifeCycle_CDM,outcome,rash_0,complete,final,,"if b144=0 then do; b145=0; b146=0; b147=0; end; -rash_0=b145;", -PELAGIE,pelagie_q2,"B144,B146",,,LifeCycle_CDM,outcome,rash_1,complete,final,,"if b144=0 then do; b145=0; b146=0; b147=0; end; -rash_1=b146;", -AP,AP,,,,OOM_CDM,VISIT_OCCURRENCE,meaning_of_visit,complete,,‘pathology_report’,, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_oxbe_lod_t2,complete,final,,BDD_phtalates_phenols$m_oxbe_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.04, -PELAGIE,pelagie_q6,"QS6_C25,QS6_C26,AGE_ENFANT_QUEST","pelagie_q12,pelagie_q12","SRA_Q11_1,SRA_Q11_4_A",LifeCycle_CDM,outcome,rash_7,complete,final,Updated with data from 12-year-old follow-up,"if (7 le age_enfant_quest lt 8) then do; -if QS6_C25=0 then rash_7=0; -else if QS6_C26=0 then rash_7=0; -else if QS6_C26=1 then rash_7=1; -end; - -UPDATE: -rash_7bis=rash_7; -if rash_7bis=1 or (SRA_Q11_1=1 and (SRA_Q11_4_A>=7 and SRA_Q11_4_A<8)) then rash_7=1; -else if rash_7bis=0 or (SRA_Q11_1=0 and age_q12>=7) then rash_7=0; -else rash_7=.; -drop rash_7bis;",Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A",,,LifeCycle_CDM,outcome,eczema_9,partial,final,"Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age.","eczema_9bis=eczema_9; -if eczema_9bis=1 or (eczema_temp_ever=1 and ((SRA_Q11_4_A>=9 and SRA_Q11_4_A<10) or (SRA_Q11_6_A>=9 and - SRA_Q11_6_A<10) or (SRA_Q12_A>=9 and SRA_Q12_A<10))) then eczema_9=1; -else if eczema_9bis=0 or (eczema_temp_ever=0 and age_q12>=9) then eczema_9=0; -else eczema_9=.; -drop eczema_9bis;","Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age." -PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A",,,LifeCycle_CDM,outcome,eczema_10,partial,final,"Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age.","if eczema_temp_ever=1 and ((SRA_Q11_4_A>=10 and SRA_Q11_4_A<11) or (SRA_Q11_6_A>=10 and - SRA_Q11_6_A<11) or (SRA_Q12_A>=10 and SRA_Q12_A<11)) then eczema_10=1; -else if eczema_temp_ever=0 and age_q12>=10 then eczema_10=0; -else eczema_10=.;","Information only about age of first rash apparition, the age at the eczema diagnosis and age of the eczema apparition. No information regarding other specific episodes at this age." -PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A,SRA_Q11_2,AGE_Q12",,,LifeCycle_CDM,outcome,eczema_11,complete,final,,"if eczema_temp_ever=1 and ((SRA_Q11_4_A>=11 and SRA_Q11_4_A<12) or (SRA_Q11_6_A>=11 and - SRA_Q11_6_A<12) or (SRA_Q12_A>=11 and SRA_Q12_A<12)) then eczema_11=1; -else if eczema_temp_ever=0 and age_q12>=11 then eczema_11=0; -else eczema_11=.;", -PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A,SRA_Q11_2,AGE_Q12",,,LifeCycle_CDM,outcome,eczema_12,complete,final,,"if eczema_temp_ever=1 and ((SRA_Q11_4_A>=12 and SRA_Q11_4_A<13) or (SRA_Q11_6_A>=12 and - SRA_Q11_6_A<13) or (SRA_Q12_A>=12 and SRA_Q12_A<13)) then eczema_12=1; -else if eczema_temp_ever=0 and age_q12>=12 then eczema_12=0; -else eczema_12=.;", -PELAGIE,pelagie_q12,"SRA_Q11_6,SRA_Q12_1,SRA_Q11_3,SRA_Q11_4_A,SRA_Q11_6_A,SRA_Q12_A,SRA_Q11_2,AGE_Q12",,,LifeCycle_CDM,outcome,eczema_13,complete,final,,"if eczema_temp_ever=1 and ((SRA_Q11_4_A>=13 and SRA_Q11_4_A<14) or (SRA_Q11_6_A>=13 and - SRA_Q11_6_A<14) or (SRA_Q12_A>=13 and SRA_Q12_A<14)) then eczema_13=1; -else if eczema_temp_ever=0 and age_q12>=13 then eczema_13=0; -else eczema_13=.;", -PELAGIE,pelagie_q6,"QS6_C25,QS6_C26,AGE_ENFANT_QUEST",,,LifeCycle_CDM,outcome,rash_5,complete,final,,"if (5 le age_enfant_quest lt 6) then do; -if QS6_C25=0 then rash_5=0; -else if QS6_C26=0 then rash_5=0; -else if QS6_C26=1 then rash_5=1; -end;", -PELAGIE,harmonized,EXT_INSTR_8,,,LifeCycle_CDM,outcome,ext_instr_8,complete,final,,instr=47;, -PELAGIE,BDD_phtalates_phenols,"MEPA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mepa_raw_t2,complete,final,,BDD_phtalates_phenols$m_mepa_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MEPA, -PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_4_A",,,LifeCycle_CDM,outcome,rash_8,partial,final,Information only about age of first rash apparition. No information regarding other specific episodes at this age.,"rash_8bis=rash_8; -if rash_8bis=1 or (SRA_Q11_1=1 and (SRA_Q11_4_A>=8 and SRA_Q11_4_A<9)) then rash_8=1; -else if rash_8bis=0 or (SRA_Q11_1=0 and age_q12>=8) then rash_8=0; -else rash_8=.; -drop rash_8bis;",Information only about age of first rash apparition. No information regarding other specific episodes at this age. -PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_2,SRA_Q11_4_A,AGE_Q12",,,LifeCycle_CDM,outcome,rash_12,complete,final,,"if (SRA_Q11_1=1 and (SRA_Q11_4_A>=12 and SRA_Q11_4_A<13)) or (SRA_Q11_2=1 and (age_q12>=12 - and age_q12<13)) then rash_12=1; -else if SRA_Q11_1=0 and age_q12>=12 then rash_12=0; -else rash_12=.;", -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,aggr_age_12,complete,final,,aggr_age_12=(DATE-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,"SRA_Q11_1,SRA_Q11_2,SRA_Q11_4_A,AGE_Q12",,,LifeCycle_CDM,outcome,rash_14,complete,final,,"if (SRA_Q11_1=1 and (SRA_Q11_4_A>=14 and SRA_Q11_4_A<15)) or (SRA_Q11_2=1 and (age_q12>=14 - and age_q12<15)) then rash_14=1; -else if SRA_Q11_1=0 and age_q12>=14 then rash_14=0; -else rash_14=.;", -PELAGIE,pelagie_q2,B147,,,LifeCycle_CDM,outcome,rash_loc_0,complete,final,,"if b147=0 then do; rash_loc_0=0; rash_loc_1=0; end; -if b147=1 and rash_0=1 then rash_loc_0=1;", -PELAGIE,pelagie_q2,B147,,,LifeCycle_CDM,outcome,rash_loc_1,complete,final,,"if b147=0 then do; rash_loc_0=0; rash_loc_1=0; end; -if b147=1 and rash_1=1 then rash_loc_1=1;", -PELAGIE,pelagie_q6,QS6_C27,,,LifeCycle_CDM,outcome,rash_loc_5,complete,final,,"if (5 le age_enfant_quest lt 6) then do; -if QS6_C27=1 then rash_loc_5=1; -else if QS6_C25=0 or QS6_C26=0 or QS6_C27=0 then rash_loc_5=0; -end;", -PELAGIE,pelagie_q6,QS6_C27,,,LifeCycle_CDM,outcome,rash_loc_6,complete,final,,"if (6 le age_enfant_quest lt 7) then do; -if QS6_C27=1 then rash_loc_6=1; -else if QS6_C25=0 or QS6_C26=0 or QS6_C27=0 then rash_loc_6=0; -end;", -PELAGIE,harmonized,EXT_INSTR_11,,,LifeCycle_CDM,outcome,ext_instr_11,complete,final,,instr=47;, -PELAGIE,BDD_phtalates_phenols,"ETPA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_etpa_raw_t1,complete,final,,BDD_phtalates_phenols$m_etpa_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$ETPA, -PELAGIE,pelagie_q6,QS6_C27,"pelagie_q12,pelagie_q12","SRA_Q11_3,SRA_Q11_4_A",LifeCycle_CDM,outcome,rash_loc_7,complete,final,Updated with data from 12-year-old follow-up,"if (7 le age_enfant_quest lt 8) then do; -if QS6_C27=1 then rash_loc_7=1; -else if QS6_C25=0 or QS6_C26=0 or QS6_C27=0 then rash_loc_7=0; -end; - -UPDATE 12-year-old follow-up: -rash_loc_7bis=rash_loc_7; -if rash_loc_7bis=1 or (SRA_Q11_3=1 and (SRA_Q11_4_A>=7 and SRA_Q11_4_A<8)) then rash_loc_7=1; -else if rash_loc_7bis=0 or (rash_7=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=7)) then rash_loc_7=0; -else rash_loc_7=.; -drop rash_loc_7bis;",Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_4_A",,,LifeCycle_CDM,outcome,rash_loc_8,partial,final,"Only information about the age at rash onset, no information about other episodes at this specific age.","rash_loc_8bis=rash_loc_8; -if rash_loc_8bis=1 or (SRA_Q11_3=1 and (SRA_Q11_4_A>=8 and SRA_Q11_4_A<9)) then rash_loc_8=1; -else if rash_loc_8bis=0 or (rash_8=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=8)) then rash_loc_8=0; -else rash_loc_8=.; -drop rash_loc_8bis;","Only information about the age at rash onset, no information about other episodes at this specific age." -PELAGIE,harmonized,INT_EVAL_5,,,LifeCycle_CDM,outcome,int_eval_5,complete,final,,eval=2;, -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,aggr_age_13,complete,final,,aggr_age_13=(DATE-ddn_2021)/365.2422;, -PELAGIE,BDD_phtalates_phenols,"BP_S,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_bps_raw_t1,complete,final,,BDD_phtalates_phenols$m_bps_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$BP_S, -PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_4_A",,,LifeCycle_CDM,outcome,rash_loc_9,partial,final,"Only information about the age at rash onset, no information about other episodes at this specific age.","if SRA_Q11_3=1 and (SRA_Q11_4_A>=9 and SRA_Q11_4_A<10) then rash_loc_9=1; -else if rash_9=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=9) then rash_loc_9=0; -else rash_loc_9=.;","Only information about the age at rash onset, no information about other episodes at this specific age." -PELAGIE,pelagie_q12,"SRA_Q11_3,SRA_Q11_4_A",,,LifeCycle_CDM,outcome,rash_loc_10,partial,final,"Only information about the age at rash onset, no information about other episodes at this specific age.","if SRA_Q11_3=1 and (SRA_Q11_4_A>=10 and SRA_Q11_4_A<11) then rash_loc_10=1; -else if rash_10=1 and ((SRA_Q11_3=0 or SRA_Q11_3=.) and age_q12>=10) then rash_loc_10=0; -else rash_loc_10=.;","Only information about the age at rash onset, no information about other episodes at this specific age." -PELAGIE,pelagie_q6,QS6_C17,,,ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_6,complete,final,,"if (6 le age_enfant_quest lt 7) then do; -rhinitis_sx_12m_6=QS6_C17; -end;", -PELAGIE,harmonized,ARMCIRCMES_0,,,LifeCycle_CDM,outcome,armcircmes_151,complete,final,,armcircmes_151=0;, -PELAGIE,BDD_phtalates_phenols,"ETPA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_etpa_raw_t2,complete,final,,BDD_phtalates_phenols$m_etpa_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$ETPA, -PELAGIE,pelagie_q6,QS6_C16,"pelagie_q12,pelagie_q12","SRA_Q8_1,SRA_Q8_4_2_A",ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_7,complete,final,,"if (7 le age_enfant_quest lt 8) then do; -rhinitis_sx_ever_7=QS6_C16; -end; - -UPDATE 12-year-old follow-up: -rhinitis_sx_ever_7bis=rhinitis_sx_ever_7; -rhinitis_sx_ever_7=.; -if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=7 and SRA_Q8_4_2_A<8) or rhinitis_sx_ever_7bis=1 then rhinitis_sx_ever_7=1; -else if (SRA_Q8_1=0 and age_q12>=7) or rhinitis_sx_ever_7bis=0 then rhinitis_sx_ever_7=0; -else rhinitis_sx_ever_7=.; -drop rhinitis_sx_ever_7bis;",Updated with data from 12-year-old follow-up -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_8,partial,final,,"if SRA_Q8_1=1 and SRA_Q8_4_2_A>=8 and SRA_Q8_4_2_A<9 then rhinitis_sx_ever_8=1; -else if SRA_Q8_1=0 and age_q12>=8 then rhinitis_sx_ever_8=0; -else rhinitis_sx_ever_8=.;",Partially harmonized because is based only on the age of first episode of rhinitis symptoms. No information about other episodes at that age. -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_9,partial,final,,"if SRA_Q8_1=1 and SRA_Q8_4_2_A>=9 and SRA_Q8_4_2_A<10 then rhinitis_sx_ever_9=1; -else if SRA_Q8_1=0 and age_q12>=9 then rhinitis_sx_ever_9=0; -else rhinitis_sx_ever_9=.;",Partially harmonized because is based only on the age of first episode of rhinitis symptoms. No information about other episodes at that age. -PELAGIE,harmonized,AGGR_PRO_5,,,ATHLETE_CDM,outcome_ath,aggr_pc_5,complete,final,,"SDQ6$aggr_pc_5<-xtile(SDQ6$aggr_pro_5, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pepsy,WISCC,,,LifeCycle_CDM,outcome,nvi_avg_6,partial,final,Only 1 task : Cubes to assess Perceptive Reasoning,"array NV{1} WISCc; NVi=N(of NV{*}); NVp=NVi/1; if NVp>=0.75 then do; -NV12_raw=sum(of NV{*}); -NV12_mean=NV12_raw/NVi; -NV12_pro=round(NV12_mean*1,1); -end;",Only 1 task : Cubes to assess Perceptive Reasoning -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_10,partial,final,,"if SRA_Q8_1=1 and SRA_Q8_4_2_A>=10 and SRA_Q8_4_2_A<11 then rhinitis_sx_ever_10=1; -else if SRA_Q8_1=0 and age_q12>=10 then rhinitis_sx_ever_10=0; -else rhinitis_sx_ever_10=.;",Partially harmonized because is based only on the age of first episode of rhinitis symptoms. No information about other episodes at that age. -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A,SRA_Q8_2,AGE_Q12",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_11,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=11 and SRA_Q8_4_2_A<12) or (SRA_Q8_2=1 and age_q12>=11 and age_q12<12) then rhinitis_sx_ever_11=1; -else if (age_q12>=11 and age_q12<12 and SRA_Q8_2=0) or (SRA_Q8_1=0 and age_q12>=11) then rhinitis_sx_ever_11=0; -else rhinitis_sx_ever_11=.;", -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A,SRA_Q8_2,AGE_Q12",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_12,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=12 and SRA_Q8_4_2_A<13) or (SRA_Q8_2=1 and age_q12>=12 and age_q12<13) then rhinitis_sx_ever_12=1; -else if (age_q12>=12 and age_q12<13 and SRA_Q8_2=0) or (SRA_Q8_1=0 and age_q12>=12) then rhinitis_sx_ever_12=0; -else rhinitis_sx_ever_12=.;", -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A,SRA_Q8_2,AGE_Q12",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_13,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=13 and SRA_Q8_4_2_A<14) or (SRA_Q8_2=1 and age_q12>=13 and age_q12<14) then rhinitis_sx_ever_13=1; -else if (age_q12>=13 and age_q12<14 and SRA_Q8_2=0) or (SRA_Q8_1=0 and age_q12>=13) then rhinitis_sx_ever_13=0; -else rhinitis_sx_ever_13=.;", -PELAGIE,BDD_phtalates_phenols,"MIBP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mibp_raw_t2,complete,final,,BDD_phtalates_phenols$m_mibp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MiBP, -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A,SRA_Q8_2,AGE_Q12",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_14,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=14 and SRA_Q8_4_2_A<15) or (SRA_Q8_2=1 and age_q12>=14 and age_q12<15) then rhinitis_sx_ever_14=1; -else if (age_q12>=14 and age_q12<15 and SRA_Q8_2=0) or (SRA_Q8_1=0 and age_q12>=14) then rhinitis_sx_ever_14=0; -else rhinitis_sx_ever_14=.;", -PELAGIE,pelagie_q6,QS6_C17,,,ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_5,complete,final,,"if (5 le age_enfant_quest lt 6) then do; -rhinitis_sx_12m_5=QS6_C17; -end;", -PELAGIE,pelagie_q6,QS6_C17,"pelagie_q12,pelagie_q12","SRA_Q8_1,SRA_Q8_4_2_A",ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_7,complete,final,,"if (7 le age_enfant_quest lt 8) then do; -rhinitis_sx_12m_7=QS6_C17; -end; - -UPDATE 12-year-old follow-up: -rhinitis_sx_12m_7bis=rhinitis_sx_12m_7; -if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=7 and SRA_Q8_4_2_A<8) or rhinitis_sx_12m_7bis=1 then rhinitis_sx_12m_7=1; -else if (SRA_Q8_1=0 and age_q12>=7) or rhinitis_sx_12m_7bis=0 then rhinitis_sx_12m_7=0; -else rhinitis_sx_12m_7=.; -drop rhinitis_sx_12m_7bis;",Updated with data from 12-year-old follow-up -PELAGIE,harmonized,AGGR_PRO_6,,,ATHLETE_CDM,outcome_ath,aggr_pc_6,complete,final,,"SDQ6$aggr_pc_6<-xtile(SDQ6$aggr_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_etpa_lod_t1,complete,final,,BDD_phtalates_phenols$m_etpa_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.04, -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_8,partial,final,,"if SRA_Q8_1=1 and SRA_Q8_4_2_A>=8 and SRA_Q8_4_2_A<9 then rhinitis_sx_12m_8=1; -else if SRA_Q8_1=0 and age_q12>=8 then rhinitis_sx_12m_8=0; -else rhinitis_sx_12m_8=.;",Partially harmonized because is based only on the age of first episode of symptoms. No information about other episodes at that age. -PELAGIE,pelagie_q6,QS6_C23,,,ATHLETE_CDM,outcome_ath,rhinitis_6,complete,final,,"if (6 le age_enfant_quest lt 7) then do; -rhinitis_6=QS6_C23; -end;", -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,int_age_12,complete,final,,int_age_12=(DATE-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_9,partial,final,,"if SRA_Q8_1=1 and SRA_Q8_4_2_A>=9 and SRA_Q8_4_2_A<10 then rhinitis_sx_12m_9=1; -else if SRA_Q8_1=0 and age_q12>=9 then rhinitis_sx_12m_9=0; -else rhinitis_sx_12m_9=.;",Partially harmonized because is based only on the age of first episode of symptoms. No information about other episodes at that age. -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_4_2_A",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_10,partial,final,,"if SRA_Q8_1=1 and SRA_Q8_4_2_A>=10 and SRA_Q8_4_2_A<11 then rhinitis_sx_12m_10=1; -else if SRA_Q8_1=0 and age_q12>=10 then rhinitis_sx_12m_10=0; -else rhinitis_sx_12m_10=.;",Partially harmonized because is based only on the age of first episode of symptoms. No information about other episodes at that age. -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_2,SRA_Q8_4_2_A,AGE_Q12",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_11,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=11 and SRA_Q8_4_2_A<12) or (SRA_Q8_2=1 and age_q12>=11 and age_q12<12) then rhinitis_sx_12m_11=1; -else if (SRA_Q8_1=0 and age_q12>=11) or (SRA_Q8_2=0 and age_q12>=11 and age_q12<12) then rhinitis_sx_12m_11=0; -else rhinitis_sx_12m_11=.;", -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_2,SRA_Q8_4_2_A,AGE_Q12",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_12,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=12 and SRA_Q8_4_2_A<13) or (SRA_Q8_2=1 and age_q12>=12 and age_q12<13) then rhinitis_sx_12m_12=1; -else if (SRA_Q8_1=0 and age_q12>=12) or (SRA_Q8_2=0 and age_q12>=12 and age_q12<13) then rhinitis_sx_12m_12=0; -else rhinitis_sx_12m_12=.;", -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_2,SRA_Q8_4_2_A,AGE_Q12",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_13,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=13 and SRA_Q8_4_2_A<14) or (SRA_Q8_2=1 and age_q12>=13 and age_q12<14) then rhinitis_sx_12m_13=1; -else if (SRA_Q8_1=0 and age_q12>=13) or (SRA_Q8_2=0 and age_q12>=13 and age_q12<14) then rhinitis_sx_12m_13=0; -else rhinitis_sx_12m_13=.;", -PELAGIE,harmonized,ASD_EVAL_11,,,LifeCycle_CDM,outcome,asd_eval_11,complete,final,,asd_eval_11=2;, -AP,AP,,,,OOM_CDM,VISIT_OCCURRENCE,origin_of_visit,complete,,‘AP’,, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_etpa_lod_t2,complete,final,,BDD_phtalates_phenols$m_etpa_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.04, -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q8_2,SRA_Q8_4_2_A,AGE_Q12",,,ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_14,complete,final,,"if (SRA_Q8_1=1 and SRA_Q8_4_2_A>=14 and SRA_Q8_4_2_A<15) or (SRA_Q8_2=1 and age_q12>=14 and age_q12<15) then rhinitis_sx_12m_14=1; -else if (SRA_Q8_1=0 and age_q12>=14) or (SRA_Q8_2=0 and age_q12>=14 and age_q12<15) then rhinitis_sx_12m_14=0; -else rhinitis_sx_12m_14=.;", -PELAGIE,pelagie_q6,QS6_C23,,,ATHLETE_CDM,outcome_ath,rhinitis_5,complete,final,,"if (5 le age_enfant_quest lt 6) then do; -rhinitis_5=QS6_C23; -end;", -PELAGIE,pelagie_q6,QS6_C23,"pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12,pelagie_q12","SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A",ATHLETE_CDM,outcome_ath,rhinitis_7,complete,final,,"if (7 le age_enfant_quest lt 8) then do; -rhinitis_7=QS6_C23; -end; - -UPDATE 12-year-old follow-up: -rhinitis_7bis=rhinitis_7; -if (rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=7 and SRA_Q8_4_2_A<8) or (SRA_Q9_2_A>=7 and SRA_Q9_2_A<8) - or (SRA_Q10_1_A>=7 and SRA_Q10_1_A<8)) or rhinitis_7bis=1 then rhinitis_7=1; -else if (rhinitis_temp_ever=0 and age_q12>=7) or rhinitis_7bis=0 then rhinitis_7=0; -else rhinitis_7=.; -drop rhinitis_7bis;",Updated with data from 12-year-old follow-up -PELAGIE,pepsy,"WISCMC,WISCSLC",,,LifeCycle_CDM,outcome,wm_raw_5,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,"array WM{2} WISCMC WISCSLC; WMi=N(of WM{*}); WMp=WMi/2; -if WMp>=0.75 then do; -WM12_raw=sum(of WM{*}); -WM12_mean=WM12_raw/WMi; -WM12_pro=round(WM12_mean*2,1); -end;",Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A",,,ATHLETE_CDM,outcome_ath,rhinitis_8,partial,final,,"if rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=8 and SRA_Q8_4_2_A<9) or (SRA_Q9_2_A>=8 and SRA_Q9_2_A<9) or - (SRA_Q10_1_A>=8 and SRA_Q10_1_A<9) then rhinitis_8=1; -else if rhinitis_temp_ever=0 and age_q12>=8 then rhinitis_8=0; -else rhinitis_8=.;",Partially harmonized because is based only on the age at rhinitis diagnosis and the age when rhinitis first appeared. No information about specific rhinitis episodes at that age. -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A",,,ATHLETE_CDM,outcome_ath,rhinitis_9,partial,final,,"if rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=9 and SRA_Q8_4_2_A<10) or (SRA_Q9_2_A>=9 and SRA_Q9_2_A<10) - or (SRA_Q10_1_A>=9 and SRA_Q10_1_A<10) then rhinitis_9=1; -else if rhinitis_temp_ever=0 and age_q12>=9 then rhinitis_9=0; -else rhinitis_9=.;",Partially harmonized because is based only on the age at rhinitis diagnosis and the age when rhinitis first appeared. No information about specific rhinitis episodes at that age. -PELAGIE,harmonized,AGGR_EVAL_3,,,ATHLETE_CDM,outcome_ath,aggr_eval_3,complete,final,,eval=2;, -PELAGIE,harmonized,INT_PRO_12,,,LifeCycle_CDM,outcome,int_pc_12,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ12$int_pc_12<-xtile(SDQ12$int_pro_12, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,BDD_phtalates_phenols,"PRPA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_prpa_raw_t1,complete,final,,BDD_phtalates_phenols$m_prpa_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$PRPA, -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A",,,ATHLETE_CDM,outcome_ath,rhinitis_10,partial,final,,"if rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=10 and SRA_Q8_4_2_A<11) or (SRA_Q9_2_A>=10 and SRA_Q9_2_A<11) - or (SRA_Q10_1_A>=10 and SRA_Q10_1_A<11) then rhinitis_10=1; -else if rhinitis_temp_ever=0 and age_q12>=10 then rhinitis_10=0; -else rhinitis_10=.;",Partially harmonized because is based only on the age at rhinitis diagnosis and the age when rhinitis first appeared. No information about specific rhinitis episodes at that age. -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,int_age_13,complete,final,,int_age_13=(DATE-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_2,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A,AGE_Q12",,,ATHLETE_CDM,outcome_ath,rhinitis_11,complete,final,,"if (rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=11 and SRA_Q8_4_2_A<12) or (SRA_Q9_2_A>=11 and SRA_Q9_2_A<12) - or (SRA_Q10_1_A>=11 and SRA_Q10_1_A<12)) or (SRA_Q8_2=1 and age_q12>=11 and age_q12<12) then rhinitis_11=1; -else if (rhinitis_temp_ever=0 and age_q12>=11) or (SRA_Q8_2=0 and age_q12>=11 and age_q12<12) then rhinitis_11=0; -else rhinitis_11=.;", -PELAGIE,harmonized,LAN_EVAL_5,,,LifeCycle_CDM,outcome,lan_eval_5,complete,final,,lan_eval_5=3;, -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_2,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A,AGE_Q12",,,ATHLETE_CDM,outcome_ath,rhinitis_12,complete,final,,"if (rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=12 and SRA_Q8_4_2_A<13) or (SRA_Q9_2_A>=12 and SRA_Q9_2_A<13) - or (SRA_Q10_1_A>=12 and SRA_Q10_1_A<13)) or (SRA_Q8_2=1 and age_q12>=12 and age_q12<13) then rhinitis_12=1; -else if (rhinitis_temp_ever=0 and age_q12>=12) or (SRA_Q8_2=0 and age_q12>=12 and age_q12<13) then rhinitis_12=0; -else rhinitis_12=.;", -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_2,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A,AGE_Q12",,,ATHLETE_CDM,outcome_ath,rhinitis_13,complete,final,,"if (rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=13 and SRA_Q8_4_2_A<14) or (SRA_Q9_2_A>=13 and SRA_Q9_2_A<14) - or (SRA_Q10_1_A>=13 and SRA_Q10_1_A<14)) or (SRA_Q8_2=1 and age_q12>=13 and age_q12<14) then rhinitis_13=1; -else if (rhinitis_temp_ever=0 and age_q12>=13) or (SRA_Q8_2=0 and age_q12>=13 and age_q12<14) then rhinitis_13=0; -else rhinitis_13=.;", -PELAGIE,pelagie_q12,"SRA_Q8_1,SRA_Q9_1,SRA_Q10_1,SRA_Q8_2,SRA_Q8_4_2_A,SRA_Q9_2_A,SRA_Q10_1_A,AGE_Q12",,,ATHLETE_CDM,outcome_ath,rhinitis_14,complete,final,,"if (rhinitis_temp_ever=1 and (SRA_Q8_4_2_A>=14 and SRA_Q8_4_2_A<15) or (SRA_Q9_2_A>=14 and SRA_Q9_2_A<15) - or (SRA_Q10_1_A>=14 and SRA_Q10_1_A<15)) or (SRA_Q8_2=1 and age_q12>=14 and age_q12<15) then rhinitis_14=1; -else if (rhinitis_temp_ever=0 and age_q12>=14) or (SRA_Q8_2=0 and age_q12>=14 and age_q12<15) then rhinitis_14=0; -else rhinitis_14=.;", -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,ext_age_11,complete,final,,ext_age_11=(DATE-ddn_2021)/365.2422;, -PELAGIE,harmonized,LAN_INSTR_5,,,LifeCycle_CDM,outcome,lan_instr_5,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index",lan_instr_5=59;,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index" -PELAGIE,BDD_phtalates_phenols,"PRPA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_prpa_raw_t2,complete,final,,BDD_phtalates_phenols$m_prpa_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$PRPA, -PELAGIE,harmonized,INT_PRO_13,,,LifeCycle_CDM,outcome,int_pc_13,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ12$int_pc_13<-xtile(SDQ12$int_pro_13, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,int_age_1,complete,final,,int_age_1=(b3-ddn_2021)/365.2422;, -PELAGIE,pepsy,"WISCMC,WISCSLC",,,LifeCycle_CDM,outcome,wm_raw_6,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,"array WM{2} WISCMC WISCSLC; WMi=N(of WM{*}); WMp=WMi/2; -if WMp>=0.75 then do; -WM12_raw=sum(of WM{*}); -WM12_mean=WM12_raw/WMi; -WM12_pro=round(WM12_mean*2,1); -end;",Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory -PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle_CDM,outcome,int_raw_1,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{3} b307 b313 b315; -INTi=N(of INT{*}); INTp=INTi/3; -if INTp>=0.75 then do; -score_INT2_raw=sum(of INT{*}); -score_INT2_mean=score_INT2_raw/INTi; -score_INT2_pro=round(score_INT2_mean*3,1); -end; -else do; score_INT2_raw=.; score_INT2_mean=.; score_INT2_pro=.; -end; -array int_raw (3) int_raw_1-int_raw_3; -array int_pro (3) int_pro_1-int_pro_3; -array int_mean (3) int_avg_1-int_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -int_raw(i)=score_INT2_raw; -int_pro(i)=score_INT2_pro; -int_mean(i)=score_INT2_mean; -end; -end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried? -PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle_CDM,outcome,int_raw_2,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{3} b307 b313 b315; -INTi=N(of INT{*}); INTp=INTi/3; -if INTp>=0.75 then do; -score_INT2_raw=sum(of INT{*}); -score_INT2_mean=score_INT2_raw/INTi; -score_INT2_pro=round(score_INT2_mean*3,1); -end; -else do; score_INT2_raw=.; score_INT2_mean=.; score_INT2_pro=.; -end; -array int_raw (3) int_raw_1-int_raw_3; -array int_pro (3) int_pro_1-int_pro_3; -array int_mean (3) int_avg_1-int_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -int_raw(i)=score_INT2_raw; -int_pro(i)=score_INT2_pro; -int_mean(i)=score_INT2_mean; -end; -end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried? -PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle_CDM,outcome,int_raw_3,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{3} b307 b313 b315; -INTi=N(of INT{*}); INTp=INTi/3; -if INTp>=0.75 then do; -score_INT2_raw=sum(of INT{*}); -score_INT2_mean=score_INT2_raw/INTi; -score_INT2_pro=round(score_INT2_mean*3,1); -end; -else do; score_INT2_raw=.; score_INT2_mean=.; score_INT2_pro=.; -end; -array int_raw (3) int_raw_1-int_raw_3; -array int_pro (3) int_pro_1-int_pro_3; -array int_mean (3) int_avg_1-int_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -int_raw(i)=score_INT2_raw; -int_pro(i)=score_INT2_pro; -int_mean(i)=score_INT2_mean; -end; -end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried? -PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle_CDM,outcome,int_raw_5,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT6_raw=sum(of INT{*}); -score_INT6_mean=score_INT6_raw/INTi; -score_INT6_pro=round(score_INT6_mean*10,1); -end; -else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; -end; -array int_raw (4) int_raw_5-int_raw_8; -array int_pro (4) int_pro_5-int_pro_8; -array int_mean (4) int_avg_5-int_avg_8; - -do i=1 to 4; -if round_SDQ_age6=4+i then do; -int_raw(i)=score_INT6_raw; -int_pro(i)=score_INT6_pro; -int_mean(i)=score_INT6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,harmonized,INT_PRO_7,,,LifeCycle_CDM,outcome,int_pc_7,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$int_pc_7<-xtile(SDQ6$int_pro_7, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,ldlcage_153,complete,final,,ldlcage_153=age_exam_jour;, -PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle_CDM,outcome,int_raw_6,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT6_raw=sum(of INT{*}); -score_INT6_mean=score_INT6_raw/INTi; -score_INT6_pro=round(score_INT6_mean*10,1); -end; -else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; -end; -array int_raw (4) int_raw_5-int_raw_8; -array int_pro (4) int_pro_5-int_pro_8; -array int_mean (4) int_avg_5-int_avg_8; - -do i=1 to 4; -if round_SDQ_age6=4+i then do; -int_raw(i)=score_INT6_raw; -int_pro(i)=score_INT6_pro; -int_mean(i)=score_INT6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle_CDM,outcome,int_raw_7,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT6_raw=sum(of INT{*}); -score_INT6_mean=score_INT6_raw/INTi; -score_INT6_pro=round(score_INT6_mean*10,1); -end; -else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; -end; -array int_raw (4) int_raw_5-int_raw_8; -array int_pro (4) int_pro_5-int_pro_8; -array int_mean (4) int_avg_5-int_avg_8; - -do i=1 to 4; -if round_SDQ_age6=4+i then do; -int_raw(i)=score_INT6_raw; -int_pro(i)=score_INT6_pro; -int_mean(i)=score_INT6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,int_age_2,complete,final,,int_age_2=(b3-ddn_2021)/365.2422;, -PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle_CDM,outcome,int_raw_8,complete,final,,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT6_raw=sum(of INT{*}); -score_INT6_mean=score_INT6_raw/INTi; -score_INT6_pro=round(score_INT6_mean*10,1); -end; -else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; -end; -array int_raw (4) int_raw_5-int_raw_8; -array int_pro (4) int_pro_5-int_pro_8; -array int_mean (4) int_avg_5-int_avg_8; - -do i=1 to 4; -if round_SDQ_age6=4+i then do; -int_raw(i)=score_INT6_raw; -int_pro(i)=score_INT6_pro; -int_mean(i)=score_INT6_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle_CDM,outcome,int_raw_11,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle_CDM,outcome,subscapsfmes_146,complete,final,,subscapsfmes_146=0;, -PELAGIE,harmonized,LDLCMES_146,,,LifeCycle_CDM,outcome,ldlcmes_146,complete,final,,ldlcmes_146=0;, -PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle_CDM,outcome,int_raw_12,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle_CDM,outcome,int_raw_13,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,harmonized,INT_EVAL_7,,,LifeCycle_CDM,outcome,int_eval_7,complete,final,,eval=2;, -PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle_CDM,outcome,int_raw_14,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle_CDM,outcome,int_pro_1,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{3} b307 b313 b315; -INTi=N(of INT{*}); INTp=INTi/3; -if INTp>=0.75 then do; -score_INT2_raw=sum(of INT{*}); -score_INT2_mean=score_INT2_raw/INTi; -score_INT2_pro=round(score_INT2_mean*3,1); -end; -else do; score_INT2_raw=.; score_INT2_mean=.; score_INT2_pro=.; -end; -array int_raw (3) int_raw_1-int_raw_3; -array int_pro (3) int_pro_1-int_pro_3; -array int_mean (3) int_avg_1-int_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -int_raw(i)=score_INT2_raw; -int_pro(i)=score_INT2_pro; -int_mean(i)=score_INT2_mean; -end; -end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried? -PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle_CDM,outcome,subscapsfmes_147,complete,final,,subscapsfmes_147=0;, -PELAGIE,harmonized,LDLCMES_146,,,LifeCycle_CDM,outcome,ldlcmes_147,complete,final,,ldlcmes_147=0;, -PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle_CDM,outcome,int_pro_2,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{3} b307 b313 b315; -INTi=N(of INT{*}); INTp=INTi/3; -if INTp>=0.75 then do; -score_INT2_raw=sum(of INT{*}); -score_INT2_mean=score_INT2_raw/INTi; -score_INT2_pro=round(score_INT2_mean*3,1); -end; -else do; score_INT2_raw=.; score_INT2_mean=.; score_INT2_pro=.; -end; -array int_raw (3) int_raw_1-int_raw_3; -array int_pro (3) int_pro_1-int_pro_3; -array int_mean (3) int_avg_1-int_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -int_raw(i)=score_INT2_raw; -int_pro(i)=score_INT2_pro; -int_mean(i)=score_INT2_mean; -end; -end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried? -PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle_CDM,outcome,int_pro_3,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT6_raw=sum(of INT{*}); -score_INT6_mean=score_INT6_raw/INTi; -score_INT6_pro=round(score_INT6_mean*10,1); -end; -else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; -end; -array int_raw (4) int_raw_5-int_raw_8; -array int_pro (4) int_pro_5-int_pro_8; -array int_mean (4) int_avg_5-int_avg_8; - -do i=1 to 4; -if round_SDQ_age6=4+i then do; -int_raw(i)=score_INT6_raw; -int_pro(i)=score_INT6_pro; -int_mean(i)=score_INT6_mean; -end; -end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried? -PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,int_age_3,complete,final,,int_age_3=(b3-ddn_2021)/365.2422;, -PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle_CDM,outcome,int_pro_5,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT6_raw=sum(of INT{*}); -score_INT6_mean=score_INT6_raw/INTi; -score_INT6_pro=round(score_INT6_mean*10,1); -end; -else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; -end; -array int_raw (4) int_raw_5-int_raw_8; -array int_pro (4) int_pro_5-int_pro_8; -array int_mean (4) int_avg_5-int_avg_8; - -do i=1 to 4; -if round_SDQ_age6=4+i then do; -int_raw(i)=score_INT6_raw; -int_pro(i)=score_INT6_pro; -int_mean(i)=score_INT6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle_CDM,outcome,int_pro_6,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT6_raw=sum(of INT{*}); -score_INT6_mean=score_INT6_raw/INTi; -score_INT6_pro=round(score_INT6_mean*10,1); -end; -else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; -end; -array int_raw (4) int_raw_5-int_raw_8; -array int_pro (4) int_pro_5-int_pro_8; -array int_mean (4) int_avg_5-int_avg_8; - -do i=1 to 4; -if round_SDQ_age6=4+i then do; -int_raw(i)=score_INT6_raw; -int_pro(i)=score_INT6_pro; -int_mean(i)=score_INT6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,harmonized,AGGR_EVAL_5,,,ATHLETE_CDM,outcome_ath,aggr_eval_5,complete,final,,eval=2;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,hdlcage_155,complete,final,,hdlcage_155=age_exam_jour;, -PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle_CDM,outcome,int_pro_7,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT6_raw=sum(of INT{*}); -score_INT6_mean=score_INT6_raw/INTi; -score_INT6_pro=round(score_INT6_mean*10,1); -end; -else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; -end; -array int_raw (4) int_raw_5-int_raw_8; -array int_pro (4) int_pro_5-int_pro_8; -array int_mean (4) int_avg_5-int_avg_8; - -do i=1 to 4; -if round_SDQ_age6=4+i then do; -int_raw(i)=score_INT6_raw; -int_pro(i)=score_INT6_pro; -int_mean(i)=score_INT6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle_CDM,outcome,int_pro_8,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,int_age_5,complete,final,,int_age_5=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle_CDM,outcome,int_pro_11,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle_CDM,outcome,int_pro_12,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_prpa_lod_t1,complete,final,,BDD_phtalates_phenols$m_prpa_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.04, -PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle_CDM,outcome,int_pro_13,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle_CDM,outcome,int_pro_14,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end;", -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,int_age_6,complete,final,,int_age_6=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle_CDM,outcome,int_avg_1,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{3} b307 b313 b315; -INTi=N(of INT{*}); INTp=INTi/3; -if INTp>=0.75 then do; -score_INT2_raw=sum(of INT{*}); -score_INT2_mean=score_INT2_raw/INTi; -score_INT2_pro=round(score_INT2_mean*3,1); -end; -else do; score_INT2_raw=.; score_INT2_mean=.; score_INT2_pro=.; -end; -array int_raw (3) int_raw_1-int_raw_3; -array int_pro (3) int_pro_1-int_pro_3; -array int_mean (3) int_avg_1-int_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -int_raw(i)=score_INT2_raw; -int_pro(i)=score_INT2_pro; -int_mean(i)=score_INT2_mean; -end; -end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried? -PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle_CDM,outcome,int_avg_2,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{3} b307 b313 b315; -INTi=N(of INT{*}); INTp=INTi/3; -if INTp>=0.75 then do; -score_INT2_raw=sum(of INT{*}); -score_INT2_mean=score_INT2_raw/INTi; -score_INT2_pro=round(score_INT2_mean*3,1); -end; -else do; score_INT2_raw=.; score_INT2_mean=.; score_INT2_pro=.; -end; -array int_raw (3) int_raw_1-int_raw_3; -array int_pro (3) int_pro_1-int_pro_3; -array int_mean (3) int_avg_1-int_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -int_raw(i)=score_INT2_raw; -int_pro(i)=score_INT2_pro; -int_mean(i)=score_INT2_mean; -end; -end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried? -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,ext_age_8,complete,final,,ext_age_8=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_prpa_lod_t2,complete,final,,BDD_phtalates_phenols$m_prpa_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.04, -PELAGIE,pelagie_q2,"B307,B313,B315",,,LifeCycle_CDM,outcome,int_avg_3,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT6_raw=sum(of INT{*}); -score_INT6_mean=score_INT6_raw/INTi; -score_INT6_pro=round(score_INT6_mean*10,1); -end; -else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; -end; -array int_raw (4) int_raw_5-int_raw_8; -array int_pro (4) int_pro_5-int_pro_8; -array int_mean (4) int_avg_5-int_avg_8; - -do i=1 to 4; -if round_SDQ_age6=4+i then do; -int_raw(i)=score_INT6_raw; -int_pro(i)=score_INT6_pro; -int_mean(i)=score_INT6_mean; -end; -end;",Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried? -PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle_CDM,outcome,int_avg_5,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT6_raw=sum(of INT{*}); -score_INT6_mean=score_INT6_raw/INTi; -score_INT6_pro=round(score_INT6_mean*10,1); -end; -else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; -end; -array int_raw (4) int_raw_5-int_raw_8; -array int_pro (4) int_pro_5-int_pro_8; -array int_mean (4) int_avg_5-int_avg_8; - -do i=1 to 4; -if round_SDQ_age6=4+i then do; -int_raw(i)=score_INT6_raw; -int_pro(i)=score_INT6_pro; -int_mean(i)=score_INT6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,int_age_7,complete,final,,int_age_7=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle_CDM,outcome,int_avg_6,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT6_raw=sum(of INT{*}); -score_INT6_mean=score_INT6_raw/INTi; -score_INT6_pro=round(score_INT6_mean*10,1); -end; -else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; -end; -array int_raw (4) int_raw_5-int_raw_8; -array int_pro (4) int_pro_5-int_pro_8; -array int_mean (4) int_avg_5-int_avg_8; - -do i=1 to 4; -if round_SDQ_age6=4+i then do; -int_raw(i)=score_INT6_raw; -int_pro(i)=score_INT6_pro; -int_mean(i)=score_INT6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle_CDM,outcome,int_avg_7,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array INT{10} QE6_B15_3 QE6_B15_8 QE6_B15_13 QE6_B15_16 QE6_B15_24 QE6_B15_6 QE6_B15_11 QE6_B15_14 QE6_B15_19 QE6_B15_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT6_raw=sum(of INT{*}); -score_INT6_mean=score_INT6_raw/INTi; -score_INT6_pro=round(score_INT6_mean*10,1); -end; -else do; score_INT6_raw=.; score_INT6_mean=.; score_INT6_pro=.; -end; -array int_raw (4) int_raw_5-int_raw_8; -array int_pro (4) int_pro_5-int_pro_8; -array int_mean (4) int_avg_5-int_avg_8; - -do i=1 to 4; -if round_SDQ_age6=4+i then do; -int_raw(i)=score_INT6_raw; -int_pro(i)=score_INT6_pro; -int_mean(i)=score_INT6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle_CDM,outcome,subscapsfmes_148,complete,final,,subscapsfmes_148=0;, -PELAGIE,harmonized,INT_EVAL_12,,,LifeCycle_CDM,outcome,int_eval_12,complete,final,,eval=2;, -PELAGIE,pelagie_q6,"QE6_B15_3,QE6_B15_8,QE6_B15_13,QE6_B15_16,QE6_B15_24,QE6_B15_6,QE6_B15_11,QE6_B15_14,QE6_B15_19,QE6_B15_23",,,LifeCycle_CDM,outcome,int_avg_8,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle_CDM,outcome,int_avg_11,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,int_age_8,complete,final,,int_age_8=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle_CDM,outcome,int_avg_12,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle_CDM,outcome,int_avg_13,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,harmonized,C_DMTP_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_dmtp_lod_6,complete,final,,"BDD_OP$c_dmtp_lod_6<-ifelse(!is.na(BDD_OP$c_dmtp_raw_6y),0.32,NA)", -PELAGIE,pelagie_q12,"VQ_Q7_3,VQ_Q7_8,VQ_Q7_13,VQ_Q7_16,VQ_Q7_24,VQ_Q7_6,VQ_Q7_11,VQ_Q7_14,VQ_Q7_19,VQ_Q7_23",,,LifeCycle_CDM,outcome,int_avg_14,complete,final,,"array INT{10} VQ_Q7_3 VQ_Q7_8 VQ_Q7_13 VQ_Q7_16 VQ_Q7_24 VQ_Q7_6 VQ_Q7_11 VQ_Q7_14 VQ_Q7_19 VQ_Q7_23; -INTi=N(of INT{*}); INTp=INTi/10; -if INTp>=0.75 then do; -score_INT12_raw=sum(of INT{*}); -score_INT12_mean=score_INT12_raw/INTi; -score_INT12_pro=round(score_INT12_mean*10,1); -end; -else do; score_INT12_raw=.; score_INT12_mean=.; score_INT12_pro=.; -end; -array int_raw (4) int_raw_11-int_raw_14; -array int_pro (4) int_pro_11-int_pro_14; -array int_mean (4) int_avg_11-int_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -int_raw(i)=score_INT12_raw; -int_pro(i)=score_INT12_pro; -int_mean(i)=score_INT12_mean; -end; -end;", -PELAGIE,harmonized,INT_PRO_1,,,LifeCycle_CDM,outcome,int_pc_1,partial,final,"Percentile variables were generated only for years where information on prorated score was available for more than 10 children - -Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?","CPT2$int_pc_1<-xtile(CPT2$int_pro_1, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children - -Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?" -PELAGIE,harmonized,INT_INSTR_8,,,LifeCycle_CDM,outcome,int_instr_8,complete,final,,instr=47;, -PELAGIE,harmonized,INT_PRO_2,,,LifeCycle_CDM,outcome,int_pc_2,partial,final,"Percentile variables were generated only for years where information on prorated score was available for more than 10 children - -Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?","CPT2$int_pc_2<-xtile(CPT2$int_pro_2, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children - -Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?" -PELAGIE,harmonized,INT_PRO_5,,,LifeCycle_CDM,outcome,int_pc_5,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$int_pc_5<-xtile(SDQ6$int_pro_5, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,harmonized,INT_PRO_6,,,LifeCycle_CDM,outcome,int_pc_6,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$int_pc_6<-xtile(SDQ6$int_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,BDD_pop,PCB138,,,ATHLETE_CDM,chemicals_ath,c_pcb138_raw_birth,partial,final,from cord blood,BDD_pop$c_pcb138_raw_birth<-BDD_pop$PCB138*943.4,from cord blood -PELAGIE,harmonized,INT_INSTR_1,,,LifeCycle_CDM,outcome,int_instr_1,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,instr=13;,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried? -PELAGIE,harmonized,INT_INSTR_2,,,LifeCycle_CDM,outcome,int_instr_2,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,instr=13;,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried? -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_162,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,EXT_PRO_13,,,LifeCycle_CDM,outcome,ext_pc_13,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ12$ext_pc_13<-xtile(SDQ12$ext_pro_13, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,BDD_phtalates_phenols,"BUPA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_bupa_raw_t1,complete,final,,BDD_phtalates_phenols$m_bupa_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$BUPA, -PELAGIE,harmonized,INT_INSTR_3,,,LifeCycle_CDM,outcome,int_instr_3,partial,final,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried?,instr=13;,Partial CBCL scale: (1) how often would you say your child has seemed unhappy or sad? (2) how often would you say that your child has been overly fearful or anxious? (3) how often would you say your child has been worried? -PELAGIE,harmonized,INT_INSTR_5,,,LifeCycle_CDM,outcome,int_instr_5,complete,final,,instr=47;, -PELAGIE,harmonized,INT_INSTR_6,,,LifeCycle_CDM,outcome,int_instr_6,complete,final,,instr=47;, -PELAGIE,harmonized,INT_INSTR_7,,,LifeCycle_CDM,outcome,int_instr_7,complete,final,,instr=47;, -PELAGIE,harmonized,INT_EVAL_8,,,LifeCycle_CDM,outcome,int_eval_8,complete,final,,eval=2;, -PELAGIE,harmonized,INT_EVAL_11,,,LifeCycle_CDM,outcome,int_eval_11,complete,final,,eval=2;, -PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,wm_age_6,complete,final,,wm_age_6=(date_RDV-ddn_2021)/365.2422;, -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320,B319,B308,B317,B306,B310,B314",,,LifeCycle_CDM,outcome,ext_raw_1,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?","array EXT{12} b304 b309 b311 b312 b316 b320 b319 b308 b317 b306 b310 b314; -EXTi=N(of EXT{*}); EXTp=EXTi/12; -if EXTp>=0.75 then do; -score_EXT2_raw=sum(of EXT{*}); -score_EXT2_mean=score_EXT2_raw/EXTi; -score_EXT2_pro=round(score_EXT2_mean*12,1); -end; -else do; score_EXT2_raw=.; score_EXT2_mean=.; score_EXT2_pro=.; -end; -array ext_raw (3) ext_raw_1-ext_raw_3; -array ext_pro (3) ext_pro_1-ext_pro_3; -array ext_mean (3) ext_avg_1-ext_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -ext_raw(i)=score_ext2_raw; -ext_pro(i)=score_ext2_pro; -ext_mean(i)=score_ext2_mean; -end; -end;","Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,harmonized,EXT_PRO_7,,,LifeCycle_CDM,outcome,ext_pc_7,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$ext_pc_7<-xtile(SDQ6$ext_pro_7, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_163,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,NVI_PRO_6,,,LifeCycle_CDM,outcome,nvi_pc_6,partial,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"WISC$nvi_pc_6<-xtile(WISC$nvi_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320,B319,B308,B317,B306,B310,B314",,,LifeCycle_CDM,outcome,ext_raw_2,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?","array EXT{12} b304 b309 b311 b312 b316 b320 b319 b308 b317 b306 b310 b314; -EXTi=N(of EXT{*}); EXTp=EXTi/12; -if EXTp>=0.75 then do; -score_EXT2_raw=sum(of EXT{*}); -score_EXT2_mean=score_EXT2_raw/EXTi; -score_EXT2_pro=round(score_EXT2_mean*12,1); -end; -else do; score_EXT2_raw=.; score_EXT2_mean=.; score_EXT2_pro=.; -end; -array ext_raw (3) ext_raw_1-ext_raw_3; -array ext_pro (3) ext_pro_1-ext_pro_3; -array ext_mean (3) ext_avg_1-ext_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -ext_raw(i)=score_ext2_raw; -ext_pro(i)=score_ext2_pro; -ext_mean(i)=score_ext2_mean; -end; -end;","Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320,B319,B308,B317,B306,B310,B314",,,LifeCycle_CDM,outcome,ext_raw_3,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?","array EXT{12} b304 b309 b311 b312 b316 b320 b319 b308 b317 b306 b310 b314; -EXTi=N(of EXT{*}); EXTp=EXTi/12; -if EXTp>=0.75 then do; -score_EXT2_raw=sum(of EXT{*}); -score_EXT2_mean=score_EXT2_raw/EXTi; -score_EXT2_pro=round(score_EXT2_mean*12,1); -end; -else do; score_EXT2_raw=.; score_EXT2_mean=.; score_EXT2_pro=.; -end; -array ext_raw (3) ext_raw_1-ext_raw_3; -array ext_pro (3) ext_pro_1-ext_pro_3; -array ext_mean (3) ext_avg_1-ext_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -ext_raw(i)=score_ext2_raw; -ext_pro(i)=score_ext2_pro; -ext_mean(i)=score_ext2_mean; -end; -end;","Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,ext_age_14,complete,final,,ext_age_14=(DATE-ddn_2021)/365.2422;, -PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle_CDM,outcome,hipcircmes_156,complete,final,,hipcircmes_156=0;, -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,ext_raw_5,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT6_raw=sum(of EXT{*}); -score_EXT6_mean=score_EXT6_raw/EXTi; -score_EXT6_pro=round(score_EXT6_mean*10,1); -end; -else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; -end; -array ext_raw (4) ext_raw_5-ext_raw_8; -array ext_pro (4) ext_pro_5-ext_pro_8; -array ext_mean (4) ext_avg_5-ext_avg_8; -do i=1 to 3; -if round_SDQ_age6=i+4 then do; -ext_raw(i)=score_ext6_raw; -ext_pro(i)=score_ext6_pro; -ext_mean(i)=score_ext6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,ext_raw_6,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT6_raw=sum(of EXT{*}); -score_EXT6_mean=score_EXT6_raw/EXTi; -score_EXT6_pro=round(score_EXT6_mean*10,1); -end; -else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; -end; -array ext_raw (4) ext_raw_5-ext_raw_8; -array ext_pro (4) ext_pro_5-ext_pro_8; -array ext_mean (4) ext_avg_5-ext_avg_8; -do i=1 to 3; -if round_SDQ_age6=i+4 then do; -ext_raw(i)=score_ext6_raw; -ext_pro(i)=score_ext6_pro; -ext_mean(i)=score_ext6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,harmonized,ATT_COM_STD_6,,,ATHLETE_CDM,outcome_ath,att_com_pc_6,partial,final,,"ATT$att_com_pc_6<-xtile(ATT$att_com_std_6, n=100)",Percentile variables were generated only for years where information on standardized score was available for more than 10 children -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,ext_raw_7,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT6_raw=sum(of EXT{*}); -score_EXT6_mean=score_EXT6_raw/EXTi; -score_EXT6_pro=round(score_EXT6_mean*10,1); -end; -else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; -end; -array ext_raw (4) ext_raw_5-ext_raw_8; -array ext_pro (4) ext_pro_5-ext_pro_8; -array ext_mean (4) ext_avg_5-ext_avg_8; -do i=1 to 3; -if round_SDQ_age6=i+4 then do; -ext_raw(i)=score_ext6_raw; -ext_pro(i)=score_ext6_pro; -ext_mean(i)=score_ext6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,harmonized,EXT_INSTR_12,,,LifeCycle_CDM,outcome,ext_instr_12,complete,final,,instr=47;, -PELAGIE,harmonized,EXT_INSTR_13,,,LifeCycle_CDM,outcome,ext_instr_13,complete,final,,instr=47;, -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle_CDM,outcome,ext_raw_13,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT12_raw=sum(of EXT{*}); -score_EXT12_mean=score_EXT12_raw/EXTi; -score_EXT12_pro=round(score_EXT12_mean*10,1); -end; -else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; -end; -array ext_raw (4) ext_raw_11-ext_raw_14; -array ext_pro (4) ext_pro_11-ext_pro_14; -array ext_mean (4) ext_avg_11-ext_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -ext_raw(i)=score_ext12_raw; -ext_pro(i)=score_ext12_pro; -ext_mean(i)=score_ext12_mean; -end; -end;", -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,ext_raw_8,complete,final,,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT6_raw=sum(of EXT{*}); -score_EXT6_mean=score_EXT6_raw/EXTi; -score_EXT6_pro=round(score_EXT6_mean*10,1); -end; -else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; -end; -array ext_raw (4) ext_raw_5-ext_raw_8; -array ext_pro (4) ext_pro_5-ext_pro_8; -array ext_mean (4) ext_avg_5-ext_avg_8; -do i=1 to 3; -if round_SDQ_age6=i+4 then do; -ext_raw(i)=score_ext6_raw; -ext_pro(i)=score_ext6_pro; -ext_mean(i)=score_ext6_mean; -end; -end;", -PELAGIE,harmonized,EXT_EVAL_1,,,LifeCycle_CDM,outcome,ext_eval_1,complete,final,,eval=2;, -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle_CDM,outcome,ext_raw_11,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT12_raw=sum(of EXT{*}); -score_EXT12_mean=score_EXT12_raw/EXTi; -score_EXT12_pro=round(score_EXT12_mean*10,1); -end; -else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; -end; -array ext_raw (4) ext_raw_11-ext_raw_14; -array ext_pro (4) ext_pro_11-ext_pro_14; -array ext_mean (4) ext_avg_11-ext_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -ext_raw(i)=score_ext12_raw; -ext_pro(i)=score_ext12_pro; -ext_mean(i)=score_ext12_mean; -end; -end;", -PELAGIE,harmonized,EXT_PRO_5,,,LifeCycle_CDM,outcome,ext_pc_5,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$ext_pc_5<-xtile(SDQ6$ext_pro_5, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,harmonized,SUBSCAPSFMES_0,,,LifeCycle_CDM,outcome,subscapsfmes_149,complete,final,,subscapsfmes_149=0;, -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_149,complete,final,,biomes_149=0;, -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle_CDM,outcome,ext_raw_12,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT12_raw=sum(of EXT{*}); -score_EXT12_mean=score_EXT12_raw/EXTi; -score_EXT12_pro=round(score_EXT12_mean*10,1); -end; -else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; -end; -array ext_raw (4) ext_raw_11-ext_raw_14; -array ext_pro (4) ext_pro_11-ext_pro_14; -array ext_mean (4) ext_avg_11-ext_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -ext_raw(i)=score_ext12_raw; -ext_pro(i)=score_ext12_pro; -ext_mean(i)=score_ext12_mean; -end; -end;", -PELAGIE,harmonized,EXT_INSTR_14,,,LifeCycle_CDM,outcome,ext_instr_14,complete,final,,instr=47;, -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle_CDM,outcome,ext_raw_14,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT12_raw=sum(of EXT{*}); -score_EXT12_mean=score_EXT12_raw/EXTi; -score_EXT12_pro=round(score_EXT12_mean*10,1); -end; -else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; -end; -array ext_raw (4) ext_raw_11-ext_raw_14; -array ext_pro (4) ext_pro_11-ext_pro_14; -array ext_mean (4) ext_avg_11-ext_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -ext_raw(i)=score_ext12_raw; -ext_pro(i)=score_ext12_pro; -ext_mean(i)=score_ext12_mean; -end; -end;", -PELAGIE,harmonized,EXT_EVAL_2,,,LifeCycle_CDM,outcome,ext_eval_2,complete,final,,eval=2;, -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320,B319,B308,B317,B306,B310,B314",,,LifeCycle_CDM,outcome,ext_pro_1,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?","array EXT{12} b304 b309 b311 b312 b316 b320 b319 b308 b317 b306 b310 b314; -EXTi=N(of EXT{*}); EXTp=EXTi/12; -if EXTp>=0.75 then do; -score_EXT2_raw=sum(of EXT{*}); -score_EXT2_mean=score_EXT2_raw/EXTi; -score_EXT2_pro=round(score_EXT2_mean*12,1); -end; -else do; score_EXT2_raw=.; score_EXT2_mean=.; score_EXT2_pro=.; -end; -array ext_raw (3) ext_raw_1-ext_raw_3; -array ext_pro (3) ext_pro_1-ext_pro_3; -array ext_mean (3) ext_avg_1-ext_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -ext_raw(i)=score_ext2_raw; -ext_pro(i)=score_ext2_pro; -ext_mean(i)=score_ext2_mean; -end; -end;","Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,BDD_pop,PPDDE,,,ATHLETE_CDM,chemicals_ath,c_dde_raw_birth,partial,final,from cord blood,BDD_pop$c_dde_raw_birth<-BDD_pop$ppDDE*943.4,from cord blood -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320,B319,B308,B317,B306,B310,B314",,,LifeCycle_CDM,outcome,ext_pro_2,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?","array EXT{12} b304 b309 b311 b312 b316 b320 b319 b308 b317 b306 b310 b314; -EXTi=N(of EXT{*}); EXTp=EXTi/12; -if EXTp>=0.75 then do; -score_EXT2_raw=sum(of EXT{*}); -score_EXT2_mean=score_EXT2_raw/EXTi; -score_EXT2_pro=round(score_EXT2_mean*12,1); -end; -else do; score_EXT2_raw=.; score_EXT2_mean=.; score_EXT2_pro=.; -end; -array ext_raw (3) ext_raw_1-ext_raw_3; -array ext_pro (3) ext_pro_1-ext_pro_3; -array ext_mean (3) ext_avg_1-ext_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -ext_raw(i)=score_ext2_raw; -ext_pro(i)=score_ext2_pro; -ext_mean(i)=score_ext2_mean; -end; -end;","Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320,B319,B308,B317,B306,B310,B314",,,LifeCycle_CDM,outcome,ext_pro_3,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?","array EXT{12} b304 b309 b311 b312 b316 b320 b319 b308 b317 b306 b310 b314; -EXTi=N(of EXT{*}); EXTp=EXTi/12; -if EXTp>=0.75 then do; -score_EXT2_raw=sum(of EXT{*}); -score_EXT2_mean=score_EXT2_raw/EXTi; -score_EXT2_pro=round(score_EXT2_mean*12,1); -end; -else do; score_EXT2_raw=.; score_EXT2_mean=.; score_EXT2_pro=.; -end; -array ext_raw (3) ext_raw_1-ext_raw_3; -array ext_pro (3) ext_pro_1-ext_pro_3; -array ext_mean (3) ext_avg_1-ext_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -ext_raw(i)=score_ext2_raw; -ext_pro(i)=score_ext2_pro; -ext_mean(i)=score_ext2_mean; -end; -end;","Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,harmonized,EXT_EVAL_7,,,LifeCycle_CDM,outcome,ext_eval_7,complete,final,,eval=2;, -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,ext_pro_5,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT6_raw=sum(of EXT{*}); -score_EXT6_mean=score_EXT6_raw/EXTi; -score_EXT6_pro=round(score_EXT6_mean*10,1); -end; -else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; -end; -array ext_raw (4) ext_raw_5-ext_raw_8; -array ext_pro (4) ext_pro_5-ext_pro_8; -array ext_mean (4) ext_avg_5-ext_avg_8; -do i=1 to 3; -if round_SDQ_age6=i+4 then do; -ext_raw(i)=score_ext6_raw; -ext_pro(i)=score_ext6_pro; -ext_mean(i)=score_ext6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,harmonized,EXT_PRO_6,,,LifeCycle_CDM,outcome,ext_pc_6,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$ext_pc_6<-xtile(SDQ6$ext_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,harmonized,EXT_PRO_12,,,LifeCycle_CDM,outcome,ext_pc_12,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ12$ext_pc_12<-xtile(SDQ12$ext_pro_12, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -SPF,SPF,,,,OOM_CDM,MEDICINES,presc_quantity_per_day,complete,,,, -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,ext_pro_6,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT6_raw=sum(of EXT{*}); -score_EXT6_mean=score_EXT6_raw/EXTi; -score_EXT6_pro=round(score_EXT6_mean*10,1); -end; -else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; -end; -array ext_raw (4) ext_raw_5-ext_raw_8; -array ext_pro (4) ext_pro_5-ext_pro_8; -array ext_mean (4) ext_avg_5-ext_avg_8; -do i=1 to 3; -if round_SDQ_age6=i+4 then do; -ext_raw(i)=score_ext6_raw; -ext_pro(i)=score_ext6_pro; -ext_mean(i)=score_ext6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,ext_pro_7,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT6_raw=sum(of EXT{*}); -score_EXT6_mean=score_EXT6_raw/EXTi; -score_EXT6_pro=round(score_EXT6_mean*10,1); -end; -else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; -end; -array ext_raw (4) ext_raw_5-ext_raw_8; -array ext_pro (4) ext_pro_5-ext_pro_8; -array ext_mean (4) ext_avg_5-ext_avg_8; -do i=1 to 3; -if round_SDQ_age6=i+4 then do; -ext_raw(i)=score_ext6_raw; -ext_pro(i)=score_ext6_pro; -ext_mean(i)=score_ext6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,aggr_age_1,complete,final,,aggr_age_1=(b3-ddn_2021)/365.2422;, -PELAGIE,harmonized,NVI_INSTR_6,,,LifeCycle_CDM,outcome,nvi_instr_6,partial,final,Only 1 task : Cubes to assess Perceptive Reasoning,nvi_instr_6=57;,Only 1 task : Cubes to assess Perceptive Reasoning -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,ext_pro_8,complete,final,,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT6_raw=sum(of EXT{*}); -score_EXT6_mean=score_EXT6_raw/EXTi; -score_EXT6_pro=round(score_EXT6_mean*10,1); -end; -else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; -end; -array ext_raw (4) ext_raw_5-ext_raw_8; -array ext_pro (4) ext_pro_5-ext_pro_8; -array ext_mean (4) ext_avg_5-ext_avg_8; -do i=1 to 3; -if round_SDQ_age6=i+4 then do; -ext_raw(i)=score_ext6_raw; -ext_pro(i)=score_ext6_pro; -ext_mean(i)=score_ext6_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle_CDM,outcome,ext_pro_11,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT12_raw=sum(of EXT{*}); -score_EXT12_mean=score_EXT12_raw/EXTi; -score_EXT12_pro=round(score_EXT12_mean*10,1); -end; -else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; -end; -array ext_raw (4) ext_raw_11-ext_raw_14; -array ext_pro (4) ext_pro_11-ext_pro_14; -array ext_mean (4) ext_avg_11-ext_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -ext_raw(i)=score_ext12_raw; -ext_pro(i)=score_ext12_pro; -ext_mean(i)=score_ext12_mean; -end; -end;", -PELAGIE,harmonized,EXT_EVAL_3,,,LifeCycle_CDM,outcome,ext_eval_3,complete,final,,eval=2;, -PELAGIE,harmonized,AGGR_EVAL_6,,,ATHLETE_CDM,outcome_ath,aggr_eval_6,complete,final,,eval=2;, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_cxminp_lod_t2,complete,final,,BDD_phtalates_phenols$m_cxminp_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.70, -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle_CDM,outcome,ext_pro_12,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT12_raw=sum(of EXT{*}); -score_EXT12_mean=score_EXT12_raw/EXTi; -score_EXT12_pro=round(score_EXT12_mean*10,1); -end; -else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; -end; -array ext_raw (4) ext_raw_11-ext_raw_14; -array ext_pro (4) ext_pro_11-ext_pro_14; -array ext_mean (4) ext_avg_11-ext_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -ext_raw(i)=score_ext12_raw; -ext_pro(i)=score_ext12_pro; -ext_mean(i)=score_ext12_mean; -end; -end;", -PELAGIE,harmonized,AGGR_INSTR_1,,,ATHLETE_CDM,outcome_ath,aggr_instr_1,partial,final,,instr=13;,"Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle_CDM,outcome,ext_pro_13,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT12_raw=sum(of EXT{*}); -score_EXT12_mean=score_EXT12_raw/EXTi; -score_EXT12_pro=round(score_EXT12_mean*10,1); -end; -else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; -end; -array ext_raw (4) ext_raw_11-ext_raw_14; -array ext_pro (4) ext_pro_11-ext_pro_14; -array ext_mean (4) ext_avg_11-ext_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -ext_raw(i)=score_ext12_raw; -ext_pro(i)=score_ext12_pro; -ext_mean(i)=score_ext12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle_CDM,outcome,ext_pro_14,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT12_raw=sum(of EXT{*}); -score_EXT12_mean=score_EXT12_raw/EXTi; -score_EXT12_pro=round(score_EXT12_mean*10,1); -end; -else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; -end; -array ext_raw (4) ext_raw_11-ext_raw_14; -array ext_pro (4) ext_pro_11-ext_pro_14; -array ext_mean (4) ext_avg_11-ext_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -ext_raw(i)=score_ext12_raw; -ext_pro(i)=score_ext12_pro; -ext_mean(i)=score_ext12_mean; -end; -end;", -PELAGIE,harmonized,EXT_EVAL_8,,,LifeCycle_CDM,outcome,ext_eval_8,complete,final,,eval=2;, -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320,B319,B308,B317,B306,B310,B314",,,LifeCycle_CDM,outcome,ext_avg_1,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?","array EXT{12} b304 b309 b311 b312 b316 b320 b319 b308 b317 b306 b310 b314; -EXTi=N(of EXT{*}); EXTp=EXTi/12; -if EXTp>=0.75 then do; -score_EXT2_raw=sum(of EXT{*}); -score_EXT2_mean=score_EXT2_raw/EXTi; -score_EXT2_pro=round(score_EXT2_mean*12,1); -end; -else do; score_EXT2_raw=.; score_EXT2_mean=.; score_EXT2_pro=.; -end; -array ext_raw (3) ext_raw_1-ext_raw_3; -array ext_pro (3) ext_pro_1-ext_pro_3; -array ext_mean (3) ext_avg_1-ext_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -ext_raw(i)=score_ext2_raw; -ext_pro(i)=score_ext2_pro; -ext_mean(i)=score_ext2_mean; -end; -end;","Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,harmonized,EXT_EVAL_5,,,LifeCycle_CDM,outcome,ext_eval_5,complete,final,,eval=2;, -PELAGIE,BDD_pop,BETAHCH,,,ATHLETE_CDM,chemicals_ath,c_hch_raw_birth,partial,final,from cord blood,BDD_pop$c_hch_raw_birth<-BDD_pop$betaHCH*943.4,from cord blood -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320,B319,B308,B317,B306,B310,B314",,,LifeCycle_CDM,outcome,ext_avg_2,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?","array EXT{12} b304 b309 b311 b312 b316 b320 b319 b308 b317 b306 b310 b314; -EXTi=N(of EXT{*}); EXTp=EXTi/12; -if EXTp>=0.75 then do; -score_EXT2_raw=sum(of EXT{*}); -score_EXT2_mean=score_EXT2_raw/EXTi; -score_EXT2_pro=round(score_EXT2_mean*12,1); -end; -else do; score_EXT2_raw=.; score_EXT2_mean=.; score_EXT2_pro=.; -end; -array ext_raw (3) ext_raw_1-ext_raw_3; -array ext_pro (3) ext_pro_1-ext_pro_3; -array ext_mean (3) ext_avg_1-ext_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -ext_raw(i)=score_ext2_raw; -ext_pro(i)=score_ext2_pro; -ext_mean(i)=score_ext2_mean; -end; -end;","Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320,B319,B308,B317,B306,B310,B314",,,LifeCycle_CDM,outcome,ext_avg_3,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?","array EXT{12} b304 b309 b311 b312 b316 b320 b319 b308 b317 b306 b310 b314; -EXTi=N(of EXT{*}); EXTp=EXTi/12; -if EXTp>=0.75 then do; -score_EXT2_raw=sum(of EXT{*}); -score_EXT2_mean=score_EXT2_raw/EXTi; -score_EXT2_pro=round(score_EXT2_mean*12,1); -end; -else do; score_EXT2_raw=.; score_EXT2_mean=.; score_EXT2_pro=.; -end; -array ext_raw (3) ext_raw_1-ext_raw_3; -array ext_pro (3) ext_pro_1-ext_pro_3; -array ext_mean (3) ext_avg_1-ext_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -ext_raw(i)=score_ext2_raw; -ext_pro(i)=score_ext2_pro; -ext_mean(i)=score_ext2_mean; -end; -end;","Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,ext_avg_5,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT6_raw=sum(of EXT{*}); -score_EXT6_mean=score_EXT6_raw/EXTi; -score_EXT6_pro=round(score_EXT6_mean*10,1); -end; -else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; -end; -array ext_raw (4) ext_raw_5-ext_raw_8; -array ext_pro (4) ext_pro_5-ext_pro_8; -array ext_mean (4) ext_avg_5-ext_avg_8; -do i=1 to 3; -if round_SDQ_age6=i+4 then do; -ext_raw(i)=score_ext6_raw; -ext_pro(i)=score_ext6_pro; -ext_mean(i)=score_ext6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,harmonized,EXT_EVAL_11,,,LifeCycle_CDM,outcome,ext_eval_11,complete,final,,eval=2;, -PELAGIE,harmonized,EXT_EVAL_12,,,LifeCycle_CDM,outcome,ext_eval_12,complete,final,,eval=2;, -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,ext_avg_6,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT6_raw=sum(of EXT{*}); -score_EXT6_mean=score_EXT6_raw/EXTi; -score_EXT6_pro=round(score_EXT6_mean*10,1); -end; -else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; -end; -array ext_raw (4) ext_raw_5-ext_raw_8; -array ext_pro (4) ext_pro_5-ext_pro_8; -array ext_mean (4) ext_avg_5-ext_avg_8; -do i=1 to 3; -if round_SDQ_age6=i+4 then do; -ext_raw(i)=score_ext6_raw; -ext_pro(i)=score_ext6_pro; -ext_mean(i)=score_ext6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,harmonized,AGGR_EVAL_7,,,ATHLETE_CDM,outcome_ath,aggr_eval_7,complete,final,,eval=2;, -PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle_CDM,outcome,hipcircmes_157,complete,final,,hipcircmes_157=0;, -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,ext_avg_7,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT6_raw=sum(of EXT{*}); -score_EXT6_mean=score_EXT6_raw/EXTi; -score_EXT6_pro=round(score_EXT6_mean*10,1); -end; -else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; -end; -array ext_raw (4) ext_raw_5-ext_raw_8; -array ext_pro (4) ext_pro_5-ext_pro_8; -array ext_mean (4) ext_avg_5-ext_avg_8; -do i=1 to 3; -if round_SDQ_age6=i+4 then do; -ext_raw(i)=score_ext6_raw; -ext_pro(i)=score_ext6_pro; -ext_mean(i)=score_ext6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,ext_avg_8,complete,final,,"array EXT{10} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25 QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT6_raw=sum(of EXT{*}); -score_EXT6_mean=score_EXT6_raw/EXTi; -score_EXT6_pro=round(score_EXT6_mean*10,1); -end; -else do; score_EXT6_raw=.; score_EXT6_mean=.; score_EXT6_pro=.; -end; -array ext_raw (4) ext_raw_5-ext_raw_8; -array ext_pro (4) ext_pro_5-ext_pro_8; -array ext_mean (4) ext_avg_5-ext_avg_8; -do i=1 to 3; -if round_SDQ_age6=i+4 then do; -ext_raw(i)=score_ext6_raw; -ext_pro(i)=score_ext6_pro; -ext_mean(i)=score_ext6_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle_CDM,outcome,ext_avg_11,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT12_raw=sum(of EXT{*}); -score_EXT12_mean=score_EXT12_raw/EXTi; -score_EXT12_pro=round(score_EXT12_mean*10,1); -end; -else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; -end; -array ext_raw (4) ext_raw_11-ext_raw_14; -array ext_pro (4) ext_pro_11-ext_pro_14; -array ext_mean (4) ext_avg_11-ext_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -ext_raw(i)=score_ext12_raw; -ext_pro(i)=score_ext12_pro; -ext_mean(i)=score_ext12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle_CDM,outcome,ext_avg_12,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT12_raw=sum(of EXT{*}); -score_EXT12_mean=score_EXT12_raw/EXTi; -score_EXT12_pro=round(score_EXT12_mean*10,1); -end; -else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; -end; -array ext_raw (4) ext_raw_11-ext_raw_14; -array ext_pro (4) ext_pro_11-ext_pro_14; -array ext_mean (4) ext_avg_11-ext_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -ext_raw(i)=score_ext12_raw; -ext_pro(i)=score_ext12_pro; -ext_mean(i)=score_ext12_mean; -end; -end;", -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,ext_age_13,complete,final,,ext_age_13=(DATE-ddn_2021)/365.2422;, -PELAGIE,BDD_phtalates_phenols,"BUPA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_bupa_raw_t2,complete,final,,BDD_phtalates_phenols$m_bupa_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$BUPA, -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle_CDM,outcome,adhd_raw_12,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY12_raw=sum(of HY{*}); -score_HY12_mean=score_HY12_raw/HYi; -score_HY12_pro=round(score_HY12_mean*5,1); -end; -else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; -end; - -array adhd_raw (4) adhd_raw_11-adhd_raw_14; -array adhd_pro (4) adhd_pro_11-adhd_pro_14; -array adhd_mean (4) adhd_avg_11-adhd_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -adhd_raw(i)=score_HY12_raw; -adhd_pro(i)=score_HY12_pro; -adhd_mean(i)=score_HY12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle_CDM,outcome,ext_avg_13,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT12_raw=sum(of EXT{*}); -score_EXT12_mean=score_EXT12_raw/EXTi; -score_EXT12_pro=round(score_EXT12_mean*10,1); -end; -else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; -end; -array ext_raw (4) ext_raw_11-ext_raw_14; -array ext_pro (4) ext_pro_11-ext_pro_14; -array ext_mean (4) ext_avg_11-ext_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -ext_raw(i)=score_ext12_raw; -ext_pro(i)=score_ext12_pro; -ext_mean(i)=score_ext12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25,VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,LifeCycle_CDM,outcome,ext_avg_14,complete,final,,"array EXT{10} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25 VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -EXTi=N(of EXT{*}); EXTp=EXTi/10; -if EXTp>=0.75 then do; -score_EXT12_raw=sum(of EXT{*}); -score_EXT12_mean=score_EXT12_raw/EXTi; -score_EXT12_pro=round(score_EXT12_mean*10,1); -end; -else do; score_EXT12_raw=.; score_EXT12_mean=.; score_EXT12_pro=.; -end; -array ext_raw (4) ext_raw_11-ext_raw_14; -array ext_pro (4) ext_pro_11-ext_pro_14; -array ext_mean (4) ext_avg_11-ext_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -ext_raw(i)=score_ext12_raw; -ext_pro(i)=score_ext12_pro; -ext_mean(i)=score_ext12_mean; -end; -end;", -PELAGIE,harmonized,EXT_PRO_1,,,LifeCycle_CDM,outcome,ext_pc_1,partial,final,"Percentile variables were generated only for years where information on prorated score was available for more than 10 children. - -Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?","CPT2$ext_pc_1<-xtile(CPT2$ext_pro_1, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children. - -Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,harmonized,EXT_EVAL_13,,,LifeCycle_CDM,outcome,ext_eval_13,complete,final,,eval=2;, -PELAGIE,harmonized,EXT_PRO_2,,,LifeCycle_CDM,outcome,ext_pc_2,partial,final,"Percentile variables were generated only for years where information on prorated score was available for more than 10 children - -Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?","CPT2$ext_pc_2<-xtile(CPT2$ext_pro_2, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children - -Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,harmonized,ADHD_INSTR_12,,,LifeCycle_CDM,outcome,adhd_instr_12,complete,final,,instr=47;, -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_146,complete,final,,biomes_146=0;, -PELAGIE,BDD_OP,CHILDDMDTP,,,ATHLETE_CDM,chemicals_ath,c_dmdtp_raw_6,complete,final,,BDD_OP$c_dmdtp_raw_6<-BDD_OP$CHILDDMDTP, -PELAGIE,harmonized,EXT_INSTR_1,,,LifeCycle_CDM,outcome,ext_instr_1,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?",instr=13;,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,harmonized,AGGR_EVAL_12,,,ATHLETE_CDM,outcome_ath,aggr_eval_12,complete,final,,eval=2;, -PELAGIE,pepsy,WISCC,,,LifeCycle_CDM,outcome,nvi_raw_5,partial,final,Only the CUBES task to assess perceptive reasoning,"array NV{1} WISCc; NVi=N(of NV{*}); NVp=NVi/1; if NVp>=0.75 then do; -NV12_raw=sum(of NV{*}); -NV12_mean=NV12_raw/NVi; -NV12_pro=round(NV12_mean*1,1); -end;",Only the CUBES task to assess perceptive reasoning -PELAGIE,harmonized,EXT_INSTR_2,,,LifeCycle_CDM,outcome,ext_instr_2,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?",instr=13;,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,harmonized,EXT_INSTR_3,,,LifeCycle_CDM,outcome,ext_instr_3,partial,final,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?",instr=13;,"Partial CBCL scale: (1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child has been rebellious or refused to obey? -(3) how often would you say your child has been in a fight? -(4) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(5) how often would you say that your child did not seem to feel remorse after misbehaving? -(6) how often would you say your child has constantly fidgeted? -(7) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(8) how often would you say that your child has not changed their behaviour after being punished? -(9) how often would you say that your child has had difficulty waiting for their turn in a game? -(10) how often would you say your child has physically attacked others? -(11) how often would you say that your child has hit, bitten or kicked other children? -(12) how often would you say your child has been inattentive/distracted?" -PELAGIE,harmonized,EXT_INSTR_5,,,LifeCycle_CDM,outcome,ext_instr_5,complete,final,,instr=47;, -AP,AP,iduni,,,OOM_CDM,MEDICAL_OBSERVATIONS,person_id,complete,,,, -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle_CDM,outcome,triglyceridesmes_149,complete,final,,triglyceridesmes_149=0;, -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,adhd_raw_5,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY6_raw=sum(of HY{*}); -score_HY6_mean=score_HY6_raw/HYi; -score_HY6_pro=round(score_HY6_mean*5,1); -end; -else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; -end; -array adhd_raw (4) adhd_raw_5-adhd_raw_8; -array adhd_pro (4) adhd_pro_5-adhd_pro_8; -array adhd_mean (4) adhd_avg_5-adhd_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -adhd_raw(i)=score_HY6_raw; -adhd_pro(i)=score_HY6_pro; -adhd_mean(i)=score_HY6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,adhd_raw_6,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY6_raw=sum(of HY{*}); -score_HY6_mean=score_HY6_raw/HYi; -score_HY6_pro=round(score_HY6_mean*5,1); -end; -else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; -end; -array adhd_raw (4) adhd_raw_5-adhd_raw_8; -array adhd_pro (4) adhd_pro_5-adhd_pro_8; -array adhd_mean (4) adhd_avg_5-adhd_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -adhd_raw(i)=score_HY6_raw; -adhd_pro(i)=score_HY6_pro; -adhd_mean(i)=score_HY6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,adhd_raw_7,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY6_raw=sum(of HY{*}); -score_HY6_mean=score_HY6_raw/HYi; -score_HY6_pro=round(score_HY6_mean*5,1); -end; -else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; -end; -array adhd_raw (4) adhd_raw_5-adhd_raw_8; -array adhd_pro (4) adhd_pro_5-adhd_pro_8; -array adhd_mean (4) adhd_avg_5-adhd_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -adhd_raw(i)=score_HY6_raw; -adhd_pro(i)=score_HY6_pro; -adhd_mean(i)=score_HY6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,adhd_raw_8,complete,final,,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY6_raw=sum(of HY{*}); -score_HY6_mean=score_HY6_raw/HYi; -score_HY6_pro=round(score_HY6_mean*5,1); -end; -else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; -end; -array adhd_raw (4) adhd_raw_5-adhd_raw_8; -array adhd_pro (4) adhd_pro_5-adhd_pro_8; -array adhd_mean (4) adhd_avg_5-adhd_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -adhd_raw(i)=score_HY6_raw; -adhd_pro(i)=score_HY6_pro; -adhd_mean(i)=score_HY6_mean; -end; -end;", -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,adhd_pro_6,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY6_raw=sum(of HY{*}); -score_HY6_mean=score_HY6_raw/HYi; -score_HY6_pro=round(score_HY6_mean*5,1); -end; -else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; -end; -array adhd_raw (4) adhd_raw_5-adhd_raw_8; -array adhd_pro (4) adhd_pro_5-adhd_pro_8; -array adhd_mean (4) adhd_avg_5-adhd_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -adhd_raw(i)=score_HY6_raw; -adhd_pro(i)=score_HY6_pro; -adhd_mean(i)=score_HY6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,ldlcage_149,complete,final,,ldlcage_149=age_exam_jour;, -PELAGIE,harmonized,AGGR_PRO_7,,,ATHLETE_CDM,outcome_ath,aggr_pc_7,complete,final,,"SDQ6$aggr_pc_7<-xtile(SDQ6$aggr_pro_7, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320",,,LifeCycle_CDM,outcome,adhd_pro_2,partial,final,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?","array HY{6} b304 b309 b311 b312 b316 b320; -HYi=N(of HY{*}); HYp=HYi/6; -if HYp>=0.75 then do; -score_HY2_raw=sum(of HY{*}); -score_HY2_mean=score_HY2_raw/HYi; -score_HY2_pro=round(score_HY2_mean*6,1); -end; -else do; score_HY2_raw=.; score_HY2_mean=.; score_HY2_pro=.; -end; -array adhd_raw (3) adhd_raw_1-adhd_raw_3; -array adhd_pro (3) adhd_pro_1-adhd_pro_3; -array adhd_mean (3) adhd_avg_1-adhd_avg_3; -do i=1 to 3; -if round_SDQ_age2=i then do; -adhd_raw(i)=score_HY2_raw; -adhd_pro(i)=score_HY2_pro; -adhd_mean(i)=score_HY2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle_CDM,outcome,adhd_raw_11,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY12_raw=sum(of HY{*}); -score_HY12_mean=score_HY12_raw/HYi; -score_HY12_pro=round(score_HY12_mean*5,1); -end; -else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; -end; - -array adhd_raw (4) adhd_raw_11-adhd_raw_14; -array adhd_pro (4) adhd_pro_11-adhd_pro_14; -array adhd_mean (4) adhd_avg_11-adhd_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -adhd_raw(i)=score_HY12_raw; -adhd_pro(i)=score_HY12_pro; -adhd_mean(i)=score_HY12_mean; -end; -end;", -PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,aggr_age_3,complete,final,,aggr_age_3=(b3-ddn_2021)/365.2422;, -PELAGIE,harmonized,NVI_EVAL_5,,,LifeCycle_CDM,outcome,nvi_eval_5,complete,final,,nvi_eval_5=3;, -PELAGIE,harmonized,NVI_EVAL_6,,,LifeCycle_CDM,outcome,nvi_eval_6,complete,final,,nvi_eval_6=3;, -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle_CDM,outcome,adhd_raw_13,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY12_raw=sum(of HY{*}); -score_HY12_mean=score_HY12_raw/HYi; -score_HY12_pro=round(score_HY12_mean*5,1); -end; -else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; -end; - -array adhd_raw (4) adhd_raw_11-adhd_raw_14; -array adhd_pro (4) adhd_pro_11-adhd_pro_14; -array adhd_mean (4) adhd_avg_11-adhd_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -adhd_raw(i)=score_HY12_raw; -adhd_pro(i)=score_HY12_pro; -adhd_mean(i)=score_HY12_mean; -end; -end;", -PELAGIE,harmonized,ADHD_PRO_13,,,LifeCycle_CDM,outcome,adhd_pc_13,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ12$adhd_pc_13<-xtile(SDQ12$adhd_pro_13, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle_CDM,outcome,adhd_raw_14,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY12_raw=sum(of HY{*}); -score_HY12_mean=score_HY12_raw/HYi; -score_HY12_pro=round(score_HY12_mean*5,1); -end; -else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; -end; - -array adhd_raw (4) adhd_raw_11-adhd_raw_14; -array adhd_pro (4) adhd_pro_11-adhd_pro_14; -array adhd_mean (4) adhd_avg_11-adhd_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -adhd_raw(i)=score_HY12_raw; -adhd_pro(i)=score_HY12_pro; -adhd_mean(i)=score_HY12_mean; -end; -end;", -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320",,,LifeCycle_CDM,outcome,adhd_pro_1,partial,final,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?","array HY{6} b304 b309 b311 b312 b316 b320; -HYi=N(of HY{*}); HYp=HYi/6; -if HYp>=0.75 then do; -score_HY2_raw=sum(of HY{*}); -score_HY2_mean=score_HY2_raw/HYi; -score_HY2_pro=round(score_HY2_mean*6,1); -end; -else do; score_HY2_raw=.; score_HY2_mean=.; score_HY2_pro=.; -end; -array adhd_raw (3) adhd_raw_1-adhd_raw_3; -array adhd_pro (3) adhd_pro_1-adhd_pro_3; -array adhd_mean (3) adhd_avg_1-adhd_avg_3; -do i=1 to 3; -if round_SDQ_age2=i then do; -adhd_raw(i)=score_HY2_raw; -adhd_pro(i)=score_HY2_pro; -adhd_mean(i)=score_HY2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_bupa_lod_t1,complete,final,,BDD_phtalates_phenols$m_bupa_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.07, -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle_CDM,outcome,adhd_pro_11,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY12_raw=sum(of HY{*}); -score_HY12_mean=score_HY12_raw/HYi; -score_HY12_pro=round(score_HY12_mean*5,1); -end; -else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; -end; - -array adhd_raw (4) adhd_raw_11-adhd_raw_14; -array adhd_pro (4) adhd_pro_11-adhd_pro_14; -array adhd_mean (4) adhd_avg_11-adhd_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -adhd_raw(i)=score_HY12_raw; -adhd_pro(i)=score_HY12_pro; -adhd_mean(i)=score_HY12_mean; -end; -end;", -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320",,,LifeCycle_CDM,outcome,adhd_pro_3,partial,final,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?","array HY{6} b304 b309 b311 b312 b316 b320; -HYi=N(of HY{*}); HYp=HYi/6; -if HYp>=0.75 then do; -score_HY2_raw=sum(of HY{*}); -score_HY2_mean=score_HY2_raw/HYi; -score_HY2_pro=round(score_HY2_mean*6,1); -end; -else do; score_HY2_raw=.; score_HY2_mean=.; score_HY2_pro=.; -end; -array adhd_raw (3) adhd_raw_1-adhd_raw_3; -array adhd_pro (3) adhd_pro_1-adhd_pro_3; -array adhd_mean (3) adhd_avg_1-adhd_avg_3; -do i=1 to 3; -if round_SDQ_age2=i then do; -adhd_raw(i)=score_HY2_raw; -adhd_pro(i)=score_HY2_pro; -adhd_mean(i)=score_HY2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,adhd_pro_5,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY6_raw=sum(of HY{*}); -score_HY6_mean=score_HY6_raw/HYi; -score_HY6_pro=round(score_HY6_mean*5,1); -end; -else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; -end; -array adhd_raw (4) adhd_raw_5-adhd_raw_8; -array adhd_pro (4) adhd_pro_5-adhd_pro_8; -array adhd_mean (4) adhd_avg_5-adhd_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -adhd_raw(i)=score_HY6_raw; -adhd_pro(i)=score_HY6_pro; -adhd_mean(i)=score_HY6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,adhd_age_1,complete,final,,adhd_age_1=(b3-ddn_2021)/365.2422;, -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,adhd_pro_7,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY6_raw=sum(of HY{*}); -score_HY6_mean=score_HY6_raw/HYi; -score_HY6_pro=round(score_HY6_mean*5,1); -end; -else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; -end; -array adhd_raw (4) adhd_raw_5-adhd_raw_8; -array adhd_pro (4) adhd_pro_5-adhd_pro_8; -array adhd_mean (4) adhd_avg_5-adhd_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -adhd_raw(i)=score_HY6_raw; -adhd_pro(i)=score_HY6_pro; -adhd_mean(i)=score_HY6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE_CDM,outcome_ath,aggr_raw_6,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; -if AGRp>=0.75 then do; -score_AGR6_raw=sum(of AGR{*}); -score_AGR6_mean=score_AGR6_raw/AGRi; -score_AGR6_pro=round(score_AGR6_mean*5,1); -end; -else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; -end; -array aggr_raw (4) aggr_raw_5-aggr_raw_8; -array aggr_pro (4) aggr_pro_5-aggr_pro_8; -array aggr_mean (4) aggr_avg_5-aggr_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -aggr_raw(i)=score_AGR6_raw; -aggr_pro(i)=score_AGR6_pro; -aggr_mean(i)=score_AGR6_mean; -end; -end;", -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,adhd_pro_8,complete,final,,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY6_raw=sum(of HY{*}); -score_HY6_mean=score_HY6_raw/HYi; -score_HY6_pro=round(score_HY6_mean*5,1); -end; -else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; -end; -array adhd_raw (4) adhd_raw_5-adhd_raw_8; -array adhd_pro (4) adhd_pro_5-adhd_pro_8; -array adhd_mean (4) adhd_avg_5-adhd_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -adhd_raw(i)=score_HY6_raw; -adhd_pro(i)=score_HY6_pro; -adhd_mean(i)=score_HY6_mean; -end; -end;", -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_147,complete,final,,biomes_147=0;, -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle_CDM,outcome,adhd_pro_12,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY12_raw=sum(of HY{*}); -score_HY12_mean=score_HY12_raw/HYi; -score_HY12_pro=round(score_HY12_mean*5,1); -end; -else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; -end; - -array adhd_raw (4) adhd_raw_11-adhd_raw_14; -array adhd_pro (4) adhd_pro_11-adhd_pro_14; -array adhd_mean (4) adhd_avg_11-adhd_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -adhd_raw(i)=score_HY12_raw; -adhd_pro(i)=score_HY12_pro; -adhd_mean(i)=score_HY12_mean; -end; -end;", -PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,adhd_age_2,complete,final,,adhd_age_2=(b3-ddn_2021)/365.2422;, -PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,adhd_age_3,complete,final,,adhd_age_3=(b3-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle_CDM,outcome,adhd_pro_13,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY12_raw=sum(of HY{*}); -score_HY12_mean=score_HY12_raw/HYi; -score_HY12_pro=round(score_HY12_mean*5,1); -end; -else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; -end; - -array adhd_raw (4) adhd_raw_11-adhd_raw_14; -array adhd_pro (4) adhd_pro_11-adhd_pro_14; -array adhd_mean (4) adhd_avg_11-adhd_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -adhd_raw(i)=score_HY12_raw; -adhd_pro(i)=score_HY12_pro; -adhd_mean(i)=score_HY12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle_CDM,outcome,adhd_pro_14,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY12_raw=sum(of HY{*}); -score_HY12_mean=score_HY12_raw/HYi; -score_HY12_pro=round(score_HY12_mean*5,1); -end; -else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; -end; - -array adhd_raw (4) adhd_raw_11-adhd_raw_14; -array adhd_pro (4) adhd_pro_11-adhd_pro_14; -array adhd_mean (4) adhd_avg_11-adhd_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -adhd_raw(i)=score_HY12_raw; -adhd_pro(i)=score_HY12_pro; -adhd_mean(i)=score_HY12_mean; -end; -end;", -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,hdlcage_156,complete,final,,hdlcage_156=age_exam_jour;, -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320",,,LifeCycle_CDM,outcome,adhd_avg_1,partial,final,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?","array HY{6} b304 b309 b311 b312 b316 b320; -HYi=N(of HY{*}); HYp=HYi/6; -if HYp>=0.75 then do; -score_HY2_raw=sum(of HY{*}); -score_HY2_mean=score_HY2_raw/HYi; -score_HY2_pro=round(score_HY2_mean*6,1); -end; -else do; score_HY2_raw=.; score_HY2_mean=.; score_HY2_pro=.; -end; -array adhd_raw (3) adhd_raw_1-adhd_raw_3; -array adhd_pro (3) adhd_pro_1-adhd_pro_3; -array adhd_mean (3) adhd_avg_1-adhd_avg_3; -do i=1 to 3; -if round_SDQ_age2=i then do; -adhd_raw(i)=score_HY2_raw; -adhd_pro(i)=score_HY2_pro; -adhd_mean(i)=score_HY2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320",,,LifeCycle_CDM,outcome,adhd_avg_2,partial,final,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?","array HY{6} b304 b309 b311 b312 b316 b320; -HYi=N(of HY{*}); HYp=HYi/6; -if HYp>=0.75 then do; -score_HY2_raw=sum(of HY{*}); -score_HY2_mean=score_HY2_raw/HYi; -score_HY2_pro=round(score_HY2_mean*6,1); -end; -else do; score_HY2_raw=.; score_HY2_mean=.; score_HY2_pro=.; -end; -array adhd_raw (3) adhd_raw_1-adhd_raw_3; -array adhd_pro (3) adhd_pro_1-adhd_pro_3; -array adhd_mean (3) adhd_avg_1-adhd_avg_3; -do i=1 to 3; -if round_SDQ_age2=i then do; -adhd_raw(i)=score_HY2_raw; -adhd_pro(i)=score_HY2_pro; -adhd_mean(i)=score_HY2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,adhd_age_5,complete,final,,adhd_age_5=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,pelagie_q2,"B304,B309,B311,B312,B316,B320",,,LifeCycle_CDM,outcome,adhd_avg_3,partial,final,"Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?","array HY{6} b304 b309 b311 b312 b316 b320; -HYi=N(of HY{*}); HYp=HYi/6; -if HYp>=0.75 then do; -score_HY2_raw=sum(of HY{*}); -score_HY2_mean=score_HY2_raw/HYi; -score_HY2_pro=round(score_HY2_mean*6,1); -end; -else do; score_HY2_raw=.; score_HY2_mean=.; score_HY2_pro=.; -end; -array adhd_raw (3) adhd_raw_1-adhd_raw_3; -array adhd_pro (3) adhd_pro_1-adhd_pro_3; -array adhd_mean (3) adhd_avg_1-adhd_avg_3; -do i=1 to 3; -if round_SDQ_age2=i then do; -adhd_raw(i)=score_HY2_raw; -adhd_pro(i)=score_HY2_pro; -adhd_mean(i)=score_HY2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle_CDM,outcome,adhd_avg_14,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY12_raw=sum(of HY{*}); -score_HY12_mean=score_HY12_raw/HYi; -score_HY12_pro=round(score_HY12_mean*5,1); -end; -else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; -end; - -array adhd_raw (4) adhd_raw_11-adhd_raw_14; -array adhd_pro (4) adhd_pro_11-adhd_pro_14; -array adhd_mean (4) adhd_avg_11-adhd_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -adhd_raw(i)=score_HY12_raw; -adhd_pro(i)=score_HY12_pro; -adhd_mean(i)=score_HY12_mean; -end; -end;", -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,adhd_avg_5,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY6_raw=sum(of HY{*}); -score_HY6_mean=score_HY6_raw/HYi; -score_HY6_pro=round(score_HY6_mean*5,1); -end; -else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; -end; -array adhd_raw (4) adhd_raw_5-adhd_raw_8; -array adhd_pro (4) adhd_pro_5-adhd_pro_8; -array adhd_mean (4) adhd_avg_5-adhd_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -adhd_raw(i)=score_HY6_raw; -adhd_pro(i)=score_HY6_pro; -adhd_mean(i)=score_HY6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,adhd_avg_6,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY6_raw=sum(of HY{*}); -score_HY6_mean=score_HY6_raw/HYi; -score_HY6_pro=round(score_HY6_mean*5,1); -end; -else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; -end; -array adhd_raw (4) adhd_raw_5-adhd_raw_8; -array adhd_pro (4) adhd_pro_5-adhd_pro_8; -array adhd_mean (4) adhd_avg_5-adhd_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -adhd_raw(i)=score_HY6_raw; -adhd_pro(i)=score_HY6_pro; -adhd_mean(i)=score_HY6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,adhd_avg_7,complete,final,data collected at the 6-year-old follow-up and concerns food allergy since birth,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY6_raw=sum(of HY{*}); -score_HY6_mean=score_HY6_raw/HYi; -score_HY6_pro=round(score_HY6_mean*5,1); -end; -else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; -end; -array adhd_raw (4) adhd_raw_5-adhd_raw_8; -array adhd_pro (4) adhd_pro_5-adhd_pro_8; -array adhd_mean (4) adhd_avg_5-adhd_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -adhd_raw(i)=score_HY6_raw; -adhd_pro(i)=score_HY6_pro; -adhd_mean(i)=score_HY6_mean; -end; -end;",data collected at the 6-year-old follow-up and concerns food allergy since birth -PELAGIE,harmonized,ADHD_INSTR_11,,,LifeCycle_CDM,outcome,adhd_instr_11,complete,final,,instr=47;, -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,adhd_age_6,complete,final,,adhd_age_6=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_164,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_bupa_lod_t2,complete,final,,BDD_phtalates_phenols$m_bupa_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.07, -PELAGIE,pelagie_q6,"QE6_B15_2,QE6_B15_10,QE6_B15_15,QE6_B15_21,QE6_B15_25,QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,LifeCycle_CDM,outcome,adhd_avg_8,complete,final,,"array HY{5} QE6_B15_2 QE6_B15_10 QE6_B15_15 QE6_B15_21 QE6_B15_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY6_raw=sum(of HY{*}); -score_HY6_mean=score_HY6_raw/HYi; -score_HY6_pro=round(score_HY6_mean*5,1); -end; -else do; score_H6_raw=.; score_HY6_mean=.; score_HY6_pro=.; -end; -array adhd_raw (4) adhd_raw_5-adhd_raw_8; -array adhd_pro (4) adhd_pro_5-adhd_pro_8; -array adhd_mean (4) adhd_avg_5-adhd_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -adhd_raw(i)=score_HY6_raw; -adhd_pro(i)=score_HY6_pro; -adhd_mean(i)=score_HY6_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle_CDM,outcome,adhd_avg_11,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY12_raw=sum(of HY{*}); -score_HY12_mean=score_HY12_raw/HYi; -score_HY12_pro=round(score_HY12_mean*5,1); -end; -else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; -end; - -array adhd_raw (4) adhd_raw_11-adhd_raw_14; -array adhd_pro (4) adhd_pro_11-adhd_pro_14; -array adhd_mean (4) adhd_avg_11-adhd_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -adhd_raw(i)=score_HY12_raw; -adhd_pro(i)=score_HY12_pro; -adhd_mean(i)=score_HY12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle_CDM,outcome,adhd_avg_12,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY12_raw=sum(of HY{*}); -score_HY12_mean=score_HY12_raw/HYi; -score_HY12_pro=round(score_HY12_mean*5,1); -end; -else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; -end; - -array adhd_raw (4) adhd_raw_11-adhd_raw_14; -array adhd_pro (4) adhd_pro_11-adhd_pro_14; -array adhd_mean (4) adhd_avg_11-adhd_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -adhd_raw(i)=score_HY12_raw; -adhd_pro(i)=score_HY12_pro; -adhd_mean(i)=score_HY12_mean; -end; -end;", -AP,AP,dat_acc,,,OOM_CDM,MEDICAL_OBSERVATIONS,mo_date,complete,,,, -PELAGIE,pelagie_q12,"VQ_Q7_2,VQ_Q7_10,VQ_Q7_15,VQ_Q7_21,VQ_Q7_25",,,LifeCycle_CDM,outcome,adhd_avg_13,complete,final,,"array HY{5} VQ_Q7_2 VQ_Q7_10 VQ_Q7_15 VQ_Q7_21 VQ_Q7_25; -HYi=N(of HY{*}); HYp=HYi/5; -if HYp>=0.75 then do; -score_HY12_raw=sum(of HY{*}); -score_HY12_mean=score_HY12_raw/HYi; -score_HY12_pro=round(score_HY12_mean*5,1); -end; -else do; score_HY12_raw=.; score_HY12_mean=.; score_HY12_pro=.; -end; - -array adhd_raw (4) adhd_raw_11-adhd_raw_14; -array adhd_pro (4) adhd_pro_11-adhd_pro_14; -array adhd_mean (4) adhd_avg_11-adhd_avg_14; -do i=1 to 4; -if round_SDQ_age12=10+i then do; -adhd_raw(i)=score_HY12_raw; -adhd_pro(i)=score_HY12_pro; -adhd_mean(i)=score_HY12_mean; -end; -end;", -PELAGIE,harmonized,ADHD_PRO_7,,,LifeCycle_CDM,outcome,adhd_pc_7,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$adhd_pc_7<-xtile(SDQ6$adhd_pro_7, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,harmonized,ASD_EVAL_12,,,LifeCycle_CDM,outcome,asd_eval_12,complete,final,,asd_eval_12=2;, -PELAGIE,harmonized,ADHD_PRO_1,,,LifeCycle_CDM,outcome,adhd_pc_1,partial,final,"Percentile variables were generated only for years where information on prorated score was available for more than 10 children - -Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?","CPT2$adhd_pc_1<-xtile(CPT2$adhd_pro_1, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children - -Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,pelagie_q2,"B319,B308,B317,B306,B310,B314",,,ATHLETE_CDM,outcome_ath,aggr_raw_3,partial,final,,"array AGR{6} b319 b308 b317 b306 b310 b314; -AGRi=N(of AGR{*}); AGRp=AGRi/6; -if AGRp>=0.75 then do; -score_AGR2_raw=sum(of AGR{*}); -score_AGR2_mean=score_AGR2_raw/AGRi; -score_AGR2_pro=round(score_AGR2_mean*6,1); -end; -else do; score_AGR2_raw=.; score_AGR2_mean=.; score_AGR2_pro=.; -end; -array aggr_raw (3) aggr_raw_1-aggr_raw_3; -array aggr_pro (3) aggr_pro_1-aggr_pro_3; -array aggr_mean (3) aggr_avg_1-aggr_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -aggr_raw(i)=score_AGR2_raw; -aggr_pro(i)=score_AGR2_pro; -aggr_mean(i)=score_AGR2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,harmonized,ADHD_PRO_2,,,LifeCycle_CDM,outcome,adhd_pc_2,partial,final,"Percentile variables were generated only for years where information on prorated score was available for more than 10 children - -Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?","CPT2$adhd_pc_2<-xtile(CPT2$adhd_pro_2, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children - -Partial CBCL scale: -(1) how often would you say that your child has been unable to stay put, or has been restless or hyperactive? -(2) how often would you say that your child was easily distracted, or had difficulty pursuing any activity? -(3) how often would you say your child has constantly fidgeted? -(4) how often would you say that your child has been unable to concentrate, or maintain attention for a long period? -(5) how often would you say that your child has had difficulty waiting for their turn in a game? -(6) how often would you say your child has been inattentive/distracted?" -PELAGIE,harmonized,ADHD_PRO_5,,,LifeCycle_CDM,outcome,adhd_pc_5,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$adhd_pc_5<-xtile(SDQ6$adhd_pro_5, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,harmonized,ADHD_PRO_6,,,LifeCycle_CDM,outcome,adhd_pc_6,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"SDQ6$adhd_pc_6<-xtile(SDQ6$adhd_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pelagie_q2,"B319,B308,B317,B306,B310,B314",,,ATHLETE_CDM,outcome_ath,aggr_raw_1,partial,final,,"array AGR{6} b319 b308 b317 b306 b310 b314; -AGRi=N(of AGR{*}); AGRp=AGRi/6; -if AGRp>=0.75 then do; -score_AGR2_raw=sum(of AGR{*}); -score_AGR2_mean=score_AGR2_raw/AGRi; -score_AGR2_pro=round(score_AGR2_mean*6,1); -end; -else do; score_AGR2_raw=.; score_AGR2_mean=.; score_AGR2_pro=.; -end; -array aggr_raw (3) aggr_raw_1-aggr_raw_3; -array aggr_pro (3) aggr_pro_1-aggr_pro_3; -array aggr_mean (3) aggr_avg_1-aggr_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -aggr_raw(i)=score_AGR2_raw; -aggr_pro(i)=score_AGR2_pro; -aggr_mean(i)=score_AGR2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,pelagie_q2,"B319,B308,B317,B306,B310,B314",,,ATHLETE_CDM,outcome_ath,aggr_raw_2,partial,final,,"array AGR{6} b319 b308 b317 b306 b310 b314; -AGRi=N(of AGR{*}); AGRp=AGRi/6; -if AGRp>=0.75 then do; -score_AGR2_raw=sum(of AGR{*}); -score_AGR2_mean=score_AGR2_raw/AGRi; -score_AGR2_pro=round(score_AGR2_mean*6,1); -end; -else do; score_AGR2_raw=.; score_AGR2_mean=.; score_AGR2_pro=.; -end; -array aggr_raw (3) aggr_raw_1-aggr_raw_3; -array aggr_pro (3) aggr_pro_1-aggr_pro_3; -array aggr_mean (3) aggr_avg_1-aggr_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -aggr_raw(i)=score_AGR2_raw; -aggr_pro(i)=score_AGR2_pro; -aggr_mean(i)=score_AGR2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_148,complete,final,,biomes_148=0;, -PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE_CDM,outcome_ath,aggr_raw_5,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; -if AGRp>=0.75 then do; -score_AGR6_raw=sum(of AGR{*}); -score_AGR6_mean=score_AGR6_raw/AGRi; -score_AGR6_pro=round(score_AGR6_mean*5,1); -end; -else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; -end; -array aggr_raw (4) aggr_raw_5-aggr_raw_8; -array aggr_pro (4) aggr_pro_5-aggr_pro_8; -array aggr_mean (4) aggr_avg_5-aggr_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -aggr_raw(i)=score_AGR6_raw; -aggr_pro(i)=score_AGR6_pro; -aggr_mean(i)=score_AGR6_mean; -end; -end;", -PELAGIE,harmonized,AGGR_EVAL_8,,,ATHLETE_CDM,outcome_ath,aggr_eval_8,complete,final,,eval=2;, -PELAGIE,harmonized,AGGR_EVAL_1,,,ATHLETE_CDM,outcome_ath,aggr_eval_1,complete,final,,eval=2;, -PELAGIE,harmonized,AGGR_INSTR_3,,,ATHLETE_CDM,outcome_ath,aggr_instr_3,partial,final,,instr=13;,"Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE_CDM,outcome_ath,aggr_raw_7,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; -if AGRp>=0.75 then do; -score_AGR6_raw=sum(of AGR{*}); -score_AGR6_mean=score_AGR6_raw/AGRi; -score_AGR6_pro=round(score_AGR6_mean*5,1); -end; -else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; -end; -array aggr_raw (4) aggr_raw_5-aggr_raw_8; -array aggr_pro (4) aggr_pro_5-aggr_pro_8; -array aggr_mean (4) aggr_avg_5-aggr_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -aggr_raw(i)=score_AGR6_raw; -aggr_pro(i)=score_AGR6_pro; -aggr_mean(i)=score_AGR6_mean; -end; -end;", -PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE_CDM,outcome_ath,aggr_raw_8,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; -if AGRp>=0.75 then do; -score_AGR6_raw=sum(of AGR{*}); -score_AGR6_mean=score_AGR6_raw/AGRi; -score_AGR6_pro=round(score_AGR6_mean*5,1); -end; -else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; -end; -array aggr_raw (4) aggr_raw_5-aggr_raw_8; -array aggr_pro (4) aggr_pro_5-aggr_pro_8; -array aggr_mean (4) aggr_avg_5-aggr_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -aggr_raw(i)=score_AGR6_raw; -aggr_pro(i)=score_AGR6_pro; -aggr_mean(i)=score_AGR6_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE_CDM,outcome_ath,aggr_raw_11,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; - -if AGRp>=0.75 then do; -score_AGR12_raw=sum(of AGR{*}); -score_AGR12_mean=score_AGR12_raw/AGRi; -score_AGR12_pro=round(score_AGR12_mean*5,1); -end; -else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; -end; - -array aggr_raw (4) aggr_raw_11-aggr_raw_14; -array aggr_pro (4) aggr_pro_11-aggr_pro_14; -array aggr_mean (4) aggr_avg_11-aggr_avg_14; - -do i=1 to 4; -if round_SDQ_age12=10+i then do; -aggr_raw(i)=score_AGR12_raw; -aggr_pro(i)=score_AGR12_pro; -aggr_mean(i)=score_AGR12_mean; -end; -end;", -PELAGIE,harmonized,AGGR_EVAL_11,,,ATHLETE_CDM,outcome_ath,aggr_eval_11,complete,final,,eval=2;, -PELAGIE,harmonized,AGGR_INSTR_5,,,ATHLETE_CDM,outcome_ath,aggr_instr_5,complete,final,,instr=47;, -PELAGIE,harmonized,AGGR_INSTR_6,,,ATHLETE_CDM,outcome_ath,aggr_instr_6,complete,final,,instr=47;, -PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE_CDM,outcome_ath,aggr_raw_12,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; - -if AGRp>=0.75 then do; -score_AGR12_raw=sum(of AGR{*}); -score_AGR12_mean=score_AGR12_raw/AGRi; -score_AGR12_pro=round(score_AGR12_mean*5,1); -end; -else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; -end; - -array aggr_raw (4) aggr_raw_11-aggr_raw_14; -array aggr_pro (4) aggr_pro_11-aggr_pro_14; -array aggr_mean (4) aggr_avg_11-aggr_avg_14; - -do i=1 to 4; -if round_SDQ_age12=10+i then do; -aggr_raw(i)=score_AGR12_raw; -aggr_pro(i)=score_AGR12_pro; -aggr_mean(i)=score_AGR12_mean; -end; -end;", -PELAGIE,pelagie_q2,B3,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,aggr_age_2,complete,final,,aggr_age_2=(b3-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE_CDM,outcome_ath,aggr_raw_13,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; - -if AGRp>=0.75 then do; -score_AGR12_raw=sum(of AGR{*}); -score_AGR12_mean=score_AGR12_raw/AGRi; -score_AGR12_pro=round(score_AGR12_mean*5,1); -end; -else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; -end; - -array aggr_raw (4) aggr_raw_11-aggr_raw_14; -array aggr_pro (4) aggr_pro_11-aggr_pro_14; -array aggr_mean (4) aggr_avg_11-aggr_avg_14; - -do i=1 to 4; -if round_SDQ_age12=10+i then do; -aggr_raw(i)=score_AGR12_raw; -aggr_pro(i)=score_AGR12_pro; -aggr_mean(i)=score_AGR12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE_CDM,outcome_ath,aggr_raw_14,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; - -if AGRp>=0.75 then do; -score_AGR12_raw=sum(of AGR{*}); -score_AGR12_mean=score_AGR12_raw/AGRi; -score_AGR12_pro=round(score_AGR12_mean*5,1); -end; -else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; -end; - -array aggr_raw (4) aggr_raw_11-aggr_raw_14; -array aggr_pro (4) aggr_pro_11-aggr_pro_14; -array aggr_mean (4) aggr_avg_11-aggr_avg_14; - -do i=1 to 4; -if round_SDQ_age12=10+i then do; -aggr_raw(i)=score_AGR12_raw; -aggr_pro(i)=score_AGR12_pro; -aggr_mean(i)=score_AGR12_mean; -end; -end;", -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_150,complete,final,,biomes_150=0;, -PELAGIE,pelagie_q2,"B319,B308,B317,B306,B310,B314",,,ATHLETE_CDM,outcome_ath,aggr_avg_1,partial,final,,"array AGR{6} b319 b308 b317 b306 b310 b314; -AGRi=N(of AGR{*}); AGRp=AGRi/6; -if AGRp>=0.75 then do; -score_AGR2_raw=sum(of AGR{*}); -score_AGR2_mean=score_AGR2_raw/AGRi; -score_AGR2_pro=round(score_AGR2_mean*6,1); -end; -else do; score_AGR2_raw=.; score_AGR2_mean=.; score_AGR2_pro=.; -end; -array aggr_raw (3) aggr_raw_1-aggr_raw_3; -array aggr_pro (3) aggr_pro_1-aggr_pro_3; -array aggr_mean (3) aggr_avg_1-aggr_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -aggr_raw(i)=score_AGR2_raw; -aggr_pro(i)=score_AGR2_pro; -aggr_mean(i)=score_AGR2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,harmonized,AGGR_EVAL_13,,,ATHLETE_CDM,outcome_ath,aggr_eval_13,complete,final,,eval=2;, -PELAGIE,pelagie_q2,"B319,B308,B317,B306,B310,B314",,,ATHLETE_CDM,outcome_ath,aggr_avg_2,partial,final,,"array AGR{6} b319 b308 b317 b306 b310 b314; -AGRi=N(of AGR{*}); AGRp=AGRi/6; -if AGRp>=0.75 then do; -score_AGR2_raw=sum(of AGR{*}); -score_AGR2_mean=score_AGR2_raw/AGRi; -score_AGR2_pro=round(score_AGR2_mean*6,1); -end; -else do; score_AGR2_raw=.; score_AGR2_mean=.; score_AGR2_pro=.; -end; -array aggr_raw (3) aggr_raw_1-aggr_raw_3; -array aggr_pro (3) aggr_pro_1-aggr_pro_3; -array aggr_mean (3) aggr_avg_1-aggr_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -aggr_raw(i)=score_AGR2_raw; -aggr_pro(i)=score_AGR2_pro; -aggr_mean(i)=score_AGR2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,pelagie_q2,"B319,B308,B317,B306,B310,B314",,,ATHLETE_CDM,outcome_ath,aggr_avg_3,partial,final,,"array AGR{6} b319 b308 b317 b306 b310 b314; -AGRi=N(of AGR{*}); AGRp=AGRi/6; -if AGRp>=0.75 then do; -score_AGR2_raw=sum(of AGR{*}); -score_AGR2_mean=score_AGR2_raw/AGRi; -score_AGR2_pro=round(score_AGR2_mean*6,1); -end; -else do; score_AGR2_raw=.; score_AGR2_mean=.; score_AGR2_pro=.; -end; -array aggr_raw (3) aggr_raw_1-aggr_raw_3; -array aggr_pro (3) aggr_pro_1-aggr_pro_3; -array aggr_mean (3) aggr_avg_1-aggr_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -aggr_raw(i)=score_AGR2_raw; -aggr_pro(i)=score_AGR2_pro; -aggr_mean(i)=score_AGR2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE_CDM,outcome_ath,aggr_avg_5,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; -if AGRp>=0.75 then do; -score_AGR6_raw=sum(of AGR{*}); -score_AGR6_mean=score_AGR6_raw/AGRi; -score_AGR6_pro=round(score_AGR6_mean*5,1); -end; -else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; -end; -array aggr_raw (4) aggr_raw_5-aggr_raw_8; -array aggr_pro (4) aggr_pro_5-aggr_pro_8; -array aggr_mean (4) aggr_avg_5-aggr_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -aggr_raw(i)=score_AGR6_raw; -aggr_pro(i)=score_AGR6_pro; -aggr_mean(i)=score_AGR6_mean; -end; -end;", -PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE_CDM,outcome_ath,aggr_avg_6,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; -if AGRp>=0.75 then do; -score_AGR6_raw=sum(of AGR{*}); -score_AGR6_mean=score_AGR6_raw/AGRi; -score_AGR6_pro=round(score_AGR6_mean*5,1); -end; -else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; -end; -array aggr_raw (4) aggr_raw_5-aggr_raw_8; -array aggr_pro (4) aggr_pro_5-aggr_pro_8; -array aggr_mean (4) aggr_avg_5-aggr_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -aggr_raw(i)=score_AGR6_raw; -aggr_pro(i)=score_AGR6_pro; -aggr_mean(i)=score_AGR6_mean; -end; -end;", -PELAGIE,harmonized,AGGR_INSTR_7,,,ATHLETE_CDM,outcome_ath,aggr_instr_7,complete,final,,instr=47;, -PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE_CDM,outcome_ath,aggr_avg_7,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; -if AGRp>=0.75 then do; -score_AGR6_raw=sum(of AGR{*}); -score_AGR6_mean=score_AGR6_raw/AGRi; -score_AGR6_pro=round(score_AGR6_mean*5,1); -end; -else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; -end; -array aggr_raw (4) aggr_raw_5-aggr_raw_8; -array aggr_pro (4) aggr_pro_5-aggr_pro_8; -array aggr_mean (4) aggr_avg_5-aggr_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -aggr_raw(i)=score_AGR6_raw; -aggr_pro(i)=score_AGR6_pro; -aggr_mean(i)=score_AGR6_mean; -end; -end;", -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,aggr_age_5,complete,final,,aggr_age_5=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE_CDM,outcome_ath,aggr_avg_8,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; -if AGRp>=0.75 then do; -score_AGR6_raw=sum(of AGR{*}); -score_AGR6_mean=score_AGR6_raw/AGRi; -score_AGR6_pro=round(score_AGR6_mean*5,1); -end; -else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; -end; -array aggr_raw (4) aggr_raw_5-aggr_raw_8; -array aggr_pro (4) aggr_pro_5-aggr_pro_8; -array aggr_mean (4) aggr_avg_5-aggr_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -aggr_raw(i)=score_AGR6_raw; -aggr_pro(i)=score_AGR6_pro; -aggr_mean(i)=score_AGR6_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE_CDM,outcome_ath,aggr_avg_11,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; - -if AGRp>=0.75 then do; -score_AGR12_raw=sum(of AGR{*}); -score_AGR12_mean=score_AGR12_raw/AGRi; -score_AGR12_pro=round(score_AGR12_mean*5,1); -end; -else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; -end; - -array aggr_raw (4) aggr_raw_11-aggr_raw_14; -array aggr_pro (4) aggr_pro_11-aggr_pro_14; -array aggr_mean (4) aggr_avg_11-aggr_avg_14; - -do i=1 to 4; -if round_SDQ_age12=10+i then do; -aggr_raw(i)=score_AGR12_raw; -aggr_pro(i)=score_AGR12_pro; -aggr_mean(i)=score_AGR12_mean; -end; -end;", -SPF,SPF,,,,OOM_CDM,MEDICINES,presc_duration_days,complete,,,, -PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE_CDM,outcome_ath,aggr_avg_12,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; - -if AGRp>=0.75 then do; -score_AGR12_raw=sum(of AGR{*}); -score_AGR12_mean=score_AGR12_raw/AGRi; -score_AGR12_pro=round(score_AGR12_mean*5,1); -end; -else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; -end; - -array aggr_raw (4) aggr_raw_11-aggr_raw_14; -array aggr_pro (4) aggr_pro_11-aggr_pro_14; -array aggr_mean (4) aggr_avg_11-aggr_avg_14; - -do i=1 to 4; -if round_SDQ_age12=10+i then do; -aggr_raw(i)=score_AGR12_raw; -aggr_pro(i)=score_AGR12_pro; -aggr_mean(i)=score_AGR12_mean; -end; -end;", -PELAGIE,harmonized,AGGR_EVAL_14,,,ATHLETE_CDM,outcome_ath,aggr_eval_14,complete,final,,eval=2;, -PELAGIE,harmonized,AGGR_INSTR_8,,,ATHLETE_CDM,outcome_ath,aggr_instr_8,complete,final,,instr=47;, -PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE_CDM,outcome_ath,aggr_avg_13,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; - -if AGRp>=0.75 then do; -score_AGR12_raw=sum(of AGR{*}); -score_AGR12_mean=score_AGR12_raw/AGRi; -score_AGR12_pro=round(score_AGR12_mean*5,1); -end; -else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; -end; - -array aggr_raw (4) aggr_raw_11-aggr_raw_14; -array aggr_pro (4) aggr_pro_11-aggr_pro_14; -array aggr_mean (4) aggr_avg_11-aggr_avg_14; - -do i=1 to 4; -if round_SDQ_age12=10+i then do; -aggr_raw(i)=score_AGR12_raw; -aggr_pro(i)=score_AGR12_pro; -aggr_mean(i)=score_AGR12_mean; -end; -end;", -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,aggr_age_6,complete,final,,aggr_age_6=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE_CDM,outcome_ath,aggr_avg_14,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; - -if AGRp>=0.75 then do; -score_AGR12_raw=sum(of AGR{*}); -score_AGR12_mean=score_AGR12_raw/AGRi; -score_AGR12_pro=round(score_AGR12_mean*5,1); -end; -else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; -end; - -array aggr_raw (4) aggr_raw_11-aggr_raw_14; -array aggr_pro (4) aggr_pro_11-aggr_pro_14; -array aggr_mean (4) aggr_avg_11-aggr_avg_14; - -do i=1 to 4; -if round_SDQ_age12=10+i then do; -aggr_raw(i)=score_AGR12_raw; -aggr_pro(i)=score_AGR12_pro; -aggr_mean(i)=score_AGR12_mean; -end; -end;", -PELAGIE,pelagie_q2,"B319,B308,B317,B306,B310,B314",,,ATHLETE_CDM,outcome_ath,aggr_pro_1,partial,final,,"array AGR{6} b319 b308 b317 b306 b310 b314; -AGRi=N(of AGR{*}); AGRp=AGRi/6; -if AGRp>=0.75 then do; -score_AGR2_raw=sum(of AGR{*}); -score_AGR2_mean=score_AGR2_raw/AGRi; -score_AGR2_pro=round(score_AGR2_mean*6,1); -end; -else do; score_AGR2_raw=.; score_AGR2_mean=.; score_AGR2_pro=.; -end; -array aggr_raw (3) aggr_raw_1-aggr_raw_3; -array aggr_pro (3) aggr_pro_1-aggr_pro_3; -array aggr_mean (3) aggr_avg_1-aggr_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -aggr_raw(i)=score_AGR2_raw; -aggr_pro(i)=score_AGR2_pro; -aggr_mean(i)=score_AGR2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,pelagie_q2,"B319,B308,B317,B306,B310,B314",,,ATHLETE_CDM,outcome_ath,aggr_pro_2,partial,final,,"array AGR{6} b319 b308 b317 b306 b310 b314; -AGRi=N(of AGR{*}); AGRp=AGRi/6; -if AGRp>=0.75 then do; -score_AGR2_raw=sum(of AGR{*}); -score_AGR2_mean=score_AGR2_raw/AGRi; -score_AGR2_pro=round(score_AGR2_mean*6,1); -end; -else do; score_AGR2_raw=.; score_AGR2_mean=.; score_AGR2_pro=.; -end; -array aggr_raw (3) aggr_raw_1-aggr_raw_3; -array aggr_pro (3) aggr_pro_1-aggr_pro_3; -array aggr_mean (3) aggr_avg_1-aggr_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -aggr_raw(i)=score_AGR2_raw; -aggr_pro(i)=score_AGR2_pro; -aggr_mean(i)=score_AGR2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,pelagie_q2,"B319,B308,B317,B306,B310,B314",,,ATHLETE_CDM,outcome_ath,aggr_pro_3,partial,final,,"array AGR{6} b319 b308 b317 b306 b310 b314; -AGRi=N(of AGR{*}); AGRp=AGRi/6; -if AGRp>=0.75 then do; -score_AGR2_raw=sum(of AGR{*}); -score_AGR2_mean=score_AGR2_raw/AGRi; -score_AGR2_pro=round(score_AGR2_mean*6,1); -end; -else do; score_AGR2_raw=.; score_AGR2_mean=.; score_AGR2_pro=.; -end; -array aggr_raw (3) aggr_raw_1-aggr_raw_3; -array aggr_pro (3) aggr_pro_1-aggr_pro_3; -array aggr_mean (3) aggr_avg_1-aggr_avg_3; - -do i=1 to 3; -if round_SDQ_age2=i then do; -aggr_raw(i)=score_AGR2_raw; -aggr_pro(i)=score_AGR2_pro; -aggr_mean(i)=score_AGR2_mean; -end; -end;","Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,pelagie_q12,DATE,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,aggr_age_11,complete,final,,aggr_age_11=(DATE-ddn_2021)/365.2422;, -PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE_CDM,outcome_ath,aggr_pro_5,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; -if AGRp>=0.75 then do; -score_AGR6_raw=sum(of AGR{*}); -score_AGR6_mean=score_AGR6_raw/AGRi; -score_AGR6_pro=round(score_AGR6_mean*5,1); -end; -else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; -end; -array aggr_raw (4) aggr_raw_5-aggr_raw_8; -array aggr_pro (4) aggr_pro_5-aggr_pro_8; -array aggr_mean (4) aggr_avg_5-aggr_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -aggr_raw(i)=score_AGR6_raw; -aggr_pro(i)=score_AGR6_pro; -aggr_mean(i)=score_AGR6_mean; -end; -end;", -PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE_CDM,outcome_ath,aggr_pro_6,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; -if AGRp>=0.75 then do; -score_AGR6_raw=sum(of AGR{*}); -score_AGR6_mean=score_AGR6_raw/AGRi; -score_AGR6_pro=round(score_AGR6_mean*5,1); -end; -else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; -end; -array aggr_raw (4) aggr_raw_5-aggr_raw_8; -array aggr_pro (4) aggr_pro_5-aggr_pro_8; -array aggr_mean (4) aggr_avg_5-aggr_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -aggr_raw(i)=score_AGR6_raw; -aggr_pro(i)=score_AGR6_pro; -aggr_mean(i)=score_AGR6_mean; -end; -end;", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mepa_lod_t1,complete,final,,BDD_phtalates_phenols$m_mepa_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.04, -PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE_CDM,outcome_ath,aggr_pro_7,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; -if AGRp>=0.75 then do; -score_AGR6_raw=sum(of AGR{*}); -score_AGR6_mean=score_AGR6_raw/AGRi; -score_AGR6_pro=round(score_AGR6_mean*5,1); -end; -else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; -end; -array aggr_raw (4) aggr_raw_5-aggr_raw_8; -array aggr_pro (4) aggr_pro_5-aggr_pro_8; -array aggr_mean (4) aggr_avg_5-aggr_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -aggr_raw(i)=score_AGR6_raw; -aggr_pro(i)=score_AGR6_pro; -aggr_mean(i)=score_AGR6_mean; -end; -end;", -PELAGIE,pelagie_q6,"QE6_B15_5,QE6_B15_7,QE6_B15_12,QE6_B15_18,QE6_B15_22",,,ATHLETE_CDM,outcome_ath,aggr_pro_8,complete,final,,"array AGR{5} QE6_B15_5 QE6_B15_7 QE6_B15_12 QE6_B15_18 QE6_B15_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; -if AGRp>=0.75 then do; -score_AGR6_raw=sum(of AGR{*}); -score_AGR6_mean=score_AGR6_raw/AGRi; -score_AGR6_pro=round(score_AGR6_mean*5,1); -end; -else do; score_AGR6_raw=.; score_AGR6_mean=.; score_AGR6_pro=.; -end; -array aggr_raw (4) aggr_raw_5-aggr_raw_8; -array aggr_pro (4) aggr_pro_5-aggr_pro_8; -array aggr_mean (4) aggr_avg_5-aggr_avg_8; - -do i=1 to 4; -if round_SDQ_age6=i+4 then do; -aggr_raw(i)=score_AGR6_raw; -aggr_pro(i)=score_AGR6_pro; -aggr_mean(i)=score_AGR6_mean; -end; -end;", -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,aggr_age_7,complete,final,,aggr_age_7=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,nvi_age_6,complete,final,,nvi_age_6=(date_RDV-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE_CDM,outcome_ath,aggr_pro_11,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; - -if AGRp>=0.75 then do; -score_AGR12_raw=sum(of AGR{*}); -score_AGR12_mean=score_AGR12_raw/AGRi; -score_AGR12_pro=round(score_AGR12_mean*5,1); -end; -else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; -end; - -array aggr_raw (4) aggr_raw_11-aggr_raw_14; -array aggr_pro (4) aggr_pro_11-aggr_pro_14; -array aggr_mean (4) aggr_avg_11-aggr_avg_14; - -do i=1 to 4; -if round_SDQ_age12=10+i then do; -aggr_raw(i)=score_AGR12_raw; -aggr_pro(i)=score_AGR12_pro; -aggr_mean(i)=score_AGR12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE_CDM,outcome_ath,aggr_pro_12,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; - -if AGRp>=0.75 then do; -score_AGR12_raw=sum(of AGR{*}); -score_AGR12_mean=score_AGR12_raw/AGRi; -score_AGR12_pro=round(score_AGR12_mean*5,1); -end; -else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; -end; - -array aggr_raw (4) aggr_raw_11-aggr_raw_14; -array aggr_pro (4) aggr_pro_11-aggr_pro_14; -array aggr_mean (4) aggr_avg_11-aggr_avg_14; - -do i=1 to 4; -if round_SDQ_age12=10+i then do; -aggr_raw(i)=score_AGR12_raw; -aggr_pro(i)=score_AGR12_pro; -aggr_mean(i)=score_AGR12_mean; -end; -end;", -PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE_CDM,outcome_ath,aggr_pro_13,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; - -if AGRp>=0.75 then do; -score_AGR12_raw=sum(of AGR{*}); -score_AGR12_mean=score_AGR12_raw/AGRi; -score_AGR12_pro=round(score_AGR12_mean*5,1); -end; -else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; -end; - -array aggr_raw (4) aggr_raw_11-aggr_raw_14; -array aggr_pro (4) aggr_pro_11-aggr_pro_14; -array aggr_mean (4) aggr_avg_11-aggr_avg_14; - -do i=1 to 4; -if round_SDQ_age12=10+i then do; -aggr_raw(i)=score_AGR12_raw; -aggr_pro(i)=score_AGR12_pro; -aggr_mean(i)=score_AGR12_mean; -end; -end;", -PELAGIE,pelagie_GC_q11,DATECAST,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,asd_age_12,complete,final,,asd_age_12=(datecast-ddn_2021)/365.2422;, -PELAGIE,pelagie_q12,"VQ_Q7_5,VQ_Q7_7,VQ_Q7_12,VQ_Q7_18,VQ_Q7_22",,,ATHLETE_CDM,outcome_ath,aggr_pro_14,complete,final,,"array AGR{5} VQ_Q7_5 VQ_Q7_7 VQ_Q7_12 VQ_Q7_18 VQ_Q7_22; -AGRi=N(of AGR{*}); AGRp=AGRi/5; - -if AGRp>=0.75 then do; -score_AGR12_raw=sum(of AGR{*}); -score_AGR12_mean=score_AGR12_raw/AGRi; -score_AGR12_pro=round(score_AGR12_mean*5,1); -end; -else do; score_AGR12_raw=.; score_AGR12_mean=.; score_AGR12_pro=.; -end; - -array aggr_raw (4) aggr_raw_11-aggr_raw_14; -array aggr_pro (4) aggr_pro_11-aggr_pro_14; -array aggr_mean (4) aggr_avg_11-aggr_avg_14; - -do i=1 to 4; -if round_SDQ_age12=10+i then do; -aggr_raw(i)=score_AGR12_raw; -aggr_pro(i)=score_AGR12_pro; -aggr_mean(i)=score_AGR12_mean; -end; -end;", -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,aggr_age_8,complete,final,,aggr_age_8=(QE6_Date_Reponse_JJMMAAAA-ddn_2021)/365.2422;, -PELAGIE,harmonized,NVI_INSTR_5,,,LifeCycle_CDM,outcome,nvi_instr_5,partial,final,Only 1 task : Cubes to assess Perceptive Reasoning,nvi_instr_5=57;,Only 1 task : Cubes to assess Perceptive Reasoning -PELAGIE,harmonized,AGGR_PRO_1,,,ATHLETE_CDM,outcome_ath,aggr_pc_1,partial,final,,"CPT2$aggr_pc_1<-xtile(CPT2$aggr_pro_1, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children - -Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,harmonized,AGGR_PRO_2,,,ATHLETE_CDM,outcome_ath,aggr_pc_2,partial,final,,"CPT2$aggr_pc_2<-xtile(CPT2$aggr_pro_2, n=100)","Percentile variables were generated only for years where information on prorated score was available for more than 10 children - -Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,harmonized,AGGR_INSTR_2,,,ATHLETE_CDM,outcome_ath,aggr_instr_2,partial,final,,instr=13;,"Partial CBCL scale: -(1) how often would you say that your child has been rebellious or refused to obey? -(2) how often would you say your child has been in a fight? -(3) how often would you say that your child did not seem to feel remorse after misbehaving? -(4) how often would you say that your child has not changed their behaviour after being punished? -(5) how often would you say your child has physically attacked others? -(6) how often would you say that your child has hit, bitten or kicked other children?" -PELAGIE,harmonized,AGGR_INSTR_11,,,ATHLETE_CDM,outcome_ath,aggr_instr_11,complete,final,,instr=47;, -PELAGIE,harmonized,AGGR_INSTR_12,,,ATHLETE_CDM,outcome_ath,aggr_instr_12,complete,final,,instr=47;, -PELAGIE,harmonized,AGGR_INSTR_13,,,ATHLETE_CDM,outcome_ath,aggr_instr_13,complete,final,,instr=47;, -PELAGIE,pelagie_GC_q11,"Q1CAST1_N,Q1CAST2_N,Q1CAST5_N,Q1CAST6,Q1CAST7,Q1CAST8_N,Q1CAST9,Q1CAST10_N,Q1CAST11_N,Q1CAST13_N,Q1CAST14,Q1CAST15_N,Q1CAST16_N,Q1CAST17_N,Q1CAST18,Q1CAST19,Q1CAST20,Q1CAST21_N,Q1CAST23_N,Q1CAST24_N,Q1CAST25,Q1CAST27_N,Q1CAST28,Q1CAST29,Q1CAST30,Q1CAST31_N,Q1CAST32,Q1CAST34,Q1CAST35_N,Q1CAST36,Q1CAST37",,,LifeCycle_CDM,outcome,asd_raw_11,complete,final,"31 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)","array CAST{31} Q1CAST1_n Q1CAST2_n Q1CAST5_n Q1CAST6 Q1CAST7 Q1CAST8_n Q1CAST9 Q1CAST10_n Q1CAST11_n Q1CAST13_n Q1CAST14 Q1CAST15_n -Q1CAST16_n Q1CAST17_n Q1CAST18 Q1CAST19 Q1CAST20 Q1CAST21_n Q1CAST23_n Q1CAST24_n Q1CAST25 Q1CAST27_n Q1CAST28 Q1CAST29 Q1CAST30 Q1CAST31_n -Q1CAST32 Q1CAST34 Q1CAST35_n Q1CAST36 Q1CAST37 ; - -CASTi=N(of CAST{*}); CASTp=CASTi/31; - -if CASTp>=0.75 then do; -CAST12_raw=sum(of CAST{*}); -CAST12_mean=CAST12_raw/CASTi; -CAST12_pro=round(CAST12_mean*31,1); -end;","31 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)" -PELAGIE,pelagie_GC_q11,"Q1CAST1_N,Q1CAST2_N,Q1CAST5_N,Q1CAST6,Q1CAST7,Q1CAST8_N,Q1CAST9,Q1CAST10_N,Q1CAST11_N,Q1CAST13_N,Q1CAST14,Q1CAST15_N,Q1CAST16_N,Q1CAST17_N,Q1CAST18,Q1CAST19,Q1CAST20,Q1CAST21_N,Q1CAST23_N,Q1CAST24_N,Q1CAST25,Q1CAST27_N,Q1CAST28,Q1CAST29,Q1CAST30,Q1CAST31_N,Q1CAST32,Q1CAST34,Q1CAST35_N,Q1CAST36,Q1CAST37",,,LifeCycle_CDM,outcome,asd_raw_12,complete,final,"32 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)","array CAST{31} Q1CAST1_n Q1CAST2_n Q1CAST5_n Q1CAST6 Q1CAST7 Q1CAST8_n Q1CAST9 Q1CAST10_n Q1CAST11_n Q1CAST13_n Q1CAST14 Q1CAST15_n -Q1CAST16_n Q1CAST17_n Q1CAST18 Q1CAST19 Q1CAST20 Q1CAST21_n Q1CAST23_n Q1CAST24_n Q1CAST25 Q1CAST27_n Q1CAST28 Q1CAST29 Q1CAST30 Q1CAST31_n -Q1CAST32 Q1CAST34 Q1CAST35_n Q1CAST36 Q1CAST37 ; - -CASTi=N(of CAST{*}); CASTp=CASTi/31; - -if CASTp>=0.75 then do; -CAST12_raw=sum(of CAST{*}); -CAST12_mean=CAST12_raw/CASTi; -CAST12_pro=round(CAST12_mean*31,1); -end;","32 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)" -PELAGIE,pelagie_GC_q11,"Q1CAST1_N,Q1CAST2_N,Q1CAST5_N,Q1CAST6,Q1CAST7,Q1CAST8_N,Q1CAST9,Q1CAST10_N,Q1CAST11_N,Q1CAST13_N,Q1CAST14,Q1CAST15_N,Q1CAST16_N,Q1CAST17_N,Q1CAST18,Q1CAST19,Q1CAST20,Q1CAST21_N,Q1CAST23_N,Q1CAST24_N,Q1CAST25,Q1CAST27_N,Q1CAST28,Q1CAST29,Q1CAST30,Q1CAST31_N,Q1CAST32,Q1CAST34,Q1CAST35_N,Q1CAST36,Q1CAST37",,,LifeCycle_CDM,outcome,asd_pro_11,complete,final,"33 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)","array CAST{31} Q1CAST1_n Q1CAST2_n Q1CAST5_n Q1CAST6 Q1CAST7 Q1CAST8_n Q1CAST9 Q1CAST10_n Q1CAST11_n Q1CAST13_n Q1CAST14 Q1CAST15_n -Q1CAST16_n Q1CAST17_n Q1CAST18 Q1CAST19 Q1CAST20 Q1CAST21_n Q1CAST23_n Q1CAST24_n Q1CAST25 Q1CAST27_n Q1CAST28 Q1CAST29 Q1CAST30 Q1CAST31_n -Q1CAST32 Q1CAST34 Q1CAST35_n Q1CAST36 Q1CAST37 ; - -CASTi=N(of CAST{*}); CASTp=CASTi/31; - -if CASTp>=0.75 then do; -CAST12_raw=sum(of CAST{*}); -CAST12_mean=CAST12_raw/CASTi; -CAST12_pro=round(CAST12_mean*31,1); -end;","33 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)" -PELAGIE,harmonized,ASD_INSTR_11,,,LifeCycle_CDM,outcome,asd_instr_11,complete,final,,asd_instr_11=12;, -PELAGIE,harmonized,ASD_INSTR_12,,,LifeCycle_CDM,outcome,asd_instr_12,complete,final,,asd_instr_12=12;, -PELAGIE,pepsy,WISCC,,,LifeCycle_CDM,outcome,nvi_raw_6,partial,final,Only the CUBES task to assess perceptive reasoning,"array NV{1} WISCc; NVi=N(of NV{*}); NVp=NVi/1; if NVp>=0.75 then do; -NV12_raw=sum(of NV{*}); -NV12_mean=NV12_raw/NVi; -NV12_pro=round(NV12_mean*1,1); -end;",Only the CUBES task to assess perceptive reasoning -PELAGIE,BDD_phtalates_phenols,"BP_F,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_bpf_raw_t2,complete,final,,BDD_phtalates_phenols$m_bpf_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$BP_F, -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_151,complete,final,,biomes_151=0;, -PELAGIE,pelagie_GC_q11,"Q1CAST1_N,Q1CAST2_N,Q1CAST5_N,Q1CAST6,Q1CAST7,Q1CAST8_N,Q1CAST9,Q1CAST10_N,Q1CAST11_N,Q1CAST13_N,Q1CAST14,Q1CAST15_N,Q1CAST16_N,Q1CAST17_N,Q1CAST18,Q1CAST19,Q1CAST20,Q1CAST21_N,Q1CAST23_N,Q1CAST24_N,Q1CAST25,Q1CAST27_N,Q1CAST28,Q1CAST29,Q1CAST30,Q1CAST31_N,Q1CAST32,Q1CAST34,Q1CAST35_N,Q1CAST36,Q1CAST37",,,LifeCycle_CDM,outcome,asd_pro_12,complete,final,"34 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)","array CAST{31} Q1CAST1_n Q1CAST2_n Q1CAST5_n Q1CAST6 Q1CAST7 Q1CAST8_n Q1CAST9 Q1CAST10_n Q1CAST11_n Q1CAST13_n Q1CAST14 Q1CAST15_n -Q1CAST16_n Q1CAST17_n Q1CAST18 Q1CAST19 Q1CAST20 Q1CAST21_n Q1CAST23_n Q1CAST24_n Q1CAST25 Q1CAST27_n Q1CAST28 Q1CAST29 Q1CAST30 Q1CAST31_n -Q1CAST32 Q1CAST34 Q1CAST35_n Q1CAST36 Q1CAST37 ; - -CASTi=N(of CAST{*}); CASTp=CASTi/31; - -if CASTp>=0.75 then do; -CAST12_raw=sum(of CAST{*}); -CAST12_mean=CAST12_raw/CASTi; -CAST12_pro=round(CAST12_mean*31,1); -end;","34 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)" -PELAGIE,pelagie_GC_q11,"Q1CAST1_N,Q1CAST2_N,Q1CAST5_N,Q1CAST6,Q1CAST7,Q1CAST8_N,Q1CAST9,Q1CAST10_N,Q1CAST11_N,Q1CAST13_N,Q1CAST14,Q1CAST15_N,Q1CAST16_N,Q1CAST17_N,Q1CAST18,Q1CAST19,Q1CAST20,Q1CAST21_N,Q1CAST23_N,Q1CAST24_N,Q1CAST25,Q1CAST27_N,Q1CAST28,Q1CAST29,Q1CAST30,Q1CAST31_N,Q1CAST32,Q1CAST34,Q1CAST35_N,Q1CAST36,Q1CAST37",,,LifeCycle_CDM,outcome,asd_avg_11,complete,final,"35 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)","array CAST{31} Q1CAST1_n Q1CAST2_n Q1CAST5_n Q1CAST6 Q1CAST7 Q1CAST8_n Q1CAST9 Q1CAST10_n Q1CAST11_n Q1CAST13_n Q1CAST14 Q1CAST15_n -Q1CAST16_n Q1CAST17_n Q1CAST18 Q1CAST19 Q1CAST20 Q1CAST21_n Q1CAST23_n Q1CAST24_n Q1CAST25 Q1CAST27_n Q1CAST28 Q1CAST29 Q1CAST30 Q1CAST31_n -Q1CAST32 Q1CAST34 Q1CAST35_n Q1CAST36 Q1CAST37 ; - -CASTi=N(of CAST{*}); CASTp=CASTi/31; - -if CASTp>=0.75 then do; -CAST12_raw=sum(of CAST{*}); -CAST12_mean=CAST12_raw/CASTi; -CAST12_pro=round(CAST12_mean*31,1); -end;","35 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)" -PELAGIE,pelagie_GC_q11,"Q1CAST1_N,Q1CAST2_N,Q1CAST5_N,Q1CAST6,Q1CAST7,Q1CAST8_N,Q1CAST9,Q1CAST10_N,Q1CAST11_N,Q1CAST13_N,Q1CAST14,Q1CAST15_N,Q1CAST16_N,Q1CAST17_N,Q1CAST18,Q1CAST19,Q1CAST20,Q1CAST21_N,Q1CAST23_N,Q1CAST24_N,Q1CAST25,Q1CAST27_N,Q1CAST28,Q1CAST29,Q1CAST30,Q1CAST31_N,Q1CAST32,Q1CAST34,Q1CAST35_N,Q1CAST36,Q1CAST37",,,LifeCycle_CDM,outcome,asd_avg_12,complete,final,"36 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)","array CAST{31} Q1CAST1_n Q1CAST2_n Q1CAST5_n Q1CAST6 Q1CAST7 Q1CAST8_n Q1CAST9 Q1CAST10_n Q1CAST11_n Q1CAST13_n Q1CAST14 Q1CAST15_n -Q1CAST16_n Q1CAST17_n Q1CAST18 Q1CAST19 Q1CAST20 Q1CAST21_n Q1CAST23_n Q1CAST24_n Q1CAST25 Q1CAST27_n Q1CAST28 Q1CAST29 Q1CAST30 Q1CAST31_n -Q1CAST32 Q1CAST34 Q1CAST35_n Q1CAST36 Q1CAST37 ; - -CASTi=N(of CAST{*}); CASTp=CASTi/31; - -if CASTp>=0.75 then do; -CAST12_raw=sum(of CAST{*}); -CAST12_mean=CAST12_raw/CASTi; -CAST12_pro=round(CAST12_mean*31,1); -end;","36 items included for scoring (items 3, 4, 12, 22, 26 and 33 are controls, not considered)" -PELAGIE,harmonized,ASD_PRO_11,,,LifeCycle_CDM,outcome,asd_pc_11,complete,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"CAST$asd_pc_11<-xtile(CAST$asd_pro_11, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pelagie_GC_q11,DATECAST,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,asd_age_11,complete,final,,asd_age_11=(datecast-ddn_2021)/365.2422;, -PELAGIE,pepsy,WISCC,,,LifeCycle_CDM,outcome,nvi_avg_5,partial,final,Only 1 task : Cubes to assess Perceptive Reasoning,"array NV{1} WISCc; NVi=N(of NV{*}); NVp=NVi/1; if NVp>=0.75 then do; -NV12_raw=sum(of NV{*}); -NV12_mean=NV12_raw/NVi; -NV12_pro=round(NV12_mean*1,1); -end;",Only 1 task : Cubes to assess Perceptive Reasoning -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM_CDM,PERSONS,race,complete,,Leave_empty,, -PELAGIE,harmonized,NVI_PRO_6,,,LifeCycle_CDM,outcome,nvi_std_6,partial,final,Standardized variables were generated only for years where information on prorated score was available for more than 10 children,nvi_std_6=((nvi_pro_6-11.2342007)/2.6047068)*15 + 100;,Standardized variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,nvi_age_5,complete,final,,nvi_age_5=(date_RDV-ddn_2021)/365.2422;, -PELAGIE,pepsy,"WISCMC,WISCSLC",,,LifeCycle_CDM,outcome,wm_pro_5,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,"array WM{2} WISCMC WISCSLC; WMi=N(of WM{*}); WMp=WMi/2; -if WMp>=0.75 then do; -WM12_raw=sum(of WM{*}); -WM12_mean=WM12_raw/WMi; -WM12_pro=round(WM12_mean*2,1); -end;",Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory -PELAGIE,pepsy,"WISCMC,WISCSLC",,,LifeCycle_CDM,outcome,wm_pro_6,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,"array WM{2} WISCMC WISCSLC; WMi=N(of WM{*}); WMp=WMi/2; -if WMp>=0.75 then do; -WM12_raw=sum(of WM{*}); -WM12_mean=WM12_raw/WMi; -WM12_pro=round(WM12_mean*2,1); -end;",Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory -PELAGIE,pepsy,"WISCMC,WISCSLC",,,LifeCycle_CDM,outcome,wm_avg_5,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,"array WM{2} WISCMC WISCSLC; WMi=N(of WM{*}); WMp=WMi/2; -if WMp>=0.75 then do; -WM12_raw=sum(of WM{*}); -WM12_mean=WM12_raw/WMi; -WM12_pro=round(WM12_mean*2,1); -end;",Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory -PELAGIE,pepsy,"WISCMC,WISCSLC",,,LifeCycle_CDM,outcome,wm_avg_6,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,"array WM{2} WISCMC WISCSLC; WMi=N(of WM{*}); WMp=WMi/2; -if WMp>=0.75 then do; -WM12_raw=sum(of WM{*}); -WM12_mean=WM12_raw/WMi; -WM12_pro=round(WM12_mean*2,1); -end;",Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory -PELAGIE,harmonized,WM_PRO_6,,,LifeCycle_CDM,outcome,wm_pc_6,partial,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"WISC$wm_pc_6<-xtile(WISC$wm_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,harmonized,OMISSION,,,ATHLETE_CDM,outcome_ath,att_om_std_6,partial,final,,omission_std=omission/177;,"Test=R-CPT90. 3 target items were excluded (Items 1, 2 and 12) because of technical errors (N=177 target items instead of 200, N=20 non-target items)" -PELAGIE,harmonized,LAN_INSTR_6,,,LifeCycle_CDM,outcome,lan_instr_6,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index",lan_instr_6=59;,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index" -RMR,RMR,,,,OOM_CDM,SURVEY_OBSERVATIONS,so_source_value,complete,,As specified above,, -PELAGIE,harmonized,WM_PRO_6,,,LifeCycle_CDM,outcome,wm_std_6,partial,final,Standardized variables were generated only for years where information on prorated score was available for more than 10 children,wm_std_6=((wm_pro_6-22.6848249)/4.5780859)*15 + 100;,Standardized variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,wm_age_5,complete,final,,wm_age_5=(date_RDV-ddn_2021)/365.2422;, -PELAGIE,harmonized,WM_INSTR_5,,,LifeCycle_CDM,outcome,wm_instr_5,partial,final,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory,wm_instr_5=59;,Only 2 tasks : Digit Span and Letter Number Sequencing to assess Working Memory -PELAGIE,harmonized,COMMISSION,,,ATHLETE_CDM,outcome_ath,att_com_std_6,partial,final,,commission_std=commission/20;,Test=R-CPT90. 20 non-target items -SPF,SPF,,,,OOM_CDM,MEDICINES,prescriber_speciality,complete,,,, -PELAGIE,pepsy,"WISCS,WISCV,WISCCO",,,LifeCycle_CDM,outcome,lan_raw_5,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index","array L{3} WISCS WISCV WISCco; Li=N(of L{*}); Lp=Li/3; - if Lp>=0.75 then do; -L12_raw=sum(of L{*}); -L12_mean=L12_raw/Li; -L12_pro=round(L12_mean*3,1); -end;","Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index" -PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,ATHLETE_CDM,outcome_ath,att_age_6,complete,final,,ATT_age=(date_RDV-ddn_2021)/365.2422;, -PELAGIE,pepsy,"WISCS,WISCV,WISCCO",,,LifeCycle_CDM,outcome,lan_raw_6,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index","array L{3} WISCS WISCV WISCco; Li=N(of L{*}); Lp=Li/3; - if Lp>=0.75 then do; -L12_raw=sum(of L{*}); -L12_mean=L12_raw/Li; -L12_pro=round(L12_mean*3,1); -end;","Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index" -PELAGIE,pepsy,"WISCS,WISCV,WISCCO",,,LifeCycle_CDM,outcome,lan_pro_5,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index","array L{3} WISCS WISCV WISCco; Li=N(of L{*}); Lp=Li/3; - if Lp>=0.75 then do; -L12_raw=sum(of L{*}); -L12_mean=L12_raw/Li; -L12_pro=round(L12_mean*3,1); -end;","Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index" -PELAGIE,pepsy,"WISCS,WISCV,WISCCO",,,LifeCycle_CDM,outcome,lan_pro_6,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index","array L{3} WISCS WISCV WISCco; Li=N(of L{*}); Lp=Li/3; - if Lp>=0.75 then do; -L12_raw=sum(of L{*}); -L12_mean=L12_raw/Li; -L12_pro=round(L12_mean*3,1); -end;","Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index" -PELAGIE,pepsy,"WISCS,WISCV,WISCCO",,,LifeCycle_CDM,outcome,lan_avg_5,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index","array L{3} WISCS WISCV WISCco; Li=N(of L{*}); Lp=Li/3; - if Lp>=0.75 then do; -L12_raw=sum(of L{*}); -L12_mean=L12_raw/Li; -L12_pro=round(L12_mean*3,1); -end;","Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index" -PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle_CDM,outcome,hipcircmes_155,complete,final,,hipcircmes_155=0;, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_cxminp_lod_t1,complete,final,,BDD_phtalates_phenols$m_cxminp_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.70, -PELAGIE,pepsy,"WISCS,WISCV,WISCCO",,,LifeCycle_CDM,outcome,lan_avg_6,partial,final,"Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index","array L{3} WISCS WISCV WISCco; Li=N(of L{*}); Lp=Li/3; - if Lp>=0.75 then do; -L12_raw=sum(of L{*}); -L12_mean=L12_raw/Li; -L12_pro=round(L12_mean*3,1); -end;","Only 3 tasks : Similarities, Vocabulary, and Comprehension to the assess Verbal Comprehension Index" -PELAGIE,harmonized,LAN_PRO_6,,,LifeCycle_CDM,outcome,lan_pc_6,partial,final,Percentile variables were generated only for years where information on prorated score was available for more than 10 children,"WISC$lan_pc_6<-xtile(WISC$lan_pro_6, n=100)",Percentile variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,harmonized,LAN_PRO_6,,,LifeCycle_CDM,outcome,lan_std_6,partial,final,Standardized variables were generated only for years where information on prorated score was available for more than 10 children,lan_std_6=((lan_pro_6-33.4855072)/7.6231566)*15 + 100;,Standardized variables were generated only for years where information on prorated score was available for more than 10 children -PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,lan_age_5,complete,final,,lan_age_5=(date_RDV-ddn_2021)/365.2422;, -PELAGIE,pepsy,DATE_RDV,maj_ddn_2021,DDN_2021,LifeCycle_CDM,outcome,lan_age_6,complete,final,,lan_age_6=(date_RDV-ddn_2021)/365.2422;, -PELAGIE,pepsy,OMISSION,,,ATHLETE_CDM,outcome_ath,att_om_raw_5,partial,final,,"proc sql; -create table ATTENTION as select unique id, sum(target) as nbtarget, sum(non_target) as nbntarget, - sum(correct) as correct, sum(target_ok) as target, sum(non_target_ok) as ntarget, - sum (omission) as omission, sum(omission_non_target) as commission -from pep.CPT2018COMPIL -group by id; -run; quit;","Test=R-CPT90. 3 target items were excluded (Items 1, 2 and 12) because of technical errors (N=177 target items instead of 200, N=20 non-target items)" -PELAGIE,pepsy,OMISSION,,,ATHLETE_CDM,outcome_ath,att_om_raw_6,partial,final,,"proc sql; -create table ATTENTION as select unique id, sum(target) as nbtarget, sum(non_target) as nbntarget, - sum(correct) as correct, sum(target_ok) as target, sum(non_target_ok) as ntarget, - sum (omission) as omission, sum(omission_non_target) as commission -from pep.CPT2018COMPIL -group by id; -run; quit;","Test=R-CPT90. 3 target items were excluded (Items 1, 2 and 12) because of technical errors (N=177 target items instead of 200, N=20 non-target items)" -PELAGIE,pepsy,OMISSION_NON_TARGET,,,ATHLETE_CDM,outcome_ath,att_com_raw_5,partial,final,,"proc sql; -create table ATTENTION as select unique id, sum(target) as nbtarget, sum(non_target) as nbntarget, - sum(correct) as correct, sum(target_ok) as target, sum(non_target_ok) as ntarget, - sum (omission) as omission, sum(omission_non_target) as commission -from pep.CPT2018COMPIL -group by id; -run; quit;",Test=R-CPT90. 20 non-target items -PELAGIE,BDD_phtalates_phenols,"MIBP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mibp_raw_t1,complete,final,,BDD_phtalates_phenols$m_mibp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MiBP, -PELAGIE,pepsy,OMISSION_NON_TARGET,,,ATHLETE_CDM,outcome_ath,att_com_raw_6,partial,final,,"proc sql; -create table ATTENTION as select unique id, sum(target) as nbtarget, sum(non_target) as nbntarget, - sum(correct) as correct, sum(target_ok) as target, sum(non_target_ok) as ntarget, - sum (omission) as omission, sum(omission_non_target) as commission -from pep.CPT2018COMPIL -group by id; -run; quit;",Test=R-CPT90. 20 non-target items -PELAGIE,harmonized,ATT_OM_STD_6,,,ATHLETE_CDM,outcome_ath,att_om_pc_6,partial,final,,"ATT$att_om_pc_6<-xtile(ATT$att_om_std_6, n=100)",Percentile variables were generated only for years where information on standardized score was available for more than 10 children -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_bpf_lod_t1,complete,final,,BDD_phtalates_phenols$m_bpf_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20, -PELAGIE,BDD_phtalates_phenols,"TRCS,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_trcs_raw_t1,complete,final,,BDD_phtalates_phenols$m_trcs_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$TRCS, -PELAGIE,BDD_phtalates_phenols,"TRCS,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_trcs_raw_t2,complete,final,,BDD_phtalates_phenols$m_trcs_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$TRCS, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_trcs_lod_t2,complete,final,,BDD_phtalates_phenols$m_trcs_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.04, -PELAGIE,BDD_phtalates_phenols,"MEP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mep_raw_t1,complete,final,,BDD_phtalates_phenols$m_mep_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MEP, -PELAGIE,BDD_phtalates_phenols,"MEP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mep_raw_t2,complete,final,,BDD_phtalates_phenols$m_mep_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MEP, -PELAGIE,BDD_phtalates_phenols,"MEOHP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_meohp_raw_t1,complete,final,,BDD_phtalates_phenols$m_meohp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MEOHP, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mep_lod_t1,complete,final,,"BDD_phtalates_phenols$m_mep_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 -BDD_phtalates_phenols$m_mep_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.80", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mep_lod_t2,complete,final,,"BDD_phtalates_phenols$m_mep_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 - -BDD_phtalates_phenols$m_mep_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mibp_lod_t1,complete,final,,"BDD_phtalates_phenols$m_mibp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 - -BDD_phtalates_phenols$m_mibp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.30", -PELAGIE,BDD_phtalates_phenols,"OHMINCH,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_ohminch_raw_t1,complete,final,,BDD_phtalates_phenols$m_ohminch_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$ohMINCH, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mibp_lod_t2,complete,final,,"BDD_phtalates_phenols$m_mibp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 - -BDD_phtalates_phenols$m_mibp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.80", -PELAGIE,BDD_phtalates_phenols,"MNBP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mnbp_raw_t1,complete,final,,BDD_phtalates_phenols$m_mnbp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MnBP, -PELAGIE,BDD_phtalates_phenols,"MNBP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mnbp_raw_t2,complete,final,,BDD_phtalates_phenols$m_mnbp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MnBP, -PELAGIE,BDD_phtalates_phenols,"MEOHP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_meohp_raw_t2,complete,final,,BDD_phtalates_phenols$m_meohp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MEOHP, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mnbp_lod_t1,complete,final,,"BDD_phtalates_phenols$m_mnbp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 -BDD_phtalates_phenols$m_mnbp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.60", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mnbp_lod_t2,complete,final,,"BDD_phtalates_phenols$m_mnbp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 - -BDD_phtalates_phenols$m_mnbp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.60", -PELAGIE,BDD_phtalates_phenols,"MBZP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mbzp_raw_t1,complete,final,,BDD_phtalates_phenols$m_mbzp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MBzP, -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_152,complete,final,,biomes_152=0;, -PELAGIE,BDD_phtalates_phenols,"MBZP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mbzp_raw_t2,complete,final,,BDD_phtalates_phenols$m_mbzp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MBzP, -PELAGIE,BDD_phtalates_phenols,"CXMINP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_cxminp_raw_t1,complete,final,,BDD_phtalates_phenols$m_cxminp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$cxMiNP, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mbzp_lod_t1,complete,final,,"BDD_phtalates_phenols$m_mbzp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 - -BDD_phtalates_phenols$m_mbzp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.30", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mbzp_lod_t2,complete,final,,"BDD_phtalates_phenols$m_mbzp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 - -BDD_phtalates_phenols$m_mbzp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.30", -PELAGIE,BDD_phtalates_phenols,"MEHP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mehp_raw_t1,complete,final,,BDD_phtalates_phenols$m_mehp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MEHP, -PELAGIE,BDD_phtalates_phenols,"MEHP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mehp_raw_t2,complete,final,,BDD_phtalates_phenols$m_mehp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MEHP, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mehp_lod_t1,complete,final,,"BDD_phtalates_phenols$m_mehp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 -BDD_phtalates_phenols$m_mehp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-1.20", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_ohminp_lod_t2,complete,final,,BDD_phtalates_phenols$m_ohminp_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20, -RMR,RMR,,,,OOM_CDM,SURVEY_OBSERVATIONS,so_meaning,complete,,‘death_registry’,, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mehp_lod_t2,complete,final,,"BDD_phtalates_phenols$m_mehp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 - -BDD_phtalates_phenols$m_mehp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-1.20", -PELAGIE,BDD_phtalates_phenols,"MEHHP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mehhp_raw_t1,complete,final,,BDD_phtalates_phenols$m_mehhp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MEHHP, -PELAGIE,BDD_phtalates_phenols,"MEHHP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mehhp_raw_t2,complete,final,,BDD_phtalates_phenols$m_mehhp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MEHHP, -PELAGIE,BDD_phtalates_phenols,"CXMINP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_cxminp_raw_t2,complete,final,,BDD_phtalates_phenols$m_cxminp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$cxMiNP, -PELAGIE,BDD_phtalates_phenols,"OHMPHP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_ohmphp_raw_t1,complete,final,,BDD_phtalates_phenols$m_ohmphp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$ohMPHP, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mehhp_lod_t1,complete,final,,"BDD_phtalates_phenols$m_mehhp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 - -BDD_phtalates_phenols$m_mehhp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.70", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mehhp_lod_t2,complete,final,,"BDD_phtalates_phenols$m_mehhp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 - -BDD_phtalates_phenols$m_mehhp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.70", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_meohp_lod_t1,complete,final,,"BDD_phtalates_phenols$m_meohp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 -BDD_phtalates_phenols$m_meohp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.70", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_meohp_lod_t2,complete,final,,"BDD_phtalates_phenols$m_meohp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.20 -BDD_phtalates_phenols$m_meohp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.70", -PELAGIE,BDD_phtalates_phenols,"MECPP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mecpp_raw_t1,complete,final,,BDD_phtalates_phenols$m_mecpp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MECPP, -PELAGIE,BDD_phtalates_phenols,"MECPP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mecpp_raw_t2,complete,final,,BDD_phtalates_phenols$m_mecpp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MECPP, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_160,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mecpp_lod_t1,complete,final,,"BDD_phtalates_phenols$m_mecpp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.70 -BDD_phtalates_phenols$m_mecpp_lod_t1[BDD_phtalates_phenols$SGurineF<=10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.60", -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mecpp_lod_t2,complete,final,,"BDD_phtalates_phenols$m_mecpp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & (BDD_phtalates_phenols$dosages_phtalates_phenols==2 | BDD_phtalates_phenols$dosages_phtalates_phenols==3)]<-0.70 -BDD_phtalates_phenols$m_mecpp_lod_t2[BDD_phtalates_phenols$SGurineF>10 & BDD_phtalates_phenols$dosages_phtalates_phenols==1]<-0.60", -PELAGIE,BDD_phtalates_phenols,"OHMINP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_ohminp_raw_t1,complete,final,,BDD_phtalates_phenols$m_ohminp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$ohMiNP, -PELAGIE,BDD_phtalates_phenols,"OHMINP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_ohminp_raw_t2,complete,final,,BDD_phtalates_phenols$m_ohminp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$ohMiNP, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_ohminp_lod_t1,complete,final,,BDD_phtalates_phenols$m_ohminp_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20, -PELAGIE,BDD_phtalates_phenols,"OXOMINP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_oxominp_raw_t1,complete,final,,BDD_phtalates_phenols$m_oxominp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$oxoMiNP, -PELAGIE,BDD_phtalates_phenols,"OXOMINP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_oxominp_raw_t2,complete,final,,BDD_phtalates_phenols$m_oxominp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$oxoMiNP, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_oxominp_lod_t1,complete,final,,BDD_phtalates_phenols$m_oxominp_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_oxominp_lod_t2,complete,final,,BDD_phtalates_phenols$m_oxominp_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20, -PELAGIE,BDD_OP,CHILDDMTP,,,ATHLETE_CDM,chemicals_ath,c_dmtp_raw_6,complete,final,,BDD_OP$c_dmtp_raw_6<-BDD_OP$CHILDDMTP, -PELAGIE,BDD_phtalates_phenols,"OHMPHP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_ohmphp_raw_t2,complete,final,,BDD_phtalates_phenols$m_ohmphp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$ohMPHP, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_ohmphp_lod_t1,complete,final,,BDD_phtalates_phenols$m_ohmphp_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_ohmphp_lod_t2,complete,final,,BDD_phtalates_phenols$m_ohmphp_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_133,complete,final,,/* too long to be provided and many case by case situations */, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,FINE_RECORD,,,OOM_CDM,OBSERVATION_PERIODS,op_end_date,complete,,,, -PELAGIE,BDD_phtalates_phenols,"OHMINCH,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_ohminch_raw_t2,complete,final,,BDD_phtalates_phenols$m_ohminch_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$ohMINCH, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_ohminch_lod_t1,complete,final,,BDD_phtalates_phenols$m_ohminch_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_ohminch_lod_t2,complete,final,,BDD_phtalates_phenols$m_ohminch_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20, -PELAGIE,BDD_phtalates_phenols,"OXOMINCH,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_oxominch_raw_t1,complete,final,,BDD_phtalates_phenols$m_oxominch_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$oxoMINCH, -PELAGIE,BDD_phtalates_phenols,"OXOMINCH,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_oxominch_raw_t2,complete,final,,BDD_phtalates_phenols$m_oxominch_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$oxoMINCH, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_oxominch_lod_t1,complete,final,,BDD_phtalates_phenols$m_oxominch_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_oxominch_lod_t2,complete,final,,BDD_phtalates_phenols$m_oxominch_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20, -PELAGIE,BDD_phtalates_phenols,"MNPEP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mnpep_raw_t1,complete,final,,BDD_phtalates_phenols$m_mnpep_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MnPeP, -PELAGIE,BDD_phtalates_phenols,"MNPEP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mnpep_raw_t2,complete,final,,BDD_phtalates_phenols$m_mnpep_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MnPeP, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mnpep_lod_t1,complete,final,,BDD_phtalates_phenols$m_mnpep_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.20, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mnpep_lod_t2,complete,final,,BDD_phtalates_phenols$m_mnpep_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_144,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,BDD_phtalates_phenols,"MCHP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mchp_raw_t1,complete,final,,BDD_phtalates_phenols$m_mchp_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MCHP, -PELAGIE,BDD_phtalates_phenols,"MCHP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mchp_raw_t2,complete,final,,BDD_phtalates_phenols$m_mchp_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MCHP, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mchp_lod_t2,complete,final,,BDD_phtalates_phenols$m_mchp_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.20, -PELAGIE,BDD_phtalates_phenols,"MNOP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mnop_raw_t1,complete,final,,BDD_phtalates_phenols$m_mnop_raw_t1[BDD_phtalates_phenols$SGurineF<=10]<-BDD_phtalates_phenols$MnOP, -PELAGIE,BDD_OP,"DMTP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_dmtp_raw_t1,complete,final,,"BDD_OP$m_dmtp_raw_t1<-ifelse(!is.na(BDD_OP$DMTP) & BDD_OP$SGurineF<=10,BDD_OP$DMTP,NA)", -PELAGIE,BDD_phtalates_phenols,"MNOP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_mnop_raw_t2,complete,final,,BDD_phtalates_phenols$m_mnop_raw_t2[BDD_phtalates_phenols$SGurineF>10]<-BDD_phtalates_phenols$MnOP, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mnop_lod_t1,complete,final,,BDD_phtalates_phenols$m_mnop_lod_t1[BDD_phtalates_phenols$SGurineF<=10]<-0.50, -PELAGIE,BDD_phtalates_phenols,SGURINEF,,,ATHLETE_CDM,chemicals_ath,m_mnop_lod_t2,complete,final,,BDD_phtalates_phenols$m_mnop_lod_t2[BDD_phtalates_phenols$SGurineF>10]<-0.50, -PELAGIE,BDD_perfluores,PFHXS,,,ATHLETE_CDM,chemicals_ath,c_pfhxs_raw_birth,partial,final,from cord blood,BDD_perfluores$c_pfhxs_raw_birth<-BDD_perfluores$PFHxS,from cord blood -PELAGIE,harmonized,C_PFHXS_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pfhxs_lod_birth,partial,final,from cord blood,"BDD_perfluores$c_pfhxs_lod_birth<-ifelse(!is.na(BDD_perfluores$c_pfhxs_raw_birth),0.063,NA)",from cord blood -PELAGIE,BDD_perfluores,Q12_PERFLUOROHEXANE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pfhxs_raw_12,complete,final,,"BDD_perfluores$c_pfhxs_raw_12<-ifelse(BDD_perfluores$age_exam<13,BDD_perfluores$Q12_Perfluorohexane_brut,NA)", -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_145,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFHXS_RAW_12Y,ATHLETE_CDM,chemicals_ath,c_pfhxs_lod_12,complete,final,,"BDD_perfluores$c_pfhxs_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfhxs_raw_12y) & BDD_perfluores$EX3==2,0.03,NA) - -BDD_perfluores$c_pfhxs_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfhxs_raw_12y) & BDD_perfluores$EX3==1,0.06,BDD_perfluores$c_pfhxs_lod_12y)", -PELAGIE,BDD_perfluores,PFOA,,,ATHLETE_CDM,chemicals_ath,c_pfoa_raw_birth,partial,final,from cord blood,BDD_perfluores$c_pfoa_raw_birth<-BDD_perfluores$PFOA,from cord blood -PELAGIE,BDD_perfluores,Q12_PERFLUOROHEXANE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pfhxs_raw_13,complete,final,,"BDD_perfluores$c_pfhxs_raw_13<-ifelse(BDD_perfluores$age_exam>=13,BDD_perfluores$Q12_Perfluorohexane_brut,NA)", -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFHXS_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_pfhxs_lod_13,complete,final,,"BDD_perfluores$c_pfhxs_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfhxs_raw_13y) & BDD_perfluores$EX3==2,0.03,NA) - -BDD_perfluores$c_pfhxs_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfhxs_raw_13y) & BDD_perfluores$EX3==1,0.06,BDD_perfluores$c_pfhxs_lod_13y)", -PELAGIE,BDD_perfluores,PFOS,,,ATHLETE_CDM,chemicals_ath,c_pfos_raw_birth,partial,final,from cord blood,BDD_perfluores$c_pfos_raw_birth<-BDD_perfluores$PFOS,from cord blood -PELAGIE,harmonized,C_PFOS_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pfos_lod_birth,partial,final,from cord blood,"BDD_perfluores$c_pfos_lod_birth<-ifelse(!is.na(BDD_perfluores$c_pfos_raw_birth),0.16,NA)",from cord blood -PELAGIE,BDD_perfluores,Q12_PERFLUOROOCTANE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pfos_raw_12,complete,final,,"BDD_perfluores$c_pfos_raw_12<-ifelse(BDD_perfluores$age_exam<13,BDD_perfluores$Q12_Perfluorooctane_brut,NA)", -PELAGIE,BDD_perfluores,Q12_PERFLUORODECANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pfda_raw_12,complete,final,,"BDD_perfluores$c_pfda_raw_12<-ifelse(BDD_perfluores$age_exam<13,BDD_perfluores$Q12_perfluorodecanoique_brut,NA)", -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFOS_RAW_12Y,ATHLETE_CDM,chemicals_ath,c_pfos_lod_12,complete,final,,"BDD_perfluores$c_pfos_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfos_raw_12y) & BDD_perfluores$EX3==2,0.07,NA) -BDD_perfluores$c_pfos_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfos_raw_12y) & BDD_perfluores$EX3==1,0.2,BDD_perfluores$c_pfos_lod_12y)", -PELAGIE,BDD_perfluores,Q12_PERFLUOROOCTANE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pfos_raw_13,complete,final,,"BDD_perfluores$c_pfos_raw_13<-ifelse(BDD_perfluores$age_exam>=13,BDD_perfluores$Q12_Perfluorooctane_brut,NA)", -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFOS_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_pfos_lod_13,complete,final,,"BDD_perfluores$c_pfos_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfos_raw_13y) & BDD_perfluores$EX3==2,0.07,NA) - -BDD_perfluores$c_pfos_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfos_raw_13y) & BDD_perfluores$EX3==1,0.2,BDD_perfluores$c_pfos_lod_13y)", -PELAGIE,harmonized,C_PFOA_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pfoa_lod_birth,partial,final,from cord blood,"BDD_perfluores$c_pfoa_lod_birth<-ifelse(!is.na(BDD_perfluores$c_pfoa_raw_birth),0.066,NA)",from cord blood -PELAGIE,BDD_perfluores,Q12_PERFLUOROOCTANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pfoa_raw_12,complete,final,,"BDD_perfluores$c_pfoa_raw_12<-ifelse(BDD_perfluores$age_exam<13,BDD_perfluores$Q12_perfluorooctanoique_brut,NA)", -PELAGIE,BDD_perfluores,Q12_PERFLUOROUNDECANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pfunda_raw_12,complete,final,,"BDD_perfluores$c_pfunda_raw_12<-ifelse(BDD_perfluores$age_exam<13,BDD_perfluores$Q12_perfluoroundecanoique_brut,NA)", -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFOA_RAW_12Y,ATHLETE_CDM,chemicals_ath,c_pfoa_lod_12,complete,final,,"BDD_perfluores$c_pfoa_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfoa_raw_12y) & BDD_perfluores$EX3==2,0.02,NA) -BDD_perfluores$c_pfoa_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfoa_raw_12y) & BDD_perfluores$EX3==1,0.07,BDD_perfluores$c_pfoa_lod_12y)", -PELAGIE,BDD_perfluores,Q12_PERFLUOROOCTANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pfoa_raw_13,complete,final,,"BDD_perfluores$c_pfoa_raw_13<-ifelse(BDD_perfluores$age_exam>=13,BDD_perfluores$Q12_perfluorooctanoique_brut,NA)", -PELAGIE,BDD_pop,Q12_BPC170,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pcb170_raw_13,complete,final,,"BDD_pop$c_pcb170_raw_13<-ifelse(BDD_pop$age_exam>=13,BDD_pop$Q12_BPC170*943.4,NA)", -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFOA_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_pfoa_lod_13,complete,final,,"BDD_perfluores$c_pfoa_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfoa_raw_13y) & BDD_perfluores$EX3==2,0.02,NA) - -BDD_perfluores$c_pfoa_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfoa_raw_13y) & BDD_perfluores$EX3==1,0.07,BDD_perfluores$c_pfoa_lod_13y)", -PELAGIE,BDD_perfluores,PFNA,,,ATHLETE_CDM,chemicals_ath,c_pfna_raw_birth,partial,final,from cord blood,BDD_perfluores$c_pfna_raw_birth<-BDD_perfluores$PFNA,from cord blood -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_146,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,C_PFNA_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pfna_lod_birth,partial,final,from cord blood,"BDD_perfluores$c_pfna_lod_birth<-ifelse(!is.na(BDD_perfluores$c_pfna_raw_birth),0.085,NA)",from cord blood -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_154,complete,final,,biomes_154=0;, -PELAGIE,BDD_perfluores,Q12_PERFLUORONONANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pfna_raw_12,complete,final,,"BDD_perfluores$c_pfna_raw_12<-ifelse(BDD_perfluores$age_exam<13,BDD_perfluores$Q12_perfluorononanoique_brut,NA)", -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFNA_RAW_12,ATHLETE_CDM,chemicals_ath,c_pfna_lod_12,complete,final,,"BDD_perfluores$c_pfna_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfna_raw_12y) & BDD_perfluores$EX3==2,0.01,NA) -BDD_perfluores$c_pfna_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfna_raw_12y) & BDD_perfluores$EX3==1,0.09,BDD_perfluores$c_pfna_lod_12y)", -PELAGIE,BDD_perfluores,Q12_PERFLUORONONANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pfna_raw_13,complete,final,,"BDD_perfluores$c_pfna_raw_13<-ifelse(BDD_perfluores$age_exam>=13,BDD_perfluores$Q12_perfluorononanoique_brut,NA)", -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFNA_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_pfna_lod_13,complete,final,,"BDD_perfluores$c_pfna_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfna_raw_13y) & BDD_perfluores$EX3==2,0.01,NA) -BDD_perfluores$c_pfna_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfna_raw_13y) & BDD_perfluores$EX3==1,0.09,BDD_perfluores$c_pfna_lod_13y)", -PELAGIE,BDD_perfluores,PFDA,,,ATHLETE_CDM,chemicals_ath,c_pfda_raw_birth,partial,final,from cord blood,BDD_perfluores$c_pfda_raw_birth<-BDD_perfluores$PFDA,from cord blood -PELAGIE,harmonized,C_PFDA_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pfda_lod_birth,partial,final,from cord blood,"BDD_perfluores$c_pfda_lod_birth<-ifelse(!is.na(BDD_perfluores$c_pfda_raw_birth),0.058,NA)",from cord blood -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFDA_RAW_12Y,ATHLETE_CDM,chemicals_ath,c_pfda_lod_12,complete,final,,"BDD_perfluores$c_pfda_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfda_raw_12y) & BDD_perfluores$EX3==2,0.01,NA) - -BDD_perfluores$c_pfda_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfda_raw_12y) & BDD_perfluores$EX3==1,0.06,BDD_perfluores$c_pfda_lod_12y)", -PELAGIE,BDD_pop,Q12_BPC118,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pcb118_raw_12,complete,final,,"BDD_pop$c_pcb118_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_BPC118*943.4,NA)", -PELAGIE,BDD_OP,CHILDDEP,,,ATHLETE_CDM,chemicals_ath,c_dep_raw_6,complete,final,,BDD_OP$c_dep_raw_6<-BDD_OP$CHILDDEP, -PELAGIE,BDD_perfluores,Q12_PERFLUORODECANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pfda_raw_13,complete,final,,"BDD_perfluores$c_pfda_raw_13<-ifelse(BDD_perfluores$age_exam>=13,BDD_perfluores$Q12_perfluorodecanoique_brut,NA)", -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFDA_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_pfda_lod_13,complete,final,,"BDD_perfluores$c_pfda_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfda_raw_13y) & BDD_perfluores$EX3==2,0.01,NA) - -BDD_perfluores$c_pfda_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfda_raw_13y) & BDD_perfluores$EX3==1,0.01,BDD_perfluores$c_pfda_lod_13y)", -PELAGIE,BDD_perfluores,PFUDA,,,ATHLETE_CDM,chemicals_ath,c_pfunda_raw_birth,partial,final,from cord blood,BDD_perfluores$c_pfunda_raw_birth<-BDD_perfluores$PFUDA,from cord blood -PELAGIE,harmonized,C_PFUNDA_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pfunda_lod_birth,partial,final,from cord blood,"BDD_perfluores$c_pfunda_lod_birth<-ifelse(!is.na(BDD_perfluores$c_pfunda_raw_birth),0.048,NA)",from cord blood -PELAGIE,BDD_pop,Q12_BPC138,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pcb138_raw_12,complete,final,,"BDD_pop$c_pcb138_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_BPC138*943.4,NA)", -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFUNDA_RAW_12Y,ATHLETE_CDM,chemicals_ath,c_pfunda_lod_12,complete,final,,"BDD_perfluores$c_pfunda_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfunda_raw_12y) & BDD_perfluores$EX3==2,0.01,NA) -BDD_perfluores$c_pfunda_lod_12<-ifelse(BDD_perfluores$age_exam<13 & !is.na(BDD_perfluores$c_pfunda_raw_12y) & BDD_perfluores$EX3==2,0.01,NA)", -PELAGIE,BDD_perfluores,Q12_PERFLUOROUNDECANOIQUE_BRUT,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pfunda_raw_13,complete,final,,"BDD_perfluores$c_pfunda_raw_13<-ifelse(BDD_perfluores$age_exam>=13,BDD_perfluores$Q12_perfluoroundecanoique_brut,NA)", -PELAGIE,harmonized,C_MEAA_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_meaa_lod_6,complete,final,,"BDD_ethers$c_meaa_lod_6<-ifelse(!is.na(BDD_ethers$c_meaa_raw_6y),3,NA)", -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_PFUNDA_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_pfunda_lod_13,complete,final,,"BDD_perfluores$c_pfunda_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfunda_raw_13y) & BDD_perfluores$EX3==2,0.01,NA) -BDD_perfluores$c_pfunda_lod_13<-ifelse(BDD_perfluores$age_exam>=13 & !is.na(BDD_perfluores$c_pfunda_raw_13y) & BDD_perfluores$EX3==1,0.05,BDD_perfluores$c_pfunda_lod_13y)", -PELAGIE,BDD_pop,PCB118,,,ATHLETE_CDM,chemicals_ath,c_pcb118_raw_birth,partial,final,from cord blood,BDD_pop$c_pcb118_raw_birth<-BDD_pop$PCB118*943.4,from cord blood -PELAGIE,harmonized,C_PCB118_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pcb118_lod_birth,partial,final,from cord blood,"BDD_pop$c_pcb118_lod_birth<-ifelse(!is.na(BDD_pop$c_pcb118_raw_birth),0.01*943.4,NA)",from cord blood -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_168,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,C_HCB_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_hcb_lod_birth,partial,final,from cord blood,"BDD_pop$c_hcb_lod_birth<-ifelse(!is.na(BDD_pop$c_hcb_raw_birth),0.02*943.4,NA)",from cord blood -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB118_RAW_12Y,ATHLETE_CDM,chemicals_ath,c_pcb118_lod_12,complete,final,,"BDD_pop$c_pcb118_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_pcb118_raw_12y),0.01*943.4,NA)", -PELAGIE,BDD_pop,Q12_BPC118,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pcb118_raw_13,complete,final,,"BDD_pop$c_pcb118_raw_13y=13,BDD_pop$Q12_BPC118*943.4,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB118_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_pcb118_lod_13,complete,final,,"BDD_pop$c_pcb118_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_pcb118_raw_13y),0.01*943.4,NA)", -PELAGIE,harmonized,C_PCB138_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pcb138_lod_birth,partial,final,from cord blood,"BDD_pop$c_pcb138_lod_birth<-ifelse(!is.na(BDD_pop$c_pcb138_raw_birth),0.01*943.4,NA)",from cord blood -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB138_RAW_12Y,ATHLETE_CDM,chemicals_ath,c_pcb138_lod_12,complete,final,,"BDD_pop$c_pcb138_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_pcb138_raw_12y),0.01*943.4,NA)", -PELAGIE,BDD_pop,Q12_BPC138,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pcb138_raw_13,complete,final,,"BDD_pop$c_pcb138_raw_13<-ifelse(BDD_pop$age_exam>=13,BDD_pop$Q12_BPC138*943.4,NA)", -PELAGIE,BDD_ethers,"EAA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_eaa_raw_t1,complete,final,,"BDD_ethers$m_eaa_raw_t1<-ifelse(!is.na(BDD_ethers$EAA) & BDD_ethers$SGurineF<=10,BDD_ethers$EAA,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB138_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_pcb138_lod_13,complete,final,,"BDD_pop$c_pcb138_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_pcb138_raw_13y),0.01*943.4,NA)", -PELAGIE,BDD_pop,PCB153,,,ATHLETE_CDM,chemicals_ath,c_pcb153_raw_birth,partial,final,from cord blood,BDD_pop$c_pcb153_raw_birth<-BDD_pop$PCB153*943.4,from cord blood -PELAGIE,harmonized,C_PCB153_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pcb153_lod_birth,partial,final,from cord blood,"BDD_pop$c_pcb153_lod_birth<-ifelse(!is.na(BDD_pop$c_pcb153_raw_birth),0.01*943.4,NA)",from cord blood -PELAGIE,BDD_pop,Q12_BPC153,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pcb153_raw_12,complete,final,,"BDD_pop$c_pcb153_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_BPC153*943.4,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB153_RAW_12Y,ATHLETE_CDM,chemicals_ath,c_pcb153_lod_12,complete,final,,"BDD_pop$c_pcb153_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_pcb153_raw_12y),0.01*943.4,NA)", -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_165,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,BDD_pop,Q12_BPC153,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pcb153_raw_13,complete,final,,"BDD_pop$c_pcb153_raw_13<-ifelse(BDD_pop$age_exam>=13,BDD_pop$Q12_BPC153*943.4,NA)", -PELAGIE,BDD_pop,Q12_BPC180,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pcb180_raw_13,complete,final,,"BDD_pop$c_pcb180_raw_13y=13,BDD_pop$Q12_BPC180*943.4,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB153_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_pcb153_lod_13,complete,final,,"BDD_pop$c_pcb153_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_pcb153_raw_13y),0.01*943.4,NA)", -PELAGIE,BDD_pop,PCB170,,,ATHLETE_CDM,chemicals_ath,c_pcb170_raw_birth,partial,final,from cord blood,BDD_pop$c_pcb170_raw_birth<-BDD_pop$PCB170*943.4,from cord blood -PELAGIE,harmonized,C_PCB170_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pcb170_lod_birth,partial,final,from cord blood,"BDD_pop$c_pcb170_lod_birth<-ifelse(!is.na(BDD_pop$c_pcb170_raw_birth),0.01*943.4,NA)",from cord blood -PELAGIE,BDD_pop,Q12_BPC170,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pcb170_raw_12,complete,final,,"BDD_pop$c_pcb170_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_BPC170*943.4,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB170_RAW_12Y,ATHLETE_CDM,chemicals_ath,c_pcb170_lod_12,complete,final,,"BDD_pop$c_pcb170_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_pcb170_raw_12y),0.01*943.4,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_DDE_RAW_12Y,ATHLETE_CDM,chemicals_ath,c_dde_lod_12,complete,final,,"BDD_pop$c_dde_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_dde_raw_12y),0.02*943.4,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB170_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_pcb170_lod_13,complete,final,,"BDD_pop$c_pcb170_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_pcb170_raw_13y),0.01*943.4,NA)", -PELAGIE,BDD_pop,PCB180,,,ATHLETE_CDM,chemicals_ath,c_pcb180_raw_birth,partial,final,from cord blood,BDD_pop$c_pcb180_raw_birth<-BDD_pop$PCB180*943.4,from cord blood -PELAGIE,harmonized,C_PCB180_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pcb180_lod_birth,partial,final,from cord blood,"BDD_pop$c_pcb180_lod_birth<-ifelse(!is.na(BDD_pop$c_pcb180_raw_birth),0.01*943.4,NA)",from cord blood -PELAGIE,BDD_pop,Q12_BPC180,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_pcb180_raw_12,complete,final,,"BDD_pop$c_pcb180_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_BPC180*943.4,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB180_RAW_12Y,ATHLETE_CDM,chemicals_ath,c_pcb180_lod_12,complete,final,,"BDD_pop$c_pcb180_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_pcb180_raw_12y),0.01*943.4,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_PCB180_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_pcb180_lod_13,complete,final,,"BDD_pop$c_pcb180_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_pcb180_raw_13y),0.01*943.4,NA)", -PELAGIE,BDD_pop,PPDDT,,,ATHLETE_CDM,chemicals_ath,c_ddt_raw_birth,partial,final,from cord blood,BDD_pop$c_ddt_raw_birth<-BDD_pop$ppDDT*943.4,from cord blood -PELAGIE,BDD_pop,PBDE153,,,ATHLETE_CDM,chemicals_ath,c_pbde153_raw_birth,partial,final,from cord blood,BDD_pop$c_pbde153_raw_birth<-BDD_pop$PBDE153*943.4,from cord blood -PELAGIE,BDD_pop,DOSAGE_POP_MERE,harmonized,C_DDT_RAW_BIRTH,ATHLETE_CDM,chemicals_ath,c_ddt_lod_birth,partial,final,from cord blood,"BDD_pop$c_ddt_lod_birth<-ifelse(!is.na(BDD_pop$c_ddt_raw_birth),0.02*943.4,NA) -BDD_pop$c_ddt_lod_birth<-ifelse(!is.na(BDD_pop$c_ddt_raw_birth) & BDD_pop$dosage_pop_mere==2,0.05*943.4,BDD_pop$c_ddt_lod_birth)",from cord blood -PELAGIE,harmonized,C_DDE_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_dde_lod_birth,partial,final,from cord blood,"BDD_pop$c_dde_lod_birth<-ifelse(!is.na(BDD_pop$c_dde_raw_birth),0.02*943.4,NA)",from cord blood -PELAGIE,BDD_pop,Q12_PPDDE,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_dde_raw_12,complete,final,,"BDD_pop$c_dde_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_ppDDE*943.4,NA)", -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_155,complete,final,,biomes_155=0;, -PELAGIE,BDD_pop,Q12_PPDDE,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_dde_raw_13,complete,final,,"BDD_pop$c_dde_raw_13<-ifelse(BDD_pop$age_exam>=13,BDD_pop$Q12_ppDDE*943.4,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_DDE_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_dde_lod_13,complete,final,,"BDD_pop$c_dde_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_dde_raw_13y),0.02*943.4,NA)", -PELAGIE,BDD_pop,HEXACHLOROBENZENE,,,ATHLETE_CDM,chemicals_ath,c_hcb_raw_birth,partial,final,from cord blood,BDD_pop$c_hcb_raw_birth<-BDD_pop$Hexachlorobenzene*943.4,from cord blood -PELAGIE,BDD_pop,Q12_HEXACHLOROBENZENE,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_hcb_raw_12,complete,final,,"BDD_pop$c_hcb_raw_12y=13,BDD_pop$Q12_Hexachlorobenzene*943.4,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM,harmonized,C_HCB_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_hcb_lod_13,complete,final,,"BDD_pop$c_hcb_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_hcb_raw_13y),0.02*943.4,NA)", -PELAGIE,BDD_pop,PBDE47,,,ATHLETE_CDM,chemicals_ath,c_pbde47_raw_birth,partial,final,from cord blood,BDD_pop$c_pbde47_raw_birth<-BDD_pop$PBDE47*943.4,from cord blood -PELAGIE,harmonized,C_PBDE47_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pbde47_lod_birth,partial,final,from cord blood,"BDD_pop$c_pbde47_lod_birth<-ifelse(!is.na(BDD_pop$c_pbde47_raw_birth),0.01*943.4,NA)",from cord blood -PELAGIE,harmonized,C_PBDE153_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_pbde153_lod_birth,partial,final,from cord blood,"BDD_pop$c_pbde153_lod_birth<-ifelse(!is.na(BDD_pop$c_pbde153_raw_birth),0.01*943.4,NA)",from cord blood -PELAGIE,harmonized,C_HCH_RAW_BIRTH,,,ATHLETE_CDM,chemicals_ath,c_hch_lod_birth,partial,final,from cord blood,"BDD_pop$c_hch_lod_birth<-ifelse(!is.na(BDD_pop$c_hch_raw_birth),0.01*943.4,NA)",from cord blood -PELAGIE,BDD_pop,Q12_BETAHCH,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_hch_raw_12,complete,final,,"BDD_pop$c_hch_raw_12<-ifelse(BDD_pop$age_exam<13,BDD_pop$Q12_betaHCH*943.4,NA)", -PELAGIE,BDD_ethers,SGURINEF,harmonized,M_MEAA_RAW_T2,ATHLETE_CDM,chemicals_ath,m_meaa_lod_t2,complete,final,,"BDD_ethers$m_meaa_lod_t2<-ifelse(!is.na(BDD_ethers$m_meaa_raw_t2) & BDD_ethers$SGurineF>10,3,NA)", -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_HCH_RAW_12Y,ATHLETE_CDM,chemicals_ath,c_hch_lod_12,complete,final,,"BDD_pop$c_hch_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_hch_raw_12y & BDD_pop$EX3==2),0.01*943.4,NA) - -BDD_pop$c_hch_lod_12<-ifelse(BDD_pop$age_exam<13 & !is.na(BDD_pop$c_hch_raw_12y & BDD_pop$EX3==1),0.02*943.4,BDD_pop$c_hch_lod_12y)", -PELAGIE,BDD_pop,Q12_BETAHCH,pelagie_exam12,AGE_EXAM,ATHLETE_CDM,chemicals_ath,c_hch_raw_13,complete,final,,"BDD_pop$c_hch_raw_13<-ifelse(BDD_pop$age_exam>=13,BDD_pop$Q12_betaHCH*943.4,NA)", -PELAGIE,pelagie_exam12,"AGE_EXAM,EX3",harmonized,C_HCH_RAW_13Y,ATHLETE_CDM,chemicals_ath,c_hch_lod_13,complete,final,,"BDD_pop$c_hch_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_hch_raw_13y & BDD_pop$EX3==2),0.01*943.4,NA) - -BDD_pop$c_hch_lod_13<-ifelse(BDD_pop$age_exam>=13 & !is.na(BDD_pop$c_hch_raw_13y & BDD_pop$EX3==1),0.02*943.4,BDD_pop$c_hch_lod_13y)", -PELAGIE,BDD_ethers,"MAA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_maa_raw_t1,complete,final,,"BDD_ethers$m_maa_raw_t1<-ifelse(!is.na(BDD_ethers$MAA) & BDD_ethers$SGurineF<=10,BDD_ethers$MAA,NA)", -PELAGIE,BDD_ethers,"MAA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_maa_raw_t2,complete,final,,"BDD_ethers$m_maa_raw_t2<-ifelse(!is.na(BDD_ethers$MAA) & BDD_ethers$SGurineF>10,BDD_ethers$MAA,NA)", -PELAGIE,BDD_ethers,SGURINEF,harmonized,M_MAA_RAW_T1,ATHLETE_CDM,chemicals_ath,m_maa_lod_t1,complete,final,,"BDD_ethers$m_maa_lod_t1<-ifelse(!is.na(BDD_ethers$m_maa_raw_t1) & BDD_ethers$SGurineF<=10,3,NA)", -PELAGIE,BDD_ethers,SGURINEF,harmonized,M_MAA_RAW_T2,ATHLETE_CDM,chemicals_ath,m_maa_lod_t2,complete,final,,"BDD_ethers$m_maa_lod_t2<-ifelse(!is.na(BDD_ethers$m_maa_raw_t2) & BDD_ethers$SGurineF>10,3,NA)", -PELAGIE,BDD_ethers,MAA_ENFANT,,,ATHLETE_CDM,chemicals_ath,c_maa_raw_6,complete,final,,BDD_ethers$c_maa_raw_6<-BDD_ethers$MAA_enfant, -PELAGIE,harmonized,C_MAA_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_maa_lod_6,complete,final,,"BDD_ethers$c_maa_lod_6<-ifelse(!is.na(BDD_ethers$c_maa_raw_6y),3,NA)", -RMR,RMR,,,,OOM_CDM,SURVEY_OBSERVATIONS,so_origin,complete,,‘RMR’,, -PELAGIE,BDD_ethers,"MEAA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_meaa_raw_t1,complete,final,,"BDD_ethers$m_meaa_raw_t1<-ifelse(!is.na(BDD_ethers$MEAA) & BDD_ethers$SGurineF<=10,BDD_ethers$MEAA,NA)", -PELAGIE,BDD_ethers,"MEAA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_meaa_raw_t2,complete,final,,"BDD_ethers$m_meaa_raw_t2<-ifelse(!is.na(BDD_ethers$MEAA) & BDD_ethers$SGurineF>10,BDD_ethers$MEAA,NA)", -PELAGIE,BDD_ethers,SGURINEF,harmonized,M_MEAA_RAW_T1,ATHLETE_CDM,chemicals_ath,m_meaa_lod_t1,complete,final,,"BDD_ethers$m_meaa_lod_t1<-ifelse(!is.na(BDD_ethers$m_meaa_raw_t1) & BDD_ethers$SGurineF<=10,3,NA)", -PELAGIE,BDD_ethers,"EAA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_eaa_raw_t2,complete,final,,"BDD_ethers$m_eaa_raw_t2<-ifelse(!is.na(BDD_ethers$EAA) & BDD_ethers$SGurineF>10,BDD_ethers$EAA,NA)", -PELAGIE,BDD_ethers,SGURINEF,harmonized,M_EAA_RAW_T1,ATHLETE_CDM,chemicals_ath,m_eaa_lod_t1,complete,final,,"BDD_ethers$m_eaa_lod_t1<-ifelse(!is.na(BDD_ethers$m_eaa_raw_t1) & BDD_ethers$SGurineF<=10,3,NA)", -PELAGIE,BDD_ethers,SGURINEF,harmonized,M_EAA_RAW_T2,ATHLETE_CDM,chemicals_ath,m_eaa_lod_t2,complete,final,,"BDD_ethers$m_eaa_lod_t2<-ifelse(!is.na(BDD_ethers$m_eaa_raw_t2) & BDD_ethers$SGurineF>10,3,NA)", -PELAGIE,BDD_ethers,EAA_ENFANT,,,ATHLETE_CDM,chemicals_ath,c_eaa_raw_6,complete,final,,BDD_ethers$c_eaa_raw_6<-BDD_ethers$EAA_enfant, -PELAGIE,harmonized,C_EAA_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_eaa_lod_6,complete,final,,"BDD_ethers$c_eaa_lod_6<-ifelse(!is.na(BDD_ethers$c_eaa_raw_6y),3,NA)", -PELAGIE,BDD_ethers,"EEAA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_eeaa_raw_t1,complete,final,,"BDD_ethers$m_eeaa_raw_t1<-ifelse(!is.na(BDD_ethers$EEAA) & BDD_ethers$SGurineF<=10,BDD_ethers$EEAA,NA)", -PELAGIE,BDD_ethers,"EEAA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_eeaa_raw_t2,complete,final,,"BDD_ethers$m_eeaa_raw_t2<-ifelse(!is.na(BDD_ethers$EEAA) & BDD_ethers$SGurineF>10,BDD_ethers$EEAA,NA)", -PELAGIE,BDD_ethers,SGURINEF,harmonized,M_EEAA_RAW_T1,ATHLETE_CDM,chemicals_ath,m_eeaa_lod_t1,complete,final,,"BDD_ethers$m_eeaa_lod_t1<-ifelse(!is.na(BDD_ethers$m_eeaa_raw_t1) & BDD_ethers$SGurineF<=10,3,NA)", -PELAGIE,BDD_ethers,SGURINEF,harmonized,M_EEAA_RAW_T2,ATHLETE_CDM,chemicals_ath,m_eeaa_lod_t2,complete,final,,"BDD_ethers$m_eeaa_lod_t2<-ifelse(!is.na(BDD_ethers$m_eeaa_raw_t2) & BDD_ethers$SGurineF>10,3,NA)", -PELAGIE,BDD_ethers,"MPA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_2mpa_raw_t1,complete,final,,"BDD_ethers$m_2mpa_raw_t1<-ifelse(!is.na(BDD_ethers$MPA) & BDD_ethers$SGurineF<=10,BDD_ethers$MPA,NA)", -PELAGIE,BDD_ethers,"MPA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_2mpa_raw_t2,complete,final,,"BDD_ethers$m_2mpa_raw_t2<-ifelse(!is.na(BDD_ethers$MPA) & BDD_ethers$SGurineF>10,BDD_ethers$MPA,NA)", -PELAGIE,BDD_ethers,SGURINEF,harmonized,M_2MPA_RAW_T1,ATHLETE_CDM,chemicals_ath,m_2mpa_lod_t1,complete,final,,"BDD_ethers$m_2mpa_lod_t1<-ifelse(!is.na(BDD_ethers$m_2mpa_raw_t1) & BDD_ethers$SGurineF<=10,3,NA)", -PELAGIE,BDD_ethers,SGURINEF,harmonized,M_2MPA_RAW_T2,ATHLETE_CDM,chemicals_ath,m_2mpa_lod_t2,complete,final,,"BDD_ethers$m_2mpa_lod_t2<-ifelse(!is.na(BDD_ethers$m_2mpa_raw_t2) & BDD_ethers$SGurineF>10,3,NA)", -PELAGIE,BDD_ethers,MPA_ENFANT,,,ATHLETE_CDM,chemicals_ath,c_2mpa_raw_6,complete,final,,BDD_ethers$c_2mpa_raw_6<-BDD_ethers$MPA_enfant, -PELAGIE,harmonized,C_2MPA_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_2mpa_lod_6,complete,final,,"BDD_ethers$c_2mpa_lod_6<-ifelse(!is.na(BDD_ethers$c_2mpa_raw_6y),3,NA)", -PELAGIE,harmonized,C_DMP_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_dmp_lod_6,complete,final,,"BDD_OP$c_dmp_lod_6<-ifelse(!is.na(BDD_OP$c_dmp_raw_6y),0.06,NA)", -PELAGIE,BDD_ethers,"PHAA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_raw_t1,complete,final,,"BDD_ethers$m_phenoxyacetic_acid_raw_t1<-ifelse(!is.na(BDD_ethers$PhAA) & BDD_ethers$SGurineF<=10,BDD_ethers$PhAA,NA)", -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_156,complete,final,,biomes_156=0;, -PELAGIE,BDD_ethers,"PHAA,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_raw_t2,complete,final,,"BDD_ethers$m_phenoxyacetic_acid_raw_t2<-ifelse(!is.na(BDD_ethers$PhAA) & BDD_ethers$SGurineF>10,BDD_ethers$PhAA,NA)", -PELAGIE,BDD_ethers,SGURINEF,harmonized,M_PHENOXYACETIC_ACID_RAW_T1,ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_lod_t1,complete,final,,"BDD_ethers$m_phenoxyacetic_acid_lod_t1<-ifelse(!is.na(BDD_ethers$m_phenoxyacetic_acid_raw_t1) & BDD_ethers$SGurineF<=10,3,NA)", -PELAGIE,BDD_ethers,SGURINEF,harmonized,M_PHENOXYACETIC_ACID_RAW_T2,ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_lod_t2,complete,final,,"BDD_ethers$m_phenoxyacetic_acid_lod_t2<-ifelse(!is.na(BDD_ethers$m_phenoxyacetic_acid_raw_t2) & BDD_ethers$SGurineF>10,3,NA)", -PELAGIE,BDD_ethers,PHAA_ENFANT,,,ATHLETE_CDM,chemicals_ath,c_phenoxyacetic_acid_raw_6,complete,final,,BDD_ethers$c_phenoxyacetic_acid_raw_6<-BDD_ethers$PhAA_enfant, -PELAGIE,harmonized,C_PHENOXYACETIC_ACID_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_phenoxyacetic_acid_lod_6,complete,final,,"BDD_ethers$c_phenoxyacetic_acid_lod_6<-ifelse(!is.na(BDD_ethers$c_phenoxyacetic_acid_raw_6),3,NA)", -PELAGIE,BDD_OP,"DMP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_dmp_raw_t1,complete,final,,"BDD_OP$m_dmp_raw_t1<-ifelse(!is.na(BDD_OP$DMP) & BDD_OP$SGurineF<=10,BDD_OP$DMP,NA)", -PELAGIE,BDD_OP,"DMP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_dmp_raw_t2,complete,final,,"BDD_OP$m_dmp_raw_t2<-ifelse(!is.na(BDD_OP$DMP) & BDD_OP$SGurineF>10,BDD_OP$DMP,NA)", -PELAGIE,BDD_OP,SGURINEF,harmonized,M_DMP_RAW_T1,ATHLETE_CDM,chemicals_ath,m_dmp_lod_t1,complete,final,,"BDD_OP$m_dmp_lod_t1<-ifelse(!is.na(BDD_OP$m_dmp_raw_t1) & BDD_OP$SGurineF<=10,0.06,NA)", -PELAGIE,BDD_OP,SGURINEF,harmonized,M_DMP_RAW_T2,ATHLETE_CDM,chemicals_ath,m_dmp_lod_t2,complete,final,,"BDD_OP$m_dmp_lod_t2<-ifelse(!is.na(BDD_OP$m_dmp_raw_t2) & BDD_OP$SGurineF>10,0.06,NA)", -PELAGIE,BDD_OP,CHILDDMP,,,ATHLETE_CDM,chemicals_ath,c_dmp_raw_6,complete,final,,BDD_OP$c_dmp_raw_6<-BDD_OP$CHILDDMP, -PELAGIE,BDD_OP,"DMTP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_dmtp_raw_t2,complete,final,,"BDD_OP$m_dmtp_raw_t2<-ifelse(!is.na(BDD_OP$DMTP) & BDD_OP$SGurineF>10,BDD_OP$DMTP,NA)", -PELAGIE,BDD_OP,SGURINEF,harmonized,M_DMTP_RAW_T1,ATHLETE_CDM,chemicals_ath,m_dmtp_lod_t1,complete,final,,"BDD_OP$m_dmtp_lod_t1<-ifelse(!is.na(BDD_OP$m_dmtp_raw_t1) & BDD_OP$SGurineF<=10,0.32,NA)", -RMR,RMR,,,,OOM_CDM,SURVEY_OBSERVATIONS,survey_id,complete,,As specified above,, -PELAGIE,BDD_OP,SGURINEF,harmonized,M_DMTP_RAW_T2,ATHLETE_CDM,chemicals_ath,m_dmtp_lod_t2,complete,final,,"BDD_OP$m_dmtp_lod_t2<-ifelse(!is.na(BDD_OP$m_dmtp_raw_t2) & BDD_OP$SGurineF>10,0.32,NA)", -PELAGIE,BDD_OP,"DMDTP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_dmdtp_raw_t1,complete,final,,"BDD_OP$m_dmdtp_raw_t1<-ifelse(!is.na(BDD_OP$DMDTP) & BDD_OP$SGurineF<=10,BDD_OP$DMDTP,NA)", -PELAGIE,BDD_OP,"DMDTP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_dmdtp_raw_t2,complete,final,,"BDD_OP$m_dmdtp_raw_t2<-ifelse(!is.na(BDD_OP$DMDTP) & BDD_OP$SGurineF>10,BDD_OP$DMDTP,NA)", -PELAGIE,harmonized,ARMCIRCMES_0,,,LifeCycle_CDM,outcome,armcircmes_152,complete,final,,armcircmes_152=0;, -PELAGIE,BDD_OP,SGURINEF,harmonized,M_DMDTP_RAW_T1,ATHLETE_CDM,chemicals_ath,m_dmdtp_lod_t1,complete,final,,"BDD_OP$m_dmdtp_lod_t1<-ifelse(!is.na(BDD_OP$m_dmdtp_raw_t1) & BDD_OP$SGurineF<=10,0.13,NA)", -PELAGIE,BDD_OP,SGURINEF,harmonized,M_DMDTP_RAW_T2,ATHLETE_CDM,chemicals_ath,m_dmdtp_lod_t2,complete,final,,"BDD_OP$m_dmdtp_lod_t2<-ifelse(!is.na(BDD_OP$m_dmdtp_raw_t2) & BDD_OP$SGurineF>10,0.13,NA)", -PELAGIE,harmonized,C_DMDTP_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_dmdtp_lod_6,complete,final,,"BDD_OP$c_dmdtp_lod_6<-ifelse(!is.na(BDD_OP$c_dmdtp_raw_6y),0.13,NA)", -PELAGIE,BDD_OP,"DEP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_dep_raw_t1,complete,final,,"BDD_OP$m_dep_raw_t1<-ifelse(!is.na(BDD_OP$DEP) & BDD_OP$SGurineF<=10,BDD_OP$DEP,NA)", -PELAGIE,BDD_OP,"DEP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_dep_raw_t2,complete,final,,"BDD_OP$m_dep_raw_t2<-ifelse(!is.na(BDD_OP$DEP) & BDD_OP$SGurineF>10,BDD_OP$DEP,NA)", -PELAGIE,BDD_OP,"SGURINEF,SERIE",harmonized,M_DEP_RAW_T1,ATHLETE_CDM,chemicals_ath,m_dep_lod_t1,complete,final,,"BDD_OP$m_dep_lod_t1<-ifelse(!is.na(BDD_OP$m_dep_raw_t1) & BDD_OP$SGurineF<=10 & BDD_OP$serie==1,0.2,NA) - -BDD_OP$m_dep_lod_t1<-ifelse(!is.na(BDD_OP$m_dep_raw_t1) & BDD_OP$SGurineF<=10 & BDD_OP$serie==2,0.366,BDD_OP$m_dep_lod_t1)", -PELAGIE,BDD_OP,"SGURINEF,SERIE",harmonized,M_DEP_RAW_T2,ATHLETE_CDM,chemicals_ath,m_dep_lod_t2,complete,final,,"BDD_OP$m_dep_lod_t2<-ifelse(!is.na(BDD_OP$m_dep_raw_t2) & BDD_OP$SGurineF>10 & BDD_OP$serie==1,0.2,NA) - -BDD_OP$m_dep_lod_t2<-ifelse(!is.na(BDD_OP$m_dep_raw_t2) & BDD_OP$SGurineF>10 & BDD_OP$serie==2,0.366,BDD_OP$m_dep_lod_t2)", -PELAGIE,BDD_OP,"DETP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_detp_raw_t1,complete,final,,"BDD_OP$m_detp_raw_t1<-ifelse(!is.na(BDD_OP$DETP) & BDD_OP$SGurineF<=10,BDD_OP$DETP,NA)", -PELAGIE,BDD_OP,"DETP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_detp_raw_t2,complete,final,,"BDD_OP$m_detp_raw_t2<-ifelse(!is.na(BDD_OP$DETP) & BDD_OP$SGurineF>10,BDD_OP$DETP,NA)", -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_149,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,BDD_OP,"SGURINEF,SERIE",harmonized,M_DETP_RAW_T1,ATHLETE_CDM,chemicals_ath,m_detp_lod_t1,complete,final,,"BDD_OP$m_detp_lod_t1<-ifelse(!is.na(BDD_OP$m_detp_raw_t1) & BDD_OP$SGurineF<=10 & BDD_OP$serie==1,0.1,NA) - -BDD_OP$m_detp_lod_t1<-ifelse(!is.na(BDD_OP$m_detp_raw_t1) & BDD_OP$SGurineF<=10 & BDD_OP$serie==2,0.508,BDD_OP$m_detp_lod_t1)", -PELAGIE,BDD_OP,"SGURINEF,SERIE",harmonized,M_DETP_RAW_T2,ATHLETE_CDM,chemicals_ath,m_detp_lod_t2,complete,final,,"BDD_OP$m_detp_lod_t2<-ifelse(!is.na(BDD_OP$m_detp_raw_t2) & BDD_OP$SGurineF>10 & BDD_OP$serie==1,0.1,NA) - -BDD_OP$m_detp_lod_t2<-ifelse(!is.na(BDD_OP$m_detp_raw_t2) & BDD_OP$SGurineF>10 & BDD_OP$serie==2,0.508,BDD_OP$m_detp_lod_t2)", -PELAGIE,BDD_OP,CHILDDETP,,,ATHLETE_CDM,chemicals_ath,c_detp_raw_6,complete,final,,BDD_OP$c_detp_raw_6<-BDD_OP$CHILDDETP, -PELAGIE,harmonized,C_DETP_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_detp_lod_6,complete,final,,"BDD_OP$c_detp_lod_6<-ifelse(!is.na(BDD_OP$c_detp_raw_6y),0.1,NA)", -PELAGIE,BDD_OP,"DEDTP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_dedtp_raw_t1,complete,final,,"BDD_OP$m_dedtp_raw_t1<-ifelse(!is.na(BDD_OP$DEDTP) & BDD_OP$SGurineF<=10,BDD_OP$DEDTP,NA)", -PELAGIE,BDD_OP,"DEDTP,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_dedtp_raw_t2,complete,final,,"BDD_OP$m_dedtp_raw_t2<-ifelse(!is.na(BDD_OP$DEDTP) & BDD_OP$SGurineF>10,BDD_OP$DEDTP,NA)", -PELAGIE,BDD_OP,SGURINEF,harmonized,M_DEDTP_RAW_T1,ATHLETE_CDM,chemicals_ath,m_dedtp_lod_t1,complete,final,,"BDD_OP$m_dedtp_lod_t1<-ifelse(!is.na(BDD_OP$m_dedtp_raw_t1) & BDD_OP$SGurineF<=10,0.005,NA)", -PELAGIE,BDD_OP,SGURINEF,harmonized,M_DEDTP_RAW_T2,ATHLETE_CDM,chemicals_ath,m_dedtp_lod_t2,complete,final,,"BDD_OP$m_dedtp_lod_t2<-ifelse(!is.na(BDD_OP$m_dedtp_raw_t2) & BDD_OP$SGurineF>10,0.005,NA)", -PELAGIE,BDD_OP,CHILDDEDTP,,,ATHLETE_CDM,chemicals_ath,c_dedtp_raw_6,complete,final,,BDD_OP$c_dedtp_raw_6<-BDD_OP$CHILDDEDTP, -SALM,SALM,id_universale,,,OOM_CDM,EVENTS,person_id,complete,,,, -PELAGIE,BDD_OP,"CHLORPYRIFOS,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_raw_t1,complete,final,,"BDD_OP$m_chlorphyrifos_raw_t1<-ifelse(!is.na(BDD_OP$chlorpyrifos) & BDD_OP$SGurineF<=10,BDD_OP$chlorpyrifos*1000,NA)", -PELAGIE,BDD_OP,"CHLORPYRIFOS,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_raw_t2,complete,final,,"BDD_OP$m_chlorphyrifos_raw_t2<-ifelse(!is.na(BDD_OP$chlorpyrifos) & BDD_OP$SGurineF>10,BDD_OP$chlorpyrifos*1000,NA)", -PELAGIE,BDD_OP,SGURINEF,harmonized,M_CHLORPHYRIFOS_RAW_T1,ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_lod_t1,complete,final,,"BDD_OP$m_chlorphyrifos_lod_t1<-ifelse(!is.na(BDD_OP$m_chlorphyrifos_raw_t1) & BDD_OP$SGurineF<=10,0.005,NA)", -PELAGIE,BDD_OP,SGURINEF,harmonized,M_CHLORPHYRIFOS_RAW_T2,ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_lod_t2,complete,final,,"BDD_OP$m_chlorphyrifos_lod_t2<-ifelse(!is.na(BDD_OP$m_chlorphyrifos_raw_t2) & BDD_OP$SGurineF>10,0.005,NA) -#", -PELAGIE,harmonized,HIPCIRCMES_0,,,LifeCycle_CDM,outcome,hipcircmes_158,complete,final,,hipcircmes_158=0;, -PELAGIE,BDD_OP,CHILDCHLORPYRIFOS,,,ATHLETE_CDM,chemicals_ath,c_chlorphyrifos_raw_6,complete,final,,BDD_OP$c_chlorphyrifos_raw_6<-BDD_OP$CHILDCHLORPYRIFOS*1000, -PELAGIE,harmonized,C_CHLORPHYRIFOS_RAW_6,,,ATHLETE_CDM,chemicals_ath,c_chlorphyrifos_lod_6,complete,final,,"BDD_OP$c_chlorphyrifos_lod_6<-ifelse(!is.na(BDD_OP$c_chlorphyrifos_raw_6y),0.005,NA)", -PELAGIE,BDD_creatinine,"CREATININE_TOT,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_creatinine_raw_t1,complete,final,,"BDD_creatinine$m_creatinine_raw_t1<-ifelse(!is.na(BDD_creatinine$creatinine_tot) & BDD_creatinine$SGurineF<=10,BDD_creatinine$creatinine_tot,NA)", -PELAGIE,BDD_creatinine,"CREATININE_TOT,SGURINEF",,,ATHLETE_CDM,chemicals_ath,m_creatinine_raw_t2,complete,final,,"BDD_creatinine$m_creatinine_raw_t2<-ifelse(!is.na(BDD_creatinine$creatinine_tot) & BDD_creatinine$SGurineF>10,BDD_creatinine$creatinine_tot,NA)", -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age152,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_0,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_166,complete,final,,/* too long to be provided and many case by case situations */, -SALM,SALM,data,,,OOM_CDM,EVENTS,start_date_record,complete,,,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_1,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_2,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_147,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_148,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_3,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle_CDM,outcome,headcircage_152,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_150,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX32,PB_TANITA",,,LifeCycle_CDM,outcome,bio_151,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; -if pb_tanita eq 0 then do;bio_[i]=ex32;bioage_[i]=age_exam_jour;biomes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_4,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age146,complete,final,,/* too long to be provided and many case by case situations */, -SALM,SALM,,,,OOM_CDM,EVENTS,end_date_record,complete,,,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_5,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_7,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_6,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_7,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_8,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_9,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_10,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_157,complete,final,,biomes_157=0;, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_11,complete,final,,/* too long to be provided and many case by case situations */, -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp9,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_12,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_13,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_14,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_15,complete,final,,/* too long to be provided and many case by case situations */, -NFBC1966,core,,,,LifeCycle_CDM,core,death_child,complete,final,Age of child in days when died,IF (kuolinika_pv < 18622) death_child=1. EXECUTE. RECODE death_child (SYSMIS=0). EXECUTE., -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_16,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,BIOMES_0,,,LifeCycle_CDM,outcome,biomes_158,complete,final,,biomes_158=0;, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_17,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_18,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_19,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_20,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_21,complete,final,,/* too long to be provided and many case by case situations */, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM_CDM,OBSERVATION_PERIODS,op_meaning,complete,,‘healthcare_office’,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_22,complete,final,,/* too long to be provided and many case by case situations */, -SPA,SPA,,,,OOM_CDM,VISIT_OCCURRENCE,status_at_discharge_vocabulary,complete,,Leave empty,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_23,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_24,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_25,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_26,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_27,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle_CDM,outcome,headcircage_155,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_28,complete,final,,/* too long to be provided and many case by case situations */, -SPA,SPA,,,,OOM_CDM,VISIT_OCCURRENCE,meaning_of_visit,complete,,‘oupatient_specialist_visit’,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_29,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_30,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_31,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_32,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_33,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle_CDM,outcome,headcircage_156,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_34,complete,final,,/* too long to be provided and many case by case situations */, -SPA,SPA,iduni,,,OOM_CDM,PROCEDURES,person_id,complete,,,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_35,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_36,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_37,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_38,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_39,complete,final,,/* too long to be provided and many case by case situations */, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM_CDM,OBSERVATION_PERIODS,op_origin,complete,,‘ARS_ANAG_MED_RES_storico’,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_40,complete,final,,/* too long to be provided and many case by case situations */, -SPA,SPA,dataini,,,OOM_CDM,PROCEDURES,procedure_date,complete,,,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_41,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_42,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_43,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_44,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_45,complete,final,,/* too long to be provided and many case by case situations */, -ARS_PS,PS,iduni,,,OOM_CDM,EVENTS,person_id,complete,,,, -ARS_PS,PS,data_inizio_trattamento,,,OOM_CDM,EVENTS,start_date_record,complete,,,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_46,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_47,complete,final,,/* too long to be provided and many case by case situations */, -NFBC1966,core,,,,LifeCycle_CDM,core,agebirth_p_y,complete,final,,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_48,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_49,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_50,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_51,complete,final,,/* too long to be provided and many case by case situations */, -ARS_PS,PS,data_dimi,,,OOM_CDM,EVENTS,end_date_record,complete,,,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_52,complete,final,,/* too long to be provided and many case by case situations */, -SPA,SPA,,,,OOM_CDM,PROCEDURES,procedure_code_vocabulary,complete,,ITA_procedures_coding_system,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_53,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_54,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_55,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_56,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_57,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_155,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_58,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_169,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_8,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_59,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_60,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_61,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_62,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age149,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_153,complete,final,,triglyceridesage_153=age_exam_jour;, -ARS_PS,PS,diagnosi_princ,,,OOM_CDM,EVENTS,event_code,complete,,One record contains this variable and has event_free_text left empty; the other vice versa,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_63,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle_CDM,outcome,triglyceridesmes_154,complete,final,,triglyceridesmes_154=0;, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_64,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_148,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_65,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_133,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_144,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_66,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_67,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age150,complete,final,,/* too long to be provided and many case by case situations */, -AP,AP,,,,OOM_CDM,MEDICAL_OBSERVATIONS,mo_code,complete,,For columns containing codes: fill with the value of the column; for the others: leave empty,, -ARS_PS,PS,,,,OOM_CDM,EVENTS,event_record_vocabulary,complete,,"‘ICD9’ if event_code is compiled, ‘free_text_italian’ otherwise",, -ARS_PS,PS,,,,OOM_CDM,EVENTS,text_linked_to_event_code,complete,,,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_68,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_69,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_70,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_152,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_71,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_72,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age151,complete,final,,/* too long to be provided and many case by case situations */, -AP,AP,,,,OOM_CDM,MEDICAL_OBSERVATIONS,mo_source_column,complete,,Name of the column,, -PELAGIE,pelagie_exam12,"AGE_EXAM_MOIS,AGE_EXAM_JOUR",,,LifeCycle_CDM,outcome,waistcircage_148,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; - if P_ombili ne . then do;waistcirc_[i]=P_ombili;waistcircage_[i]=age_exam_jour;waistcircmes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_73,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_74,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_75,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_145,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_76,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_153,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_77,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_158,complete,final,,/* too long to be provided and many case by case situations */, -AP,AP,,,,OOM_CDM,MEDICAL_OBSERVATIONS,mo_source_value,complete,,For columns containing codes: leave empty; for the others: fill with the value of the column,, -PELAGIE,pelagie_exam12,"EX32,PB_TANITA",,,LifeCycle_CDM,outcome,bio_152,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; -if pb_tanita eq 0 then do;bio_[i]=ex32;bioage_[i]=age_exam_jour;biomes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_78,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_79,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_80,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_81,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_82,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_154,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_154,complete,final,,triglyceridesage_154=age_exam_jour;, -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle_CDM,outcome,triglyceridesmes_150,complete,final,,triglyceridesmes_150=0;, -PELAGIE,pelagie_exam12,"AGE_EXAM_MOIS,AGE_EXAM_JOUR",,,LifeCycle_CDM,outcome,armcircage_154,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; -if P_brachial ne . then do;armcirc_[i]=P_brachial;armcircage_[i]=age_exam_jour;armcircmes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_83,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_84,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_85,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_86,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_87,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_88,complete,final,,/* too long to be provided and many case by case situations */, -AP,AP,,,,OOM_CDM,MEDICAL_OBSERVATIONS,mo_unit,complete,,Leave empty,, -ARS_PS,PS,prognosi_testo,,,OOM_CDM,EVENTS,event_free_text,complete,,One record contains this variable and has event_free_text left empty; the other vice versa,, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_89,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B23,B27,B31,B35,B39,B43,B47,B51,B55,B59,B63,B67,B71,B75,B79,B83,B87,B91,B95","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_TAILLE_4_MOIS,QS6_B1_TAILLE_9_MOIS,QS6_B1_TAILLE_24_MOIS,QS6_B1_TAILLE_3_ANS,QS6_B1_TAILLE_4_ANS,QS6_B1_TAILLE_5_ANS,QS6_B1_TAILLE_6_ANS",LifeCycle_CDM,core,height_90,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_152,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_153,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q2,,,LifeCycle_CDM,core,height_154,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age0,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age1,complete,final,,/* too long to be provided and many case by case situations */, -AP,AP,,,,OOM_CDM,MEDICAL_OBSERVATIONS,mo_meaning,complete,,‘pathology_report’,, -ARS_PS,PS,,,,OOM_CDM,EVENTS,present_on_admission,complete,,"‘yes’ if event_free_text is compiled, empty otherwise",, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_0,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age2,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_146,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_147,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_2,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age3,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age147,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age4,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_155,complete,final,,triglyceridesage_155=age_exam_jour;, -AP,AP,,,,OOM_CDM,MEDICAL_OBSERVATIONS,mo_origin,complete,,‘AP’,, -ARS_PS,PS,,,,OOM_CDM,EVENTS,meaning_of_event,complete,,"‘emergency_room_diagnosis’ if event_code is compiled, ‘emergency_room_presentation’ otherwise",, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age5,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_3,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age6,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age7,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_156,complete,final,,triglyceridesage_156=age_exam_jour;, -SPA,SPA,,,,OOM_CDM,PROCEDURES,visit_occurrence_id,complete,,Leave empty,, -ARS_PS,PS,,,,OOM_CDM,EVENTS,origin_of_event,complete,,‘PS’,, -ARS_PS,PS,,,,OOM_CDM,EVENTS,visit_occurrence_id,complete,,Leave empty,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age8,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_148,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age9,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age153,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age10,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age11,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX32,PB_TANITA",,,LifeCycle_CDM,outcome,bio_153,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; -if pb_tanita eq 0 then do;bio_[i]=ex32;bioage_[i]=age_exam_jour;biomes_[i]=0;end; - end; -end;", -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age12,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age13,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age154,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age14,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age15,complete,final,,/* too long to be provided and many case by case situations */, -COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM_CDM,PRODUCTS,medicinal_product_atc_code,complete,,,, -COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM_CDM,PRODUCTS,subst2_atc_code,complete,,,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age16,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age17,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age155,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age18,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age19,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle_CDM,outcome,triglyceridesmes_155,complete,final,,triglyceridesmes_155=0;, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age20,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age21,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age156,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age22,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age23,complete,final,,/* too long to be provided and many case by case situations */, -SALM,SALM,"diagnosi_principale,comorbidita_1,comorbidita_2",,,OOM_CDM,EVENTS,event_code,complete,,,,DIAGNOSI_PRINCIPALE or COMORBIDITA_1 or COMORBIDITA_2 -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age24,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age25,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age157,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age26,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age27,complete,final,,/* too long to be provided and many case by case situations */, -SALM,SALM,,,,OOM_CDM,EVENTS,event_record_vocabulary,complete,,"‘ICD9’ if SETTORE=’1’ -‘ICD10’ if SETTORE=’2’",, -SALM,SALM,,,,OOM_CDM,EVENTS,text_linked_to_event_code,complete,,Leave empty,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age28,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age29,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age158,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age30,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age31,complete,final,,/* too long to be provided and many case by case situations */, -SALM,SALM,,,,OOM_CDM,EVENTS,event_free_text,complete,,Leave empty,, -SALM,SALM,,,,OOM_CDM,EVENTS,present_on_admission,complete,,‘yes’,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age32,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age33,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age159,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age34,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age35,complete,final,,/* too long to be provided and many case by case situations */, -SALM,SALM,,,,OOM_CDM,EVENTS,meaning_of_event,complete,,"For records originated by DIAGNOSI_PRINCIPALE: ‘access_to_mental_health_service_primary’ -Otherwise: -‘access_to_mental_health_service_comorbidity’",, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age36,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age37,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age160,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age38,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age39,complete,final,,/* too long to be provided and many case by case situations */, -SALM,SALM,,,,OOM_CDM,EVENTS,origin_of_event,complete,,‘SALM’,, -SALM,SALM,,,,OOM_CDM,EVENTS,visit_occurrence_id,complete,,Leave empty,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age40,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age41,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age161,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age42,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age43,complete,final,,/* too long to be provided and many case by case situations */, -SEA,SEA,iduni,,,OOM_CDM,EVENTS,person_id,complete,,,, -SEA,SEA,rilascio,,,OOM_CDM,EVENTS,start_date_record,complete,,,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age44,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age45,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age162,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age46,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age47,complete,final,,/* too long to be provided and many case by case situations */, -SEA,SEA,,,,OOM_CDM,EVENTS,end_date_record,complete,,Leave empty,, -SEA,SEA,icd9cm,,,OOM_CDM,EVENTS,event_code,complete,,,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age48,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age49,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age163,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age50,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age51,complete,final,,/* too long to be provided and many case by case situations */, -SEA,SEA,,,,OOM_CDM,EVENTS,event_record_vocabulary,complete,,‘ICD9’,, -SEA,SEA,,,,OOM_CDM,EVENTS,text_linked_to_event_code,complete,,Leave empty,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age52,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age53,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age164,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age54,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age55,complete,final,,/* too long to be provided and many case by case situations */, -SEA,SEA,,,,OOM_CDM,EVENTS,event_free_text,complete,,Leave empty,, -SEA,SEA,,,,OOM_CDM,EVENTS,present_on_admission,complete,,Leave empty,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age56,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age57,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age165,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age58,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age59,complete,final,,/* too long to be provided and many case by case situations */, -SEA,SEA,,,,OOM_CDM,EVENTS,meaning_of_event,complete,,‘exemption’,, -SEA,SEA,,,,OOM_CDM,EVENTS,origin_of_event,complete,,‘SEA’,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age60,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age61,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age166,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age62,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age63,complete,final,,/* too long to be provided and many case by case situations */, -SEA,SEA,,,,OOM_CDM,EVENTS,visit_occurrence_id,complete,,Leave empty,, -SPA,SPA,,,,OOM_CDM,VISIT_OCCURRENCE,visit_end_date,complete,,Leave empty,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age64,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age65,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age167,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age66,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age67,complete,final,,/* too long to be provided and many case by case situations */, -SPA,SPA,speciali,,,OOM_CDM,VISIT_OCCURRENCE,specialty_of_visit,complete,,,, -SPA,SPA,,,,OOM_CDM,VISIT_OCCURRENCE,specialty_of_visit_vocabulary,complete,,‘SPA.SPECIALI’,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age68,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age69,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age168,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age70,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age71,complete,final,,/* too long to be provided and many case by case situations */, -SPA,SPA,,,,OOM_CDM,VISIT_OCCURRENCE,status_at_discharge,complete,,Leave empty,, -VCN,VCN,data_somministrazione,,,OOM_CDM,VACCINES,vx_record_date,complete,,,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age72,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age73,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age169,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age74,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age75,complete,final,,/* too long to be provided and many case by case situations */, -VCN,VCN,data_somministrazione,,,OOM_CDM,VACCINES,vx_admin_date,complete,,,, -VCN,VCN,cod_atc_vaccino,,,OOM_CDM,VACCINES,vx_atc,complete,,,,Changed name -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age76,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age77,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_155,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age78,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age79,complete,final,,/* too long to be provided and many case by case situations */, -AP,AP,,,,OOM_CDM,MEDICAL_OBSERVATIONS,visit_occurrence_id,complete,,As specified above,, -VCN,VCN,,,,OOM_CDM,VACCINES,vx_type,complete,,Leave empty,, -VCN,VCN,,,,OOM_CDM,VACCINES,vx_text,complete,,Leave empty,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age80,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age81,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_156,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age82,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age83,complete,final,,/* too long to be provided and many case by case situations */, -AP,AP,,,,OOM_CDM,MEDICAL_OBSERVATIONS,mo_source_table,complete,,AP,, -VCN,VCN,cod_prestazione_vaccino,,,OOM_CDM,VACCINES,medicinal_product_id,complete,,,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age84,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age85,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_157,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age86,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age87,complete,final,,/* too long to be provided and many case by case situations */, -SPA,SPA,,,,OOM_CDM,PROCEDURES,meaning_of_procedure,complete,,‘italian_outpatient’,, -VCN,VCN,,,,OOM_CDM,VACCINES,meaning_of_vx_record,complete,,‘administration_of_vaccine_unspecified’,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age88,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age89,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_158,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,height_age90,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age133,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age144,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,height_age145,complete,final,,/* too long to be provided and many case by case situations */, -SPA,SPA,,,,OOM_CDM,PROCEDURES,origin_of_procedure,complete,,‘SPA’,, -VCN,VCN,dose_somministrata,,,OOM_CDM,VACCINES,vx_dose,complete,,,, -VCN,VCN,titolare_aic,,,OOM_CDM,VACCINES,vx_manufacturer,complete,,,, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_1,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_149,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_4,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_5,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_6,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_7,complete,final,,/* too long to be provided and many case by case situations */, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,ID_UNIVERSALE,,,OOM_CDM,PERSONS,person_id,complete,,,,Changed name -VCN,VCN,num_lotto,,,OOM_CDM,VACCINES,vx_lot_num,complete,,,, -VCN,VCN,,,,OOM_CDM,VACCINES,visit_occurrence_id,complete,,Leave empty,, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_8,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_9,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_10,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age146,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_11,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_12,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_157,complete,final,,triglyceridesage_157=age_exam_jour;, -PELAGIE,pelagie_exam12,"AGE_EXAM_MOIS,AGE_EXAM_JOUR",,,LifeCycle_CDM,outcome,armcircage_155,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; -if P_brachial ne . then do;armcirc_[i]=P_brachial;armcircage_[i]=age_exam_jour;armcircmes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_13,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_14,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_151,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_15,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_16,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_156,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_17,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_158,complete,final,,triglyceridesage_158=age_exam_jour;, -PELAGIE,harmonized,ARMCIRCMES_0,,,LifeCycle_CDM,outcome,armcircmes_153,complete,final,,armcircmes_153=0;, -PELAGIE,pelagie_exam12,"AGE_EXAM_MOIS,AGE_EXAM_JOUR",,,LifeCycle_CDM,outcome,waistcircage_156,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; - if P_ombili ne . then do;waistcirc_[i]=P_ombili;waistcircage_[i]=age_exam_jour;waistcircmes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_18,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_19,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_20,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_21,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_22,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_157,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle_CDM,outcome,triglyceridesmes_146,complete,final,,triglyceridesmes_146=0;, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle_CDM,outcome,headcircage_153,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX32,PB_TANITA",,,LifeCycle_CDM,outcome,bio_149,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; -if pb_tanita eq 0 then do;bio_[i]=ex32;bioage_[i]=age_exam_jour;biomes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_23,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_24,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_25,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_26,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_27,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_28,complete,final,,/* too long to be provided and many case by case situations */, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM_CDM,PERSONS,day_of_birth,complete,,day(DATA_NASCITA),, -PELAGIE,harmonized,WAISTCIRCMES_0,,,LifeCycle_CDM,outcome,waistcircmes_146,complete,final,,waistcircmes_146=0;, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_29,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_30,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_31,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_32,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_33,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_34,complete,final,,/* too long to be provided and many case by case situations */, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM_CDM,PERSONS,month_of_birth,complete,,month(DATA_NASCITA),, -PELAGIE,harmonized,WAISTCIRCMES_0,,,LifeCycle_CDM,outcome,waistcircmes_147,complete,final,,waistcircmes_147=0;, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_35,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_36,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_37,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_38,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_39,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_40,complete,final,,/* too long to be provided and many case by case situations */, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM_CDM,PERSONS,year_of_birth,complete,,year(DATA_NASCITA),, -PELAGIE,harmonized,WAISTCIRCMES_0,,,LifeCycle_CDM,outcome,waistcircmes_148,complete,final,,waistcircmes_148=0;, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_41,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_42,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_43,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_44,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_45,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_46,complete,final,,/* too long to be provided and many case by case situations */, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM_CDM,PERSONS,day_of_death,complete,,day(DATA_MORTE_MARSI),, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_47,complete,final,,/* too long to be provided and many case by case situations */, -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp10,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_48,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_49,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_50,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_51,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_52,complete,final,,/* too long to be provided and many case by case situations */, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM_CDM,PERSONS,month_of_death,complete,,month(DATA_MORTE_MARSI),, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_53,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_54,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_152,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_55,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_56,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_57,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_58,complete,final,,/* too long to be provided and many case by case situations */, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM_CDM,PERSONS,year_of_death,complete,,year (DATA_MORTE_MARSI),, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_59,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_60,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q12,SCD_Q1,,,LifeCycle_CDM,core,weight_153,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_61,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_62,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_63,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_64,complete,final,,/* too long to be provided and many case by case situations */, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,ID_UNIVERSALE,,,OOM_CDM,OBSERVATION_PERIODS,person_id,complete,,,,Changed name -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_65,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_66,complete,final,,/* too long to be provided and many case by case situations */, -COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM_CDM,PRODUCTS,administration_dose_form,complete,,,, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_67,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_68,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_69,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_70,complete,final,,/* too long to be provided and many case by case situations */, -COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM_CDM,PRODUCTS,subst2_concentration,complete,,,, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_71,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle_CDM,outcome,headcircage_146,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_72,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_73,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_74,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_75,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_76,complete,final,,/* too long to be provided and many case by case situations */, -COD_FARMACI_SPF,COD_FARMACI_SPF,descrizione,,,OOM_CDM,PRODUCTS,medicinal_product_name,complete,,,, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_77,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle_CDM,outcome,headcircage_147,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_78,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_79,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_80,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_81,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_82,complete,final,,/* too long to be provided and many case by case situations */, -COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM_CDM,PRODUCTS,unit_of_presentation_type,complete,,,, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_83,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle_CDM,outcome,headcircage_148,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_84,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_85,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_86,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_87,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_88,complete,final,,/* too long to be provided and many case by case situations */, -COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM_CDM,PRODUCTS,unit_of_presentation_num,complete,,,, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_89,complete,final,,/* too long to be provided and many case by case situations */, -SPA,SPA,dataini,,,OOM_CDM,VISIT_OCCURRENCE,visit_start_date,complete,,,, -PELAGIE,pelagie_q2,"B22,B26,B30,B34,B38,B42,B46,B50,B54,B58,B62,B66,B70,B74,B78,B82,B86,B90,B94","pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_POIDS_4_MOIS,QS6_B1_POIDS_9_MOIS,QS6_B1_POIDS_24_MOIS,QS6_B1_POIDS_3_ANS,QS6_B1_POIDS_4_ANS,QS6_B1_POIDS_5_ANS,QS6_B1_POIDS_6_ANS",LifeCycle_CDM,core,weight_90,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"AGE_EXAM_MOIS,AGE_EXAM_JOUR",,,LifeCycle_CDM,outcome,hipcircage_150,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; - if T_hanche ne . then do;hipcirc_[i]=T_hanche;hipcircage_[i]=age_exam_jour;hipcircmes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_6,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age0,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age1,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age2,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_3,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_5,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle_CDM,outcome,headcircage_154,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle_CDM,outcome,triglyceridesmes_151,complete,final,,triglyceridesmes_151=0;, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age3,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age147,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age4,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age149,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age148,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_0,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age5,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_4,complete,final,,/* too long to be provided and many case by case situations */, -COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM_CDM,PRODUCTS,administration_route,complete,,,, -NFBC1966,core,,,,LifeCycle_CDM,core,breastfed_any,partial,final,"Brestfeed duration with categories: 1) Never, 2) 1 months, 3) months, 4) 6 months",RECODE y1_7 (4=0) (3=1) (2=3) (1=6) INTO breastfed_any.EXECUTE., -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age6,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age7,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_1,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age8,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age150,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age9,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX32,PB_TANITA",,,LifeCycle_CDM,outcome,bio_150,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; -if pb_tanita eq 0 then do;bio_[i]=ex32;bioage_[i]=age_exam_jour;biomes_[i]=0;end; - end; -end;", -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age10,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age11,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age12,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age151,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age13,complete,final,,/* too long to be provided and many case by case situations */, -NFBC1966,core,,,,LifeCycle_CDM,core,neo_unit,partial,final,1) yes 2) no,were coded to 0) no 1) yes, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age14,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age15,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age16,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age152,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age17,complete,final,,/* too long to be provided and many case by case situations */, -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp17,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age18,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age19,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age20,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age153,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age21,complete,final,,/* too long to be provided and many case by case situations */, -AP,AP,iduni,,,OOM_CDM,VISIT_OCCURRENCE,person_id,complete,,,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age22,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age23,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,LDLCMES_146,,,LifeCycle_CDM,outcome,ldlcmes_156,complete,final,,ldlcmes_156=0;, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age24,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age154,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age25,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age26,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age27,complete,final,,/* too long to be provided and many case by case situations */, -NFBC1966,core,,,,LifeCycle_CDM,core,outcome,partial,final,"Child live/dead born1) 1 alive 2) 1 stillbirth 3) 2 alive 4) 2 stillbirths 5) 1 alive, 1 stillbirth",Original codings were used, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age28,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age155,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age29,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age30,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age31,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,ldlcage_157,complete,final,,ldlcage_157=age_exam_jour;, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age32,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age156,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age33,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age34,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age35,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,ldlcage_158,complete,final,,ldlcage_158=age_exam_jour;, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age36,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age157,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age37,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age38,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age39,complete,final,,/* too long to be provided and many case by case situations */, -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp0,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age40,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age158,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age41,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age42,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age43,complete,final,,/* too long to be provided and many case by case situations */, -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp1,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age44,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age159,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age45,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age46,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age47,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age48,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age160,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age49,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age50,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age51,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age52,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age161,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age53,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age54,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age55,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age56,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age162,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age57,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age58,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age59,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age60,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age163,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age61,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age62,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age63,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age64,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age164,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age65,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age66,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age67,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age68,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age165,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age69,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age70,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age71,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age72,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age166,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age73,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age74,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age75,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age76,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age167,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age77,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age78,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age79,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age80,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age168,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age81,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age82,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age83,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age84,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age169,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age85,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age86,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age87,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age88,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_147,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age89,complete,final,,/* too long to be provided and many case by case situations */, -COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM_CDM,PRODUCTS,subst3_atc_code,complete,,,, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,core,weight_age90,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age133,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age144,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_q12,DATE,LifeCycle_CDM,core,weight_age145,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_2,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle_CDM,outcome,headcircage_157,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"AGE_EXAM_MOIS,AGE_EXAM_JOUR",,,LifeCycle_CDM,outcome,hipcircage_148,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; - if T_hanche ne . then do;hipcirc_[i]=T_hanche;hipcircage_[i]=age_exam_jour;hipcircmes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_9,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_10,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_11,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle_CDM,outcome,headcircage_158,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle_CDM,outcome,triglyceridesmes_157,complete,final,,triglyceridesmes_157=0;, -COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM_CDM,PRODUCTS,subst1_amount_per_form,complete,,,, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_12,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"AGE_EXAM_MOIS,AGE_EXAM_JOUR",,,LifeCycle_CDM,outcome,armcircage_148,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; -if P_brachial ne . then do;armcirc_[i]=P_brachial;armcircage_[i]=age_exam_jour;armcircmes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_13,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_149,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle_CDM,outcome,triglyceridesmes_152,complete,final,,triglyceridesmes_152=0;, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_14,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_15,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_16,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_17,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle_CDM,outcome,triglyceridesmes_158,complete,final,,triglyceridesmes_158=0;, -COD_FARMACI_SPF,COD_FARMACI_SPF,,,,OOM_CDM,PRODUCTS,subst2_amount_per_form,complete,,,, -PELAGIE,pelagie_exam12,"AGE_EXAM_MOIS,AGE_EXAM_JOUR",,,LifeCycle_CDM,outcome,hipcircage_149,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; - if T_hanche ne . then do;hipcirc_[i]=T_hanche;hipcircage_[i]=age_exam_jour;hipcircmes_[i]=0;end; - end; -end;", -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_18,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_19,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_20,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_150,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,LifeCycle_CDM,outcome,triglyceridesmes_153,complete,final,,triglyceridesmes_153=0;, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_21,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_22,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_23,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle_CDM,outcome,headcircage_150,complete,final,,/* too long to be provided and many case by case situations */, -SPA,SPA,iduni,,,OOM_CDM,VISIT_OCCURRENCE,person_id,complete,,,, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_24,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,TRICEPSFMES_0,,,LifeCycle_CDM,outcome,tricepsfmes_151,complete,final,,tricepsfmes_151=0;, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_25,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_26,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_27,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_151,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_28,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_29,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,pelagie_exam12,DATE,LifeCycle_CDM,outcome,headcircage_151,complete,final,,/* too long to be provided and many case by case situations */, -SPF,SPF,cod_atc5,,,OOM_CDM,MEDICINES,medicinal_product_atc_code,complete,,,, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_30,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_31,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_32,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_33,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_q2,"B24,B28,B32,B36,B40,B44,B48,B52,B56,B60,B64,B68,B72,B76,B80,B84,B88,B92,B96","pelagie_q6,pelagie_q6,pelagie_q6","QS6_B1_PERIMETRE_4_MOIS,QS6_B1_PERIMETRE_9_MOIS,QS6_B1_PERIMETRE_24_MOIS",LifeCycle_CDM,outcome,headcirc_34,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX47,EX56,EX65",,,LifeCycle_CDM,outcome,headcirc_146,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,outcome,headcircage_0,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,pelagie_exam12,"EX32,PB_TANITA",,,LifeCycle_CDM,outcome,bio_154,complete,final,,"do i = 146 to 158 ; - if age_exam_mois eq i then do; -if pb_tanita eq 0 then do;bio_[i]=ex32;bioage_[i]=age_exam_jour;biomes_[i]=0;end; - end; -end;", -PELAGIE,maj_ddn_2021,DDN_2021,"pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q2,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6,pelagie_q6","B21,B25,B29,B33,B37,B41,B45,B49,B53,B57,B61,B65,B69,B73,B77,B81,B85,B89,B93,QS6_B1_DATE_4_MOIS,QS6_B1_DATE_9_MOIS,QS6_B1_DATE_24_MOIS,QS6_B1_DATE_3_ANS,QS6_B1_DATE_4_ANS,QS6_B1_DATE_5_ANS,QS6_B1_DATE_6_ANS",LifeCycle_CDM,outcome,headcircage_1,complete,final,,/* too long to be provided and many case by case situations */, -PELAGIE,harmonized,HEADCIRCMES_0,,,LifeCycle_CDM,outcome,headcircmes_0,complete,final,"Self-reported by the parents but from medical record in the 'health carnet' from age 0 to 7 years old. -Measure by health profesional around 12-13 years old","do i=1 to 215; -headcirc_(i)=hc_(i); -headcircage_(i)=hc_age(i); -if hc_(i) ne . and 0=147 & pelagie_dosage12$age_exam_mois<148,pelagie_dosage12$Q12_LDL,NA)", -PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,ldlc_148,complete,final,,"pelagie_dosage12$ldlc_148<-ifelse(pelagie_dosage12$age_exam_mois >=148 & pelagie_dosage12$age_exam_mois<149,pelagie_dosage12$Q12_LDL,NA)", -PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,ldlc_149,complete,final,,"pelagie_dosage12$ldlc_149<-ifelse(pelagie_dosage12$age_exam_mois >=149 & pelagie_dosage12$age_exam_mois<150,pelagie_dosage12$Q12_LDL,NA)", -RMR,RMR,,,,OOM_CDM,SURVEY_ID,survey_origin,complete,,‘RMR’,, -PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,ldlc_150,complete,final,,"pelagie_dosage12$ldlc_150<-ifelse(pelagie_dosage12$age_exam_mois >=150 & pelagie_dosage12$age_exam_mois<151,pelagie_dosage12$Q12_LDL,NA)", -PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,ldlc_151,complete,final,,"pelagie_dosage12$ldlc_151<-ifelse(pelagie_dosage12$age_exam_mois >=151 & pelagie_dosage12$age_exam_mois<152,pelagie_dosage12$Q12_LDL,NA)", -PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,ldlc_152,complete,final,,"pelagie_dosage12$ldlc_152<-ifelse(pelagie_dosage12$age_exam_mois >=152 & pelagie_dosage12$age_exam_mois<153,pelagie_dosage12$Q12_LDL,NA)", -PELAGIE,harmonized,LDLCMES_146,,,LifeCycle_CDM,outcome,ldlcmes_155,complete,final,,ldlcmes_155=0;, -PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,ldlc_153,complete,final,,"pelagie_dosage12$ldlc_153<-ifelse(pelagie_dosage12$age_exam_mois >=153 & pelagie_dosage12$age_exam_mois<154,pelagie_dosage12$Q12_LDL,NA)", -PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,ldlc_154,complete,final,,"pelagie_dosage12$ldlc_154<-ifelse(pelagie_dosage12$age_exam_mois >=154 & pelagie_dosage12$age_exam_mois<155,pelagie_dosage12$Q12_LDL,NA)", -PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,ldlc_155,complete,final,,"pelagie_dosage12$ldlc_155<-ifelse(pelagie_dosage12$age_exam_mois >=155 & pelagie_dosage12$age_exam_mois<156,pelagie_dosage12$Q12_LDL,NA)", -PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,ldlc_156,complete,final,,"pelagie_dosage12$ldlc_156<-ifelse(pelagie_dosage12$age_exam_mois >=156 & pelagie_dosage12$age_exam_mois<157,pelagie_dosage12$Q12_LDL,NA)", -PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,ldlc_157,complete,final,,"pelagie_dosage12$ldlc_157<-ifelse(pelagie_dosage12$age_exam_mois >=157 & pelagie_dosage12$age_exam_mois<158,pelagie_dosage12$Q12_LDL,NA)", -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp4,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -PELAGIE,pelagie_dosage12,Q12_LDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,ldlc_158,complete,final,,"pelagie_dosage12$ldlc_158<-ifelse(pelagie_dosage12$age_exam_mois >=158 & pelagie_dosage12$age_exam_mois<159,pelagie_dosage12$Q12_LDL,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,ldlcage_146,complete,final,,ldlcage_146=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,ldlcage_147,complete,final,,ldlcage_147=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,ldlcage_148,complete,final,,ldlcage_148=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,ldlcage_154,complete,final,,ldlcage_154=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,ldlcage_155,complete,final,,ldlcage_155=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,ldlcage_156,complete,final,,ldlcage_156=age_exam_jour;, -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_146,complete,final,,"pelagie_dosage12$hdlc_146<-ifelse(pelagie_dosage12$age_exam_mois<147,pelagie_dosage12$Q12_HDL,NA)", -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_147,complete,final,,"pelagie_dosage12$hdlc_147<-ifelse(pelagie_dosage12$age_exam_mois >=147 & pelagie_dosage12$age_exam_mois<148,pelagie_dosage12$Q12_HDL,NA)", -NFBC1966,core,,,,LifeCycle_CDM,core,latepreg_weight_ga,complete,final,,see late latepreg_weight syntax, -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_148,complete,final,,"pelagie_dosage12$hdlc_148<-ifelse(pelagie_dosage12$age_exam_mois >=148 & pelagie_dosage12$age_exam_mois<149,pelagie_dosage12$Q12_HDL,NA)", -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_149,complete,final,,"pelagie_dosage12$hdlc_149<-ifelse(pelagie_dosage12$age_exam_mois >=149 & pelagie_dosage12$age_exam_mois<150,pelagie_dosage12$Q12_HDL,NA)", -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_150,complete,final,,"pelagie_dosage12$hdlc_150<-ifelse(pelagie_dosage12$age_exam_mois >=150 & pelagie_dosage12$age_exam_mois<151,pelagie_dosage12$Q12_HDL,NA)", -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_151,complete,final,,"pelagie_dosage12$hdlc_151<-ifelse(pelagie_dosage12$age_exam_mois >=151 & pelagie_dosage12$age_exam_mois<152,pelagie_dosage12$Q12_HDL,NA)", -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_152,complete,final,,"pelagie_dosage12$hdlc_152<-ifelse(pelagie_dosage12$age_exam_mois >=152 & pelagie_dosage12$age_exam_mois<153,pelagie_dosage12$Q12_HDL,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,hdlcage_149,complete,final,,hdlcage_149=age_exam_jour;, -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_153,complete,final,,"pelagie_dosage12$hdlc_153<-ifelse(pelagie_dosage12$age_exam_mois >=153 & pelagie_dosage12$age_exam_mois<154,pelagie_dosage12$Q12_HDL,NA)", -NFBC1966,core,,,,LifeCycle_CDM,core,prepreg_weight,partial,final,"Variable name changed, 0 meant in original variable as not known and was coded as missing, if prepregnancy weight was not known, and first maternity clinic visit was during IV month or earlier and weight was measured this value was used.",, -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_154,complete,final,,"pelagie_dosage12$hdlc_154<-ifelse(pelagie_dosage12$age_exam_mois >=154 & pelagie_dosage12$age_exam_mois<155,pelagie_dosage12$Q12_HDL,NA)", -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_155,complete,final,,"pelagie_dosage12$hdlc_155<-ifelse(pelagie_dosage12$age_exam_mois >=155 & pelagie_dosage12$age_exam_mois<156,pelagie_dosage12$Q12_HDL,NA)", -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,SESSO,,,OOM_CDM,PERSONS,sex_at_instance_creation,complete,,"If there are discrepancies, use the most recent value",, -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_156,complete,final,,"pelagie_dosage12$hdlc_156<-ifelse(pelagie_dosage12$age_exam_mois >=156 & pelagie_dosage12$age_exam_mois<157,pelagie_dosage12$Q12_HDL,NA)", -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_157,complete,final,,"pelagie_dosage12$hdlc_157<-ifelse(pelagie_dosage12$age_exam_mois >=157 & pelagie_dosage12$age_exam_mois<158,pelagie_dosage12$Q12_HDL,NA)", -PELAGIE,pelagie_dosage12,Q12_HDL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,hdlc_158,complete,final,,"pelagie_dosage12$hdlc_158<-ifelse(pelagie_dosage12$age_exam_mois >=158 & pelagie_dosage12$age_exam_mois<159,pelagie_dosage12$Q12_HDL,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,hdlcage_146,complete,final,,hdlcage_146=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,hdlcage_147,complete,final,,hdlcage_147=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,hdlcage_148,complete,final,,hdlcage_148=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,hdlcage_150,complete,final,,hdlcage_150=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,hdlcage_151,complete,final,,hdlcage_151=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,hdlcage_152,complete,final,,hdlcage_152=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,hdlcage_153,complete,final,,hdlcage_153=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,hdlcage_154,complete,final,,hdlcage_154=age_exam_jour;, -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_148,complete,final,,"pelagie_dosage12$chol_148<-ifelse(pelagie_dosage12$age_exam_mois >=148 & pelagie_dosage12$age_exam_mois<149,pelagie_dosage12$Q12_Cholesterol_total,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,cholage_154,complete,final,,cholage_154=age_exam_jour;, -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_149,complete,final,,"pelagie_dosage12$chol_149<-ifelse(pelagie_dosage12$age_exam_mois >=149 & pelagie_dosage12$age_exam_mois<150,pelagie_dosage12$Q12_Cholesterol_total,NA)", -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_150,complete,final,,"pelagie_dosage12$chol_150<-ifelse(pelagie_dosage12$age_exam_mois >=150 & pelagie_dosage12$age_exam_mois<151,pelagie_dosage12$Q12_Cholesterol_total,NA)", -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_151,complete,final,,"pelagie_dosage12$chol_151<-ifelse(pelagie_dosage12$age_exam_mois >=151 & pelagie_dosage12$age_exam_mois<152,pelagie_dosage12$Q12_Cholesterol_total,NA)", -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_152,complete,final,,"pelagie_dosage12$chol_152<-ifelse(pelagie_dosage12$age_exam_mois >=152 & pelagie_dosage12$age_exam_mois<153,pelagie_dosage12$Q12_Cholesterol_total,NA)", -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_153,complete,final,,"pelagie_dosage12$chol_153<-ifelse(pelagie_dosage12$age_exam_mois >=153 & pelagie_dosage12$age_exam_mois<154,pelagie_dosage12$Q12_Cholesterol_total,NA)", -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_154,complete,final,,"pelagie_dosage12$chol_154<-ifelse(pelagie_dosage12$age_exam_mois >=154 & pelagie_dosage12$age_exam_mois<155,pelagie_dosage12$Q12_Cholesterol_total,NA)", -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,chol_155,complete,final,,"pelagie_dosage12$chol_155<-ifelse(pelagie_dosage12$age_exam_mois >=155 & pelagie_dosage12$age_exam_mois<156,pelagie_dosage12$Q12_Cholesterol_total,NA)", -NFBC1966,core,,,,LifeCycle_CDM,core,plac_weight,partial,final,"Placenta weight, weight was reported with the accuracy of 10g. For example 570 was coded as 57. If there were twins and there are more than one placenta, weights of placentas are counted up and then diveded by two.",COMPUTE plac_weight=C6600Q_F12v089 * 10.EXECUTE., -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_148,complete,final,,"pelagie_dosage12$triglyceridesage_148<-ifelse(pelagie_dosage12$age_exam_mois >=148 & pelagie_dosage12$age_exam_mois<149 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_149,complete,final,,"pelagie_dosage12$triglyceridesage_149<-ifelse(pelagie_dosage12$age_exam_mois >=149 & pelagie_dosage12$age_exam_mois<150 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_150,complete,final,,"pelagie_dosage12$triglyceridesage_150<-ifelse(pelagie_dosage12$age_exam_mois >=150 & pelagie_dosage12$age_exam_mois<151 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_151,complete,final,,"pelagie_dosage12$triglyceridesage_151<-ifelse(pelagie_dosage12$age_exam_mois >=151 & pelagie_dosage12$age_exam_mois<152 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_152,complete,final,,"pelagie_dosage12$triglyceridesage_152<-ifelse(pelagie_dosage12$age_exam_mois >=152 & pelagie_dosage12$age_exam_mois<153 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_153,complete,final,,"pelagie_dosage12$triglyceridesage_153<-ifelse(pelagie_dosage12$age_exam_mois >=153 & pelagie_dosage12$age_exam_mois<154 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_154,complete,final,,"pelagie_dosage12$triglyceridesage_154<-ifelse(pelagie_dosage12$age_exam_mois >=154 & pelagie_dosage12$age_exam_mois<155 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp8,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -NFBC1966,core,,,,LifeCycle_CDM,core,parity_m,partial,final,How many deliveries has mothed had?,RECODE C6600Q_F12v060 (0=0) (1=1) (2=2) (3=3) (4 thru 100=4) INTO parity_m. EXECUTE, -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_155,complete,final,,"pelagie_dosage12$triglyceridesage_155<-ifelse(pelagie_dosage12$age_exam_mois >=155 & pelagie_dosage12$age_exam_mois<156 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_156,complete,final,,"pelagie_dosage12$triglyceridesage_156<-ifelse(pelagie_dosage12$age_exam_mois >=156 & pelagie_dosage12$age_exam_mois<157 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_157,complete,final,,"pelagie_dosage12$triglyceridesage_157<-ifelse(pelagie_dosage12$age_exam_mois >=157 & pelagie_dosage12$age_exam_mois<158 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,"pelagie_exam12,pelagie_exam12","AGE_EXAM_MOIS,AGE_EXAM_JOUR",LifeCycle_CDM,outcome,triglycerides_158,complete,final,,"pelagie_dosage12$triglyceridesage_158<-ifelse(pelagie_dosage12$age_exam_mois >=158 & pelagie_dosage12$age_exam_mois<159 & (!is.na(pelagie_dosage12$Q12_Triglycerides)),pelagie_dosage12$age_exam_jour,NA)", -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_146,complete,final,,triglyceridesage_146=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_147,complete,final,,triglyceridesage_147=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_148,complete,final,,triglyceridesage_148=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_149,complete,final,,triglyceridesage_149=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_150,complete,final,,triglyceridesage_150=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_151,complete,final,,triglyceridesage_151=age_exam_jour;, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,,,LifeCycle_CDM,outcome,triglyceridesage_152,complete,final,,triglyceridesage_152=age_exam_jour;, -RMR,RMR,datmorte,,,OOM_CDM,SURVEY_OBSERVATIONS,so_date,complete,,,, -NFBC1966,core,,,,LifeCycle_CDM,core,occup_f1_14,partial,final,"Asked at the 14-year questionnaire, father is 1) working, 2) unemployed, 3) on sick leave 4) is on illness, retirement- or old-age pension,5) student",RECODE C6614Q_NTT_043 (1=1) (2=3) (5=4) (3 thru 4=6) INTO occup_f1_14. EXECUTE, -PELAGIE,harmonized,"COHAB_0,COB_M,OCCUP_M_0,OCCUP_F1_0",pelagie_q0,V49,LifeCycle_CDM,core,eusilc_income,complete,final,,"log_income= 7.525938 + - -0.3140028*sans_conjoint + - - 0.0513736*ne_eu + - -0.1428242*ne_hors + - - -0.0954557*etude_primary + - -0.0752083*etude_lowsecondary + - 0.1353596*etude_postsecondary + - - -0.284897*unemployed_p + - - -0.3175347*unemployed_m + - - -0.0387119*isco_p_1 + - -0.1505033*isco_p_3 + - -0.2064757*isco_p_4 + - -0.2360499*isco_p_5 + - -0.274532*isco_p_67 + - -0.252697*isco_p_8 + - -0.2091455*isco_p_90 + - - 0.1308386*isco_m_1 + - -.0202359*isco_m_3 + - -.0922188*isco_m_4 + - -.1481054*isco_m_5 + - -.1583442*isco_m_678 + - -.2220469*isco_m_90 + - - 0.0046984*agemere; - -eusilc_income=log_income;","Calculated considering: -- NOT living with a partner -- Maternal country of birth (EU vs OTHER) -- Maternal education (≤ primary, lower secondary, post-secondary) -- Paternal/partner occupation (unemployed 0/1) -- Maternal occupation (unemployed 0/1)" -PELAGIE,harmonized,EUSILC_INCOME,,,LifeCycle_CDM,core,eusilc_income_quintiles,complete,final,,"if log_income=. then log_income_quint=.; -else if log_income le 7.23117 then log_income_quint=1; -else if 7.23117 < log_income le 7.40453 then log_income_quint=2; -else if 7.40453 < log_income le 7.54647 then log_income_quint=3; -else if 7.54647 < log_income le 7.68578 then log_income_quint=4; -else if log_income > 7.68578 then log_income_quint=5; - -eusilc_income_quintiles=log_income_quint;", -NFBC1966,core,,,,LifeCycle_CDM,core,preg_thyroid,partial,final,Only information concerning thyrotoxicosis available and not covering the whole pregnancy with options 1) yes 2) no,were coded to 0) no 1) yes, -NFBC1966,core,,,,LifeCycle_CDM,core,weight_1,complete,final,Repeated measures of child's weight between the ages of 0- and <1 mont to >-215 and 216 months,vector weight_(215) / height_(215).loop #i = 1 to 215 by 1.IF((C66_age_years >= #i/12) & (C66_age_years< (#i+1)/12)) weight_(#i)=C66_weight.IF ( (C66_age_years >= #i/12) & (C66_age_years< (#i+1)/12)) height_(#i)=C66_height.end loop.EXECUTE., -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp14,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -NFBC1966,wave_01,"ZP05,C6646Q2_41",,,LongITools_CDM,wave_01,hhincome_own,partial,final,"The variable is partially harmonised because categories were created by categorising household incomes into quartiles, not based on the national household income distribution in the year of follow-up","# household income at 31yr -sour[""hhincome_own31""] <- NA -sour$hhincome_own31[sour$ZP05 >= quantile(sour$ZP05, na.rm = T)[4]] <- 1 -sour$hhincome_own31[sour$ZP05 < quantile(sour$ZP05, na.rm = T)[4] & - sour$ZP05 >= quantile(sour$ZP05, na.rm = T)[3]] <- 2 -sour$hhincome_own31[sour$ZP05 < quantile(sour$ZP05, na.rm = T)[3] & - sour$ZP05 >= quantile(sour$ZP05, na.rm = T)[2]] <- 3 -sour$hhincome_own31[sour$ZP05 < quantile(sour$ZP05, na.rm = T)[2]] <- 4 - -# make the add_new function -add_new <- function(sour_data, sour_var, new_var, age, method) { - add <- sour_data[, c(""project_ID"", sour_var)] - add[""variable""] <- new_var - add[""measure""] <- add[,sour_var] - if(is.na(age)) { - add[""age""] <- NA - } else if(is.numeric(age)) { - add[""age""] <- age - } else { - add[""age""] <- sour_data[,age] - } - if(is.na(method)) { - add[""method""] <- NA - } else { - add[""method""] <- sour_data[,method] - } - add <- add[,c(""project_ID"", ""variable"", ""measure"", ""age"", ""method"")] - names(add) <- c(""id"", ""variable"", ""measure"", ""age"", ""method"") - add <- add[!is.na(add$measure),] -} - -add <- add_new(sour, ""hhincome_own31"", ""hhincome_own"", ""age31"", NA) -harm <- rbind(harm, add) - -# household income at 46yr -sour$C6646Q2_41[sour$C6646Q2_41 == "".""] <- NA -sour$C6646Q2_41[sour$C6646Q2_41 == """"] <- NA -sour$C6646Q2_41 <- as.numeric(sour$C6646Q2_41) -sour[""hhincome_own46""] <- NA -sour$hhincome_own46[sour$C6646Q2_41 >= quantile(sour$C6646Q2_41, na.rm = T)[4]] <- 1 -sour$hhincome_own46[sour$C6646Q2_41 < quantile(sour$C6646Q2_41, na.rm = T)[4] & - sour$C6646Q2_41 >= quantile(sour$C6646Q2_41, na.rm = T)[3]] <- 2 -sour$hhincome_own46[sour$C6646Q2_41 < quantile(sour$C6646Q2_41, na.rm = T)[3] & - sour$C6646Q2_41 >= quantile(sour$C6646Q2_41, na.rm = T)[2]] <- 3 -sour$hhincome_own46[sour$C6646Q2_41 < quantile(sour$C6646Q2_41, na.rm = T)[2]] <- 4 - -add <- add_new(sour, ""hhincome_own46"", ""hhincome_own"", ""age46"", NA) -harm <- rbind(harm, add)", -NFBC1966,core,,,,LifeCycle_CDM,core,occup_f1_0,partial,final,"Father's social status 1) employer,entrepreneur,2) manager,officer, 3) worker 4) assisting family member 0) does not have occupation",RECODE C6600Q_F12v020 (2=1) (3=1) (1=2) (4=5) (9=SYSMIS) (0=0) INTO occup_f1_0., -NFBC1966,core,,,,LifeCycle_CDM,core,birth_length,complete,final,Birth leght (only variable name changed),, -NFBC1966,core,,,,LifeCycle_CDM,core,occup_m_14,partial,final,"Child's mother 1) idoes not work outside home (housewife), 2) works outside of home 3) is now unemployed , 4) is on sick leave, 5) is on illness, retirement- or old age pension, 6) has a part-time job, 7) works occasionally 9) no information, 0) not concerning the subject (students are included in the category 1). Classes 9 and 0 were coded as system-missing .",RECODE C6614Q_NTT_039 (2=1) (6=1) (7=1) (3=3) (1=5) (4 thru 5=6) INTO occup_m_14. EXECUTE, -NFBC1966,core,,,,LifeCycle_CDM,core,preg_psych,partial,final,"Has the mother's mood been during this pregnancy? 1) ordinary, 2) depressed, 3) very depressed (depressed and very depressed were combined)",ordinary were coded as 0) no and depressed 1) yes, -NFBC1966,core,,,,LifeCycle_CDM,core,height_215,complete,final,Repeated measures of child's height between the ages of 0- and <1 mont to >-215 and 216 months,vector weight_(215) / height_(215).loop #i = 1 to 215 by 1.IF((C66_age_years >= #i/12) & (C66_age_years< (#i+1)/12)) weight_(#i)=C66_weight.IF ( (C66_age_years >= #i/12) & (C66_age_years< (#i+1)/12)) height_(#i)=C66_height.end loop.EXECUTE., -NFBC1966,core,,,,LifeCycle_CDM,core,cohab_0,partial,final,"Marital status of the mother was asked during pregnancy and used as a measure of cohabitation. Original categories were 0) not known, 1) married, 2) unmarried, 3) widowed, 4) divorced.",C6600Q_F12v002 (0=SYSMIS) (1=1) (2 thru 4=2) INTO cohab_0. EXECUTE, -NFBC1966,core,,,,LifeCycle_CDM,core,coh_country,complete,final,New variable conducted based on the country of the cohort (ISO 3166 numeric country codes),, -NFBC1966,core,,,,LifeCycle_CDM,core,ga_lmp,complete,final,In original variable was reported in weeks and was recalculated for days,COMPUTE ga_lmp= C6600Q_F12v095 * 7 + 3.5., -NFBC1966,core,,,,LifeCycle_CDM,core,plac_abrup,complete,final,Where there some of the following? ablatio placenta,RECODE C6600_F8V038 (2=0) (1=1) INTO plac_abrup. EXECUTE, -RMR,RMR,,,,OOM_CDM,SURVEY_OBSERVATIONS,so_source_table,complete,,RMR,, -NFBC1966,core,,,,LifeCycle_CDM,core,smk_t3,complete,final,"Number of cigarettes/pipefuls the mother smoked per day during the last three months of pregnancy? 0) 0, 1) 1-5 cigarettes 2) 6-10 cigarettes 3) 11-15 cigarettes 4) 16-20 cigarettes 5) 21 or more cigarettes 6) 1-3 pipefuls 8) 9 or more pipefuls 9) not known",RECODE C6600Q_F12v077 (0=0) (9=SYSMIS) (1 thru 8=1) INTO smk_t3. EXECUTE., -NFBC1966,wave_01,"ZP79,ZP80,ZP81,C6646Q1_39,C6646Q1_40,C6646Q1_41",,,LongITools_CDM,wave_01,smk_ever,complete,final,,"# smk_ever at 31yr - -sour[""smk_ever31""] <- NA -sour$smk_ever31[sour$ZP79 == 1 | sour$ZP80 == 1] <- 0 # Never -sour$smk_ever31[sour$ZP79 == 2 & sour$ZP80 == 2] <- 2 # Current smoker -sour$smk_ever31[(sour$ZP81 > 12 & sour$ZP81 < 31) & sour$ZP80 == 2] <- 1 # Former smoker - -# add new variable -add_new <- function(sour_data, sour_var, new_var, age, method) { - add <- sour_data[, c(""project_ID"", sour_var)] - add[""variable""] <- new_var - add[""measure""] <- add[,sour_var] - if(is.na(age)) { - add[""age""] <- NA - } else if(is.numeric(age)) { - add[""age""] <- age - } else { - add[""age""] <- sour_data[,age] - } - if(is.na(method)) { - add[""method""] <- NA - } else { - add[""method""] <- sour_data[,method] - } - add <- add[,c(""project_ID"", ""variable"", ""measure"", ""age"", ""method"")] - names(add) <- c(""id"", ""variable"", ""measure"", ""age"", ""method"") - add <- add[!is.na(add$measure),] -} - -add <- add_new(sour, ""smk_ever31"", ""smk_ever"", ""age31"", NA) -harm <- rbind(harm, add) - -# smk_ever at 46yr - -sour[""smk_ever46""] <- NA -sour$smk_ever46[sour$C6646Q1_39 == 1 | sour$C6646Q1_40 == 1] <- 0 # Never -sour$smk_ever46[sour$C6646Q1_39 == 2 & sour$C6646Q1_40 == 2] <- 2 # Current smoker -sour$smk_ever46[(sour$C6646Q1_41 > 12 & sour$C6646Q1_41 < 46) & sour$C6646Q1_40 == 2] <- 1 # Former smoker - -add <- add_new(sour, ""smk_ever46"", ""smk_ever"", ""age46"", NA) -harm <- rbind(harm, add)", -testCohort1,test dataset for testCohort1,var9,,,testNetwork1_CDM,cdm_1,testVarRepeats_9,complete,,some description,some syntax, -NFBC1966,wave_01,"ZP0402,C6646Q1_2,C6646Q1_2_2,C6646Q1_2_3,C6646Q1_2_2_1,C6646Q1_2_3_1",,,LongITools_CDM,wave_01,famsize_child_own,complete,final,,"# number of children in the household at 31yr - -sour[""famsize_child_own31""] <- sour$ZP0402 - -# add new variable -add_new <- function(sour_data, sour_var, new_var, age, method) { - add <- sour_data[, c(""project_ID"", sour_var)] - add[""variable""] <- new_var - add[""measure""] <- add[,sour_var] - if(is.na(age)) { - add[""age""] <- NA - } else if(is.numeric(age)) { - add[""age""] <- age - } else { - add[""age""] <- sour_data[,age] - } - if(is.na(method)) { - add[""method""] <- NA - } else { - add[""method""] <- sour_data[,method] - } - add <- add[,c(""project_ID"", ""variable"", ""measure"", ""age"", ""method"")] - names(add) <- c(""id"", ""variable"", ""measure"", ""age"", ""method"") - add <- add[!is.na(add$measure),] -} - -add <- add_new(sour, ""famsize_child_own31"", ""famsize_child_own"", ""age31"", NA) -harm <- rbind(harm, add) - -# number of chilren in the household at 46yr - -sour[""famsize_child_own46""] <- sour$C6646Q1_2_2_1 -sour$famsize_child_own46[is.na(sour$famsize_child_own46)] <- 0 -sour$famsize_child_own46 <- sour$famsize_child_own46 + sour$C6646Q1_2_3_1 -sour$famsize_child_own46[(sour$C6646Q1_2_2 == 1 & sour$C6646Q1_2_3 == 1) | sour$C6646Q1_2 == 1] <- 0 - -add <- add_new(sour, ""famsize_child_own46"", ""famsize_child_own"", ""age46"", NA) -harm <- rbind(harm, add)", -NFBC1966,core,,,,LifeCycle_CDM,core,preg_no,complete,final,,, -NFBC1966,core,,,,LifeCycle_CDM,core,child_no,complete,final,,, -NFBC1966,core,,,,LifeCycle_CDM,core,preg_gain_mes,complete,final,New variable conducted,, -NFBC1966,core,,,,LifeCycle_CDM,core,cohab_14,complete,final,"Whether mother (C6614Q_NTT_037) and father ( C6614Q_NTT_041) were 1) alive, 2) dead or 3 ) lives, but does not live at home ( was asked at the 14-year follow-up by the questionnaire). In addition,in C6614Q_NTT_037 concerning mother option 9) meant no information and in variable C6614Q_NTT_041 concerning father option 4) meant I don't know anything about him and these 9 and 4 were coded as system-missing.","IF (C6614Q_NTT_037=2 and C6614Q_NTT_041=1) cohab_14=2. -IF (C6614Q_NTT_037=1 and C6614Q_NTT_041=2) cohab_14=2. -IF (C6614Q_NTT_037=1 and C6614Q_NTT_041=3) cohab_14=2. -IF (C6614Q_NTT_037=3 and C6614Q_NTT_041=1 ) cohab_14=2. -IF (C6614Q_NTT_037=1 and C6614Q_NTT_041=1) cohab_14=1. -IF (C6614Q_NTT_037=2 and C6614Q_NTT_041=2) cohab_14=2. -IF (C6614Q_NTT_037=3 and C6614Q_NTT_041=3) cohab_14=2. -EXECUTE.", -NFBC1966,core,,,,LifeCycle_CDM,core,occup_m_0,partial,final,"Has the mother been in paid employment outside of the home during this pregnancy? 0) not known, 1) no at all, 2,) mostly part-time, 3) full-time",RECODE C6600Q_F12v021 (1=6) (0=6) (2 thru 3=1) INTO occup_m_0. EXECUTE., -NFBC1966,core,,,,LifeCycle_CDM,core,prepreg_smk,complete,final,"During the 12 months preceding the pregnancy, did the mother smoke at least one cigarette or pipeful of tobacco a day? 0=no, 1= cigrettes, 2, pipe, 9 not known",RECODE C6600Q_F12v052 (0=0) (9=SYSMIS) (1 thru 2=1) INTO prepreg_smk. EXECUTE., -NFBC1966,core,,,,LifeCycle_CDM,core,breastfed_ever,complete,final,"Brestfeed duration with categories: 1) Never, 2) 1 months, 3) months, 4) 6 months",RECODE breastfed_any (0=0) (1 thru 6=1) INTO breastfed_ever.EXECUTE., -NFBC1966,core,,,,LifeCycle_CDM,core,preeclam,partial,final,"1) gestational hypertension (BP 145/95 mmHg or more after 20th gestational week. Normal BP in the early pregnancy i.e. (<20th gestational week). No proteinuria. 2) pre-eclampsia ( BP 145/95 mmHg or more after 20th gestational week. Normal BP in the early pregnancy i.e. (<20th gestational week). Proteinuria at least in one sample during pregnancy). 3) Chronic hypertension a. BP elevated already in early pregnancy ((<20th gestational week), 145/95 mmHg or more, and BP elevated also during whole pregnancy or after pregnancy (6weeks after pregnancy)) b. Chronic hypertension (hypertension essentialis) diagnose registered in questionnaire) 4.) Superimposed pre-eclampsia (chronic hypertension+protenuria, 5) Could not be determinated (all BP values not available 6) not known, 7) Systolic BP elevated Systolic BP >145 and diastolic BP < 95. Includes also women with proteinuria. 8.) Normotensive- BP under 145/95 and is not included in any of the above mentioned groups.9.) DiastolicBP elevated (Diastolic BP >95 and systolic BP < 145, Includes also women with proteinuria). In the 1960's , BP was recorded by rounding up or down to the nearest 5mmHg, thus values >=145/95 represent hypertension.",RECODE C6600_UURRHYLK (1=0) (2=1) (3=0) (4=1) (5=0) (6=SYSMIS) (7 thru 9=0) INTO preeclam.EXECUTE., -NFBC1966,core,,,,LifeCycle_CDM,core,preg_plan,partial,final,"The mother considers this pregnancy 1) happened at an appropriate time, 2) would have been more desirable later 3) would not have been wanted 0) not known,",RECODE C6600Q_F12v050 (3=2) (0=SYSMIS) (1 thru 2=1) INTO preg_plan, -NFBC1966,core,,,,LifeCycle_CDM,core,smk_t1,partial,final,Mother smoking at 2 month: 0) not known 1) continued 2) stopped 3) did not smoked,RECODE C6600Q_F12v114 (0=SYSMIS) (3=0) (1 thru 2=1) INTO smk_t1. EXECUTE, -NFBC1966,core,,,,LifeCycle_CDM,core,death_m_age,complete,final,Age of the child at the time of the mother's death (continuous in days) (value 99999 means that child had died before mother),, -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp7,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -NFBC1966,core,,,,LifeCycle_CDM,core,weight_215,complete,final,Repeated measures of child's weight between the ages of 0- and <1 mont to >-215 and 216 months,vector weight_(215) / height_(215).loop #i = 1 to 215 by 1.IF((C66_age_years >= #i/12) & (C66_age_years< (#i+1)/12)) weight_(#i)=C66_weight.IF ( (C66_age_years >= #i/12) & (C66_age_years< (#i+1)/12)) height_(#i)=C66_height.end loop.EXECUTE., -NFBC1966,core,,,,LifeCycle_CDM,core,smk_exp14,complete,final,"Father's smoking 1) never 2) sometimes, but not nowdays,3) smokes, 4) don't know 0) does not concern the subject",RECODE C6614Q_NTT_045 (1=0) (2=0) (3=1) (4=0) INTO smk_exp14., -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp13,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -NFBC1966,core,,,,LifeCycle_CDM,core,famsize_child0,partial,final,How many persons belongs to household? How many of them are under 15-year-old? 0) none 1)1 2) 2 3) 3 4) 4 5) 5 6) 6 7) 7 8) 8 or more 9) not known,, -NFBC1966,core,,,,LifeCycle_CDM,core,famsize_child14,partial,final,How many children there are/has been in your family? (C6614Q_NTT_034) Is someone from the children already living away from home? How many? (C6614Q_NTT_035) Is someone from the children died? How many? (C6614Q_NTT_036 ),"COMPUTE lapsiluku_14=C6614Q_NTT_034 - C6614Q_NTT_035 - C6614Q_NTT_036. -EXECUTE. RECODE lapsiluku_14 (-9 thru -1=SYSMIS). -EXECUTE.RECODE lapsiluku_14 (ELSE=Copy) INTO famsize_child14. (lapsiluku_14 means amount of children_14)", -NFBC1966,wave_01,"ZP06,ZP07,C6646Q1_4,C6646Q1_5",,,LongITools_CDM,wave_01,edu,complete,final,,"# education at 31yr -sour[""edu31""] <- NA -sour$edu31[(sour$ZP06 == 3 & sour$ZP07 > 4) | sour$ZP07 == 6] <- 1 -sour$edu31[is.na(sour$edu31) & sour$ZP07 > 2] <- 2 -sour$edu31[is.na(sour$edu31) & (sour$ZP06 == 1 | sour$ZP07 > 0)] <- 3 - -# make the add_new function -add_new <- function(sour_data, sour_var, new_var, age, method) { - add <- sour_data[, c(""project_ID"", sour_var)] - add[""variable""] <- new_var - add[""measure""] <- add[,sour_var] - if(is.na(age)) { - add[""age""] <- NA - } else if(is.numeric(age)) { - add[""age""] <- age - } else { - add[""age""] <- sour_data[,age] - } - if(is.na(method)) { - add[""method""] <- NA - } else { - add[""method""] <- sour_data[,method] - } - add <- add[,c(""project_ID"", ""variable"", ""measure"", ""age"", ""method"")] - names(add) <- c(""id"", ""variable"", ""measure"", ""age"", ""method"") - add <- add[!is.na(add$measure),] -} - -# add new variable to harmonised variables table -add <- add_new(sour, ""edu31"", ""edu"", ""age31"", NA) -harm <- rbind(harm, add) - -# education at 46yr -sour[""edu46""] <- NA -sour$edu46[(sour$C6646Q1_4 == 3 & sour$C6646Q1_5 > 4) | sour$C6646Q1_5 == 6] <- 1 -sour$edu46[is.na(sour$edu46) & sour$C6646Q1_5 > 2] <- 2 -sour$edu46[is.na(sour$edu46) & (sour$C6646Q1_4 == 1 | sour$C6646Q1_5 > 0)] <- 3 - -# add new variable to harmonised variables table -add <- add_new(sour, ""edu46"", ""edu"", ""age46"", NA) -harm <- rbind(harm, add)", -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp15,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -NFBC1966,core,,,,LifeCycle_CDM,core,edu_m_0,partial,final,"0) none or circulating school, 1) 1-4 yrs of elementary school, 2) 5-8 years of elementary school or part of secondary school, 3) 1/2-2 years of vocational school, 4) more than 2 years of vocational school, 5) secondary school, 6) secondary school or more,7) matrixulation examination 8) matrixulation examination and more 9) not known.",RECODE C6600Q_F12v044 (8=1) (9=SYSMIS) (0 thru 5=3) (6 thru 7=2) INTO edu_m_0. EXECUTE., -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp2,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -NFBC1966,core,,,,LifeCycle_CDM,core,birth_month,complete,final,Birth month and year from register separated to month,, -NFBC1966,core,,,,LifeCycle_CDM,core,latepreg_weight,complete,final,,"weight_last_nl = C6600_F8V061 + C6600_F8V062/10; -weight_hospital = C6600_F8V063 + C6600_F8V064/10; - -days_btw_nl_birth = intck('days', last_neuvola_date, birthdate); -ga_days = C6600Q_F12v095*7+3.5; -if C6600Q_F12v095=0 then ga_days = .; -last_neuvola_ga_days = ga_days - days_btw_nl_birth; -if .= 210 then last_neuvola_ga_days = .; - -latepreg_weight = weight_hospital; -if weight_hospital=. and last_neuvola_ga_days >= (32*7+3.5) then latepreg_weight = weight_last_nl; *otetaan viimeisen neuvolakäynnin paino, jos silloin ga >= 32;; -if weight_hospital ne . then latepreg_weight_ga = ga_days; -if weight_hospital=. and weight_last_nl ne . and latepreg_weight ne . then latepreg_weight_ga = last_neuvola_ga_days;", -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp11,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -NFBC1966,core,,,,LifeCycle_CDM,core,mental_exp12,complete,final,Register based diagnosed and child age when diagnos was received,Syntax was extremely long (available when asked), -NFBC1966,core,,,,LifeCycle_CDM,core,height_1,complete,final,Repeated measures of child's height between the ages of 0- and <1 mont to >-215 and 216 months,vector weight_(215) / height_(215).loop #i = 1 to 215 by 1.IF((C66_age_years >= #i/12) & (C66_age_years< (#i+1)/12)) weight_(#i)=C66_weight.IF ( (C66_age_years >= #i/12) & (C66_age_years< (#i+1)/12)) height_(#i)=C66_height.end loop.EXECUTE., -NFBC1966,core,,,,LifeCycle_CDM,core,weight_0,complete,final,,IF ( C66_age_years >= 0 & C66_age_years< 1/12) weight_0=C66_weight., -NFBC1966,core,,,,LifeCycle_CDM,core,fam_splitup14,partial,final,,if (cohab_0=1 and cohab_14=1) fam_splitup14=0.if (cohab_0=2 and cohab_14=2) fam_splitup14=0.if (cohab_0=1 and cohab_14=2) fam_splitup14=1.if (cohab_0=2 and cohab_14=1) fam_splitup14=0.EXECUTE., -NFBC1966,core,,,,LifeCycle_CDM,core,pets_0,partial,final,"How many cows, pigs, sheeps, hens and minks and like are in the household? 0= none and 9) not known. Categorizations concerning the numbers concerning the animals differed . All the variables were firstly coded as 1) yes and 0) no. Not know were coded as missing.","COMPUTE pets_0 =SUM(C6600Q_F12v035, C6600Q_F12v036, C6600Q_F12v037, C6600Q_F12v038. C6600Q_F12v039). -EXECUTE. RECODE pets_0 (0=0) (1 thru 100=1) INTO pets_0. EXECUTE.", -testCohort1,test dataset for testCohort1,var10,,,testNetwork1_CDM,cdm_1,testVarRepeats_10,complete,,some description,some syntax, -NFBC1966,core,,,,LifeCycle_CDM,core,con_anomalies,complete,final,"Did child has something clear congenital malformation? 1) no 2) clubfoot 3) hipluxation 4) other limb anomaly 5) teratoma 6) hydrocephalus 7) mouth or harelip 8) congenital heart failure, 9) other anomaly 0) multianomalia",RECODE C6600_F8V048 (0=1) (1=0) (2 thru 9=1) INTO con_anomalies. EXECUTE., -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM_CDM,PERSONS,quality,complete,,‘reliable’,, -NFBC1966,core,,,,LifeCycle_CDM,core,preg_ht,partial,final,"New classification of hypertension during pregnancy: 1) gestational hypertension (BP 145/95 mmHg or more after 20th gestational week. Normal BP in the early pregnancy i.e. (<20th gestational week). No proteinuria. 2) pre-eclampsia ( BP 145/95 mmHg or more after 20th gestational week. Normal BP in the early pregnancy i.e. (<20th gestational week). Proteinuria at least in one sample during pregnancy). 3) Chronic hypertension a. BP elevated already in early pregnancy ((<20th gestational week), 145/95 mmHg or more, and BP elevated also during whole pregnancy or after pregnancy (6weeks after pregnancy)) b. Chronic hypertension (hypertension essentialis) diagnose registered in questionnaire) 4.) Superimposed pre-eclampsia (chronic hypertension+protenuria, 5) Could not be determinated (all BP values not available 6) not known, 7) Systolic BP elevated Systolic BP >145 and diastolic BP < 95. Includes also women with proteinuria. 8.) Normotensive- BP under 145/95 and is not included in any of the above mentioned groups.9.) DiastolicBP elevated (Diastolic BP >95 and systolic BP < 145, Includes also women with proteinuria). In the 1960's , BP was recorded by rounding up or down to the nearest 5mmHg, thus values >=145/95 represent hypertension.",RECODE C6600_UURRHYLK (1=1) (8=0) INTO preg_ht.EXECUTE., -NFBC1966,core,,,,LifeCycle_CDM,core,prepreg_cig,partial,final,"If "" yes, "" how many cigarettes/ pipefuls a day? Variable was coded 0= did not smoke, 1= 1-5 cigarettes, 2=6-10 cigarettes, 3=11-15 cigarettes, 4=16-20 cigarettes, 5=≥21 cigarettes, 6=1-3 pipes, 7=4-8 pipes, 8=≥9 pipes, 9= not known",RECODE C6600Q_F12v053 (0=0) (6=1) (7=2) (8=2) (3=2) (4=2) (5=2) (9=SYSMIS) (1 thru 2=1) INTO prereg_cig.EXECUTE, -NFBC1966,core,,,,LifeCycle_CDM,core,preg_smk,partial,final,"Did the mother change her smoking habits during this pregnancy? 0=mother did not smoke, 1= did not change, 2=quit,3=reduced, 4=increased, 5=no information how changed, but changed anyway, 9=not known",RECODE C6600Q_F12v054 (0=0) (9=SYSMIS) (1=1) (3=1) (4=1) (5=1) (2=1) INTO preg_smk.EXECUTE, -NFBC1966,core,,,,LifeCycle_CDM,core,preg_cig,partial,final,"Number of cigarettes and pipes after the change. 00=mother did not smoke, 99=not known.",RECODE C6600Q_F12v056 (0=0) (99=SYSMIS) (1 thru 9=1) (10 thru 40=2) INTO preg_cig.EXECUTE, -NFBC1966,core,,,,LifeCycle_CDM,core,height_0,complete,final,,IF ( C66_age_years >= 0 & C66_age_years< 1/12) height_0=C66_height., -NFBC1966,wave_01,"C6646Q2_5_82_1,C6646Q2_5_82_2,C6646Q2_5_82_3,C6646Q2_5_82_4,C6646Q2_5_82_5,C6646Q2_5_82_6,C6646Q2_5_82_7,C6646Q2_5_83_1,C6646Q2_5_83_2,C6646Q2_5_83_3,C6646Q2_5_83_4,C6646Q2_5_83_5,C6646Q2_5_83_6,C6646Q2_5_83_7,C6646Q2_5_84_1,C6646Q2_5_84_2,C6646Q2_5_84_3,C6646Q2_5_84_4,C6646Q2_5_84_5,C6646Q2_5_84_6,C6646Q2_5_84_7,C6646Q2_5_85_1,C6646Q2_5_85_2,C6646Q2_5_85_3,C6646Q2_5_85_4,C6646Q2_5_85_5,C6646Q2_5_85_6,C6646Q2_5_85_7,C6646Q2_5_86_1,C6646Q2_5_86_2,C6646Q2_5_86_3,C6646Q2_5_86_4,C6646Q2_5_86_5,C6646Q2_5_86_6,C6646Q2_5_86_7,C6646Q2_5_87_1,C6646Q2_5_87_2,C6646Q2_5_87_3,C6646Q2_5_87_4,C6646Q2_5_87_5,C6646Q2_5_87_6,C6646Q2_5_87_7,C6646Q2_5_88_1,C6646Q2_5_88_2,C6646Q2_5_88_3,C6646Q2_5_88_4,C6646Q2_5_88_5,C6646Q2_5_88_6,C6646Q2_5_88_7,C6646Q2_5_89_1,C6646Q2_5_89_2,C6646Q2_5_89_3,C6646Q2_5_89_4,C6646Q2_5_89_5,C6646Q2_5_89_6,C6646Q2_5_89_7,C6646Q2_5_90_1,C6646Q2_5_90_2,C6646Q2_5_90_3,C6646Q2_5_90_4,C6646Q2_5_90_5,C6646Q2_5_90_6,C6646Q2_5_90_7,C6646Q2_5_91_1,C6646Q2_5_91_2,C6646Q2_5_91_3,C6646Q2_5_91_4,C6646Q2_5_91_5,C6646Q2_5_91_6,C6646Q2_5_91_7,C6646Q2_5_92_1,C6646Q2_5_92_2,C6646Q2_5_92_3,C6646Q2_5_92_4,C6646Q2_5_92_5,C6646Q2_5_92_6,C6646Q2_5_92_7,C6646Q2_5_93_1,C6646Q2_5_93_2,C6646Q2_5_93_3,C6646Q2_5_93_4,C6646Q2_5_93_5,C6646Q2_5_93_6,C6646Q2_5_93_7,C6646Q2_5_94_1,C6646Q2_5_94_2,C6646Q2_5_94_3,C6646Q2_5_94_4,C6646Q2_5_94_5,C6646Q2_5_94_6,C6646Q2_5_94_7,C6646Q2_5_95_1,C6646Q2_5_95_2,C6646Q2_5_95_3,C6646Q2_5_95_4,C6646Q2_5_95_5,C6646Q2_5_95_6,C6646Q2_5_95_7,C6646Q2_5_96_1,C6646Q2_5_96_2,C6646Q2_5_96_3,C6646Q2_5_96_4,C6646Q2_5_96_5,C6646Q2_5_96_6,C6646Q2_5_96_7,C6646Q2_5_97_1,C6646Q2_5_97_2,C6646Q2_5_97_3,C6646Q2_5_97_4,C6646Q2_5_97_5,C6646Q2_5_97_6,C6646Q2_5_97_7,C6646Q2_5_98_1,C6646Q2_5_98_2,C6646Q2_5_98_3,C6646Q2_5_98_4,C6646Q2_5_98_5,C6646Q2_5_98_6,C6646Q2_5_98_7,C6646Q2_5_99_1,C6646Q2_5_99_2,C6646Q2_5_99_3,C6646Q2_5_99_4,C6646Q2_5_99_5,C6646Q2_5_99_6,C6646Q2_5_99_7,C6646Q2_5_00_1,C6646Q2_5_00_2,C6646Q2_5_00_3,C6646Q2_5_00_4,C6646Q2_5_00_5,C6646Q2_5_00_6,C6646Q2_5_00_7,C6646Q2_5_01_1,C6646Q2_5_01_2,C6646Q2_5_01_3,C6646Q2_5_01_4,C6646Q2_5_01_5,C6646Q2_5_01_6,C6646Q2_5_01_7,C6646Q2_5_02_1,C6646Q2_5_02_2,C6646Q2_5_02_3,C6646Q2_5_02_4,C6646Q2_5_02_5,C6646Q2_5_02_6,C6646Q2_5_02_7,C6646Q2_5_03_1,C6646Q2_5_03_2,C6646Q2_5_03_3,C6646Q2_5_03_4,C6646Q2_5_03_5,C6646Q2_5_03_6,C6646Q2_5_03_7,C6646Q2_5_04_1,C6646Q2_5_04_2,C6646Q2_5_04_3,C6646Q2_5_04_4,C6646Q2_5_04_5,C6646Q2_5_04_6,C6646Q2_5_04_7,C6646Q2_5_05_1,C6646Q2_5_05_2,C6646Q2_5_05_3,C6646Q2_5_05_4,C6646Q2_5_05_5,C6646Q2_5_05_6,C6646Q2_5_05_7,C6646Q2_5_06_1,C6646Q2_5_06_2,C6646Q2_5_06_3,C6646Q2_5_06_4,C6646Q2_5_06_5,C6646Q2_5_06_6,C6646Q2_5_06_7,C6646Q2_5_07_1,C6646Q2_5_07_2,C6646Q2_5_07_3,C6646Q2_5_07_4,C6646Q2_5_07_5,C6646Q2_5_07_6,C6646Q2_5_07_7,C6646Q2_5_08_1,C6646Q2_5_08_2,C6646Q2_5_08_3,C6646Q2_5_08_4,C6646Q2_5_08_5,C6646Q2_5_08_6,C6646Q2_5_08_7,C6646Q2_5_09_1,C6646Q2_5_09_2,C6646Q2_5_09_3,C6646Q2_5_09_4,C6646Q2_5_09_5,C6646Q2_5_09_6,C6646Q2_5_09_7,C6646Q2_5_10_1,C6646Q2_5_10_2,C6646Q2_5_10_3,C6646Q2_5_10_4,C6646Q2_5_10_5,C6646Q2_5_10_6,C6646Q2_5_10_7,C6646Q2_5_11_1,C6646Q2_5_11_2,C6646Q2_5_11_3,C6646Q2_5_11_4,C6646Q2_5_11_5,C6646Q2_5_11_6,C6646Q2_5_11_7,ZP15,C6646Q2_1_1,C6646Q2_1_2,C6646Q2_1_3,C6646Q2_1_4,C6646Q2_1_5,C6646Q2_1_6,C6646Q2_1_7,C6646Q2_1_8,C6646Q2_1_9,C6646Q2_1_10,C6646Q2_1_11,C6646Q2_1_12,C6646Q2_1_13,C6646Q2_1_14,C6646Q2_1_15,C6646Q2_1_16,C6646Q2_1_17",,,LongITools_CDM,wave_01,occup,complete,final,,"# occupational status 1982-2011 asked in the 46yr questionnaire -which(colnames(sour)==""C6646Q2_5_82_1"") # 84 -which(colnames(sour)==""C6646Q2_5_11_7"") # 293 -varnames <- names(sour[,84:293]) -varnames <- substr(varnames,1,12) -varnames <- unique(varnames) - -for(i in varnames) { - year <- gsub(""C6646Q2_5_"", """", i) - year <- 1900 + as.numeric(year) - if (year < 1982) { - year <- gsub(""C6646Q2_5_"", """", i) - year <- gsub(""_.*"", """", year) - year <- 2000 + as.numeric(year) - } - var_name <- paste0(""occup"", year-1966) - sour[var_name] <- NA - orig_var1 <- paste0(i,""_"",1) - sour[var_name][sour[paste0(i,""_"",7)] == 7] <- 6 - sour[var_name][sour[paste0(i,""_"",6)] == 6] <- 5 - sour[var_name][sour[paste0(i,""_"",1)] == 1] <- 4 - sour[var_name][sour[paste0(i,""_"",5)] == 5] <- 3 - sour[var_name][sour[paste0(i,""_"",4)] == 4] <- 2 - sour[var_name][sour[paste0(i,""_"",2)] == 2] <- 1 - sour[var_name][sour[paste0(i,""_"",3)] == 3] <- 1 -} - -# occupational status in 31yr questioinnaire -sour$occup31[sour$ZP15 == 1 | sour$ZP15 == 2 | sour$ZP15 == 3] <- 1 -sour$occup31[sour$ZP15 == 4 | sour$ZP15 == 5] <- 2 -sour$occup31[sour$ZP15 == 7 | sour$ZP15 == 9 | sour$ZP15 == 12] <- 3 -sour$occup31[sour$ZP15 == 6 | sour$ZP15 == 8] <- 4 -sour$occup31[sour$ZP15 == 10] <- 5 -sour$occup31[sour$ZP15 == 11] <- 6 - -# occupational status in 46yr questioinnaire -sour[""occup46""] <- NA -sour$occup46[sour$C6646Q2_1_15 == 15] <- 6 -sour$occup46[sour$C6646Q2_1_14 == 14 | sour$C6646Q2_1_16 == 16] <- 5 -sour$occup46[sour$C6646Q2_1_7 == 7 | sour$C6646Q2_1_8 == 8 | sour$C6646Q2_1_12 == 12] <- 4 -sour$occup46[sour$C6646Q2_1_9 == 9 | sour$C6646Q2_1_10 == 10 | sour$C6646Q2_1_11 == 11 | sour$C6646Q2_1_13 == 13] <- 3 -sour$occup46[sour$C6646Q2_1_5 == 5 | sour$C6646Q2_1_6 == 6] <- 2 -sour$occup46[sour$C6646Q2_1_1 == 1 | sour$C6646Q2_1_2 == 2 | sour$C6646Q2_1_3 == 3 | sour$C6646Q2_1_4 == 4] <- 1 - -# make the add_new function -add_new <- function(sour_data, sour_var, new_var, age, method) { - add <- sour_data[, c(""project_ID"", sour_var)] - add[""variable""] <- new_var - add[""measure""] <- add[,sour_var] - if(is.na(age)) { - add[""age""] <- NA - } else if(is.numeric(age)) { - add[""age""] <- age - } else { - add[""age""] <- sour_data[,age] - } - if(is.na(method)) { - add[""method""] <- NA - } else { - add[""method""] <- sour_data[,method] - } - add <- add[,c(""project_ID"", ""variable"", ""measure"", ""age"", ""method"")] - names(add) <- c(""id"", ""variable"", ""measure"", ""age"", ""method"") - add <- add[!is.na(add$measure),] -} - -# add new variables to harmonised variables table -add16 <- add_new(sour, ""occup16"", ""occup"", 16, NA) -add17 <- add_new(sour, ""occup17"", ""occup"", 17, NA) -add18 <- add_new(sour, ""occup18"", ""occup"", 18, NA) -add19 <- add_new(sour, ""occup19"", ""occup"", 19, NA) -add20 <- add_new(sour, ""occup20"", ""occup"", 20, NA) -add21 <- add_new(sour, ""occup21"", ""occup"", 21, NA) -add22 <- add_new(sour, ""occup22"", ""occup"", 22, NA) -add23 <- add_new(sour, ""occup23"", ""occup"", 23, NA) -add24 <- add_new(sour, ""occup24"", ""occup"", 24, NA) -add25 <- add_new(sour, ""occup25"", ""occup"", 25, NA) -add26 <- add_new(sour, ""occup26"", ""occup"", 26, NA) -add27 <- add_new(sour, ""occup27"", ""occup"", 27, NA) -add28 <- add_new(sour, ""occup28"", ""occup"", 28, NA) -add29 <- add_new(sour, ""occup29"", ""occup"", 29, NA) -add30 <- add_new(sour, ""occup30"", ""occup"", 30, NA) -add31 <- add_new(sour, ""occup31"", ""occup"", ""age31"", NA) -add32 <- add_new(sour, ""occup32"", ""occup"", 32, NA) -add33 <- add_new(sour, ""occup33"", ""occup"", 33, NA) -add34 <- add_new(sour, ""occup34"", ""occup"", 34, NA) -add35 <- add_new(sour, ""occup35"", ""occup"", 35, NA) -add36 <- add_new(sour, ""occup36"", ""occup"", 36, NA) -add37 <- add_new(sour, ""occup37"", ""occup"", 37, NA) -add38 <- add_new(sour, ""occup38"", ""occup"", 38, NA) -add39 <- add_new(sour, ""occup39"", ""occup"", 39, NA) -add40 <- add_new(sour, ""occup40"", ""occup"", 40, NA) -add41 <- add_new(sour, ""occup41"", ""occup"", 41, NA) -add42 <- add_new(sour, ""occup42"", ""occup"", 42, NA) -add43 <- add_new(sour, ""occup43"", ""occup"", 43, NA) -add44 <- add_new(sour, ""occup44"", ""occup"", 44, NA) -add45 <- add_new(sour, ""occup45"", ""occup"", 45, NA) -add46 <- add_new(sour, ""occup46"", ""occup"", ""age46"", NA) - -harm <- rbind(harm, add16, add17, add18, add19, add20, - add21, add22, add23, add24, add25, add26, - add27, add28, add29, add30, add31, add32, - add33, add34, add35, add36, add37, add38, - add39, add40, add41, add42, add43, add44, - add45, add46)", -testCohort1,test dataset for testCohort1,var11,,,testNetwork1_CDM,cdm_1,testVarNoRepeats,complete,,some description,some syntax, -testCohort2,test dataset for testCohort2,var1,,,testNetwork1_CDM,cdm_1,testVarRepeats_1,na,,some description,, -NFBC1966,wave_01,"ZP0401,C6646Q1_2,C6646Q1_2_4,C6646Q1_2_5,C6646Q1_2_4_1,C6646Q1_2_5_1",,,LongITools_CDM,wave_01,famsize_adult_own,complete,final,,"# number of adults in the household at 31yr - -sour[""famsize_adult_own31""] <- sour$ZP0401 - -# add new variable -add_new <- function(sour_data, sour_var, new_var, age, method) { - add <- sour_data[, c(""project_ID"", sour_var)] - add[""variable""] <- new_var - add[""measure""] <- add[,sour_var] - if(is.na(age)) { - add[""age""] <- NA - } else if(is.numeric(age)) { - add[""age""] <- age - } else { - add[""age""] <- sour_data[,age] - } - if(is.na(method)) { - add[""method""] <- NA - } else { - add[""method""] <- sour_data[,method] - } - add <- add[,c(""project_ID"", ""variable"", ""measure"", ""age"", ""method"")] - names(add) <- c(""id"", ""variable"", ""measure"", ""age"", ""method"") - add <- add[!is.na(add$measure),] -} - -add <- add_new(sour, ""famsize_adult_own31"", ""famsize_adult_own"", ""age31"", NA) -harm <- rbind(harm, add) - -# number of adults in the household at 46yr - -sour[""famsize_adult_own46""] <- sour$C6646Q1_2_5_1 -sour$famsize_adult_own46[is.na(sour$famsize_adult_own46)] <- 0 -sour$famsize_adult_own46 <- sour$famsize_adult_own46 + sour$C6646Q1_2_4_1 + 1 -sour$famsize_adult_own46[(sour$C6646Q1_2_4 == 1 & sour$C6646Q1_2_5 == 1) | sour$C6646Q1_2 == 1] <- 1 - -add <- add_new(sour, ""famsize_adult_own46"", ""famsize_adult_own"", ""age46"", NA) -harm <- rbind(harm, add)", -NFBC1966,core,,,,LifeCycle_CDM,core,mode_delivery,partial,final,"1) In the delivery no operations, 2) caesarian, 3) forecaps, vacuum, 4) helping in breech birth",RECODE C6600_F8V043 (1=1) (3=2) (2=3) (4=4) INTO mode_delivery. EXECUTE., -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,OOM_CDM,OBSERVATION_PERIODS,op_start_date,complete,,"If INI_RECORD> DATA_NASCITA+60, INI_RECORD; -otherwise, DATA_NASCITA",,Children are normally registered during first pediatric visit -testCohort2,test dataset for testCohort2,var2,,,testNetwork1_CDM,cdm_1,testVarRepeats_2,na,,some description,, -testCohort2,test dataset for testCohort2,var3,,,testNetwork1_CDM,cdm_1,testVarRepeats_3,na,,some description,, -testCohort2,test dataset for testCohort2,var4,,,testNetwork1_CDM,cdm_1,testVarRepeats_4,na,,some description,, -testCohort2,test dataset for testCohort2,var5,,,testNetwork1_CDM,cdm_1,testVarRepeats_5,na,,some description,, -testCohort2,test dataset for testCohort2,var6,,,testNetwork1_CDM,cdm_1,testVarRepeats_6,na,,some description,, -testCohort2,test dataset for testCohort2,var7,,,testNetwork1_CDM,cdm_1,testVarRepeats_7,na,,some description,, -testCohort2,test dataset for testCohort2,var8,,,testNetwork1_CDM,cdm_1,testVarRepeats_8,na,,some description,, -testCohort2,test dataset for testCohort2,var9,,,testNetwork1_CDM,cdm_1,testVarRepeats_9,na,,some description,, -testCohort2,test dataset for testCohort2,var10,,,testNetwork1_CDM,cdm_1,testVarRepeats_10,na,,some description,, -testCohort2,test dataset for testCohort2,var11,,,testNetwork1_CDM,cdm_1,testVarNoRepeats,na,,some description,, -testCohort3,test dataset for testCohort3,var1,,,testNetwork1_CDM,cdm_1,testVarRepeats_1,complete,,some description,some syntax, -testCohort3,test dataset for testCohort3,var2,,,testNetwork1_CDM,cdm_1,testVarRepeats_2,complete,,some description,some syntax, -testCohort3,test dataset for testCohort3,var3,,,testNetwork1_CDM,cdm_1,testVarRepeats_3,na,,some description,, -testCohort3,test dataset for testCohort3,var4,,,testNetwork1_CDM,cdm_1,testVarRepeats_4,partial,,some description,some syntax, -testCohort3,test dataset for testCohort3,var5,,,testNetwork1_CDM,cdm_1,testVarRepeats_5,complete,,some description,some syntax, -testCohort3,test dataset for testCohort3,var6,,,testNetwork1_CDM,cdm_1,testVarRepeats_6,complete,,some description,some syntax, -testCohort3,test dataset for testCohort3,var7,,,testNetwork1_CDM,cdm_1,testVarRepeats_7,complete,,some description,some syntax, -testCohort3,test dataset for testCohort3,var8,,,testNetwork1_CDM,cdm_1,testVarRepeats_8,partial,,some description,some syntax, -testCohort3,test dataset for testCohort3,var9,,,testNetwork1_CDM,cdm_1,testVarRepeats_9,partial,,some description,some syntax, -testCohort3,test dataset for testCohort3,var10,,,testNetwork1_CDM,cdm_1,testVarRepeats_10,na,,some description,, -testCohort3,test dataset for testCohort3,var11,,,testNetwork1_CDM,cdm_1,testVarNoRepeats,partial,,some description,some syntax, -testCohort4,test dataset for testCohort4,var1,,,testNetwork1_CDM,cdm_1,testVarRepeats_1,complete,,some description,some syntax, -testCohort4,test dataset for testCohort4,var2,,,testNetwork1_CDM,cdm_1,testVarRepeats_2,partial,,some description,some syntax, -testCohort4,test dataset for testCohort4,var3,,,testNetwork1_CDM,cdm_1,testVarRepeats_3,partial,,some description,some syntax, -testCohort4,test dataset for testCohort4,var4,,,testNetwork1_CDM,cdm_1,testVarRepeats_4,partial,,some description,some syntax, -testCohort4,test dataset for testCohort4,var5,,,testNetwork1_CDM,cdm_1,testVarRepeats_5,partial,,some description,some syntax, -testCohort4,test dataset for testCohort4,var6,,,testNetwork1_CDM,cdm_1,testVarRepeats_6,complete,,some description,some syntax, -testCohort4,test dataset for testCohort4,var7,,,testNetwork1_CDM,cdm_1,testVarRepeats_7,partial,,some description,some syntax, -testCohort4,test dataset for testCohort4,var8,,,testNetwork1_CDM,cdm_1,testVarRepeats_8,complete,,some description,some syntax, -testCohort4,test dataset for testCohort4,var9,,,testNetwork1_CDM,cdm_1,testVarRepeats_9,partial,,some description,some syntax, -testCohort4,test dataset for testCohort4,var10,,,testNetwork1_CDM,cdm_1,testVarRepeats_10,na,,some description,, -testCohort4,test dataset for testCohort4,var11,,,testNetwork1_CDM,cdm_1,testVarNoRepeats,partial,,some description,some syntax, -testCohort2,test dataset for testCohort2,var2,,,LifeCycle_CDM,core,ga_lmp,complete,final,In original variable was reported in weeks and was recalculated for days,COMPUTE ga_lmp= C6600Q_F12v095 * 7 + 3.5., \ No newline at end of file diff --git a/data/_demodata/applications/datacatalogue/Variable values.csv b/data/_demodata/applications/datacatalogue/Variable values.csv index 481f7349b7..7f5fc688c1 100644 --- a/data/_demodata/applications/datacatalogue/Variable values.csv +++ b/data/_demodata/applications/datacatalogue/Variable values.csv @@ -1,26 +1,26 @@ -resource,variable.dataset,variable.name,value,label,order,is missing,ontology term URI,since version,until version -ATHLETE_CDM,outcome_ath,rmcmes_0,1,Manual,1,false,,1.0.1, -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_0,0,No,2,false,,1.0.1, -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_0,1,Yes,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_0,1,Yes,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,rhinitis_0,0,No,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,rmcmes_0,2,Semi-automatic,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,mets_idefics_0,0,Non-MetS,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,mets_idefics_0,1,Mets,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,rhinitis_0,1,Yes,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,rhinitis_ttt_12m_0,0,No,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,rhinitis_ttt_12m_0,1,Yes,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,n_wheezing_12m_0,0,None,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,n_wheezing_12m_0,1,1 to 3,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,n_wheezing_12m_0,2,4 to 12,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,n_wheezing_12m_0,3,more than 12,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,anR_10,1,Yes,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,bnR_10,0,No,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,bnR_10,1,Yes,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,bedR_10,0,No,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,bedR_10,1,Yes,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,edR_eval_10,1,Medical registries or medical records linkage,,false,,1.0.1, -ATHLETE_CDM,outcome_ath,edR_eval_10,2,Parentally reported,,false,,1.0.1, -testNetwork1_CDM,cdm_1,testVarCategorical_,1,No,,false,,, -testNetwork1_CDM,cdm_1,testVarCategorical_,2,Yes,,false,,, -testNetwork1_CDM,cdm_1,testVarCategorical_,0,not available,,true,,, +collection,variable.dataset,variable.name,value,label,order,is missing,ontology term URI,since version,until version +ATHLETE,outcome_ath,rmcmes_,1,Manual,1,False,,1.0.1, +ATHLETE,outcome_ath,rhinitis_sx_ever_,0,No,2,False,,1.0.1, +ATHLETE,outcome_ath,rhinitis_sx_ever_,1,Yes,,False,,1.0.1, +ATHLETE,outcome_ath,rhinitis_sx_12m_,1,Yes,,False,,1.0.1, +ATHLETE,outcome_ath,rhinitis_,0,No,,False,,1.0.1, +ATHLETE,outcome_ath,rmcmes_,2,Semi-automatic,,False,,1.0.1, +ATHLETE,outcome_ath,mets_idefics_,0,Non-MetS,,False,,1.0.1, +ATHLETE,outcome_ath,mets_idefics_,1,Mets,,False,,1.0.1, +ATHLETE,outcome_ath,rhinitis_,1,Yes,,False,,1.0.1, +ATHLETE,outcome_ath,rhinitis_ttt_12m_,0,No,,False,,1.0.1, +ATHLETE,outcome_ath,rhinitis_ttt_12m_,1,Yes,,False,,1.0.1, +ATHLETE,outcome_ath,n_wheezing_12m_,0,None,,False,,1.0.1, +ATHLETE,outcome_ath,n_wheezing_12m_,1,1 to 3,,False,,1.0.1, +ATHLETE,outcome_ath,n_wheezing_12m_,2,4 to 12,,False,,1.0.1, +ATHLETE,outcome_ath,n_wheezing_12m_,3,more than 12,,False,,1.0.1, +ATHLETE,outcome_ath,anR_,1,Yes,,False,,1.0.1, +ATHLETE,outcome_ath,bnR_,0,No,,False,,1.0.1, +ATHLETE,outcome_ath,bnR_,1,Yes,,False,,1.0.1, +ATHLETE,outcome_ath,bedR_,0,No,,False,,1.0.1, +ATHLETE,outcome_ath,bedR_,1,Yes,,False,,1.0.1, +ATHLETE,outcome_ath,edR_eval_,1,Medical registries or medical records linkage,,False,,1.0.1, +ATHLETE,outcome_ath,edR_eval_,2,Parentally reported,,False,,1.0.1, +testNetwork1,cdm_1,testVarCategorical_,1,No,,False,,, +testNetwork1,cdm_1,testVarCategorical_,2,Yes,,False,,, +testNetwork1,cdm_1,testVarCategorical_,0,not available,,True,,, diff --git a/data/_demodata/applications/datacatalogue/Variables.csv b/data/_demodata/applications/datacatalogue/Variables.csv index 69039eb79a..3c7c9e45a9 100644 --- a/data/_demodata/applications/datacatalogue/Variables.csv +++ b/data/_demodata/applications/datacatalogue/Variables.csv @@ -1,232 +1,189 @@ -resource,dataset,name,label,collection event.resource,collection event.name,since version,until version,format,unit,references.dataset,references.name,mandatory,description,order,example values,keywords,vocabularies,notes -PELAGIE,harmonized,lan_instr_5,,,,1.0.0,,categorical,,,,,,,,,, -OOM_CDM,EUROCAT,genrem,,,,2.2,,,,,,false,General additional comments.,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,gentest,,,,2.2,,,,,,false,"GENETIC TEST -For syndromes and single gene disorders, a genetic test may have confirmed the clinical diagnosis either prenatally or postnatally. Please complete for these cases. Karyotype should still be completed as per variables 24 & 25 - -Whilst GENETIC TEST is a new variable in Guide 1.4 (for cases born from 2013 onwards) if any registry has this information for previous cases, EUROCAT is interested in collecting this information from 2005 onwards - -If the test is performed but the result not yet known, please wait for the result before reporting",,"1 = specific genetic test positive -2 = specific genetic test negative -3 = Specific genetic test not Performed -9 = Not Known if genetic test is performed or result not known,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EUROCAT,hba1c,,,,2.2,,,,,,false,"GLYCATED HAEMOGLOBIN (HbA1c) VALUE -Give the first HbA1c value measured in the first trimester (in mmol/mol units) -Normal values for non-diabetic individuals <48mmol/mol",,"Table reference: EUROCAT/EUROmediCAT. 999 = Not known -3 digits",,, -MBRN,MBRN,SPINAB,Spina bifida,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,KJONN,Child’s gender,,,1.0,,,,,,,,,,,,"0 = Not specified - 1 = Male - 2 = Female - 3 = Uncertain - 9 = Missing" -PHT,PHT,DOCE,Dose,,,1.0,,,,,,,,,,,, -OOM_CDM,EUROCAT,person_id_mother,,,,2.2,,,,,,false,"If the datasource contains other tables beyond EUROCAT, indicate here the identifier of the mother that is used in the other tables",,"Table reference: EUROCAT/EUROmediCAT. If the datasource contains other tables beyond EUROCAT,the proportion of rows that have a valid value in this field is a quality indicator",,, -GenR,core,p07_01_05,HORSE,,,1.0.0,,continuous,gram_per_day,,,,Intake of horse,,,,, -DHL,CPA1,aborti,Number of spontaneous abortions prior to delivery.,,,1.0,,,,,,,,,,,,"If the field concep= ""2"", only allowed value ""0"". ""99"" = not detected." -DHL,CPA1,accr_fet,Fetal growth defect,,,1.0,,,,,,,By fetal growth defect we mean the slowed intrauterine growth (values ​​below the 10th percentile) diagnosed in the pre-natal phase.,,,,,"""1"" = slowing down intrauterine growth - ""2"" = no slowing down intrauterine growth - ""9"" = not detected or incorrect" -DHL,CPA1,altezza,Height of new mother in cm.,,,1.0,,,,,,,,,,,,"""999"" = not detected or incorrect" -DHL,CPA1,amnio,Amniocentesis,,,1.0,,,,,,,,,,,,"""1"" = yes, ""2"" = no,""9""= not detected or incorrect" -DHL,CPA1,anon_m,New mother covered by anonymity,,,1.0,,,,,,,,,,,,"""0"" = no, new mother not covered by anonymity - ""1"" = yes, new mother covered by anonymity - ""9"" = not detected or incorrect" -DHL,CPA2,apgar,"Apgar Score, - attributed to the newborn after 5 minutes according to the Apgar method.",,,1.0,,,,,,,,,,,,"If the newborn is born alive (vitality) = ""1"", it admits values ​​from ""1"" to ""10"". If the newborn is born dead (vitality) = ""2"", it admits only value ""0"". - 99 = not detected or incorrect" -DHL,CPA2,cariotipo,Karyotype,,,1.0,,,,,,,,,,,,"It is completed only in the presence of malformations (malfor) = ""1"" and if the karyotype is performed before birth. - The cytogenetic diagnosis carried out in order to identify chromosomal, numerical and structural anomalies is specified in full." -DHL,CPA2,circ_cra,Head circumference,,,1.0,,,,,,,,,,,,Head circumference in centimeters. -DHL,CPA2,circost,other relevant circumstance,,,1.0,,,,,,,,,,,,"Field filled only in case of born dead (vitality field = 2). It contains any other condition which, in the opinion of the doctor, although not included in the previous items, is relevant for the purposes of death. Coded with codes ICD9CM" -DHL,CPA2,d_cicost,Description of other relevant circumstance,,,1.0,,,,,,,,,,,,"Field filled only in the case of stillbirth (vitality = ""2""). - Clear description of the relevant circumstance." -DHL,CPA2,d_mal_1m,Description of the mother main disease affecting fetus,,,1.0,,,,,,,,,,,,"Field filled only in the case of stillbirth (vitality = ""2""). - Description of the main disease of the mother." -LifeCycle_CDM,core,GA_anx_t1,Gestational age in days at first trimester anxiety measure,,,1.0.0,,integer,numeric,,,,,,,Psychological distress and emotions,, -LifeCycle_CDM,core,SAI_score_t1,SAI score first trimester,,,1.0.0,,integer,numeric,,,,,,,Psychological distress and emotions,, -LifeCycle_CDM,core,SCL_anx_score_t1,SCL anxiety score first trimester,,,1.0.0,,integer,numeric,,,,,,,Psychological distress and emotions,, -LifeCycle_CDM,core,SCL_dep_score_t1,SCL depression score first trimester,,,1.0.0,,integer,numeric,,,,,,,Psychological distress and emotions,, -LifeCycle_CDM,core,SCL_total_score_t1,SCL score first trimester,,,1.0.0,,integer,numeric,,,,,,,Psychological distress and emotions,, -LifeCycle_CDM,core,abroad_child,Child's born abroad,,,1.0.0,,binary,,,,,Whether child cohort member was born abroad,,,Child's country of birth,, -LifeCycle_CDM,core,abroad_fa,Father's born abroad,,,1.0.0,,binary,,,,,Whether child's father was born abroad,,,Paternal country of birth,, -LifeCycle_CDM,core,abroad_mo,Mother's born abroad,,,1.0.0,,binary,,,,,Whether child's mother was born abroad,,,Maternal country of birth,, -LifeCycle_CDM,core,agebirth_m_d,Mother's age at delivery in days,,,1.0.0,,integer,day,,,,,,,Maternal age at birth,, -LifeCycle_CDM,core,agebirth_m_y,Mother's age at delivery in complete years.,,,1.0.0,,integer,year,,,,,,,Maternal age at birth,, -LifeCycle_CDM,core,agebirth_p_d,Father's age at birth in days,,,1.0.0,,integer,day,,,,,,,Paternal age at birth,, -LifeCycle_CDM,core,agebirth_p_fath,"Type of father, father's age at birth",,,1.0.0,,categorical,,,,,"Variable indicating whether the age recorded in variables agebirth_p_y and agebirth_p_d is for the biological father, the social father/mother or whether this is unknown",,,Paternal age at birth,, -LifeCycle_CDM,core,agebirth_p_y,Father's age at birth in complete years,,,1.0.0,,integer,year,,,,,,,Paternal age at birth,, -LifeCycle_CDM,core,agrgr_0,"percentage of agrgr (agricultural areas, semi-natural areas and wetlands) land use within a buffer of 300 m at birth",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_agricultural,, -LifeCycle_CDM,core,agrgr_preg,"percentage of agrgr (agricultural areas, semi-natural areas and wetlands) land use within a buffer of 300 m at pregnancy",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_agricultural,, -LifeCycle_CDM,core,agrgr_t1,"percentage of agrgr (agricultural areas, semi-natural areas and wetlands) land use within a buffer of 300 m at first trimester",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_agricultural,, -LifeCycle_CDM,core,airpt_0,percentage of airpt (airports) land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_airports,, -LifeCycle_CDM,core,airpt_preg,percentage of airpt (airports) land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_airports,, -LifeCycle_CDM,core,airpt_t1,percentage of airpt (airports) land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_airports,, -LifeCycle_CDM,core,alc_t1,Any alcohol intake in 1. trimester,,,1.0.0,,binary,,,,,,,,Maternal alcohol intake,, -LifeCycle_CDM,core,an_m_0,Maternal anorexia nervosa active active from ≥0 to 1 year.,,,1.0.0,,binary,,,,,"Maternal anorexia nervosa active active from ≥0 to 1 year: self-reported or registry-based. If both sources of information are available, consider registry-based AN. +collection,dataset,name,label,collection event.resource,collection event,since version,until version,format,unit,references.dataset,references.name,mandatory,description,order,example values,keywords,vocabularies,notes,is_repeated,repeat unit,repeat min,repeat max,is repeat of.dataset,is repeat of.name +LifeCycle,core,GA_anx_t,Gestational age in days at first trimester anxiety measure,,,1.0.0,,integer,numeric,,,,,,,Psychological distress and emotions,,,False,,,,, +LifeCycle,core,SAI_score_t,SAI score first trimester,,,1.0.0,,integer,numeric,,,,,,,Psychological distress and emotions,,,False,,,,, +LifeCycle,core,SCL_anx_score_t,SCL anxiety score first trimester,,,1.0.0,,integer,numeric,,,,,,,Psychological distress and emotions,,,False,,,,, +LifeCycle,core,SCL_dep_score_t,SCL depression score first trimester,,,1.0.0,,integer,numeric,,,,,,,Psychological distress and emotions,,,False,,,,, +LifeCycle,core,SCL_total_score_t,SCL score first trimester,,,1.0.0,,integer,numeric,,,,,,,Psychological distress and emotions,,,False,,,,, +LifeCycle,core,abroad_child,Child's born abroad,,,1.0.0,,binary,,,,,Whether child cohort member was born abroad,,,Child's country of birth,,,False,,,,, +LifeCycle,core,abroad_fa,Father's born abroad,,,1.0.0,,binary,,,,,Whether child's father was born abroad,,,Paternal country of birth,,,False,,,,, +LifeCycle,core,abroad_mo,Mother's born abroad,,,1.0.0,,binary,,,,,Whether child's mother was born abroad,,,Maternal country of birth,,,False,,,,, +LifeCycle,core,agebirth_m_d,Mother's age at delivery in days,,,1.0.0,,integer,day,,,,,,,Maternal age at birth,,,False,,,,, +LifeCycle,core,agebirth_m_y,Mother's age at delivery in complete years.,,,1.0.0,,integer,year,,,,,,,Maternal age at birth,,,False,,,,, +LifeCycle,core,agebirth_p_d,Father's age at birth in days,,,1.0.0,,integer,day,,,,,,,Paternal age at birth,,,False,,,,, +LifeCycle,core,agebirth_p_fath,"Type of father, father's age at birth",,,1.0.0,,categorical,,,,,"Variable indicating whether the age recorded in variables agebirth_p_y and agebirth_p_d is for the biological father, the social father/mother or whether this is unknown",,,Paternal age at birth,,,False,,,,, +LifeCycle,core,agebirth_p_y,Father's age at birth in complete years,,,1.0.0,,integer,year,,,,,,,Paternal age at birth,,,False,,,,, +LifeCycle,core,agrgr_,"percentage of agrgr (agricultural areas, semi-natural areas and wetlands) land use within a buffer of 300 m at birth",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_agricultural,,,False,,,,, +LifeCycle,core,agrgr_preg,"percentage of agrgr (agricultural areas, semi-natural areas and wetlands) land use within a buffer of 300 m at pregnancy",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_agricultural,,,False,,,,, +LifeCycle,core,agrgr_t,"percentage of agrgr (agricultural areas, semi-natural areas and wetlands) land use within a buffer of 300 m at first trimester",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_agricultural,,,False,,,,, +LifeCycle,core,airpt_,percentage of airpt (airports) land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_airports,,,False,,,,, +LifeCycle,core,airpt_preg,percentage of airpt (airports) land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_airports,,,False,,,,, +LifeCycle,core,airpt_t,percentage of airpt (airports) land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_airports,,,False,,,,, +LifeCycle,core,alc_t,Any alcohol intake in 1. trimester,,,1.0.0,,binary,,,,,,,,Maternal alcohol intake,,,True,Trimester,0,3,, +LifeCycle,core,an_m_,Maternal anorexia nervosa active active from ≥0 to 1 year.,,,1.0.0,,binary,,,,,"Maternal anorexia nervosa active active from ≥0 to 1 year: self-reported or registry-based. If both sources of information are available, consider registry-based AN. Partial harmonization includes: - Standardized questionnaires/criteria that refer to the period after pregnancy; - Maternal report of AN active after pregnancy with no specification on whether it is doctor-diagnosed or not. -Please specify how this variable was created, and whether AN was assessed through medical records or self-reported.",,,Anorexia nervosa,, -ATHLETE_CDM,outcome_ath,liver_age_0,Exact age of the child (in years) when liver enzymes were measured etc.,,,,,continuous,years,,,,,,,,, -NFBC1966,core,age_mdg16,age_mdg16,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,core,apgar,5 minute Apgar score,,,1.0.0,,integer,,,,,"10 minute Apgar score can be used if 5 minute Apgar score is not available; this will be partial harmonisation. - -1 minute Apgar score cannot be used in place of 5 minute Apgar score",,,Apgar score,, -LifeCycle_CDM,core,areases_quint_0,area-level SES indicator (deprivation index in quintiles) at birth,,,1.0.0,,categorical,,,,,using different local data for each cohort,,,area_level_ses_quintiles,, -LifeCycle_CDM,core,areases_quint_preg,area-level SES indicator (deprivation index in quintiles) at pregnancy,,,1.0.0,,categorical,,,,,using different local data for each cohort,,,area_level_ses_quintiles,, -LifeCycle_CDM,core,areases_quint_t1,area-level SES indicator (deprivation index in quintiles) at first trimester,,,1.0.0,,categorical,,,,,using different local data for each cohort,,,area_level_ses_quintiles,, -LifeCycle_CDM,core,areases_tert_0,area-level SES indicator (deprivation index in tertiles) at birth,,,1.0.0,,categorical,,,,,using different local data for each cohort,,,area_level_ses_tertiles,, -LifeCycle_CDM,core,areases_tert_preg,area-level SES indicator (deprivation index in tertiles) at pregnancy,,,1.0.0,,categorical,,,,,using different local data for each cohort,,,area_level_ses_tertiles,, -LifeCycle_CDM,core,areases_tert_t1,area-level SES indicator (deprivation index in tertiles) at first trimester,,,1.0.0,,categorical,,,,,using different local data for each cohort,,,area_level_ses_tertiles,, -LifeCycle_CDM,core,art,Assisted reproductive treatment,,,1.0.0,,binary,,,,,"Did the mother become pregnant using ART? - -ART refers to treatments used to assist people in achieving a pregnancy",,,,, -LifeCycle_CDM,core,asthma_adult,Ever diagnosis of asthma in adulthood based on physician diagnosis,,,1.0.0,,binary,,,,,"Where data are available, asthma should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Respiratory (Adult health),, -LifeCycle_CDM,core,asthma_bf,Paternal history of asthma (biological father),,,1.0.0,,binary,,,,,"State in harmonisation description whether the type of father was specified at time of data collection (i.e. whether these data definitely relate to the biological and not the social father) +Please specify how this variable was created, and whether AN was assessed through medical records or self-reported.",,,Anorexia nervosa,,,False,,,,, +ATHLETE,outcome_ath,liver_age_,Exact age of the child (in years) when liver enzymes were measured etc.,,,,,continuous,years,,,,,,,,,,False,,,,, +LifeCycle,core,apgar,5 minute Apgar score,,,1.0.0,,integer,,,,,"10 minute Apgar score can be used if 5 minute Apgar score is not available; this will be partial harmonisation. + +1 minute Apgar score cannot be used in place of 5 minute Apgar score",,,Apgar score,,,False,,,,, +LifeCycle,core,areases_quint_,area-level SES indicator (deprivation index in quintiles) at birth,,,1.0.0,,categorical,,,,,using different local data for each cohort,,,area_level_ses_quintiles,,,False,,,,, +LifeCycle,core,areases_quint_preg,area-level SES indicator (deprivation index in quintiles) at pregnancy,,,1.0.0,,categorical,,,,,using different local data for each cohort,,,area_level_ses_quintiles,,,False,,,,, +LifeCycle,core,areases_quint_t,area-level SES indicator (deprivation index in quintiles) at first trimester,,,1.0.0,,categorical,,,,,using different local data for each cohort,,,area_level_ses_quintiles,,,False,,,,, +LifeCycle,core,areases_tert_,area-level SES indicator (deprivation index in tertiles) at birth,,,1.0.0,,categorical,,,,,using different local data for each cohort,,,area_level_ses_tertiles,,,False,,,,, +LifeCycle,core,areases_tert_preg,area-level SES indicator (deprivation index in tertiles) at pregnancy,,,1.0.0,,categorical,,,,,using different local data for each cohort,,,area_level_ses_tertiles,,,False,,,,, +LifeCycle,core,areases_tert_t,area-level SES indicator (deprivation index in tertiles) at first trimester,,,1.0.0,,categorical,,,,,using different local data for each cohort,,,area_level_ses_tertiles,,,False,,,,, +LifeCycle,core,art,Assisted reproductive treatment,,,1.0.0,,binary,,,,,"Did the mother become pregnant using ART? + +ART refers to treatments used to assist people in achieving a pregnancy",,,,,,False,,,,, +LifeCycle,core,asthma_adult,Ever diagnosis of asthma in adulthood based on physician diagnosis,,,1.0.0,,binary,,,,,"Where data are available, asthma should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Respiratory (Adult health),,,False,,,,, +LifeCycle,core,asthma_bf,Paternal history of asthma (biological father),,,1.0.0,,binary,,,,,"State in harmonisation description whether the type of father was specified at time of data collection (i.e. whether these data definitely relate to the biological and not the social father) Where data are available, asthma should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised. -Fathers who were asked whether their asthma was diagnosed by a doctor but who did not know or were unsure, should be coded as missing.",,,Paternal asthma,, -LifeCycle_CDM,core,asthma_m,Maternal history of asthma before pregnancy,,,1.0.0,,binary,,,,,"Where data are available, asthma should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Maternal asthma,, -LifeCycle_CDM,core,bdens100_0,building density within a buffer of 100 m at birth,,,1.0.0,,continuous,square_meter_per_square_kilometer,,,,using European Settlement Map 2017 except for MOBA (Open Street Maps),,,building_density100,, -LifeCycle_CDM,core,bdens100_preg,building density within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,square_meter_per_square_kilometer,,,,using European Settlement Map 2017 except for MOBA (Open Street Maps),,,building_density100,, -LifeCycle_CDM,core,bdens100_t1,building density within a buffer of 100 m at first trimester,,,1.0.0,,continuous,square_meter_per_square_kilometer,,,,using European Settlement Map 2017 except for MOBA (Open Street Maps),,,building_density100,, -LifeCycle_CDM,core,bdens300_0,building density within a buffer of 300 m at birth,,,1.0.0,,continuous,square_meter_per_square_kilometer,,,,using European Settlement Map 2017 except for MOBA (Open Street Maps),,,building_density300,, -LifeCycle_CDM,core,bdens300_preg,building density within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,square_meter_per_square_kilometer,,,,using European Settlement Map 2017 except for MOBA (Open Street Maps),,,building_density300,, -LifeCycle_CDM,core,bdens300_t1,building density within a buffer of 300 m at first trimester,,,1.0.0,,continuous,square_meter_per_square_kilometer,,,,using European Settlement Map 2017 except for MOBA (Open Street Maps),,,building_density300,, -ATHLETE_CDM,outcome_ath,mets_ idefics_0,Repeated classification of pediatric MetS based on the IDEFICS definition (pediatric MetS at a monitoring level when the values of at least three of the components of MetS exceed the 90th percentile),,,,,categorical,,,,,,,,,, -NFBC1966,core,age_fdg3,age_fdg3,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,core,birth_head_circum,Circumference of the head at birth,,,1.0.0,,continuous,cm,,,,,,,Birth head circumference,, -LifeCycle_CDM,core,birth_length,Length of the child at birth,,,1.0.0,,continuous,cm,,,,,,,Birth length,, -LifeCycle_CDM,core,birth_month,Birth month of the index child,,,1.0.0,,integer,month,,,,,,,Year and month of birth,, -LifeCycle_CDM,core,birth_weight,Weight of the child at birth,,,1.0.0,,continuous,gram,,,,,,,Birth weight,, -LifeCycle_CDM,core,birth_year,Birth year of the index child,,,1.0.0,,integer,year,,,,,,,Year and month of birth,, -LifeCycle_CDM,core,blue_dist_0,"straight line distance to nearest blue space > 5,000 m2 at birth",,,1.0.0,,continuous,meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_distance,, -LifeCycle_CDM,core,blue_dist_preg,"straight line distance to nearest blue space > 5,000 m2 at pregnancy",,,1.0.0,,continuous,meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_distance,, -LifeCycle_CDM,core,plac_weight,Placental weight,,,1.0.0,,continuous,gram,,,,Weight of placenta at delivery,,,Placenta weight,, -LifeCycle_CDM,core,blue_dist_t1,"straight line distance to nearest blue space > 5,000 m2 at first trimester",,,1.0.0,,continuous,meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_distance,, -LifeCycle_CDM,core,blue_size_0,"area of closest blue space > 5,000m2 at birth",,,1.0.0,,continuous,square_meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_size,, -LifeCycle_CDM,core,blue_size_preg,"area of closest blue space > 5,000m2 at pregnancy",,,1.0.0,,continuous,square_meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_size,, -LifeCycle_CDM,core,blue_size_t1,"area of closest blue space > 5,000m2 at first trimester",,,1.0.0,,continuous,square_meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_size,, -LifeCycle_CDM,core,blueyn300_0,"is there a blue space > 5,000 m2 in a distance of 300 m? at birth",,,1.0.0,,binary,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_access,, -LifeCycle_CDM,core,ln_1,night level at birth,,,1.0.0,,continuous,A_weighted_decibel,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,ln,, -LifeCycle_CDM,core,blueyn300_preg,"is there a blue space > 5,000 m2 in a distance of 300 m? at pregnancy",,,1.0.0,,binary,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_access,, -LifeCycle_CDM,core,blueyn300_t1,"is there a blue space > 5,000 m2 in a distance of 300 m? at first trimester",,,1.0.0,,binary,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_access,, -LifeCycle_CDM,core,bn_m_0,Maternal bulimia nervosa active active from ≥0 to 1 year.,,,1.0.0,,binary,,,,,"Maternal bulimia nervosa active active from ≥0 to 1 year: self-reported or registry-based. If both sources of information are available, consider registry-based BN. +Fathers who were asked whether their asthma was diagnosed by a doctor but who did not know or were unsure, should be coded as missing.",,,Paternal asthma,,,False,,,,, +LifeCycle,core,asthma_m,Maternal history of asthma before pregnancy,,,1.0.0,,binary,,,,,"Where data are available, asthma should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Maternal asthma,,,False,,,,, +LifeCycle,core,bdens100_,building density within a buffer of 100 m at birth,,,1.0.0,,continuous,square_meter_per_square_kilometer,,,,using European Settlement Map 2017 except for MOBA (Open Street Maps),,,building_density100,,,False,,,,, +LifeCycle,core,bdens100_preg,building density within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,square_meter_per_square_kilometer,,,,using European Settlement Map 2017 except for MOBA (Open Street Maps),,,building_density100,,,False,,,,, +LifeCycle,core,bdens100_t,building density within a buffer of 100 m at first trimester,,,1.0.0,,continuous,square_meter_per_square_kilometer,,,,using European Settlement Map 2017 except for MOBA (Open Street Maps),,,building_density100,,,False,,,,, +LifeCycle,core,bdens300_,building density within a buffer of 300 m at birth,,,1.0.0,,continuous,square_meter_per_square_kilometer,,,,using European Settlement Map 2017 except for MOBA (Open Street Maps),,,building_density300,,,False,,,,, +LifeCycle,core,bdens300_preg,building density within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,square_meter_per_square_kilometer,,,,using European Settlement Map 2017 except for MOBA (Open Street Maps),,,building_density300,,,False,,,,, +LifeCycle,core,bdens300_t,building density within a buffer of 300 m at first trimester,,,1.0.0,,continuous,square_meter_per_square_kilometer,,,,using European Settlement Map 2017 except for MOBA (Open Street Maps),,,building_density300,,,False,,,,, +ATHLETE,outcome_ath,mets_ idefics_,Repeated classification of pediatric MetS based on the IDEFICS definition (pediatric MetS at a monitoring level when the values of at least three of the components of MetS exceed the 90th percentile),,,,,categorical,,,,,,,,,,,False,,,,, +LifeCycle,core,birth_head_circum,Circumference of the head at birth,,,1.0.0,,continuous,cm,,,,,,,Birth head circumference,,,False,,,,, +LifeCycle,core,birth_length,Length of the child at birth,,,1.0.0,,continuous,cm,,,,,,,Birth length,,,False,,,,, +LifeCycle,core,birth_month,Birth month of the index child,,,1.0.0,,integer,month,,,,,,,Year and month of birth,,,False,,,,, +LifeCycle,core,birth_weight,Weight of the child at birth,,,1.0.0,,continuous,gram,,,,,,,Birth weight,,,False,,,,, +LifeCycle,core,birth_year,Birth year of the index child,,,1.0.0,,integer,year,,,,,,,Year and month of birth,,,False,,,,, +LifeCycle,core,blue_dist_,"straight line distance to nearest blue space > 5,000 m2 at birth",,,1.0.0,,continuous,meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_distance,,,False,,,,, +LifeCycle,core,blue_dist_preg,"straight line distance to nearest blue space > 5,000 m2 at pregnancy",,,1.0.0,,continuous,meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_distance,,,False,,,,, +LifeCycle,core,plac_weight,Placental weight,,,1.0.0,,continuous,gram,,,,Weight of placenta at delivery,,,Placenta weight,,,False,,,,, +LifeCycle,core,blue_dist_t,"straight line distance to nearest blue space > 5,000 m2 at first trimester",,,1.0.0,,continuous,meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_distance,,,False,,,,, +LifeCycle,core,blue_size_,"area of closest blue space > 5,000m2 at birth",,,1.0.0,,continuous,square_meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_size,,,False,,,,, +LifeCycle,core,blue_size_preg,"area of closest blue space > 5,000m2 at pregnancy",,,1.0.0,,continuous,square_meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_size,,,False,,,,, +LifeCycle,core,blue_size_t,"area of closest blue space > 5,000m2 at first trimester",,,1.0.0,,continuous,square_meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_size,,,False,,,,, +LifeCycle,core,blueyn300_,"is there a blue space > 5,000 m2 in a distance of 300 m? at birth",,,1.0.0,,binary,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_access,,,False,,,,, +LifeCycle,core,ln_,night level at birth,,,1.0.0,,continuous,A_weighted_decibel,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,ln,,,False,,,,, +LifeCycle,core,blueyn300_preg,"is there a blue space > 5,000 m2 in a distance of 300 m? at pregnancy",,,1.0.0,,binary,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_access,,,False,,,,, +LifeCycle,core,blueyn300_t,"is there a blue space > 5,000 m2 in a distance of 300 m? at first trimester",,,1.0.0,,binary,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,blue_access,,,False,,,,, +LifeCycle,core,bn_m_,Maternal bulimia nervosa active active from ≥0 to 1 year.,,,1.0.0,,binary,,,,,"Maternal bulimia nervosa active active from ≥0 to 1 year: self-reported or registry-based. If both sources of information are available, consider registry-based BN. Partial harmonization includes: - Standardized questionnaires/criteria that refer to the period after pregnancy; - Maternal report of BN active after pregnancy with no specification on whether it is doctor-diagnosed or not. -Please, specify how this variable was created, and whether BN was assessed through medical records or self-reported.",,,Bulimia nervosa,, -LifeCycle_CDM,core,breastfed_any,Total duration of any breastfeeding,,,1.0.0,,continuous,month,,,,"Total duration of any breastfeeding (in the index child), in months. -Upper limit of 12 months; durations greater than 12 months assigned the value 12 months. Children never breastfed will have a duration of 0 months",,,Breastfeeding,, -LifeCycle_CDM,core,breastfed_ever,Child ever breast fed,,,1.0.0,,binary,,,,,,,,Breastfeeding,, -LifeCycle_CDM,core,breastfed_excl,Total duration of exclusive breastfeeding,,,1.0.0,,continuous,month,,,,"Total duration of exclusive breastfeeding (in the index child), in months. -Upper limit of 6 months; durations greater than 6 months assigned the value 6 months. Children never breastfed will have a duration of 0 months",,,Breastfeeding,, -LifeCycle_CDM,core,death_m,Maternal death,,,1.0.0,,binary,,,,,Indicator variable for death of the child's mother,,,Maternal death,, -LifeCycle_CDM,core,bus_lines_100_0,length of public bus lines within a buffer of 100 m at birth,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines100,, -LifeCycle_CDM,core,bus_lines_100_preg,length of public bus lines within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines100,, -LifeCycle_CDM,core,bus_lines_100_t1,length of public bus lines within a buffer of 100 m at first trimester,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines100,, -LifeCycle_CDM,core,bus_lines_300_0,length of public bus lines within a buffer of 300 m at birth,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines300,, -LifeCycle_CDM,core,bus_lines_300_preg,length of public bus lines within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines300,, -LifeCycle_CDM,core,bus_lines_300_t1,length of public bus lines within a buffer of 300 m at first trimester,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines300,, -LifeCycle_CDM,core,bus_lines_500_0,length of public bus lines within a buffer of 500 m at birth,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines500,, -LifeCycle_CDM,core,bus_lines_500_preg,length of public bus lines within a buffer of 500 m at pregnancy,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines500,, -LifeCycle_CDM,core,bus_lines_500_t1,length of public bus lines within a buffer of 500 m at first trimester,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines500,, -LifeCycle_CDM,core,bus_stops_100_0,number of public bus stops within a buffer of 100 m at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops100,, -LifeCycle_CDM,core,bus_stops_100_preg,number of public bus stops within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops100,, -LifeCycle_CDM,core,bus_stops_100_t1,number of public bus stops within a buffer of 100 m at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops100,, -LifeCycle_CDM,core,bus_stops_300_0,number of public bus stops within a buffer of 100 m at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops300,, -LifeCycle_CDM,core,ln_c_1,categorized night level at birth,,,1.0.0,,categorical,,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,ln_categorical,, -LifeCycle_CDM,core,bus_stops_300_preg,number of public bus stops within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops300,, -LifeCycle_CDM,core,bus_stops_300_t1,number of public bus stops within a buffer of 300 m at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops300,, -LifeCycle_CDM,core,bus_stops_500_0,number of public bus stops within a buffer of 500 m at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops500,, -LifeCycle_CDM,core,bus_stops_500_preg,number of public bus stops within a buffer of 500 m at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops500,, -LifeCycle_CDM,core,death_m_age,Age of the child at the time of mother's death,,,1.0.0,,integer,day,,,,,,,Maternal death,, -LifeCycle_CDM,core,bus_stops_500_t1,number of public bus stops within a buffer of 500 m at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops500,, -ATHLETE_CDM,outcome_ath,mets_age_0,Exact age of the child (in years) when the MetS components were measured.,,,,,continuous,years,,,,,,,,, -LifeCycle_CDM,core,cats_0,Cat ownership (≥0 to <1year),,,1.0.0,,binary,,,,,Cat ownership in child's household from 0 to <1 year,,,Cats (any),, -LifeCycle_CDM,core,cats_preg,Cat ownership in pregnancy,,,1.0.0,,binary,,,,,Cat ownership in household during pregnancy,,,Cats (any),, -LifeCycle_CDM,core,cats_quant_0,Number of cats owned (≥0 to <1year),,,1.0.0,,integer,cats,,,,"Number of cats owned in child's household from 0 to <1 year - -If no cats are owned, value=0",,,Cats (number),, -LongITools_CDM,wave_01,hypertension,Hypertension,,,1.0.0,,categorical,,,,,Hypertension status based on physician diagnosis: either being told by a physician or medical records. Provide repeated measures in long format with corresponding age in years.,,,,, -LifeCycle_CDM,core,cats_quant_preg,Number of cats owned in pregnancy,,,1.0.0,,integer,cats,,,,"Number of cats owned in household during pregnancy - -If no cats are owned, value=0",,,Cats (number),, -LifeCycle_CDM,core,cer_palsy,Any subtype of cerebral palsy,,,1.0.0,,binary,,,,,,,,Cerebral palsy,, -LifeCycle_CDM,core,child_id,Unique identifier number for the index child,,,1.0.0,,integer,,,,,either original id or new id generated by the cohort,,,Child id,, -LifeCycle_CDM,core,child_no,Within pregnancy birth order,,,1.0.0,,integer,,,,,"For single child pregnancies, assign ‘1’ to the child. For multiple child pregnancies, each child is numbered in the order that they were born (i.e. the first-born child from a multiple pregnancy is assigned the number ‘1’, the second-born child is assigned the number ‘2’, etc..) - -Each child must be assigned a child number >=1, which is unique within a pregnancy. This includes pregnancies that resulted in a spontaneous abortion, induced abortion or other birth outcome where the birth order may not have been defined.",,,,, -LifeCycle_CDM,core,childcare_0,Child cared for by care givers other than parents (age ≥0 and <1 year),,,1.0.0,,binary,,,,,Child is cared for by other care givers other than the parents of the child within 1st year of life (age range ≥0 and <1 year),,,Childcare,, -LifeCycle_CDM,core,childcare_intro,Age child started in child care,,,1.0.0,,continuous,month,,,,,,,Childcare,, -LifeCycle_CDM,core,childcarecentre_0,Child attending a day care centre (age ≥0 and <1 year),,,1.0.0,,binary,,,,,Child attending a day care centre within the first year of life (age range ≥0 and <1 year),,,Childcare,, -LifeCycle_CDM,core,childcareprof_0,Child cared for by a child care professional (age ≥0 and <1 year),,,1.0.0,,binary,,,,,Child cared for by a professional child minder within 1st year of life (age range ≥0 and <1 year),,,Childcare,, -LifeCycle_CDM,core,childcarerel_0,Child cared for by relatives/friends/nanny/babysitter/au pair (age ≥0 and <1 year),,,1.0.0,,binary,,,,,"Child cared for by relatives, friends, nanny, babysitter or au pair within 1st year of life (age range ≥0 and <1 year)",,,Childcare,, -LifeCycle_CDM,core,cob_m,Maternal country of birth,,,1.0.0,,categorical,,,,,"A list of EU member states is provided in Annex I of the following EUSILC document: +Please, specify how this variable was created, and whether BN was assessed through medical records or self-reported.",,,Bulimia nervosa,,,False,,,,, +LifeCycle,core,breastfed_any,Total duration of any breastfeeding,,,1.0.0,,continuous,month,,,,"Total duration of any breastfeeding (in the index child), in months. +Upper limit of 12 months; durations greater than 12 months assigned the value 12 months. Children never breastfed will have a duration of 0 months",,,Breastfeeding,,,False,,,,, +LifeCycle,core,breastfed_ever,Child ever breast fed,,,1.0.0,,binary,,,,,,,,Breastfeeding,,,False,,,,, +LifeCycle,core,breastfed_excl,Total duration of exclusive breastfeeding,,,1.0.0,,continuous,month,,,,"Total duration of exclusive breastfeeding (in the index child), in months. +Upper limit of 6 months; durations greater than 6 months assigned the value 6 months. Children never breastfed will have a duration of 0 months",,,Breastfeeding,,,False,,,,, +LifeCycle,core,death_m,Maternal death,,,1.0.0,,binary,,,,,Indicator variable for death of the child's mother,,,Maternal death,,,False,,,,, +LifeCycle,core,bus_lines_100_,length of public bus lines within a buffer of 100 m at birth,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines100,,,False,,,,, +LifeCycle,core,bus_lines_100_preg,length of public bus lines within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines100,,,False,,,,, +LifeCycle,core,height_,Child's height (0 and <1 month,,,1.0.0,,continuous,cm,,,,Child's height measured between the ages of 0 and <1 month. This does not include the child’s birth length,,,Child's height,,,True,Week,0,42,, +LifeCycle,core,bus_lines_100_t,length of public bus lines within a buffer of 100 m at first trimester,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines100,,,False,,,,, +LifeCycle,core,bus_lines_300_,length of public bus lines within a buffer of 300 m at birth,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines300,,,False,,,,, +LifeCycle,core,bus_lines_300_preg,length of public bus lines within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines300,,,False,,,,, +LifeCycle,core,bus_lines_300_t,length of public bus lines within a buffer of 300 m at first trimester,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines300,,,False,,,,, +LifeCycle,core,bus_lines_500_,length of public bus lines within a buffer of 500 m at birth,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines500,,,False,,,,, +LifeCycle,core,bus_lines_500_preg,length of public bus lines within a buffer of 500 m at pregnancy,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines500,,,False,,,,, +LifeCycle,core,bus_lines_500_t,length of public bus lines within a buffer of 500 m at first trimester,,,1.0.0,,continuous,meter_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_lines500,,,False,,,,, +LifeCycle,core,bus_stops_100_,number of public bus stops within a buffer of 100 m at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops100,,,False,,,,, +LifeCycle,core,bus_stops_100_preg,number of public bus stops within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops100,,,False,,,,, +LifeCycle,core,bus_stops_100_t,number of public bus stops within a buffer of 100 m at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops100,,,False,,,,, +LifeCycle,core,bus_stops_300_,number of public bus stops within a buffer of 100 m at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops300,,,False,,,,, +LifeCycle,core,ln_c_,categorized night level at birth,,,1.0.0,,categorical,,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,ln_categorical,,,False,,,,, +LifeCycle,core,bus_stops_300_preg,number of public bus stops within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops300,,,False,,,,, +LifeCycle,core,bus_stops_300_t,number of public bus stops within a buffer of 300 m at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops300,,,False,,,,, +LifeCycle,core,bus_stops_500_,number of public bus stops within a buffer of 500 m at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops500,,,False,,,,, +LifeCycle,core,bus_stops_500_preg,number of public bus stops within a buffer of 500 m at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops500,,,False,,,,, +LifeCycle,core,death_m_age,Age of the child at the time of mother's death,,,1.0.0,,integer,day,,,,,,,Maternal death,,,False,,,,, +LifeCycle,core,bus_stops_500_t,number of public bus stops within a buffer of 500 m at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using a different local layer or open street maps for each cohort,,,access_to_public_transport_stops500,,,False,,,,, +ATHLETE,outcome_ath,mets_age_,Exact age of the child (in years) when the MetS components were measured.,,,,,continuous,years,,,,,,,,,,False,,,,, +LifeCycle,core,cats_,Cat ownership (≥0 to <1year),,,1.0.0,,binary,,,,,Cat ownership in child's household from 0 to <1 year,,,Cats (any),,,False,,,,, +LifeCycle,core,cats_preg,Cat ownership in pregnancy,,,1.0.0,,binary,,,,,Cat ownership in household during pregnancy,,,Cats (any),,,False,,,,, +LifeCycle,core,cats_quant_,Number of cats owned (≥0 to <1year),,,1.0.0,,integer,cats,,,,"Number of cats owned in child's household from 0 to <1 year + +If no cats are owned, value=0",,,Cats (number),,,False,,,,, +LifeCycle,core,cats_quant_preg,Number of cats owned in pregnancy,,,1.0.0,,integer,cats,,,,"Number of cats owned in household during pregnancy + +If no cats are owned, value=0",,,Cats (number),,,False,,,,, +LifeCycle,core,cer_palsy,Any subtype of cerebral palsy,,,1.0.0,,binary,,,,,,,,Cerebral palsy,,,False,,,,, +LifeCycle,core,child_id,Unique identifier number for the index child,,,1.0.0,,integer,,,,,either original id or new id generated by the cohort,,,Child id,,,False,,,,, +LifeCycle,core,child_no,Within pregnancy birth order,,,1.0.0,,integer,,,,,"For single child pregnancies, assign ‘1’ to the child. For multiple child pregnancies, each child is numbered in the order that they were born (i.e. the first-born child from a multiple pregnancy is assigned the number ‘1’, the second-born child is assigned the number ‘2’, etc..) + +Each child must be assigned a child number >=1, which is unique within a pregnancy. This includes pregnancies that resulted in a spontaneous abortion, induced abortion or other birth outcome where the birth order may not have been defined.",,,,,,False,,,,, +LifeCycle,core,childcare_,Child cared for by care givers other than parents (age ≥0 and <1 year),,,1.0.0,,binary,,,,,Child is cared for by other care givers other than the parents of the child within 1st year of life (age range ≥0 and <1 year),,,Childcare,,,True,Trimester,0,3,, +LifeCycle,core,childcare_intro,Age child started in child care,,,1.0.0,,continuous,month,,,,,,,Childcare,,,False,,,,, +LifeCycle,core,childcarecentre_,Child attending a day care centre (age ≥0 and <1 year),,,1.0.0,,binary,,,,,Child attending a day care centre within the first year of life (age range ≥0 and <1 year),,,Childcare,,,True,Trimester,0,3,, +LifeCycle,core,childcareprof_,Child cared for by a child care professional (age ≥0 and <1 year),,,1.0.0,,binary,,,,,Child cared for by a professional child minder within 1st year of life (age range ≥0 and <1 year),,,Childcare,,,True,Trimester,0,3,, +LifeCycle,core,childcarerel_,Child cared for by relatives/friends/nanny/babysitter/au pair (age ≥0 and <1 year),,,1.0.0,,binary,,,,,"Child cared for by relatives, friends, nanny, babysitter or au pair within 1st year of life (age range ≥0 and <1 year)",,,Childcare,,,True,Trimester,0,3,, +LifeCycle,core,cob_m,Maternal country of birth,,,1.0.0,,categorical,,,,,"A list of EU member states is provided in Annex I of the following EUSILC document: (https://circabc.europa.eu/sd/a/e9a5d1ad-f5c7-4b80-bdc9-1ce34ec828eb/DOCSILC065%20operation%202018_V5.pdf -For French cohorts, mothers born in French overseas departments and territories should be coded as “0” (born in country of cohort).",,,Maternal country of birth,, -LifeCycle_CDM,core,death_p,Paternal death,,,1.0.0,,binary,,,,,Indicator variable for death of the child's father,,,Paternal death,, -LifeCycle_CDM,core,death_p_age,Age of the child at the time of father's death,,,1.0.0,,integer,day,,,,,,,Paternal death,, -LifeCycle_CDM,core,fastfood_sch,Visiting fast food restaurants per week (5-8 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (School),, -LifeCycle_CDM,core,cob_p,Paternal country of birth,,,1.0.0,,categorical,,,,,"A list of EU member states is provided in Annex I of the following EUSILC document: +For French cohorts, mothers born in French overseas departments and territories should be coded as “0” (born in country of cohort).",,,Maternal country of birth,,,False,,,,, +LifeCycle,core,death_p,Paternal death,,,1.0.0,,binary,,,,,Indicator variable for death of the child's father,,,Paternal death,,,False,,,,, +LifeCycle,core,death_p_age,Age of the child at the time of father's death,,,1.0.0,,integer,day,,,,,,,Paternal death,,,False,,,,, +LifeCycle,core,fastfood_sch,Visiting fast food restaurants per week (5-8 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (School),,,False,,,,, +LifeCycle,core,cob_p,Paternal country of birth,,,1.0.0,,categorical,,,,,"A list of EU member states is provided in Annex I of the following EUSILC document: (https://circabc.europa.eu/sd/a/e9a5d1ad-f5c7-4b80-bdc9-1ce34ec828eb/DOCSILC065%20operation%202018_V5.pdf -For French cohorts, fathers born in French overseas departments and territories should be coded as “0” (born in country of cohort)",,,Paternal country of birth,, -LifeCycle_CDM,core,cob_p_fath,"Type of father, paternal country of birth",,,1.0.0,,categorical,,,,,"Variable indicating whether country of birth recorded in variable cob_p is for the biological father, the social father/mother or whether this is unknown",,,Paternal country of birth,, -LifeCycle_CDM,core,coh_country,Country of the cohort,,,1.0.0,,categorical,,,,,Based on ISO 3166 numeric country codes,,,Country of cohort,, -NFBC1966,core,age_fdg11,age_fdg11,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,core,ln_c_preg,categorized night level at pregnancy,,,1.0.0,,categorical,,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,ln_categorical,, -ATHLETE_CDM,outcome_ath,mets_idefics_0,Repeated classification of pediatric MetS based on the IDEFICS definition (pediatric MetS at a monitoring level when the values of at least three of the components of MetS exceed the 90th percentile),,,,,categorical,,,,,,,,,, -LifeCycle_CDM,core,cohab_0,Cohabitation status of the mother (age ≥0 year and <1 year),,,1.0.0,,binary,,,,,"Cohabitation status of the mother: are her and her partner living together as a couple? +For French cohorts, fathers born in French overseas departments and territories should be coded as “0” (born in country of cohort)",,,Paternal country of birth,,,False,,,,, +LifeCycle,core,cob_p_fath,"Type of father, paternal country of birth",,,1.0.0,,categorical,,,,,"Variable indicating whether country of birth recorded in variable cob_p is for the biological father, the social father/mother or whether this is unknown",,,Paternal country of birth,,,False,,,,, +LifeCycle,core,coh_country,Country of the cohort,,,1.0.0,,categorical,,,,,Based on ISO 3166 numeric country codes,,,Country of cohort,,,False,,,,, +LifeCycle,core,ln_c_preg,categorized night level at pregnancy,,,1.0.0,,categorical,,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,ln_categorical,,,False,,,,, +ATHLETE,outcome_ath,mets_idefics_,Repeated classification of pediatric MetS based on the IDEFICS definition (pediatric MetS at a monitoring level when the values of at least three of the components of MetS exceed the 90th percentile),,,,,categorical,,,,,,,,,,,False,,,,, +LifeCycle,core,cohab_,Cohabitation status of the mother (age ≥0 year and <1 year),,,1.0.0,,binary,,,,,"Cohabitation status of the mother: are her and her partner living together as a couple? ""Mother's partner"" can be the biological partner, a new patner or a partner of the same gender. -cohab_0: at birth or as near to birth as possible and within one year of birth.",,,Maternal cohabitation status,, -LifeCycle_CDM,core,cohort_id,Unique identifier number for the cohort,,,1.0.0,,categorical,,,,,,,,Cohort id,, -LifeCycle_CDM,core,con_anomalies,Any congenital malformation,,,1.0.0,,binary,,,,,Diagnosed within the 1st year of life,,,Congenital anomalies,, -LifeCycle_CDM,core,connind100_0,connectivity density within a buffer of 100 m at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,connectivity_density100,, -LifeCycle_CDM,core,connind100_preg,connectivity density within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,connectivity_density100,, -LifeCycle_CDM,core,connind100_t1,connectivity density within a buffer of 100 m at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,connectivity_density100,, -LifeCycle_CDM,core,ethn2_p,Father's ethnic background based on colour,,,1.0.0,,categorical,,,,,,,,Paternal ethnicity,, -LifeCycle_CDM,core,connind300_0,connectivity density within a buffer of 300 m at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,connectivity_density300,, -LifeCycle_CDM,core,connind300_preg,connectivity density within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,connectivity_density300,, -LifeCycle_CDM,core,connind300_t1,connectivity density within a buffer of 300 m at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,connectivity_density300,, -LifeCycle_CDM,core,dairy_pgn,Milk and milk products during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,dairy_psc,Milk and milk products in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,dairy_sch,Milk and milk products in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,dash_pgn,Fung's DASH diet index in pregnancy,,,1.0.0,,integer,,,,,,,,DASH diet index (M),, -LifeCycle_CDM,core,dash_sch,Fung's DASH diet index in school-aged children (5-8 years),,,1.0.0,,integer,,,,,,,,DASH diet index,, -LifeCycle_CDM,core,death_child,Indicator variable for death of the child,,,1.0.0,,binary,,,,,,,,Death of child,, -LifeCycle_CDM,core,death_child_age,Age of death of the child,,,1.0.0,,integer,day,,,,Number of days alive indicating date of death in days. Only relevant for deceased children,,,Death of child,, -LifeCycle_CDM,core,supp_sch,Any dietary supplements intake in school-age children (5-8 years),,,1.0.0,,binary,,,,,,,,Supplements (School),, -LifeCycle_CDM,core,death_p_fath,"Type of father, paternal death",,,1.0.0,,categorical,,,,,"Variable indicating whether the paternal death recorded in variable death_p, is the death of the biological father, a social father/mother or whether this is unknown",,,Paternal death,, -LifeCycle_CDM,core,dia_bf,Diabetes diagnosis (biological father),,,1.0.0,,categorical,,,,,State in harmonisation description whether the type of father was specified at time of data collection (i.e. whether these data definitely relate to the biological and not the social father),,,Paternal diabetes,, -LifeCycle_CDM,core,dietage_psc,Exact age at dietary assessment in preschool age (2-4 years),,,1.0.0,,continuous,year,,,,,,,Exact age at dietary assessment (Preschool),, -LifeCycle_CDM,core,dietage_sch,Exact age at dietary assessment of school-age children,,,1.0.0,,continuous,year,,,,,,,Exact age at dietary assessment (School),, -LifeCycle_CDM,core,dietass_pgn,Method of dietary assessment in pregnancy,,,1.0.0,,categorical,,,,,,,,Method of dietary assessment (M),, -LifeCycle_CDM,core,dietass_psc,Method of dietary assessment in preschool age (age 2-4),,,1.0.0,,categorical,,,,,,,,Method of dietary assessment (Preschool),, -LifeCycle_CDM,core,dietass_sch,Method of dietary assessment in school-age children (5-8 years),,,1.0.0,,categorical,,,,,,,,Method of dietary assessment (School),, -LifeCycle_CDM,core,dietga_pgn,Gestational week at dietary assessment,,,1.0.0,,continuous,week,,,,,,,Gestational week at dietary assessment,, -LifeCycle_CDM,core,distinvnear1_0,inverse distance to nearest road at birth,,,1.0.0,,continuous,inverse_meter,,,,using the same source for all the cohorts (NAVTEQ),,,distance (noise),, -LifeCycle_CDM,core,distinvnear1_preg,inverse distance to nearest road at pregnancy,,,1.0.0,,continuous,inverse_meter,,,,using the same source for all the cohorts (NAVTEQ),,,distance (noise),, -LifeCycle_CDM,core,distinvnear1_t1,inverse distance to nearest road at first trimester,,,1.0.0,,continuous,inverse_meter,,,,using the same source for all the cohorts (NAVTEQ),,,distance (noise),, -LifeCycle_CDM,core,dogs_0,Dog ownership (≥0 to <1year),,,1.0.0,,binary,,,,,Dog ownership in child's household from 0 to <1 year,,,Dogs (any),, -LifeCycle_CDM,core,dogs_preg,Dog ownership in pregnancy,,,1.0.0,,binary,,,,,Dog ownership in household during pregnancy,,,Dogs (any),, -LifeCycle_CDM,core,dogs_quant_0,Number of dogs owned (≥0 to <1year),,,1.0.0,,integer,dogs,,,,"Number of dogs owned in child's household from 0 to <1 year - -If no dogs are owned, value=0",,,Dogs (number),, -LifeCycle_CDM,core,dogs_quant_preg,Number of dogs owned in pregnancy,,,1.0.0,,integer,dogs,,,,"Number of dogs owned in household during pregnancy - -If no dogs are owned, value=0",,,Dogs (number),, -LifeCycle_CDM,core,ed_m_0,Maternal any eating disorder active from ≥0 to 1 year.,,,1.0.0,,binary,,,,,"Maternal any eating disorder active from ≥0 to 1 year: self-reported or registry-based. If both sources of information are available, consider registry-based disorders. +cohab_0: at birth or as near to birth as possible and within one year of birth.",,,Maternal cohabitation status,,,True,Trimester,0,3,, +LifeCycle,core,cohort_id,Unique identifier number for the cohort,,,1.0.0,,categorical,,,,,,,,Cohort id,,,False,,,,, +LifeCycle,core,con_anomalies,Any congenital malformation,,,1.0.0,,binary,,,,,Diagnosed within the 1st year of life,,,Congenital anomalies,,,False,,,,, +LifeCycle,core,connind100_,connectivity density within a buffer of 100 m at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,connectivity_density100,,,False,,,,, +LifeCycle,core,connind100_preg,connectivity density within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,connectivity_density100,,,False,,,,, +LifeCycle,core,connind100_t,connectivity density within a buffer of 100 m at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,connectivity_density100,,,False,,,,, +LifeCycle,core,ethn2_p,Father's ethnic background based on colour,,,1.0.0,,categorical,,,,,,,,Paternal ethnicity,,,False,,,,, +LifeCycle,core,connind300_,connectivity density within a buffer of 300 m at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,connectivity_density300,,,False,,,,, +LifeCycle,core,connind300_preg,connectivity density within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,connectivity_density300,,,False,,,,, +LifeCycle,core,height_f,"Paternal height, primary father",,,1.0.0,,continuous,cm,,,,"Primary/main father figure´s height reported in first paternal questionnaire + +Use measured height if available. +Note in the catalogue when it was recorded, i.e., which follow-up",,,Paternal height,,,False,,,,, +LifeCycle,core,connind300_t,connectivity density within a buffer of 300 m at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,connectivity_density300,,,False,,,,, +LifeCycle,core,dairy_pgn,Milk and milk products during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,dairy_psc,Milk and milk products in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,dairy_sch,Milk and milk products in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,dash_pgn,Fung's DASH diet index in pregnancy,,,1.0.0,,integer,,,,,,,,DASH diet index (M),,,False,,,,, +LifeCycle,core,dash_sch,Fung's DASH diet index in school-aged children (5-8 years),,,1.0.0,,integer,,,,,,,,DASH diet index,,,False,,,,, +LifeCycle,core,death_child,Indicator variable for death of the child,,,1.0.0,,binary,,,,,,,,Death of child,,,False,,,,, +LifeCycle,core,death_child_age,Age of death of the child,,,1.0.0,,integer,day,,,,Number of days alive indicating date of death in days. Only relevant for deceased children,,,Death of child,,,False,,,,, +LifeCycle,core,supp_sch,Any dietary supplements intake in school-age children (5-8 years),,,1.0.0,,binary,,,,,,,,Supplements (School),,,False,,,,, +LifeCycle,core,death_p_fath,"Type of father, paternal death",,,1.0.0,,categorical,,,,,"Variable indicating whether the paternal death recorded in variable death_p, is the death of the biological father, a social father/mother or whether this is unknown",,,Paternal death,,,False,,,,, +LifeCycle,core,dia_bf,Diabetes diagnosis (biological father),,,1.0.0,,categorical,,,,,State in harmonisation description whether the type of father was specified at time of data collection (i.e. whether these data definitely relate to the biological and not the social father),,,Paternal diabetes,,,False,,,,, +LifeCycle,core,dietage_psc,Exact age at dietary assessment in preschool age (2-4 years),,,1.0.0,,continuous,year,,,,,,,Exact age at dietary assessment (Preschool),,,False,,,,, +LifeCycle,core,dietage_sch,Exact age at dietary assessment of school-age children,,,1.0.0,,continuous,year,,,,,,,Exact age at dietary assessment (School),,,False,,,,, +LifeCycle,core,dietass_pgn,Method of dietary assessment in pregnancy,,,1.0.0,,categorical,,,,,,,,Method of dietary assessment (M),,,False,,,,, +LifeCycle,core,dietass_psc,Method of dietary assessment in preschool age (age 2-4),,,1.0.0,,categorical,,,,,,,,Method of dietary assessment (Preschool),,,False,,,,, +LifeCycle,core,dietass_sch,Method of dietary assessment in school-age children (5-8 years),,,1.0.0,,categorical,,,,,,,,Method of dietary assessment (School),,,False,,,,, +LifeCycle,core,dietga_pgn,Gestational week at dietary assessment,,,1.0.0,,continuous,week,,,,,,,Gestational week at dietary assessment,,,False,,,,, +LifeCycle,core,distinvnear1_,inverse distance to nearest road at birth,,,1.0.0,,continuous,inverse_meter,,,,using the same source for all the cohorts (NAVTEQ),,,distance (noise),,,False,,,,, +LifeCycle,core,distinvnear1_preg,inverse distance to nearest road at pregnancy,,,1.0.0,,continuous,inverse_meter,,,,using the same source for all the cohorts (NAVTEQ),,,distance (noise),,,False,,,,, +LifeCycle,core,distinvnear1_t,inverse distance to nearest road at first trimester,,,1.0.0,,continuous,inverse_meter,,,,using the same source for all the cohorts (NAVTEQ),,,distance (noise),,,False,,,,, +LifeCycle,core,dogs_,Dog ownership (≥0 to <1year),,,1.0.0,,binary,,,,,Dog ownership in child's household from 0 to <1 year,,,Dogs (any),,,False,,,,, +LifeCycle,core,dogs_preg,Dog ownership in pregnancy,,,1.0.0,,binary,,,,,Dog ownership in household during pregnancy,,,Dogs (any),,,False,,,,, +LifeCycle,core,dogs_quant_,Number of dogs owned (≥0 to <1year),,,1.0.0,,integer,dogs,,,,"Number of dogs owned in child's household from 0 to <1 year + +If no dogs are owned, value=0",,,Dogs (number),,,False,,,,, +LifeCycle,core,dogs_quant_preg,Number of dogs owned in pregnancy,,,1.0.0,,integer,dogs,,,,"Number of dogs owned in household during pregnancy + +If no dogs are owned, value=0",,,Dogs (number),,,False,,,,, +LifeCycle,core,ed_m_,Maternal any eating disorder active from ≥0 to 1 year.,,,1.0.0,,binary,,,,,"Maternal any eating disorder active from ≥0 to 1 year: self-reported or registry-based. If both sources of information are available, consider registry-based disorders. Partial harmonization includes: - Standardized questionnaires/criteria that refer to the period after pregnancy; - Maternal report of eating disorders active after pregnancy with no specification on whether it is doctor-diagnosed or not. - If “any eating disorder” is not available, but only for example, anorexia nervosa and bulimia nervosa, these can be included as “any” eating disorder, and labelled as “partial harmonization”. -Please specify how this variable was created, and whether the disorder was assessed through medical records or self-reported.",,,Any eating disorder,, -LifeCycle_CDM,core,ethn1_m,(Ethnic) background of mother based on country of origin (of parents),,,1.0.0,,categorical,,,,,"Western countries include European Union, Andorra, Australia, Canada, Iceland, Liechtenstein, Monaco, New Zealand, Norway, San Marino, Switzerland, USA and Vatican City. Non-western countries include all other countries.",,,Maternal ethnicity,, -LifeCycle_CDM,core,hum_1,average of mean relative humidity during first year (>0 year and <=1 year),,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,mean_relative_humidity,, -LifeCycle_CDM,core,edu_f1_0,Primary father figure's education level (age >-1 year and <1 year),,,1.0.0,,categorical,,,,,"Primary father figure's level of education based on the highest on-going or completed education within one year of birth. If more than one education level is reported within the defined time frame, use highest recorded education level. +Please specify how this variable was created, and whether the disorder was assessed through medical records or self-reported.",,,Any eating disorder,,,False,,,,, +LifeCycle,core,ethn1_m,(Ethnic) background of mother based on country of origin (of parents),,,1.0.0,,categorical,,,,,"Western countries include European Union, Andorra, Australia, Canada, Iceland, Liechtenstein, Monaco, New Zealand, Norway, San Marino, Switzerland, USA and Vatican City. Non-western countries include all other countries.",,,Maternal ethnicity,,,False,,,,, +LifeCycle,core,hum_,average of mean relative humidity during first year (>0 year and <=1 year),,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,mean_relative_humidity,,,False,,,,, +LifeCycle,core,edu_f1_,Primary father figure's education level (age >-1 year and <1 year),,,1.0.0,,categorical,,,,,"Primary father figure's level of education based on the highest on-going or completed education within one year of birth. If more than one education level is reported within the defined time frame, use highest recorded education level. Classification according to International Standard Classification of Education 97/2011 (ISCED-97/2011) @@ -236,11 +193,11 @@ Medium: Upper secondary, Post-secondary non-tertiary (ISCED-2011: 3-4, ISCED-97: Low: No education; early childhood; pre-primary; primary; lower secondary or second stage of basic education. (ISCED-2011: 0-2, ISCED-97: 0-2) -Mapping tools for specific countries can be found here: http://uis.unesco.org/en/isced-mappings",,,Paternal education (core),, -ATHLETE_CDM,outcome_ath,mets_score_idefics_0,Continuous pediatric MetS score combining all components based on the IDEFICS z-scores,,,,,continuous,,,,,,,,,, -ATHLETE_CDM,outcome_ath,mri_age_0,"Exact age of the child (in years) when abdominal MRI (for visceral abdominal fat and hepatic fat-fraction) was measured e.g. for mrihff_0, mrihff_1, etc.",,,,,continuous,years,,,,,,,,, -LifeCycle_CDM,core,edu_f1_fath0,"Type of father, edu_f1_0",,,1.0.0,,categorical,,,,,"Variable indicating whether the education level recorded in edu_f1_0 is for the biological father, the social father/mother or whether this is unknown",,,Paternal education (core),, -LifeCycle_CDM,core,edu_f2_0,Secondary father figure's education level (age >-1 year and <1 year),,,1.0.0,,categorical,,,,,"Secondary father figure's level of education based on the highest on-going or completed education within one year of birth. If more than one education level is reported within the defined time frame, use highest recorded education level. +Mapping tools for specific countries can be found here: http://uis.unesco.org/en/isced-mappings",,,Paternal education (core),,,True,,0,,, +ATHLETE,outcome_ath,mets_score_idefics_,Continuous pediatric MetS score combining all components based on the IDEFICS z-scores,,,,,continuous,,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,mri_age_,"Exact age of the child (in years) when abdominal MRI (for visceral abdominal fat and hepatic fat-fraction) was measured e.g. for mrihff_0, mrihff_1, etc.",,,,,continuous,years,,,,,,,,,,False,,,,, +LifeCycle,core,edu_f1_fath,"Type of father, edu_f1_0",,,1.0.0,,categorical,,,,,"Variable indicating whether the education level recorded in edu_f1_0 is for the biological father, the social father/mother or whether this is unknown",,,Paternal education (core),,,True,,0,,, +LifeCycle,core,edu_f2_,Secondary father figure's education level (age >-1 year and <1 year),,,1.0.0,,categorical,,,,,"Secondary father figure's level of education based on the highest on-going or completed education within one year of birth. If more than one education level is reported within the defined time frame, use highest recorded education level. Classification according to International Standard Classification of Education 97/2011 (ISCED-97/2011) @@ -250,9 +207,9 @@ Medium: Upper secondary, Post-secondary non-tertiary (ISCED-2011: 3-4, ISCED-97: Low: No education; early childhood; pre-Secondary; Secondary; lower secondary or second stage of basic education. (ISCED-2011: 0-2, ISCED-97: 0-2) -Mapping tools for specific countries can be found here: http://uis.unesco.org/en/isced-mappings",,,Paternal education (core),, -LifeCycle_CDM,core,edu_f2_fath0,"Type of father, edu_f2_0",,,1.0.0,,categorical,,,,,"Variable indicating whether the education level recorded in variable edu_f2_0 is for the biological father, the social father/mother or whether this is unknown",,,Paternal education (core),, -LifeCycle_CDM,core,edu_m_0,Mother's education level (between >-1 year and <1 year),,,1.0.0,,categorical,,,,,"Level of education based on the highest on-going or completed education when the child was 0 year (between >-1 year and <1 year). If more than one education level is reported within the defined time frame, use highest recorded education level. +Mapping tools for specific countries can be found here: http://uis.unesco.org/en/isced-mappings",,,Paternal education (core),,,False,,,,, +LifeCycle,core,edu_f2_fath,"Type of father, edu_f2_0",,,1.0.0,,categorical,,,,,"Variable indicating whether the education level recorded in variable edu_f2_0 is for the biological father, the social father/mother or whether this is unknown",,,Paternal education (core),,,False,,,,, +LifeCycle,core,edu_m_,Mother's education level (between >-1 year and <1 year),,,1.0.0,,categorical,,,,,"Level of education based on the highest on-going or completed education when the child was 0 year (between >-1 year and <1 year). If more than one education level is reported within the defined time frame, use highest recorded education level. Classification according to International Standard Classification of Education 97/2011 (ISCED-97/2011) @@ -262,396 +219,375 @@ Medium: Upper secondary, Post-secondary non-tertiary (ISCED-2011: 3-4, ISCED-97: Low: No education; early childhood; pre-primary; primary; lower secondary or second stage of basic education. (ISCED-2011: 0-2, ISCED-97: 0-2) -Mapping tools for specific countries can be found here: http://uis.unesco.org/en/isced-mappings",,,Maternal education (core),, -LifeCycle_CDM,core,egg_pgn,Egg and egg products during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,egg_psc,Egg and egg products in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,egg_sch,Egg and egg products in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,fastfood_psc,Visiting fast food restaurant (2-4 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (Preschool),, -LifeCycle_CDM,core,ethn1_p,Father's (ethnic) background based on country of origin (of father's parents),,,1.0.0,,categorical,,,,,"Western countries include European Union, Andorra, Australia, Canada, Iceland, Liechtenstein, Monaco, New Zealand, Norway, San Marino, Switzerland, USA and Vatican City. Non-western countries include all other countries.",,,Paternal ethnicity,, -LifeCycle_CDM,core,ethn2_m,Ethnic background of mother based on colour,,,1.0.0,,categorical,,,,,,,,Maternal ethnicity,, -LifeCycle_CDM,core,ethn3_m,Best estimate of mother's ethnic background,,,1.0.0,,categorical,,,,,Best estimate of mother's ethnic background based on ethn1_m or ethn2_m and cohort's own discretion.,,,Maternal ethnicity,, -LifeCycle_CDM,core,ethn3_p,Best estimate of father's ethnic background,,,1.0.0,,categorical,,,,,Best estimate of father's ethnic background based on ethn1_p or ethn2_p and cohort's own discretion.,,,Paternal ethnicity,, -LifeCycle_CDM,core,ethn_p_fath,"Type of father, paternal ethnicity",,,1.0.0,,categorical,,,,,"Variable indicating whether the ethnicities recorded in variables ethn1_p, ethn2_p, ethn3_p are for the biological father, the social father/mother or whether this is unknown",,,Paternal ethnicity,, -LifeCycle_CDM,core,eusilc_income,Log-equivalised total disposable household income predicted using EUSILC data (task 3.1.1) at baseline,,,1.0.0,,continuous,,,,,"Log equivalised (according to family size and composition) total disposable household monthly income predicted using EUSILC data (task 3.1.1) at baseline (either during pregnancy, or at birth, or at recruitment). The prediction model, which is cohort-specific, has been run and validated (temporal validation 2011 vs 2015 data) on the Eurostat EUSILC data. The absolute value should be interpreted as the income that a family would have had in 2011. Please refer to the methodological paper (https://www.ncbi.nlm.nih.gov/pubmed/32150940) and to the subtask 3.1.1 analysis plan (https://intranet.concentris.de/api/file/7d1aa419-2f92-31b5-aeb1-705613d05bac/download) for further details.",,,EUSILC-based household income,, -LifeCycle_CDM,core,eusilc_income_quintiles,Quintiles of the log-equivalised total disposable household income predicted using EUSILC data (task 3.1.1) at baseline,,,1.0.0,,categorical,,,,,"Quintiles of the log equivalised (according to family size and composition) total disposable household monthly income predicted using EUSILC data (task 3.1.1) at baseline (either during pregnancy, or at birth, or at recruitment). Please refer to the methodological paper (https://www.ncbi.nlm.nih.gov/pubmed/32150940) and to the subtask 3.1.1 analysis plan (https://intranet.concentris.de/api/file/7d1aa419-2f92-31b5-aeb1-705613d05bac/download) for further details.",,,EUSILC-based household income,, -LifeCycle_CDM,core,fam_splitup0,Parent split up (age ≥0 to <1 year),,,1.0.0,,binary,,,,,Did the parents split up during the 1st year of child´s life (age range ≥0 to <1 year),,,Family split up,, -LifeCycle_CDM,core,famdinner_psc,Family dinner or dinner with at least one adult (2-4 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (Preschool),, -LifeCycle_CDM,core,famdinner_sch,Family dinner or dinner with at least one adult (5-8 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (School),, -LifeCycle_CDM,core,famsize_adult0,"Family size, adults (≥0 to <1 year)",,,1.0.0,,integer,unit,,,,"Total numbers of adults in the same household in 1st year of life (≥0 to <1 year), preferably from same time point as when hh income recorded",,,Family size,, -LifeCycle_CDM,core,famsize_child0,"Family size, children (≥0 to <1 year)",,,1.0.0,,integer,unit,,,,"Total number of children in the household under 18 years old including index child (all children: biological, half-siblings, adopted, fostered etc.); maximum recorded number of children in 1st year of life (≥0 to <1 year) +Mapping tools for specific countries can be found here: http://uis.unesco.org/en/isced-mappings",,,Maternal education (core),,,True,,0,,, +LifeCycle,core,egg_pgn,Egg and egg products during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,egg_psc,Egg and egg products in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,egg_sch,Egg and egg products in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,fastfood_psc,Visiting fast food restaurant (2-4 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (Preschool),,,False,,,,, +LifeCycle,core,ethn1_p,Father's (ethnic) background based on country of origin (of father's parents),,,1.0.0,,categorical,,,,,"Western countries include European Union, Andorra, Australia, Canada, Iceland, Liechtenstein, Monaco, New Zealand, Norway, San Marino, Switzerland, USA and Vatican City. Non-western countries include all other countries.",,,Paternal ethnicity,,,False,,,,, +LifeCycle,core,ethn2_m,Ethnic background of mother based on colour,,,1.0.0,,categorical,,,,,,,,Maternal ethnicity,,,False,,,,, +LifeCycle,core,ethn3_m,Best estimate of mother's ethnic background,,,1.0.0,,categorical,,,,,Best estimate of mother's ethnic background based on ethn1_m or ethn2_m and cohort's own discretion.,,,Maternal ethnicity,,,False,,,,, +LifeCycle,core,ethn3_p,Best estimate of father's ethnic background,,,1.0.0,,categorical,,,,,Best estimate of father's ethnic background based on ethn1_p or ethn2_p and cohort's own discretion.,,,Paternal ethnicity,,,False,,,,, +LifeCycle,core,ethn_p_fath,"Type of father, paternal ethnicity",,,1.0.0,,categorical,,,,,"Variable indicating whether the ethnicities recorded in variables ethn1_p, ethn2_p, ethn3_p are for the biological father, the social father/mother or whether this is unknown",,,Paternal ethnicity,,,False,,,,, +LifeCycle,core,eusilc_income,Log-equivalised total disposable household income predicted using EUSILC data (task 3.1.1) at baseline,,,1.0.0,,continuous,,,,,"Log equivalised (according to family size and composition) total disposable household monthly income predicted using EUSILC data (task 3.1.1) at baseline (either during pregnancy, or at birth, or at recruitment). The prediction model, which is cohort-specific, has been run and validated (temporal validation 2011 vs 2015 data) on the Eurostat EUSILC data. The absolute value should be interpreted as the income that a family would have had in 2011. Please refer to the methodological paper (https://www.ncbi.nlm.nih.gov/pubmed/32150940) and to the subtask 3.1.1 analysis plan (https://intranet.concentris.de/api/file/7d1aa419-2f92-31b5-aeb1-705613d05bac/download) for further details.",,,EUSILC-based household income,,,False,,,,, +LifeCycle,core,eusilc_income_quintiles,Quintiles of the log-equivalised total disposable household income predicted using EUSILC data (task 3.1.1) at baseline,,,1.0.0,,categorical,,,,,"Quintiles of the log equivalised (according to family size and composition) total disposable household monthly income predicted using EUSILC data (task 3.1.1) at baseline (either during pregnancy, or at birth, or at recruitment). Please refer to the methodological paper (https://www.ncbi.nlm.nih.gov/pubmed/32150940) and to the subtask 3.1.1 analysis plan (https://intranet.concentris.de/api/file/7d1aa419-2f92-31b5-aeb1-705613d05bac/download) for further details.",,,EUSILC-based household income,,,False,,,,, +LifeCycle,core,fam_splitup,Parent split up (age ≥0 to <1 year),,,1.0.0,,binary,,,,,Did the parents split up during the 1st year of child´s life (age range ≥0 to <1 year),,,Family split up,,,True,Trimester,0,3,, +LifeCycle,core,famdinner_psc,Family dinner or dinner with at least one adult (2-4 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (Preschool),,,False,,,,, +LifeCycle,core,famdinner_sch,Family dinner or dinner with at least one adult (5-8 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (School),,,False,,,,, +LifeCycle,core,famsize_adult,"Family size, adults (≥0 to <1 year)",,,1.0.0,,integer,unit,,,,"Total numbers of adults in the same household in 1st year of life (≥0 to <1 year), preferably from same time point as when hh income recorded",,,Family size,,,True,Trimester,0,3,, +LifeCycle,core,famsize_child,"Family size, children (≥0 to <1 year)",,,1.0.0,,integer,unit,,,,"Total number of children in the household under 18 years old including index child (all children: biological, half-siblings, adopted, fostered etc.); maximum recorded number of children in 1st year of life (≥0 to <1 year) If the cohort has a different definition for child (e.g. <14 years), harmonisation is still possible, the variable will be a partial match (this should be detailed under the match in the catalogue) -Household where the child lives the majority of the time",,,Family size,, -PELAGIE,BDD_creatinine,CHILDCREAT,Creatinine concentration in the urine of children at 6 years,,,1.0.0,,integer,mg/litre,,,,,,,,, -LifeCycle_CDM,core,fdensity300_0,number of facilities present within a buffer of 300 m at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,facilities_density,, -LifeCycle_CDM,core,fdensity300_preg,number of facilities present within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,facilities_density,, -LifeCycle_CDM,core,fdensity300_t1,number of facilities present within a buffer of 300 m at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,facilities_density,, -LifeCycle_CDM,core,ffish_pgn,Fatty Fish during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,ffish_psc,Fatty Fish in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,ffish_sch,Fatty Fish in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,fish_pgn,Fish and fish products during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,fish_psc,Fish and fish products in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,height_age0,"Exact age, height_0",,,1.0.0,,integer,day,,,,Exact age of the child (in days) when child's height was recorded for height_0,,,Child's height,, -LifeCycle_CDM,core,fish_sch,Fish and fish products in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,folic_post12,Folic acids >12 weeks.,,,1.0.0,,binary,,,,,"Intake of folic acids (folate, vitamin B9) after week 12 of pregnancy.",,,Folic acids supplementation,, -LifeCycle_CDM,core,folic_preg12,Folic acids 0-12 weeks,,,1.0.0,,binary,,,,,"Intake of folic acids (folate, vitamin B9) during the period from conception to early pregnancy (12 weeks)",,,Folic acids supplementation,, -LifeCycle_CDM,core,folic_prepreg,Folic acids before conception,,,1.0.0,,binary,,,,,"Intake of folic acids (folate, vitamin B9) before conception",,,Folic acids supplementation,, -LifeCycle_CDM,core,food_all_sens_IgE_0,"Food allergic sensitization, measured by specific IgE within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,kua_l,,,,"Were data are available, allergic sensitization should be measured by specific IgE. If this is not the case, and only total IgE is measured, the variable is partially harmonized",,,Any food allergic sensitization (IgE),, -LifeCycle_CDM,core,foodenvdens300_0,number of facilities related to unhealthy food divided by the area of the 300 meters buffer at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,unhealthy_facilities_density,, -LifeCycle_CDM,core,foodenvdens300_preg,number of facilities related to unhealthy food divided by the area of the 300 meters buffer at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,unhealthy_facilities_density,, -LifeCycle_CDM,core,foodenvdens300_t1,number of facilities related to unhealthy food divided by the area of the 300 meters buffer at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,unhealthy_facilities_density,, -LifeCycle_CDM,core,foodenvdensosm300_0,number of open street maps facilities related to unhealthy food divided by the area of the 300 meters buffer at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (OPEN STREET MAPS),,,unhealthy_facilities_density_osm,, -NFBC1966,core,age_mdg17,age_mdg17,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,core,foodenvdensosm300_preg,number of open street maps facilities related to unhealthy food divided by the area of the 300 meters buffer at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (OPEN STREET MAPS),,,unhealthy_facilities_density_osm,, -LifeCycle_CDM,core,foodenvdensosm300_t1,number of open street maps facilities related to unhealthy food divided by the area of the 300 meters buffer at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (OPEN STREET MAPS),,,unhealthy_facilities_density_osm,, -PELAGIE,BDD_creatinine,CREATININE_TOT,Creatinine concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,, -LifeCycle_CDM,core,frichness300_0,number of different facility types present divided by the maximum potential number of facility types within a buffer of 300 m at birth,,,1.0.0,,continuous,,,,,using the same source for all the cohorts (NAVTEQ),,,facilities_richness,, -LifeCycle_CDM,core,frichness300_preg,number of different facility types present divided by the maximum potential number of facility types within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,,,,,using the same source for all the cohorts (NAVTEQ),,,facilities_richness,, -LifeCycle_CDM,core,frichness300_t1,number of different facility types present divided by the maximum potential number of facility types within a buffer of 300 m at first trimester,,,1.0.0,,continuous,,,,,using the same source for all the cohorts (NAVTEQ),,,facilities_richness,, -LifeCycle_CDM,core,fruit_pgn,Fruits during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,fruit_psc,Fruits in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,fruit_sch,Fruits in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -ATHLETE_CDM,outcome_ath,homa_ir_0,Repeated HOMA-IR values,,,,,continuous,,,,,,,,,, -LifeCycle_CDM,core,ga_bj,Gestational age (best judgement),,,1.0.0,,integer,day,,,,"Best clinical judgement decided by cohorts estimating the most accurately measure of GA obtained within the cohort +Household where the child lives the majority of the time",,,Family size,,,True,Trimester,0,3,, +LifeCycle,core,fdensity300_,number of facilities present within a buffer of 300 m at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,facilities_density,,,False,,,,, +LifeCycle,core,fdensity300_preg,number of facilities present within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,facilities_density,,,False,,,,, +LifeCycle,core,fdensity300_t,number of facilities present within a buffer of 300 m at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,facilities_density,,,False,,,,, +LifeCycle,core,ffish_pgn,Fatty Fish during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,ffish_psc,Fatty Fish in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,ffish_sch,Fatty Fish in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,fish_pgn,Fish and fish products during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,fish_psc,Fish and fish products in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,height_age,"Exact age, height_0",,,1.0.0,,integer,day,,,,Exact age of the child (in days) when child's height was recorded for height_0,,,Child's height,,,True,Week,0,42,, +LifeCycle,core,fish_sch,Fish and fish products in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,folic_post,Folic acids >12 weeks.,,,1.0.0,,binary,,,,,"Intake of folic acids (folate, vitamin B9) after week 12 of pregnancy.",,,Folic acids supplementation,,,False,,,,, +LifeCycle,core,folic_preg,Folic acids 0-12 weeks,,,1.0.0,,binary,,,,,"Intake of folic acids (folate, vitamin B9) during the period from conception to early pregnancy (12 weeks)",,,Folic acids supplementation,,,False,,,,, +LifeCycle,core,folic_prepreg,Folic acids before conception,,,1.0.0,,binary,,,,,"Intake of folic acids (folate, vitamin B9) before conception",,,Folic acids supplementation,,,False,,,,, +LifeCycle,core,food_all_sens_IgE_,"Food allergic sensitization, measured by specific IgE within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,kua_l,,,,"Were data are available, allergic sensitization should be measured by specific IgE. If this is not the case, and only total IgE is measured, the variable is partially harmonized",,,Any food allergic sensitization (IgE),,,False,,,,, +LifeCycle,core,foodenvdens300_,number of facilities related to unhealthy food divided by the area of the 300 meters buffer at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,unhealthy_facilities_density,,,False,,,,, +LifeCycle,core,foodenvdens300_preg,number of facilities related to unhealthy food divided by the area of the 300 meters buffer at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,unhealthy_facilities_density,,,False,,,,, +LifeCycle,core,foodenvdens300_t,number of facilities related to unhealthy food divided by the area of the 300 meters buffer at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (NAVTEQ),,,unhealthy_facilities_density,,,False,,,,, +LifeCycle,core,foodenvdensosm300_,number of open street maps facilities related to unhealthy food divided by the area of the 300 meters buffer at birth,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (OPEN STREET MAPS),,,unhealthy_facilities_density_osm,,,False,,,,, +LifeCycle,core,foodenvdensosm300_preg,number of open street maps facilities related to unhealthy food divided by the area of the 300 meters buffer at pregnancy,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (OPEN STREET MAPS),,,unhealthy_facilities_density_osm,,,False,,,,, +LifeCycle,core,foodenvdensosm300_t,number of open street maps facilities related to unhealthy food divided by the area of the 300 meters buffer at first trimester,,,1.0.0,,continuous,number_per_square_kilometer,,,,using the same source for all the cohorts (OPEN STREET MAPS),,,unhealthy_facilities_density_osm,,,False,,,,, +LifeCycle,core,frichness300_,number of different facility types present divided by the maximum potential number of facility types within a buffer of 300 m at birth,,,1.0.0,,continuous,,,,,using the same source for all the cohorts (NAVTEQ),,,facilities_richness,,,False,,,,, +LifeCycle,core,frichness300_preg,number of different facility types present divided by the maximum potential number of facility types within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,,,,,using the same source for all the cohorts (NAVTEQ),,,facilities_richness,,,False,,,,, +LifeCycle,core,frichness300_t,number of different facility types present divided by the maximum potential number of facility types within a buffer of 300 m at first trimester,,,1.0.0,,continuous,,,,,using the same source for all the cohorts (NAVTEQ),,,facilities_richness,,,False,,,,, +LifeCycle,core,fruit_pgn,Fruits during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,fruit_psc,Fruits in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,fruit_sch,Fruits in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +ATHLETE,outcome_ath,homa_ir_,Repeated HOMA-IR values,,,,,continuous,,,,,,,,,,,False,,,,, +LifeCycle,core,ga_bj,Gestational age (best judgement),,,1.0.0,,integer,day,,,,"Best clinical judgement decided by cohorts estimating the most accurately measure of GA obtained within the cohort Priority: (ref: CHICOS) 1) Use LMP if difference from US is less than 7 days or if US is not available 2) Difference between LMP and US more than 7 days --> use US 3) If LMP is not available use US -4) Non of them available - use maternal report.",,,Gestational age,, -LifeCycle_CDM,core,ga_lmp,Gestational age (last menstrual period),,,1.0.0,,integer,day,,,,"Gestational age based on last menstrual period in days +4) Non of them available - use maternal report.",,,Gestational age,,,False,,,,, +LifeCycle,core,ga_lmp,Gestational age (last menstrual period),,,1.0.0,,integer,day,,,,"Gestational age based on last menstrual period in days If GA is reported in weeks then recalculate: floor(n (weeks) x 7 + 3.5) -Example: floor((40 weeks x 7) + 3.5) = 283",,,Gestational age,, -LifeCycle_CDM,core,ga_mr,Gestational age (maternal report),,,1.0.0,,integer,day,,,,"Gestational age based on maternal report +Example: floor((40 weeks x 7) + 3.5) = 283",,,Gestational age,,,False,,,,, +LifeCycle,core,ga_mr,Gestational age (maternal report),,,1.0.0,,integer,day,,,,"Gestational age based on maternal report If GA is reported in weeks then recalculate: floor(n (weeks) x 7 + 3.5) -Example: floor((40 weeks x 7) + 3.5) = 283",,,Gestational age,, -LifeCycle_CDM,core,ga_us,Gestational age (ultrasound),,,1.0.0,,integer,day,,,,"Gestational age based on ultrasound +Example: floor((40 weeks x 7) + 3.5) = 283",,,Gestational age,,,False,,,,, +LifeCycle,core,ga_us,Gestational age (ultrasound),,,1.0.0,,integer,day,,,,"Gestational age based on ultrasound If GA is reported in weeks then recalculate: floor(n (weeks) x 7 + 3.5) -Example: floor((40 weeks x 7) + 3.5) = 283",,,Gestational age,, -LifeCycle_CDM,core,grain_pgn,Grains and grain products during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,grain_psc,Grains and grain products in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,grain_sch,Grains and grain products in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,green_dist_0,"straight line distance to nearest green space > 5,000 m2 at birth",,,1.0.0,,continuous,meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_distance,, -LifeCycle_CDM,core,green_dist_preg,"straight line distance to nearest green space > 5,000 m2 at pregnancy",,,1.0.0,,continuous,meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_distance,, -LifeCycle_CDM,core,green_dist_t1,"straight line distance to nearest green space > 5,000 m2 at first trimester",,,1.0.0,,continuous,meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_distance,, -LifeCycle_CDM,core,green_size_0,"area of closest green space > 5,000m2 at birth",,,1.0.0,,continuous,square_meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_size,, -LifeCycle_CDM,core,green_size_preg,"area of closest green space > 5,000m2 at pregnancy",,,1.0.0,,continuous,square_meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_size,, -LifeCycle_CDM,core,green_size_t1,"area of closest green space > 5,000m2 at first trimester",,,1.0.0,,continuous,square_meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_size,, -PELAGIE,BDD_creatinine,SGURINEF,Gestational age at th etime of urine collection,,,1.0.0,,integer,week,,,,,,,,, -LifeCycle_CDM,core,greenyn300_0,"is there a green space > 5,000 m2 in a distance of 300 m? at birth",,,1.0.0,,binary,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_access,, -LifeCycle_CDM,core,greenyn300_preg,"is there a green space > 5,000 m2 in a distance of 300 m? at pregnancy",,,1.0.0,,binary,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_access,, -LifeCycle_CDM,core,greenyn300_t1,"is there a green space > 5,000 m2 in a distance of 300 m? at first trimester",,,1.0.0,,binary,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_access,, -LifeCycle_CDM,core,hdres_0,percentage of hdres (continuous urban fabric) land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_continuous_urban_fabric,, -LifeCycle_CDM,core,hdres_preg,percentage of hdres (continuous urban fabric) land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_continuous_urban_fabric,, -LifeCycle_CDM,core,hdres_t1,percentage of hdres (continuous urban fabric) land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_continuous_urban_fabric,, -LifeCycle_CDM,core,height_0,Child's height (0 and <1 month,,,1.0.0,,continuous,cm,,,,Child's height measured between the ages of 0 and <1 month. This does not include the child’s birth length,,,Child's height,, -LifeCycle_CDM,core,height_f1,"Paternal height, primary father",,,1.0.0,,continuous,cm,,,,"Primary/main father figure´s height reported in first paternal questionnaire - -Use measured height if available. -Note in the catalogue when it was recorded, i.e., which follow-up",,,Paternal height,, -LifeCycle_CDM,core,height_f1_fath,"Type of father, paternal height",,,1.0.0,,categorical,,,,,"Variable indicating whether the height recorded in height_f1 is for the biological father, the social father, or whether this is unknown",,,Paternal height,, -LifeCycle_CDM,core,height_m,Maternal height,,,1.0.0,,continuous,cm,,,,Use measured height if available,,,Maternal height,, -LifeCycle_CDM,core,height_mes_f1,"Height measurement, primary father",,,1.0.0,,categorical,,,,,Reported vs. measured paternal height (primary father),,,Paternal height,, -LifeCycle_CDM,core,height_mes_m,"Height measurement, mother",,,1.0.0,,binary,,,,,Reported vs. measured maternal height,,,Maternal height,, -LifeCycle_CDM,core,hhincome_0,Total yearly income of the household (age >-1 year and <1 year),,,1.0.0,,categorical,,,,,"Total yearly income of the household, within one year of birth (child aged between >-1 year and <1 year). Categorised into quartiles of low, medium-low, medium-high and high income levels based on national distribution of household yearly income +Example: floor((40 weeks x 7) + 3.5) = 283",,,Gestational age,,,False,,,,, +LifeCycle,core,grain_pgn,Grains and grain products during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,grain_psc,Grains and grain products in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,grain_sch,Grains and grain products in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,green_dist_,"straight line distance to nearest green space > 5,000 m2 at birth",,,1.0.0,,continuous,meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_distance,,,False,,,,, +LifeCycle,core,green_dist_preg,"straight line distance to nearest green space > 5,000 m2 at pregnancy",,,1.0.0,,continuous,meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_distance,,,False,,,,, +LifeCycle,core,green_dist_t,"straight line distance to nearest green space > 5,000 m2 at first trimester",,,1.0.0,,continuous,meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_distance,,,False,,,,, +LifeCycle,core,green_size_,"area of closest green space > 5,000m2 at birth",,,1.0.0,,continuous,square_meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_size,,,False,,,,, +LifeCycle,core,green_size_preg,"area of closest green space > 5,000m2 at pregnancy",,,1.0.0,,continuous,square_meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_size,,,False,,,,, +LifeCycle,core,green_size_t,"area of closest green space > 5,000m2 at first trimester",,,1.0.0,,continuous,square_meter,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_size,,,False,,,,, +LifeCycle,core,greenyn300_,"is there a green space > 5,000 m2 in a distance of 300 m? at birth",,,1.0.0,,binary,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_access,,,False,,,,, +LifeCycle,core,greenyn300_preg,"is there a green space > 5,000 m2 in a distance of 300 m? at pregnancy",,,1.0.0,,binary,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_access,,,False,,,,, +LifeCycle,core,greenyn300_t,"is there a green space > 5,000 m2 in a distance of 300 m? at first trimester",,,1.0.0,,binary,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,green_access,,,False,,,,, +LifeCycle,core,hdres_,percentage of hdres (continuous urban fabric) land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_continuous_urban_fabric,,,False,,,,, +LifeCycle,core,hdres_preg,percentage of hdres (continuous urban fabric) land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_continuous_urban_fabric,,,False,,,,, +LifeCycle,core,hdres_t,percentage of hdres (continuous urban fabric) land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_continuous_urban_fabric,,,False,,,,, +LifeCycle,core,height_f1_fath,"Type of father, paternal height",,,1.0.0,,categorical,,,,,"Variable indicating whether the height recorded in height_f1 is for the biological father, the social father, or whether this is unknown",,,Paternal height,,,False,,,,, +LifeCycle,core,height_m,Maternal height,,,1.0.0,,continuous,cm,,,,Use measured height if available,,,Maternal height,,,False,,,,, +LifeCycle,core,height_mes_f,"Height measurement, primary father",,,1.0.0,,categorical,,,,,Reported vs. measured paternal height (primary father),,,Paternal height,,,False,,,,, +LifeCycle,core,height_mes_m,"Height measurement, mother",,,1.0.0,,binary,,,,,Reported vs. measured maternal height,,,Maternal height,,,False,,,,, +LifeCycle,core,hhincome_,Total yearly income of the household (age >-1 year and <1 year),,,1.0.0,,categorical,,,,,"Total yearly income of the household, within one year of birth (child aged between >-1 year and <1 year). Categorised into quartiles of low, medium-low, medium-high and high income levels based on national distribution of household yearly income If more than household income is recorded within the defined time frame, use highest recorded household income. -Income will be categorised into quartiles (low, medium-low, medium-high, high) based on national distribution of household incomes in the year of follow-up.",,,Household income,, -LifeCycle_CDM,core,hmax_1,average of maximum relative humidity during first year (>0 year and <=1 year),,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,maximum_relative_humidity,, -LifeCycle_CDM,core,hmax_preg,average of maximum relative humidity during pregnancy,,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,maximum_relative_humidity,, -LifeCycle_CDM,core,hmax_t1,average of maximum relative humidity during first trimester,,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,maximum_relative_humidity,, -LifeCycle_CDM,core,hmin_1,average of minimum relative humidity during first year (>0 year and <=1 year),,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,minimum_relative_humidity,, -LifeCycle_CDM,core,hmin_preg,average of minimum relative humidity during pregnancy,,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,minimum_relative_humidity,, -LifeCycle_CDM,core,hmin_t1,average of minimum relative humidity during first trimester,,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,minimum_relative_humidity,, -LifeCycle_CDM,core,hum_preg,average of mean relative humidity during pregnancy,,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,mean_relative_humidity,, -LifeCycle_CDM,core,hum_t1,average of mean relative humidity during first trimester,,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,mean_relative_humidity,, -LifeCycle_CDM,core,indtr_0,"percentage of indtr (industrial, commercial, public, military and private units) land use within a buffer of 300 m at birth",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_industrial,, -LifeCycle_CDM,core,indtr_preg,"percentage of indtr (industrial, commercial, public, military and private units) land use within a buffer of 300 m at pregnancy",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_continuous_urban_fabric,, -LifeCycle_CDM,core,indtr_t1,"percentage of indtr (industrial, commercial, public, military and private units) land use within a buffer of 300 m at first trimester",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_industrial,, -LifeCycle_CDM,core,inh_all_sens_IgE_0,"Inhalant allergic sensitization, measured by specific IgE within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,kua_l,,,,"Were data are available, allergic sensitization should be measured by specific IgE. If this is not the case, and only total IgE is measured, the variable is partially harmonized",,,Any inhalant allergic sensitization (IgE),, -NFBC1966,core,age_fdg30,age_fdg30,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,core,ln_c_t1,categorized night level at first trimester,,,1.0.0,,categorical,,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,ln_categorical,, -LifeCycle_CDM,core,inh_all_sens_SPT_0,"Inhalant allergic sensitization, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Any inhalant allergic sensitization (Skin prick test),, -LifeCycle_CDM,core,inhalant_all_sens_SPT_0,"Inhalant allergic sensitization, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Any inhalant allergic sensitization (Skin prick test),, -LifeCycle_CDM,core,ivf,In vitro-fertilisation,,,1.0.0,,binary,,,,,Did the mother become pregnant using IVF or ICSI,,,Fertility treatment,, -LifeCycle_CDM,core,kcal_pgn,Total Daily Kcal intake during pregnancy,,,1.0.0,,continuous,Kcal_per_day,,,,,,,Nutrients (M),, -LifeCycle_CDM,core,kcal_psc,Daily Kcal intake in preschool age (2-4 years),,,1.0.0,,continuous,Kcal_per_day,,,,,,,Nutrients (Preschool),, -LifeCycle_CDM,core,kcal_sch,Daily Kcal intake in school-age children (5-8 years),,,1.0.0,,continuous,Kcal_per_day,,,,,,,Nutrients (School),, -LifeCycle_CDM,core,landuseshan300_0,landuse Shannon's Evenness Index within a buffer of 300 m at birth,,,1.0.0,,continuous,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,land_use_mix,, -LifeCycle_CDM,core,landuseshan300_preg,landuse Shannon's Evenness Index within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,land_use_mix,, -LifeCycle_CDM,core,landuseshan300_t1,landuse Shannon's Evenness Index within a buffer of 300 m at first trimester,,,1.0.0,,continuous,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,land_use_mix,, -LifeCycle_CDM,core,latepreg_weight,Late pregnancy weight,,,1.0.0,,continuous,kg,,,,"Latest measurement of weight before delivery. Use measured weight if available - -If a pregnancy weight within one week of delivery is not available, a late pregnancy weight, closest to delivery from 32 weeks gestation is acceptable. This will be partial harmonisation.",,,Maternal weight,, -LifeCycle_CDM,core,latepreg_weight_ga,Late pregnancy weight gestational age,,,1.0.0,,integer,day,,,,Gestational age when late-pregnancy weight measured,,,Maternal weight,, -LifeCycle_CDM,core,latepreg_weight_mes,Late pregnancy weight measurement,,,1.0.0,,binary,,,,,Reported vs. measured late-pregnancy weight,,,Maternal weight,, -LifeCycle_CDM,core,lden_0,day-evening-night level at birth,,,1.0.0,,continuous,A_weighted_decibel,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,lden,, -LifeCycle_CDM,core,nffish_sch,Non Fatty Fish in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,lden_c_0,categorized day-evening-night level at birth,,,1.0.0,,categorical,,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,lden_categorical,, -LifeCycle_CDM,core,lden_c_preg,categorized day-evening-night level at pregnancy,,,1.0.0,,categorical,,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,lden_categorical,, -LifeCycle_CDM,core,lden_c_t1,categorized day-evening-night level at first trimester,,,1.0.0,,categorical,,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,lden_categorical,, -LifeCycle_CDM,core,lden_preg,day-evening-night level at pregnancy,,,1.0.0,,continuous,A_weighted_decibel,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,lden,, -LifeCycle_CDM,core,lden_t1,day-evening-night level at first trimester,,,1.0.0,,continuous,A_weighted_decibel,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,lden,, -LifeCycle_CDM,core,ldres_0,percentage of ldres (discontinuous dense/medium density/low density urban fabric) land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_medium_urban_fabric,, -LifeCycle_CDM,core,ldres_preg,percentage of ldres (discontinuous dense/medium density/low density urban fabric) land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_industrial,, -LifeCycle_CDM,core,ldres_t1,percentage of ldres (discontinuous dense/medium density/low density urban fabric) land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_medium_urban_fabric,, -LifeCycle_CDM,core,lfdairy_pgn,Low fat dairy during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,lfdairy_psc,Low fat dairy in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,lfdairy_sch,Low fat dairy in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,outdoorp_psc,"Child’s outdoor play duration in h /day, at preschool age",,,1.0.0,,continuous,hours_per_day,,,,,,,Preschool outdoor play,, -LifeCycle_CDM,core,ln_preg,night level at pregnancy,,,1.0.0,,continuous,A_weighted_decibel,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,ln,, -LifeCycle_CDM,core,ln_t1,night level at first trimester,,,1.0.0,,continuous,A_weighted_decibel,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,ln,, -LifeCycle_CDM,core,lst_1,land surface temperature during first year (>0 year and <=1 year),,,1.0.0,,continuous,degree_celsius,,,,using satellite imagery,,,land_surface_temperature,, -LifeCycle_CDM,core,lst_preg,land surface temperature during pregnancy,,,1.0.0,,continuous,degree_celsius,,,,using satellite imagery,,,land_surface_temperature,, -LifeCycle_CDM,core,lst_t1,land surface temperature during first trimester,,,1.0.0,,continuous,degree_celsius,,,,using satellite imagery,,,land_surface_temperature,, -LifeCycle_CDM,core,mainmeal_psc,Main meals frequency per day (2-4 years),,,1.0.0,,continuous,times_per_day,,,,,,,Dietary behavior (Preschool),, -LifeCycle_CDM,core,mainmeal_sch,Main meals frequency per day (5-8 years),,,1.0.0,,continuous,times_per_day,,,,,,,Dietary behavior (School),, -LifeCycle_CDM,core,major_con_anomalies,Major congenital anomalies,,,1.0.0,,binary,,,,,"According to EUROCAT guide 1.4 for all births from 1st January 2013 (http://www.eurocat-network.eu/content/Full%20Guide%201%204%20version%2008_Sept2017.pdf); EUROCAT guide 1.3 for births between 1st January 2005 and 31st December 2012 (http://www.eurocat-network.eu/content/EUROCAT-Guide-1.3.pdf); EUROCAT guide 1.2 for births up to 31st December 2004 (http://www.eurocat-network.eu/content/EUROCAT-Guide-1.2.pdf). - -Diagnosed within the 1st year of life",,,Congenital anomalies,, -LifeCycle_CDM,core,mar,Medically Assisted Reproduction,,,1.0.0,,binary,,,,,"MAR (medically assisted reproduction) refers to reproduction brought about through various interventions, procedures, surgeries and technologies to treat different forms of fertility impairment and infertility. These include ovulation induction, ovarian stimulation, ovulation triggering, all ART procedures (interventions that include the in vitro handling of both human oocytes and sperm or of embryos for the purpose of reproduction), uterine transplantation and intra-uterine, intracervical and intravaginal insemination with semen of husband/partner or donor.",,,Fertility treatment,, -LifeCycle_CDM,core,mdist_1,distance to meteorological station during first year (>0 year and <=1 year),,,1.0.0,,continuous,meter,,,,using local meteorologic stations,,,meteo_distance,, -LifeCycle_CDM,core,mdist_preg,distance to meteorological station during pregnancy,,,1.0.0,,continuous,meter,,,,using local meteorologic stations,,,meteo_distance,, -LifeCycle_CDM,core,mdist_t1,distance to meteorological station during first trimester,,,1.0.0,,continuous,meter,,,,using local meteorologic stations,,,meteo_distance,, -LifeCycle_CDM,core,meat_pgn,Meat and meat products during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,meat_psc,Meat and meat products in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,meat_sch,Meat and meat products in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,mental_exp0,Mental disorder exposure (age ≥0 to <1year),,,1.0.0,,binary,,,,,"Any exposure to relatives with mental disorders (mother, biological father, social father, or any individuals close to the child) from birth up to 1st birthday (age range ≥0 to <1year)",,,Family mental health,, -LifeCycle_CDM,core,outdoorpage_psc,Exact age at outdoor play (outdoorp_psc) data collection in years,,,1.0.0,,continuous,year,,,,"When available, we took the questionnaire return date.",,,Preschool outdoor play,, -LifeCycle_CDM,core,miggen_child,Child's migrant status,,,1.0.0,,categorical,,,,,"“1st generation”: cohort member is born abroad; +Income will be categorised into quartiles (low, medium-low, medium-high, high) based on national distribution of household incomes in the year of follow-up.",,,Household income,,,False,,,,, +LifeCycle,core,hmax_,average of maximum relative humidity during first year (>0 year and <=1 year),,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,maximum_relative_humidity,,,False,,,,, +LifeCycle,core,hmax_preg,average of maximum relative humidity during pregnancy,,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,maximum_relative_humidity,,,False,,,,, +LifeCycle,core,hmax_t,average of maximum relative humidity during first trimester,,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,maximum_relative_humidity,,,False,,,,, +LifeCycle,core,hmin_,average of minimum relative humidity during first year (>0 year and <=1 year),,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,minimum_relative_humidity,,,False,,,,, +LifeCycle,core,hmin_preg,average of minimum relative humidity during pregnancy,,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,minimum_relative_humidity,,,False,,,,, +LifeCycle,core,hmin_t,average of minimum relative humidity during first trimester,,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,minimum_relative_humidity,,,False,,,,, +LifeCycle,core,hum_preg,average of mean relative humidity during pregnancy,,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,mean_relative_humidity,,,False,,,,, +LifeCycle,core,hum_t,average of mean relative humidity during first trimester,,,1.0.0,,continuous,percent,,,,using local meteorologic stations,,,mean_relative_humidity,,,False,,,,, +LifeCycle,core,indtr_,"percentage of indtr (industrial, commercial, public, military and private units) land use within a buffer of 300 m at birth",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_industrial,,,False,,,,, +LifeCycle,core,indtr_preg,"percentage of indtr (industrial, commercial, public, military and private units) land use within a buffer of 300 m at pregnancy",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_continuous_urban_fabric,,,False,,,,, +LifeCycle,core,indtr_t,"percentage of indtr (industrial, commercial, public, military and private units) land use within a buffer of 300 m at first trimester",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_industrial,,,False,,,,, +LifeCycle,core,inh_all_sens_IgE_,"Inhalant allergic sensitization, measured by specific IgE within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,kua_l,,,,"Were data are available, allergic sensitization should be measured by specific IgE. If this is not the case, and only total IgE is measured, the variable is partially harmonized",,,Any inhalant allergic sensitization (IgE),,,False,,,,, +LifeCycle,core,ln_c_t,categorized night level at first trimester,,,1.0.0,,categorical,,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,ln_categorical,,,False,,,,, +LifeCycle,core,inh_all_sens_SPT_,"Inhalant allergic sensitization, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Any inhalant allergic sensitization (Skin prick test),,,False,,,,, +LifeCycle,core,inhalant_all_sens_SPT_,"Inhalant allergic sensitization, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Any inhalant allergic sensitization (Skin prick test),,,False,,,,, +LifeCycle,core,ivf,In vitro-fertilisation,,,1.0.0,,binary,,,,,Did the mother become pregnant using IVF or ICSI,,,Fertility treatment,,,False,,,,, +LifeCycle,core,kcal_pgn,Total Daily Kcal intake during pregnancy,,,1.0.0,,continuous,Kcal_per_day,,,,,,,Nutrients (M),,,False,,,,, +LifeCycle,core,kcal_psc,Daily Kcal intake in preschool age (2-4 years),,,1.0.0,,continuous,Kcal_per_day,,,,,,,Nutrients (Preschool),,,False,,,,, +LifeCycle,core,kcal_sch,Daily Kcal intake in school-age children (5-8 years),,,1.0.0,,continuous,Kcal_per_day,,,,,,,Nutrients (School),,,False,,,,, +LifeCycle,core,landuseshan300_,landuse Shannon's Evenness Index within a buffer of 300 m at birth,,,1.0.0,,continuous,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,land_use_mix,,,False,,,,, +LifeCycle,core,landuseshan300_preg,landuse Shannon's Evenness Index within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,land_use_mix,,,False,,,,, +LifeCycle,core,landuseshan300_t,landuse Shannon's Evenness Index within a buffer of 300 m at first trimester,,,1.0.0,,continuous,,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,land_use_mix,,,False,,,,, +LifeCycle,core,latepreg_weight,Late pregnancy weight,,,1.0.0,,continuous,kg,,,,"Latest measurement of weight before delivery. Use measured weight if available + +If a pregnancy weight within one week of delivery is not available, a late pregnancy weight, closest to delivery from 32 weeks gestation is acceptable. This will be partial harmonisation.",,,Maternal weight,,,False,,,,, +LifeCycle,core,latepreg_weight_ga,Late pregnancy weight gestational age,,,1.0.0,,integer,day,,,,Gestational age when late-pregnancy weight measured,,,Maternal weight,,,False,,,,, +LifeCycle,core,latepreg_weight_mes,Late pregnancy weight measurement,,,1.0.0,,binary,,,,,Reported vs. measured late-pregnancy weight,,,Maternal weight,,,False,,,,, +LifeCycle,core,lden_,day-evening-night level at birth,,,1.0.0,,continuous,A_weighted_decibel,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,lden,,,False,,,,, +LifeCycle,core,nffish_sch,Non Fatty Fish in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,lden_c_,categorized day-evening-night level at birth,,,1.0.0,,categorical,,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,lden_categorical,,,False,,,,, +LifeCycle,core,lden_c_preg,categorized day-evening-night level at pregnancy,,,1.0.0,,categorical,,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,lden_categorical,,,False,,,,, +LifeCycle,core,lden_c_t,categorized day-evening-night level at first trimester,,,1.0.0,,categorical,,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,lden_categorical,,,False,,,,, +LifeCycle,core,lden_preg,day-evening-night level at pregnancy,,,1.0.0,,continuous,A_weighted_decibel,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,lden,,,False,,,,, +LifeCycle,core,lden_t,day-evening-night level at first trimester,,,1.0.0,,continuous,A_weighted_decibel,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,lden,,,False,,,,, +LifeCycle,core,ldres_,percentage of ldres (discontinuous dense/medium density/low density urban fabric) land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_medium_urban_fabric,,,False,,,,, +LifeCycle,core,ldres_preg,percentage of ldres (discontinuous dense/medium density/low density urban fabric) land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_industrial,,,False,,,,, +LifeCycle,core,ldres_t,percentage of ldres (discontinuous dense/medium density/low density urban fabric) land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_medium_urban_fabric,,,False,,,,, +LifeCycle,core,lfdairy_pgn,Low fat dairy during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,lfdairy_psc,Low fat dairy in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,lfdairy_sch,Low fat dairy in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,outdoorp_psc,"Child’s outdoor play duration in h /day, at preschool age",,,1.0.0,,continuous,hours_per_day,,,,,,,Preschool outdoor play,,,False,,,,, +LifeCycle,core,ln_preg,night level at pregnancy,,,1.0.0,,continuous,A_weighted_decibel,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,ln,,,False,,,,, +LifeCycle,core,ln_t,night level at first trimester,,,1.0.0,,continuous,A_weighted_decibel,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,ln,,,False,,,,, +LifeCycle,core,lst_,land surface temperature during first year (>0 year and <=1 year),,,1.0.0,,continuous,degree_celsius,,,,using satellite imagery,,,land_surface_temperature,,,False,,,,, +LifeCycle,core,lst_preg,land surface temperature during pregnancy,,,1.0.0,,continuous,degree_celsius,,,,using satellite imagery,,,land_surface_temperature,,,False,,,,, +LifeCycle,core,lst_t,land surface temperature during first trimester,,,1.0.0,,continuous,degree_celsius,,,,using satellite imagery,,,land_surface_temperature,,,False,,,,, +LifeCycle,core,mainmeal_psc,Main meals frequency per day (2-4 years),,,1.0.0,,continuous,times_per_day,,,,,,,Dietary behavior (Preschool),,,False,,,,, +LifeCycle,core,mainmeal_sch,Main meals frequency per day (5-8 years),,,1.0.0,,continuous,times_per_day,,,,,,,Dietary behavior (School),,,False,,,,, +LifeCycle,core,major_con_anomalies,Major congenital anomalies,,,1.0.0,,binary,,,,,"According to EUROCAT guide 1.4 for all births from 1st January 2013 (http://www.eurocat-network.eu/content/Full%20Guide%201%204%20version%2008_Sept2017.pdf); EUROCAT guide 1.3 for births between 1st January 2005 and 31st December 2012 (http://www.eurocat-network.eu/content/EUROCAT-Guide-1.3.pdf); EUROCAT guide 1.2 for births up to 31st December 2004 (http://www.eurocat-network.eu/content/EUROCAT-Guide-1.2.pdf). + +Diagnosed within the 1st year of life",,,Congenital anomalies,,,False,,,,, +LifeCycle,core,mar,Medically Assisted Reproduction,,,1.0.0,,binary,,,,,"MAR (medically assisted reproduction) refers to reproduction brought about through various interventions, procedures, surgeries and technologies to treat different forms of fertility impairment and infertility. These include ovulation induction, ovarian stimulation, ovulation triggering, all ART procedures (interventions that include the in vitro handling of both human oocytes and sperm or of embryos for the purpose of reproduction), uterine transplantation and intra-uterine, intracervical and intravaginal insemination with semen of husband/partner or donor.",,,Fertility treatment,,,False,,,,, +LifeCycle,core,mdist_,distance to meteorological station during first year (>0 year and <=1 year),,,1.0.0,,continuous,meter,,,,using local meteorologic stations,,,meteo_distance,,,False,,,,, +LifeCycle,core,mdist_preg,distance to meteorological station during pregnancy,,,1.0.0,,continuous,meter,,,,using local meteorologic stations,,,meteo_distance,,,False,,,,, +LifeCycle,core,mdist_t,distance to meteorological station during first trimester,,,1.0.0,,continuous,meter,,,,using local meteorologic stations,,,meteo_distance,,,False,,,,, +LifeCycle,core,meat_pgn,Meat and meat products during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,meat_psc,Meat and meat products in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,meat_sch,Meat and meat products in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,mental_exp,Mental disorder exposure (age ≥0 to <1year),,,1.0.0,,binary,,,,,"Any exposure to relatives with mental disorders (mother, biological father, social father, or any individuals close to the child) from birth up to 1st birthday (age range ≥0 to <1year)",,,Family mental health,,,True,Year,0,21,, +LifeCycle,core,outdoorpage_psc,Exact age at outdoor play (outdoorp_psc) data collection in years,,,1.0.0,,continuous,year,,,,"When available, we took the questionnaire return date.",,,Preschool outdoor play,,,False,,,,, +LifeCycle,core,miggen_child,Child's migrant status,,,1.0.0,,categorical,,,,,"“1st generation”: cohort member is born abroad; “2nd generation”: cohort member is born in the host country, both parents are born abroad; “2.5 generation – mother”: cohort member born in the host country, father born in the host country, mother born abroad; “2.5 generation – father”: cohort member born in the host country, mother born in the host country, father born abroad -“Natives”: cohort member is born in the host country; both parents born in the host country",,,Child's country of birth,, -LifeCycle_CDM,core,mode_delivery,Mode of delivery,,,1.0.0,,categorical,,,,,"Complete match achieved when data on all categories are available, otherwise the match is partial.",,,Mode of delivery,, -LifeCycle_CDM,core,mother_id,Unique identifier number for the mother,,,1.0.0,,integer,,,,,Either original id or new id generated by the cohort,,,Mother id,, -LifeCycle_CDM,core,na_pgn,Sodium intake during pregnancy,,,1.0.0,,continuous,milligram_per_day,,,,,,,Nutrients (M),, -LifeCycle_CDM,core,na_psc,Sodium intake in preschool age (2-4 years),,,1.0.0,,continuous,milligram_per_day,,,,,,,Nutrients (Preschool),, -LifeCycle_CDM,core,na_sch,Sodium intake in school-age children (5-8 years),,,1.0.0,,continuous,milligram_per_day,,,,,,,Nutrients (School),, -LifeCycle_CDM,core,natgr_0,percentage of natgr (forests) land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_forests,, -LifeCycle_CDM,core,natgr_preg,percentage of natgr (forests) land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_medium_urban_fabric,, -LifeCycle_CDM,core,natgr_t1,percentage of natgr (forests) land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_forests,, -LifeCycle_CDM,outcome,eczema_ever,Ever doctor-diagnosis of eczema,,,1.0.0,,binary,,,,,"Where data are available, eczema should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Eczema,, -LifeCycle_CDM,core,ndvi100_0,average of NDVI values within a buffer of 100 m at birth,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi100,, -LifeCycle_CDM,core,ndvi100_preg,average of NDVI values within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi100,, -LifeCycle_CDM,core,ndvi100_t1,average of NDVI values within a buffer of 100 m at first trimester,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi100,, -LifeCycle_CDM,core,ndvi300_0,average of NDVI values within a buffer of 300 m at birth,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi300,, -LifeCycle_CDM,core,ndvi300_preg,average of NDVI values within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi300,, -LifeCycle_CDM,core,ndvi300_t1,average of NDVI values within a buffer of 300 m at first trimester,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi300,, -LifeCycle_CDM,core,ndvi500_0,average of NDVI values within a buffer of 500 m at birth,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi500,, -LifeCycle_CDM,core,ndvi500_preg,average of NDVI values within a buffer of 500 m at pregnancy,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi500,, -LifeCycle_CDM,core,ndvi500_t1,average of NDVI values within a buffer of 500 m at first trimester,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi500,, -LifeCycle_CDM,core,neo_unit,Transferred to neonatal unit,,,1.0.0,,binary,,,,,Any transfer to a neonatal unit within the first week of life,,,Transferred to neonatal unit,, -LifeCycle_CDM,core,nffish_pgn,Non Fatty Fish during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,nffish_psc,Non Fatty Fish in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,no2_1,no2 average value (extrapolated back in time using ratio method) during first year (>0 year and <=1 year),,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for ALSPAC, DNBC, NINFEA FIRENZE, PICCOLIPIÙ FIRENZE, that has been used ELAPSE models",,,no2,, -LifeCycle_CDM,core,no2_preg,no2 average value (extrapolated back in time using ratio method) during pregnancy,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for ALSPAC, DNBC, NINFEA FIRENZE, PICCOLIPIÙ FIRENZE, that has been used ELAPSE models",,,no2,, -LifeCycle_CDM,core,no2_t1,no2 average value (extrapolated back in time using ratio method) during first trimester,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for ALSPAC, DNBC, NINFEA FIRENZE, PICCOLIPIÙ FIRENZE, that has been used ELAPSE models",,,no2,, -LifeCycle_CDM,core,noise_dist_0,straight distance to the nearest road with noise level at birth,,,1.0.0,,continuous,meter,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,distance (noise),, -LifeCycle_CDM,core,noise_dist_preg,straight distance to the nearest road with noise level at pregnancy,,,1.0.0,,continuous,meter,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,distance (noise),, -LifeCycle_CDM,core,noise_dist_t1,straight distance to the nearest road with noise level at first trimester,,,1.0.0,,continuous,meter,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,distance (noise),, -LifeCycle_CDM,core,nox_1,nox average value (extrapolated back in time using ratio method) during first year (>0 year and <=1 year),,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,nox,, -LifeCycle_CDM,core,nox_preg,nox average value (extrapolated back in time using ratio method) during pregnancy,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,nox,, -LifeCycle_CDM,core,nox_t1,nox average value (extrapolated back in time using ratio method) during first trimester,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,nox,, -LifeCycle_CDM,core,occup_f1_0,"Paternal occupational status, primary father (>-1 year and <1 year)",,,1.0.0,,categorical,,,,,"Occupational status of primary/main father-figure within one year of birth (>-1 year and <1 year) +“Natives”: cohort member is born in the host country; both parents born in the host country",,,Child's country of birth,,,False,,,,, +LifeCycle,core,mode_delivery,Mode of delivery,,,1.0.0,,categorical,,,,,"Complete match achieved when data on all categories are available, otherwise the match is partial.",,,Mode of delivery,,,False,,,,, +LifeCycle,core,mother_id,Unique identifier number for the mother,,,1.0.0,,integer,,,,,Either original id or new id generated by the cohort,,,Mother id,,,False,,,,, +LifeCycle,core,na_pgn,Sodium intake during pregnancy,,,1.0.0,,continuous,milligram_per_day,,,,,,,Nutrients (M),,,False,,,,, +LifeCycle,core,na_psc,Sodium intake in preschool age (2-4 years),,,1.0.0,,continuous,milligram_per_day,,,,,,,Nutrients (Preschool),,,False,,,,, +LifeCycle,core,na_sch,Sodium intake in school-age children (5-8 years),,,1.0.0,,continuous,milligram_per_day,,,,,,,Nutrients (School),,,False,,,,, +LifeCycle,core,natgr_,percentage of natgr (forests) land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_forests,,,False,,,,, +LifeCycle,core,natgr_preg,percentage of natgr (forests) land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_medium_urban_fabric,,,False,,,,, +LifeCycle,core,natgr_t,percentage of natgr (forests) land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_forests,,,False,,,,, +LifeCycle,outcome,eczema_ever,Ever doctor-diagnosis of eczema,,,1.0.0,,binary,,,,,"Where data are available, eczema should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Eczema,,,False,,,,, +LifeCycle,core,ndvi100_,average of NDVI values within a buffer of 100 m at birth,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi100,,,False,,,,, +LifeCycle,core,ndvi100_preg,average of NDVI values within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi100,,,False,,,,, +LifeCycle,core,ndvi100_t,average of NDVI values within a buffer of 100 m at first trimester,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi100,,,False,,,,, +LifeCycle,core,ndvi300_,average of NDVI values within a buffer of 300 m at birth,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi300,,,False,,,,, +LifeCycle,core,ndvi300_preg,average of NDVI values within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi300,,,False,,,,, +LifeCycle,core,ndvi300_t,average of NDVI values within a buffer of 300 m at first trimester,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi300,,,False,,,,, +LifeCycle,core,ndvi500_,average of NDVI values within a buffer of 500 m at birth,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi500,,,False,,,,, +LifeCycle,core,ndvi500_preg,average of NDVI values within a buffer of 500 m at pregnancy,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi500,,,False,,,,, +LifeCycle,core,ndvi500_t,average of NDVI values within a buffer of 500 m at first trimester,,,1.0.0,,continuous,ndvi_value,,,,using the same source for all the cohorts (LANDSAT),,,ndvi500,,,False,,,,, +LifeCycle,core,neo_unit,Transferred to neonatal unit,,,1.0.0,,binary,,,,,Any transfer to a neonatal unit within the first week of life,,,Transferred to neonatal unit,,,False,,,,, +LifeCycle,core,nffish_pgn,Non Fatty Fish during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,nffish_psc,Non Fatty Fish in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,no2_,no2 average value (extrapolated back in time using ratio method) during first year (>0 year and <=1 year),,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for ALSPAC, DNBC, NINFEA FIRENZE, PICCOLIPIÙ FIRENZE, that has been used ELAPSE models",,,no2,,,False,,,,, +LifeCycle,core,no2_preg,no2 average value (extrapolated back in time using ratio method) during pregnancy,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for ALSPAC, DNBC, NINFEA FIRENZE, PICCOLIPIÙ FIRENZE, that has been used ELAPSE models",,,no2,,,False,,,,, +LifeCycle,core,no2_t,no2 average value (extrapolated back in time using ratio method) during first trimester,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for ALSPAC, DNBC, NINFEA FIRENZE, PICCOLIPIÙ FIRENZE, that has been used ELAPSE models",,,no2,,,False,,,,, +LifeCycle,core,noise_dist_,straight distance to the nearest road with noise level at birth,,,1.0.0,,continuous,meter,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,distance (noise),,,False,,,,, +LifeCycle,core,noise_dist_preg,straight distance to the nearest road with noise level at pregnancy,,,1.0.0,,continuous,meter,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,distance (noise),,,False,,,,, +LifeCycle,core,noise_dist_t,straight distance to the nearest road with noise level at first trimester,,,1.0.0,,continuous,meter,,,,"using european road traffic noise maps, which were generated under EC Directive 2002/49/EC (Assessment and Management of Environmental Noise) in the framework of the European Noise Directive (END)",,,distance (noise),,,False,,,,, +LifeCycle,core,nox_,nox average value (extrapolated back in time using ratio method) during first year (>0 year and <=1 year),,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,nox,,,False,,,,, +LifeCycle,core,nox_preg,nox average value (extrapolated back in time using ratio method) during pregnancy,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,nox,,,False,,,,, +LifeCycle,core,nox_t,nox average value (extrapolated back in time using ratio method) during first trimester,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,nox,,,False,,,,, +LifeCycle,core,occup_f1_,"Paternal occupational status, primary father (>-1 year and <1 year)",,,1.0.0,,categorical,,,,,"Occupational status of primary/main father-figure within one year of birth (>-1 year and <1 year) If a cohort does not have data specifying whether the father is employed or self-employed, categorise the father as employed; the variable will be partially harmonised. - If more than one status is recorded within the defined time frame, use the highest reported level",,,Paternal occupational status,, -LifeCycle_CDM,core,occup_f1_fath0,"Father type, occup_f1_0",,,1.0.0,,categorical,,,,,"Variable indicating whether the occupational status recorded in occup_f1_0 is for the biological father, the social father/mother or whether this is unknown",,,Paternal occupational status,, -LifeCycle_CDM,core,occup_f2_0,"Paternal occupational status, secondary father (>-1 year and <1 year)",,,1.0.0,,categorical,,,,,"Occupational status of secondary father-figure within one year of birth (>-1 year and <1 year) + If more than one status is recorded within the defined time frame, use the highest reported level",,,Paternal occupational status,,,True,Trimester,0,3,, +LifeCycle,core,occup_f1_fath,"Father type, occup_f1_0",,,1.0.0,,categorical,,,,,"Variable indicating whether the occupational status recorded in occup_f1_0 is for the biological father, the social father/mother or whether this is unknown",,,Paternal occupational status,,,True,Trimester,0,3,, +LifeCycle,core,occup_f2_,"Paternal occupational status, secondary father (>-1 year and <1 year)",,,1.0.0,,categorical,,,,,"Occupational status of secondary father-figure within one year of birth (>-1 year and <1 year) If a cohort does not have data specifying whether the father is employed or self-employed, categorise the father as employed; the variable will be partially harmonised - If more than one status is recorded within the defined time frame, use the highest reported level",,,Paternal occupational status,, -LifeCycle_CDM,core,occup_f2_fath0,"Father type, occup_f2_0",,,1.0.0,,categorical,,,,,"Variable indicating whether the occupational status recorded in occup_f2_0, is for the biological father, the social father/mother or whether this is unknown",,,Paternal occupational status,, -NFBC1966,core,age_mdg18,age_mdg18,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,core,pm10cu_preg,pm10cu value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10cu,, -LifeCycle_CDM,core,occup_m_0,Maternal occupational status (>-1 year and <1 year),,,1.0.0,,categorical,,,,,"Occupational status of the mother when the chld was within one year of birth (≥-1 year and <1 year) + If more than one status is recorded within the defined time frame, use the highest reported level",,,Paternal occupational status,,,False,,,,, +LifeCycle,core,occup_f2_fath,"Father type, occup_f2_0",,,1.0.0,,categorical,,,,,"Variable indicating whether the occupational status recorded in occup_f2_0, is for the biological father, the social father/mother or whether this is unknown",,,Paternal occupational status,,,False,,,,, +LifeCycle,core,pm10cu_preg,pm10cu value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10cu,,,False,,,,, +LifeCycle,core,occup_m_,Maternal occupational status (>-1 year and <1 year),,,1.0.0,,categorical,,,,,"Occupational status of the mother when the chld was within one year of birth (≥-1 year and <1 year) Employed/self-employed includes maternity leave if she was employed before commencing maternity leave. If more than one status is recorded within the defined time frame use the highest reported level. -If a cohort does not have data specifying whether the mother is employed or self-employed, categorise the mother as employed; the variable will be partially harmonised.",,,Maternal occupational status,, -LifeCycle_CDM,core,occupcode_f1_0,Primary father's occupational code (>-1 year and <1 year),,,1.0.0,,categorical,,,,,"Occupation of the primary father figure classified according to ISCO-88 1 digit codes within one year of birth (child aged between >-1 year and <1 year) +If a cohort does not have data specifying whether the mother is employed or self-employed, categorise the mother as employed; the variable will be partially harmonised.",,,Maternal occupational status,,,True,Trimester,0,3,, +LifeCycle,core,occupcode_f1_,Primary father's occupational code (>-1 year and <1 year),,,1.0.0,,categorical,,,,,"Occupation of the primary father figure classified according to ISCO-88 1 digit codes within one year of birth (child aged between >-1 year and <1 year) If more than one occupation is recorded within the defined time frame use the highest reported level. Classified according to ISCO-88 (International Standard Classification of Occupations 1988) 1 digit codes -http://www.ilo.org/public/english/bureau/stat/isco/isco08/index.htm",,,Paternal occupational code,, -LifeCycle_CDM,core,occupcode_f1_fath0,"Father type, occupcode_f1_0",,,1.0.0,,categorical,,,,,"Variables indicating whether the occupation codes recorded in occupcode_f1_0 are for the biological father, the social father/mother or whether this is unknown",,,Paternal occupational code,, -LifeCycle_CDM,core,occupcode_f2_0,Secondary father's occupational code (>-1 year and <1 year),,,1.0.0,,categorical,,,,,"Occupation of the secondary father figure classified according to ISCO-88 1 digit codes within one year of birth (child aged between >-1 year and <1 year) +http://www.ilo.org/public/english/bureau/stat/isco/isco08/index.htm",,,Paternal occupational code,,,False,,,,, +LifeCycle,core,occupcode_f1_fath,"Father type, occupcode_f1_0",,,1.0.0,,categorical,,,,,"Variables indicating whether the occupation codes recorded in occupcode_f1_0 are for the biological father, the social father/mother or whether this is unknown",,,Paternal occupational code,,,False,,,,, +LifeCycle,core,occupcode_f2_,Secondary father's occupational code (>-1 year and <1 year),,,1.0.0,,categorical,,,,,"Occupation of the secondary father figure classified according to ISCO-88 1 digit codes within one year of birth (child aged between >-1 year and <1 year) If more than one occupation is recorded within the defined time frame use the highest reported level. Classified according to ISCO-88 (International Standard Classification of Occupations 1988) 1 digit codes -http://www.ilo.org/public/english/bureau/stat/isco/isco08/index.htm",,,Paternal occupational code,, -LifeCycle_CDM,core,occupcode_f2_fath0,"Father type, occupcode_f2_0",,,1.0.0,,categorical,,,,,"Variables indicating whether the occupation codes recorded in occupcode_f2_0 are for the biological father, the social father/mother or whether this is unknown",,,Paternal occupational code,, -LifeCycle_CDM,core,occupcode_m_0,Maternal occupational code (>-1 year and <1 year),,,1.0.0,,categorical,,,,,"Occupation of the mother classified according to ISCO-88 1 digit codes within one year of birth (child aged between >-1 year and <1 year) +http://www.ilo.org/public/english/bureau/stat/isco/isco08/index.htm",,,Paternal occupational code,,,False,,,,, +LifeCycle,core,occupcode_f2_fath,"Father type, occupcode_f2_0",,,1.0.0,,categorical,,,,,"Variables indicating whether the occupation codes recorded in occupcode_f2_0 are for the biological father, the social father/mother or whether this is unknown",,,Paternal occupational code,,,False,,,,, +LifeCycle,core,occupcode_m_,Maternal occupational code (>-1 year and <1 year),,,1.0.0,,categorical,,,,,"Occupation of the mother classified according to ISCO-88 1 digit codes within one year of birth (child aged between >-1 year and <1 year) If more than one occupation is recorded within the defined time frame use the highest reported level. Classified according to ISCO-88 (International Standard Classification of Occupations 1988) 1 digit codes -http://www.ilo.org/public/english/bureau/stat/isco/isco08/index.htm",,,Maternal occupational code,, -LifeCycle_CDM,core,other_0,"percentage of other (mineral extraction and dump sites, construction sites, land without current use) land use within a buffer of 300 m at birth",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_other,, -LifeCycle_CDM,core,other_preg,"percentage of other (mineral extraction and dump sites, construction sites, land without current use) land use within a buffer of 300 m at pregnancy",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_forests,, -LifeCycle_CDM,core,other_t1,"percentage of other (mineral extraction and dump sites, construction sites, land without current use) land use within a buffer of 300 m at first trimester",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_other,, -LifeCycle_CDM,core,outcome,Birth outcome,,,1.0.0,,categorical,,,,,"A complete match is achieved when data on all categories (live born, still born, spontaneous abortion etc.) are available. When detailing the match of the variable in the catalogue it is important to include the date of recruitment; in many cases this will explain a partial match. Where the match is only partial, also indicate whether there are complete data on live-born vs. stillborn. -Stillborn defined as 22 completed weeks",,,Birth outcome,, -LifeCycle_CDM,core,parity_m,Mother's parity,,,1.0.0,,categorical,,,,,"Mother's parity based on previous born children (previous stillbirths included, abortions excluded). Stillbirth is defined as the death of a fetus at or after 22 completed weeks of gestation. +http://www.ilo.org/public/english/bureau/stat/isco/isco08/index.htm",,,Maternal occupational code,,,False,,,,, +LifeCycle,core,other_,"percentage of other (mineral extraction and dump sites, construction sites, land without current use) land use within a buffer of 300 m at birth",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_other,,,False,,,,, +LifeCycle,core,other_preg,"percentage of other (mineral extraction and dump sites, construction sites, land without current use) land use within a buffer of 300 m at pregnancy",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_forests,,,False,,,,, +LifeCycle,core,other_t,"percentage of other (mineral extraction and dump sites, construction sites, land without current use) land use within a buffer of 300 m at first trimester",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_other,,,False,,,,, +LifeCycle,core,outcome,Birth outcome,,,1.0.0,,categorical,,,,,"A complete match is achieved when data on all categories (live born, still born, spontaneous abortion etc.) are available. When detailing the match of the variable in the catalogue it is important to include the date of recruitment; in many cases this will explain a partial match. Where the match is only partial, also indicate whether there are complete data on live-born vs. stillborn. +Stillborn defined as 22 completed weeks",,,Birth outcome,,,False,,,,, +LifeCycle,core,parity_m,Mother's parity,,,1.0.0,,categorical,,,,,"Mother's parity based on previous born children (previous stillbirths included, abortions excluded). Stillbirth is defined as the death of a fetus at or after 22 completed weeks of gestation. If both Birth medical registry data and self-reported data are available, prioritisation is as follows: 1) Medical Birth registry data -2) Self-reported",,,Maternal parity,, -LifeCycle_CDM,core,patternA_snackscreen_psc,"Child’s score on the 'snack - screen' pattern, at preschool age.",,,1.0.0,,continuous,,,,,"Children with higher score show relatively more sweet beverages and processed foods intake, higher screen times and lower fruit and vegetables intake than other children from the same cohort. The score is derived from PCA loadings. -The patterns are data driven, and therefore aren’t strictly equivalent between the cohorts, however, the interpretation of this pattern is coherent accross the cohorts.",,,Preschool multibehavioral profiles,, -LifeCycle_CDM,core,patternB_psc,"Child’s score on the secondary multibehavioral pattern, at preschool age.",,,1.0.0,,continuous,,,,,"The score is relative to the child’s cohort and is derived from PCA loadings. -The patterns are data driven, this second multi-behavioral pattern isn’t coherent accross the cohorts. See each cohorts detailed infos for a succinct profile description.",,,Preschool multibehavioral profiles,, -LifeCycle_CDM,core,perccarb_pgn,Percentage of Total carbohydrate intake during pregnancy,,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (M),, -LifeCycle_CDM,core,perccarb_psc,Total carbohydrate intake in preschool age (2-4 years),,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (Preschool),, -LifeCycle_CDM,core,perccarb_sch,Total carbohydrate intake in school-age children (5-8 years),,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (School),, -LifeCycle_CDM,core,percfat_pgn,Percentage of Total Fat intake during pregnancy,,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (M),, -LifeCycle_CDM,core,percfat_psc,Total Fat intake in preschool age (2-4 years),,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (Preschool),, -LifeCycle_CDM,core,percfat_sch,Total Fat intake in school-age children (5-8 years),,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (School),, -LifeCycle_CDM,core,percprot_pgn,Percentage of Total Protein intake during pregnancy,,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (M),, -LifeCycle_CDM,core,percprot_psc,Total Protein intake in preschool age (2-4 years),,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (Preschool),, -LifeCycle_CDM,core,percprot_sch,Total Protein intake in school-age children (5-8 years),,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (School),, -LifeCycle_CDM,core,pets_0,Furry pet ownership (≥0 to <1year),,,1.0.0,,binary,,,,,"Furry pet (dogs, cats, rodents) ownership in child's household from 0 to <1year.",,,Furry Pets,, -LifeCycle_CDM,core,plac_abrup,Placental abruption,,,1.0.0,,binary,,,,,,,,Placental abruption,, -LifeCycle_CDM,core,plurality,Plurality,,,1.0.0,,categorical,,,,,Number of foetuses in pregnancy,,,Plurality,, -LifeCycle_CDM,core,pm10_1,pm10 average value (extrapolated back in time using ratio method) during first year (>0 year and <=1 year),,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10,, -LifeCycle_CDM,core,pm10_preg,pm10 average value (extrapolated back in time using ratio method) during pregnancy,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for EDEN NANCY and EDEN POITIERS, that has been used a Local Dispersion Model",,,pm10,, -LifeCycle_CDM,core,pm10_t1,pm10 average value (extrapolated back in time using ratio method) during first trimester,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10,, -LifeCycle_CDM,core,pm10cu_0,pm10cu value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10cu,, -LifeCycle_CDM,core,pm10cu_t1,pm10cu value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10cu,, -LifeCycle_CDM,core,pm10fe_0,pm10fe value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10fe,, -LifeCycle_CDM,core,pm10fe_preg,pm10fe value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10fe,, -LifeCycle_CDM,core,pm10fe_t1,pm10fe value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10fe,, -LifeCycle_CDM,core,pm10k_0,pm10k value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10k,, -LifeCycle_CDM,core,pm10k_preg,pm10k value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10k,, -LifeCycle_CDM,core,pm10k_t1,pm10k value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10k,, -LifeCycle_CDM,core,pm10ni_0,pm10ni value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10ni,, -LifeCycle_CDM,core,pm10ni_preg,pm10ni value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10ni,, -LifeCycle_CDM,core,pm10ni_t1,pm10ni value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10ni,, -LifeCycle_CDM,core,pm10s_0,pm10s value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10s,, -LifeCycle_CDM,core,pm10s_preg,pm10s value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10s,, -LifeCycle_CDM,core,pm10s_t1,pm10s value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10s,, -LifeCycle_CDM,core,pm10si_0,pm10si value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10si,, -LifeCycle_CDM,core,pm10si_preg,pm10si value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10si,, -LifeCycle_CDM,core,pm10si_t1,pm10si value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10si,, -LifeCycle_CDM,core,pm10v_0,pm10v value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10v,, -LifeCycle_CDM,core,pm10v_preg,pm10v value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10v,, -LifeCycle_CDM,core,pm10v_t1,pm10v value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10v,, -OOM_CDM,EUROCAT,faanom,,,,2.2,,,,,,false,"FATHER’S FAMILY WITH ANOMALIES -As MOANOM - -Please give details in text variable 90 SP_FAANOM",,"1 = Same -2 = Other -3 = Same and other -4 = No -9 = Not known,Table reference: EUROCAT/EUROmediCAT. As MOANOM",,, -LifeCycle_CDM,core,pm10zn_0,pm10zn value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10zn,, -LifeCycle_CDM,core,pm10zn_preg,pm10zn value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10zn,, -LifeCycle_CDM,core,pm10zn_t1,pm10zn value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10zn,, -LifeCycle_CDM,core,pm25_1,pm25 average value (extrapolated back in time using ratio method) during first year (>0 year and <=1 year),,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25,, -LifeCycle_CDM,core,pm25_preg,pm25 average value (extrapolated back in time using ratio method) during pregnancy,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25,, -LifeCycle_CDM,core,pm25_t1,pm25 average value (extrapolated back in time using ratio method) during first trimester,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25,, -LifeCycle_CDM,core,pm25abs_1,pm25abs average value (extrapolated back in time using ratio method) during first year (>0 year and <=1 year),,,1.0.0,,continuous,ten_power_minus_five_per_inverse_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25abs,, -LifeCycle_CDM,core,pm25abs_preg,pm25abs average value (extrapolated back in time using ratio method) during pregnancy,,,1.0.0,,continuous,ten_power_minus_five_per_inverse_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25abs,, -LifeCycle_CDM,core,pm25abs_t1,pm25abs average value (extrapolated back in time using ratio method) during first trimester,,,1.0.0,,continuous,ten_power_minus_five_per_inverse_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25abs,, -NFBC1966,core,age_fdg31,age_fdg31,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,core,pm25cu_0,pm25cu value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25cu,, -LifeCycle_CDM,core,pm25cu_preg,pm25cu value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25cu,, -LifeCycle_CDM,core,pm25cu_t1,pm25cu value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25cu,, -LifeCycle_CDM,core,pm25fe_0,pm25fe value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25fe,, -LifeCycle_CDM,core,pm25fe_preg,pm25fe value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25fe,, -LifeCycle_CDM,core,pm25fe_t1,pm25fe value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25fe,, -LifeCycle_CDM,core,pm25k_0,pm25k value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25k,, -LifeCycle_CDM,core,pm25k_preg,pm25k value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25k,, -LifeCycle_CDM,core,pm25k_t1,pm25k value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25k,, -LifeCycle_CDM,core,pm25ni_0,pm25ni value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25ni,, -LifeCycle_CDM,core,pm25ni_preg,pm25ni value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25ni,, -LifeCycle_CDM,core,pm25ni_t1,pm25ni value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25ni,, -LifeCycle_CDM,core,pm25s_0,pm25s value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25s,, -LifeCycle_CDM,core,pm25s_preg,pm25s value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25s,, -LifeCycle_CDM,core,pm25s_t1,pm25s value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25s,, -LifeCycle_CDM,core,pm25si_0,pm25si value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25si,, -LifeCycle_CDM,core,pm25si_preg,pm25si value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25si,, -LifeCycle_CDM,core,pm25si_t1,pm25si value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25si,, -LifeCycle_CDM,core,pm25v_0,pm25v value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25v,, -LifeCycle_CDM,core,pm25v_preg,pm25v value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25v,, -LifeCycle_CDM,core,pm25v_t1,pm25v value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25v,, -LifeCycle_CDM,core,pm25zn_0,pm25zn value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25zn,, -LifeCycle_CDM,core,pm25zn_preg,pm25zn value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25zn,, -LifeCycle_CDM,core,pm25zn_t1,pm25zn value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25zn,, -LifeCycle_CDM,core,pmcoarse_1,pmcoarse average value (extrapolated back in time using ratio method) during first year (>0 year and <=1 year),,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for ALSPAC, DNBC, EDEN NANCY, EDEN POITIERS, INMA GUIPUZCOA, INMA VALENCIA, NINFEA FIRENZE, PICCOLIPIÙ FIRENZE, that has been used ELAPSE models",,,pmcoarse,, -LifeCycle_CDM,core,pmcoarse_preg,pmcoarse average value (extrapolated back in time using ratio method) during pregnancy,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for ALSPAC, DNBC, EDEN NANCY, EDEN POITIERS, INMA GUIPUZCOA, INMA VALENCIA, NINFEA FIRENZE, PICCOLIPIÙ FIRENZE, that has been used ELAPSE models",,,pmcoarse,, -LifeCycle_CDM,core,pmcoarse_t1,pmcoarse average value (extrapolated back in time using ratio method) during first trimester,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for ALSPAC, DNBC, EDEN NANCY, EDEN POITIERS, INMA GUIPUZCOA, INMA VALENCIA, NINFEA FIRENZE, PICCOLIPIÙ FIRENZE, that has been used ELAPSE models",,,pmcoarse,, -LifeCycle_CDM,core,popdens_0,population density at birth,,,1.0.0,,continuous,people_per_square_kilometer,,,,using Global Human Settlement Layer (GHSL) except for MOBA (local layer),,,population_density,, -LifeCycle_CDM,core,popdens_preg,population density at pregnancy,,,1.0.0,,continuous,people_per_square_kilometer,,,,using Global Human Settlement Layer (GHSL) except for MOBA (local layer),,,population_density,, -LifeCycle_CDM,core,popdens_t1,population density at first trimester,,,1.0.0,,continuous,people_per_square_kilometer,,,,using Global Human Settlement Layer (GHSL) except for MOBA (local layer),,,population_density,, -LifeCycle_CDM,core,port_0,percentage of port (port areas) land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_port,, -LifeCycle_CDM,core,procmeat_psc,Processed meat in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,port_preg,percentage of port (port areas) land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_other,, -LifeCycle_CDM,core,port_t1,percentage of port (port areas) land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_port,, -LifeCycle_CDM,core,potat_pgn,Potatoes during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,potat_psc,Potatoes in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,potat_sch,Potatoes in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,ppd,Postpartum depression,,,1.0.0,,binary,,,,,"Complete harmonisation: ppd is identified using a defined scale (for e.g. the Edinburgh postnatal depression scale) or is clinically diagnosed. -Partial harmonisation: reported depression or psychiatric disorder around the time of birth",,,Depression,, -LifeCycle_CDM,core,preeclam,Preeclampsia/HELLP syndrome,,,1.0.0,,binary,,,,,"Preeclampsia or HELLP syndrome during pregnancy +2) Self-reported",,,Maternal parity,,,False,,,,, +LifeCycle,core,patternA_snackscreen_psc,"Child’s score on the 'snack - screen' pattern, at preschool age.",,,1.0.0,,continuous,,,,,"Children with higher score show relatively more sweet beverages and processed foods intake, higher screen times and lower fruit and vegetables intake than other children from the same cohort. The score is derived from PCA loadings. +The patterns are data driven, and therefore aren’t strictly equivalent between the cohorts, however, the interpretation of this pattern is coherent accross the cohorts.",,,Preschool multibehavioral profiles,,,False,,,,, +LifeCycle,core,patternB_psc,"Child’s score on the secondary multibehavioral pattern, at preschool age.",,,1.0.0,,continuous,,,,,"The score is relative to the child’s cohort and is derived from PCA loadings. +The patterns are data driven, this second multi-behavioral pattern isn’t coherent accross the cohorts. See each cohorts detailed infos for a succinct profile description.",,,Preschool multibehavioral profiles,,,False,,,,, +LifeCycle,core,perccarb_pgn,Percentage of Total carbohydrate intake during pregnancy,,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (M),,,False,,,,, +LifeCycle,core,perccarb_psc,Total carbohydrate intake in preschool age (2-4 years),,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (Preschool),,,False,,,,, +LifeCycle,core,perccarb_sch,Total carbohydrate intake in school-age children (5-8 years),,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (School),,,False,,,,, +LifeCycle,core,percfat_pgn,Percentage of Total Fat intake during pregnancy,,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (M),,,False,,,,, +LifeCycle,core,percfat_psc,Total Fat intake in preschool age (2-4 years),,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (Preschool),,,False,,,,, +LifeCycle,core,percfat_sch,Total Fat intake in school-age children (5-8 years),,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (School),,,False,,,,, +LifeCycle,core,percprot_pgn,Percentage of Total Protein intake during pregnancy,,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (M),,,False,,,,, +LifeCycle,core,percprot_psc,Total Protein intake in preschool age (2-4 years),,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (Preschool),,,False,,,,, +LifeCycle,core,percprot_sch,Total Protein intake in school-age children (5-8 years),,,1.0.0,,continuous,percent_energy_intake,,,,,,,Nutrients (School),,,False,,,,, +LifeCycle,core,pets_,Furry pet ownership (≥0 to <1year),,,1.0.0,,binary,,,,,"Furry pet (dogs, cats, rodents) ownership in child's household from 0 to <1year.",,,Furry Pets,,,True,Trimester,0,3,, +LifeCycle,core,plac_abrup,Placental abruption,,,1.0.0,,binary,,,,,,,,Placental abruption,,,False,,,,, +LifeCycle,core,plurality,Plurality,,,1.0.0,,categorical,,,,,Number of foetuses in pregnancy,,,Plurality,,,False,,,,, +LifeCycle,core,pm10_,pm10 average value (extrapolated back in time using ratio method) during first year (>0 year and <=1 year),,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10,,,False,,,,, +LifeCycle,core,pm10_preg,pm10 average value (extrapolated back in time using ratio method) during pregnancy,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for EDEN NANCY and EDEN POITIERS, that has been used a Local Dispersion Model",,,pm10,,,False,,,,, +LifeCycle,core,pm10zn_t,pm10zn value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10zn,,,False,,,,, +LifeCycle,core,pm10_t,pm10 average value (extrapolated back in time using ratio method) during first trimester,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10,,,False,,,,, +LifeCycle,core,pm10cu_,pm10cu value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10cu,,,False,,,,, +LifeCycle,core,pm10cu_t,pm10cu value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10cu,,,False,,,,, +LifeCycle,core,pm10fe_,pm10fe value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10fe,,,False,,,,, +LifeCycle,core,pm10fe_preg,pm10fe value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10fe,,,False,,,,, +LifeCycle,core,pm10fe_t,pm10fe value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10fe,,,False,,,,, +LifeCycle,core,pm10k_,pm10k value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10k,,,False,,,,, +LifeCycle,core,pm10k_preg,pm10k value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10k,,,False,,,,, +LifeCycle,core,pm10k_t,pm10k value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10k,,,False,,,,, +LifeCycle,core,pm10ni_,pm10ni value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10ni,,,False,,,,, +LifeCycle,core,pm10ni_preg,pm10ni value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10ni,,,False,,,,, +LifeCycle,core,pm10ni_t,pm10ni value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10ni,,,False,,,,, +LifeCycle,core,pm10s_,pm10s value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10s,,,False,,,,, +LifeCycle,core,pm10s_preg,pm10s value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10s,,,False,,,,, +LifeCycle,core,pm10s_t,pm10s value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10s,,,False,,,,, +LifeCycle,core,pm10si_,pm10si value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10si,,,False,,,,, +LifeCycle,core,pm10si_preg,pm10si value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10si,,,False,,,,, +LifeCycle,core,pm10si_t,pm10si value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10si,,,False,,,,, +LifeCycle,core,pm10v_,pm10v value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10v,,,False,,,,, +LifeCycle,core,pm10v_preg,pm10v value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10v,,,False,,,,, +LifeCycle,core,pm10v_t,pm10v value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10v,,,False,,,,, +LifeCycle,core,pm10zn_,pm10zn value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10zn,,,False,,,,, +LifeCycle,core,pm10zn_preg,pm10zn value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm10zn,,,False,,,,, +LifeCycle,core,pm25_,pm25 average value (extrapolated back in time using ratio method) during first year (>0 year and <=1 year),,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25,,,False,,,,, +LifeCycle,core,pm25_preg,pm25 average value (extrapolated back in time using ratio method) during pregnancy,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25,,,False,,,,, +LifeCycle,core,pm25_t,pm25 average value (extrapolated back in time using ratio method) during first trimester,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25,,,False,,,,, +LifeCycle,core,pm25abs_,pm25abs average value (extrapolated back in time using ratio method) during first year (>0 year and <=1 year),,,1.0.0,,continuous,ten_power_minus_five_per_inverse_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25abs,,,False,,,,, +LifeCycle,core,pm25abs_preg,pm25abs average value (extrapolated back in time using ratio method) during pregnancy,,,1.0.0,,continuous,ten_power_minus_five_per_inverse_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25abs,,,False,,,,, +LifeCycle,core,pm25abs_t,pm25abs average value (extrapolated back in time using ratio method) during first trimester,,,1.0.0,,continuous,ten_power_minus_five_per_inverse_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25abs,,,False,,,,, +LifeCycle,core,pm25cu_,pm25cu value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25cu,,,False,,,,, +LifeCycle,core,pm25cu_preg,pm25cu value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25cu,,,False,,,,, +LifeCycle,core,pm25cu_t,pm25cu value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25cu,,,False,,,,, +LifeCycle,core,pm25fe_,pm25fe value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25fe,,,False,,,,, +LifeCycle,core,pm25fe_preg,pm25fe value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25fe,,,False,,,,, +LifeCycle,core,pm25fe_t,pm25fe value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25fe,,,False,,,,, +LifeCycle,core,pm25k_,pm25k value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25k,,,False,,,,, +LifeCycle,core,pm25k_preg,pm25k value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25k,,,False,,,,, +LifeCycle,core,pm25k_t,pm25k value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25k,,,False,,,,, +LifeCycle,core,pm25ni_,pm25ni value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25ni,,,False,,,,, +LifeCycle,core,pm25ni_preg,pm25ni value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25ni,,,False,,,,, +LifeCycle,core,pm25ni_t,pm25ni value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25ni,,,False,,,,, +LifeCycle,core,pm25s_,pm25s value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25s,,,False,,,,, +LifeCycle,core,pm25s_preg,pm25s value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25s,,,False,,,,, +LifeCycle,core,pm25s_t,pm25s value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25s,,,False,,,,, +LifeCycle,core,pm25si_,pm25si value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25si,,,False,,,,, +LifeCycle,core,pm25si_preg,pm25si value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25si,,,False,,,,, +LifeCycle,core,pm25si_t,pm25si value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25si,,,False,,,,, +LifeCycle,core,pm25v_,pm25v value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25v,,,False,,,,, +LifeCycle,core,pm25v_preg,pm25v value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25v,,,False,,,,, +LifeCycle,core,pm25v_t,pm25v value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25v,,,False,,,,, +LifeCycle,core,pm25zn_,pm25zn value (extrapolated back in time using ratio method) at birth,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25zn,,,False,,,,, +LifeCycle,core,pm25zn_preg,pm25zn value (extrapolated back in time using ratio method) at pregnancy,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25zn,,,False,,,,, +LifeCycle,core,pm25zn_t,pm25zn value (extrapolated back in time using ratio method) at first trimester,,,1.0.0,,continuous,nanograms_per_cubic_meter,,,,using the same source for all the cohorts (ESCAPE LUR MODELS),,,pm25zn,,,False,,,,, +LifeCycle,core,pmcoarse_,pmcoarse average value (extrapolated back in time using ratio method) during first year (>0 year and <=1 year),,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for ALSPAC, DNBC, EDEN NANCY, EDEN POITIERS, INMA GUIPUZCOA, INMA VALENCIA, NINFEA FIRENZE, PICCOLIPIÙ FIRENZE, that has been used ELAPSE models",,,pmcoarse,,,False,,,,, +LifeCycle,core,pmcoarse_preg,pmcoarse average value (extrapolated back in time using ratio method) during pregnancy,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for ALSPAC, DNBC, EDEN NANCY, EDEN POITIERS, INMA GUIPUZCOA, INMA VALENCIA, NINFEA FIRENZE, PICCOLIPIÙ FIRENZE, that has been used ELAPSE models",,,pmcoarse,,,False,,,,, +LifeCycle,core,pmcoarse_t,pmcoarse average value (extrapolated back in time using ratio method) during first trimester,,,1.0.0,,continuous,micrograms_per_cubic_meter,,,,"using ESCAPE LUR models except for ALSPAC, DNBC, EDEN NANCY, EDEN POITIERS, INMA GUIPUZCOA, INMA VALENCIA, NINFEA FIRENZE, PICCOLIPIÙ FIRENZE, that has been used ELAPSE models",,,pmcoarse,,,False,,,,, +LifeCycle,core,popdens_,population density at birth,,,1.0.0,,continuous,people_per_square_kilometer,,,,using Global Human Settlement Layer (GHSL) except for MOBA (local layer),,,population_density,,,False,,,,, +LifeCycle,core,popdens_preg,population density at pregnancy,,,1.0.0,,continuous,people_per_square_kilometer,,,,using Global Human Settlement Layer (GHSL) except for MOBA (local layer),,,population_density,,,False,,,,, +LifeCycle,core,popdens_t,population density at first trimester,,,1.0.0,,continuous,people_per_square_kilometer,,,,using Global Human Settlement Layer (GHSL) except for MOBA (local layer),,,population_density,,,False,,,,, +LifeCycle,core,port_,percentage of port (port areas) land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_port,,,False,,,,, +LifeCycle,core,procmeat_psc,Processed meat in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,port_preg,percentage of port (port areas) land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_other,,,False,,,,, +LifeCycle,core,port_t,percentage of port (port areas) land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_port,,,False,,,,, +LifeCycle,core,potat_pgn,Potatoes during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,potat_psc,Potatoes in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,potat_sch,Potatoes in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,ppd,Postpartum depression,,,1.0.0,,binary,,,,,"Complete harmonisation: ppd is identified using a defined scale (for e.g. the Edinburgh postnatal depression scale) or is clinically diagnosed. +Partial harmonisation: reported depression or psychiatric disorder around the time of birth",,,Depression,,,False,,,,, +LifeCycle,core,preeclam,Preeclampsia/HELLP syndrome,,,1.0.0,,binary,,,,,"Preeclampsia or HELLP syndrome during pregnancy Preeclampsia is defined as : i) elevated blood pressure after 20 weeks of gestation (≥ 140 mm Hg systolic or ≥ 90 mm Hg diastolic) ii) proteinuria (> 0.3 g/24 hours). -HELLP syndrome (haemolysis, elevated liver enzymes, and low platelets) is a manifestation or complication of preeclampsia",,,Preeclampsia/gestational hypertension,, -LifeCycle_CDM,core,preg_alc,Maternal alcohol intake in pregnancy (any),,,1.0.0,,binary,,,,,,,,Maternal alcohol intake,, -LifeCycle_CDM,core,preg_alc_unit,Maternal alcohol intake in pregnancy (units),,,1.0.0,,categorical,week,,,,"Units of alcohol mother drank on average per week during pregnancy +HELLP syndrome (haemolysis, elevated liver enzymes, and low platelets) is a manifestation or complication of preeclampsia",,,Preeclampsia/gestational hypertension,,,False,,,,, +LifeCycle,core,preg_alc,Maternal alcohol intake in pregnancy (any),,,1.0.0,,binary,,,,,,,,Maternal alcohol intake,,,False,,,,, +LifeCycle,core,preg_alc_unit,Maternal alcohol intake in pregnancy (units),,,1.0.0,,categorical,week,,,,"Units of alcohol mother drank on average per week during pregnancy For converting from days to weeks apply the following rule: one drink per day corresponds to 7–13 drinks weekly, two drinks per day to 14–20 drinks weekly, etc. -Non-drinkers categorised under 0 - not drinking alcohol",,,Maternal alcohol intake,, -LifeCycle_CDM,core,preg_an,Maternal anorexia nervosa active during the index pregnancy,,,1.0.0,,binary,,,,,"Maternal anorexia nervosa (AN) should be active during the index pregnancy and should include registry-based diagnoses or maternally-reported doctor-diagnosed AN active during the index pregnancy. If both sources of information are available, consider registry-based AN. If multiple assessments during pregnancy were performed, consider the earliest one. +Non-drinkers categorised under 0 - not drinking alcohol",,,Maternal alcohol intake,,,False,,,,, +LifeCycle,core,preg_an,Maternal anorexia nervosa active during the index pregnancy,,,1.0.0,,binary,,,,,"Maternal anorexia nervosa (AN) should be active during the index pregnancy and should include registry-based diagnoses or maternally-reported doctor-diagnosed AN active during the index pregnancy. If both sources of information are available, consider registry-based AN. If multiple assessments during pregnancy were performed, consider the earliest one. Partial harmonization includes: - Standardized questionnaires/criteria that refer to the pregnancy period; - Maternal report of AN active during pregnancy with no specification on whether it is doctor-diagnosed or not. -Please specify how this variable was created, and whether AN was assessed through medical records or self-reported.",,,Anorexia nervosa,, -LifeCycle_CDM,core,preg_bn,Maternal bulimia nervosa active during the index pregnancy,,,1.0.0,,binary,,,,,"Maternal bulimia nervosa (BN) should be active during the index pregnancy and should include registry-based diagnoses or maternally-reported doctor-diagnosed BN active during the index pregnancy. If both sources of information are available, consider registry-based BN. If multiple assessments during pregnancy were performed, consider the earliest one. +Please specify how this variable was created, and whether AN was assessed through medical records or self-reported.",,,Anorexia nervosa,,,False,,,,, +LifeCycle,core,preg_bn,Maternal bulimia nervosa active during the index pregnancy,,,1.0.0,,binary,,,,,"Maternal bulimia nervosa (BN) should be active during the index pregnancy and should include registry-based diagnoses or maternally-reported doctor-diagnosed BN active during the index pregnancy. If both sources of information are available, consider registry-based BN. If multiple assessments during pregnancy were performed, consider the earliest one. Partial harmonization includes: - Standardized questionnaires/criteria that refer to the pregnancy period; - Maternal report of BN active during pregnancy with no specification on whether it is doctor-diagnosed or not. -Please specify how this variable was created, and whether BN was assessed through medical records or self-reported.",,,Bulimia nervosa,, -LifeCycle_CDM,core,procmeat_pgn,Processed meat during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -PELAGIE,BDD_ethers,EAA,EAA concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,, -LifeCycle_CDM,core,preg_cig,Maternal smoking in pregnancy (cigarettes),,,1.0.0,,categorical,,,,,"Average number of cigarettes smoked per day in pregnancy +Please specify how this variable was created, and whether BN was assessed through medical records or self-reported.",,,Bulimia nervosa,,,False,,,,, +LifeCycle,core,procmeat_pgn,Processed meat during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,preg_cig,Maternal smoking in pregnancy (cigarettes),,,1.0.0,,categorical,,,,,"Average number of cigarettes smoked per day in pregnancy Cigars, pipes, cheroots should be converted into number of cigarettes (1:3). 1 cigar, pipe, cheroot etc. is equivalent to 3 cigarettes. -Non-smokers categorised under 0 - none",,,Maternal smoking,, -LifeCycle_CDM,core,preg_dia,Gestational diabetes,,,1.0.0,,binary,,,,,"Gestational diabetes during index pregnancy: glucose intolerance with onset or first recognition during pregnancy continuing beyond 24–28 weeks of gestation. +Non-smokers categorised under 0 - none",,,Maternal smoking,,,False,,,,, +LifeCycle,core,preg_dia,Gestational diabetes,,,1.0.0,,binary,,,,,"Gestational diabetes during index pregnancy: glucose intolerance with onset or first recognition during pregnancy continuing beyond 24–28 weeks of gestation. -The variable is fully harmonised if data cover the whole pregnancy.",,,Maternal diabetes,, -LifeCycle_CDM,core,preg_ed,Maternal any eating disorder active during the index pregnancy,,,1.0.0,,binary,,,,,"A disorder should be active during the index pregnancy and should include registry-based diagnoses or maternally-reported doctor-diagnosed disorders active during the index pregnancy. If both sources of information are available, consider registry-based disorders. If multiple assessments during pregnancy were performed, consider the earliest one. +The variable is fully harmonised if data cover the whole pregnancy.",,,Maternal diabetes,,,False,,,,, +LifeCycle,core,preg_ed,Maternal any eating disorder active during the index pregnancy,,,1.0.0,,binary,,,,,"A disorder should be active during the index pregnancy and should include registry-based diagnoses or maternally-reported doctor-diagnosed disorders active during the index pregnancy. If both sources of information are available, consider registry-based disorders. If multiple assessments during pregnancy were performed, consider the earliest one. Partial harmonization includes: - Standardized questionnaires/criteria that refer to the pregnancy period; - Maternal report of eating disorders active during pregnancy with no specification on whether it is doctor-diagnosed or not. - If “any eating disorder” is not available, but only for example, anorexia nervosa and bulimia nervosa, these can be included as “any” eating disorder, and labelled as “partial harmonization”. -Please specify how this variable was created, and whether the disorder was assessed through medical records or self-reported.",,,Any eating disorder,, -LifeCycle_CDM,core,preg_fever,Fever in pregnancy,,,1.0.0,,binary,,,,,"Any fever during pregnancy. +Please specify how this variable was created, and whether the disorder was assessed through medical records or self-reported.",,,Any eating disorder,,,False,,,,, +LifeCycle,core,preg_fever,Fever in pregnancy,,,1.0.0,,binary,,,,,"Any fever during pregnancy. -The variable is fully harmonised if data cover the whole pregnancy.",,,Fever during pregnancy,, -LifeCycle_CDM,core,preg_gain,Gestational weight gain,,,1.0.0,,continuous,kg,,,,"Maternal weight gain from conception to delivery. Use measured weight if available +The variable is fully harmonised if data cover the whole pregnancy.",,,Fever during pregnancy,,,False,,,,, +LifeCycle,core,preg_gain,Gestational weight gain,,,1.0.0,,continuous,kg,,,,"Maternal weight gain from conception to delivery. Use measured weight if available Negative values for weight loss: positive values for weight gain. 0 for no change. -Where gestational weight gain is calculated: take the measures perceived to be the best measurements.",,,Maternal weight,, -LifeCycle_CDM,core,preg_gain_mes,Gestational weight gain measurement,,,1.0.0,,categorical,,,,,Reported vs. measured gestational weight gain,,,Maternal weight,, -LifeCycle_CDM,core,preg_ht,Gestational hypertension,,,1.0.0,,binary,,,,,"Gestational hypertension (hypertension during pregnancy) is the new onset of hypertension after 20 weeks of gestation. The diagnosis requires that the patient have: +Where gestational weight gain is calculated: take the measures perceived to be the best measurements.",,,Maternal weight,,,False,,,,, +LifeCycle,core,preg_gain_mes,Gestational weight gain measurement,,,1.0.0,,categorical,,,,,Reported vs. measured gestational weight gain,,,Maternal weight,,,False,,,,, +LifeCycle,core,preg_ht,Gestational hypertension,,,1.0.0,,binary,,,,,"Gestational hypertension (hypertension during pregnancy) is the new onset of hypertension after 20 weeks of gestation. The diagnosis requires that the patient have: i) Elevated blood pressure (systolic ≥ 140 or diastolic ≥ 90 mm Hg, the latter measured using the fifth Korotkoff sound) ii) Previously normal blood pressures iii) No protein in the urine @@ -660,484 +596,443 @@ Gestational hypertension is diagnosed retrospectively when the patient does not Note: mothers coded as having gestational hypertension (preg_ht=1) should not be coded as also having preeclampsia/HELLP syndrome (preeclam≠1). -The variable is fully harmonised if data cover from 20 weeks until the end of pregnancy.",,,Preeclampsia/gestational hypertension,, -LifeCycle_CDM,core,preg_no,Pregnancy number,,,1.0.0,,integer,,,,,"Within-mother pregnancy number for each pregnancy included in the cohort. +The variable is fully harmonised if data cover from 20 weeks until the end of pregnancy.",,,Preeclampsia/gestational hypertension,,,False,,,,, +LifeCycle,core,preg_no,Pregnancy number,,,1.0.0,,integer,,,,,"Within-mother pregnancy number for each pregnancy included in the cohort. -Increases with each subsequent pregnancy included in the cohort (i.e. '1' is allocated to the first pregnancy included, '2' is allocated to the second pregnancy included, etc.). For cohorts with only one pregnancy per a mother, this number will always be '1'.",,,Pregnancy number,, -LifeCycle_CDM,core,preg_plan,Planned pregnancy,,,1.0.0,,binary,,,,,"Whether the pregnancy was planned or not planned. +Increases with each subsequent pregnancy included in the cohort (i.e. '1' is allocated to the first pregnancy included, '2' is allocated to the second pregnancy included, etc.). For cohorts with only one pregnancy per a mother, this number will always be '1'.",,,Pregnancy number,,,False,,,,, +LifeCycle,core,preg_plan,Planned pregnancy,,,1.0.0,,binary,,,,,"Whether the pregnancy was planned or not planned. -Partly planned includes cases where the mother has stopped using contraceptives in order to become pregnant",,,Planned pregnancy,, -PELAGIE,BDD_ethers,EAA_ENFANT,EAA Concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -LifeCycle_CDM,core,preg_psych,Maternal psychiatric disorders during pregnancy,,,1.0.0,,binary,,,,,"Any type of maternal psychiatric disorder during pregnancy (reported or diagnosed) +Partly planned includes cases where the mother has stopped using contraceptives in order to become pregnant",,,Planned pregnancy,,,False,,,,, +LifeCycle,core,preg_psych,Maternal psychiatric disorders during pregnancy,,,1.0.0,,binary,,,,,"Any type of maternal psychiatric disorder during pregnancy (reported or diagnosed) -If there are no details of any psychiatric disorder but there are details of, for example, depression and anxiety, these can be included as ""any"" psychiatric disorder; this will then be only partial harmonisation.",,,Any psychiatric disorder,, -LifeCycle_CDM,core,preg_smk,Maternal smoking in pregnancy (any),,,1.0.0,,binary,,,,,Any maternal smoking during pregnancy,,,Maternal smoking,, -LifeCycle_CDM,core,preg_thyroid,Thyroid disorders during pregnancy,,,1.0.0,,binary,,,,,"Hyper or hypo thyroid disorder during pregnancy +If there are no details of any psychiatric disorder but there are details of, for example, depression and anxiety, these can be included as ""any"" psychiatric disorder; this will then be only partial harmonisation.",,,Any psychiatric disorder,,,False,,,,, +LifeCycle,core,preg_smk,Maternal smoking in pregnancy (any),,,1.0.0,,binary,,,,,Any maternal smoking during pregnancy,,,Maternal smoking,,,False,,,,, +LifeCycle,core,preg_thyroid,Thyroid disorders during pregnancy,,,1.0.0,,binary,,,,,"Hyper or hypo thyroid disorder during pregnancy -The variable is fully harmonised if data cover the whole pregnancy",,,Maternal thyroid disorders,, -LifeCycle_CDM,core,prepreg_alc,Maternal pre-pregnancy alcohol intake (any),,,1.0.0,,binary,,,,,Did the mother drink alcohol before pregnancy (ever)?,,,Maternal alcohol intake,, -LifeCycle_CDM,core,prepreg_alc_unit,Maternal pre-pregnancy alcohol intake (units),,,1.0.0,,categorical,,,,,"Units of alcohol mother drank on average per week before pregnancy +The variable is fully harmonised if data cover the whole pregnancy",,,Maternal thyroid disorders,,,False,,,,, +LifeCycle,core,prepreg_alc,Maternal pre-pregnancy alcohol intake (any),,,1.0.0,,binary,,,,,Did the mother drink alcohol before pregnancy (ever)?,,,Maternal alcohol intake,,,False,,,,, +LifeCycle,core,prepreg_alc_unit,Maternal pre-pregnancy alcohol intake (units),,,1.0.0,,categorical,,,,,"Units of alcohol mother drank on average per week before pregnancy Alcohol consumption before pregnancy includes ≥ 14 units per week. During pregnancy this category is not included. See Strandberg-Larsen et al 2017 Eur J Epidemiol (https://doi.org/10.1007/s10654-017-0323-2) for conversion from days to weeks. -Non-drinkers categorised as 0 - never drinking alcohol",,,Maternal alcohol intake,, -LifeCycle_CDM,core,prepreg_an,Maternal history of anorexia nervosa,,,1.0.0,,binary,,,,,"Ideally AN should be present/ diagnosed before the index pregnancy, independently of whether it is active or not during the index pregnancy, and should include registry-based diagnoses or maternally-reported doctor-diagnosed AN. If both sources of information are available, consider registry-based AN. +Non-drinkers categorised as 0 - never drinking alcohol",,,Maternal alcohol intake,,,False,,,,, +LifeCycle,core,prepreg_an,Maternal history of anorexia nervosa,,,1.0.0,,binary,,,,,"Ideally AN should be present/ diagnosed before the index pregnancy, independently of whether it is active or not during the index pregnancy, and should include registry-based diagnoses or maternally-reported doctor-diagnosed AN. If both sources of information are available, consider registry-based AN. Partial harmonization includes: - Standardized questionnaires/criteria that refer to the pre-pregnancy period; - Maternal report of the history of AN with no specification on whether it is doctor-diagnosed or not; - Maternal report of the history of AN if no data on the period of the onset is available. -Please specify how this variable was created, and whether AN was assessed through medical records or self-reported.",,,Anorexia nervosa,, -LifeCycle_CDM,core,prepreg_anx,Maternal history of anxiety disorders,,,1.0.0,,binary,,,,,"Anxiety disorder should be present/ diagnosed before the index pregnancy, independently of whether it is active or not during the index pregnancy, and should include registry-based diagnoses or maternally-reported doctor-diagnosed disorders. If both sources of information are available, consider registry-based disorders. +Please specify how this variable was created, and whether AN was assessed through medical records or self-reported.",,,Anorexia nervosa,,,False,,,,, +LifeCycle,core,prepreg_anx,Maternal history of anxiety disorders,,,1.0.0,,binary,,,,,"Anxiety disorder should be present/ diagnosed before the index pregnancy, independently of whether it is active or not during the index pregnancy, and should include registry-based diagnoses or maternally-reported doctor-diagnosed disorders. If both sources of information are available, consider registry-based disorders. Partial harmonization includes: - Standardized questionnaires/criteria that refer to the pre-pregnancy period; - Maternal report of the history of anxiety disorders with no specification on whether it is doctor-diagnosed or not; - Maternal report of the history of anxiety disorders if no data on the exact period of the onset is available. -Please specify how this variable was created, and whether the disorder was assessed through medical records or self-reported.",,,Anxiety,, -LifeCycle_CDM,core,prepreg_bn,Maternal history of bulimia nervosa,,,1.0.0,,binary,,,,,"Ideally BN should be present/ diagnosed before the index pregnancy, independently of whether it is active or not during the index pregnancy, and should include registry-based diagnoses or maternally-reported doctor-diagnosed BN. If both sources of information are available, consider registry-based BN. +Please specify how this variable was created, and whether the disorder was assessed through medical records or self-reported.",,,Anxiety,,,False,,,,, +LifeCycle,core,prepreg_bn,Maternal history of bulimia nervosa,,,1.0.0,,binary,,,,,"Ideally BN should be present/ diagnosed before the index pregnancy, independently of whether it is active or not during the index pregnancy, and should include registry-based diagnoses or maternally-reported doctor-diagnosed BN. If both sources of information are available, consider registry-based BN. Partial harmonization includes: - Standardized questionnaires/criteria that refer to the pre-pregnancy period; - Maternal report of the history of BN with no specification on whether it is doctor-diagnosed or not; - Maternal report of the history of BN if no data on the period of the onset is available. -Please specify how this variable was created, and whether BN was assessed through medical records or self-reported.",,,Bulimia nervosa,, -LifeCycle_CDM,core,prepreg_cig,Maternal smoking before pregnancy (cigarettes),,,1.0.0,,categorical,,,,,"Cigarettes per a day before pregnancy (any time pre-partum) +Please specify how this variable was created, and whether BN was assessed through medical records or self-reported.",,,Bulimia nervosa,,,False,,,,, +LifeCycle,core,prepreg_cig,Maternal smoking before pregnancy (cigarettes),,,1.0.0,,categorical,,,,,"Cigarettes per a day before pregnancy (any time pre-partum) Cigars, pipes, cheroots should be converted into number of cigarettes (1:3). 1 cigar, pipe, cheroots etc.. is equivalent to 3 cigarettes. (OECD and The Danish Cancer Society). -Non-smokers categorised as 0 - none",,,Maternal smoking,, -LifeCycle_CDM,core,prepreg_dep,Maternal history of depressive disorders,,,1.0.0,,binary,,,,,"Depressive disorder should be present/ diagnosed before the index pregnancy, independently of whether it is active or not during the index pregnancy, and should include registry-based diagnoses or maternally-reported doctor-diagnosed disorders. If both sources of information are available, consider registry-based disorders. +Non-smokers categorised as 0 - none",,,Maternal smoking,,,False,,,,, +LifeCycle,core,prepreg_dep,Maternal history of depressive disorders,,,1.0.0,,binary,,,,,"Depressive disorder should be present/ diagnosed before the index pregnancy, independently of whether it is active or not during the index pregnancy, and should include registry-based diagnoses or maternally-reported doctor-diagnosed disorders. If both sources of information are available, consider registry-based disorders. Partial harmonization includes: - Standardized questionnaires/criteria that refer to the pre-pregnancy period; - Maternal report of the history of depressive disorders with no specification on whether it is doctor-diagnosed or not; - Maternal report of the history of depressive disorders if no data on the exact period of the onset is available. -Please specify how this variable was created, and whether the disorder was assessed through medical records or self-reported.",,,Depression,, -LifeCycle_CDM,core,prepreg_dia,History of diabetes,,,1.0.0,,categorical,,,,,Diagnosis of mother with diabetes before index pregnancy,,,Maternal diabetes,, -LifeCycle_CDM,core,prepreg_ed,Maternal history of any eating disorder,,,1.0.0,,binary,,,,,"Ideally a disorder should be present/ diagnosed before the index pregnancy, independently of whether it is active or not during the index pregnancy, and should include registry-based diagnoses or maternally-reported doctor-diagnosed disorders. If both sources of information are available, consider registry-based disorders. +Please specify how this variable was created, and whether the disorder was assessed through medical records or self-reported.",,,Depression,,,False,,,,, +LifeCycle,core,prepreg_dia,History of diabetes,,,1.0.0,,categorical,,,,,Diagnosis of mother with diabetes before index pregnancy,,,Maternal diabetes,,,False,,,,, +LifeCycle,core,prepreg_ed,Maternal history of any eating disorder,,,1.0.0,,binary,,,,,"Ideally a disorder should be present/ diagnosed before the index pregnancy, independently of whether it is active or not during the index pregnancy, and should include registry-based diagnoses or maternally-reported doctor-diagnosed disorders. If both sources of information are available, consider registry-based disorders. Partial harmonization includes: - Standardized questionnaires/criteria that refer to the pre-pregnancy period; - Maternal report of the history of eating disorders with no specification on whether it is doctor-diagnosed or not; - Maternal report of the history of eating disorders if no data on the period of the onset is available. - If “any eating disorder” is not available, but only for example, anorexia nervosa and bulimia nervosa, these can be included as “any” eating disorder, and labelled as “partial harmonization”. -Please specify how this variable was created, and whether the disorder was assessed through medical records or self-reported.",,,Any eating disorder,, -LifeCycle_CDM,core,prepreg_psych,Maternal pre-pregnancy psychiatric disorders,,,1.0.0,,binary,,,,,"Maternal history of any psychiatric disorder before pregnancy (self-reported or diagnosed) +Please specify how this variable was created, and whether the disorder was assessed through medical records or self-reported.",,,Any eating disorder,,,False,,,,, +LifeCycle,core,prepreg_psych,Maternal pre-pregnancy psychiatric disorders,,,1.0.0,,binary,,,,,"Maternal history of any psychiatric disorder before pregnancy (self-reported or diagnosed) -If there are no details of any psychiatric disorder but there are details of, for example, depression and anxiety, these can be included as ""any"" psychiatric disorder; this will then be only partial harmonisation.",,,Any psychiatric disorder,, -LifeCycle_CDM,core,prepreg_smk,Maternal pre-pregnancy smoking (any),,,1.0.0,,binary,,,,,Maternal smoking any time before pregnancy,,,Maternal smoking,, -LifeCycle_CDM,core,prepreg_weight,Pre-pregnancy weight,,,1.0.0,,continuous,kg,,,,"Use measured weight if available +If there are no details of any psychiatric disorder but there are details of, for example, depression and anxiety, these can be included as ""any"" psychiatric disorder; this will then be only partial harmonisation.",,,Any psychiatric disorder,,,False,,,,, +LifeCycle,core,prepreg_smk,Maternal pre-pregnancy smoking (any),,,1.0.0,,binary,,,,,Maternal smoking any time before pregnancy,,,Maternal smoking,,,False,,,,, +LifeCycle,core,prepreg_weight,Pre-pregnancy weight,,,1.0.0,,continuous,kg,,,,"Use measured weight if available -If pre-pregnancy weight is not available, use early pregnancy weight closest to conception, limited to 1st trimester (<12 weeks). If early pregnancy weight is used, the variable is partially harmonised. If an early pregnancy weight is used in place of pre-pregnancy weight, gestational age at time of measurement should be provided in variable ""prepreg_weight_ga"".",,,Maternal weight,, -LifeCycle_CDM,core,skipbreakf_sch,Skipping Breakfast (5-8 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (School),, -LifeCycle_CDM,core,prepreg_weight_ga,GA of mother when pre-pregnancy weight measured,,,1.0.0,,integer,day,,,,"Gestational age of mother when early pregnancy weight measured if early pregnancy weight is used as a surrogate for pre-pregnancy weight +If pre-pregnancy weight is not available, use early pregnancy weight closest to conception, limited to 1st trimester (<12 weeks). If early pregnancy weight is used, the variable is partially harmonised. If an early pregnancy weight is used in place of pre-pregnancy weight, gestational age at time of measurement should be provided in variable ""prepreg_weight_ga"".",,,Maternal weight,,,False,,,,, +LifeCycle,core,skipbreakf_sch,Skipping Breakfast (5-8 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (School),,,False,,,,, +LifeCycle,core,prepreg_weight_ga,GA of mother when pre-pregnancy weight measured,,,1.0.0,,integer,day,,,,"Gestational age of mother when early pregnancy weight measured if early pregnancy weight is used as a surrogate for pre-pregnancy weight -Missing if prepreg_weight is pre-pregnancy weight (as opposed to early pregnancy weight)",,,Maternal weight,, -LifeCycle_CDM,core,prepreg_weight_mes,Pre-pregnancy weight measurement,,,1.0.0,,binary,,,,,Reported vs. measured pre-pregnancy weight,,,Maternal weight,, -LifeCycle_CDM,core,procmeat_sch,Processed meat in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,psych_bf,Paternal history of psychiatric disorder,,,1.0.0,,binary,,,,,"Paternal history (biological father) of any type of psychiatric disorders before birth of the child (reported or diagnosed). +Missing if prepreg_weight is pre-pregnancy weight (as opposed to early pregnancy weight)",,,Maternal weight,,,False,,,,, +LifeCycle,core,prepreg_weight_mes,Pre-pregnancy weight measurement,,,1.0.0,,binary,,,,,Reported vs. measured pre-pregnancy weight,,,Maternal weight,,,False,,,,, +LifeCycle,core,procmeat_sch,Processed meat in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,psych_bf,Paternal history of psychiatric disorder,,,1.0.0,,binary,,,,,"Paternal history (biological father) of any type of psychiatric disorders before birth of the child (reported or diagnosed). If there are no details of any psychiatric disorder but there are details of, for example, depression and anxiety, these can be included as ""any"" psychiatric disorder; this will then be only partial harmonisation -State in the description of harmonisation whether the type of father was specified at time of data collection (i.e. whether these data definitely relate to the biological and not the social father)",,,Paternal psychiatric health,, -LifeCycle_CDM,core,pufas_pgn,Polyunsaturated fats intake during pregnancy,,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (M),, -LifeCycle_CDM,core,pufas_psc,Polyunsaturated fats intakein preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (Preschool),, -LifeCycle_CDM,core,pufas_sch,Polyunsaturated fats intake in school-age children (5-8 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (School),, -LifeCycle_CDM,core,pulses_pgn,"Legumes, nuts and their products during pregnancy",,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,pulses_psc,"Legumes, nuts and their products in preschool age (2-4 years)",,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,pulses_sch,"Legumes, nuts and their products in school-age children (5-8 years)",,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,recruit_age,Recruitment age,,,1.0.0,,integer,day,,,,"Age of the child at time of enrolment. In days. Negative if prepartum, positive if postpartum",,,Recruitment age,, -LifeCycle_CDM,core,redmeat_pgn,Red meat during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,redmeat_psc,Red meat during in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,redmeat_sch,Red meat during in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,region_fa,Father’s world region of birth,,,1.0.0,,categorical,,,,,,,,Paternal country of birth,, -LifeCycle_CDM,core,region_mo,Mother’s world region of birth,,,1.0.0,,categorical,,,,,,,,Maternal country of birth,, -LifeCycle_CDM,core,reledu_fa,Father’s educational selectivity,,,1.0.0,,integer,,,,,Percentile position in the country of birth’s educational attainment distribution of men born in the same year (form 0 – least negatively selected to 100 – most positively selected),,,Paternal education (core),, -LifeCycle_CDM,core,reledu_mo,Mother’s educational selectivity,,,1.0.0,,integer,,,,,Percentile position in the country of birth’s educational attainment distribution of women born in the same year (form 0 – least negatively selected to 100 – most positively selected),,,Maternal education (core),, -LifeCycle_CDM,core,satfat_pgn,Saturated Fats intake during pregnancy,,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (M),, -LifeCycle_CDM,core,satfat_psc,Saturated Fats intake in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (Preschool),, -LifeCycle_CDM,core,satfat_sch,Saturated Fats in school-age children (5-8 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (School),, -LifeCycle_CDM,core,sav_pgn,Savory biscuits and crisps during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,sav_psc,Savory biscuits and crisps in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,sav_sch,Savory biscuits and crisps in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,screenage_psc,Exact age at screen time (tv_psc and screenoth_psc) data collection in years,,,1.0.0,,continuous,year,,,,"When available, we took the questionnaire return date.",,,Preschool screen times,, -LifeCycle_CDM,core,screenoth_psc,"Child’s screen watching (minus tv) duration in h /day, at preschool age",,,1.0.0,,continuous,hours_per_day,,,,"As the number of screen existing at questionnaire time is highly dependant on the year of the cohort launch, we chose to sum any other screen for which we had the info in the cohort (computer, tablet, phone, etc.)",,,Preschool screen times,, -LifeCycle_CDM,core,sex,Sex of the child,,,1.0.0,,binary,,,,,,,,Sex,, -LifeCycle_CDM,core,sibling_pos,Sibling position,,,1.0.0,,categorical,,,,,"Previous live births from the mother regardless of whether they are living in the index child's household or not. Includes the index child (i.e. if index child is first born, then sibling_pos= 1)",,,Sibling position,, -LifeCycle_CDM,core,skipbreakf_psc,Skipping Breakfast (2-4 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (Preschool),, -LifeCycle_CDM,core,sleept_psc,"Child’s total sleep duration in h /day, at preschool age",,,1.0.0,,continuous,hours_per_day,,,,Obtained by accounting for daytime (nap) and night time sleep,,,Preschool sleep,, -LifeCycle_CDM,core,sleeptage_psc,Exact age at total sleep (sleept_psc) data collection in years,,,1.0.0,,continuous,year,,,,"When available, we took the questionnaire return date.",,,Preschool sleep,, -LifeCycle_CDM,core,smk_cig_p,Paternal smoking during pregnancy (cigarettes),,,1.0.0,,categorical,,,,,"Average number of cigarettes father smoked per day during pregnancy - -Cigars, pipes, cheroots should be converted into number of cigarettes (1:3). 1 cigar, pipe, cheroot etc. is equivalent to 3 cigarettes.",,,Paternal smoking,, -LifeCycle_CDM,core,smk_exp0,Passive smoking (age ≥0 to <1year),,,1.0.0,,binary,,,,,"Any exposure to smoking (mother, biological father, social father, any smokers close to the child, or exposure to smoke in the home) from birth up to 1st birthday (age range ≥0 to <1year)",,,Passive smoking,, -LifeCycle_CDM,core,smk_fath,"Father type, paternal smoking during pregnancy",,,1.0.0,,categorical,,,,,"Variable indicating whether paternal smoking during pregnancy variables (smk_p and smk_cig_p) are for the biological father, the social father or whether this is unknown",,,Paternal smoking,, -LifeCycle_CDM,core,smk_p,Paternal smoking during pregnancy (any),,,1.0.0,,binary,,,,,Indicates whether the father smoked during pregnancy,,,Paternal smoking,, -LifeCycle_CDM,core,smk_t1,Smoking in 1. trimester,,,1.0.0,,binary,,,,,Any maternal smoking in first trimester of pregnancy,,,Maternal smoking,, -LifeCycle_CDM,core,snacks_psc,Snacking frequency per day (2-4 years),,,1.0.0,,continuous,times_per_day,,,,,,,Dietary behavior (Preschool),, -LifeCycle_CDM,core,snacks_sch,Snacking frequency per day (5-8 years),,,1.0.0,,continuous,times_per_day,,,,,,,Dietary behavior (School),, -LifeCycle_CDM,core,solid_food,Solid fod introduction,,,1.0.0,,continuous,month,,,,"Age of the child when solid food was introduced - -Upper limit of 6 months; durations greater than 6 months assigned the value 6 months",,,Solid food introduction,, -LifeCycle_CDM,core,sugar_pgn,"Sugar, sugar products, chocolate products and confectionery during pregnancy",,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,sugar_psc,"Sugar, sugar products, chocolate products and confectionery in preschool age (2-4 years)",,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,sugar_sch,"Sugar, sugar products, chocolate products and confectionery in school-age children (5-8 years)",,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,supp_pgn,Supplements during pregnancy,,,1.0.0,,binary,,,,,,,,Supplements (M),, -LifeCycle_CDM,core,supp_psc,Any dietary supplements intake in preschool age (2-4 years),,,1.0.0,,binary,,,,,,,,Supplements (Preschool),, -LifeCycle_CDM,core,swebev_pgn,Sugar-sweetened beverages during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,swebev_psc,Sugar-sweetened beverages in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -LifeCycle_CDM,core,swebev_sch,Sugar-sweetened beverages in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,tm_1,average of mean temperature during first year (>0 year and <=1 year),,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,mean_temperature,, -LifeCycle_CDM,core,tm_preg,average of mean temperature during pregnancy,,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,mean_temperature,, -LifeCycle_CDM,core,tm_t1,average of mean temperature during first trimester,,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,mean_temperature,, -LifeCycle_CDM,core,tmax_1,average of maximum temperature during first year (>0 year and <=1 year),,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,maximum_temperature,, -LifeCycle_CDM,core,tmax_preg,average of maximum temperature during pregnancy,,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,maximum_temperature,, -LifeCycle_CDM,core,tmax_t1,average of maximum temperature during first trimester,,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,maximum_temperature,, -LifeCycle_CDM,core,tmin_1,average of minimum temperature during first year (>0 year and <=1 year),,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,minimum_temperature,, -LifeCycle_CDM,core,tmin_preg,average of minimum temperature during pregnancy,,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,minimum_temperature,, -LifeCycle_CDM,core,tmin_t1,average of minimum temperature during first trimester,,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,minimum_temperature,, -LongITools_CDM,wave_01,alc,Alcohol intake,,,1.0.0,,categorical,,,,,Does the study participant currently drink alcohol? Provide repeated measures in long format with corresponding age in years.,,,,, -LifeCycle_CDM,core,totcarb_pgn,Total carbohydrate intake during pregnancy,,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (M),, -LifeCycle_CDM,core,totcarb_psc,Total carbohydrate intake in preschool age (2-4 years),,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (Preschool),, -LifeCycle_CDM,core,totcarb_sch,Total carbohydrate intake in school-age children (5-8 years),,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (School),, -LifeCycle_CDM,core,totfat_pgn,Total Fat intake during pregnancy,,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (M),, -LifeCycle_CDM,core,totfat_psc,Total Fat intake in preschool age (2-4 years),,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (Preschool),, -LifeCycle_CDM,core,totfat_sch,Total Fat intake in school-age children (5-8 years),,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (School),, -LifeCycle_CDM,core,totprot_pgn,Total Protein intake during pregnancy,,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (M),, -LifeCycle_CDM,core,totprot_psc,Total Protein intake in preschool age (2-4 years),,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (Preschool),, -LifeCycle_CDM,core,totprot_sch,Total Protein intake in school-age children (5-8 years),,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (School),, -LifeCycle_CDM,core,trafload100_0,total traffic load of all roads within a buffer of 100 m at birth,,,1.0.0,,continuous,vehicles_per_day_and_meter,,,,using different local data for each cohort,,,traffic_load_all_roads,, -LifeCycle_CDM,core,trafload100_preg,total traffic load of all roads within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,vehicles_per_day_and_meter,,,,using different local data for each cohort,,,traffic_load_all_roads,, -LifeCycle_CDM,core,trafload100_t1,total traffic load of all roads within a buffer of 100 m at first trimester,,,1.0.0,,continuous,vehicles_per_day_and_meter,,,,using different local data for each cohort,,,traffic_load_all_roads,, -LifeCycle_CDM,core,trafmajorload100_0,total traffic load of major roads within a buffer of 100 m at birth,,,1.0.0,,continuous,vehicles_per_day_and_meter,,,,using different local data for each cohort,,,traffic_load_major_roads,, -LifeCycle_CDM,core,trafmajorload100_preg,total traffic load of major roads within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,vehicles_per_day_and_meter,,,,using different local data for each cohort,,,traffic_load_major_roads,, -LifeCycle_CDM,core,trafmajorload100_t1,total traffic load of major roads within a buffer of 100 m at first trimester,,,1.0.0,,continuous,vehicles_per_day_and_meter,,,,using different local data for each cohort,,,traffic_load_major_roads,, -LifeCycle_CDM,core,trafnear_0,traffic density on nearest road at birth,,,1.0.0,,continuous,vehicles_per_day,,,,using different local data for each cohort,,,traffic_density,, -LifeCycle_CDM,core,trafnear_preg,traffic density on nearest road at pregnancy,,,1.0.0,,continuous,vehicles_per_day,,,,using different local data for each cohort,,,traffic_density,, -LifeCycle_CDM,core,trafnear_t1,traffic density on nearest road at first trimester,,,1.0.0,,continuous,vehicles_per_day,,,,using different local data for each cohort,,,traffic_density,, -LifeCycle_CDM,core,trans_0,"percentage of trans (road and rail network and associated land, fast transit roads and associated land, other roads and associated land, railways and associated land) land use within a buffer of 300 m at birth",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_transports,, -LifeCycle_CDM,core,trans_preg,"percentage of trans (road and rail network and associated land, fast transit roads and associated land, other roads and associated land, railways and associated land) land use within a buffer of 300 m at pregnancy",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_port,, -NFBC1966,core,age_fdg26,age_fdg26,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,core,trans_t1,"percentage of trans (road and rail network and associated land, fast transit roads and associated land, other roads and associated land, railways and associated land) land use within a buffer of 300 m at first trimester",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_transports,, -LifeCycle_CDM,core,transfat_pgn,Trans Fats intake during pregnancy,,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (M),, -LifeCycle_CDM,core,transfat_psc,Trans Fats intake in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (Preschool),, -NFBC1966,core,C6600Q_F12v002,C6600Q_F12v002,,,1.0.0,,categorical,,,,,Marital status during pregnancy,,,,, -LifeCycle_CDM,core,transfat_sch,Trans Fats intake in school-age children (5-8 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (School),, -NFBC1966,core,C6600Q_F12v051,C6600Q_F12v051,,,1.0.0,,categorical,,,,,Has the mother's mood during this pregnancy been,,,,, -LifeCycle_CDM,core,tv_psc,"Child’s tv watching duration in h /day, at preschool age",,,1.0.0,,continuous,hours_per_day,,,,,,,Preschool screen times,, -LifeCycle_CDM,core,tveat_psc,Eating with the TV on (2-4 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (Preschool),, -LifeCycle_CDM,core,tveat_sch,Eating with the TV on (5-8 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (School),, -LifeCycle_CDM,core,urb_area_id,unique identifier for the urban area,,,1.0.0,,categorical,,,,,,,,Urban area id,, -LifeCycle_CDM,core,urbgr_0,"percentage of urbgr (green urban areas, sports and leisure facilities) land use within a buffer of 300 m at birth",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_green_urban,, -LifeCycle_CDM,core,urbgr_preg,"percentage of urbgr (green urban areas, sports and leisure facilities) land use within a buffer of 300 m at pregnancy",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_transports,, -LifeCycle_CDM,core,urbgr_t1,"percentage of urbgr (green urban areas, sports and leisure facilities) land use within a buffer of 300 m at first trimester",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_green_urban,, -LifeCycle_CDM,core,uvddc_1,average of DNA-damage UV dose during first year (>0 year and <=1 year),,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,DNA_damage_UV_dose,, -LifeCycle_CDM,core,uvddc_preg,average of DNA-damage UV dose during pregnancy,,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,DNA_damage_UV_dose,, -LifeCycle_CDM,core,uvddc_t1,average of DNA-damage UV dose during first trimester,,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,DNA_damage_UV_dose,, -LifeCycle_CDM,core,whgrains_pgn,Whole grain cereals during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,uvdec_1,average of erythemal UV dose during first year (>0 year and <=1 year),,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,erythemal_UV_dose,, -LifeCycle_CDM,core,uvdec_preg,average of erythemal UV dose during pregnancy,,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,erythemal_UV_dose,, -LifeCycle_CDM,core,uvdec_t1,average of erythemal UV dose during first trimester,,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,erythemal_UV_dose,, -LifeCycle_CDM,core,uvdvc_1,average of vitamin-d UV dose during first year (>0 year and <=1 year),,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,vitamin_d_UV_dose,, -LifeCycle_CDM,core,uvdvc_preg,average of vitamin-d UV dose during pregnancy,,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,vitamin_d_UV_dose,, -LifeCycle_CDM,core,uvdvc_t1,average of vitamin-d UV dose during first trimester,,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,vitamin_d_UV_dose,, -LifeCycle_CDM,core,veg_pgn,Vegetables without potatoes during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),, -LifeCycle_CDM,core,veg_psc,Vegetables without potatoes in preschool age (2-4 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (Preschool),, -LongITools_CDM,wave_01,smk_ever,"Smoking, ever",,,1.0.0,,categorical,,,,,Has the study participant ever smoked regularly? Provide repeated measures in long format with corresponding age in years.,,,,, -LifeCycle_CDM,core,veg_sch,Vegetables without potatoes in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,core,vldres_0,percentage of vldres (discontinuous very low density urban fabric) land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_low_density,, -LifeCycle_CDM,core,vldres_preg,percentage of vldres (discontinuous very low density urban fabric) land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_green_urban,, -LifeCycle_CDM,core,vldres_t1,percentage of vldres (discontinuous very low density urban fabric) land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_low_density,, -NFBC1966,core,age_mdg19,age_mdg19,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -ATHLETE_CDM,outcome_ath,ggt_0,Repeated measures of child’s gamma-glutamyl transferase concentrations,,,,,continuous,unit per liter,,,,Repeated measures of child’s gamma-glutamyl transferase concentrations: ggt_0: assessed within one year of childbirth (>0 year and <1 year) ggt_1: assessed when the child was aged between ≥ 1 year and < 2 years … ggt_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,, -LifeCycle_CDM,outcome,adhd_pro_0,total ADHD score after prorating adhd_raw_0,,,1.0.0,,continuous,,,,,,,,ADHD symptoms,, -LifeCycle_CDM,core,walkability_mean_0,"walkability index (as mean of deciles of facility richness index, landuse shannon's Evenness Index, population density, connectivity density) within a buffer of 300 m at birth",,,1.0.0,,continuous,,,,,"facility richness: using the same source for all the cohorts (NAVTEQ); landuse shannon's Evenness Index: using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer), population density: using Global Human Settlement Layer (GHSL) except for MOBA (local layer), connectivity density: using the same source for all the cohorts (NAVTEQ)",,,walkability,, -LifeCycle_CDM,core,whgrains_psc,Whole grain cereals in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),, -PELAGIE,BDD_ethers,EEAA,EEAA concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,, -LifeCycle_CDM,core,walkability_mean_preg,"walkability index (as mean of deciles of facility richness index, landuse shannon's Evenness Index, population density, connectivity density) within a buffer of 300 m at pregnancy",,,1.0.0,,continuous,,,,,"facility richness: using the same source for all the cohorts (NAVTEQ); landuse shannon's Evenness Index: using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer), population density: using Global Human Settlement Layer (GHSL) except for MOBA (local layer), connectivity density: using the same source for all the cohorts (NAVTEQ)",,,walkability,, -LifeCycle_CDM,core,walkability_mean_t1,"walkability index (as mean of deciles of facility richness index, landuse shannon's Evenness Index, population density, connectivity density) within a buffer of 300 m at first trimester",,,1.0.0,,continuous,,,,,"facility richness: using the same source for all the cohorts (NAVTEQ); landuse shannon's Evenness Index: using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer), population density: using Global Human Settlement Layer (GHSL) except for MOBA (local layer), connectivity density: using the same source for all the cohorts (NAVTEQ)",,,walkability,, -LifeCycle_CDM,core,water_0,percentage of water land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_water,, -LifeCycle_CDM,core,water_preg,percentage of water land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_water,, -LifeCycle_CDM,core,water_t1,percentage of water land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_water,, -LifeCycle_CDM,core,weight_0,Child's weight (0 and <1 month,,,1.0.0,,continuous,kg,,,,Child's weight measured between the ages of 0 and <1 month. This does not include the child’s birth weight,,,Child's weight,, -LifeCycle_CDM,core,weight_age0,"Exact age, weight_0",,,1.0.0,,integer,day,,,,Exact age of the child (in days) when child's weight was recorded for weight_0,,,Child's weight,, -LifeCycle_CDM,core,weight_f1,"Paternal weight, primary father",,,1.0.0,,continuous,kg,,,,"Primary/main father figure´s weight reported in first paternal questionnaire +State in the description of harmonisation whether the type of father was specified at time of data collection (i.e. whether these data definitely relate to the biological and not the social father)",,,Paternal psychiatric health,,,False,,,,, +LifeCycle,core,pufas_pgn,Polyunsaturated fats intake during pregnancy,,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (M),,,False,,,,, +LifeCycle,core,pufas_psc,Polyunsaturated fats intakein preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (Preschool),,,False,,,,, +LifeCycle,core,pufas_sch,Polyunsaturated fats intake in school-age children (5-8 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (School),,,False,,,,, +LifeCycle,core,pulses_pgn,"Legumes, nuts and their products during pregnancy",,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,pulses_psc,"Legumes, nuts and their products in preschool age (2-4 years)",,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,pulses_sch,"Legumes, nuts and their products in school-age children (5-8 years)",,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,recruit_age,Recruitment age,,,1.0.0,,integer,day,,,,"Age of the child at time of enrolment. In days. Negative if prepartum, positive if postpartum",,,Recruitment age,,,False,,,,, +LifeCycle,core,redmeat_pgn,Red meat during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,redmeat_psc,Red meat during in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,redmeat_sch,Red meat during in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,region_fa,Father’s world region of birth,,,1.0.0,,categorical,,,,,,,,Paternal country of birth,,,False,,,,, +LifeCycle,core,region_mo,Mother’s world region of birth,,,1.0.0,,categorical,,,,,,,,Maternal country of birth,,,False,,,,, +LifeCycle,core,reledu_fa,Father’s educational selectivity,,,1.0.0,,integer,,,,,Percentile position in the country of birth’s educational attainment distribution of men born in the same year (form 0 – least negatively selected to 100 – most positively selected),,,Paternal education (core),,,False,,,,, +LifeCycle,core,reledu_mo,Mother’s educational selectivity,,,1.0.0,,integer,,,,,Percentile position in the country of birth’s educational attainment distribution of women born in the same year (form 0 – least negatively selected to 100 – most positively selected),,,Maternal education (core),,,False,,,,, +LifeCycle,core,satfat_pgn,Saturated Fats intake during pregnancy,,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (M),,,False,,,,, +LifeCycle,core,satfat_psc,Saturated Fats intake in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (Preschool),,,False,,,,, +LifeCycle,core,satfat_sch,Saturated Fats in school-age children (5-8 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (School),,,False,,,,, +LifeCycle,core,sav_pgn,Savory biscuits and crisps during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,sav_psc,Savory biscuits and crisps in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,sav_sch,Savory biscuits and crisps in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,screenage_psc,Exact age at screen time (tv_psc and screenoth_psc) data collection in years,,,1.0.0,,continuous,year,,,,"When available, we took the questionnaire return date.",,,Preschool screen times,,,False,,,,, +LifeCycle,core,screenoth_psc,"Child’s screen watching (minus tv) duration in h /day, at preschool age",,,1.0.0,,continuous,hours_per_day,,,,"As the number of screen existing at questionnaire time is highly dependant on the year of the cohort launch, we chose to sum any other screen for which we had the info in the cohort (computer, tablet, phone, etc.)",,,Preschool screen times,,,False,,,,, +LifeCycle,core,sex,Sex of the child,,,1.0.0,,binary,,,,,,,,Sex,,,False,,,,, +LifeCycle,core,sibling_pos,Sibling position,,,1.0.0,,categorical,,,,,"Previous live births from the mother regardless of whether they are living in the index child's household or not. Includes the index child (i.e. if index child is first born, then sibling_pos= 1)",,,Sibling position,,,False,,,,, +LifeCycle,core,skipbreakf_psc,Skipping Breakfast (2-4 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (Preschool),,,False,,,,, +LifeCycle,core,sleept_psc,"Child’s total sleep duration in h /day, at preschool age",,,1.0.0,,continuous,hours_per_day,,,,Obtained by accounting for daytime (nap) and night time sleep,,,Preschool sleep,,,False,,,,, +LifeCycle,core,sleeptage_psc,Exact age at total sleep (sleept_psc) data collection in years,,,1.0.0,,continuous,year,,,,"When available, we took the questionnaire return date.",,,Preschool sleep,,,False,,,,, +LifeCycle,core,smk_cig_p,Paternal smoking during pregnancy (cigarettes),,,1.0.0,,categorical,,,,,"Average number of cigarettes father smoked per day during pregnancy + +Cigars, pipes, cheroots should be converted into number of cigarettes (1:3). 1 cigar, pipe, cheroot etc. is equivalent to 3 cigarettes.",,,Paternal smoking,,,False,,,,, +LifeCycle,core,smk_exp,Passive smoking (age ≥0 to <1year),,,1.0.0,,binary,,,,,"Any exposure to smoking (mother, biological father, social father, any smokers close to the child, or exposure to smoke in the home) from birth up to 1st birthday (age range ≥0 to <1year)",,,Passive smoking,,,True,Trimester,0,3,, +LifeCycle,core,smk_fath,"Father type, paternal smoking during pregnancy",,,1.0.0,,categorical,,,,,"Variable indicating whether paternal smoking during pregnancy variables (smk_p and smk_cig_p) are for the biological father, the social father or whether this is unknown",,,Paternal smoking,,,False,,,,, +LifeCycle,core,smk_p,Paternal smoking during pregnancy (any),,,1.0.0,,binary,,,,,Indicates whether the father smoked during pregnancy,,,Paternal smoking,,,False,,,,, +LifeCycle,core,smk_t,Smoking in 1. trimester,,,1.0.0,,binary,,,,,Any maternal smoking in first trimester of pregnancy,,,Maternal smoking,,,True,Trimester,0,3,, +LifeCycle,core,snacks_psc,Snacking frequency per day (2-4 years),,,1.0.0,,continuous,times_per_day,,,,,,,Dietary behavior (Preschool),,,False,,,,, +LifeCycle,core,snacks_sch,Snacking frequency per day (5-8 years),,,1.0.0,,continuous,times_per_day,,,,,,,Dietary behavior (School),,,False,,,,, +LifeCycle,core,solid_food,Solid fod introduction,,,1.0.0,,continuous,month,,,,"Age of the child when solid food was introduced + +Upper limit of 6 months; durations greater than 6 months assigned the value 6 months",,,Solid food introduction,,,False,,,,, +LifeCycle,core,sugar_pgn,"Sugar, sugar products, chocolate products and confectionery during pregnancy",,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,sugar_psc,"Sugar, sugar products, chocolate products and confectionery in preschool age (2-4 years)",,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,sugar_sch,"Sugar, sugar products, chocolate products and confectionery in school-age children (5-8 years)",,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,supp_pgn,Supplements during pregnancy,,,1.0.0,,binary,,,,,,,,Supplements (M),,,False,,,,, +LifeCycle,core,supp_psc,Any dietary supplements intake in preschool age (2-4 years),,,1.0.0,,binary,,,,,,,,Supplements (Preschool),,,False,,,,, +LifeCycle,core,swebev_pgn,Sugar-sweetened beverages during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,swebev_psc,Sugar-sweetened beverages in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,swebev_sch,Sugar-sweetened beverages in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,tm_,average of mean temperature during first year (>0 year and <=1 year),,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,mean_temperature,,,False,,,,, +LifeCycle,core,tm_preg,average of mean temperature during pregnancy,,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,mean_temperature,,,False,,,,, +LifeCycle,core,tm_t,average of mean temperature during first trimester,,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,mean_temperature,,,False,,,,, +LifeCycle,core,tmax_,average of maximum temperature during first year (>0 year and <=1 year),,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,maximum_temperature,,,False,,,,, +LifeCycle,core,tmax_preg,average of maximum temperature during pregnancy,,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,maximum_temperature,,,False,,,,, +LifeCycle,core,tmax_t,average of maximum temperature during first trimester,,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,maximum_temperature,,,False,,,,, +LifeCycle,core,tmin_,average of minimum temperature during first year (>0 year and <=1 year),,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,minimum_temperature,,,False,,,,, +LifeCycle,core,tmin_preg,average of minimum temperature during pregnancy,,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,minimum_temperature,,,False,,,,, +LifeCycle,core,tmin_t,average of minimum temperature during first trimester,,,1.0.0,,continuous,degree_celsius,,,,using local meteorologic stations,,,minimum_temperature,,,False,,,,, +LifeCycle,core,totcarb_pgn,Total carbohydrate intake during pregnancy,,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (M),,,False,,,,, +LifeCycle,core,totcarb_psc,Total carbohydrate intake in preschool age (2-4 years),,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (Preschool),,,False,,,,, +LifeCycle,core,totcarb_sch,Total carbohydrate intake in school-age children (5-8 years),,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (School),,,False,,,,, +LifeCycle,core,totfat_pgn,Total Fat intake during pregnancy,,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (M),,,False,,,,, +LifeCycle,core,totfat_psc,Total Fat intake in preschool age (2-4 years),,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (Preschool),,,False,,,,, +LifeCycle,core,totfat_sch,Total Fat intake in school-age children (5-8 years),,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (School),,,False,,,,, +LifeCycle,core,totprot_pgn,Total Protein intake during pregnancy,,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (M),,,False,,,,, +LifeCycle,core,totprot_psc,Total Protein intake in preschool age (2-4 years),,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (Preschool),,,False,,,,, +LifeCycle,core,totprot_sch,Total Protein intake in school-age children (5-8 years),,,1.0.0,,continuous,gram_per_day,,,,,,,Nutrients (School),,,False,,,,, +LifeCycle,core,trafload100_,total traffic load of all roads within a buffer of 100 m at birth,,,1.0.0,,continuous,vehicles_per_day_and_meter,,,,using different local data for each cohort,,,traffic_load_all_roads,,,False,,,,, +LifeCycle,core,trafload100_preg,total traffic load of all roads within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,vehicles_per_day_and_meter,,,,using different local data for each cohort,,,traffic_load_all_roads,,,False,,,,, +LifeCycle,core,trafload100_t,total traffic load of all roads within a buffer of 100 m at first trimester,,,1.0.0,,continuous,vehicles_per_day_and_meter,,,,using different local data for each cohort,,,traffic_load_all_roads,,,False,,,,, +LifeCycle,core,trafmajorload100_,total traffic load of major roads within a buffer of 100 m at birth,,,1.0.0,,continuous,vehicles_per_day_and_meter,,,,using different local data for each cohort,,,traffic_load_major_roads,,,False,,,,, +LifeCycle,core,trafmajorload100_preg,total traffic load of major roads within a buffer of 100 m at pregnancy,,,1.0.0,,continuous,vehicles_per_day_and_meter,,,,using different local data for each cohort,,,traffic_load_major_roads,,,False,,,,, +LifeCycle,core,trafmajorload100_t,total traffic load of major roads within a buffer of 100 m at first trimester,,,1.0.0,,continuous,vehicles_per_day_and_meter,,,,using different local data for each cohort,,,traffic_load_major_roads,,,False,,,,, +LifeCycle,core,trafnear_,traffic density on nearest road at birth,,,1.0.0,,continuous,vehicles_per_day,,,,using different local data for each cohort,,,traffic_density,,,False,,,,, +LifeCycle,core,trafnear_preg,traffic density on nearest road at pregnancy,,,1.0.0,,continuous,vehicles_per_day,,,,using different local data for each cohort,,,traffic_density,,,False,,,,, +LifeCycle,core,trafnear_t,traffic density on nearest road at first trimester,,,1.0.0,,continuous,vehicles_per_day,,,,using different local data for each cohort,,,traffic_density,,,False,,,,, +LifeCycle,core,trans_,"percentage of trans (road and rail network and associated land, fast transit roads and associated land, other roads and associated land, railways and associated land) land use within a buffer of 300 m at birth",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_transports,,,False,,,,, +LifeCycle,core,trans_preg,"percentage of trans (road and rail network and associated land, fast transit roads and associated land, other roads and associated land, railways and associated land) land use within a buffer of 300 m at pregnancy",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_port,,,False,,,,, +LifeCycle,core,veg_sch,Vegetables without potatoes in school-age children (5-8 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,core,trans_t,"percentage of trans (road and rail network and associated land, fast transit roads and associated land, other roads and associated land, railways and associated land) land use within a buffer of 300 m at first trimester",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_transports,,,False,,,,, +LifeCycle,core,transfat_pgn,Trans Fats intake during pregnancy,,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (M),,,False,,,,, +LifeCycle,core,transfat_psc,Trans Fats intake in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (Preschool),,,False,,,,, +LifeCycle,core,transfat_sch,Trans Fats intake in school-age children (5-8 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Nutrients (School),,,False,,,,, +LifeCycle,core,tv_psc,"Child’s tv watching duration in h /day, at preschool age",,,1.0.0,,continuous,hours_per_day,,,,,,,Preschool screen times,,,False,,,,, +LifeCycle,core,tveat_psc,Eating with the TV on (2-4 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (Preschool),,,False,,,,, +LifeCycle,core,tveat_sch,Eating with the TV on (5-8 years),,,1.0.0,,continuous,times_per_week,,,,,,,Dietary behavior (School),,,False,,,,, +LifeCycle,core,urb_area_id,unique identifier for the urban area,,,1.0.0,,categorical,,,,,,,,Urban area id,,,False,,,,, +LifeCycle,core,urbgr_,"percentage of urbgr (green urban areas, sports and leisure facilities) land use within a buffer of 300 m at birth",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_green_urban,,,False,,,,, +LifeCycle,core,urbgr_preg,"percentage of urbgr (green urban areas, sports and leisure facilities) land use within a buffer of 300 m at pregnancy",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_transports,,,False,,,,, +LifeCycle,core,urbgr_t,"percentage of urbgr (green urban areas, sports and leisure facilities) land use within a buffer of 300 m at first trimester",,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_green_urban,,,False,,,,, +LifeCycle,core,uvddc_,average of DNA-damage UV dose during first year (>0 year and <=1 year),,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,DNA_damage_UV_dose,,,False,,,,, +LifeCycle,core,uvddc_preg,average of DNA-damage UV dose during pregnancy,,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,DNA_damage_UV_dose,,,False,,,,, +LifeCycle,core,uvddc_t,average of DNA-damage UV dose during first trimester,,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,DNA_damage_UV_dose,,,False,,,,, +LifeCycle,core,whgrains_pgn,Whole grain cereals during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,uvdec_,average of erythemal UV dose during first year (>0 year and <=1 year),,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,erythemal_UV_dose,,,False,,,,, +LifeCycle,core,uvdec_preg,average of erythemal UV dose during pregnancy,,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,erythemal_UV_dose,,,False,,,,, +LifeCycle,core,uvdec_t,average of erythemal UV dose during first trimester,,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,erythemal_UV_dose,,,False,,,,, +LifeCycle,core,uvdvc_,average of vitamin-d UV dose during first year (>0 year and <=1 year),,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,vitamin_d_UV_dose,,,False,,,,, +LifeCycle,core,uvdvc_preg,average of vitamin-d UV dose during pregnancy,,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,vitamin_d_UV_dose,,,False,,,,, +LifeCycle,core,uvdvc_t,average of vitamin-d UV dose during first trimester,,,1.0.0,,continuous,kilojoules_per_square_meter,,,,"using TEMIS (http://www.temis.nl/index.php), a web-based service to browse and download atmospheric satellite data products (version 2.0 except for MOBA that version 1.0 is used)",,,vitamin_d_UV_dose,,,False,,,,, +LifeCycle,core,veg_pgn,Vegetables without potatoes during pregnancy,,,1.0.0,,continuous,servings_per_day,,,,Based on Eurocode 2 Food Coding System,,,Food groups (M),,,False,,,,, +LifeCycle,core,veg_psc,Vegetables without potatoes in preschool age (2-4 years),,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,vldres_,percentage of vldres (discontinuous very low density urban fabric) land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_low_density,,,False,,,,, +LifeCycle,core,vldres_preg,percentage of vldres (discontinuous very low density urban fabric) land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_green_urban,,,False,,,,, +LifeCycle,core,vldres_t,percentage of vldres (discontinuous very low density urban fabric) land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_low_density,,,False,,,,, +ATHLETE,outcome_ath,ggt_,Repeated measures of child’s gamma-glutamyl transferase concentrations,,,,,continuous,unit per liter,,,,Repeated measures of child’s gamma-glutamyl transferase concentrations: ggt_0: assessed within one year of childbirth (>0 year and <1 year) ggt_1: assessed when the child was aged between ≥ 1 year and < 2 years … ggt_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,,,False,,,,, +LifeCycle,outcome,adhd_pro_,total ADHD score after prorating adhd_raw_0,,,1.0.0,,continuous,,,,,,,,ADHD symptoms,,,True,Trimester,0,3,, +LifeCycle,core,walkability_mean_,"walkability index (as mean of deciles of facility richness index, landuse shannon's Evenness Index, population density, connectivity density) within a buffer of 300 m at birth",,,1.0.0,,continuous,,,,,"facility richness: using the same source for all the cohorts (NAVTEQ); landuse shannon's Evenness Index: using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer), population density: using Global Human Settlement Layer (GHSL) except for MOBA (local layer), connectivity density: using the same source for all the cohorts (NAVTEQ)",,,walkability,,,False,,,,, +LifeCycle,core,whgrains_psc,Whole grain cereals in preschool age (2-4 years),,,1.0.0,,continuous,percent_total_food,,,,,,,Food groups (Preschool),,,False,,,,, +LifeCycle,core,walkability_mean_preg,"walkability index (as mean of deciles of facility richness index, landuse shannon's Evenness Index, population density, connectivity density) within a buffer of 300 m at pregnancy",,,1.0.0,,continuous,,,,,"facility richness: using the same source for all the cohorts (NAVTEQ); landuse shannon's Evenness Index: using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer), population density: using Global Human Settlement Layer (GHSL) except for MOBA (local layer), connectivity density: using the same source for all the cohorts (NAVTEQ)",,,walkability,,,False,,,,, +LifeCycle,core,walkability_mean_t,"walkability index (as mean of deciles of facility richness index, landuse shannon's Evenness Index, population density, connectivity density) within a buffer of 300 m at first trimester",,,1.0.0,,continuous,,,,,"facility richness: using the same source for all the cohorts (NAVTEQ); landuse shannon's Evenness Index: using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer), population density: using Global Human Settlement Layer (GHSL) except for MOBA (local layer), connectivity density: using the same source for all the cohorts (NAVTEQ)",,,walkability,,,False,,,,, +LifeCycle,core,water_,percentage of water land use within a buffer of 300 m at birth,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_water,,,False,,,,, +LifeCycle,core,water_preg,percentage of water land use within a buffer of 300 m at pregnancy,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_water,,,False,,,,, +LifeCycle,core,water_t,percentage of water land use within a buffer of 300 m at first trimester,,,1.0.0,,continuous,percent,,,,using URBANATLAS except for INMA GUIPUZCOA (EUNIS) and MOBA (local layer),,,main_land_use_water,,,False,,,,, +LifeCycle,core,weight_,Child's weight (0 and <1 month,,,1.0.0,,continuous,kg,,,,Child's weight measured between the ages of 0 and <1 month. This does not include the child’s birth weight,,,Child's weight,,,True,Week,0,42,, +LifeCycle,core,weight_age,"Exact age, weight_0",,,1.0.0,,integer,day,,,,Exact age of the child (in days) when child's weight was recorded for weight_0,,,Child's weight,,,True,Week,0,42,, +LifeCycle,core,weight_f,"Paternal weight, primary father",,,1.0.0,,continuous,kg,,,,"Primary/main father figure´s weight reported in first paternal questionnaire Use measured weight if available. -Note in the catalogue when it was recorded, i.e., which follow-up",,,Paternal weight,, -LifeCycle_CDM,core,weight_f1_fath,"Father type, weight_f1_fath",,,1.0.0,,categorical,,,,,"Variable indicating whether the weight recorded in weight_f1 is for the biological father, the social father, or whether this is unknown",,,Paternal weight,, -LifeCycle_CDM,core,weight_mes_f1,Paternal weight measurement,,,1.0.0,,categorical,,,,,Reported vs. measured weight,,,Paternal weight,, -LifeCycle_CDM,core,weight_who_ga,WHO size for gestational age,,,1.0.0,,categorical,,,,,"Weight of the child for gestational age at birth, categorised into small for gestational age (SGA), appropriate for gestational age (AGA) and large for gestational age (LGA). +Note in the catalogue when it was recorded, i.e., which follow-up",,,Paternal weight,,,False,,,,, +LifeCycle,core,weight_f1_fath,"Father type, weight_f1_fath",,,1.0.0,,categorical,,,,,"Variable indicating whether the weight recorded in weight_f1 is for the biological father, the social father, or whether this is unknown",,,Paternal weight,,,False,,,,, +LifeCycle,core,weight_mes_f,Paternal weight measurement,,,1.0.0,,categorical,,,,,Reported vs. measured weight,,,Paternal weight,,,False,,,,, +LifeCycle,core,weight_who_ga,WHO size for gestational age,,,1.0.0,,categorical,,,,,"Weight of the child for gestational age at birth, categorised into small for gestational age (SGA), appropriate for gestational age (AGA) and large for gestational age (LGA). Defined using the WHO foetal growth charts (Kiserud et al 2017) using the 5th and 95th percentiles as cut-off values for SGA and LGA respectively . Tables 14 and 15 are the reference tables for females and males (respectively) born <40 completed weeks. Table 4 is the reference table for females and males born >= 40 completed weeks. A child is classified as SGA if their birth weight is <= 5th percentile for their gestational age (in completed weeks). A child is classified as LGA if their birth weight is >= 95th percentile for their gestational age (in completed weeks). -For e.g., a female born at 32 weeks + 2 days weighing 1,530g will be classified as SGA. A male born at 37 weeks + 5 days weighing 3,598 will be classified as LGA.",,,Size for gestational age,, -ATHLETE_CDM,outcome_ath,glucose_idefics_perc_0,Repeated glucose percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,, -LifeCycle_CDM,core,whe_ever4,Wheezing between ages 2-4 years,,,1.0.0,,binary,,,,,"Where data are available, wheezing should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Wheezing,, -LifeCycle_CDM,core,whgrains_sch,Whole grain cereals inschool-age children,,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),, -LifeCycle_CDM,outcome,Asthma_adult,Ever diagnosis of asthma in adulthood based on physician diagnosis,,,1.0.0,,binary,,,,,"Where data are available, asthma should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Respiratory (Adult health),, -LifeCycle_CDM,outcome,BHR_0,"Bronchial hyperresponsiveness, as measured by metacholine challenge test, within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Bronchial hyperresponsiveness is defined as a decrease in FEV1 of ≥20% after the administration of methacholine.,,,Bronchial hyperresponsiveness,, -LifeCycle_CDM,outcome,COPD_adult_GOLD,Ever diagnosis of COPD in adulthood based on GOLD criteria,,,1.0.0,,binary,,,,,COPD defined according to the GOLD criteria encompasses an obstructive pre-bronchodilator spirometry (FEV1/FVC < 0.70),,,Respiratory (Adult health),, -LifeCycle_CDM,outcome,COPD_adult_LLN,Ever diagnosis of COPD in adulthood based on lower limit of normal (LLN),,,1.0.0,,binary,,,,,"COPD defined according to the lower limit of normal (LLN), as described in J.L. Hankinson et al, Am J Respir Crit Care Med, 1999.",,,Respiratory (Adult health),, -NFBC1966,core,age_mdg2,age_mdg2,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,outcome,COPD_adult_diagnosis,Ever diagnosis of COPD in adulthood based on physician diagnosis,,,1.0.0,,binary,,,,,"Where data are available, COPD should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Respiratory (Adult health),, -LifeCycle_CDM,outcome,FEF25_abs_0,Forced Expiratory Flow after exhaling 25% of FVC (L/s) within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,continuous,litres/second,,,,,,,Absolute (FEF25),, -LifeCycle_CDM,outcome,FEF50_abs_0,Forced Expiratory Flow after exhaling 50% of FVC (L/s) within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,continuous,litres/second,,,,,,,Absolute (FEF50),, -LifeCycle_CDM,outcome,FEF75_abs_0,Forced Expiratory Flow after exhaling 75% of FVC (L/s) within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,continuous,litres/second,,,,,,,Absolute (FEF75),, -LifeCycle_CDM,outcome,FEF75_z_0,"Forced Expiratory Flow after exhaling 75% of FVC, z-score according to GLI reference criteria within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,z-score,,,,,,,Z-score (FEF75),, -LifeCycle_CDM,outcome,FEV1FVC_z_0,"FEV1 FVC ratio, z-score according to GLI reference criteria within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,z-score,,,,,,,Z-score (FEV1/FVC),, -LifeCycle_CDM,outcome,FEV1_abs_0,Forced Expiratory Volume in the first second (L) within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,continuous,litre,,,,,,,Absolute (FEV1),, -LifeCycle_CDM,outcome,FEV1_z_0,"Forced Expiratotory Volume in the first second, z-score according to GLI reference criteria within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,z-score,,,,,,,Z-score (FEV1),, -LifeCycle_CDM,outcome,FVC_abs_0,Forced Vital Capacity (L) within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,continuous,litre,,,,,,,Absolute,, -LifeCycle_CDM,outcome,FVC_z_0,"Forced Vital Capacity, z-score according to GLI reference criteria within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,z-score,,,,,,,Z-score (FVC),, -LifeCycle_CDM,outcome,FeNO_0,"FeNO, in sympercent change within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,parts_per_billion,,,,,,,FeNO,, -LifeCycle_CDM,outcome,LRTI_0,"Lower respiratory tract infections (bronchiolitis, bronchitis, pneumonia, chest infection, or equivalent) within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,"Please specify which infections were assessed. Where data are available, infections should be doctor diagnosed. If this is not the case, the variabele is partially harmonized",,,Lower respiratory tract infections,, -ATHLETE_CDM,outcome_ath,gm_wave_1,,,,,,integer,,,,,Which wave of gross motor measurement was recorded?,,,Gross motor,, -LifeCycle_CDM,outcome,URTI_0,"Upper respiratory tract infections (ear infection, throat infections, laryngitis, croup, whooping cough or equivalent) within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,"Please specify which infections were assessed. Where data are available, infections should be doctor diagnosed. If this is not the case, the variabele is partially harmonized",,,Upper respiratory tract infections,, -LifeCycle_CDM,outcome,adhdR_0,ADHD diagnosis assessed within one year of childbirth (>0 year and <1 year),,,1.0.0,,binary,,,,,,,,ADHD Registry diagnosis,, -LifeCycle_CDM,outcome,adhdR_age_0,exact age of the child (in years) at onset for ADHD diagnosis for adhdR_0,,,1.0.0,,continuous,year,,,,"If the onset age is not known please use the follow-up age. - -The variable is partially harmonized if using age of the child at follow-up as age of onset.",,,ADHD Registry diagnosis,, -LifeCycle_CDM,outcome,adhdR_eval_0,how was the medical diagnosis reported for adhdR_0,,,1.0.0,,binary,,,,,,,,ADHD Registry diagnosis,, -LifeCycle_CDM,outcome,adhd_age_0,exact age of the child (in years) when ADHD were recorded for adhd_raw_0,,,1.0.0,,continuous,year,,,,Calculate age in years as (date of test assessment - date of birth)/365.2422,,,ADHD symptoms,, -LifeCycle_CDM,outcome,adhd_avg_0,average of available items comprising the total raw score of adhd_raw_0,,,1.0.0,,continuous,,,,,,,,ADHD symptoms,, -LifeCycle_CDM,outcome,adhd_eval_0,who the test for measuring ADHD was administered/answered by for adhd_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,ADHD symptoms,, -LifeCycle_CDM,outcome,adhd_instr_0,Cohort-specific instrument used to measure the ADHD for adhd_raw_0,,,1.0.0,,categorical,,,,,"For CBCL, use the DSM-Oriented Attention-Deficit Hyperactivity Problem (DSM-ADH) scale.",,,ADHD symptoms,, -LifeCycle_CDM,outcome,adhd_pc_0,"ADHD, percentiles of adhd_pro_0",,,1.0.0,,continuous,,,,,,,,ADHD symptoms,, -NFBC1966,core,C6600Q_F12v060,C6600Q_F12v060,,,1.0.0,,integer,,,,,How many deliveries has the mother had?,,,,, -LifeCycle_CDM,outcome,adhd_raw_0,"ADHD, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"For DISC-IV/DSM, combine all items rated on a 4-point scale (0 = never or rarely, 1 = sometimes, 2 = often, or 3 = very often). - -The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized.",,,ADHD symptoms,, -LifeCycle_CDM,outcome,adipo_0,Child's adiponectin (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,adipo_cord,adiponectin measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,, -LifeCycle_CDM,outcome,adipoage_0,Age at adiponectin measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,adipomes_0,Nonfasting or fasting when adiponectin measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,all_0,"Doctor diagnosis of allergy, type of allergen unspecified within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,"Where data are available, allergy should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Any allergy,, -LifeCycle_CDM,outcome,all_ever,"Ever doctor diagnosis of allergy, type of allergen unspecified",,,1.0.0,,binary,,,,,"Where data are available, allergy should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Any allergy,, -LifeCycle_CDM,outcome,allergy_any_m,Maternal history of any allergy before pregnancy (of index child),,,1.0.0,,binary,,,,,"Where data are available, allergy should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Respiratory allergy and skin characteristics,, -LifeCycle_CDM,outcome,allergy_food_m,Maternal history of food allergy before pregnancy (of index child),,,1.0.0,,binary,,,,,"Where data are available, food allergy should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Respiratory allergy and skin characteristics,, -ATHLETE_CDM,outcome_ath,hdl_idefics_perc_0,Repeated HDL-C percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,, -LifeCycle_CDM,outcome,allergy_inh_m,Maternal history of inhalant allergy before pregnancy (of index child),,,1.0.0,,binary,,,,,"Where data are available, inhalant allergy should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Respiratory allergy and skin characteristics,, -LifeCycle_CDM,outcome,anaphylaxis,Ever diagnosis of anaphylactic shock,,,1.0.0,,binary,,,,,"Where data are available, anaphylactic shock should be doctor diagnosed. If this is not the case, the variabele is partially harmonized",,,Anaphylaxis,, -LifeCycle_CDM,outcome,armcirc_0,Child's arm circumference (0 and <1 month),,,1.0.0,,continuous,cm,,,,,,,Arm circumference,, -LifeCycle_CDM,outcome,armcircage_0,Age at arm circumference measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Arm circumference,, -LifeCycle_CDM,outcome,armcircmes_0,Measured vs. reported child arm circumference (0 and <1 month),,,1.0.0,,binary,,,,,,,,Arm circumference,, -LifeCycle_CDM,outcome,armlength_0,Child's arm length (0 and <1 month),,,1.0.0,,continuous,cm,,,,,,,Arm circumference,, -LifeCycle_CDM,outcome,armlengthage_0,Age at arm length measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Arm circumference,, -LifeCycle_CDM,outcome,armlengthmes_0,Measured vs. reported child arm length (0 and <1 month),,,1.0.0,,binary,,,,,,,,Arm circumference,, -LifeCycle_CDM,outcome,asdR_0,ASD diagnosis assessed within one year of childbirth (>0 year and <1 year),,,1.0.0,,binary,,,,,,,,ASD Registry diagnosis,, -LifeCycle_CDM,outcome,asdR_age_0,exact age of the child (in years) at onset for ASD diagnosis for asdR_0,,,1.0.0,,continuous,year,,,,"If the onset age is not known please use the follow-up age. - -The variable is partially harmonized if using age of the child at follow-up as age of onset.",,,ASD Registry diagnosis,, -LifeCycle_CDM,outcome,asdR_eval_0,how was the medical diagnosis reported for asdR_0,,,1.0.0,,binary,,,,,,,,ASD Registry diagnosis,, -LifeCycle_CDM,outcome,asd_age_0,exact age of the child (in years) when ASD were recorded for asd_raw_0,,,1.0.0,,continuous,year,,,,Calculate age in years as (date of test assessment - date of birth)/365.2422,,,Autism spectrum disorder symptoms,, -LifeCycle_CDM,outcome,asd_avg_0,average of available items comprising the total raw score of asd_raw_0,,,1.0.0,,continuous,,,,,,,,Autism spectrum disorder symptoms,, -LifeCycle_CDM,outcome,asd_eval_0,who the test for measuring ASD was administered/answered by for asd_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Autism spectrum disorder symptoms,, -LifeCycle_CDM,outcome,asd_instr_0,Cohort-specific instrument used to measure the ASD for asd_raw_0,,,1.0.0,,categorical,,,,,,,,Autism spectrum disorder symptoms,, -OOM_CDM,EUROCAT,firstpre,,,,2.2,,,,,,false,"FIRST POSITIVE PRENATAL TEST -This refers to the first prenatal test whether screening procedure or diagnostic test which indicated a possible congenital anomaly or need for further tests. - -For code 7 = other specified test, give information in text field (variable 22). - -If test performed and result negative, then the “When discovered” variable cannot be coded 6 (prenatal diagnosis). - -This field is to record what DID happen, not any possible plans or intentions. Ultrasound < 14 weeks means only ultrasound performed which may include a nuchal measurement. The serum/combined screening must involve a biochemical test",,"1 = Ultrasound at GA < 14 weeks -2 = Ultrasound at GA 14-21 weeks -3 = Ultrasound at GA ≥ 22 weeks -4 = Ultrasound GA not known -5 = Serum/ combined screening -6 = CVS or -amniocentesis -7 = Other test positive -8 = Test(s) performed,result negative -9 = Not known -10 = No test -performed,Table reference: EUROCAT",,, -LifeCycle_CDM,outcome,asd_pc_0,"ASD, percentiles of asd_pro_0",,,1.0.0,,continuous,,,,,,,,Autism spectrum disorder symptoms,, -LifeCycle_CDM,outcome,asd_pro_0,total ASD score after prorating asd_raw_0,,,1.0.0,,continuous,,,,,,,,Autism spectrum disorder symptoms,, -LifeCycle_CDM,outcome,asd_raw_0,"ASD, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized",,,Autism spectrum disorder symptoms,, -LifeCycle_CDM,outcome,asthma_0,diagnosis of asthma within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, asthma should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized.",,,Asthma,, -LifeCycle_CDM,outcome,asthma_current_ISAAC,Current asthma (ISAAC),,,1.0.0,,binary,,,,,"1, and (2 or 3) +For e.g., a female born at 32 weeks + 2 days weighing 1,530g will be classified as SGA. A male born at 37 weeks + 5 days weighing 3,598 will be classified as LGA.",,,Size for gestational age,,,False,,,,, +ATHLETE,outcome_ath,glucose_idefics_perc_,Repeated glucose percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,,,False,,,,, +LifeCycle,core,whe_ever,Wheezing between ages 2-4 years,,,1.0.0,,binary,,,,,"Where data are available, wheezing should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Wheezing,,,False,,,,, +LifeCycle,core,whgrains_sch,Whole grain cereals inschool-age children,,,1.0.0,,continuous,servings_per_day,,,,,,,Food groups (School),,,False,,,,, +LifeCycle,outcome,Asthma_adult,Ever diagnosis of asthma in adulthood based on physician diagnosis,,,1.0.0,,binary,,,,,"Where data are available, asthma should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Respiratory (Adult health),,,False,,,,, +LifeCycle,outcome,BHR_,"Bronchial hyperresponsiveness, as measured by metacholine challenge test, within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Bronchial hyperresponsiveness is defined as a decrease in FEV1 of ≥20% after the administration of methacholine.,,,Bronchial hyperresponsiveness,,,False,,,,, +LifeCycle,outcome,COPD_adult_GOLD,Ever diagnosis of COPD in adulthood based on GOLD criteria,,,1.0.0,,binary,,,,,COPD defined according to the GOLD criteria encompasses an obstructive pre-bronchodilator spirometry (FEV1/FVC < 0.70),,,Respiratory (Adult health),,,False,,,,, +LifeCycle,outcome,COPD_adult_LLN,Ever diagnosis of COPD in adulthood based on lower limit of normal (LLN),,,1.0.0,,binary,,,,,"COPD defined according to the lower limit of normal (LLN), as described in J.L. Hankinson et al, Am J Respir Crit Care Med, 1999.",,,Respiratory (Adult health),,,False,,,,, +LifeCycle,outcome,COPD_adult_diagnosis,Ever diagnosis of COPD in adulthood based on physician diagnosis,,,1.0.0,,binary,,,,,"Where data are available, COPD should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Respiratory (Adult health),,,False,,,,, +LifeCycle,outcome,FEF25_abs_,Forced Expiratory Flow after exhaling 25% of FVC (L/s) within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,continuous,litres/second,,,,,,,Absolute (FEF25),,,False,,,,, +LifeCycle,outcome,FEF50_abs_,Forced Expiratory Flow after exhaling 50% of FVC (L/s) within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,continuous,litres/second,,,,,,,Absolute (FEF50),,,False,,,,, +LifeCycle,outcome,FEF75_abs_,Forced Expiratory Flow after exhaling 75% of FVC (L/s) within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,continuous,litres/second,,,,,,,Absolute (FEF75),,,False,,,,, +LifeCycle,outcome,FEF75_z_,"Forced Expiratory Flow after exhaling 75% of FVC, z-score according to GLI reference criteria within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,z-score,,,,,,,Z-score (FEF75),,,False,,,,, +LifeCycle,outcome,FEV1FVC_z_,"FEV1 FVC ratio, z-score according to GLI reference criteria within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,z-score,,,,,,,Z-score (FEV1/FVC),,,False,,,,, +LifeCycle,outcome,FEV1_abs_,Forced Expiratory Volume in the first second (L) within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,continuous,litre,,,,,,,Absolute (FEV1),,,False,,,,, +LifeCycle,outcome,FEV1_z_,"Forced Expiratotory Volume in the first second, z-score according to GLI reference criteria within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,z-score,,,,,,,Z-score (FEV1),,,False,,,,, +LifeCycle,outcome,FVC_abs_,Forced Vital Capacity (L) within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,continuous,litre,,,,,,,Absolute,,,False,,,,, +LifeCycle,outcome,FVC_z_,"Forced Vital Capacity, z-score according to GLI reference criteria within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,z-score,,,,,,,Z-score (FVC),,,False,,,,, +LifeCycle,outcome,FeNO_,"FeNO, in sympercent change within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,parts_per_billion,,,,,,,FeNO,,,False,,,,, +LifeCycle,outcome,LRTI_,"Lower respiratory tract infections (bronchiolitis, bronchitis, pneumonia, chest infection, or equivalent) within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,"Please specify which infections were assessed. Where data are available, infections should be doctor diagnosed. If this is not the case, the variabele is partially harmonized",,,Lower respiratory tract infections,,,True,,0,,, +ATHLETE,outcome_ath,gm_wave_,,,,,,integer,,,,,Which wave of gross motor measurement was recorded?,,,Gross motor,,,False,,,,, +LifeCycle,outcome,URTI_,"Upper respiratory tract infections (ear infection, throat infections, laryngitis, croup, whooping cough or equivalent) within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,"Please specify which infections were assessed. Where data are available, infections should be doctor diagnosed. If this is not the case, the variabele is partially harmonized",,,Upper respiratory tract infections,,,True,,0,,, +LifeCycle,outcome,adhdR_,ADHD diagnosis assessed within one year of childbirth (>0 year and <1 year),,,1.0.0,,binary,,,,,,,,ADHD Registry diagnosis,,,False,,,,, +LifeCycle,outcome,adhdR_age_,exact age of the child (in years) at onset for ADHD diagnosis for adhdR_0,,,1.0.0,,continuous,year,,,,"If the onset age is not known please use the follow-up age. + +The variable is partially harmonized if using age of the child at follow-up as age of onset.",,,ADHD Registry diagnosis,,,False,,,,, +LifeCycle,outcome,adhdR_eval_,how was the medical diagnosis reported for adhdR_0,,,1.0.0,,binary,,,,,,,,ADHD Registry diagnosis,,,False,,,,, +LifeCycle,outcome,adhd_age_,exact age of the child (in years) when ADHD were recorded for adhd_raw_0,,,1.0.0,,continuous,year,,,,Calculate age in years as (date of test assessment - date of birth)/365.2422,,,ADHD symptoms,,,True,Trimester,0,3,, +LifeCycle,outcome,adhd_avg_,average of available items comprising the total raw score of adhd_raw_0,,,1.0.0,,continuous,,,,,,,,ADHD symptoms,,,True,Trimester,0,3,, +LifeCycle,outcome,adhd_eval_,who the test for measuring ADHD was administered/answered by for adhd_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,ADHD symptoms,,,True,Trimester,0,3,, +LifeCycle,outcome,adhd_instr_,Cohort-specific instrument used to measure the ADHD for adhd_raw_0,,,1.0.0,,categorical,,,,,"For CBCL, use the DSM-Oriented Attention-Deficit Hyperactivity Problem (DSM-ADH) scale.",,,ADHD symptoms,,,True,Trimester,0,3,, +LifeCycle,outcome,adhd_pc_,"ADHD, percentiles of adhd_pro_0",,,1.0.0,,continuous,,,,,,,,ADHD symptoms,,,True,,0,,, +LifeCycle,outcome,adhd_raw_,"ADHD, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"For DISC-IV/DSM, combine all items rated on a 4-point scale (0 = never or rarely, 1 = sometimes, 2 = often, or 3 = very often). + +The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized.",,,ADHD symptoms,,,True,Trimester,0,3,, +LifeCycle,outcome,adipo_,Child's adiponectin (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,adipo_cord,adiponectin measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,,,False,,,,, +LifeCycle,outcome,adipoage_,Age at adiponectin measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,adipomes_,Nonfasting or fasting when adiponectin measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,all_,"Doctor diagnosis of allergy, type of allergen unspecified within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,"Where data are available, allergy should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Any allergy,,,True,Trimester,0,3,, +LifeCycle,outcome,all_ever,"Ever doctor diagnosis of allergy, type of allergen unspecified",,,1.0.0,,binary,,,,,"Where data are available, allergy should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Any allergy,,,False,,,,, +LifeCycle,outcome,allergy_any_m,Maternal history of any allergy before pregnancy (of index child),,,1.0.0,,binary,,,,,"Where data are available, allergy should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Respiratory allergy and skin characteristics,,,False,,,,, +LifeCycle,outcome,allergy_food_m,Maternal history of food allergy before pregnancy (of index child),,,1.0.0,,binary,,,,,"Where data are available, food allergy should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Respiratory allergy and skin characteristics,,,False,,,,, +ATHLETE,outcome_ath,hdl_idefics_perc_,Repeated HDL-C percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,,,False,,,,, +LifeCycle,outcome,allergy_inh_m,Maternal history of inhalant allergy before pregnancy (of index child),,,1.0.0,,binary,,,,,"Where data are available, inhalant allergy should be doctor diagnosed. If no information is available on doctor diagnosis, the variable is partially harmonised.",,,Respiratory allergy and skin characteristics,,,False,,,,, +LifeCycle,outcome,anaphylaxis,Ever diagnosis of anaphylactic shock,,,1.0.0,,binary,,,,,"Where data are available, anaphylactic shock should be doctor diagnosed. If this is not the case, the variabele is partially harmonized",,,Anaphylaxis,,,False,,,,, +LifeCycle,outcome,armcirc_,Child's arm circumference (0 and <1 month),,,1.0.0,,continuous,cm,,,,,,,Arm circumference,,,True,,0,,, +LifeCycle,outcome,armcircage_,Age at arm circumference measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Arm circumference,,,True,,0,,, +LifeCycle,outcome,armcircmes_,Measured vs. reported child arm circumference (0 and <1 month),,,1.0.0,,binary,,,,,,,,Arm circumference,,,True,,0,,, +LifeCycle,outcome,armlength_,Child's arm length (0 and <1 month),,,1.0.0,,continuous,cm,,,,,,,Arm circumference,,,False,,,,, +LifeCycle,outcome,armlengthage_,Age at arm length measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Arm circumference,,,False,,,,, +LifeCycle,outcome,armlengthmes_,Measured vs. reported child arm length (0 and <1 month),,,1.0.0,,binary,,,,,,,,Arm circumference,,,False,,,,, +LifeCycle,outcome,asdR_,ASD diagnosis assessed within one year of childbirth (>0 year and <1 year),,,1.0.0,,binary,,,,,,,,ASD Registry diagnosis,,,False,,,,, +LifeCycle,outcome,asdR_age_,exact age of the child (in years) at onset for ASD diagnosis for asdR_0,,,1.0.0,,continuous,year,,,,"If the onset age is not known please use the follow-up age. + +The variable is partially harmonized if using age of the child at follow-up as age of onset.",,,ASD Registry diagnosis,,,False,,,,, +LifeCycle,outcome,asdR_eval_,how was the medical diagnosis reported for asdR_0,,,1.0.0,,binary,,,,,,,,ASD Registry diagnosis,,,False,,,,, +LifeCycle,outcome,asd_age_,exact age of the child (in years) when ASD were recorded for asd_raw_0,,,1.0.0,,continuous,year,,,,Calculate age in years as (date of test assessment - date of birth)/365.2422,,,Autism spectrum disorder symptoms,,,True,,0,,, +LifeCycle,outcome,asd_avg_,average of available items comprising the total raw score of asd_raw_0,,,1.0.0,,continuous,,,,,,,,Autism spectrum disorder symptoms,,,True,,0,,, +LifeCycle,outcome,asd_eval_,who the test for measuring ASD was administered/answered by for asd_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Autism spectrum disorder symptoms,,,True,,0,,, +LifeCycle,outcome,asd_instr_,Cohort-specific instrument used to measure the ASD for asd_raw_0,,,1.0.0,,categorical,,,,,,,,Autism spectrum disorder symptoms,,,True,,0,,, +LifeCycle,outcome,asd_pc_,"ASD, percentiles of asd_pro_0",,,1.0.0,,continuous,,,,,,,,Autism spectrum disorder symptoms,,,True,,0,,, +LifeCycle,outcome,asd_pro_,total ASD score after prorating asd_raw_0,,,1.0.0,,continuous,,,,,,,,Autism spectrum disorder symptoms,,,True,,0,,, +LifeCycle,outcome,asd_raw_,"ASD, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized",,,Autism spectrum disorder symptoms,,,True,,0,,, +LifeCycle,outcome,asthma_,diagnosis of asthma within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, asthma should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized.",,,Asthma,,,True,,0,,, +LifeCycle,outcome,asthma_current_ISAAC,Current asthma (ISAAC),,,1.0.0,,binary,,,,,"1, and (2 or 3) 1. Doctor diagnosed asthma 2. Wheezing in the past 12 months -3. Use of asthma medication in the past 12 months",,,,, -LifeCycle_CDM,outcome,asthma_current_ISAAC_0,Diagnosis of asthma according to ISAAC definition,,,1.0.0,,binary,,,,,"1, and (2 or 3) +3. Use of asthma medication in the past 12 months",,,,,,False,,,,, +LifeCycle,outcome,asthma_current_ISAAC_,Diagnosis of asthma according to ISAAC definition,,,1.0.0,,binary,,,,,"1, and (2 or 3) 1. Doctor diagnosed asthma 2. Wheezing in the past 12 months -3. Use of asthma medication in the past 12 months",,,ISAAC,, -LifeCycle_CDM,outcome,asthma_current_MeDALL,Current asthma (MeDALL),,,1.0.0,,binary,,,,,"2 out of 3 of: +3. Use of asthma medication in the past 12 months",,,ISAAC,,,True,,0,,, +LifeCycle,outcome,asthma_current_MeDALL,Current asthma (MeDALL),,,1.0.0,,binary,,,,,"2 out of 3 of: 1. Doctor diagnosed asthma 2. Wheezing in the past 12 months -3. Use of asthma medication in the past 12 months",,,,, -LifeCycle_CDM,outcome,asthma_current_MeDALL_0,Diagnosis of asthma according to MeDALL definition,,,1.0.0,,binary,,,,,"2 out of 3 of: +3. Use of asthma medication in the past 12 months",,,,,,False,,,,, +LifeCycle,outcome,asthma_current_MeDALL_,Diagnosis of asthma according to MeDALL definition,,,1.0.0,,binary,,,,,"2 out of 3 of: 1. Doctor diagnosed asthma 2. Wheezing in the past 12 months -3. Use of asthma medication in the past 12 months",,,MeDALL,, -LifeCycle_CDM,outcome,asthma_ever_CHICOS,School age asthma according to CHICOS definition,,,1.0.0,,binary,,,,,"Asthma diagnosis at the age of ≥5 years. Where data are available, asthma should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,CHICOS,, -LifeCycle_CDM,outcome,asthma_ever_MeDALL,Ever diagnosis of asthma according to MeDALL definition,,,1.0.0,,binary,,,,,"Ever diagnosis of asthma. Where data are available, asthma should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,MeDALL,, -LifeCycle_CDM,outcome,asthma_med_0,use of asthma medication within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,,,,Asthma medication,, -LifeCycle_CDM,outcome,asthma_med_spec_0,"use of asthma medication, type specified, within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,categorical,,,,,,,,Asthma medication,, -LifeCycle_CDM,outcome,bicepsf_0,Child's bicep skinfold (0 and <1 month),,,1.0.0,,continuous,mm,,,,,,,Bicep skinfold,, -LifeCycle_CDM,outcome,bicepsfage_0,Age at bicep skinfold measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Bicep skinfold,, -LifeCycle_CDM,outcome,glucose_cord,Glucose measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,, -LongITools_CDM,wave_01,study_country,Country of study,,,1.0.0,,categorical,,,,,Country of the study,,,,, -LifeCycle_CDM,outcome,bicepsfmes_0,Measured vs. reported child bicep skinfold (0 and <1 month),,,1.0.0,,binary,,,,,,,,Bicep skinfold,, -LifeCycle_CDM,outcome,bio_0,Child's body fat % from bioimpedance (0 and <1 month),,,1.0.0,,continuous,%,,,,,,,Body Composition,, -LifeCycle_CDM,outcome,bioage_0,Age at bioimpedance measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Body Composition,, -LifeCycle_CDM,outcome,biomes_0,Device used to measure bioimpedance (0 and <1 month),,,1.0.0,,binary,,,,,,,,Body Composition,, -LifeCycle_CDM,outcome,bpage_0,Age at peripheral blood pressure measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Blood pressure,, -LifeCycle_CDM,outcome,cbpage_0,Age at central (i.e. aortic) blood pressure measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Blood pressure,, -LifeCycle_CDM,outcome,cbpsit_0,Standing or sitting when central (i.e. aortic) blood pressure measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Blood pressure,, -LifeCycle_CDM,outcome,cdbp_0,Child's central (i.e. aortic) diastolic blood pressure (0 and <1 month),,,1.0.0,,continuous,mmHg,,,,,,,Blood pressure,, -LifeCycle_CDM,outcome,cfpwv_0,Child's carotid-femoral pulse wave velocity (0 and <1 month),,,1.0.0,,continuous,metre_per_second,,,,,,,Pulse,, -LifeCycle_CDM,outcome,cfpwvage_0,Age at carotid-femoral pulse wave velocity measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Pulse,, -LifeCycle_CDM,outcome,chol_0,Child's total cholesterol (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,Cholesterol,, -LifeCycle_CDM,outcome,chol_cord,total cholesterol measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,, -LifeCycle_CDM,outcome,cholage_0,Age at total cholesterol measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Cholesterol,, -LifeCycle_CDM,outcome,cholmes_0,Nonfasting or fasting when total cholesterol measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Cholesterol,, -LifeCycle_CDM,outcome,cimt_0,Child's carotid intima-media thickness (0 and <1 month),,,1.0.0,,continuous,mm,,,,,,,Measurements,, -LifeCycle_CDM,outcome,cimtage_0,Age at carotid intima-media thickness measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Measurements,, -LifeCycle_CDM,outcome,cimtmes_0,Measured vs. reported child waist circumference (0 and <1 month),,,1.0.0,,binary,,,,,,,,Waist circumference,, -LifeCycle_CDM,outcome,crp_0,Child's CRP (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,Measurements,, -LifeCycle_CDM,outcome,crp_cord,CRP measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,, -LifeCycle_CDM,outcome,crpage_0,Age at CRP measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Measurements,, -LifeCycle_CDM,outcome,crpmes_0,Nonfasting or fasting when CRP measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Measurements,, -LifeCycle_CDM,outcome,crpwv_0,Child's carotid-radial pulse wave velocity (0 and <1 month),,,1.0.0,,continuous,metre_per_second,,,,,,,Pulse,, -LifeCycle_CDM,outcome,crpwvage_0,Age at carotid-radial pulse wave velocity measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Pulse,, -LifeCycle_CDM,outcome,csbp_0,Child's central (i.e. aortic) systolic blood pressure (0 and <1 month),,,1.0.0,,continuous,mmHg,,,,,,,Blood pressure,, -LifeCycle_CDM,outcome,dbp_0,Child's diastolic blood pressure - 1st measurement (0 and <1 month),,,1.0.0,,continuous,mmHg,,,,,,,Blood pressure,, -LifeCycle_CDM,outcome,dbpav_0,Child's diastolic blood pressure - average (0 and <1 month),,,1.0.0,,continuous,mmHg,,,,,,,Blood pressure,, -LifeCycle_CDM,outcome,dominant_armc_0,Arm circumference measured in dominant or non-dominant arm (0 and <1 month),,,1.0.0,,binary,,,,,,,,Arm circumference,, -LifeCycle_CDM,outcome,dxafm_0,Child's whole-body DXA fat mass (0 and <1 month),,,1.0.0,,continuous,gram,,,,,,,Body Composition,, -LifeCycle_CDM,outcome,dxafmage_0,Age at DXA fat mass measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Body Composition,, -LifeCycle_CDM,outcome,dxafmmes_0,Device used to measure DXA fat mass (0 and <1 month),,,1.0.0,,binary,,,,,,,,Body Composition,, -LifeCycle_CDM,outcome,dxalm_0,Child's whole-body DXA lean mass (0 and <1 month),,,1.0.0,,continuous,gram,,,,,,,Body Composition,, -LifeCycle_CDM,outcome,dxalmage_0,Age at DXA lean mass measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Body Composition,, -LifeCycle_CDM,outcome,dxalmmes_0,Device used to measure DXA lean mass (0 and <1 month),,,1.0.0,,binary,,,,,,,,Body Composition,, -LifeCycle_CDM,outcome,eczema_0,Doctor diagnosis of eczema within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, eczema should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Eczema,, -NFBC1966,core,age_mdg20,age_mdg20,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,outcome,eczema_m,Maternal history of eczema before pregnancy (of index child),,,1.0.0,,binary,,,,,"Mothers who were asked whether their asthma was diagnosed by a doctor but who did not know or were unsure, should be coded as missing.",,,Respiratory allergy and skin characteristics,, -LifeCycle_CDM,outcome,ext_age_0,exact age of the child (in years) when externalizing problems were recorded for ext_raw_0,,,1.0.0,,continuous,year,,,,Calculate age in years as (date of test assessment - date of birth)/365.2422,,,Externalizing problems,, -NFBC1966,core,age_fdg1,age_fdg1,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,outcome,ext_avg_0,average of available items comprising the total raw score of ext_raw_0,,,1.0.0,,continuous,,,,,,,,Externalizing problems,, -LifeCycle_CDM,outcome,ext_eval_0,who the test for measuring externalizing problems was administered/answered by for ext_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Externalizing problems,, -LifeCycle_CDM,outcome,glucoseage_0,Age at glucose measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,ext_instr_0,Cohort-specific instrument used to measure the externalizing problems for ext_raw_0,,,1.0.0,,categorical,,,,,,,,Externalizing problems,, -LifeCycle_CDM,outcome,ext_pc_0,"externalizing problems, percentiles of ext_pro_0",,,1.0.0,,continuous,,,,,,,,Externalizing problems,, -LifeCycle_CDM,outcome,ext_pro_0,total externalizing problems score after prorating ext_raw_0,,,1.0.0,,continuous,,,,,,,,Externalizing problems,, -LifeCycle_CDM,outcome,ext_raw_0,"externalizing problems, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"For SDQ, combine the conduct problems and hyperactivity/inattention items. - -The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized.",,,Externalizing problems,, -LifeCycle_CDM,outcome,f_dbp_0,Father's diastolic blood pressure during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmHg,,,,,,,Paternal measurements,, -LifeCycle_CDM,outcome,f_sbp_0,Father's systolic blood pressure during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmHg,,,,,,,Paternal measurements,, -LifeCycle_CDM,outcome,fm_age_0,exact age of the child (in years) when fine motor were recorded for fm_raw_0,,,1.0.0,,continuous,year,,,,"Calculate age in years as -(date of test assessment - date of birth)/365.2422",,,Fine motor,, -LifeCycle_CDM,outcome,fm_avg_0,average of available items comprising the total raw score of fm_raw_0,,,1.0.0,,continuous,,,,,,,,Fine motor,, -LifeCycle_CDM,outcome,fm_eval_0,who the test for measuring fine motor was administered/answered by for fm_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Fine motor,, -LongITools_CDM,wave_01,study_id,Study id,,,1.0.0,,categorical,,,,,Unique identifier number for the study,,,,, -LifeCycle_CDM,outcome,fm_instr_0,Cohort-specific instrument used to measure the fine motor for fm_raw_0,,,1.0.0,,categorical,,,,,,,,Fine motor,, -LifeCycle_CDM,outcome,fm_pc_0,"fine motor, percentiles of fm_pro_0",,,1.0.0,,continuous,,,,,,,,Fine motor,, -LifeCycle_CDM,outcome,fm_pro_0,total fine motor score after prorating fm_raw_0,,,1.0.0,,continuous,,,,,"If fine motor is measured using “computerized” test, create prorated scores equals to raw scores: fm_pro_0=fm_raw_0",,,Fine motor,, -LifeCycle_CDM,outcome,fm_raw_0,"fine motor, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized",,,Fine motor,, -LifeCycle_CDM,outcome,fm_std_0,"fine motor, standardized score of fm_pro_0",,,1.0.0,,continuous,,,,,,,,Fine motor,, -LifeCycle_CDM,outcome,food_all_0,Doctor diagnosis of food allergy within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, allergy should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Food allergy,, -LifeCycle_CDM,outcome,food_all_ever,Ever doctor diagnosis of food allergy,,,1.0.0,,binary,,,,,"Where data are available, allergy should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Food allergy,, -LifeCycle_CDM,outcome,food_all_sens_SPT_0,"Food allergic sensitization, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Any food allergic sensitization (Skin prick test),, -LifeCycle_CDM,outcome,gm_age_0,exact age of the child (in years) when gross motor were recorded for gm_raw_0,,,1.0.0,,continuous,year,,,,"Calculate age in years as -(date of test assessment - date of birth)/365.2422",,,Gross motor,, -LifeCycle_CDM,outcome,food_all_sens_SPT_COWMILK_0,"Food allergic sensitization to cowmilk, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Cow milk,, -LifeCycle_CDM,outcome,food_all_sens_SPT_EGG_0,"Food allergic sensitization to chicken egg, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Chicken egg,, -LifeCycle_CDM,outcome,il6mes_0,Nonfasting or fasting when IL-6 measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,food_all_sens_SPT_FISH_cod_0,"Food allergic sensitization to cod fish, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Fish,, -LifeCycle_CDM,outcome,food_all_sens_SPT_FISH_mix_0,"Food allergic sensitization to fish mix, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Please specify in online gatalogue which types of fish were included in the mix,,,Fish,, -LifeCycle_CDM,outcome,food_all_sens_SPT_FRUIT_kiw_0,"Food allergic sensitization to kiwi fruit, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Fruit,, -LifeCycle_CDM,outcome,food_all_sens_SPT_FRUIT_pea_0,"Food allergic sensitization to peach fruit, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Fruit,, -LifeCycle_CDM,outcome,food_all_sens_SPT_NUT_cas_0,"Food allergic sensitization to cashew nut, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Nut,, -LifeCycle_CDM,outcome,food_all_sens_SPT_NUT_haz_0,"Food allergic sensitization to hazelnut, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Nut,, -LifeCycle_CDM,outcome,food_all_sens_SPT_NUT_mix_0,"Food allergic sensitization to nut mix, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Please specify in online catalogue which nuts were included in the mix,,,Nut,, -NFBC1966,core,age_fdg24,age_fdg24,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,outcome,food_all_sens_SPT_NUT_wal_0,"Food allergic sensitization to walnut, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Nut,, -LifeCycle_CDM,outcome,food_all_sens_SPT_PNT_0,"Food allergic sensitization to peanut, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Peanut,, -LifeCycle_CDM,outcome,food_all_sens_SPT_SES_0,"Food allergic sensitization to sesame, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Sesame,, -LifeCycle_CDM,outcome,food_all_sens_SPT_SHELL_mix_0,"Food allergic sensitization to shellfish mix, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Please specify in online catalogue which types of shellfish were included in the mix,,,Shellfish,, -LifeCycle_CDM,outcome,food_all_sens_SPT_WHEAT_0,"Food allergic sensitization to wheat, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Wheat,, -LifeCycle_CDM,outcome,glucose_0,Child's glucose (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,glucosemes_0,Nonfasting or fasting when glucose measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,gm_avg_0,average of available items comprising the total raw score of gm_raw_0,,,1.0.0,,continuous,,,,,,,,Gross motor,, -LifeCycle_CDM,outcome,m_crp_0,Mother's CRP during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,, -PELAGIE,BDD_ethers,EEAA_ENFANT,EEAA Concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -OOM_CDM,EUROCAT,premal2,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION -AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally -2 = No,this anomaly was diagnosed postnatally -3 = This anomaly partially prenatally diagnosed -9 =Not known,Table reference: EUROCAT AS PRESYN",,, -LifeCycle_CDM,outcome,gm_eval_0,who the test for measuring gross motor was administered/answered by for gm_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Gross motor,, -LifeCycle_CDM,outcome,gm_instr_0,Cohort-specific instrument used to measure the gross motor for gm_raw_0,,,1.0.0,,categorical,,,,,,,,Gross motor,, -LifeCycle_CDM,outcome,gm_pc_0,"gross motor, percentiles of gm_pro_0",,,1.0.0,,continuous,,,,,,,,Gross motor,, -LifeCycle_CDM,outcome,gm_pro_0,total gross motor score after prorating gm_raw_0,,,1.0.0,,continuous,,,,,"If gross motor is measured using “computerized” test, create prorated scores equals to raw scores: gm_pro_0=gm_raw_0",,,Gross motor,, -LifeCycle_CDM,outcome,gm_raw_0,"gross motor, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized",,,Gross motor,, -LifeCycle_CDM,outcome,gm_std_0,"gross motor, standardized score of gm_pro_0",,,1.0.0,,continuous,,,,,,,,Gross motor,, -LifeCycle_CDM,outcome,haem_0,Child's haemoglobin (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,haem_cord,Haemoglobin from cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,, -LifeCycle_CDM,outcome,haemage_0,Age at haemoglobin measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,haemmes_0,Nonfasting or fasting when haemoglobin measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,hba1c_0,Child's HbA1c (0 and <1 month),,,1.0.0,,continuous,%,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,hba1c_cord,HbA1c measured from cord blood,,,1.0.0,,continuous,%,,,,,,,,, -LifeCycle_CDM,outcome,hba1cage_0,Age at HbA1c measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,hba1cmes_0,Nonfasting or fasting when HbA1c measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,hdlc_0,Child's HDLc (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,Cholesterol,, -LifeCycle_CDM,outcome,hdlc_cord,HDLc measurd in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,, -LifeCycle_CDM,outcome,hdlcage_0,Age at HDLc measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Cholesterol,, -LifeCycle_CDM,outcome,hdlcmes_0,Nonfasting or fasting when HDLc measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Cholesterol,, -LifeCycle_CDM,outcome,headcirc_0,Child's head circumference (0 and <1 month),,,1.0.0,,continuous,cm,,,,,,,Head circumference,, -LifeCycle_CDM,outcome,headcircage_0,Age at head circumference measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Head circumference,, -LifeCycle_CDM,outcome,headcircmes_0,Measured vs. reported child head circumference (0 and <1 month),,,1.0.0,,binary,,,,,,,,Head circumference,, -LifeCycle_CDM,outcome,heightmes_0,Method used to measure child's height (0 and <1 month),,,1.0.0,,categorical,,,,,,,,Child's height,, -LifeCycle_CDM,outcome,hipcirc_0,Child's hip circumference (0 and <1 month),,,1.0.0,,continuous,cm,,,,,,,Hip circumference,, -LifeCycle_CDM,outcome,hipcircage_0,Age at hip circumference measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Hip circumference,, -LifeCycle_CDM,outcome,hipcircmes_0,Measured vs. reported child hip circumference (0 and <1 month),,,1.0.0,,binary,,,,,,,,Hip circumference,, -LifeCycle_CDM,outcome,il6_0,Child's IL-6 (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,il6_cord,IL-6 measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,, -LifeCycle_CDM,outcome,il6age_0,Age at IL-6 measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,m_dbp_0,Mother's diastolic blood pressure during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmHg,,,,,,,Maternal measurements,, -LifeCycle_CDM,outcome,inh_all_0,Doctor diagnosis of inhalant allergy within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, allergy should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Inhalant allergy,, -LifeCycle_CDM,outcome,inh_all_ever,Ever doctor diagnosis of inhalant allergy,,,1.0.0,,binary,,,,,"Where data are available, allergy should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Inhalant allergy,, -LifeCycle_CDM,outcome,inh_all_sens_IgE_CAT_0,"Inhalant allergic sensitization to cat, measured by IgE within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,kua_l,,,,Please specify in online catalogue which species were tested,,,Cat (IgE),, -LifeCycle_CDM,outcome,inh_all_sens_IgE_HDM_0,"Inhalant allergic sensitization to house dust mite, measured by IgE within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,kua_l,,,,Please specify in online catalogue which species were tested,,,House dust mite (IgE),, -LifeCycle_CDM,outcome,inh_all_sens_IgE_MOULD_0,"Inhalant allergic sensitization to mould, measured by IgE within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,kua_l,,,,Please specify in online catalogue which species were tested,,,Mould,, -LifeCycle_CDM,outcome,inh_all_sens_IgE_RYE_0,"Inhalant allergic sensitization to rye, measured by IgE within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,kua_l,,,,Please specify in online catalogue which species were tested,,,Rye,, -LifeCycle_CDM,outcome,inh_all_sens_SPT_0,"Inhalant allergic sensitization, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Any inhalant allergic sensitization (Skin prick test),, -RMR,RMR,datmorte,Death date,,,1.0,,,,,,,Nome specifico Data_morte,,,,,Date format ddmmyyyy. -LifeCycle_CDM,outcome,inh_all_sens_SPT_CAT_0,"Inhalant allergic sensitization to cat, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Cat (Skin prick test),, -LifeCycle_CDM,outcome,inh_all_sens_SPT_DOG_0,"Inhalant allergic sensitization to dog, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Dog,, -LifeCycle_CDM,outcome,inh_all_sens_SPT_GRASS_mix_0,"Inhalant allergic sensitization to grass mix, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Please specify in online catalogue which species were included in the mix,,,Grass,, -LifeCycle_CDM,outcome,inh_all_sens_SPT_GRASS_tim_0,"Inhalant allergic sensitization to timothy grass, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Grass,, -LifeCycle_CDM,outcome,inh_all_sens_SPT_HDM_derf_0,"Inhalant allergic sensitization to house dust mite (dermatophagoides farinae), measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,House dust mite (Skin prick test),, -LifeCycle_CDM,outcome,inh_all_sens_SPT_HDM_derp_0,"Inhalant allergic sensitization to house dust mite (dermatophagoides pteronyssinus), measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,House dust mite (Skin prick test),, -NFBC1966,core,age_mdg21,age_mdg21,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,outcome,inh_all_sens_SPT_HDM_mix_0,"Inhalant allergic sensitization to house dust mite mix, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Please specify in online catalogue which species were included in the mix,,,House dust mite (Skin prick test),, -LifeCycle_CDM,outcome,inh_all_sens_SPT_TREE_birch_0,"Inhalant allergic sensitization to birch, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Tree,, -LifeCycle_CDM,outcome,ldlcage_0,Age at LDLc measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Cholesterol,, -LifeCycle_CDM,outcome,inh_all_sens_SPT_TREE_mix_0,"Inhalant allergic sensitization to tree polen mix, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Please specify in online catalogue which species were included in the mix,,,Tree,, -LifeCycle_CDM,outcome,inhalant_all_sens_SPT_0,"Inhalant allergic sensitization, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Any inhalant allergic sensitization (Skin prick test),, -LifeCycle_CDM,outcome,insulin_0,Child's insulin (0 and <1 month),,,1.0.0,,continuous,mu/litre,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,insulin_cord,Insulin measured in cord blood,,,1.0.0,,continuous,mu/litre,,,,,,,,, -LifeCycle_CDM,outcome,insulinage_0,Age at insulin measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,insulinmes_0,Nonfasting or fasting when insulin measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,int_age_0,exact age of the child (in years) when internalizing problems were recorded for int_raw_0,,,1.0.0,,continuous,year,,,,Calculate age in years as (date of test assessment - date of birth)/365.2422,,,Internalizing problems,, -LifeCycle_CDM,outcome,int_avg_0,average of available items comprising the total raw score of int_raw_0,,,1.0.0,,continuous,,,,,,,,Internalizing problems,, -LifeCycle_CDM,outcome,m_glucose_0,Mother's glucose during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,, -LifeCycle_CDM,outcome,int_eval_0,who the test for measuring internalizing problems was administered/answered by for int_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Internalizing problems,, -LifeCycle_CDM,outcome,int_instr_0,Cohort-specific instrument used to measure the internalizing problems for int_raw_0,,,1.0.0,,categorical,,,,,,,,Internalizing problems,, -LifeCycle_CDM,outcome,int_pc_0,"internalizing problems, percentiles of int_pro_0",,,1.0.0,,continuous,,,,,,,,Internalizing problems,, -LifeCycle_CDM,outcome,int_pro_0,total internalizing problems score after prorating int_raw_0,,,1.0.0,,continuous,,,,,,,,Internalizing problems,, -LifeCycle_CDM,outcome,int_raw_0,"internalizing problems, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"For SDQ, combine the emotional and peer items. - -The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized.",,,Internalizing problems,, -LifeCycle_CDM,outcome,lan_age_0,exact age of the child (in years) when language were recorded for lan_raw_0,,,1.0.0,,continuous,year,,,,"Calculate age in years as -(date of test assessment - date of birth)/365.2422",,,Language,, -LifeCycle_CDM,outcome,lan_avg_0,average of available items comprising the total raw score of lan_raw_0,,,1.0.0,,continuous,,,,,,,,Language,, -LifeCycle_CDM,outcome,lan_eval_0,who the test for measuring language was administered/answered by for lan_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Language,, -LifeCycle_CDM,outcome,lan_instr_0,Cohort-specific instrument used to measure the language for lan_raw_0,,,1.0.0,,categorical,,,,,"Use the following specified scales: +3. Use of asthma medication in the past 12 months",,,MeDALL,,,True,,0,,, +LifeCycle,outcome,asthma_ever_CHICOS,School age asthma according to CHICOS definition,,,1.0.0,,binary,,,,,"Asthma diagnosis at the age of ≥5 years. Where data are available, asthma should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,CHICOS,,,False,,,,, +LifeCycle,outcome,asthma_ever_MeDALL,Ever diagnosis of asthma according to MeDALL definition,,,1.0.0,,binary,,,,,"Ever diagnosis of asthma. Where data are available, asthma should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,MeDALL,,,False,,,,, +LifeCycle,outcome,asthma_med_,use of asthma medication within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,,,,Asthma medication,,,True,,0,,, +LifeCycle,outcome,asthma_med_spec_,"use of asthma medication, type specified, within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,categorical,,,,,,,,Asthma medication,,,False,,,,, +LifeCycle,outcome,bicepsf_,Child's bicep skinfold (0 and <1 month),,,1.0.0,,continuous,mm,,,,,,,Bicep skinfold,,,False,,,,, +LifeCycle,outcome,bicepsfage_,Age at bicep skinfold measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Bicep skinfold,,,False,,,,, +LifeCycle,outcome,glucose_cord,Glucose measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,,,False,,,,, +LifeCycle,outcome,bicepsfmes_,Measured vs. reported child bicep skinfold (0 and <1 month),,,1.0.0,,binary,,,,,,,,Bicep skinfold,,,False,,,,, +LifeCycle,outcome,bio_,Child's body fat % from bioimpedance (0 and <1 month),,,1.0.0,,continuous,%,,,,,,,Body Composition,,,True,,0,,, +LifeCycle,outcome,bioage_,Age at bioimpedance measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Body Composition,,,True,,0,,, +LifeCycle,outcome,biomes_,Device used to measure bioimpedance (0 and <1 month),,,1.0.0,,binary,,,,,,,,Body Composition,,,True,,0,,, +LifeCycle,outcome,bpage_,Age at peripheral blood pressure measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Blood pressure,,,True,,0,,, +LifeCycle,outcome,cbpage_,Age at central (i.e. aortic) blood pressure measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Blood pressure,,,False,,,,, +LifeCycle,outcome,cbpsit_,Standing or sitting when central (i.e. aortic) blood pressure measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Blood pressure,,,False,,,,, +LifeCycle,outcome,cdbp_,Child's central (i.e. aortic) diastolic blood pressure (0 and <1 month),,,1.0.0,,continuous,mmHg,,,,,,,Blood pressure,,,False,,,,, +LifeCycle,outcome,cfpwv_,Child's carotid-femoral pulse wave velocity (0 and <1 month),,,1.0.0,,continuous,metre_per_second,,,,,,,Pulse,,,False,,,,, +LifeCycle,outcome,cfpwvage_,Age at carotid-femoral pulse wave velocity measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Pulse,,,False,,,,, +LifeCycle,outcome,chol_,Child's total cholesterol (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,Cholesterol,,,True,,0,,, +LifeCycle,outcome,chol_cord,total cholesterol measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,,,False,,,,, +LifeCycle,outcome,cholage_,Age at total cholesterol measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Cholesterol,,,True,,0,,, +LifeCycle,outcome,cholmes_,Nonfasting or fasting when total cholesterol measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Cholesterol,,,True,,0,,, +LifeCycle,outcome,cimt_,Child's carotid intima-media thickness (0 and <1 month),,,1.0.0,,continuous,mm,,,,,,,Measurements,,,False,,,,, +LifeCycle,outcome,cimtage_,Age at carotid intima-media thickness measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Measurements,,,False,,,,, +LifeCycle,outcome,cimtmes_,Measured vs. reported child waist circumference (0 and <1 month),,,1.0.0,,binary,,,,,,,,Waist circumference,,,False,,,,, +LifeCycle,outcome,crp_,Child's CRP (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,Measurements,,,False,,,,, +LifeCycle,outcome,crp_cord,CRP measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,,,False,,,,, +LifeCycle,outcome,crpage_,Age at CRP measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Measurements,,,False,,,,, +LifeCycle,outcome,crpmes_,Nonfasting or fasting when CRP measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Measurements,,,False,,,,, +LifeCycle,outcome,crpwv_,Child's carotid-radial pulse wave velocity (0 and <1 month),,,1.0.0,,continuous,metre_per_second,,,,,,,Pulse,,,False,,,,, +LifeCycle,outcome,crpwvage_,Age at carotid-radial pulse wave velocity measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Pulse,,,False,,,,, +LifeCycle,outcome,csbp_,Child's central (i.e. aortic) systolic blood pressure (0 and <1 month),,,1.0.0,,continuous,mmHg,,,,,,,Blood pressure,,,False,,,,, +LifeCycle,outcome,dbp_,Child's diastolic blood pressure - 1st measurement (0 and <1 month),,,1.0.0,,continuous,mmHg,,,,,,,Blood pressure,,,True,Week,0,42,, +LifeCycle,outcome,dbpav_,Child's diastolic blood pressure - average (0 and <1 month),,,1.0.0,,continuous,mmHg,,,,,,,Blood pressure,,,True,,0,,, +LifeCycle,outcome,dominant_armc_,Arm circumference measured in dominant or non-dominant arm (0 and <1 month),,,1.0.0,,binary,,,,,,,,Arm circumference,,,False,,,,, +LifeCycle,outcome,dxafm_,Child's whole-body DXA fat mass (0 and <1 month),,,1.0.0,,continuous,gram,,,,,,,Body Composition,,,False,,,,, +LifeCycle,outcome,dxafmage_,Age at DXA fat mass measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Body Composition,,,False,,,,, +LifeCycle,outcome,dxafmmes_,Device used to measure DXA fat mass (0 and <1 month),,,1.0.0,,binary,,,,,,,,Body Composition,,,False,,,,, +LifeCycle,outcome,dxalm_,Child's whole-body DXA lean mass (0 and <1 month),,,1.0.0,,continuous,gram,,,,,,,Body Composition,,,False,,,,, +LifeCycle,outcome,dxalmage_,Age at DXA lean mass measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Body Composition,,,False,,,,, +LifeCycle,outcome,dxalmmes_,Device used to measure DXA lean mass (0 and <1 month),,,1.0.0,,binary,,,,,,,,Body Composition,,,False,,,,, +LifeCycle,outcome,eczema_,Doctor diagnosis of eczema within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, eczema should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Eczema,,,True,Trimester,0,3,, +LifeCycle,outcome,eczema_m,Maternal history of eczema before pregnancy (of index child),,,1.0.0,,binary,,,,,"Mothers who were asked whether their asthma was diagnosed by a doctor but who did not know or were unsure, should be coded as missing.",,,Respiratory allergy and skin characteristics,,,False,,,,, +LifeCycle,outcome,ext_age_,exact age of the child (in years) when externalizing problems were recorded for ext_raw_0,,,1.0.0,,continuous,year,,,,Calculate age in years as (date of test assessment - date of birth)/365.2422,,,Externalizing problems,,,True,Trimester,0,3,, +LifeCycle,outcome,ext_avg_,average of available items comprising the total raw score of ext_raw_0,,,1.0.0,,continuous,,,,,,,,Externalizing problems,,,True,Trimester,0,3,, +LifeCycle,outcome,ext_eval_,who the test for measuring externalizing problems was administered/answered by for ext_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Externalizing problems,,,True,Trimester,0,3,, +LifeCycle,outcome,glucoseage_,Age at glucose measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,ext_instr_,Cohort-specific instrument used to measure the externalizing problems for ext_raw_0,,,1.0.0,,categorical,,,,,,,,Externalizing problems,,,True,Trimester,0,3,, +LifeCycle,outcome,ext_pc_,"externalizing problems, percentiles of ext_pro_0",,,1.0.0,,continuous,,,,,,,,Externalizing problems,,,True,,0,,, +LifeCycle,outcome,ext_pro_,total externalizing problems score after prorating ext_raw_0,,,1.0.0,,continuous,,,,,,,,Externalizing problems,,,True,Trimester,0,3,, +LifeCycle,outcome,ext_raw_,"externalizing problems, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"For SDQ, combine the conduct problems and hyperactivity/inattention items. + +The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized.",,,Externalizing problems,,,True,Trimester,0,3,, +LifeCycle,outcome,f_dbp_,Father's diastolic blood pressure during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmHg,,,,,,,Paternal measurements,,,False,,,,, +LifeCycle,outcome,f_sbp_,Father's systolic blood pressure during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmHg,,,,,,,Paternal measurements,,,False,,,,, +LifeCycle,outcome,fm_age_,exact age of the child (in years) when fine motor were recorded for fm_raw_0,,,1.0.0,,continuous,year,,,,"Calculate age in years as +(date of test assessment - date of birth)/365.2422",,,Fine motor,,,False,,,,, +LifeCycle,outcome,fm_avg_,average of available items comprising the total raw score of fm_raw_0,,,1.0.0,,continuous,,,,,,,,Fine motor,,,False,,,,, +LifeCycle,outcome,fm_eval_,who the test for measuring fine motor was administered/answered by for fm_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Fine motor,,,False,,,,, +LifeCycle,outcome,fm_instr_,Cohort-specific instrument used to measure the fine motor for fm_raw_0,,,1.0.0,,categorical,,,,,,,,Fine motor,,,False,,,,, +LifeCycle,outcome,fm_pc_,"fine motor, percentiles of fm_pro_0",,,1.0.0,,continuous,,,,,,,,Fine motor,,,False,,,,, +LifeCycle,outcome,fm_pro_,total fine motor score after prorating fm_raw_0,,,1.0.0,,continuous,,,,,"If fine motor is measured using “computerized” test, create prorated scores equals to raw scores: fm_pro_0=fm_raw_0",,,Fine motor,,,False,,,,, +LifeCycle,outcome,fm_raw_,"fine motor, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized",,,Fine motor,,,False,,,,, +LifeCycle,outcome,fm_std_,"fine motor, standardized score of fm_pro_0",,,1.0.0,,continuous,,,,,,,,Fine motor,,,False,,,,, +LifeCycle,outcome,food_all_,Doctor diagnosis of food allergy within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, allergy should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Food allergy,,,True,,0,,, +LifeCycle,outcome,food_all_ever,Ever doctor diagnosis of food allergy,,,1.0.0,,binary,,,,,"Where data are available, allergy should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Food allergy,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_,"Food allergic sensitization, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Any food allergic sensitization (Skin prick test),,,False,,,,, +LifeCycle,outcome,gm_age_,exact age of the child (in years) when gross motor were recorded for gm_raw_0,,,1.0.0,,continuous,year,,,,"Calculate age in years as +(date of test assessment - date of birth)/365.2422",,,Gross motor,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_COWMILK_,"Food allergic sensitization to cowmilk, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Cow milk,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_EGG_,"Food allergic sensitization to chicken egg, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Chicken egg,,,False,,,,, +LifeCycle,outcome,il6mes_,Nonfasting or fasting when IL-6 measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_FISH_cod_,"Food allergic sensitization to cod fish, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Fish,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_FISH_mix_,"Food allergic sensitization to fish mix, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Please specify in online gatalogue which types of fish were included in the mix,,,Fish,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_FRUIT_kiw_,"Food allergic sensitization to kiwi fruit, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Fruit,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_FRUIT_pea_,"Food allergic sensitization to peach fruit, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Fruit,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_NUT_cas_,"Food allergic sensitization to cashew nut, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Nut,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_NUT_haz_,"Food allergic sensitization to hazelnut, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Nut,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_NUT_mix_,"Food allergic sensitization to nut mix, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Please specify in online catalogue which nuts were included in the mix,,,Nut,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_NUT_wal_,"Food allergic sensitization to walnut, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Nut,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_PNT_,"Food allergic sensitization to peanut, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Peanut,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_SES_,"Food allergic sensitization to sesame, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Sesame,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_SHELL_mix_,"Food allergic sensitization to shellfish mix, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Please specify in online catalogue which types of shellfish were included in the mix,,,Shellfish,,,False,,,,, +LifeCycle,outcome,food_all_sens_SPT_WHEAT_,"Food allergic sensitization to wheat, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Wheat,,,False,,,,, +LifeCycle,outcome,glucose_,Child's glucose (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,glucosemes_,Nonfasting or fasting when glucose measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,gm_avg_,average of available items comprising the total raw score of gm_raw_0,,,1.0.0,,continuous,,,,,,,,Gross motor,,,False,,,,, +LifeCycle,outcome,m_crp_,Mother's CRP during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,,,False,,,,, +LifeCycle,outcome,gm_eval_,who the test for measuring gross motor was administered/answered by for gm_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Gross motor,,,False,,,,, +LifeCycle,outcome,gm_instr_,Cohort-specific instrument used to measure the gross motor for gm_raw_0,,,1.0.0,,categorical,,,,,,,,Gross motor,,,False,,,,, +LifeCycle,outcome,gm_pc_,"gross motor, percentiles of gm_pro_0",,,1.0.0,,continuous,,,,,,,,Gross motor,,,False,,,,, +LifeCycle,outcome,gm_pro_,total gross motor score after prorating gm_raw_0,,,1.0.0,,continuous,,,,,"If gross motor is measured using “computerized” test, create prorated scores equals to raw scores: gm_pro_0=gm_raw_0",,,Gross motor,,,False,,,,, +LifeCycle,outcome,gm_raw_,"gross motor, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized",,,Gross motor,,,False,,,,, +LifeCycle,outcome,gm_std_,"gross motor, standardized score of gm_pro_0",,,1.0.0,,continuous,,,,,,,,Gross motor,,,False,,,,, +LifeCycle,outcome,haem_,Child's haemoglobin (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,haem_cord,Haemoglobin from cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,,,False,,,,, +LifeCycle,outcome,haemage_,Age at haemoglobin measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,haemmes_,Nonfasting or fasting when haemoglobin measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,hba1c_,Child's HbA1c (0 and <1 month),,,1.0.0,,continuous,%,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,hba1c_cord,HbA1c measured from cord blood,,,1.0.0,,continuous,%,,,,,,,,,,False,,,,, +LifeCycle,outcome,hba1cage_,Age at HbA1c measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,hba1cmes_,Nonfasting or fasting when HbA1c measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,hdlc_,Child's HDLc (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,Cholesterol,,,True,,0,,, +LifeCycle,outcome,hdlc_cord,HDLc measurd in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,,,False,,,,, +LifeCycle,outcome,hdlcage_,Age at HDLc measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Cholesterol,,,True,,0,,, +LifeCycle,outcome,hdlcmes_,Nonfasting or fasting when HDLc measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Cholesterol,,,True,,0,,, +LifeCycle,outcome,headcirc_,Child's head circumference (0 and <1 month),,,1.0.0,,continuous,cm,,,,,,,Head circumference,,,True,Year,0,21,, +LifeCycle,outcome,headcircage_,Age at head circumference measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Head circumference,,,True,Year,0,21,, +LifeCycle,outcome,headcircmes_,Measured vs. reported child head circumference (0 and <1 month),,,1.0.0,,binary,,,,,,,,Head circumference,,,True,Year,0,21,, +LifeCycle,outcome,heightmes_,Method used to measure child's height (0 and <1 month),,,1.0.0,,categorical,,,,,,,,Child's height,,,False,,,,, +LifeCycle,outcome,hipcirc_,Child's hip circumference (0 and <1 month),,,1.0.0,,continuous,cm,,,,,,,Hip circumference,,,True,,0,,, +LifeCycle,outcome,hipcircage_,Age at hip circumference measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Hip circumference,,,True,,0,,, +LifeCycle,outcome,hipcircmes_,Measured vs. reported child hip circumference (0 and <1 month),,,1.0.0,,binary,,,,,,,,Hip circumference,,,True,,0,,, +LifeCycle,outcome,il6_,Child's IL-6 (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,il6_cord,IL-6 measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,,,False,,,,, +LifeCycle,outcome,il6age_,Age at IL-6 measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,m_dbp_,Mother's diastolic blood pressure during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmHg,,,,,,,Maternal measurements,,,False,,,,, +LifeCycle,outcome,inh_all_,Doctor diagnosis of inhalant allergy within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, allergy should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Inhalant allergy,,,True,Trimester,0,3,, +LifeCycle,outcome,inh_all_ever,Ever doctor diagnosis of inhalant allergy,,,1.0.0,,binary,,,,,"Where data are available, allergy should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Inhalant allergy,,,False,,,,, +LifeCycle,outcome,inh_all_sens_IgE_CAT_,"Inhalant allergic sensitization to cat, measured by IgE within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,kua_l,,,,Please specify in online catalogue which species were tested,,,Cat (IgE),,,False,,,,, +LifeCycle,outcome,inh_all_sens_IgE_HDM_,"Inhalant allergic sensitization to house dust mite, measured by IgE within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,kua_l,,,,Please specify in online catalogue which species were tested,,,House dust mite (IgE),,,False,,,,, +LifeCycle,outcome,inh_all_sens_IgE_MOULD_,"Inhalant allergic sensitization to mould, measured by IgE within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,kua_l,,,,Please specify in online catalogue which species were tested,,,Mould,,,False,,,,, +LifeCycle,outcome,vldlc_cord,vLDLc measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,,,False,,,,, +LifeCycle,outcome,inh_all_sens_IgE_RYE_,"Inhalant allergic sensitization to rye, measured by IgE within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,continuous,kua_l,,,,Please specify in online catalogue which species were tested,,,Rye,,,False,,,,, +LifeCycle,outcome,inh_all_sens_SPT_,"Inhalant allergic sensitization, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Any inhalant allergic sensitization (Skin prick test),,,False,,,,, +LifeCycle,outcome,inh_all_sens_SPT_CAT_,"Inhalant allergic sensitization to cat, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Cat (Skin prick test),,,False,,,,, +LifeCycle,outcome,inh_all_sens_SPT_DOG_,"Inhalant allergic sensitization to dog, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Dog,,,False,,,,, +LifeCycle,outcome,inh_all_sens_SPT_GRASS_mix_,"Inhalant allergic sensitization to grass mix, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Please specify in online catalogue which species were included in the mix,,,Grass,,,False,,,,, +LifeCycle,outcome,inh_all_sens_SPT_GRASS_tim_,"Inhalant allergic sensitization to timothy grass, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Grass,,,False,,,,, +LifeCycle,outcome,inh_all_sens_SPT_HDM_derf_,"Inhalant allergic sensitization to house dust mite (dermatophagoides farinae), measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,House dust mite (Skin prick test),,,False,,,,, +LifeCycle,outcome,inh_all_sens_SPT_HDM_derp_,"Inhalant allergic sensitization to house dust mite (dermatophagoides pteronyssinus), measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,House dust mite (Skin prick test),,,False,,,,, +LifeCycle,outcome,inh_all_sens_SPT_HDM_mix_,"Inhalant allergic sensitization to house dust mite mix, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Please specify in online catalogue which species were included in the mix,,,House dust mite (Skin prick test),,,False,,,,, +LifeCycle,outcome,inh_all_sens_SPT_TREE_birch_,"Inhalant allergic sensitization to birch, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Tree,,,False,,,,, +LifeCycle,outcome,ldlcage_,Age at LDLc measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Cholesterol,,,True,,0,,, +LifeCycle,outcome,inh_all_sens_SPT_TREE_mix_,"Inhalant allergic sensitization to tree polen mix, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,Please specify in online catalogue which species were included in the mix,,,Tree,,,False,,,,, +LifeCycle,outcome,inhalant_all_sens_SPT_,"Inhalant allergic sensitization, measured by skin prick test within one year of birth (child aged between >-1 year and <1 year)",,,1.0.0,,binary,,,,,,,,Any inhalant allergic sensitization (Skin prick test),,,False,,,,, +LifeCycle,outcome,insulin_,Child's insulin (0 and <1 month),,,1.0.0,,continuous,mu/litre,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,insulin_cord,Insulin measured in cord blood,,,1.0.0,,continuous,mu/litre,,,,,,,,,,False,,,,, +LifeCycle,outcome,insulinage_,Age at insulin measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,insulinmes_,Nonfasting or fasting when insulin measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,int_age_,exact age of the child (in years) when internalizing problems were recorded for int_raw_0,,,1.0.0,,continuous,year,,,,Calculate age in years as (date of test assessment - date of birth)/365.2422,,,Internalizing problems,,,True,Trimester,0,3,, +LifeCycle,outcome,int_avg_,average of available items comprising the total raw score of int_raw_0,,,1.0.0,,continuous,,,,,,,,Internalizing problems,,,True,Trimester,0,3,, +LifeCycle,outcome,m_glucose_,Mother's glucose during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,,,False,,,,, +LifeCycle,outcome,int_eval_,who the test for measuring internalizing problems was administered/answered by for int_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Internalizing problems,,,True,Trimester,0,3,, +LifeCycle,outcome,int_instr_,Cohort-specific instrument used to measure the internalizing problems for int_raw_0,,,1.0.0,,categorical,,,,,,,,Internalizing problems,,,True,Trimester,0,3,, +LifeCycle,outcome,int_pc_,"internalizing problems, percentiles of int_pro_0",,,1.0.0,,continuous,,,,,,,,Internalizing problems,,,True,,0,,, +LifeCycle,outcome,int_pro_,total internalizing problems score after prorating int_raw_0,,,1.0.0,,continuous,,,,,,,,Internalizing problems,,,True,Trimester,0,3,, +LifeCycle,outcome,int_raw_,"internalizing problems, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"For SDQ, combine the emotional and peer items. + +The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized.",,,Internalizing problems,,,True,Trimester,0,3,, +LifeCycle,outcome,lan_age_,exact age of the child (in years) when language were recorded for lan_raw_0,,,1.0.0,,continuous,year,,,,"Calculate age in years as +(date of test assessment - date of birth)/365.2422",,,Language,,,True,,0,,, +LifeCycle,outcome,lan_avg_,average of available items comprising the total raw score of lan_raw_0,,,1.0.0,,continuous,,,,,,,,Language,,,True,,0,,, +LifeCycle,outcome,lan_eval_,who the test for measuring language was administered/answered by for lan_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Language,,,True,,0,,, +LifeCycle,outcome,lan_instr_,Cohort-specific instrument used to measure the language for lan_raw_0,,,1.0.0,,categorical,,,,,"Use the following specified scales: Expressive subscale for BAS, BDIST; Auditory expressive for ELM; Language development speaking = for EYFSP; @@ -1146,34 +1041,31 @@ Verbal for MSCA; Verbal comprehension for WAIS, WISC; Verbal IQ for WPPSI; Expressive naming, verbal fluency for NEPSY-II; -Speech and language achievements for STYCAR",,,Language,, -LifeCycle_CDM,outcome,lan_pc_0,"language, percentiles of lan_pro_0",,,1.0.0,,continuous,,,,,,,,Language,, -NFBC1966,core,age_mdg22,age_mdg22,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,outcome,lan_pro_0,total language score after prorating lan_raw_0,,,1.0.0,,continuous,,,,,"If language is measured using “computerized” test, create prorated scores equals to raw scores: lan_pro_0=lan_raw_0",,,Language,, -LifeCycle_CDM,outcome,lan_raw_0,"language, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized",,,Language,, -LifeCycle_CDM,outcome,lan_std_0,"language, standardized score of lan_pro_0",,,1.0.0,,continuous,,,,,,,,Language,, -LifeCycle_CDM,outcome,ldlc_0,Child's LDLc (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,Cholesterol,, -LifeCycle_CDM,outcome,ldlc_cord,LDLc measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,, -OOM_CDM,EUROCAT,malfo3,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,, -LifeCycle_CDM,outcome,ldlcmes_0,Nonfasting or fasting when LDLc measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Cholesterol,, -LifeCycle_CDM,outcome,leptin_0,Child's leptin (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,leptin_cord,leptin measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,, -LifeCycle_CDM,outcome,leptinage_0,Age at leptin measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,leptinmes_0,Nonfasting or fasting when leptin measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,m_chol_0,Mother's total cholesterol during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,, -PELAGIE,BDD_ethers,MAA,MAA concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,, -LifeCycle_CDM,outcome,m_haem_0,Mother's haemoglobin during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,, -LifeCycle_CDM,outcome,m_hba1c_0,Mother's HbA1c during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,%,,,,,,,Maternal measurements,, -LifeCycle_CDM,outcome,m_hdlc_0,Mother's HDLc during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,, -LifeCycle_CDM,outcome,m_insulin_0,Mother's insulin during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mu/litre,,,,,,,Maternal measurements,, -LifeCycle_CDM,outcome,m_ldlc_0,Mother's LDLc during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,, -LifeCycle_CDM,outcome,m_sbp_0,Mother's systolic blood pressure during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmHg,,,,,,,Maternal measurements,, -LifeCycle_CDM,outcome,m_triglycerides_0,Mother's triglycerides during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,, -LifeCycle_CDM,outcome,nvi_age_0,exact age of the child (in years) when non-verbal intelligence were recorded for nvi_raw_0,,,1.0.0,,continuous,year,,,,"Calculate age in years as -(date of test assessment - date of birth)/365.2422",,,Non-verbal intelligence,, -LifeCycle_CDM,outcome,nvi_avg_0,average of available items comprising the total raw score of nvi_raw_0,,,1.0.0,,continuous,,,,,,,,Non-verbal intelligence,, -LifeCycle_CDM,outcome,nvi_eval_0,who the test for measuring non-verbal intelligence was administered/answered by for nvi_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Non-verbal intelligence,, -LifeCycle_CDM,outcome,nvi_instr_0,Cohort-specific instrument used to measure the non-verbal intelligence for nvi_raw_0,,,1.0.0,,categorical,,,,,"Use the following specified scales: +Speech and language achievements for STYCAR",,,Language,,,True,,0,,, +LifeCycle,outcome,lan_pc_,"language, percentiles of lan_pro_0",,,1.0.0,,continuous,,,,,,,,Language,,,True,,0,,, +LifeCycle,outcome,lan_pro_,total language score after prorating lan_raw_0,,,1.0.0,,continuous,,,,,"If language is measured using “computerized” test, create prorated scores equals to raw scores: lan_pro_0=lan_raw_0",,,Language,,,True,,0,,, +LifeCycle,outcome,lan_raw_,"language, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized",,,Language,,,True,,0,,, +LifeCycle,outcome,lan_std_,"language, standardized score of lan_pro_0",,,1.0.0,,continuous,,,,,,,,Language,,,True,,0,,, +LifeCycle,outcome,ldlc_,Child's LDLc (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,Cholesterol,,,True,,0,,, +LifeCycle,outcome,ldlc_cord,LDLc measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,,,False,,,,, +LifeCycle,outcome,ldlcmes_,Nonfasting or fasting when LDLc measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Cholesterol,,,True,,0,,, +LifeCycle,outcome,leptin_,Child's leptin (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,leptin_cord,leptin measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,,,False,,,,, +LifeCycle,outcome,leptinage_,Age at leptin measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,leptinmes_,Nonfasting or fasting when leptin measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,,,False,,,,, +LifeCycle,outcome,m_chol_,Mother's total cholesterol during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,,,False,,,,, +LifeCycle,outcome,m_haem_,Mother's haemoglobin during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,,,False,,,,, +LifeCycle,outcome,m_hba1c_,Mother's HbA1c during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,%,,,,,,,Maternal measurements,,,False,,,,, +LifeCycle,outcome,m_hdlc_,Mother's HDLc during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,,,False,,,,, +LifeCycle,outcome,m_insulin_,Mother's insulin during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mu/litre,,,,,,,Maternal measurements,,,False,,,,, +LifeCycle,outcome,m_ldlc_,Mother's LDLc during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,,,False,,,,, +LifeCycle,outcome,m_sbp_,Mother's systolic blood pressure during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmHg,,,,,,,Maternal measurements,,,False,,,,, +LifeCycle,outcome,m_triglycerides_,Mother's triglycerides during pregnancy between 0-6 days of gestation (0 completed weeks),,,1.0.0,,continuous,mmol/litre,,,,,,,Maternal measurements,,,False,,,,, +LifeCycle,outcome,nvi_age_,exact age of the child (in years) when non-verbal intelligence were recorded for nvi_raw_0,,,1.0.0,,continuous,year,,,,"Calculate age in years as +(date of test assessment - date of birth)/365.2422",,,Non-verbal intelligence,,,True,,0,,, +LifeCycle,outcome,nvi_avg_,average of available items comprising the total raw score of nvi_raw_0,,,1.0.0,,continuous,,,,,,,,Non-verbal intelligence,,,True,,0,,, +LifeCycle,outcome,nvi_eval_,who the test for measuring non-verbal intelligence was administered/answered by for nvi_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Non-verbal intelligence,,,True,,0,,, +LifeCycle,outcome,nvi_instr_,Cohort-specific instrument used to measure the non-verbal intelligence for nvi_raw_0,,,1.0.0,,categorical,,,,,"Use the following specified scales: Problem solving for ASQ; Cognitive for BSID and HELP; Perceptual-performance for MSCA; @@ -1181,396 +1073,1596 @@ Performance IQ for WPPSI; Fluid reasoning index for WISC; Perceptual reasoning for WAIS; Practical reasoning for GMDS; -Visual/spatial for GDO-R",,,Non-verbal intelligence,, -LifeCycle_CDM,outcome,nvi_pc_0,"non-verbal intelligence, percentiles of nvi_pro_0",,,1.0.0,,continuous,,,,,,,,Non-verbal intelligence,, -LifeCycle_CDM,outcome,nvi_pro_0,total non-verbal intelligence score after prorating nvi_raw_0,,,1.0.0,,continuous,,,,,"If non-verbal intelligence is measured using “computerized” test, create prorated scores equals to raw scores: nvi_pro_0=nvi_raw_0",,,Non-verbal intelligence,, -LifeCycle_CDM,outcome,nvi_raw_0,"non-verbal intelligence, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized",,,Non-verbal intelligence,, -LifeCycle_CDM,outcome,nvi_std_0,"non-verbal intelligence, standardized score of nvi_pro_0",,,1.0.0,,continuous,,,,,,,,Non-verbal intelligence,, -LifeCycle_CDM,outcome,pets_preg,"Furry pet (dogs, cats, rodents) ownership in child's household during pregnancy.",,,1.0.0,,binary,,,,,,,,Furry Pets,, -LifeCycle_CDM,outcome,pulse_0,Child's pulse rate (0 and <1 month),,,1.0.0,,continuous,bpm,,,,,,,Pulse,, -LifeCycle_CDM,outcome,pulseage_0,Age at pulse rate measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Pulse,, -LifeCycle_CDM,outcome,pulsemessit_0,Standing or sitting when pulse rate measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Pulse,, -ATHLETE_CDM,outcome_ath,head_circum_sdsWHOEUR_t2,Gestational age- and sex-adjusted head circumference SDS  in 2nd trimester based on European WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,, -LifeCycle_CDM,outcome,rash_0,Itchy rash within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, itchy rash should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Itchy rash,, -LifeCycle_CDM,outcome,whe_0,wheezing within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, wheezing should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Wheezing,, -NFBC1966,core,C6614Q_NTT_045,C6614Q_NTT_045,,,1.0.0,,categorical,,,,,Father's smoking ( at 14-year follow-up),,,,, -LifeCycle_CDM,outcome,rash_loc_0,Location of itchy rash typical for eczema within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, itchy rash and location should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized. Locations typical for itchy rash are folds of the elbow, behind the knees, in front of the ankles, under the buttocks, or around the neck, ears of eyes (ISAAC).",,,Itchy rash,, -LifeCycle_CDM,outcome,repro_0,Reproducibility of the spirometry within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Reproducibility should preferably be according to ERS/ATS criteria. If not, the variable is partially harmonized.",,,Reproducibility,, -LifeCycle_CDM,outcome,sbp_0,Child's systolic blood pressure - 1st measurement (0 and <1 month),,,1.0.0,,continuous,mmHg,,,,,,,Blood pressure,, -LifeCycle_CDM,outcome,sbpav_0,Child's systolic blood pressure - average (0 and <1 month),,,1.0.0,,continuous,mmHg,,,,,,,Blood pressure,, -LifeCycle_CDM,outcome,sittinght_0,Child's sitting height (0 and <1 month),,,1.0.0,,continuous,cm,,,,,,,Sitting height,, -LifeCycle_CDM,outcome,sittinghtage_0,Age at sitting height measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Sitting height,, -LifeCycle_CDM,outcome,sittinghtmes_0,Measured vs. reported child sitting height (0 and <1 month),,,1.0.0,,binary,,,,,,,,Sitting height,, -LifeCycle_CDM,outcome,subscapsf_0,Child's subscapular skinfold (0 and <1 month),,,1.0.0,,continuous,mm,,,,,,,Subscapular skinfold,, -LifeCycle_CDM,outcome,subscapsfage_0,Age at subscapular skinfold measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Subscapular skinfold,, -LifeCycle_CDM,outcome,subscapsfmes_0,Measured vs. reported child subscapular skinfold (0 and <1 month),,,1.0.0,,binary,,,,,,,,Subscapular skinfold,, -LifeCycle_CDM,outcome,suprasf_0,Child's suprailiac skinfold (0 and <1 month),,,1.0.0,,continuous,mm,,,,,,,Suprailiac skinfold,, -LifeCycle_CDM,outcome,suprasfage_0,Age at suprailiac skinfold measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Suprailiac skinfold,, -LifeCycle_CDM,outcome,suprasfmes_0,Measured vs. reported child suprailiac skinfold (0 and <1 month),,,1.0.0,,binary,,,,,,,,Suprailiac skinfold,, -LifeCycle_CDM,outcome,tricepsf_0,Child's tricep skinfold (0 and <1 month),,,1.0.0,,continuous,mm,,,,,,,Tricep skinfold,, -LifeCycle_CDM,outcome,tricepsfage_0,Age at tricep skinfold measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Tricep skinfold,, -LifeCycle_CDM,outcome,tricepsfmes_0,Measured vs. reported child tricep skinfold (0 and <1 month),,,1.0.0,,binary,,,,,,,,Tricep skinfold,, -LifeCycle_CDM,outcome,triglycerides_0,Child's triglycerides (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,triglycerides_cord,Triglycerides measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,, -LifeCycle_CDM,outcome,triglyceridesage_0,Age at triglycerides measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,, -NFBC1966,core,age_fdg10,age_fdg10,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -LifeCycle_CDM,outcome,triglyceridesmes_0,Nonfasting or fasting when triglycerides measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,, -LifeCycle_CDM,outcome,urticaria,Ever diagnosis of urticaria,,,1.0.0,,binary,,,,,"Where data are available, urticaria should be doctor diagnosed. If this is not the case, the variabele is partially harmonized",,,Urticaria,, -LifeCycle_CDM,outcome,vldlc_0,Child's vLDLc (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,Cholesterol,, -LifeCycle_CDM,outcome,vldlc_cord,vLDLc measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,, -LifeCycle_CDM,outcome,vldlcage_0,Age at vLDLc measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Cholesterol,, -LifeCycle_CDM,outcome,vldlcmes_0,Nonfasting or fasting when vLDLc measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Cholesterol,, -LifeCycle_CDM,outcome,waistcirc_0,Child's waist circumference (0 and <1 month),,,1.0.0,,continuous,cm,,,,,,,Waist circumference,, -LifeCycle_CDM,outcome,waistcircage_0,Age at waist circumference measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Waist circumference,, -LifeCycle_CDM,outcome,waistcircmes_0,Measured vs. reported child waist circumference (0 and <1 month),,,1.0.0,,binary,,,,,,,,Waist circumference,, -LifeCycle_CDM,outcome,weightmes_0,Method used to measure child's weight (0 and <1 month),,,1.0.0,,categorical,,,,,,,,Child's weight,, -LifeCycle_CDM,outcome,whe_ever,Wheezing between ages 0-4 years,,,1.0.0,,binary,,,,,"Where data are available, wheezing should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Wheezing,, -LifeCycle_CDM,outcome,whe_ever2,Wheezing between ages 0-2 years,,,1.0.0,,binary,,,,,"Where data are available, wheezing should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,,, -LifeCycle_CDM,outcome,whe_ever5_10,Wheezing between ages 5-10 years,,,1.0.0,,binary,,,,,"Where data are available, wheezing should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Wheezing,, -LifeCycle_CDM,outcome,wm_age_0,exact age of the child (in years) when working memory were recorded for wm_raw_0,,,1.0.0,,continuous,year,,,,"Calculate age in years as -(date of test assessment - date of birth)/365.2422",,,Working memory,, -LifeCycle_CDM,outcome,wm_avg_0,average of available items comprising the total raw score of wm_raw_0,,,1.0.0,,continuous,,,,,,,,Working memory,, -LifeCycle_CDM,outcome,wm_eval_0,who the test for measuring working memory was administered/answered by for wm_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Working memory,, -LifeCycle_CDM,outcome,wm_instr_0,Cohort-specific instrument used to measure the working memory for wm_raw_0,,,1.0.0,,categorical,,,,,"For N-Back, use detectability (d') - -For N-Back use the load and stimuli with the highest number of repeated measures available during the follow-up.",,,Working memory,, -LifeCycle_CDM,outcome,wm_pc_0,"working memory, percentiles of wm_pro_0",,,1.0.0,,continuous,,,,,,,,Working memory,, -LifeCycle_CDM,outcome,wm_pro_0,total working memory score after prorating wm_raw_0,,,1.0.0,,continuous,,,,,"If working memory is measured using “computerized” test, create prorated scores equals to raw scores: wm_pro_0=wm_raw_0",,,Working memory,, -LifeCycle_CDM,outcome,wm_raw_0,"working memory, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized",,,Working memory,, -LifeCycle_CDM,outcome,wm_std_0,"working memory, standardized score of wm_pro_0",,,1.0.0,,continuous,,,,,,,,Working memory,, -LongITools_CDM,wave_01,alc_unit,"Alcohol intake, units",,,1.0.0,,categorical,,,,,Average units of alcohol per week. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,ap_age,Age at adiposity peak,,,1.0.0,,continuous,day,,,,Age at adiposity peak in days. Age when the individual experienced their highest BMI between birth and 2 years.,,,,, -LongITools_CDM,wave_01,ap_bmi,BMI at adiposity peak,,,1.0.0,,continuous,kg/m2,,,,BMI at adiposity peak. Highest BMI reached between birth and 2 years.,,,,, -LongITools_CDM,wave_01,ar_age,Age at adiposity reobund,,,1.0.0,,continuous,day,,,,Age at adiposity rebound in days. Age when the individual experienced their lowest BMI.,,,,, -LongITools_CDM,wave_01,ar_bmi,BMI at adiposity rebound,,,1.0.0,,continuous,kg/m2,,,,BMI at adiposity rebound. BMI when the individual experienced their lowest adiposity.,,,,, -LongITools_CDM,wave_01,car_plaques,Carotid plaques,,,1.0.0,,categorical,,,,,Carotid plaques. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -NFBC1966,core,C6600Q_F12v044,C6600Q_F12v044,,,1.0.0,,categorical,,,,,Mother's education,,,,, -LongITools_CDM,wave_01,chd_acs,"Coronary events and incidents, acute coronary syndrome",,,1.0.0,,categorical,,,,,Coronary events and incidents: Acute coronary syndrome. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,chd_ap,"Coronary events and incidents, angina pectoris",,,1.0.0,,categorical,,,,,Coronary events and incidents: Angina pectoris. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,chd_broad,"Coronary events and incidents, broad definition",,,1.0.0,,categorical,,,,,Has the study participant had coronary events (broad definition)? Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,chd_cabg,"Coronary events and incidents, coronary artery bypass graft",,,1.0.0,,categorical,,,,,Coronary events and incidents: Coronary artery bypass graft. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -NFBC1966,core,age_fdg29,age_fdg29,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -LongITools_CDM,wave_01,chd_hard,"Coronary events and incidents, hard definition",,,1.0.0,,categorical,,,,,Has the study participant had coronary events (hard definition)? Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,chd_mi,"Coronary events and incidents, myocardial infarction",,,1.0.0,,categorical,,,,,Coronary events and incidents: Myocardial infarction. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,chd_revasc,"Coronary events and incidents, coronary revascularisation procedures",,,1.0.0,,categorical,,,,,Coronary events and incidents: Coronary revascularisation procedures. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,chd_si,"Coronary events and incidents, silent ischemia",,,1.0.0,,categorical,,,,,Coronary events and incidents: Silent ischemia. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,cimtmeanmax,Mean or max carotid intima-media thickness,,,1.0.0,,categorical,,,,,Is the reported carotid intima-media thickness mean or maximum? Provide repeated measures in long format with corresponding age in days.,,,,, -LongITools_CDM,wave_01,cob,Country of birth,,,1.0.0,,categorical,,,,,Country of birth,,,,, -LongITools_CDM,wave_01,death,Mortality,,,1.0.0,,categorical,,,,,Indicator variable for death of the individual. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,death_cause,"Mortality, cause of death",,,1.0.0,,categorical,,,,,Cause of death.,,,,, -LongITools_CDM,wave_01,diab_t2_icd,"Type 2 diabetes, ICD10 codes",,,1.0.0,,categorical,,,,,Type 2 diabetes based on ICD10 code. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,diab_t2_sr,"Type 2 diabetes, self reported",,,1.0.0,,categorical,,,,,Type 2 diabetes based on self-reported measure. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,diet_fish,Fish and fish products,,,1.0.0,,continuous,servings/day,,,,Fish and fish products intake. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,diet_fruit,Fruits,,,1.0.0,,continuous,servings/day,,,,Fruits intake. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,diet_kcal,Daily kcal intake,,,1.0.0,,continuous,kcal/day,,,,Daily kcal intake. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,diet_na,Sodium intake,,,1.0.0,,continuous,mg/day,,,,Sodium intake. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,menopause_age,Age at menopause,,,1.0.0,,continuous,year,,,,Age at menopause in years (females only),,,,, -LongITools_CDM,wave_01,diet_swebev,Sugar-sweetened beverages,,,1.0.0,,continuous,servings/day,,,,Sugar-sweetened beverages intake. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,diet_veg,Vegetables without potatoes,,,1.0.0,,continuous,servings/day,,,,"Vegetables intake, without potatoes. Provide repeated measures in long format with corresponding age in years and method for each measure.",,,,, -LongITools_CDM,wave_01,drugs_a,"Drug use, A) Alimentary tract and metabolism drug use.",,,1.0.0,,categorical,,,,,"Drug use, A) Alimentary tract and metabolism drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -LongITools_CDM,wave_01,drugs_b,"Drug use, B) Blood and blood forming organs drug use.",,,1.0.0,,categorical,,,,,"Drug use, B) Blood and blood forming organs drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -NFBC1966,core,C6600Q_F12v020,C6600Q_F12v020,,,1.0.0,,categorical,,,,,Father's occupational status,,,,, -LongITools_CDM,wave_01,drugs_c,"Drug use, C) Cardiovascular system drug use.",,,1.0.0,,categorical,,,,,"Drug use, C) Cardiovascular system drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -LongITools_CDM,wave_01,drugs_d,"Drug use, D) Dermatological drug use.",,,1.0.0,,categorical,,,,,"Drug use, D) Dermatological drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -LongITools_CDM,wave_01,drugs_g,"Drug use, G) Genito-urinary system and sex hormones drug use.",,,1.0.0,,categorical,,,,,"Drug use, G) Genito-urinary system and sex hormones drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -LongITools_CDM,wave_01,drugs_h,"Drug use, H) Systemic hormonal preparations, excluding sex hormones and insulins drug use.",,,1.0.0,,categorical,,,,,"Drug use, H) Systemic hormonal preparations, excluding sex hormones and insulins drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -OOM_CDM,EUROCAT,condisc,,,,2.2,,,,,,false,"CONDITION AT DISCOVERY +Visual/spatial for GDO-R",,,Non-verbal intelligence,,,True,,0,,, +LifeCycle,outcome,nvi_pc_,"non-verbal intelligence, percentiles of nvi_pro_0",,,1.0.0,,continuous,,,,,,,,Non-verbal intelligence,,,True,,0,,, +LifeCycle,outcome,nvi_pro_,total non-verbal intelligence score after prorating nvi_raw_0,,,1.0.0,,continuous,,,,,"If non-verbal intelligence is measured using “computerized” test, create prorated scores equals to raw scores: nvi_pro_0=nvi_raw_0",,,Non-verbal intelligence,,,True,,0,,, +LifeCycle,outcome,nvi_raw_,"non-verbal intelligence, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized",,,Non-verbal intelligence,,,True,,0,,, +LifeCycle,outcome,nvi_std_,"non-verbal intelligence, standardized score of nvi_pro_0",,,1.0.0,,continuous,,,,,,,,Non-verbal intelligence,,,True,,0,,, +LifeCycle,outcome,pets_preg,"Furry pet (dogs, cats, rodents) ownership in child's household during pregnancy.",,,1.0.0,,binary,,,,,,,,Furry Pets,,,False,,,,, +LifeCycle,outcome,pulse_,Child's pulse rate (0 and <1 month),,,1.0.0,,continuous,bpm,,,,,,,Pulse,,,True,,0,,, +LifeCycle,outcome,pulseage_,Age at pulse rate measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Pulse,,,True,,0,,, +LifeCycle,outcome,pulsemessit_,Standing or sitting when pulse rate measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Pulse,,,True,,0,,, +ATHLETE,outcome_ath,head_circum_sdsWHOEUR_t,Gestational age- and sex-adjusted head circumference SDS  in 2nd trimester based on European WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,,,True,Trimester,0,3,, +LifeCycle,outcome,rash_,Itchy rash within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, itchy rash should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Itchy rash,,,True,,0,,, +LifeCycle,outcome,whe_,wheezing within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, wheezing should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Wheezing,,,True,,0,,, +LifeCycle,outcome,rash_loc_,Location of itchy rash typical for eczema within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Where data are available, itchy rash and location should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized. Locations typical for itchy rash are folds of the elbow, behind the knees, in front of the ankles, under the buttocks, or around the neck, ears of eyes (ISAAC).",,,Itchy rash,,,True,,0,,, +LifeCycle,outcome,repro_,Reproducibility of the spirometry within one year of birth (child aged between >-1 year and <1 year),,,1.0.0,,binary,,,,,"Reproducibility should preferably be according to ERS/ATS criteria. If not, the variable is partially harmonized.",,,Reproducibility,,,False,,,,, +LifeCycle,outcome,sbp_,Child's systolic blood pressure - 1st measurement (0 and <1 month),,,1.0.0,,continuous,mmHg,,,,,,,Blood pressure,,,True,,0,,, +LifeCycle,outcome,sbpav_,Child's systolic blood pressure - average (0 and <1 month),,,1.0.0,,continuous,mmHg,,,,,,,Blood pressure,,,True,,0,,, +LifeCycle,outcome,sittinght_,Child's sitting height (0 and <1 month),,,1.0.0,,continuous,cm,,,,,,,Sitting height,,,True,,0,,, +LifeCycle,outcome,sittinghtage_,Age at sitting height measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Sitting height,,,True,,0,,, +LifeCycle,outcome,sittinghtmes_,Measured vs. reported child sitting height (0 and <1 month),,,1.0.0,,binary,,,,,,,,Sitting height,,,True,,0,,, +LifeCycle,outcome,subscapsf_,Child's subscapular skinfold (0 and <1 month),,,1.0.0,,continuous,mm,,,,,,,Subscapular skinfold,,,True,,0,,, +LifeCycle,outcome,subscapsfage_,Age at subscapular skinfold measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Subscapular skinfold,,,True,,0,,, +LifeCycle,outcome,subscapsfmes_,Measured vs. reported child subscapular skinfold (0 and <1 month),,,1.0.0,,binary,,,,,,,,Subscapular skinfold,,,True,,0,,, +LifeCycle,outcome,suprasf_,Child's suprailiac skinfold (0 and <1 month),,,1.0.0,,continuous,mm,,,,,,,Suprailiac skinfold,,,False,,,,, +LifeCycle,outcome,suprasfage_,Age at suprailiac skinfold measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Suprailiac skinfold,,,False,,,,, +LifeCycle,outcome,suprasfmes_,Measured vs. reported child suprailiac skinfold (0 and <1 month),,,1.0.0,,binary,,,,,,,,Suprailiac skinfold,,,False,,,,, +LifeCycle,outcome,tricepsf_,Child's tricep skinfold (0 and <1 month),,,1.0.0,,continuous,mm,,,,,,,Tricep skinfold,,,True,,0,,, +LifeCycle,outcome,tricepsfage_,Age at tricep skinfold measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Tricep skinfold,,,True,,0,,, +LifeCycle,outcome,tricepsfmes_,Measured vs. reported child tricep skinfold (0 and <1 month),,,1.0.0,,binary,,,,,,,,Tricep skinfold,,,True,,0,,, +LifeCycle,outcome,triglycerides_,Child's triglycerides (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,(Molecular) biomarkers,,,True,,0,,, +LifeCycle,outcome,triglycerides_cord,Triglycerides measured in cord blood,,,1.0.0,,continuous,mmol/litre,,,,,,,,,,False,,,,, +LifeCycle,outcome,triglyceridesage_,Age at triglycerides measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,(Molecular) biomarkers,,,True,,0,,, +LifeCycle,outcome,triglyceridesmes_,Nonfasting or fasting when triglycerides measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,(Molecular) biomarkers,,,True,,0,,, +LifeCycle,outcome,urticaria,Ever diagnosis of urticaria,,,1.0.0,,binary,,,,,"Where data are available, urticaria should be doctor diagnosed. If this is not the case, the variabele is partially harmonized",,,Urticaria,,,False,,,,, +LifeCycle,outcome,vldlc_,Child's vLDLc (0 and <1 month),,,1.0.0,,continuous,mmol/litre,,,,,,,Cholesterol,,,False,,,,, +LifeCycle,outcome,vldlcage_,Age at vLDLc measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Cholesterol,,,False,,,,, +LifeCycle,outcome,vldlcmes_,Nonfasting or fasting when vLDLc measured (0 and <1 month),,,1.0.0,,binary,,,,,,,,Cholesterol,,,False,,,,, +LifeCycle,outcome,waistcirc_,Child's waist circumference (0 and <1 month),,,1.0.0,,continuous,cm,,,,,,,Waist circumference,,,True,,0,,, +LifeCycle,outcome,waistcircage_,Age at waist circumference measurement (0 and <1 month),,,1.0.0,,continuous,day,,,,,,,Waist circumference,,,True,,0,,, +LifeCycle,outcome,waistcircmes_,Measured vs. reported child waist circumference (0 and <1 month),,,1.0.0,,binary,,,,,,,,Waist circumference,,,True,,0,,, +LifeCycle,outcome,weightmes_,Method used to measure child's weight (0 and <1 month),,,1.0.0,,categorical,,,,,,,,Child's weight,,,False,,,,, +LifeCycle,outcome,whe_ever,Wheezing between ages 0-4 years,,,1.0.0,,binary,,,,,"Where data are available, wheezing should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Wheezing,,,False,,,,, +LifeCycle,outcome,whe_ever5_,Wheezing between ages 5-10 years,,,1.0.0,,binary,,,,,"Where data are available, wheezing should be obtained by ISAAC questionnaires. If this is not the case, the variabele is partially harmonized",,,Wheezing,,,False,,,,, +LifeCycle,outcome,wm_age_,exact age of the child (in years) when working memory were recorded for wm_raw_0,,,1.0.0,,continuous,year,,,,"Calculate age in years as +(date of test assessment - date of birth)/365.2422",,,Working memory,,,True,,0,,, +LifeCycle,outcome,wm_avg_,average of available items comprising the total raw score of wm_raw_0,,,1.0.0,,continuous,,,,,,,,Working memory,,,True,,0,,, +LifeCycle,outcome,wm_eval_,who the test for measuring working memory was administered/answered by for wm_raw_0,,,1.0.0,,categorical,,,,,“computerized” (value label 4) only applies if the child perform the test with automatic results. Any computerized rating scale or questionnaire does not apply.,,,Working memory,,,True,,0,,, +LifeCycle,outcome,wm_instr_,Cohort-specific instrument used to measure the working memory for wm_raw_0,,,1.0.0,,categorical,,,,,"For N-Back, use detectability (d') + +For N-Back use the load and stimuli with the highest number of repeated measures available during the follow-up.",,,Working memory,,,True,,0,,, +LifeCycle,outcome,wm_pc_,"working memory, percentiles of wm_pro_0",,,1.0.0,,continuous,,,,,,,,Working memory,,,True,,0,,, +LifeCycle,outcome,wm_pro_,total working memory score after prorating wm_raw_0,,,1.0.0,,continuous,,,,,"If working memory is measured using “computerized” test, create prorated scores equals to raw scores: wm_pro_0=wm_raw_0",,,Working memory,,,True,,0,,, +LifeCycle,outcome,wm_raw_,"working memory, total raw score assessed within one year of childbirth (>0 year and <1 year)",,,1.0.0,,continuous,,,,,"The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of score calculated using a short form of the test, please inform about it (including the items used) and categorize it as partially harmonized",,,Working memory,,,True,,0,,, +LifeCycle,outcome,wm_std_,"working memory, standardized score of wm_pro_0",,,1.0.0,,continuous,,,,,,,,Working memory,,,True,,0,,, +ATHLETE,outcome_ath,head_circum_sdsWHO_t,Gestational age-adjusted head circumference SDS  in 2nd trimester based on overall WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,homa_ir_idefics_perc_,Repeated HOMA-IR percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,att_hrtse_std_,,,,,,decimal,milliseconds,,,,"Attentional function, standardized score of standard error of hit reaction time (i.e., att_hrtse_raw_0, att_hrtse_raw_1, etc.)",,,Cognitive functioning,,,False,,,,, +ATHLETE,outcome_ath,att_instr_,,,,,,categorical,,,,,"Cohort-specific instrument used to measure the attentional function for att_raw_0, att_raw_1, etc.",,,Cognitive functioning,,,True,,0,,, +ATHLETE,outcome_ath,att_om_pc_,,,,,,decimal,,,,,"Attentional function, percentiles of number of omissions (i.e., att_om_raw_0, att_pro_raw_1, etc.)",,,Cognitive functioning,,,True,,0,,, +ATHLETE,outcome_ath,bedR_eval_,,,,,,binary,,,,,"How was the binge eating medical diagnosis reported for bedR_10, bedR_11, etc assessed.",,,Behavioral problem domains,,,False,,,,, +ATHLETE,outcome_ath,bedR_wave_,,,,,,integer,,,,,Which wave of binge eating disorder diagnosis was recorded?,,,Behavioral problem domains,,,False,,,,, +ATHLETE,outcome_ath,att_om_raw_,,,,,,decimal,,,,,"Repeated measures of attentional function, raw score of number of omissions: att_om_raw_0: assessed within one year of childbirth (>0 year and <1 year) att_om_raw_1: assessed when the child was aged between ≥ 1 year and < 2 years … att_om_raw_17: assessed when the child was aged between ≥ 17 years and < 18 years",,,Cognitive functioning,,,True,,0,,, +ATHLETE,outcome_ath,att_om_std_,,,,,,decimal,,,,,"Attentional function, standardized score of number of omissions (i.e., att_om_raw_0, att_pro_raw_1, etc.)",,,Cognitive functioning,,,True,,0,,, +ATHLETE,chemicals_ath,c_bpa_raw_birth,Newborn BPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,outcome_ath,att_wave_,,,,,,integer,,,,,Which wave of attentional function measurement was recorded?,,,Cognitive functioning,,,False,,,,, +ATHLETE,chemicals_ath,c_etpa_raw_birth,Newborn ETPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_creatinine_raw_birth,Newborn Creatinine birth levels,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,,,False,,,,, +ATHLETE,chemicals_ath,m_chrysene_raw_t,Maternal urine Chrysene trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_2mpa_lod_,limit of detection of child urine 2-MPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,c_2mpa_lod_birth,Limit of detection of newborn 2-MPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,c_2mpa_raw_,child urine 2-MPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,c_2mpa_raw_birth,Newborn 2-MPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,c_as_lod_,limit of detection of child As levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_as_lod_birth,Limit of detection of newborn As at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_as_raw_,child As levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_as_raw_birth,Newborn As birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_benzoapyrene_lod_,limit of detection of child urine benzoapyrene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_benzoapyrene_lod_birth,Limit of detection of newborn Benzo(a)pyrene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_benzoapyrene_raw_,child urine benzoapyrene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_benzoapyrene_raw_birth,Newborn Benzo(a)pyrene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_boscalid_lod_,limit of detection of child urine Boscalid levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,c_boscalid_lod_birth,Limit of detection of newborn Boscalid at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_bupa_raw_t,Maternal urine BUPA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,c_boscalid_raw_,child urine Boscalid levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,c_boscalid_raw_birth,Newborn Boscalid birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,c_bpa_lod_,limit of detection of child urine BPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bpa_lod_birth,Limit of detection of newborn BPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bpa_raw_,child urine BPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bpf_lod_,Limit of detection of child urine BPF at # years,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bpf_lod_birth,Limit of detection of newborn BPF at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bpf_raw_,Child urine BPF levels at # years,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bpf_raw_birth,Newborn BPF birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bps_lod_,limit of detection of child urine BPS levels within # year of age (child was aged between # and < #+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bps_lod_birth,Limit of detection of newborn BPS at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bps_raw_,child urine BPS levels within # year of age (child was aged between # and < #+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bps_raw_birth,Newborn BPS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bupa_lod_,limit of detection of child urine BUPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bupa_lod_birth,Limit of detection of newborn BUPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_bupa_raw_,child urine BUPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_dmtp_raw_birth,Newborn DMTP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,c_bupa_raw_birth,Newborn BUPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_cd_lod_,limit of detection of child Cd levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_cd_lod_birth,Limit of detection of newborn Cd at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_hg_raw_birth,Newborn Hg birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_cd_raw_,child Cd levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_cd_raw_birth,Newborn Cd birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_chlorphyrifos_lod_,limit of detection of child urine Chlorphyrifos levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,True,,0,,, +ATHLETE,chemicals_ath,c_chlorphyrifos_lod_birth,Limit of detection of newborn Chlorphyrifos at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,c_chlorphyrifos_raw_,child urine Chlorphyrifos levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,True,,0,,, +ATHLETE,chemicals_ath,c_chlorphyrifos_raw_birth,Newborn Chlorphyrifos birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,c_chrsene_lod_,limit of detection of child urine chrysene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfna_raw_birth,Newborn PFNA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_chrsene_lod_birth,Limit of detection of newborn Chrysene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_chrsene_raw_,child urine chrysene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_chrsene_raw_birth,Newborn Chrysene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_co_lod_,limit of detection of child Co levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_co_lod_birth,Limit of detection of newborn Co at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_co_raw_,child Co levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_co_raw_birth,Newborn Co birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_cotinine_lod_,limit of detection of child urine Cotinine levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,,,True,,0,,, +ATHLETE,chemicals_ath,c_cotinine_lod_birth,Limit of detection of newborn Cotinine at birth,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,,,False,,,,, +ATHLETE,chemicals_ath,c_cotinine_raw_,child urine Cotinine levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,,,True,,0,,, +ATHLETE,chemicals_ath,c_cotinine_raw_birth,Newborn Cotinine birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,,,False,,,,, +ATHLETE,chemicals_ath,c_creatinine_lod_,limit of detection of child urine Creatinine levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,g/L,,,,,,,Creatinine,,,True,,0,,, +ATHLETE,chemicals_ath,c_creatinine_lod_birth,Limit of detection of newborn Creatinine at birth,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,,,False,,,,, +ATHLETE,chemicals_ath,c_creatinine_raw_,child urine Creatinine levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,g/L,,,,,,,Creatinine,,,True,,0,,, +ATHLETE,chemicals_ath,c_cs_lod_,limit of detection of child Cs levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_cs_lod_birth,Limit of detection of newborn Cs at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_cs_raw_,child Cs levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_cs_raw_birth,Newborn Cs birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_cu_lod_,limit of detection of child Cu levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_cu_lod_birth,Limit of detection of newborn Cu at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_cu_raw_,child Cu levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_cu_raw_birth,Newborn Cu birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mehhp_raw_birth,Newborn MEHHP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_cxminp_lod_,limit of detection of child urine cxminp levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_cxminp_lod_birth,Limit of detection of newborn cxminp at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_cxminp_raw_,child urine cxminp levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_cxminp_raw_birth,Newborn cxminp birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_dde_lod_,limit of detection of child DDE levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_dde_lod_birth,Limit of detection of newborn DDE at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_dde_raw_,child DDE levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_dde_raw_birth,Newborn DDE birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_ddt_lod_,limit of detection of child DDT levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_ddt_lod_birth,Limit of detection of newborn DDT at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_ddt_raw_,child DDT levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_ddt_raw_birth,Newborn DDT birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_dedtp_lod_,limit of detection of child urine DEDTP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_dedtp_lod_birth,Limit of detection of newborn DEDTP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,c_dedtp_raw_,child urine DEDTP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_dedtp_raw_birth,Newborn DEDTP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,c_mchp_raw_birth,Newborn MCHP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_hg_raw_,child Hg levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_dep_lod_,limit of detection of child urine DEP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_dep_lod_birth,Limit of detection of newborn DEP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,c_dep_raw_,child urine DEP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_dep_raw_birth,Newborn DEP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,c_detp_lod_,limit of detection of child urine DETP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_detp_lod_birth,Limit of detection of newborn DETP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,c_detp_raw_,child urine DETP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_detp_raw_birth,Newborn DETP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,c_dmdtp_lod_,limit of detection of child urine DMDTP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_dmdtp_lod_birth,Limit of detection of newborn DMDTP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,c_dmdtp_raw_,child urine DMDTP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_dmdtp_raw_birth,Newborn DMDTP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,c_dmp_lod_,limit of detection of child urine DMP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_dmp_lod_birth,Limit of detection of newborn DMP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,c_dmp_raw_,child urine DMP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_dmp_raw_birth,Newborn DMP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,c_dmtp_lod_,limit of detection of child urine DMTP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_dmtp_lod_birth,Limit of detection of newborn DMTP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,c_dmtp_raw_,child urine DMTP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_eaa_lod_,limit of detection of child urine EAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,c_eaa_lod_birth,Limit of detection of newborn EAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,c_mep_raw_birth,Newborn MEP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_eaa_raw_,child urine EAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,c_eaa_raw_birth,Newborn EAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,c_eeaa_lod_,limit of detection of child urine EEAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,c_eeaa_lod_birth,Limit of detection of newborn EEAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,c_eeaa_raw_,child urine EEAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,c_eeaa_raw_birth,Newborn EEAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,c_etpa_lod_,limit of detection of child urine ETPA levels within # year of age (child was aged between # and < #+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_etpa_lod_birth,Limit of detection of newborn ETPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_cd_lod_birth,Limit of detection of maternal Cd at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_etpa_raw_,child urine ETPA levels within # year of age (child was aged between # and < #+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_fluorene_lod_,limit of detection of child urine Fluorene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_fluorene_lod_birth,Limit of detection of newborn Fluorene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_fluorene_raw_,child urine Fluorene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_fluorene_raw_birth,Newborn Fluorene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_hcb_lod_,limit of detection of child HCB levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_hcb_lod_birth,Limit of detection of newborn HCB at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_hcb_raw_,child HCB levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_hcb_raw_birth,Newborn HCB birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_hch_lod_,limit of detection of child HCH levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_hch_lod_birth,Limit of detection of newborn HCH at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_hch_raw_,child HCH levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_hch_raw_birth,Newborn HCH birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_hg_lod_,limit of detection of child Hg levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_hg_lod_birth,Limit of detection of newborn Hg at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_na_lod_birth,Limit of detection of newborn Na at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mchp_raw_,child urine MCHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_imazalil_lod_,limit of detection of child urine Imazalil levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,c_imazalil_lod_birth,Limit of detection of newborn Imazalil at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,c_imazalil_raw_,child urine Imazalil levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,c_imazalil_raw_birth,Newborn Imazalil birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,c_k_lod_,limit of detection of child K levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_k_lod_birth,Limit of detection of newborn K at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_dde_raw_birth,Maternal DDE birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_k_raw_,child K levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_k_raw_birth,Newborn K birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_maa_lod_,limit of detection of child urine MAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,c_maa_lod_birth,Limit of detection of newborn MAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,c_maa_raw_,child urine MAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,c_maa_raw_birth,Newborn MAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,c_mbzp_lod_,limit of detection of child urine MBzP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mbzp_lod_birth,Limit of detection of newborn MBzP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mbzp_raw_,child urine MBzP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mbzp_raw_birth,Newborn MBzP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mchp_lod_,limit of detection of child urine MCHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mchp_lod_birth,Limit of detection of newborn MCHP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_meaa_lod_,limit of detection of child urine MEAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,c_meaa_lod_birth,Limit of detection of newborn MEAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,c_meaa_raw_,child urine MEAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,c_meaa_raw_birth,Newborn MEAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,c_mecpp_lod_,limit of detection of child urine MECPP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mecpp_lod_birth,Limit of detection of newborn MECPP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mecpp_raw_,child urine MECPP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mecpp_raw_birth,Newborn MECPP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mehhp_lod_,limit of detection of child urine MEHHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mehhp_lod_birth,Limit of detection of newborn MEHHP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mehhp_raw_,child urine MEHHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mehp_lod_,limit of detection of child urine MEHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mehp_lod_birth,Limit of detection of newborn MEHP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mehp_raw_,child urine MEHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mehp_raw_birth,Newborn MEHP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_meohp_lod_,limit of detection of child urine MEOHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_meohp_lod_birth,Limit of detection of newborn MEOHP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_meohp_raw_,child urine MEOHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_meohp_raw_birth,Newborn MEOHP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mep_lod_,limit of detection of child urine MEP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mep_lod_birth,Limit of detection of newborn MEP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mep_raw_,child urine MEP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mepa_lod_,limit of detection of child urine ETPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_mepa_lod_birth,Limit of detection of newborn MEPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_mepa_raw_,child urine ETPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_mepa_raw_birth,Newborn MEPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_mg_lod_,limit of detection of child Mg levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mg_lod_birth,Limit of detection of newborn Mg at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mg_raw_,child Mg levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mg_raw_birth,Newborn Mg birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mhpp_lod_,limit of detection of child urine mHpP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mhpp_lod_birth,Limit of detection of newborn mHpP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mhpp_raw_,child urine mHpP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mhpp_raw_birth,Newborn mHpP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mn_raw_,child Mn levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mhxp_lod_,limit of detection of child urine mHxP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mhxp_lod_birth,Limit of detection of newborn mHxP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mhxp_raw_,child urine mHxP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mhxp_raw_birth,Newborn mHxP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mibp_lod_,limit of detection of child urine MiBP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mibp_lod_birth,Limit of detection of newborn MiBP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mibp_raw_,child urine MiBP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mibp_raw_birth,Newborn MiBP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mmchp_lod_,limit of detection of child urine MMCHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mmchp_lod_birth,Limit of detection of newborn MMCHP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mmchp_raw_,child urine MMCHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mmchp_raw_birth,Newborn MMCHP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mmp_lod_,limit of detection of child urine mMP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mmp_lod_birth,Limit of detection of newborn mMP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mmp_raw_,child urine mMP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mmp_raw_birth,Newborn mMP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mn_lod_,limit of detection of child Mn levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mn_lod_birth,Limit of detection of newborn Mn at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mn_raw_birth,Newborn Mn birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mnbp_lod_,limit of detection of child urine MnBP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mnbp_lod_birth,Limit of detection of newborn MnBP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mnbp_raw_,child urine MnBP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mnbp_raw_birth,Newborn MnBP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mnop_lod_,limit of detection of child urine MnOP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mnop_lod_birth,Limit of detection of newborn MnOP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mnop_raw_,child urine MnOP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mnop_raw_birth,Newborn MnOP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mnpep_lod_,limit of detection of child urine MnPeP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mnpep_lod_birth,Limit of detection of newborn MnPeP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mnpep_raw_,child urine MnPeP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mnpep_raw_birth,Newborn MnPeP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_mo_lod_,limit of detection of child Mo levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mo_lod_birth,Limit of detection of newborn Mo at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mo_raw_,child Mo levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_mo_raw_birth,Newborn Mo birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_pfda_raw_birth,Newborn PFDA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_na_lod_,limit of detection of child Na levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_na_raw_,child Na levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_na_raw_birth,Newborn Na birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_naphthalene_lod_birth,Limit of detection of newborn Naphthalene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_naphthalene_raw_birth,Newborn Naphthalene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_napthalene_lod_,limit of detection of child urine Napthalene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_napthalene_raw_,child urine Napthalene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_ohminch_lod_,limit of detection of child urine ohminch levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_ohminch_lod_birth,Limit of detection of newborn ohminch at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_pb_lod_birth,Limit of detection of newborn Pb at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_ohminch_raw_,child urine ohminch levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_ohminch_raw_birth,Newborn ohminch birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_ohminp_lod_,limit of detection of child urine ohminp levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_ohminp_lod_birth,Limit of detection of newborn ohminp at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_ohminp_raw_,child urine ohminp levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_ohminp_raw_birth,Newborn ohminp birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_ohmphp_lod_,limit of detection of child urine ohmphp levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_ohmphp_lod_birth,Limit of detection of newborn ohmphp at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_ohmphp_raw_,child urine ohmphp levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_ohmphp_raw_birth,Newborn ohmphp birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_oxbe_lod_,limit of detection of child urine OXBE levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_oxbe_lod_birth,Limit of detection of newborn OXBE at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_pfda_lod_birth,Limit of detection of newborn PFDA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_oxbe_raw_,child urine OXBE levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_oxbe_raw_birth,Newborn OXBE birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_oxominch_lod_,limit of detection of child urine oxominch levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_oxominch_lod_birth,Limit of detection of newborn oxominch at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_oxominch_raw_,child urine oxominch levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_oxominch_raw_birth,Newborn oxominch birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_oxominp_lod_,limit of detection of child urine oxo-MiNP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_oxominp_lod_birth,Limit of detection of newborn oxoMiNP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_oxominp_raw_,child urine oxo-MiNP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_oxominp_raw_birth,Newborn oxoMiNP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,c_pb_lod_,limit of detection of child Pb levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_pb_raw_,child Pb levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_pb_raw_birth,Newborn Pb birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_pbde153_lod_,limit of detection of child PBDE-153 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pbde153_lod_birth,Limit of detection of newborn PBDE-153 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pbde153_raw_,child PBDE-153 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pbde153_raw_birth,Newborn PBDE-153 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pcb170_raw_birth,Newborn PCB-170 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pbde47_lod_,limit of detection of child PBDE-47 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pbde47_lod_birth,Limit of detection of newborn PBDE-47 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pbde47_raw_,child PBDE-47 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pbde47_raw_birth,Newborn PBDE-47 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfda_raw_,child PFDA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pcb118_lod_,limit of detection of child PCB-118 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pcb118_lod_birth,Limit of detection of newborn PCB-118 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pcb118_raw_,child PCB-118 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pcb118_raw_birth,Newborn PCB-118 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pcb138_lod_,limit of detection of child PCB-138 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pcb138_lod_birth,Limit of detection of newborn PCB-138 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pcb138_raw_,child PCB-138 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pcb138_raw_birth,Newborn PCB-138 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pcb153_lod_,limit of detection of child PCB-153 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pcb153_lod_birth,Limit of detection of newborn PCB-153 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pcb153_raw_,child PCB-153 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pcb153_raw_birth,Newborn PCB-153 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_hch_raw_birth,Maternal HCH birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pcb170_lod_,limit of detection of child PCB-170 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pcb170_lod_birth,Limit of detection of newborn PCB-170 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pcb170_raw_,child PCB-170 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,cohort,Helix Cohort,,,1.1.0,,text,,,,,,,,Cohort id,,,False,,,,, +ATHLETE,chemicals_ath,c_pcb180_lod_,limit of detection of child PCB-180 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pcb180_lod_birth,Limit of detection of newborn PCB-180 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pcb180_raw_,child PCB-180 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pcb180_raw_birth,Newborn PCB-180 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfda_lod_,limit of detection of child PFDA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pfhps_lod_,limit of detection of child PFHpS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfhps_lod_birth,Limit of detection of newborn PFHpS at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfhps_raw_,child PFHpS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfhps_raw_birth,Newborn PFHpS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfhxs_lod_,limit of detection of child PFHxS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pfhxs_lod_birth,Limit of detection of newborn PFHxS at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,outcome_ath,adhdR_wave_,,,,,,integer,,,,,Which wave of ADHD diagnosis was recorded?,,,ADHD Registry diagnosis,,,False,,,,, +ATHLETE,chemicals_ath,c_pfhxs_raw_,child PFHxS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pfhxs_raw_birth,Newborn PFHxS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfna_lod_,limit of detection of child PFNA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pfna_lod_birth,Limit of detection of newborn PFNA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfna_raw_,child PFNA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pfoa_lod_,limit of detection of child PFOA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pfoa_lod_birth,Limit of detection of newborn PFOA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfoa_raw_,child PFOA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pfoa_raw_birth,Newborn PFOA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfos_lod_,limit of detection of child PFOS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pfos_lod_birth,Limit of detection of newborn PFOS at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfos_raw_,child PFOS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pfos_raw_birth,Newborn PFOS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfunda_lod_,limit of detection of child PFUnDA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pfunda_lod_birth,Limit of detection of newborn PFUnDA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_pfunda_raw_,child PFUnDA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pfunda_raw_birth,Newborn PFUnDA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,c_pyrethroids_lod_birth,Limit of detection of newborn Pyrethroids at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,c_phenanthrene_lod_,limit of detection of child urine Phenanthrene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_phenanthrene_lod_birth,Limit of detection of newborn Phenanthrene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_phenanthrene_raw_,child urine Phenanthrene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_phenanthrene_raw_birth,Newborn Phenanthrene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_phenoxyacetic_acid_lod_,limit of detection of child urine Phenoxyacetic acid levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,c_phenoxyacetic_acid_lod_birth,Limit of detection of newborn Phenoxyacetic acid at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,c_phenoxyacetic_acid_raw_,child urine Phenoxyacetic acid levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,c_phenoxyacetic_acid_raw_birth,Newborn Phenoxyacetic acid birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,c_prpa_lod_,limit of detection of child urine PRPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_zn_raw_t,Maternal Zn trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_prpa_lod_birth,Limit of detection of newborn PRPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_prpa_raw_,child urine PRPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_prpa_raw_birth,Newborn PRPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_pyrene_lod_,limit of detection of child urine Pyrene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_dep_raw_t,Maternal urine DEP trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,c_pyrene_lod_birth,Limit of detection of newborn Pyrene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_pyrene_raw_,child urine Pyrene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_pyrene_raw_birth,Newborn Pyrene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,c_pyrethroids_lod_,limit of detection of child urine Pyrethroids levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,outcome_ath,adhd_wave_,,,,,,integer,,,,,Which wave of adhd scale measurement was recorded?,,,ADHD symptoms,,,False,,,,, +ATHLETE,chemicals_ath,c_pyrethroids_raw_,child urine Pyrethroids levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,c_pyrethroids_raw_birth,Newborn Pyrethroids birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,c_se_lod_,limit of detection of child Se levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_se_lod_birth,Limit of detection of newborn Se at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_se_raw_,child Se levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_se_raw_birth,Newborn Se birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_tl_lod_,limit of detection of child Tl levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_tl_lod_birth,Limit of detection of newborn Tl at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_tl_raw_,child Tl levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_tl_raw_birth,Newborn Tl birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_trcs_lod_,limit of detection of child urine TRCS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_trcs_lod_birth,Limit of detection of newborn TRCS at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_trcs_raw_,child urine TRCS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_trcs_raw_birth,Newborn TRCS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,c_zn_lod_,limit of detection of child Zn levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_zn_lod_birth,Limit of detection of newborn Zn at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_zn_raw_,child Zn levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,c_zn_raw_birth,Newborn Zn birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_2mpa_lod_birth,Limit of detection of maternal 2_MPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_2mpa_lod_precon,Limit of detection of maternal 2_MPA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_2mpa_lod_preg,Limit of detection of maternal urine 2_MPA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_2mpa_lod_t,Limit of detection of maternal urine 2_MPA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,m_2mpa_raw_birth,Maternal 2_MPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_2mpa_raw_precon,Maternal 2_MPA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_2mpa_raw_preg,Maternal urine 2_MPA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_2mpa_raw_t,Maternal urine 2_MPA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,m_as_lod_birth,Limit of detection of maternal As at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_as_lod_precon,Limit of detection of maternal As at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_as_lod_t,Limit of detection of maternal As in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,outcome_ath,fetus_head_circum_t,Circumference of the head of the fetus in 2nd trimester,,,,,decimal,cm,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,chemicals_ath,m_as_raw_birth,Maternal As birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_as_raw_precon,Maternal As preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_as_raw_t,Maternal As trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_benzoapyrene_lod_birth,Limit of detection of maternal Benzo(a)pyrene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_benzoapyrene_lod_precon,Limit of detection of maternal Benzo(a)pyrene at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_benzoapyrene_lod_preg,Limit of detection of maternal urine Benzo(a)pyrene at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_benzoapyrene_lod_t,Limit of detection of maternal urine Benzo(a)pyrene in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_benzoapyrene_raw_birth,Maternal Benzo(a)pyrene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_benzoapyrene_raw_precon,Maternal Benzo(a)pyrene preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_benzoapyrene_raw_preg,Maternal urine Benzo(a)pyrene pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_benzoapyrene_raw_t,Maternal urine Benzo(a)pyrene trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_boscalid_lod_birth,Limit of detection of maternal Boscalid at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,outcome_ath,anR_wave_,,,,,,integer,,,,,Which wave of offspring anorexia nervosa diagnosis was recorded?,,,Behavioral problem domains,,,False,,,,, +ATHLETE,chemicals_ath,m_boscalid_lod_precon,Limit of detection of maternal Boscalid at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_boscalid_lod_preg,Limit of detection of maternal urine Boscalid at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_boscalid_lod_t,Limit of detection of maternal urine Boscalid in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_boscalid_raw_birth,Maternal Boscalid birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_boscalid_raw_precon,Maternal Boscalid preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_boscalid_raw_preg,Maternal urine Boscalid pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_boscalid_raw_t,Maternal urine Boscalid trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_cs_raw_birth,Maternal Cs birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_bpa_lod_birth,Limit of detection of maternal BPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bpa_lod_precon,Limit of detection of maternal BPA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bpa_lod_preg,Limit of detection of maternal urine BPA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bpa_lod_t,Limit of detection of maternal urine BPA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_bpa_raw_birth,Maternal BPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bpa_raw_precon,Maternal BPA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bpa_raw_preg,Maternal urine BPA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bpa_raw_t,Maternal urine BPA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_bpf_lod_birth,Limit of detection of maternal BPF at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bpf_lod_precon,Limit of detection of maternal BPF at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bpf_lod_preg,Limit of detection of maternal urine BPF at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bpf_lod_t,Limit of detection of maternal urine BPF in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_bpf_raw_birth,Maternal BPF birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bpf_raw_precon,Maternal BPF preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bpf_raw_preg,Maternal urine BPF pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bpf_raw_t,Maternal urine BPF trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_bps_lod_birth,Limit of detection of maternal BPS at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bps_lod_precon,Limit of detection of maternal BPS at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bps_lod_preg,Limit of detection of maternal urine BPS at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bps_lod_t,Limit of detection of maternal urine BPS in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_bps_raw_birth,Maternal BPS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bps_raw_precon,Maternal BPS preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bps_raw_preg,Maternal urine BPS pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bps_raw_t,Maternal urine BPS trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_bupa_lod_birth,Limit of detection of maternal BUPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bupa_lod_precon,Limit of detection of maternal BUPA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bupa_lod_preg,Limit of detection of maternal urine BUPA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bupa_lod_t,Limit of detection of maternal urine BUPA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_bupa_raw_birth,Maternal BUPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bupa_raw_precon,Maternal BUPA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_bupa_raw_preg,Maternal urine BUPA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_cd_lod_precon,Limit of detection of maternal Cd at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cd_lod_t,Limit of detection of maternal Cd in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cd_raw_birth,Maternal Cd birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cd_raw_precon,Maternal Cd preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cd_raw_t,Maternal Cd trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_chlorphyrifos_lod_birth,Limit of detection of maternal Chlorphyrifos at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_chlorphyrifos_lod_precon,Limit of detection of maternal Chlorphyrifos at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_chlorphyrifos_lod_preg,Limit of detection of maternal urine Chlorphyrifos at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_chlorphyrifos_lod_t,Limit of detection of maternal urine Chlorphyrifos in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,True,,0,,, +ATHLETE,chemicals_ath,m_chlorphyrifos_raw_birth,Maternal Chlorphyrifos birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_chlorphyrifos_raw_precon,Maternal Chlorphyrifos preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_chlorphyrifos_raw_preg,Maternal urine Chlorphyrifos pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_chlorphyrifos_raw_t,Maternal urine Chlorphyrifos trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,True,,0,,, +ATHLETE,chemicals_ath,m_chrysene_lod_birth,Limit of detection of maternal Chrysene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_chrysene_lod_precon,Limit of detection of maternal Chrysene at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_chrysene_lod_preg,Limit of detection of maternal urine Chrysene at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_chrysene_lod_t,Limit of detection of maternal urine Chrysene in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_chrysene_raw_birth,Maternal Chrysene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_chrysene_raw_precon,Maternal Chrysene preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_chrysene_raw_preg,Maternal urine Chrysene pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_co_lod_birth,Limit of detection of maternal Co at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_co_lod_precon,Limit of detection of maternal Co at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_co_lod_t,Limit of detection of maternal Co in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_co_raw_birth,Maternal Co birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_co_raw_precon,Maternal Co preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_co_raw_t,Maternal Co trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cotinine_lod_birth,Limit of detection of maternal Cotinine at birth,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,,,False,,,,, +ATHLETE,chemicals_ath,m_cotinine_lod_precon,Limit of detection of maternal Cotinine at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,,,False,,,,, +ATHLETE,chemicals_ath,m_cotinine_lod_preg,Limit of detection of maternal urine Cotinine at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,,,False,,,,, +ATHLETE,chemicals_ath,m_cotinine_lod_t,Limit of detection of maternal urine Cotinine in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,,,True,,0,,, +ATHLETE,chemicals_ath,m_cotinine_raw_birth,Maternal Cotinine birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,,,False,,,,, +ATHLETE,chemicals_ath,m_cotinine_raw_precon,Maternal Cotinine preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,,,False,,,,, +ATHLETE,chemicals_ath,m_cotinine_raw_preg,Maternal urine Cotinine pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,,,False,,,,, +ATHLETE,chemicals_ath,m_cotinine_raw_t,Maternal urine Cotinine trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,,,True,,0,,, +ATHLETE,chemicals_ath,m_creatinine_lod_birth,Limit of detection of maternal Creatinine at birth,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,,,False,,,,, +ATHLETE,chemicals_ath,m_creatinine_lod_precon,Limit of detection of maternal Creatinine at preconception,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,,,False,,,,, +ATHLETE,chemicals_ath,m_creatinine_lod_preg,Limit of detection of maternal urine Creatinine at pregnancy,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,,,False,,,,, +ATHLETE,chemicals_ath,m_creatinine_lod_t,Limit of detection of maternal urine Creatinine in trimester,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,,,True,,0,,, +ATHLETE,chemicals_ath,m_creatinine_raw_birth,Maternal Creatinine birth levels,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,,,False,,,,, +ATHLETE,chemicals_ath,m_creatinine_raw_precon,Maternal Creatinine preconception levels,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,,,False,,,,, +ATHLETE,chemicals_ath,m_creatinine_raw_preg,Maternal urine Creatinine pregnancy levels,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,,,False,,,,, +ATHLETE,chemicals_ath,m_creatinine_raw_t,Maternal urine Creatinine trimester levels,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,,,True,,0,,, +ATHLETE,chemicals_ath,m_cs_lod_birth,Limit of detection of maternal Cs at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cs_lod_precon,Limit of detection of maternal Cs at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cs_lod_t,Limit of detection of maternal Cs in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cs_raw_precon,Maternal Cs preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cs_raw_t,Maternal Cs trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cu_lod_birth,Limit of detection of maternal Cu at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,outcome_ath,fetus_weight_t,Estimated weight of the fetus in 2nd trimester,,,,,integer,gram,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,chemicals_ath,m_cu_lod_precon,Limit of detection of maternal Cu at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cu_lod_t,Limit of detection of maternal Cu in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cu_raw_birth,Maternal Cu birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cu_raw_precon,Maternal Cu preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cu_raw_t,Maternal Cu trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_cxminp_lod_birth,Limit of detection of maternal cx_MiNP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_cxminp_lod_precon,Limit of detection of maternal cx_MiNP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_cxminp_lod_preg,Limit of detection of maternal urine cx_MiNP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_cxminp_lod_t,Limit of detection of maternal urine cx_MiNP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_cxminp_raw_birth,Maternal cx_MiNP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_cxminp_raw_precon,Maternal cx_MiNP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_cxminp_raw_preg,Maternal urine cx_MiNP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_cxminp_raw_t,Maternal urine cx_MiNP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_dde_lod_birth,Limit of detection of maternal DDE at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_dde_lod_precon,Limit of detection of maternal DDE at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_dde_lod_t,Limit of detection of maternal DDE in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_dde_raw_precon,Maternal DDE preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_dde_raw_t,Maternal DDE trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_ddt_lod_birth,Limit of detection of maternal DDT at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_ddt_lod_precon,Limit of detection of maternal DDT at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_ddt_lod_t,Limit of detection of maternal DDT in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_ddt_raw_birth,Maternal DDT birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_ddt_raw_precon,Maternal DDT preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_ddt_raw_t,Maternal DDT trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_dedtp_lod_birth,Limit of detection of maternal DEDTP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dedtp_lod_precon,Limit of detection of maternal DEDTP at preconception,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dedtp_lod_preg,Limit of detection of maternal urine DEDTP at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dedtp_lod_t,Limit of detection of maternal urine DEDTP in trimester,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,m_dedtp_raw_birth,Maternal DEDTP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dedtp_raw_precon,Maternal DEDTP preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dedtp_raw_preg,Maternal urine DEDTP pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dedtp_raw_t,Maternal urine DEDTP trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,m_dep_lod_birth,Limit of detection of maternal DEP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dep_lod_precon,Limit of detection of maternal DEP at preconception,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dep_lod_preg,Limit of detection of maternal urine DEP at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dep_lod_t,Limit of detection of maternal urine DEP in trimester,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,m_dep_raw_birth,Maternal DEP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dep_raw_precon,Maternal DEP preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dep_raw_preg,Maternal urine DEP pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_detp_lod_birth,Limit of detection of maternal DETP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_detp_lod_precon,Limit of detection of maternal DETP at preconception,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_detp_lod_preg,Limit of detection of maternal urine DETP at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_detp_lod_t,Limit of detection of maternal urine DETP in trimester,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,m_detp_raw_birth,Maternal DETP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_detp_raw_precon,Maternal DETP preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_detp_raw_preg,Maternal urine DETP pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_detp_raw_t,Maternal urine DETP trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,m_dmdtp_lod_birth,Limit of detection of maternal DMDTP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmdtp_lod_precon,Limit of detection of maternal DMDTP at preconception,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmdtp_lod_preg,Limit of detection of maternal urine DMDTP at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmdtp_lod_t,Limit of detection of maternal urine DMDTP in trimester,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,outcome_ath,aggr_age_,,,,,,decimal,years,,,,"Exact age of the child (in years) when aggressive behavior was recorded for aggr_raw_0, aggr_raw_1, etc.",,,Externalizing problems,,,True,Trimester,0,3,, +ATHLETE,chemicals_ath,m_dmdtp_raw_birth,Maternal DMDTP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmdtp_raw_precon,Maternal DMDTP preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmdtp_raw_preg,Maternal urine DMDTP pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmdtp_raw_t,Maternal urine DMDTP trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,m_dmp_lod_birth,Limit of detection of maternal DMP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmp_lod_precon,Limit of detection of maternal DMP at preconception,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmp_lod_preg,Limit of detection of maternal urine DMP at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmp_lod_t,Limit of detection of maternal urine DMP in trimester,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,m_dmp_raw_birth,Maternal DMP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmp_raw_precon,Maternal DMP preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmp_raw_preg,Maternal urine DMP pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmp_raw_t,Maternal urine DMP trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,m_dmtp_lod_birth,Limit of detection of maternal DMTP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmtp_lod_precon,Limit of detection of maternal DMTP at preconception,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmtp_lod_preg,Limit of detection of maternal urine DMTP at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmtp_lod_t,Limit of detection of maternal urine DMTP in trimester,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,row_id,Unique identifer for the row in Opal,,,1.1.0,,integer,numeric,,,,,,,Identifiers,,,False,,,,, +ATHLETE,chemicals_ath,m_dmtp_raw_birth,Maternal DMTP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmtp_raw_precon,Maternal DMTP preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmtp_raw_preg,Maternal urine DMTP pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,False,,,,, +ATHLETE,chemicals_ath,m_dmtp_raw_t,Maternal urine DMTP trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,,,True,,0,,, +ATHLETE,chemicals_ath,m_eaa_lod_birth,Limit of detection of maternal EAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_eaa_lod_precon,Limit of detection of maternal EAA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_eaa_lod_preg,Limit of detection of maternal urine EAA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_eaa_lod_t,Limit of detection of maternal urine EAA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,m_eaa_raw_birth,Maternal EAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_eaa_raw_precon,Maternal EAA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_eaa_raw_preg,Maternal urine EAA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_eaa_raw_t,Maternal urine EAA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,m_k_raw_birth,Maternal K birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_eeaa_lod_birth,Limit of detection of maternal EEAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_eeaa_lod_precon,Limit of detection of maternal EEAA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_eeaa_lod_preg,Limit of detection of maternal urine EEAA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_eeaa_lod_t,Limit of detection of maternal urine EEAA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,m_eeaa_raw_birth,Maternal EEAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_eeaa_raw_precon,Maternal EEAA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_eeaa_raw_preg,Maternal urine EEAA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_eeaa_raw_t,Maternal urine EEAA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,m_etpa_lod_birth,Limit of detection of maternal ETPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_etpa_lod_precon,Limit of detection of maternal ETPA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_etpa_lod_preg,Limit of detection of maternal urine ETPA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_etpa_lod_t,Limit of detection of maternal urine ETPA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_etpa_raw_birth,Maternal ETPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,outcome_ath,aggr_avg_,,,,,,decimal,,,,,"Average of available items comprising the total raw score of aggr_raw_0, aggr_raw_1, etc.",,,Externalizing problems,,,True,Trimester,0,3,, +ATHLETE,chemicals_ath,m_etpa_raw_precon,Maternal ETPA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_etpa_raw_preg,Maternal urine ETPA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_etpa_raw_t,Maternal urine ETPA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_fluorene_lod_birth,Limit of detection of maternal Fluorene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_fluorene_lod_precon,Limit of detection of maternal Fluorene at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_fluorene_lod_preg,Limit of detection of maternal urine Fluorene at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_fluorene_lod_t,Limit of detection of maternal urine Fluorene in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_fluorene_raw_birth,Maternal Fluorene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_fluorene_raw_precon,Maternal Fluorene preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_fluorene_raw_preg,Maternal urine Fluorene pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_fluorene_raw_t,Maternal urine Fluorene trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_hcb_lod_birth,Limit of detection of maternal HCB at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_hcb_lod_precon,Limit of detection of maternal HCB at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_hcb_lod_t,Limit of detection of maternal HCB in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_hcb_raw_birth,Maternal HCB birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_hcb_raw_precon,Maternal HCB preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_hcb_raw_t,Maternal HCB trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_hch_lod_birth,Limit of detection of maternal HCH at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_hch_lod_precon,Limit of detection of maternal HCH at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_hch_lod_t,Limit of detection of maternal HCH in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_hch_raw_precon,Maternal HCH preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_hch_raw_t,Maternal HCH trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_hg_lod_birth,Limit of detection of maternal Hg at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_hg_lod_precon,Limit of detection of maternal Hg at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_hg_lod_t,Limit of detection of maternal Hg in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,True,Trimester,0,3,, +ATHLETE,chemicals_ath,m_hg_raw_birth,Maternal Hg birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_hg_raw_precon,Maternal Hg preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_hg_raw_t,Maternal Hg trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,True,Trimester,0,3,, +ATHLETE,chemicals_ath,m_mbzp_raw_precon,Maternal MBzP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_imazalil_lod_birth,Limit of detection of maternal Imazalil at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_imazalil_lod_precon,Limit of detection of maternal Imazalil at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_imazalil_lod_preg,Limit of detection of maternal urine Imazalil at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_imazalil_lod_t,Limit of detection of maternal urine Imazalil in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_imazalil_raw_birth,Maternal Imazalil birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_imazalil_raw_precon,Maternal Imazalil preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_imazalil_raw_preg,Maternal urine Imazalil pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_imazalil_raw_t,Maternal urine Imazalil trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_k_lod_birth,Limit of detection of maternal K at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_k_lod_precon,Limit of detection of maternal K at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_k_lod_t,Limit of detection of maternal K in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_k_raw_precon,Maternal K preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_k_raw_t,Maternal K trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_maa_lod_birth,Limit of detection of maternal MAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_maa_lod_precon,Limit of detection of maternal MAA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_maa_lod_preg,Limit of detection of maternal urine MAA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_maa_lod_t,Limit of detection of maternal urine MAA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,m_maa_raw_birth,Maternal MAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_maa_raw_precon,Maternal MAA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_maa_raw_preg,Maternal urine MAA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_maa_raw_t,Maternal urine MAA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,m_mbzp_lod_birth,Limit of detection of maternal MBzP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mbzp_lod_precon,Limit of detection of maternal MBzP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mbzp_lod_preg,Limit of detection of maternal urine MBzP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mbzp_lod_t,Limit of detection of maternal urine MBzP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mbzp_raw_birth,Maternal MBzP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mbzp_raw_preg,Maternal urine MBzP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mbzp_raw_t,Maternal urine MBzP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mecpp_raw_t,Maternal urine MECPP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mchp_lod_birth,Limit of detection of maternal MCHP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mchp_lod_precon,Limit of detection of maternal MCHP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mchp_lod_preg,Limit of detection of maternal urine MCHP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,outcome_ath,aggr_eval_,,,,,,categorical,,,,,"Who the test was administered/answered by for aggr_raw_0, aggr_raw_1, etc.",,,Externalizing problems,,,True,Trimester,0,3,, +ATHLETE,chemicals_ath,m_mchp_lod_t,Limit of detection of maternal urine MCHP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mchp_raw_birth,Maternal MCHP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mchp_raw_precon,Maternal MCHP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mchp_raw_preg,Maternal urine MCHP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mchp_raw_t,Maternal urine MCHP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_meaa_lod_birth,Limit of detection of maternal MEAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_mepa_raw_birth,Maternal MEPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_meaa_lod_precon,Limit of detection of maternal MEAA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_meaa_lod_preg,Limit of detection of maternal urine MEAA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_meaa_lod_t,Limit of detection of maternal urine MEAA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,m_meaa_raw_birth,Maternal MEAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_meaa_raw_precon,Maternal MEAA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_meaa_raw_preg,Maternal urine MEAA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_meaa_raw_t,Maternal urine MEAA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,m_mecpp_lod_birth,Limit of detection of maternal MECPP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mecpp_lod_precon,Limit of detection of maternal MECPP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mecpp_lod_preg,Limit of detection of maternal urine MECPP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mecpp_lod_t,Limit of detection of maternal urine MECPP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mecpp_raw_birth,Maternal MECPP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mecpp_raw_precon,Maternal MECPP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mecpp_raw_preg,Maternal urine MECPP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,outcome_ath,aggr_instr_,,,,,,categorical,,,,,"Cohort-specific instrument used to measure the aggressive behavior for aggr_raw_0, aggr_raw_1, etc.",,,Externalizing problems,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,bnR_,,,,,,binary,,,,,"Repeated measures of offspring bulimia nervosa diagnosis: +bnR_10: assessed between ≥ 10 years and < 11 years +…. +bnR_19: assessed between ≥ 19 years and < 20 years",,,Behavioral problem domains,,,False,,,,, +ATHLETE,chemicals_ath,m_mehhp_lod_birth,Limit of detection of maternal MEHHP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mehhp_lod_precon,Limit of detection of maternal MEHHP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mehhp_lod_preg,Limit of detection of maternal urine MEHHP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mehhp_lod_t,Limit of detection of maternal urine MEHHP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mehhp_raw_birth,Maternal MEHHP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mehhp_raw_precon,Maternal MEHHP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mehhp_raw_preg,Maternal urine MEHHP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mehhp_raw_t,Maternal urine MEHHP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mehp_lod_birth,Limit of detection of maternal MEHP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mehp_lod_precon,Limit of detection of maternal MEHP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mehp_lod_preg,Limit of detection of maternal urine MEHP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mehp_lod_t,Limit of detection of maternal urine MEHP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mehp_raw_birth,Maternal MEHP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mehp_raw_precon,Maternal MEHP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mehp_raw_preg,Maternal urine MEHP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mehp_raw_t,Maternal urine MEHP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_meohp_lod_birth,Limit of detection of maternal MEOHP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_meohp_lod_precon,Limit of detection of maternal MEOHP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_meohp_lod_preg,Limit of detection of maternal urine MEOHP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,outcome_ath,aggr_pc_,,,,,,decimal,,,,,"Aggressive behavior, percentiles of aggr_pro_0, aggr_pro_1, etc.",,,Externalizing problems,,,True,,0,,, +ATHLETE,chemicals_ath,m_meohp_lod_t,Limit of detection of maternal urine MEOHP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_meohp_raw_birth,Maternal MEOHP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_meohp_raw_precon,Maternal MEOHP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_meohp_raw_preg,Maternal urine MEOHP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_meohp_raw_t,Maternal urine MEOHP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mep_lod_birth,Limit of detection of maternal MEP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhpp_raw_preg,Maternal urine mHpP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mep_lod_precon,Limit of detection of maternal MEP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mep_lod_preg,Limit of detection of maternal urine MEP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mep_lod_t,Limit of detection of maternal urine MEP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mep_raw_birth,Maternal MEP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mep_raw_precon,Maternal MEP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mep_raw_preg,Maternal urine MEP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mep_raw_t,Maternal urine MEP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mepa_lod_birth,Limit of detection of maternal MEPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_mepa_lod_precon,Limit of detection of maternal MEPA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_mepa_lod_preg,Limit of detection of maternal urine MEPA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_mepa_lod_t,Limit of detection of maternal urine MEPA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_mepa_raw_precon,Maternal MEPA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_mepa_raw_preg,Maternal urine MEPA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_mepa_raw_t,Maternal urine MEPA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_mg_lod_birth,Limit of detection of maternal Mg at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mg_lod_precon,Limit of detection of maternal Mg at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mg_lod_t,Limit of detection of maternal Mg in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mg_raw_birth,Maternal Mg birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mg_raw_precon,Maternal Mg preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mg_raw_t,Maternal Mg trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mhpp_lod_birth,Limit of detection of maternal mHpP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhpp_lod_precon,Limit of detection of maternal mHpP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhpp_lod_preg,Limit of detection of maternal urine mHpP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhpp_lod_t,Limit of detection of maternal urine mHpP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhpp_raw_birth,Maternal mHpP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhpp_raw_precon,Maternal mHpP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhpp_raw_t,Maternal urine mHpP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhxp_lod_birth,Limit of detection of maternal mHxP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhxp_lod_precon,Limit of detection of maternal mHxP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhxp_lod_preg,Limit of detection of maternal urine mHxP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhxp_lod_t,Limit of detection of maternal urine mHxP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhxp_raw_birth,Maternal mHxP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhxp_raw_precon,Maternal mHxP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhxp_raw_preg,Maternal urine mHxP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mhxp_raw_t,Maternal urine mHxP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mibp_lod_birth,Limit of detection of maternal MiBP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mibp_lod_precon,Limit of detection of maternal MiBP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mibp_lod_preg,Limit of detection of maternal urine MiBP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mibp_lod_t,Limit of detection of maternal urine MiBP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mibp_raw_birth,Maternal MiBP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mibp_raw_precon,Maternal MiBP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mibp_raw_preg,Maternal urine MiBP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mibp_raw_t,Maternal urine MiBP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mmchp_lod_birth,Limit of detection of maternal MMCHP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmchp_lod_precon,Limit of detection of maternal MMCHP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmchp_lod_preg,Limit of detection of maternal urine MMCHP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmchp_lod_t,Limit of detection of maternal urine MMCHP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmchp_raw_birth,Maternal MMCHP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmchp_raw_precon,Maternal MMCHP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmchp_raw_preg,Maternal urine MMCHP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmchp_raw_t,Maternal urine MMCHP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmp_lod_birth,Limit of detection of maternal mMP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,outcome_ath,aggr_raw_,,,,,,decimal,,,,,"Repeated measures of aggressive behavior, total raw score: aggr_raw_0: assessed within one year of childbirth (>0 year and <1 year)",,,Externalizing problems,,,True,Trimester,0,3,, +ATHLETE,chemicals_ath,m_mmp_lod_precon,Limit of detection of maternal mMP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmp_lod_preg,Limit of detection of maternal urine mMP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnpep_raw_birth,Maternal MnPeP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,outcome_ath,aggr_pro_,,,,,,decimal,,,,,"Total aggressive behavior score after prorating aggr_raw_0, aggr_raw1, etc.",,,Externalizing problems,,,True,Trimester,0,3,, +ATHLETE,chemicals_ath,m_mmp_lod_t,Limit of detection of maternal urine mMP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmp_raw_birth,Maternal mMP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmp_raw_precon,Maternal mMP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmp_raw_preg,Maternal urine mMP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mmp_raw_t,Maternal urine mMP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mn_lod_birth,Limit of detection of maternal Mn at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mn_lod_precon,Limit of detection of maternal Mn at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mn_lod_t,Limit of detection of maternal Mn in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,outcome_ath,aggr_wave_,,,,,,integer,,,,,Which wave of aggressive behavior measurement was recorded?,,,Externalizing problems,,,False,,,,, +ATHLETE,chemicals_ath,m_mn_raw_birth,Maternal Mn birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mn_raw_precon,Maternal Mn preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mn_raw_t,Maternal Mn trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mnbp_lod_birth,Limit of detection of maternal MnBP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnbp_lod_precon,Limit of detection of maternal MnBP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnbp_lod_preg,Limit of detection of maternal urine MnBP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnbp_lod_t,Limit of detection of maternal urine MnBP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mnbp_raw_birth,Maternal MnBP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnbp_raw_precon,Maternal MnBP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnbp_raw_preg,Maternal urine MnBP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnbp_raw_t,Maternal urine MnBP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mnop_lod_birth,Limit of detection of maternal MnOP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnop_lod_precon,Limit of detection of maternal MnOP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnop_lod_preg,Limit of detection of maternal urine MnOP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,outcome_ath,att_hrt_raw_,,,,,,decimal,milliseconds,,,,"Repeated measures of attentional function, raw score of hit reaction time: att_hrt_raw_0: assessed within one year of childbirth (>0 year and <1 year) att_hrt_raw_1: assessed when the child was aged between ≥ 1 year and < 2 years … att_hrt_raw_17: assessed when the child was aged between ≥ 17 years and < 18 years",,,Cognitive functioning,,,False,,,,, +ATHLETE,chemicals_ath,m_mnop_lod_t,Limit of detection of maternal urine MnOP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mnop_raw_birth,Maternal MnOP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnop_raw_precon,Maternal MnOP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnop_raw_preg,Maternal urine MnOP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnop_raw_t,Maternal urine MnOP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mnpep_lod_birth,Limit of detection of maternal MnPeP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnpep_lod_precon,Limit of detection of maternal MnPeP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnpep_lod_preg,Limit of detection of maternal urine MnPeP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnpep_lod_t,Limit of detection of maternal urine MnPeP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mnpep_raw_precon,Maternal MnPeP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnpep_raw_preg,Maternal urine MnPeP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_mnpep_raw_t,Maternal urine MnPeP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_mo_lod_birth,Limit of detection of maternal Mo at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mo_lod_precon,Limit of detection of maternal Mo at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mo_lod_t,Limit of detection of maternal Mo in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mo_raw_birth,Maternal Mo birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mo_raw_precon,Maternal Mo preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_mo_raw_t,Maternal Mo trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_na_lod_birth,Limit of detection of maternal Na at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_na_lod_precon,Limit of detection of maternal Na at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_na_lod_t,Limit of detection of maternal Na in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_na_raw_birth,Maternal Na birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_na_raw_precon,Maternal Na preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_na_raw_t,Maternal Na trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_naphthalene_lod_birth,Limit of detection of maternal Naphthalene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,outcome_ath,att_hrt_std_,,,,,,decimal,milliseconds,,,,"Attentional function, standardized score of hit reaction time (i.e., att_hrt_raw_0, att_hrt_raw_1, etc.)",,,Cognitive functioning,,,False,,,,, +ATHLETE,chemicals_ath,m_naphthalene_lod_precon,Limit of detection of maternal Naphthalene at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_naphthalene_lod_preg,Limit of detection of maternal urine Naphthalene at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_naphthalene_lod_t,Limit of detection of maternal urine Naphthalene in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_naphthalene_raw_birth,Maternal Naphthalene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_naphthalene_raw_precon,Maternal Naphthalene preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_naphthalene_raw_preg,Maternal urine Naphthalene pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_naphthalene_raw_t,Maternal urine Naphthalene trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminch_lod_birth,Limit of detection of maternal oh_MiNCH at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminch_lod_precon,Limit of detection of maternal oh_MiNCH at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminch_lod_preg,Limit of detection of maternal urine oh_MiNCH at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminch_lod_t,Limit of detection of maternal urine oh_MiNCH in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_ohminch_raw_birth,Maternal oh_MiNCH birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminch_raw_precon,Maternal oh_MiNCH preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,outcome_ath,asdR_wave_,,,,,,integer,,,,,Which wave of ASD diagnosis was recorded?,,,ASD Registry diagnosis,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminch_raw_preg,Maternal urine oh_MiNCH pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminch_raw_t,Maternal urine oh_MiNCH trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_ohminp_lod_birth,Limit of detection of maternal oh_MiNP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminp_lod_precon,Limit of detection of maternal oh_MiNP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminp_lod_preg,Limit of detection of maternal urine oh_MiNP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminp_lod_t,Limit of detection of maternal urine oh_MiNP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_ohminp_raw_birth,Maternal oh_MiNP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminp_raw_precon,Maternal oh_MiNP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminp_raw_preg,Maternal urine oh_MiNP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohminp_raw_t,Maternal urine oh_MiNP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_ohmphp_lod_birth,Limit of detection of maternal oh_MPHP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohmphp_lod_precon,Limit of detection of maternal oh_MPHP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohmphp_lod_preg,Limit of detection of maternal urine oh_MPHP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohmphp_lod_t,Limit of detection of maternal urine oh_MPHP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_ohmphp_raw_birth,Maternal oh_MPHP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,outcome_ath,bnR_age_,,,,,,decimal,years,,,,"Exact age at bulimia nervosa onset for bnR_10, bnR_11, etc.",,,Behavioral problem domains,,,False,,,,, +ATHLETE,chemicals_ath,m_ohmphp_raw_precon,Maternal oh_MPHP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohmphp_raw_preg,Maternal urine oh_MPHP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_ohmphp_raw_t,Maternal urine oh_MPHP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_oxbe_lod_birth,Limit of detection of maternal OXBE at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_oxbe_lod_precon,Limit of detection of maternal OXBE at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_oxbe_lod_preg,Limit of detection of maternal urine OXBE at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_oxbe_lod_t,Limit of detection of maternal urine OXBE in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_oxbe_raw_birth,Maternal OXBE birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_oxbe_raw_precon,Maternal OXBE preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_oxbe_raw_preg,Maternal urine OXBE pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_oxbe_raw_t,Maternal urine OXBE trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_oxominch_lod_birth,Limit of detection of maternal oxo_MiNCH at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_oxominch_lod_precon,Limit of detection of maternal oxo_MiNCH at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_oxominch_lod_preg,Limit of detection of maternal urine oxo_MiNCH at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_oxominch_lod_t,Limit of detection of maternal urine oxo_MiNCH in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_oxominch_raw_birth,Maternal oxo_MiNCH birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_oxominch_raw_precon,Maternal oxo_MiNCH preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_oxominch_raw_preg,Maternal urine oxo_MiNCH pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_oxominch_raw_t,Maternal urine oxo_MiNCH trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_oxominp_lod_birth,Limit of detection of maternal oxo_MiNP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_oxominp_lod_precon,Limit of detection of maternal oxo_MiNP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_oxominp_lod_preg,Limit of detection of maternal urine oxo_MiNP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_oxominp_lod_t,Limit of detection of maternal urine oxo_MiNP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_oxominp_raw_birth,Maternal oxo_MiNP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_oxominp_raw_precon,Maternal oxo_MiNP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,chemicals_ath,m_oxominp_raw_preg,Maternal urine oxo_MiNP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,False,,,,, +ATHLETE,outcome_ath,bnR_eval_,,,,,,binary,,,,,"How was the bulimia nervosa medical diagnosis reported for bnR_10, bnR_11, etc assessed.",,,Behavioral problem domains,,,False,,,,, +ATHLETE,chemicals_ath,m_oxominp_raw_t,Maternal urine oxo_MiNP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,,,True,,0,,, +ATHLETE,chemicals_ath,m_pb_lod_birth,Limit of detection of maternal Pb at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_pb_lod_precon,Limit of detection of maternal Pb at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_pb_lod_t,Limit of detection of maternal Pb in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_pb_raw_birth,Maternal Pb birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_pb_raw_precon,Maternal Pb preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_pb_raw_t,Maternal Pb trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_pbde153_lod_birth,Limit of detection of maternal PBDE_153 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pbde153_lod_precon,Limit of detection of maternal PBDE_153 at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,outcome_ath,asd_wave_,,,,,,integer,,,,,Which wave of ASD measurement was recorded?,,,ASD Registry diagnosis,,,False,,,,, +ATHLETE,chemicals_ath,m_pbde153_lod_t,Limit of detection of maternal PBDE_153 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pbde153_raw_birth,Maternal PBDE_153 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pbde153_raw_precon,Maternal PBDE_153 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pbde153_raw_t,Maternal PBDE_153 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pbde47_lod_birth,Limit of detection of maternal PBDE_47 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pbde47_lod_precon,Limit of detection of maternal PBDE_47 in preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pbde47_lod_t,Limit of detection of maternal PBDE_47 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pbde47_raw_birth,Maternal PBDE_47 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pbde47_raw_precon,Maternal PBDE_47 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pbde47_raw_t,Maternal PBDE_47 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb118_lod_birth,Limit of detection of maternal PCB_118 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb118_lod_precon,Limit of detection of maternal PCB_118 at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb118_lod_t,Limit of detection of maternal PCB_118 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb118_raw_birth,Maternal PCB_118 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb118_raw_precon,Maternal PCB_118 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb118_raw_t,Maternal PCB_118 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb138_lod_birth,Limit of detection of maternal PCB_138 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb138_lod_precon,Limit of detection of maternal PCB_138 at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb138_lod_t,Limit of detection of maternal PCB_138 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb138_raw_birth,Maternal PCB_138 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb138_raw_precon,Maternal PCB_138 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb138_raw_t,Maternal PCB_138 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb153_lod_birth,Limit of detection of maternal PCB_153 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb153_lod_precon,Limit of detection of maternal PCB_153 at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb153_lod_t,Limit of detection of maternal PCB_153 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb153_raw_birth,Maternal PCB_153 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb153_raw_precon,Maternal PCB_153 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb153_raw_t,Maternal PCB_153 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb170_lod_birth,Limit of detection of maternal PCB_170 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb170_lod_precon,Limit of detection of maternal PCB_170 at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb170_lod_t,Limit of detection of maternal PCB_170 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb170_raw_birth,Maternal PCB_170 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb170_raw_precon,Maternal PCB_170 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb170_raw_t,Maternal PCB_170 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb180_lod_birth,Limit of detection of maternal PCB_180 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb180_lod_precon,Limit of detection of maternal PCB_180 at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,outcome_ath,att_hrtse_pc_,,,,,,decimal,,,,,"Attentional function, percentiles of standard error of hit reaction time (i.e., att_hrtse_raw_0, att_hrtse_raw_1, etc.)",,,Cognitive functioning,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb180_lod_t,Limit of detection of maternal PCB_180 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb180_raw_birth,Maternal PCB_180 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb180_raw_precon,Maternal PCB_180 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pcb180_raw_t,Maternal PCB_180 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfda_lod_birth,Limit of detection of maternal PFDA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfda_lod_precon,Limit of detection of maternal PFDA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfda_lod_t,Limit of detection of maternal PFDA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,outcome_ath,bnR_wave_,,,,,,integer,,,,,Which wave of bulimia nervosa diagnosis was recorded?,,,Behavioral problem domains,,,False,,,,, +ATHLETE,chemicals_ath,m_pfda_raw_birth,Maternal PFDA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfda_raw_precon,Maternal PFDA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfda_raw_t,Maternal PFDA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfhps_lod_birth,Limit of detection of maternal PFHpS at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfhps_lod_precon,Limit of detection of maternal PFHpS at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfhps_lod_t,Limit of detection of maternal PFHpS in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfhps_raw_birth,Maternal PFHpS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfhps_raw_precon,Maternal PFHpS preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfhps_raw_t,Maternal PFHpS trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfhxs_lod_birth,Limit of detection of maternal PFHxS at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfhxs_lod_precon,Limit of detection of maternal PFHxS at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfhxs_lod_t,Limit of detection of maternal PFHxS in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfhxs_raw_birth,Maternal PFHxS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfhxs_raw_precon,Maternal PFHxS preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfhxs_raw_t,Maternal PFHxS trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfna_lod_birth,Limit of detection of maternal PFNA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfna_lod_precon,Limit of detection of maternal PFNA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfna_lod_t,Limit of detection of maternal PFNA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfna_raw_birth,Maternal PFNA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfna_raw_precon,Maternal PFNA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfna_raw_t,Maternal PFNA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfoa_lod_birth,Limit of detection of maternal PFOA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfoa_lod_precon,Limit of detection of maternal PFOA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfoa_lod_t,Limit of detection of maternal PFOA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfoa_raw_birth,Maternal PFOA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfoa_raw_precon,Maternal PFOA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfoa_raw_t,Maternal PFOA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfos_lod_birth,Limit of detection of maternal PFOS at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfos_lod_precon,Limit of detection of maternal PFOS at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfos_lod_t,Limit of detection of maternal PFOS in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfos_raw_birth,Maternal PFOS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfos_raw_precon,Maternal PFOS preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfos_raw_t,Maternal PFOS trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfunda_lod_birth,Limit of detection of maternal PFUnDA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfunda_lod_precon,Limit of detection of maternal PFUnDA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfunda_lod_t,Limit of detection of maternal PFUnDA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfunda_raw_birth,Maternal PFUnDA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfunda_raw_precon,Maternal PFUnDA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_pfunda_raw_t,Maternal PFUnDA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,,,False,,,,, +ATHLETE,chemicals_ath,m_phenanthrene_lod_birth,Limit of detection of maternal Phenanthrene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_phenanthrene_lod_precon,Limit of detection of maternal Phenanthrene at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_phenanthrene_lod_preg,Limit of detection of maternal urine Phenanthrene at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_phenanthrene_lod_t,Limit of detection of maternal urine Phenanthrene in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_phenanthrene_raw_birth,Maternal Phenanthrene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_phenanthrene_raw_precon,Maternal Phenanthrene preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_phenanthrene_raw_preg,Maternal urine Phenanthrene pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_phenanthrene_raw_t,Maternal urine Phenanthrene trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_phenoxyacetic_acid_lod_birth,Limit of detection of maternal Phenoxyacetic acid at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_phenoxyacetic_acid_lod_precon,Limit of detection of maternal Phenoxyacetic acid at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_phenoxyacetic_acid_lod_preg,Limit of detection of maternal urine Phenoxyacetic acid at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_phenoxyacetic_acid_lod_t,Limit of detection of maternal urine Phenoxyacetic acid in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,m_phenoxyacetic_acid_raw_birth,Maternal Phenoxyacetic acid birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_phenoxyacetic_acid_raw_precon,Maternal Phenoxyacetic acid preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_phenoxyacetic_acid_raw_preg,Maternal urine Phenoxyacetic acid pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,False,,,,, +ATHLETE,chemicals_ath,m_phenoxyacetic_acid_raw_t,Maternal urine Phenoxyacetic acid trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,,,True,,0,,, +ATHLETE,chemicals_ath,m_prpa_lod_birth,Limit of detection of maternal PRPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_prpa_lod_precon,Limit of detection of maternal PRPA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_prpa_lod_preg,Limit of detection of maternal urine PRPA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_prpa_lod_t,Limit of detection of maternal urine PRPA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,outcome_ath,edR_wave_,,,,,,integer,,,,,Which wave of offspring eating disorder diagnosis was recorded?,,,Behavioral problem domains,,,False,,,,, +ATHLETE,chemicals_ath,m_prpa_raw_birth,Maternal PRPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_prpa_raw_precon,Maternal PRPA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_prpa_raw_preg,Maternal urine PRPA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_prpa_raw_t,Maternal urine PRPA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_pyrene_lod_birth,Limit of detection of maternal Pyrene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrene_lod_precon,Limit of detection of maternal Pyrene at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrene_lod_preg,Limit of detection of maternal urine Pyrene at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrene_lod_t,Limit of detection of maternal urine Pyrene in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrene_raw_birth,Maternal Pyrene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrene_raw_precon,Maternal Pyrene preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrene_raw_preg,Maternal urine Pyrene pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrene_raw_t,Maternal urine Pyrene trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrethroids_lod_birth,Limit of detection of maternal Pyrethroids at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrethroids_lod_precon,Limit of detection of maternal Pyrethroids at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrethroids_lod_preg,Limit of detection of maternal urine Pyrethroids at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrethroids_lod_t,Limit of detection of maternal urine Pyrethroids in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrethroids_raw_birth,Maternal Pyrethroids birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrethroids_raw_precon,Maternal Pyrethroids preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrethroids_raw_preg,Maternal urine Pyrethroids pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_pyrethroids_raw_t,Maternal urine Pyrethroids trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,,,False,,,,, +ATHLETE,chemicals_ath,m_se_lod_birth,Limit of detection of maternal Se at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_se_lod_precon,Limit of detection of maternal Se at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_se_lod_t,Limit of detection of maternal Se in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_se_raw_birth,Maternal Se birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,outcome_ath,ext_wave_,,,,,,integer,,,,,Which wave of externalizing symptoms measurement was recorded?,,,Externalizing problems,,,False,,,,, +ATHLETE,chemicals_ath,m_se_raw_precon,Maternal Se preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_se_raw_t,Maternal Se trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_tl_lod_birth,Limit of detection of maternal Tl at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_tl_lod_precon,Limit of detection of maternal Tl at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_tl_lod_t,Limit of detection of maternal Tl in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_tl_raw_birth,Maternal Tl birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_tl_raw_precon,Maternal Tl preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_tl_raw_t,Maternal Tl trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_trcs_lod_birth,Limit of detection of maternal TRCS at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,outcome_ath,att_hrtse_raw_,,,,,,decimal,milliseconds,,,,"Repeated measures of attentional function, raw score of standard error of hit reaction time: att_hrtse_raw_0: assessed within one year of childbirth (>0 year and <1 year) att_hrtse_raw_1: assessed when the child was aged between ≥ 1 year and < 2 years … att_hrtse_raw_17: assessed when the child was aged between ≥ 17 years and < 18 years",,,Cognitive functioning,,,False,,,,, +ATHLETE,chemicals_ath,m_trcs_lod_precon,Limit of detection of maternal TRCS at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_trcs_lod_preg,Limit of detection of maternal urine TRCS at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_trcs_lod_t,Limit of detection of maternal urine TRCS in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_trcs_raw_birth,Maternal TRCS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_trcs_raw_precon,Maternal TRCS preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_trcs_raw_preg,Maternal urine TRCS pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,False,,,,, +ATHLETE,chemicals_ath,m_trcs_raw_t,Maternal urine TRCS trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,,,True,,0,,, +ATHLETE,chemicals_ath,m_zn_lod_birth,Limit of detection of maternal Zn at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_zn_lod_precon,Limit of detection of maternal Zn at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_zn_lod_t,Limit of detection of maternal Zn in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_zn_raw_birth,Maternal Zn birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,chemicals_ath,m_zn_raw_precon,Maternal Zn preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,,,False,,,,, +ATHLETE,outcome_ath,CRL_t,Crown-rump length in 1st trimester,,,,,decimal,cm,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,abd_circum_sdsWHOEUR_t,Gestational age- and sex-adjusted abdominal circumference SDS  in 2nd trimester based on European WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,abd_circum_sdsWHO_t,Gestational age-adjusted abdominal circumference SDS  in 2nd trimester based on overall WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,alt_,Repeated measures of child’s alanine aminotrasferase concentrations,,,,,continuous,unit per liter,,,,Repeated measures of child’s alanine aminotrasferase concentrations: alt_0: assessed within one year of childbirth (>0 year and <1 year) alt_1: assessed when the child was aged between ≥ 1 year and < 2 years … alt_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,,,False,,,,, +ATHLETE,outcome_ath,anR_,,,,,,binary,,,,,"Repeated measures of offspring anorexia nervosa diagnosis: +anR_10: assessed between ≥ 10 years and < 11 years +…. +anR_19: assessed between ≥ 19 years and < 20 years",,,Behavioral problem domains,,,False,,,,, +ATHLETE,outcome_ath,anR_age_,,,,,,decimal,years,,,,"Exact age at anorexia nervosa onset for anR_10, anR_11, etc.",,,Behavioral problem domains,,,False,,,,, +ATHLETE,outcome_ath,anR_eval_,,,,,,binary,,,,,"How was the anorexia nervosa medical diagnosis reported for anR_10, anR_11, etc assessed.",,,Behavioral problem domains,,,False,,,,, +ATHLETE,outcome_ath,ast_,Repeated measures of child’s aspartate aminotrasferase concentrations,,,,,continuous,unit per liter,,,,Repeated measures of child’s aspartate aminotrasferase concentrations: ast_0: assessed within one year of childbirth (>0 year and <1 year) ast_1: assessed when the child was aged between ≥ 1 year and < 2 years … ast_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,,,False,,,,, +ATHLETE,outcome_ath,att_age_,,,,,,decimal,years,,,,"Exact age of the child (in years) when attentional function was recorded for att_raw_0, att_raw_1, etc.",,,Cognitive functioning,,,True,,0,,, +ATHLETE,outcome_ath,att_com_pc_,,,,,,decimal,,,,,"Attentional function, percentiles of number of commissions (i.e., att_com_raw_0, att_com_raw_1, etc.)",,,Cognitive functioning,,,True,,0,,, +ATHLETE,outcome_ath,att_com_raw_,,,,,,decimal,,,,,"Repeated measures of attentional function, raw score of number of commissions: att_com_raw_0: assessed within one year of childbirth (>0 year and <1 year) att_com_raw_1: assessed when the child was aged between ≥ 1 year and < 2 years … att_com_raw_17: assessed when the child was aged between ≥ 17 years and < 18 years",,,Cognitive functioning,,,True,,0,,, +ATHLETE,outcome_ath,att_com_std_,,,,,,decimal,,,,,"Attentional function, standardized score of number of commissions (i.e., att_com_raw_0, att_com_raw_1, etc.)",,,Cognitive functioning,,,True,,0,,, +ATHLETE,outcome_ath,att_eval_,,,,,,categorical,,,,,"Who the attentional function test was administered/answered by for att_raw_0, att_raw_1, etc.",,,Cognitive functioning,,,True,,0,,, +ATHLETE,outcome_ath,att_hrt_pc_,,,,,,decimal,,,,,"Attentional function, percentiles of hit reaction time (i.e., att_hrt_raw_0, att_hrt_raw_1, etc.)",,,Cognitive functioning,,,False,,,,, +ATHLETE,outcome_ath,biparietal_diam_sdsWHO_t,Gestational age-adjusted biparietal diameter SDS  in 2nd trimester based on overall WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,avr_,Repeated measures of child‘s arteriole-to-venule ratio (AVR) (mean value from right and left fundus),,,,,continuous,,,,,Repeated measures of child‘s arteriole-to-venule ratio (AVR) (mean value from right and left fundus): rmcavr_0 assessed within one year of childbirth (>0 year and <1 year) rmcavr_1: assessed when the child was aged between ≥ 1 year and < 2 years … rmcavr_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,,,False,,,,, +ATHLETE,outcome_ath,bedR_,,,,,,binary,,,,,"Repeated measures of offspring binge eating disorder diagnosis: +bedR_10: assessed between ≥ 10 years and < 11 years +…. +bedR_19: assessed between ≥ 19 years and < 20 years",,,Behavioral problem domains,,,False,,,,, +ATHLETE,outcome_ath,bedR_age_,,,,,,decimal,years,,,,"Exact age at binge eating disorder onset for bedR_10, bedR_11, etc.",,,Behavioral problem domains,,,False,,,,, +ATHLETE,outcome_ath,biparietal_diam_sdsWHOEUR_t,Gestational age- and sex-adjusted biparietal diameter SDS  in 2nd trimester based on European WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,ck18_,Repeated measures of child’s Cytokeratin-18 concentrations: ck18_0,,,,,continuous,unit per liter,,,,Repeated measures of child’s Cytokeratin-18 concentrations: ck18_0: assessed within one year of childbirth (>0 year and <1 year) ck18_1: assessed when the child was aged between ≥ 1 year and < 2 years … ck18_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,,,False,,,,, +ATHLETE,outcome_ath,crae_,Repeated measures of child‘s central retinal arterial equivalent (CRAE) (mean value from right and left fundus),,,,,continuous,micrometer,,,,Repeated measures of child‘s central retinal arterial equivalent (CRAE) (mean value from right and left fundus): rmccrae_0: assessed within one year of childbirth (>0 year and <1 year) rmccrae_1: assessed when the child was aged between ≥ 1 year and < 2 years … rmccrae_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,,,False,,,,, +ATHLETE,outcome_ath,crve_,Repeated measures of child‘s central retinal venular equivalent (CRVE) (mean value from right and left fundus),,,,,continuous,micrometer,,,,Repeated measures of child‘s central retinal venular equivalent (CRVE) (mean value from right and left fundus): rmccrve_0: assessed within one year of childbirth (>0 year and <1 year) rmccrve_1: assessed when the child was aged between ≥ 1 year and < 2 years … rmccrve_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,,,False,,,,, +ATHLETE,outcome_ath,cvd_risk_score_,Continuous pediatric CVD score combining three MetS components (not including the HOMA-IR/glucose component) based on the IDEFICS z-scores,,,,,continuous,,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,dbp_idefics_perc_,Repeated DBP percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,edR_,,,,,,binary,,,,,"Repeated measures of offspring eating disorder diagnosis: +edR_10: assessed between ≥ 10 years and < 11 years +…. +edR_19: assessed between ≥ 19 years and < 20 years",,,Behavioral problem domains,,,False,,,,, +ATHLETE,outcome_ath,edR_age_,,,,,,decimal,years,,,,"Exact age at eating disorder onset for edR_10, edR_11, etc.",,,Behavioral problem domains,,,False,,,,, +ATHLETE,outcome_ath,edR_eval_,,,,,,binary,,,,,"How was the eating disorder medical diagnosis reported for edR_10, edR_11, etc assessed.",,,Behavioral problem domains,,,False,,,,, +ATHLETE,outcome_ath,femur_length_sdsWHOEUR_t,Gestational age- and sex-adjusted femur length SDS  in 2nd trimester based on European WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,femur_length_sdsWHO_t,Gestational age-adjusted femur length SDS  in 2nd trimester based on overall WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,fetus_abd_circum_t,Abdominal circumference of the fetus in 2nd trimester,,,,,decimal,cm,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,fetus_biparietal_diam_t,Biparietal diameter of the fetus in 1st trimester,,,,,decimal,cm,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,fetus_femur_length_t,Femur length of the fetus in 2nd trimester,,,,,decimal,cm,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,fetus_femur_length_t2 ,Femur length of the fetus in 2nd trimester,,,,,decimal,cm,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,fm_wave_,,,,,,integer,,,,,Which wave of fine motor measurement was recorded?,,,Fine motor,,,False,,,,, +ATHLETE,outcome_ath,ga_us_t,Gestational age when ultrasound in 1st trimester was performed,,,,,integer,days,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,int_wave_,,,,,,integer,,,,,Which wave of internalizing symptoms measurement was recorded?,,,Internalizing problems,,,False,,,,, +ATHLETE,outcome_ath,lan_wave_,,,,,,integer,,,,,Which wave of language measurement was recorded?,,,Language (cognition),,,False,,,,, +ATHLETE,outcome_ath,mrihff_,Repeated measures of child’s mean hepatic fat-fraction  measured using MRI,,,,,continuous,%,,,,Repeated measures of child’s mean hepatic fat-fraction  measured using MRI: mrihff_0: assessed within one year of childbirth (>0 year and <1 year) mrihff_1: assessed when the child was aged between ≥ 1 year and < 2 years … mrihff_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,,,False,,,,, +ATHLETE,outcome_ath,mrivafm_,Repeated measures of child‘s visceral abdominal fat mass measured using MRI,,,,,continuous,gram,,,,Repeated measures of child‘s visceral abdominal fat mass measured using MRI: mrivafm_0: assessed within one year of childbirth (>0 year and <1 year) mrivafm_1: assessed when the child was aged between ≥ 1 year and < 2 years … mrivafm_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,,,False,,,,, +ATHLETE,outcome_ath,n_wheezing_12m_,Number of wheezing attacks in the past 12 months,,,,,categorical,,,,,"Number of wheezing attacks in the past 12 months, when the child was aged 0-1 year / 1-2 years / … /17-18 years",,,,,,True,,0,,, +ATHLETE,outcome_ath,nvi_wave_,,,,,,integer,,,,,Which wave of non-verbal intelligence measurement was recorded?,,,Non-verbal intelligence,,,False,,,,, +ATHLETE,outcome_ath,pi_uma_t,Pulsatility index umbilical artery in 2nd trimester,,,,,decimal,,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,pi_uta_t,Pulsatility index uterine artery in 2nd trimester,,,,,decimal,,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,rhinitis_,Hay fever / rhinitis ever,,,,,binary,,,,,"Hay fever / rhinitis ever, reported at 0-1 yr / 1-2 yrs / …/17-18 years",,,,,,True,,0,,, +ATHLETE,outcome_ath,rhinitis_sx_12m_,"Problem with sneezing, or a runny, or blocked nose",,,,,binary,,,,,"Problem with sneezing, or a runny, or blocked nose when the child DID NOT have a cold or the flu, in the past 12 months, and was aged 0-1 year / 1-2 years / … /17-18 years",,,,,,True,,0,,, +ATHLETE,outcome_ath,rhinitis_sx_ever_,"Ever (lifetime) problem with sneezing, or a runny, or blocked nose",,,,,binary,,,,,"Ever (lifetime) problem with sneezing, or a runny, or blocked nose when the child DID NOT have a cold or the flu and was aged 0-1 year / 1-2 years / … /17-18 years",,,,,,True,,0,,, +ATHLETE,outcome_ath,rhinitis_ttt_12m_,Child intake of medicines against nasal allergy/hay fever/allergic rhinitis,,,,,binary,,,,,"Did your child take any medicines against nasal allergy/hay fever/allergic rhinitis, when the child was aged 0-1 year / 1-2 years / … /17-18 years",,,,,,False,,,,, +ATHLETE,outcome_ath,rmc_age_,"Exact age of the child (in years) when arteriole-to-venule ratio (AVR) vas measured for rmcavr_0, rmcavr_1, etc.",,,,,continuous,years,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,rmcmes_,"Method used to measure retinal microcirculation parameters (i.e. CRAE, CRVE, and AVR) for each measurement (e.g. rmcrve_0, rmcrve_1, rmcrve_2 etc.)",,,,,categorical,,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,sbp_idefics_perc_,Repeated SBP percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,tortuosity_,Repeated measures of child‘s tortuosity index (mean value from right and left fundus),,,,,continuous,,,,,Repeated measures of child‘s tortuosity index (mean value from right and left fundus): rmcavr_0 assessed within one year of childbirth (>0 year and <1 year) rmcavr_1: assessed when the child was aged between ≥ 1 year and < 2 years … rmcavr_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,,,False,,,,, +ATHLETE,outcome_ath,triglyceride_idefics_perc_,Repeated triglycerides percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,wc_idefics_perc_,Repeated WC percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,weight_sdsWHOEUR_t,Gestational age- and sex- adjusted estimated fetal weight SDS  in 2nd trimester based on European WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,weight_sdsWHO_t,Gestational age- and sex- adjusted estimated fetal weight SDS  in 2nd trimester based on overall WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,,,True,Trimester,0,3,, +ATHLETE,outcome_ath,wm_wave_,,,,,,integer,,,,,Which wave of working memory measurement was recorded?,,,Working memory,,,False,,,,, +ATHLETE,outcome_ath,z_bmi_,Repeated measures of child's BMI z-score calculated using the World Health Organization (WHO) reference curves,,,,,continuous,,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,z_height_,Repeated measures of child's height z-score calculated using the World Health Organization (WHO) reference curves,,,,,continuous,,,,,,,,,,,False,,,,, +ATHLETE,outcome_ath,z_weight_,Repeated measures of child's weight z-score calculated using the World Health Organization (WHO) reference curves,,,,,continuous,,,,,,,,,,,False,,,,, +testNetwork1,cdm_1,testVarLang,test variable with keyword language,,,,,integer,,,,,,,,Language,,,False,,,,, +testNetwork1,cdm_1,testVarLang3Vir,test variable with keywords Language and Virology,,,,,integer,,,,,,,,"Language,Virology",,,False,,,,, +testNetwork1,cdm_1,testVarVir,test variable with keyword Virology,,,,,integer,,,,,,,,Virology,,,False,,,,, +testNetwork1,cdm_1,testVarRepeats_,test variable with repeats,,,,,continuous,pmol/L,,,,,,,ADHD symptoms,,,True,Trimester,0,3,, +testNetwork1,cdm_1,testVarRep-with-looong-name_,"test variable with repeats, a long name to test bubble split over 2 lines, and no keywords or mappings",,,,,integer,,,,,,,,,,,True,Trimester,0,3,, +testNetwork1,cdm_1,testVarCategorical_,categorical test variable,,,,,categorical,,,,,,,,Language,,,True,,0,,, +testNetwork1,cdm_1,testVarNoRepeats,test variable without repeats,,,,,integer,,,,,,,,"ADHD symptoms,Language",,,False,,,,, +PELAGIE,harmonized,lan_instr_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +OOM,EUROCAT,genrem,,,,2.2,,,,,,false,General additional comments.,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,gentest,,,,2.2,,,,,,false,"GENETIC TEST +For syndromes and single gene disorders, a genetic test may have confirmed the clinical diagnosis either prenatally or postnatally. Please complete for these cases. Karyotype should still be completed as per variables 24 & 25 + +Whilst GENETIC TEST is a new variable in Guide 1.4 (for cases born from 2013 onwards) if any registry has this information for previous cases, EUROCAT is interested in collecting this information from 2005 onwards + +If the test is performed but the result not yet known, please wait for the result before reporting",,"1 = specific genetic test positive +2 = specific genetic test negative +3 = Specific genetic test not Performed +9 = Not Known if genetic test is performed or result not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +OOM,EUROCAT,hba1c,,,,2.2,,,,,,false,"GLYCATED HAEMOGLOBIN (HbA1c) VALUE +Give the first HbA1c value measured in the first trimester (in mmol/mol units) +Normal values for non-diabetic individuals <48mmol/mol",,"Table reference: EUROCAT/EUROmediCAT. 999 = Not known +3 digits",,,,False,,,,, +MBRN,MBRN,SPINAB,Spina bifida,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,KJONN,Child’s gender,,,1.0,,,,,,,,,,,,"0 = Not specified + 1 = Male + 2 = Female + 3 = Uncertain + 9 = Missing",False,,,,, +PHT,PHT,DOCE,Dose,,,1.0,,,,,,,,,,,,,False,,,,, +OOM,EUROCAT,person_id_mother,,,,2.2,,,,,,false,"If the datasource contains other tables beyond EUROCAT, indicate here the identifier of the mother that is used in the other tables",,"Table reference: EUROCAT/EUROmediCAT. If the datasource contains other tables beyond EUROCAT,the proportion of rows that have a valid value in this field is a quality indicator",,,,False,,,,, +GenR,core,p07_01_05,HORSE,,,1.0.0,,continuous,gram_per_day,,,,Intake of horse,,,,,,False,,,,, +DHL,CPA1,aborti,Number of spontaneous abortions prior to delivery.,,,1.0,,,,,,,,,,,,"If the field concep= ""2"", only allowed value ""0"". ""99"" = not detected.",False,,,,, +DHL,CPA1,accr_fet,Fetal growth defect,,,1.0,,,,,,,By fetal growth defect we mean the slowed intrauterine growth (values ​​below the 10th percentile) diagnosed in the pre-natal phase.,,,,,"""1"" = slowing down intrauterine growth + ""2"" = no slowing down intrauterine growth + ""9"" = not detected or incorrect",False,,,,, +DHL,CPA1,altezza,Height of new mother in cm.,,,1.0,,,,,,,,,,,,"""999"" = not detected or incorrect",False,,,,, +DHL,CPA1,amnio,Amniocentesis,,,1.0,,,,,,,,,,,,"""1"" = yes, ""2"" = no,""9""= not detected or incorrect",False,,,,, +DHL,CPA1,anon_m,New mother covered by anonymity,,,1.0,,,,,,,,,,,,"""0"" = no, new mother not covered by anonymity + ""1"" = yes, new mother covered by anonymity + ""9"" = not detected or incorrect",False,,,,, +DHL,CPA2,apgar,"Apgar Score, + attributed to the newborn after 5 minutes according to the Apgar method.",,,1.0,,,,,,,,,,,,"If the newborn is born alive (vitality) = ""1"", it admits values ​​from ""1"" to ""10"". If the newborn is born dead (vitality) = ""2"", it admits only value ""0"". + 99 = not detected or incorrect",False,,,,, +DHL,CPA2,cariotipo,Karyotype,,,1.0,,,,,,,,,,,,"It is completed only in the presence of malformations (malfor) = ""1"" and if the karyotype is performed before birth. + The cytogenetic diagnosis carried out in order to identify chromosomal, numerical and structural anomalies is specified in full.",False,,,,, +DHL,CPA2,circ_cra,Head circumference,,,1.0,,,,,,,,,,,,Head circumference in centimeters.,False,,,,, +DHL,CPA2,circost,other relevant circumstance,,,1.0,,,,,,,,,,,,"Field filled only in case of born dead (vitality field = 2). It contains any other condition which, in the opinion of the doctor, although not included in the previous items, is relevant for the purposes of death. Coded with codes ICD9CM",False,,,,, +DHL,CPA2,d_cicost,Description of other relevant circumstance,,,1.0,,,,,,,,,,,,"Field filled only in the case of stillbirth (vitality = ""2""). + Clear description of the relevant circumstance.",False,,,,, +DHL,CPA2,d_mal_1m,Description of the mother main disease affecting fetus,,,1.0,,,,,,,,,,,,"Field filled only in the case of stillbirth (vitality = ""2""). + Description of the main disease of the mother.",False,,,,, +NFBC1966,core,age_mdg16,age_mdg16,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg3,age_fdg3,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +LongITools,wave_01,hypertension,Hypertension,,,1.0.0,,categorical,,,,,Hypertension status based on physician diagnosis: either being told by a physician or medical records. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +NFBC1966,core,age_fdg11,age_fdg11,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg2,age_fdg2,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +PELAGIE,BDD_creatinine,CHILDCREAT,Creatinine concentration in the urine of children at 6 years,,,1.0.0,,integer,mg/litre,,,,,,,,,,False,,,,, +NFBC1966,core,age_mdg17,age_mdg17,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +PELAGIE,BDD_creatinine,CREATININE_TOT,Creatinine concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,,,False,,,,, +PELAGIE,BDD_creatinine,SGURINEF,Gestational age at th etime of urine collection,,,1.0.0,,integer,week,,,,,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v058,C6600Q_F12v058,,,1.0.0,,continuous,kg,,,,Prepregnancy weight,,,,,,False,,,,, +NFBC1966,core,age_fdg30,age_fdg30,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg18,age_mdg18,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +OOM,EUROCAT,faanom,,,,2.2,,,,,,false,"FATHER’S FAMILY WITH ANOMALIES +As MOANOM + +Please give details in text variable 90 SP_FAANOM",,"1 = Same +2 = Other +3 = Same and other +4 = No +9 = Not known,Table reference: EUROCAT/EUROmediCAT. As MOANOM",,,,False,,,,, +NFBC1966,core,age_fdg31,age_fdg31,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +LongITools,wave_01,smk_ever,"Smoking, ever",,,1.0.0,,categorical,,,,,Has the study participant ever smoked regularly? Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +PELAGIE,BDD_ethers,EAA,EAA concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,,,False,,,,, +PELAGIE,BDD_ethers,EAA_ENFANT,EAA Concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +LongITools,wave_01,alc,Alcohol intake,,,1.0.0,,categorical,,,,,Does the study participant currently drink alcohol? Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +NFBC1966,core,age_fdg26,age_fdg26,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v077,C6600Q_F12v077,,,1.0.0,,categorical,,,,,"How many cigarettes/pipefuls a day did the mother smoke during the last three months of pregnancy cigarettes, pipefuls",,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v002,C6600Q_F12v002,,,1.0.0,,categorical,,,,,Marital status during pregnancy,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v051,C6600Q_F12v051,,,1.0.0,,categorical,,,,,Has the mother's mood during this pregnancy been,,,,,,False,,,,, +NFBC1966,core,age_mdg19,age_mdg19,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +PELAGIE,BDD_ethers,EEAA,EEAA concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,,,False,,,,, +NFBC1966,core,age_mdg2,age_mdg2,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg20,age_fdg20,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v060,C6600Q_F12v060,,,1.0.0,,integer,,,,,How many deliveries has the mother had?,,,,,,False,,,,, +OOM,EUROCAT,firstpre,,,,2.2,,,,,,false,"FIRST POSITIVE PRENATAL TEST +This refers to the first prenatal test whether screening procedure or diagnostic test which indicated a possible congenital anomaly or need for further tests. + +For code 7 = other specified test, give information in text field (variable 22). + +If test performed and result negative, then the “When discovered” variable cannot be coded 6 (prenatal diagnosis). + +This field is to record what DID happen, not any possible plans or intentions. Ultrasound < 14 weeks means only ultrasound performed which may include a nuchal measurement. The serum/combined screening must involve a biochemical test",,"1 = Ultrasound at GA < 14 weeks +2 = Ultrasound at GA 14-21 weeks +3 = Ultrasound at GA ≥ 22 weeks +4 = Ultrasound GA not known +5 = Serum/ combined screening +6 = CVS or +amniocentesis +7 = Other test positive +8 = Test(s) performed,result negative +9 = Not known +10 = No test +performed,Table reference: EUROCAT",,,,False,,,,, +LongITools,wave_01,study_country,Country of study,,,1.0.0,,categorical,,,,,Country of the study,,,,,,False,,,,, +NFBC1966,core,age_mdg20,age_mdg20,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg1,age_fdg1,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v082,C6600Q_F12v082,,,1.0.0,,categorical,,,,,Child live/dead born,,,,,,False,,,,, +LongITools,wave_01,study_id,Study id,,,1.0.0,,categorical,,,,,Unique identifier number for the study,,,,,,False,,,,, +NFBC1966,core,age_fdg24,age_fdg24,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +PELAGIE,BDD_ethers,EEAA_ENFANT,EEAA Concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +OOM,EUROCAT,premal2,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION +AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally +2 = No,this anomaly was diagnosed postnatally +3 = This anomaly partially prenatally diagnosed +9 =Not known,Table reference: EUROCAT AS PRESYN",,,,False,,,,, +RMR,RMR,datmorte,Death date,,,1.0,,,,,,,Nome specifico Data_morte,,,,,Date format ddmmyyyy.,False,,,,, +NFBC1966,core,age_mdg21,age_mdg21,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg22,age_mdg22,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +OOM,EUROCAT,malfo3,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,,,False,,,,, +NFBC1966,core,C6600Q_F12v054,C6600Q_F12v054,,,1.0.0,,categorical,,,,,Did the mother change her smoking habits during this pregnancy?,,,,,,False,,,,, +PELAGIE,BDD_ethers,MAA,MAA concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v056,C6600Q_F12v056,,,1.0.0,,continuous,,,,,Number of cigarettes and pipes after the,,,,,,False,,,,, +NFBC1966,core,C6614Q_NTT_045,C6614Q_NTT_045,,,1.0.0,,categorical,,,,,Father's smoking ( at 14-year follow-up),,,,,,False,,,,, +NFBC1966,core,age_fdg10,age_fdg10,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +LongITools,wave_01,alc_unit,"Alcohol intake, units",,,1.0.0,,categorical,,,,,Average units of alcohol per week. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,ap_age,Age at adiposity peak,,,1.0.0,,continuous,day,,,,Age at adiposity peak in days. Age when the individual experienced their highest BMI between birth and 2 years.,,,,,,False,,,,, +LongITools,wave_01,ap_bmi,BMI at adiposity peak,,,1.0.0,,continuous,kg/m2,,,,BMI at adiposity peak. Highest BMI reached between birth and 2 years.,,,,,,False,,,,, +LongITools,wave_01,ar_age,Age at adiposity reobund,,,1.0.0,,continuous,day,,,,Age at adiposity rebound in days. Age when the individual experienced their lowest BMI.,,,,,,False,,,,, +LongITools,wave_01,ar_bmi,BMI at adiposity rebound,,,1.0.0,,continuous,kg/m2,,,,BMI at adiposity rebound. BMI when the individual experienced their lowest adiposity.,,,,,,False,,,,, +LongITools,wave_01,car_plaques,Carotid plaques,,,1.0.0,,categorical,,,,,Carotid plaques. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v044,C6600Q_F12v044,,,1.0.0,,categorical,,,,,Mother's education,,,,,,False,,,,, +LongITools,wave_01,chd_acs,"Coronary events and incidents, acute coronary syndrome",,,1.0.0,,categorical,,,,,Coronary events and incidents: Acute coronary syndrome. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,chd_ap,"Coronary events and incidents, angina pectoris",,,1.0.0,,categorical,,,,,Coronary events and incidents: Angina pectoris. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,chd_broad,"Coronary events and incidents, broad definition",,,1.0.0,,categorical,,,,,Has the study participant had coronary events (broad definition)? Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,chd_cabg,"Coronary events and incidents, coronary artery bypass graft",,,1.0.0,,categorical,,,,,Coronary events and incidents: Coronary artery bypass graft. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +NFBC1966,core,age_fdg29,age_fdg29,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +LongITools,wave_01,chd_hard,"Coronary events and incidents, hard definition",,,1.0.0,,categorical,,,,,Has the study participant had coronary events (hard definition)? Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,chd_mi,"Coronary events and incidents, myocardial infarction",,,1.0.0,,categorical,,,,,Coronary events and incidents: Myocardial infarction. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,chd_revasc,"Coronary events and incidents, coronary revascularisation procedures",,,1.0.0,,categorical,,,,,Coronary events and incidents: Coronary revascularisation procedures. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,chd_si,"Coronary events and incidents, silent ischemia",,,1.0.0,,categorical,,,,,Coronary events and incidents: Silent ischemia. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,cimtmeanmax,Mean or max carotid intima-media thickness,,,1.0.0,,categorical,,,,,Is the reported carotid intima-media thickness mean or maximum? Provide repeated measures in long format with corresponding age in days.,,,,,,False,,,,, +LongITools,wave_01,cob,Country of birth,,,1.0.0,,categorical,,,,,Country of birth,,,,,,False,,,,, +LongITools,wave_01,death,Mortality,,,1.0.0,,categorical,,,,,Indicator variable for death of the individual. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,death_cause,"Mortality, cause of death",,,1.0.0,,categorical,,,,,Cause of death.,,,,,,False,,,,, +LongITools,wave_01,diab_t2_icd,"Type 2 diabetes, ICD10 codes",,,1.0.0,,categorical,,,,,Type 2 diabetes based on ICD10 code. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,diab_t2_sr,"Type 2 diabetes, self reported",,,1.0.0,,categorical,,,,,Type 2 diabetes based on self-reported measure. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,diet_fish,Fish and fish products,,,1.0.0,,continuous,servings/day,,,,Fish and fish products intake. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,diet_fruit,Fruits,,,1.0.0,,continuous,servings/day,,,,Fruits intake. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,diet_kcal,Daily kcal intake,,,1.0.0,,continuous,kcal/day,,,,Daily kcal intake. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,diet_na,Sodium intake,,,1.0.0,,continuous,mg/day,,,,Sodium intake. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,menopause_age,Age at menopause,,,1.0.0,,continuous,year,,,,Age at menopause in years (females only),,,,,,False,,,,, +LongITools,wave_01,diet_swebev,Sugar-sweetened beverages,,,1.0.0,,continuous,servings/day,,,,Sugar-sweetened beverages intake. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,diet_veg,Vegetables without potatoes,,,1.0.0,,continuous,servings/day,,,,"Vegetables intake, without potatoes. Provide repeated measures in long format with corresponding age in years and method for each measure.",,,,,,False,,,,, +LongITools,wave_01,drugs_a,"Drug use, A) Alimentary tract and metabolism drug use.",,,1.0.0,,categorical,,,,,"Drug use, A) Alimentary tract and metabolism drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +LongITools,wave_01,drugs_b,"Drug use, B) Blood and blood forming organs drug use.",,,1.0.0,,categorical,,,,,"Drug use, B) Blood and blood forming organs drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v020,C6600Q_F12v020,,,1.0.0,,categorical,,,,,Father's occupational status,,,,,,False,,,,, +LongITools,wave_01,drugs_c,"Drug use, C) Cardiovascular system drug use.",,,1.0.0,,categorical,,,,,"Drug use, C) Cardiovascular system drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +LongITools,wave_01,drugs_d,"Drug use, D) Dermatological drug use.",,,1.0.0,,categorical,,,,,"Drug use, D) Dermatological drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +LongITools,wave_01,drugs_g,"Drug use, G) Genito-urinary system and sex hormones drug use.",,,1.0.0,,categorical,,,,,"Drug use, G) Genito-urinary system and sex hormones drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +LongITools,wave_01,drugs_h,"Drug use, H) Systemic hormonal preparations, excluding sex hormones and insulins drug use.",,,1.0.0,,categorical,,,,,"Drug use, H) Systemic hormonal preparations, excluding sex hormones and insulins drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +OOM,EUROCAT,condisc,,,,2.2,,,,,,false,"CONDITION AT DISCOVERY Condition of fetus or baby when malformation was first suspected.",,"1 = Alive 2 = Dead -9 = Not known,Table reference: EUROCAT",,, -LongITools_CDM,wave_01,drugs_j,"Drug use, J) Anti-infectives for systemic drug use.",,,1.0.0,,categorical,,,,,"Drug use, J) Anti-infectives for systemic drug use. Also indicate the age or time range (drugs_range) to which visit data refers to.",,,,, -OOM_CDM,EUROCAT,malfo4,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,, -LongITools_CDM,wave_01,drugs_l,"Drug use, L) Antineoplastic and immunomodulating agents drug use.",,,1.0.0,,categorical,,,,,"Drug use, L) Antineoplastic and immunomodulating agents drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -LongITools_CDM,wave_01,drugs_m,"Drug use, M) Musculo-skeletal system drug use.",,,1.0.0,,categorical,,,,,"Drug use, M) Musculo-skeletal system drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -LongITools_CDM,wave_01,drugs_n,"Drug use, N) Nervous system drug use.",,,1.0.0,,categorical,,,,,"Drug use, N) Nervous system drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -LongITools_CDM,wave_01,drugs_p,"Drug use, P) Antiparasitic products, insecticides and repellents drug use.",,,1.0.0,,categorical,,,,,"Drug use, P) Antiparasitic products, insecticides and repellents drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -ATHLETE_CDM,outcome_ath,head_circum_sdsWHO_t2,Gestational age-adjusted head circumference SDS  in 2nd trimester based on overall WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,, -LongITools_CDM,wave_01,drugs_r,"Drug use, R) Respiratory system drug use.",,,1.0.0,,categorical,,,,,"Drug use, R) Respiratory system drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -LongITools_CDM,wave_01,drugs_range,"Drug use, age range",,,1.0.0,,continuous,month,,,,Time range to which following drug use data refers to. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,drugs_s,"Drug use, S) Sensory organs drug use.",,,1.0.0,,categorical,,,,,"Drug use, S) Sensory organs drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -LongITools_CDM,wave_01,drugs_v,"Drug use, V) Various drug use.",,,1.0.0,,categorical,,,,,"Drug use, V) Various drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,, -LongITools_CDM,wave_01,edu,Own education,,,1.0.0,,categorical,,,,,Education of the study participant. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,ethn1,Ethnic background based on country of origin,,,1.0.0,,categorical,,,,,Ethnic background based on country of origin,,,,, -LongITools_CDM,wave_01,ethn2,Ethnic background based on colour,,,1.0.0,,categorical,,,,,Ethnic background based on colour,,,,, -LongITools_CDM,wave_01,ethn3,"Ethnic background, best estimate",,,1.0.0,,categorical,,,,,Best estimate of ethnic background based on ethn1 or ethn2 and study's own discretion,,,,, -LongITools_CDM,wave_01,famsize_adult_own,Number of adults in the household,,,1.0.0,,integer,,,,,Total number of adults in the same household of study participant. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,famsize_child_own,Number of children in the household,,,1.0.0,,integer,,,,,Total number of children under 18 years old in the household of study participant. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,hhincome_own,Own household income,,,1.0.0,,categorical,,,,,Total yearly household of the study participant. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,hosp,Hospitalized as an inpatient,,,1.0.0,,categorical,,,,,"Was the study participant hospitalized? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (hosp_range).",,,,, -LongITools_CDM,wave_01,hosp_n,Number of hospitalizations,,,1.0.0,,integer,,,,,"How many times the study participant was hospitalized? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (hosp_n_range).",,,,, -LongITools_CDM,wave_01,hosp_n_range,"Number of hospitalizations, time",,,1.0.0,,continuous,month,,,,Time range in months to which hosp_n refers to. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,hosp_nights,"Number of hospitalizations, number of nights",,,1.0.0,,integer,,,,,Total number of nights of hospitalization reported in hosp_n. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,hosp_range,"Hospitalized as an inpatient, time",,,1.0.0,,continuous,month,,,,Time range in months to which hosp refers to. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,hypertension_med,"Hypertension, use of anti-hypertensive medication",,,1.0.0,,categorical,,,,,Use of anti-hypertensive medication. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,menarche_age,Age at menarche,,,1.0.0,,continuous,year,,,,Age at menarche (females only),,,,, -PELAGIE,BDD_ethers,MAA_ENFANT,MAA concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -LongITools_CDM,wave_01,occup,Own occupational status,,,1.0.0,,categorical,,,,,Occupational status of the study participant. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,outdoor,Child’s outdoor play duration,,,1.0.0,,continuous,hours/day,,,,Time spent playing outdoors. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,outdoor_season,"Child’s outdoor play duration, season when asked",,,1.0.0,,categorical,,,,,Season of outdoor collection. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,pa_mod,"Physical activity, moderate based on MET categories 3-6",,,1.0.0,,continuous,hours/week,,,,Total duration of moderate physical activity per week based on METs classification (3-6 METs). Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,pa_mod_vig,"Physical activity, moderate to vigorous",,,1.0.0,,continuous,hours/week,,,,Total duration of moderate to vigorous physical activity per week. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,, -LongITools_CDM,wave_01,pa_vig,"Physical activity, vigorous based on MET categories >6",,,1.0.0,,continuous,hours/week,,,,Total duration of vigorous physical activity per week based on METs classification (>6 METs). Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,phv_age,Age at peak height velocity,,,1.0.0,,continuous,year,,,,Age at which the individual experienced their fastest upward growth in their stature. Note: this can be estimated only if the participant has at least two height measures recorded between ages 5 and 20 years AND at least one of the height measures recorded at or after age 9 years,,,,, -LongITools_CDM,wave_01,region_birth,Region of birth,,,1.0.0,,categorical,,,,,"Region of birth, adapted from the World Bank classification",,,,, -LongITools_CDM,wave_01,sedentary_time,Sedentary behaviour,,,1.0.0,,continuous,hours/day,,,,Total screen time per day (time spent watching TV / playing video games / using a tablet; a smartphone). Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,sleep_duration,Sleep duration,,,1.0.0,,continuous,hours/day,,,,Time spent sleeping per day. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,smk_cess,Smoking cessation,,,1.0.0,,continuous,year,,,,Age in years when the study participant stopped smoking. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,smk_cig,"Smoking, number of cigarrettes",,,1.0.0,,categorical,,,,,Average number of cigarettes smoked per day. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,smk_curr,Current smoking status,,,1.0.0,,categorical,,,,,Current smoking status. Provide repeated measures in long format with corresponding age in years.,,,,, -NFBC1966,core,age_fdg25,age_fdg25,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -ATHLETE_CDM,outcome_ath,homa_ir_idefics_perc_0,Repeated HOMA-IR percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,, -LongITools_CDM,wave_01,tanner_breast,Tanner stages of breast development,,,1.0.0,,categorical,,,,,Tanner stages (I-V) of breast development (females only). Provide repeated measures in long format. Age represents the age of the study participant in years at the time of the measurement.,,,,, -NFBC1966,core,C6600Q_F12v050,C6600Q_F12v050,,,1.0.0,,categorical,,,,,The mother considers this pregnancy (Desirability of pregnancy),,,,, -LongITools_CDM,wave_01,tanner_genit,Tanner stages of genitalia development,,,1.0.0,,categorical,,,,,"Tanner stages (I-V) of testes, scrotum, and penis development (males only). Provide repeated measures in long format. Age represents the age of the study participant in years at the time of the measurement.",,,,, -LongITools_CDM,wave_01,tanner_pubhair,Tanner stages of pubic hair development,,,1.0.0,,categorical,,,,,Tanner stages (I-V) of pubic hair development. Provide repeated measures in long format. Age represents the age of the study participant in years at the time of the measurement.,,,,, -LongITools_CDM,wave_01,visits_dentist,"Health professional visits, dentist or orthodontist",,,1.0.0,,integer,,,,,"How many times the study participant has seen dentist or dental hygiensit? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (visits_range).",,,,, -LongITools_CDM,wave_01,visits_gp,"Health professional visits, GP (general practitioner) or family doctor",,,1.0.0,,integer,,,,,"How many times the study participant has seen GP or family doctor? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (visits_range).",,,,, -LongITools_CDM,wave_01,visits_nurse,"Health professional visits, nurse or midwife",,,1.0.0,,integer,,,,,"How many times the study participant has seen nurse (incl. midwife, physician assistant, GP-assistant)? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (visits_range).",,,,, -LongITools_CDM,wave_01,visits_orthodontist,"Health professional visits, orthodontist",,,1.0.0,,integer,,,,,"How many times the study participant has seen orthodontist? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (visits_range).",,,,, -LongITools_CDM,wave_01,visits_range,"Health professional visits, age range",,,1.0.0,,continuous,month,,,,Time range to which following visit data refers to. Provide repeated measures in long format with corresponding age in years.,,,,, -LongITools_CDM,wave_01,visits_specialist,"Health professional visits, specialist",,,1.0.0,,integer,,,,,"How many times the study participant has seen any health care specialist (i.e. non-GP visit)? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (visits_range).",,,,, -LongITools_CDM,wave_01,voice_break_age,Age at voice break,,,1.0.0,,continuous,year,,,,Age at which voice started to change/break (males only),,,,, -NFBC1966,core,C6600Q_F12v021,C6600Q_F12v021,,,1.0.0,,categorical,,,,,Has the mother been working outside home during this pregnancy?,,,,, -NFBC1966,core,C6600Q_F12v024,C6600Q_F12v024,,,1.0.0,,categorical,,,,,How many of them are aged under 15?,,,,, -NFBC1966,core,C6600Q_F12v035,C6600Q_F12v035,,,1.0.0,,categorical,,,,,How many cows does the household have? (during VI-VII months of pregnancy),,,,, -NFBC1966,core,C6600Q_F12v036,C6600Q_F12v036,,,1.0.0,,categorical,,,,,How many pigs does the household have? (during VI-VII months of pregnancy),,,,, -NFBC1966,core,C6600Q_F12v037,C6600Q_F12v037,,,1.0.0,,categorical,,,,,How many sheeps does the household have?(during VI-VII months of pregnancy),,,,, -NFBC1966,core,C6600Q_F12v038,C6600Q_F12v038,,,1.0.0,,categorical,,,,,How many hens does the household have? (during VI-VII months of pregnancy),,,,, -NFBC1966,core,C6600Q_F12v039,C6600Q_F12v039,,,1.0.0,,categorical,,,,,How many minks or other animals are in the household?(during VI-VII months of pregnancy),,,,, -OOM_CDM,EUROCAT,malfo5,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,, -NFBC1966,core,C6600Q_F12v052,C6600Q_F12v052,,,1.0.0,,categorical,,,,,"During the 12 months preceding the pregnancy, did the mother smoke at least one cigarette or one pipeful or tobacco a day?",,,,, -NFBC1966,core,C6600Q_F12v053,C6600Q_F12v053,,,1.0.0,,categorical,,,,,"If yes, "" how many cigarettes/pipefuls a days?",,,,, -NFBC1966,core,C6600Q_F12v054,C6600Q_F12v054,,,1.0.0,,categorical,,,,,Did the mother change her smoking habits during this pregnancy?,,,,, -NFBC1966,core,C6600Q_F12v056,C6600Q_F12v056,,,1.0.0,,continuous,,,,,Number of cigarettes and pipes after the,,,,, -NFBC1966,core,C6600Q_F12v057,C6600Q_F12v057,,,1.0.0,,continuous,cm,,,,Mother's height without shoes,,,,, -NFBC1966,core,C6600Q_F12v058,C6600Q_F12v058,,,1.0.0,,continuous,kg,,,,Prepregnancy weight,,,,, -NFBC1966,core,C6600Q_F12v077,C6600Q_F12v077,,,1.0.0,,categorical,,,,,"How many cigarettes/pipefuls a day did the mother smoke during the last three months of pregnancy cigarettes, pipefuls",,,,, -NFBC1966,core,C6600Q_F12v082,C6600Q_F12v082,,,1.0.0,,categorical,,,,,Child live/dead born,,,,, -NFBC1966,core,C6600Q_F12v086,C6600Q_F12v086,,,1.0.0,,continuous,cm,,,,Birthlenght,,,,, -NFBC1966,core,C6600Q_F12v089,C6600Q_F12v089,,,1.0.0,,continuous,gram,,,,Weight of the placenta,,,,, -NFBC1966,core,C6600Q_F12v095,C6600Q_F12v095,,,1.0.0,,continuous,week,,,,Gestational age,,,,, -NFBC1966,core,C6600Q_F12v107,C6600Q_F12v107,,,1.0.0,,continuous,gram,,,,Birthweight,,,,, -NFBC1966,core,C6600Q_F12v114,C6600Q_F12v114,,,1.0.0,,categorical,,,,,Mother's smoking at 2 month,,,,, -NFBC1966,core,C6600_F8V006,C6600_F8V006,,,1.0.0,,binary,,,,,Parturient's diseases: Thyreotoxicosis,,,,, -NFBC1966,core,C6600_F8V031,C6600_F8V031,,,1.0.0,,binary,,,,,Has there been fever (over 38 degrees) during the pregnancy?,,,,, -NFBC1966,core,C6600_F8V038,C6600_F8V038,,,1.0.0,,binary,,,,,Where there some of the following: Ablatio placenta,,,,, -NFBC1966,core,C6600_F8V043,C6600_F8V043,,,1.0.0,,categorical,,,,,Mode of delivery,,,,, -NFBC1966,core,C6600_F8V045,C6600_F8V045,,,1.0.0,,continuous,,,,,Apgar at age of 15 minutes,,,,, -NFBC1966,core,C6600_F8V048,C6600_F8V048,,,1.0.0,,categorical,,,,,Did child has something clear congenital malformation?,,,,, -NFBC1966,core,C6600_F8V050,C6600_F8V050,,,1.0.0,,binary,,,,,Was the child consigned to another medical unit straight away from maternity hospital? Newborn nursery,,,,, -NFBC1966,core,C6600_F8V061,C6600_F8V061,,,1.0.0,,continuous,kg,,,,Weight at last visit in antenatal clinic,,,,, -NFBC1966,core,C6600_F8V062,C6600_F8V062,,,1.0.0,,continuous,gram,,,,Weight at last visit in antenatal clinic,,,,, -NFBC1966,core,C6600_F8V063,C6600_F8V063,,,1.0.0,,continuous,kg,,,,Mother's weight (when she came to hospital) (kilograms),,,,, -NFBC1966,core,C6600_F8V064,C6600_F8V064,,,1.0.0,,continuous,gram,,,,"Mother's weight, when she came to hospital (grams)",,,,, -NFBC1966,core,C6600_UURRHYLK,C6600_UURRHYLK,,,1.0.0,,categorical,,,,,Preeclampsia,,,,, -NFBC1966,core,C6614Q_NTT_034,C6614Q_NTT_034,,,1.0.0,,continuous,,,,,How many children are there (or have there been) in your family? Children (14-year follow-up),,,,, -NFBC1966,core,C6614Q_NTT_035,C6614Q_NTT_035,,,1.0.0,,continuous,,,,,Is someone from the children already living away from home? How many?,,,,, -NFBC1966,core,C6614Q_NTT_036,C6614Q_NTT_036,,,1.0.0,,continuous,,,,,Is someone from the children died? How many?,,,,, -NFBC1966,core,C6614Q_NTT_037,C6614Q_NTT_037,,,1.0.0,,categorical,,,,,My mother is (Mother alive at 14-year follow-up),,,,, -NFBC1966,core,C6614Q_NTT_039,C6614Q_NTT_039,,,1.0.0,,categorical,,,,,Mother (is at work/at home at 14-year follow-up),,,,, -NFBC1966,core,C6614Q_NTT_041,C6614Q_NTT_041,,,1.0.0,,categorical,,,,,My father is (Father alive at 14-year follow-up),,,,, -NFBC1966,core,C6614Q_NTT_043,C6614Q_NTT_043,,,1.0.0,,categorical,,,,,Father (is at work at 14-year follow-up),,,,, -NFBC1966,core,C6631C_ZT_017_1,C6631C_ZT_017_1,,,1.0.0,,categorical,,,,,"When you were under 7-years-old, did you have at home a cat? (asked at the 31-year follow-up)",,,,, -NFBC1966,core,C6631C_ZT_017_2,C6631C_ZT_017_2,,,1.0.0,,categorical,,,,,"When you were under 7-years-old, did you have at home a dog ?(asked at the 31-year follow-up)",,,,, -NFBC1966,core,C6631C_ZT_017_3,C6631C_ZT_017_3,,,1.0.0,,categorical,,,,,"When you were under 7-years-old, did you have any other hair or feathered animals?(asked at the 31-year follow-up)",,,,, -NFBC1966,core,C66_age_years,C66_age_years,,,1.0.0,,continuous,year,,,,Age in years (in growth long data),,,,, -NFBC1966,core,C66_height,C66_height,,,1.0.0,,continuous,cm,,,,Height (in growth long data),,,,, -NFBC1966,core,C66_weight,C66_weight,,,1.0.0,,continuous,kg,,,,Weight (in growth long data),,,,, -NFBC1966,core,Gender,Gender,,,1.0.0,,binary,,,,,Gender,,,,, -NFBC1966,core,age_fdg12,age_fdg12,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg13,age_fdg13,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg14,age_fdg14,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg15,age_fdg15,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg16,age_fdg16,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg17,age_fdg17,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg18,age_fdg18,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg19,age_fdg19,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg2,age_fdg2,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg20,age_fdg20,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg21,age_fdg21,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg22,age_fdg22,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg23,age_fdg23,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg27,age_fdg27,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg28,age_fdg28,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg32,age_fdg32,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg33,age_fdg33,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg4,age_fdg4,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg5,age_fdg5,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg6,age_fdg6,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg7,age_fdg7,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg8,age_fdg8,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_fdg9,age_fdg9,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg1,age_mdg1,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg10,age_mdg10,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg11,age_mdg11,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg12,age_mdg12,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg13,age_mdg13,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg14,age_mdg14,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg15,age_mdg15,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg23,age_mdg23,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg24,age_mdg24,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg25,age_mdg25,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg26,age_mdg26,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg27,age_mdg27,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -PELAGIE,BDD_ethers,MEAA,MEAA concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,, -OOM_CDM,EUROCAT,consang,,,,2.2,,,,,,false,"CONSANGUINITY +9 = Not known,Table reference: EUROCAT",,,,False,,,,, +LongITools,wave_01,drugs_j,"Drug use, J) Anti-infectives for systemic drug use.",,,1.0.0,,categorical,,,,,"Drug use, J) Anti-infectives for systemic drug use. Also indicate the age or time range (drugs_range) to which visit data refers to.",,,,,,False,,,,, +OOM,EUROCAT,malfo4,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,,,False,,,,, +LongITools,wave_01,drugs_l,"Drug use, L) Antineoplastic and immunomodulating agents drug use.",,,1.0.0,,categorical,,,,,"Drug use, L) Antineoplastic and immunomodulating agents drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +LongITools,wave_01,drugs_m,"Drug use, M) Musculo-skeletal system drug use.",,,1.0.0,,categorical,,,,,"Drug use, M) Musculo-skeletal system drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +LongITools,wave_01,drugs_n,"Drug use, N) Nervous system drug use.",,,1.0.0,,categorical,,,,,"Drug use, N) Nervous system drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +LongITools,wave_01,drugs_p,"Drug use, P) Antiparasitic products, insecticides and repellents drug use.",,,1.0.0,,categorical,,,,,"Drug use, P) Antiparasitic products, insecticides and repellents drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +LongITools,wave_01,drugs_r,"Drug use, R) Respiratory system drug use.",,,1.0.0,,categorical,,,,,"Drug use, R) Respiratory system drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +LongITools,wave_01,drugs_range,"Drug use, age range",,,1.0.0,,continuous,month,,,,Time range to which following drug use data refers to. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,drugs_s,"Drug use, S) Sensory organs drug use.",,,1.0.0,,categorical,,,,,"Drug use, S) Sensory organs drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +LongITools,wave_01,drugs_v,"Drug use, V) Various drug use.",,,1.0.0,,categorical,,,,,"Drug use, V) Various drug use. Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (drugs_range).",,,,,,False,,,,, +LongITools,wave_01,edu,Own education,,,1.0.0,,categorical,,,,,Education of the study participant. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,ethn1,Ethnic background based on country of origin,,,1.0.0,,categorical,,,,,Ethnic background based on country of origin,,,,,,False,,,,, +LongITools,wave_01,ethn2,Ethnic background based on colour,,,1.0.0,,categorical,,,,,Ethnic background based on colour,,,,,,False,,,,, +LongITools,wave_01,ethn3,"Ethnic background, best estimate",,,1.0.0,,categorical,,,,,Best estimate of ethnic background based on ethn1 or ethn2 and study's own discretion,,,,,,False,,,,, +LongITools,wave_01,famsize_adult_own,Number of adults in the household,,,1.0.0,,integer,,,,,Total number of adults in the same household of study participant. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,famsize_child_own,Number of children in the household,,,1.0.0,,integer,,,,,Total number of children under 18 years old in the household of study participant. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,hhincome_own,Own household income,,,1.0.0,,categorical,,,,,Total yearly household of the study participant. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,hosp,Hospitalized as an inpatient,,,1.0.0,,categorical,,,,,"Was the study participant hospitalized? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (hosp_range).",,,,,,False,,,,, +LongITools,wave_01,hosp_n,Number of hospitalizations,,,1.0.0,,integer,,,,,"How many times the study participant was hospitalized? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (hosp_n_range).",,,,,,False,,,,, +LongITools,wave_01,hosp_n_range,"Number of hospitalizations, time",,,1.0.0,,continuous,month,,,,Time range in months to which hosp_n refers to. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,hosp_nights,"Number of hospitalizations, number of nights",,,1.0.0,,integer,,,,,Total number of nights of hospitalization reported in hosp_n. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +LongITools,wave_01,hosp_range,"Hospitalized as an inpatient, time",,,1.0.0,,continuous,month,,,,Time range in months to which hosp refers to. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,hypertension_med,"Hypertension, use of anti-hypertensive medication",,,1.0.0,,categorical,,,,,Use of anti-hypertensive medication. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,menarche_age,Age at menarche,,,1.0.0,,continuous,year,,,,Age at menarche (females only),,,,,,False,,,,, +PELAGIE,BDD_ethers,MAA_ENFANT,MAA concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +LongITools,wave_01,occup,Own occupational status,,,1.0.0,,categorical,,,,,Occupational status of the study participant. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,outdoor,Child’s outdoor play duration,,,1.0.0,,continuous,hours/day,,,,Time spent playing outdoors. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,outdoor_season,"Child’s outdoor play duration, season when asked",,,1.0.0,,categorical,,,,,Season of outdoor collection. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,pa_mod,"Physical activity, moderate based on MET categories 3-6",,,1.0.0,,continuous,hours/week,,,,Total duration of moderate physical activity per week based on METs classification (3-6 METs). Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,pa_mod_vig,"Physical activity, moderate to vigorous",,,1.0.0,,continuous,hours/week,,,,Total duration of moderate to vigorous physical activity per week. Provide repeated measures in long format with corresponding age in years and method for each measure.,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v057,C6600Q_F12v057,,,1.0.0,,continuous,cm,,,,Mother's height without shoes,,,,,,False,,,,, +LongITools,wave_01,pa_vig,"Physical activity, vigorous based on MET categories >6",,,1.0.0,,continuous,hours/week,,,,Total duration of vigorous physical activity per week based on METs classification (>6 METs). Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,phv_age,Age at peak height velocity,,,1.0.0,,continuous,year,,,,Age at which the individual experienced their fastest upward growth in their stature. Note: this can be estimated only if the participant has at least two height measures recorded between ages 5 and 20 years AND at least one of the height measures recorded at or after age 9 years,,,,,,False,,,,, +LongITools,wave_01,region_birth,Region of birth,,,1.0.0,,categorical,,,,,"Region of birth, adapted from the World Bank classification",,,,,,False,,,,, +LongITools,wave_01,sedentary_time,Sedentary behaviour,,,1.0.0,,continuous,hours/day,,,,Total screen time per day (time spent watching TV / playing video games / using a tablet; a smartphone). Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,sleep_duration,Sleep duration,,,1.0.0,,continuous,hours/day,,,,Time spent sleeping per day. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,smk_cess,Smoking cessation,,,1.0.0,,continuous,year,,,,Age in years when the study participant stopped smoking. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,smk_cig,"Smoking, number of cigarrettes",,,1.0.0,,categorical,,,,,Average number of cigarettes smoked per day. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,smk_curr,Current smoking status,,,1.0.0,,categorical,,,,,Current smoking status. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +NFBC1966,core,age_fdg25,age_fdg25,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +LongITools,wave_01,tanner_breast,Tanner stages of breast development,,,1.0.0,,categorical,,,,,Tanner stages (I-V) of breast development (females only). Provide repeated measures in long format. Age represents the age of the study participant in years at the time of the measurement.,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v050,C6600Q_F12v050,,,1.0.0,,categorical,,,,,The mother considers this pregnancy (Desirability of pregnancy),,,,,,False,,,,, +LongITools,wave_01,tanner_genit,Tanner stages of genitalia development,,,1.0.0,,categorical,,,,,"Tanner stages (I-V) of testes, scrotum, and penis development (males only). Provide repeated measures in long format. Age represents the age of the study participant in years at the time of the measurement.",,,,,,False,,,,, +LongITools,wave_01,tanner_pubhair,Tanner stages of pubic hair development,,,1.0.0,,categorical,,,,,Tanner stages (I-V) of pubic hair development. Provide repeated measures in long format. Age represents the age of the study participant in years at the time of the measurement.,,,,,,False,,,,, +LongITools,wave_01,visits_dentist,"Health professional visits, dentist or orthodontist",,,1.0.0,,integer,,,,,"How many times the study participant has seen dentist or dental hygiensit? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (visits_range).",,,,,,False,,,,, +LongITools,wave_01,visits_gp,"Health professional visits, GP (general practitioner) or family doctor",,,1.0.0,,integer,,,,,"How many times the study participant has seen GP or family doctor? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (visits_range).",,,,,,False,,,,, +LongITools,wave_01,visits_nurse,"Health professional visits, nurse or midwife",,,1.0.0,,integer,,,,,"How many times the study participant has seen nurse (incl. midwife, physician assistant, GP-assistant)? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (visits_range).",,,,,,False,,,,, +LongITools,wave_01,visits_orthodontist,"Health professional visits, orthodontist",,,1.0.0,,integer,,,,,"How many times the study participant has seen orthodontist? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (visits_range).",,,,,,False,,,,, +LongITools,wave_01,visits_range,"Health professional visits, age range",,,1.0.0,,continuous,month,,,,Time range to which following visit data refers to. Provide repeated measures in long format with corresponding age in years.,,,,,,False,,,,, +LongITools,wave_01,visits_specialist,"Health professional visits, specialist",,,1.0.0,,integer,,,,,"How many times the study participant has seen any health care specialist (i.e. non-GP visit)? Provide repeated measures in long format with corresponding age in years, method for each measure and time range to which this refers to (visits_range).",,,,,,False,,,,, +LongITools,wave_01,voice_break_age,Age at voice break,,,1.0.0,,continuous,year,,,,Age at which voice started to change/break (males only),,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v021,C6600Q_F12v021,,,1.0.0,,categorical,,,,,Has the mother been working outside home during this pregnancy?,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v024,C6600Q_F12v024,,,1.0.0,,categorical,,,,,How many of them are aged under 15?,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v035,C6600Q_F12v035,,,1.0.0,,categorical,,,,,How many cows does the household have? (during VI-VII months of pregnancy),,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v036,C6600Q_F12v036,,,1.0.0,,categorical,,,,,How many pigs does the household have? (during VI-VII months of pregnancy),,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v037,C6600Q_F12v037,,,1.0.0,,categorical,,,,,How many sheeps does the household have?(during VI-VII months of pregnancy),,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v038,C6600Q_F12v038,,,1.0.0,,categorical,,,,,How many hens does the household have? (during VI-VII months of pregnancy),,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v039,C6600Q_F12v039,,,1.0.0,,categorical,,,,,How many minks or other animals are in the household?(during VI-VII months of pregnancy),,,,,,False,,,,, +OOM,EUROCAT,malfo5,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,,,False,,,,, +NFBC1966,core,C6600Q_F12v052,C6600Q_F12v052,,,1.0.0,,categorical,,,,,"During the 12 months preceding the pregnancy, did the mother smoke at least one cigarette or one pipeful or tobacco a day?",,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v053,C6600Q_F12v053,,,1.0.0,,categorical,,,,,"If yes, "" how many cigarettes/pipefuls a days?",,,,,,False,,,,, +NFBC1966,core,age_fdg19,age_fdg19,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v086,C6600Q_F12v086,,,1.0.0,,continuous,cm,,,,Birthlenght,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v089,C6600Q_F12v089,,,1.0.0,,continuous,gram,,,,Weight of the placenta,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v095,C6600Q_F12v095,,,1.0.0,,continuous,week,,,,Gestational age,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v107,C6600Q_F12v107,,,1.0.0,,continuous,gram,,,,Birthweight,,,,,,False,,,,, +NFBC1966,core,C6600Q_F12v114,C6600Q_F12v114,,,1.0.0,,categorical,,,,,Mother's smoking at 2 month,,,,,,False,,,,, +NFBC1966,core,C6600_F8V006,C6600_F8V006,,,1.0.0,,binary,,,,,Parturient's diseases: Thyreotoxicosis,,,,,,False,,,,, +NFBC1966,core,C6600_F8V031,C6600_F8V031,,,1.0.0,,binary,,,,,Has there been fever (over 38 degrees) during the pregnancy?,,,,,,False,,,,, +NFBC1966,core,C6600_F8V038,C6600_F8V038,,,1.0.0,,binary,,,,,Where there some of the following: Ablatio placenta,,,,,,False,,,,, +NFBC1966,core,C6600_F8V043,C6600_F8V043,,,1.0.0,,categorical,,,,,Mode of delivery,,,,,,False,,,,, +NFBC1966,core,C6600_F8V045,C6600_F8V045,,,1.0.0,,continuous,,,,,Apgar at age of 15 minutes,,,,,,False,,,,, +NFBC1966,core,C6600_F8V048,C6600_F8V048,,,1.0.0,,categorical,,,,,Did child has something clear congenital malformation?,,,,,,False,,,,, +NFBC1966,core,C6600_F8V050,C6600_F8V050,,,1.0.0,,binary,,,,,Was the child consigned to another medical unit straight away from maternity hospital? Newborn nursery,,,,,,False,,,,, +NFBC1966,core,C6600_F8V061,C6600_F8V061,,,1.0.0,,continuous,kg,,,,Weight at last visit in antenatal clinic,,,,,,False,,,,, +NFBC1966,core,C6600_F8V062,C6600_F8V062,,,1.0.0,,continuous,gram,,,,Weight at last visit in antenatal clinic,,,,,,False,,,,, +NFBC1966,core,C6600_F8V063,C6600_F8V063,,,1.0.0,,continuous,kg,,,,Mother's weight (when she came to hospital) (kilograms),,,,,,False,,,,, +NFBC1966,core,C6600_F8V064,C6600_F8V064,,,1.0.0,,continuous,gram,,,,"Mother's weight, when she came to hospital (grams)",,,,,,False,,,,, +NFBC1966,core,C6600_UURRHYLK,C6600_UURRHYLK,,,1.0.0,,categorical,,,,,Preeclampsia,,,,,,False,,,,, +NFBC1966,core,C6614Q_NTT_034,C6614Q_NTT_034,,,1.0.0,,continuous,,,,,How many children are there (or have there been) in your family? Children (14-year follow-up),,,,,,False,,,,, +NFBC1966,core,C6614Q_NTT_035,C6614Q_NTT_035,,,1.0.0,,continuous,,,,,Is someone from the children already living away from home? How many?,,,,,,False,,,,, +NFBC1966,core,C6614Q_NTT_036,C6614Q_NTT_036,,,1.0.0,,continuous,,,,,Is someone from the children died? How many?,,,,,,False,,,,, +NFBC1966,core,C6614Q_NTT_037,C6614Q_NTT_037,,,1.0.0,,categorical,,,,,My mother is (Mother alive at 14-year follow-up),,,,,,False,,,,, +NFBC1966,core,C6614Q_NTT_039,C6614Q_NTT_039,,,1.0.0,,categorical,,,,,Mother (is at work/at home at 14-year follow-up),,,,,,False,,,,, +NFBC1966,core,C6614Q_NTT_041,C6614Q_NTT_041,,,1.0.0,,categorical,,,,,My father is (Father alive at 14-year follow-up),,,,,,False,,,,, +NFBC1966,core,C6614Q_NTT_043,C6614Q_NTT_043,,,1.0.0,,categorical,,,,,Father (is at work at 14-year follow-up),,,,,,False,,,,, +NFBC1966,core,C6631C_ZT_017_1,C6631C_ZT_017_1,,,1.0.0,,categorical,,,,,"When you were under 7-years-old, did you have at home a cat? (asked at the 31-year follow-up)",,,,,,False,,,,, +NFBC1966,core,C6631C_ZT_017_2,C6631C_ZT_017_2,,,1.0.0,,categorical,,,,,"When you were under 7-years-old, did you have at home a dog ?(asked at the 31-year follow-up)",,,,,,False,,,,, +NFBC1966,core,C6631C_ZT_017_3,C6631C_ZT_017_3,,,1.0.0,,categorical,,,,,"When you were under 7-years-old, did you have any other hair or feathered animals?(asked at the 31-year follow-up)",,,,,,False,,,,, +NFBC1966,core,C66_age_years,C66_age_years,,,1.0.0,,continuous,year,,,,Age in years (in growth long data),,,,,,False,,,,, +NFBC1966,core,C66_height,C66_height,,,1.0.0,,continuous,cm,,,,Height (in growth long data),,,,,,False,,,,, +NFBC1966,core,C66_weight,C66_weight,,,1.0.0,,continuous,kg,,,,Weight (in growth long data),,,,,,False,,,,, +NFBC1966,core,Gender,Gender,,,1.0.0,,binary,,,,,Gender,,,,,,False,,,,, +NFBC1966,core,age_fdg12,age_fdg12,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg13,age_fdg13,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg14,age_fdg14,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg15,age_fdg15,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg16,age_fdg16,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg17,age_fdg17,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg18,age_fdg18,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg21,age_fdg21,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg22,age_fdg22,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg23,age_fdg23,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg27,age_fdg27,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg28,age_fdg28,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg32,age_fdg32,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg33,age_fdg33,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg4,age_fdg4,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg5,age_fdg5,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg6,age_fdg6,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg7,age_fdg7,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg8,age_fdg8,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_fdg9,age_fdg9,,,1.0.0,,continuous,year,,,,Age of the child when father got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg1,age_mdg1,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg10,age_mdg10,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg11,age_mdg11,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg12,age_mdg12,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg13,age_mdg13,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg14,age_mdg14,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg15,age_mdg15,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg23,age_mdg23,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg24,age_mdg24,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg25,age_mdg25,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg26,age_mdg26,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg27,age_mdg27,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +PELAGIE,BDD_ethers,MEAA,MEAA concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,,,False,,,,, +OOM,EUROCAT,consang,,,,2.2,,,,,,false,"CONSANGUINITY Restrictive definition of consanguinity: where the parents of the malformed case have one or more ancestors in common no more remote than a great-grandparent (=second cousins)",,"0 = Not related or relationship more distant than second cousin 1 = Relationship of second cousin or closer -9 = Not known,Table reference: EUROCAT",,, -NFBC1966,core,age_mdg28,age_mdg28,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg29,age_mdg29,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg3,age_mdg3,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg30,age_mdg30,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg31,age_mdg31,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg32,age_mdg32,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg33,age_mdg33,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg34,age_mdg34,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg35,age_mdg35,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg36,age_mdg36,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg37,age_mdg37,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg38,age_mdg38,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg39,age_mdg39,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg4,age_mdg4,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg5,age_mdg5,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg6,age_mdg6,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg7,age_mdg7,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg8,age_mdg8,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,age_mdg9,age_mdg9,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,, -NFBC1966,core,dg1,dg1,,,1.0.0,,binary,,,,,Cerepral palsy,,,,, -NFBC1966,core,ika_pv_aiti_kuoli,ika_pv_aiti_kuoli,,,1.0.0,,continuous,day,,,,Age of the child at the time of the mother's death,,,,, -NFBC1966,core,ika_pv_isa_kuoli,ika_pv_isa_kuoli,,,1.0.0,,continuous,day,,,,Age of the child at the time of the father's death,,,,, -NFBC1966,core,project_ID,project_ID,,,1.0.0,,string,,,,,Unique identifier number for the cohort participant,,,,, -NFBC1966,core,syntymakkvv,syntymakkvv,,,1.0.0,,continuous,,,,,Child's birth month and year,,,,, -NFBC1966,wave_01,C6646Q1_2,Do you live alone? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,Do you live alone? 46yr questionnaire,,"1,2,NA",,, -NFBC1966,wave_01,C6646Q1_2_2,Are there 0-6yr children living in the same household with you? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,Are there 0-6yr children living in the same household with you? 46yr questionnaire,,"1,2,NA",,, -NFBC1966,wave_01,C6646Q1_2_2_1,"Number of 0-6yr children in the same household, 46yr questionnaire",NFBC1966,46yr,1.0.0,,integer,,,,,"Number of 0-6yr children in the same household, 46yr questionnaire",,"1,2,3",,, -NFBC1966,wave_01,C6646Q1_2_3,Are there 7-18yr children living in the same household with you? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,Are there 7-18yr children living in the same household with you? 46yr questionnaire,,"1,2,NA",,, -NFBC1966,wave_01,C6646Q1_2_3_1,"Number of 7-18yr children in the same household, 46yr questionnaire",NFBC1966,46yr,1.0.0,,integer,,,,,"Number of 7-18yr children in the same household, 46yr questionnaire",,"1,2,3",,, -NFBC1966,wave_01,C6646Q2_1_9,Work situation at 46yr: Unemployed less than 0.5 years,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Unemployed less than 0.5 years,,"9,NA",,, -NFBC1966,wave_01,C6646Q1_2_4,Are there 19-64yr adults living in the same household with you? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,Are there 19-64yr adults living in the same household with you? 46yr questionnaire,,"1,2,NA",,, -PELAGIE,harmonized,AGGR_PRO_13,,,,1.0.0,,integer,,,,,,,,,, -NFBC1966,wave_01,C6646Q1_2_4_1,"Number of 19-64yr adults in the same household, 46yr questionnaire",NFBC1966,46yr,1.0.0,,integer,,,,,"Number of 19-64yr adults in the same household, 46yr questionnaire",,"1,2,3",,, -NFBC1966,wave_01,C6646Q1_2_5,Are there adults over 64yr living in the same household with you? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,Are there adults over 64yr living in the same household with you? 46yr questionnaire,,"1,2,NA",,, -NFBC1966,wave_01,C6646Q1_2_5_1,"Number of over 64yr adults in the same household, 46yr questionnaire",NFBC1966,46yr,1.0.0,,integer,,,,,"Number of over 64yr adults in the same household, 46yr questionnaire",,"1,2,3",,, -NFBC1966,wave_01,C6646Q1_39,Have you ever smoked? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,Have you ever smoked? 46yr questionnaire,,"1,2",,, -NFBC1966,wave_01,C6646Q1_4,Basic education at 46yr,NFBC1966,46yr,1.0.0,,categorical,,,,,Basic education at 46yr,,"1,2,3",,, -NFBC1966,wave_01,C6646Q1_40,"Have you ever smoked egularly (one cigarette, cigar, mini-cigar or pipeful nearly every day for at least a year)? 46yr questionnaire",NFBC1966,46yr,1.0.0,,categorical,,,,,"Have you ever smoked egularly (one cigarette, cigar, mini-cigar or pipeful nearly every day for at least a year)? 46yr questionnaire",,"1,2",,, -NFBC1966,wave_01,C6646Q1_41,How old were you when to gave up smoking? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,How old were you when to gave up smoking? 46yr questionnaire,,"8,9,10",,, -NFBC1966,wave_01,C6646Q1_5,Occupational education at 46yr,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational education at 46yr,,"1,2,3",,, -NFBC1966,wave_01,C6646Q2_1_1,Work situation at 46yr: Permanent full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Permanent full-time job,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_1_10,Work situation at 46yr: Unemployed less than 0.5 - 1 years,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Unemployed less than 0.5 - 1 years,,"10,NA",,, -NFBC1966,wave_01,C6646Q2_1_11,Work situation at 46yr: Unemployed less than more than 1 year,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Unemployed less than more than 1 year,,"11,NA",,, -NFBC1966,wave_01,C6646Q2_1_12,Work situation at 46yr: Vocational training course or relief work,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Vocational training course or relief work,,"12,NA",,, -NFBC1966,wave_01,C6646Q2_1_13,Work situation at 46yr: Laid off temporarily or reduced working hours,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Laid off temporarily or reduced working hours,,"13,NA",,, -NFBC1966,wave_01,C6646Q2_1_14,"Work situation at 46yr: Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Work situation at 46yr: Maternity/parental leave, child care leave",,"14,NA",,, -NFBC1966,wave_01,C6646Q2_1_15,Work situation at 46yr: Retired,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Retired,,"15,NA",,, -NFBC1966,wave_01,C6646Q2_1_16,Work situation at 46yr: Domestic tasks,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Domestic tasks,,"16,NA",,, -NFBC1966,wave_01,C6646Q2_1_17,Work situation at 46yr: Other,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Other,,"17,NA",,, -NFBC1966,wave_01,C6646Q2_1_2,Work situation at 46yr: Permanent part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Permanent part-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_1_3,Work situation at 46yr: Fixed-term full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Fixed-term full-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_1_4,Work situation at 46yr: Fixed-term part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Fixed-term part-time job,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_1_5,Work situation at 46yr: Full-time self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Full-time self-employed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_1_6,Work situation at 46yr: Part-time self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Part-time self-employed,,"6,NA",,, -NFBC1966,wave_01,C6646Q2_1_7,Work situation at 46yr: Full-time student,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Full-time student,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_1_8,Work situation at 46yr: Part-time student,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Part-time student,,"8,NA",,, -PELAGIE,harmonized,AGGR_PRO_2,,,,1.0.0,,integer,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_41,"Household income before taxes last year, 46yr questionnaire",NFBC1966,46yr,1.0.0,,continuous,eur,,,,"Household income before taxes last year, 46yr questionnaire",,60000,,, -NFBC1966,wave_01,C6646Q2_5_00_1,Occupational status in 2000 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2000 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_00_2,Occupational status in 2000 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2000 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_00_3,Occupational status in 2000 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2000 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_00_4,Occupational status in 2000 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2000 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_00_5,Occupational status in 2000 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2000 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_00_6,"Occupational status in 2000 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2000 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_00_7,Occupational status in 2000 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2000 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_01_1,Occupational status in 2001 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2001 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_01_2,Occupational status in 2001 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2001 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_01_3,Occupational status in 2001 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2001 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -PELAGIE,harmonized,ASTHMA_MED_7,,,,1.0.0,,categorical,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_01_4,Occupational status in 2001 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2001 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_01_5,Occupational status in 2001 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2001 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_01_6,"Occupational status in 2001 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2001 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_01_7,Occupational status in 2001 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2001 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_02_1,Occupational status in 2002 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2002 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_02_2,Occupational status in 2002 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2002 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_02_3,Occupational status in 2002 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2002 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_02_4,Occupational status in 2002 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2002 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_02_5,Occupational status in 2002 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2002 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_02_6,"Occupational status in 2002 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2002 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,ZP15,Work situation at 31yr,NFBC1966,31yr,1.0.0,,categorical,,,,,Work situation at 31yr,,"1,2,3",,, -NFBC1966,wave_01,C6646Q2_5_02_7,Occupational status in 2002 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2002 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_03_1,Occupational status in 2003 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2003 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_03_2,Occupational status in 2003 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2003 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_03_3,Occupational status in 2003 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2003 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_03_4,Occupational status in 2003 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2003 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_03_5,Occupational status in 2003 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2003 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,ZP07,Occupational education at 31yr,NFBC1966,31yr,1.0.0,,categorical,,,,,Occupational education at 31yr,,"1,2,3",,, -NFBC1966,wave_01,C6646Q2_5_03_6,"Occupational status in 2003 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2003 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_03_7,Occupational status in 2003 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2003 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_04_1,Occupational status in 2004 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2004 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_04_2,Occupational status in 2004 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2004 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_04_3,Occupational status in 2004 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2004 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_04_4,Occupational status in 2004 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2004 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_04_5,Occupational status in 2004 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2004 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_04_6,"Occupational status in 2004 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2004 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_04_7,Occupational status in 2004 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2004 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_05_1,Occupational status in 2005 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2005 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_05_2,Occupational status in 2005 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2005 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_05_3,Occupational status in 2005 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2005 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_05_4,Occupational status in 2005 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2005 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -PELAGIE,BDD_ethers,MEAA_ENFANT,MAA concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_05_5,Occupational status in 2005 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2005 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -PELAGIE,harmonized,ADHD_WAVE_1,,,,1.0.0,,integer,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_05_6,"Occupational status in 2005 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2005 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -PELAGIE,harmonized,AGGR_PRO_5,,,,1.0.0,,integer,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_05_7,Occupational status in 2005 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2005 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_06_1,Occupational status in 2006 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2006 (asked in 46yr questionnaire): Student,,"1,NA",,, -OOM_CDM,EUROCAT,datemo,,,,2.2,,,,,,false,"DATE OF BIRTH OF MOTHER +9 = Not known,Table reference: EUROCAT",,,,False,,,,, +NFBC1966,core,age_mdg28,age_mdg28,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg29,age_mdg29,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg3,age_mdg3,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg30,age_mdg30,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg31,age_mdg31,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg32,age_mdg32,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg33,age_mdg33,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg34,age_mdg34,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg35,age_mdg35,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg36,age_mdg36,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg37,age_mdg37,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg38,age_mdg38,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg39,age_mdg39,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg4,age_mdg4,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg5,age_mdg5,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg6,age_mdg6,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg7,age_mdg7,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg8,age_mdg8,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,age_mdg9,age_mdg9,,,1.0.0,,continuous,year,,,,Age of child when mother got the diagnosis of mental disorder,,,,,,False,,,,, +NFBC1966,core,dg1,dg1,,,1.0.0,,binary,,,,,Cerepral palsy,,,,,,False,,,,, +NFBC1966,core,ika_pv_aiti_kuoli,ika_pv_aiti_kuoli,,,1.0.0,,continuous,day,,,,Age of the child at the time of the mother's death,,,,,,False,,,,, +NFBC1966,core,ika_pv_isa_kuoli,ika_pv_isa_kuoli,,,1.0.0,,continuous,day,,,,Age of the child at the time of the father's death,,,,,,False,,,,, +NFBC1966,core,project_ID,project_ID,,,1.0.0,,string,,,,,Unique identifier number for the cohort participant,,,,,,False,,,,, +NFBC1966,core,syntymakkvv,syntymakkvv,,,1.0.0,,continuous,,,,,Child's birth month and year,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q1_2,Do you live alone? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,Do you live alone? 46yr questionnaire,,"1,2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q1_2_2,Are there 0-6yr children living in the same household with you? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,Are there 0-6yr children living in the same household with you? 46yr questionnaire,,"1,2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q1_2_2_1,"Number of 0-6yr children in the same household, 46yr questionnaire",NFBC1966,46yr,1.0.0,,integer,,,,,"Number of 0-6yr children in the same household, 46yr questionnaire",,"1,2,3",,,,False,,,,, +NFBC1966,wave_01,C6646Q1_2_3,Are there 7-18yr children living in the same household with you? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,Are there 7-18yr children living in the same household with you? 46yr questionnaire,,"1,2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q1_2_3_1,"Number of 7-18yr children in the same household, 46yr questionnaire",NFBC1966,46yr,1.0.0,,integer,,,,,"Number of 7-18yr children in the same household, 46yr questionnaire",,"1,2,3",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_9,Work situation at 46yr: Unemployed less than 0.5 years,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Unemployed less than 0.5 years,,"9,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q1_2_4,Are there 19-64yr adults living in the same household with you? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,Are there 19-64yr adults living in the same household with you? 46yr questionnaire,,"1,2,NA",,,,False,,,,, +PELAGIE,harmonized,AGGR_PRO_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q1_2_4_1,"Number of 19-64yr adults in the same household, 46yr questionnaire",NFBC1966,46yr,1.0.0,,integer,,,,,"Number of 19-64yr adults in the same household, 46yr questionnaire",,"1,2,3",,,,False,,,,, +NFBC1966,wave_01,C6646Q1_2_5,Are there adults over 64yr living in the same household with you? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,Are there adults over 64yr living in the same household with you? 46yr questionnaire,,"1,2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q1_2_5_1,"Number of over 64yr adults in the same household, 46yr questionnaire",NFBC1966,46yr,1.0.0,,integer,,,,,"Number of over 64yr adults in the same household, 46yr questionnaire",,"1,2,3",,,,False,,,,, +NFBC1966,wave_01,C6646Q1_39,Have you ever smoked? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,Have you ever smoked? 46yr questionnaire,,"1,2",,,,False,,,,, +NFBC1966,wave_01,C6646Q1_4,Basic education at 46yr,NFBC1966,46yr,1.0.0,,categorical,,,,,Basic education at 46yr,,"1,2,3",,,,False,,,,, +NFBC1966,wave_01,C6646Q1_40,"Have you ever smoked egularly (one cigarette, cigar, mini-cigar or pipeful nearly every day for at least a year)? 46yr questionnaire",NFBC1966,46yr,1.0.0,,categorical,,,,,"Have you ever smoked egularly (one cigarette, cigar, mini-cigar or pipeful nearly every day for at least a year)? 46yr questionnaire",,"1,2",,,,False,,,,, +NFBC1966,wave_01,C6646Q1_41,How old were you when to gave up smoking? 46yr questionnaire,NFBC1966,46yr,1.0.0,,categorical,,,,,How old were you when to gave up smoking? 46yr questionnaire,,"8,9,10",,,,False,,,,, +NFBC1966,wave_01,C6646Q1_5,Occupational education at 46yr,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational education at 46yr,,"1,2,3",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_1,Work situation at 46yr: Permanent full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Permanent full-time job,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_10,Work situation at 46yr: Unemployed less than 0.5 - 1 years,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Unemployed less than 0.5 - 1 years,,"10,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_11,Work situation at 46yr: Unemployed less than more than 1 year,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Unemployed less than more than 1 year,,"11,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_12,Work situation at 46yr: Vocational training course or relief work,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Vocational training course or relief work,,"12,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_13,Work situation at 46yr: Laid off temporarily or reduced working hours,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Laid off temporarily or reduced working hours,,"13,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_14,"Work situation at 46yr: Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Work situation at 46yr: Maternity/parental leave, child care leave",,"14,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_15,Work situation at 46yr: Retired,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Retired,,"15,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_16,Work situation at 46yr: Domestic tasks,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Domestic tasks,,"16,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_17,Work situation at 46yr: Other,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Other,,"17,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_2,Work situation at 46yr: Permanent part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Permanent part-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_3,Work situation at 46yr: Fixed-term full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Fixed-term full-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_4,Work situation at 46yr: Fixed-term part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Fixed-term part-time job,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_5,Work situation at 46yr: Full-time self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Full-time self-employed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_6,Work situation at 46yr: Part-time self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Part-time self-employed,,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_7,Work situation at 46yr: Full-time student,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Full-time student,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_1_8,Work situation at 46yr: Part-time student,NFBC1966,46yr,1.0.0,,categorical,,,,,Work situation at 46yr: Part-time student,,"8,NA",,,,False,,,,, +PELAGIE,harmonized,AGGR_PRO_2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_41,"Household income before taxes last year, 46yr questionnaire",NFBC1966,46yr,1.0.0,,continuous,eur,,,,"Household income before taxes last year, 46yr questionnaire",,60000,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_00_1,Occupational status in 2000 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2000 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_00_2,Occupational status in 2000 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2000 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_00_3,Occupational status in 2000 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2000 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_00_4,Occupational status in 2000 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2000 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_00_5,Occupational status in 2000 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2000 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_00_6,"Occupational status in 2000 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2000 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_00_7,Occupational status in 2000 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2000 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_01_1,Occupational status in 2001 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2001 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_01_2,Occupational status in 2001 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2001 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_01_3,Occupational status in 2001 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2001 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +PELAGIE,harmonized,ASTHMA_MED_7,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_01_4,Occupational status in 2001 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2001 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_01_5,Occupational status in 2001 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2001 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_01_6,"Occupational status in 2001 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2001 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_01_7,Occupational status in 2001 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2001 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_02_1,Occupational status in 2002 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2002 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_02_2,Occupational status in 2002 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2002 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_02_3,Occupational status in 2002 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2002 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_02_4,Occupational status in 2002 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2002 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_02_5,Occupational status in 2002 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2002 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_02_6,"Occupational status in 2002 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2002 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,ZP15,Work situation at 31yr,NFBC1966,31yr,1.0.0,,categorical,,,,,Work situation at 31yr,,"1,2,3",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_02_7,Occupational status in 2002 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2002 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_03_1,Occupational status in 2003 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2003 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_03_2,Occupational status in 2003 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2003 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_03_3,Occupational status in 2003 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2003 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_03_4,Occupational status in 2003 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2003 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_03_5,Occupational status in 2003 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2003 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,ZP07,Occupational education at 31yr,NFBC1966,31yr,1.0.0,,categorical,,,,,Occupational education at 31yr,,"1,2,3",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_03_6,"Occupational status in 2003 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2003 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +PELAGIE,harmonized,ADHD_PRO_7,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_03_7,Occupational status in 2003 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2003 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_04_1,Occupational status in 2004 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2004 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_04_2,Occupational status in 2004 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2004 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_04_3,Occupational status in 2004 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2004 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_04_4,Occupational status in 2004 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2004 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_04_5,Occupational status in 2004 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2004 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_04_6,"Occupational status in 2004 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2004 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_04_7,Occupational status in 2004 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2004 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_05_1,Occupational status in 2005 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2005 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_05_2,Occupational status in 2005 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2005 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_05_3,Occupational status in 2005 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2005 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_05_4,Occupational status in 2005 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2005 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +PELAGIE,BDD_ethers,MEAA_ENFANT,MAA concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_05_5,Occupational status in 2005 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2005 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +PELAGIE,harmonized,ADHD_WAVE_1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_05_6,"Occupational status in 2005 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2005 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +PELAGIE,harmonized,AGGR_PRO_5,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_05_7,Occupational status in 2005 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2005 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_06_1,Occupational status in 2006 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2006 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +OOM,EUROCAT,datemo,,,,2.2,,,,,,false,"DATE OF BIRTH OF MOTHER Give as much information as is known eg. Feb 1963 = 990263, 1963 = 999963. Please enter dates as a numeric string, not in date format (eg. do not use 28/02/89 or 28-02-89, instead use 280289). This variable can be used to calculate maternal age at Expected Date of Delivery for preterm deliveries and terminations.",,"Table reference: EUROCAT Day,month,year 99 = Not known day or month -44 = Not known year",,, -NFBC1966,wave_01,C6646Q2_5_06_2,Occupational status in 2006 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2006 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_06_3,Occupational status in 2006 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2006 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_06_4,Occupational status in 2006 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2006 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_06_5,Occupational status in 2006 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2006 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_06_6,"Occupational status in 2006 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2006 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_06_7,Occupational status in 2006 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2006 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_07_1,Occupational status in 2007 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2007 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_07_2,Occupational status in 2007 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2007 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_07_3,Occupational status in 2007 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2007 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_07_4,Occupational status in 2007 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2007 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_07_5,Occupational status in 2007 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2007 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_07_6,"Occupational status in 2007 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2007 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_07_7,Occupational status in 2007 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2007 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_08_1,Occupational status in 2008 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2008 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_08_2,Occupational status in 2008 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2008 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -PELAGIE,BDD_ethers,MPA,2-MPA concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_08_3,Occupational status in 2008 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2008 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_08_4,Occupational status in 2008 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2008 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_08_5,Occupational status in 2008 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2008 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_08_6,"Occupational status in 2008 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2008 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_08_7,Occupational status in 2008 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2008 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_09_1,Occupational status in 2009 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2009 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_09_2,Occupational status in 2009 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2009 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_09_3,Occupational status in 2009 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2009 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_09_4,Occupational status in 2009 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2009 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_09_5,Occupational status in 2009 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2009 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_09_6,"Occupational status in 2009 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2009 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -PELAGIE,BDD_OP,CREATININE_TOT,Creatinine concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_09_7,Occupational status in 2009 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2009 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_10_1,Occupational status in 2010 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2010 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_10_2,Occupational status in 2010 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2010 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_10_3,Occupational status in 2010 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2010 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_10_4,Occupational status in 2010 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2010 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_10_5,Occupational status in 2010 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2010 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_10_6,"Occupational status in 2010 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2010 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_10_7,Occupational status in 2010 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2010 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_83_5,Occupational status in 1983 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1983 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_83_6,"Occupational status in 1983 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1983 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -PELAGIE,BDD_ethers,MPA_ENFANT,2-MPA Concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -OOM_CDM,EUROCAT,nbrbaby,,,,2.2,,,,,,true,"NUMBER OF BABIES/FETUSES DELIVERED +44 = Not known year",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_06_2,Occupational status in 2006 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2006 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_06_3,Occupational status in 2006 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2006 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_06_4,Occupational status in 2006 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2006 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_06_5,Occupational status in 2006 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2006 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_06_6,"Occupational status in 2006 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2006 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_06_7,Occupational status in 2006 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2006 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_07_1,Occupational status in 2007 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2007 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_07_2,Occupational status in 2007 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2007 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_07_3,Occupational status in 2007 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2007 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_07_4,Occupational status in 2007 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2007 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_07_5,Occupational status in 2007 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2007 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_07_6,"Occupational status in 2007 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2007 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_07_7,Occupational status in 2007 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2007 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_08_1,Occupational status in 2008 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2008 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_08_2,Occupational status in 2008 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2008 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +PELAGIE,BDD_ethers,MPA,2-MPA concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_08_3,Occupational status in 2008 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2008 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_08_4,Occupational status in 2008 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2008 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_08_5,Occupational status in 2008 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2008 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_08_6,"Occupational status in 2008 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2008 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_08_7,Occupational status in 2008 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2008 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_09_1,Occupational status in 2009 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2009 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_09_2,Occupational status in 2009 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2009 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_09_3,Occupational status in 2009 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2009 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +PELAGIE,harmonized,ADHD_EVAL_1,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_09_4,Occupational status in 2009 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2009 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_09_5,Occupational status in 2009 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2009 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_09_6,"Occupational status in 2009 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2009 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +PELAGIE,BDD_OP,CREATININE_TOT,Creatinine concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_09_7,Occupational status in 2009 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2009 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_10_1,Occupational status in 2010 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2010 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_10_2,Occupational status in 2010 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2010 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_10_3,Occupational status in 2010 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2010 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_10_4,Occupational status in 2010 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2010 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_10_5,Occupational status in 2010 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2010 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_10_6,"Occupational status in 2010 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2010 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_10_7,Occupational status in 2010 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2010 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_83_5,Occupational status in 1983 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1983 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_83_6,"Occupational status in 1983 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1983 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +PELAGIE,BDD_ethers,MPA_ENFANT,2-MPA Concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +OOM,EUROCAT,nbrbaby,,,,2.2,,,,,,true,"NUMBER OF BABIES/FETUSES DELIVERED Fill out a separate form for each malformed baby/fetus in a multiple set. Only one form to be completed for conjoined twins (Siamese). The code is “2” for a conjoined twin, unless another baby was delivered at the same time (code “3”). Conjoined twins have a specific ICD/BPA code, to be coded under “syndrome” (variable 27). Give full description of type of conjoined twinning in syndrome text field (variables 28). @@ -1585,110 +2677,112 @@ Notes. If code 8 is used, please specify in variable sp_twin the gestational age 6 = Sextuplets or more 7 = Multiple birth,number of babies not known 8 = Singleton at time of delivery/termination,but known to have been a multiple pregnancy at an earlier stage in pregnancy -9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -NFBC1966,wave_01,C6646Q2_5_11_1,Occupational status in 2011 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2011 (asked in 46yr questionnaire): Student,,"1,NA",,, -PELAGIE,harmonized,AGEBIRTH_P_Y,,,,1.0.0,,integer,year,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_11_2,Occupational status in 2011 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2011 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -PELAGIE,harmonized,AGGR_PRO_6,,,,1.0.0,,integer,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_11_3,Occupational status in 2011 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2011 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_11_4,Occupational status in 2011 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2011 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_11_5,Occupational status in 2011 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2011 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_11_6,"Occupational status in 2011 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2011 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_11_7,Occupational status in 2011 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2011 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_82_1,Occupational status in 1982 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1982 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_82_2,Occupational status in 1982 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1982 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_82_3,Occupational status in 1982 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1982 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_82_4,Occupational status in 1982 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1982 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_82_5,Occupational status in 1982 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1982 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_82_6,"Occupational status in 1982 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1982 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_82_7,Occupational status in 1982 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1982 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_83_1,Occupational status in 1983 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1983 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_83_2,Occupational status in 1983 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1983 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_83_3,Occupational status in 1983 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1983 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -PELAGIE,harmonized,ASD_PRO_11,,,,1.0.0,,integer,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_83_4,Occupational status in 1983 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1983 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -PELAGIE,BDD_OP,DETP,Diethyl thiophosphate concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_OP,DMDTP,Dimethylphosphorodithidate concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_83_7,Occupational status in 1983 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1983 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_84_1,Occupational status in 1984 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1984 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_84_2,Occupational status in 1984 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1984 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_84_3,Occupational status in 1984 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1984 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_84_4,Occupational status in 1984 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1984 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_84_5,Occupational status in 1984 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1984 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_84_6,"Occupational status in 1984 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1984 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_84_7,Occupational status in 1984 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1984 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_85_1,Occupational status in 1985 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1985 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_85_2,Occupational status in 1985 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1985 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -PELAGIE,harmonized,ATT_COM_STD_6,,,,1.0.0,,integer,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_85_3,Occupational status in 1985 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1985 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_85_4,Occupational status in 1985 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1985 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_85_5,Occupational status in 1985 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1985 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_85_6,"Occupational status in 1985 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1985 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -PELAGIE,harmonized,ASTHMA_5,,,,1.0.0,,categorical,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_85_7,Occupational status in 1985 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1985 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_86_1,Occupational status in 1986 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1986 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_86_2,Occupational status in 1986 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1986 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_86_3,Occupational status in 1986 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1986 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_86_4,Occupational status in 1986 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1986 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_86_5,Occupational status in 1986 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1986 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_86_6,"Occupational status in 1986 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1986 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -PELAGIE,BDD_OP,DMP,Dimethylphosphate concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_OP,DMTP,Dimethylthiophosphate concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_OP,CHILDCHLORPYRIFOS,chlorpyrifosconcentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_86_7,Occupational status in 1986 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1986 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_87_1,Occupational status in 1987 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1987 (asked in 46yr questionnaire): Student,,"1,NA",,, -PELAGIE,BDD_OP,CHILDDMTP,Dimethylthiophosphate concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_87_2,Occupational status in 1987 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1987 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_87_3,Occupational status in 1987 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1987 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_87_4,Occupational status in 1987 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1987 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_87_5,Occupational status in 1987 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1987 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -PELAGIE,BDD_OP,DEDTP,Diethyldithiophosphate concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_87_6,"Occupational status in 1987 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1987 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_87_7,Occupational status in 1987 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1987 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_88_1,Occupational status in 1988 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1988 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_88_2,Occupational status in 1988 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1988 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -PELAGIE,harmonized,ASTHMA_6,,,,1.0.0,,categorical,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_88_3,Occupational status in 1988 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1988 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_88_4,Occupational status in 1988 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1988 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_88_5,Occupational status in 1988 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1988 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_88_6,"Occupational status in 1988 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1988 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_88_7,Occupational status in 1988 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1988 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_89_1,Occupational status in 1989 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1989 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_89_2,Occupational status in 1989 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1989 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_89_3,Occupational status in 1989 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1989 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_89_4,Occupational status in 1989 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1989 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_89_5,Occupational status in 1989 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1989 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -PELAGIE,harmonized,ADHD_PRO_2,,,,1.0.0,,integer,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_89_6,"Occupational status in 1989 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1989 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -PELAGIE,BDD_OP,SERIE,To which series does dosage belong,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,BDD_OP,SGURINEF,Gestational age at th etime of urine collection,,,1.0.0,,integer,week,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_89_7,Occupational status in 1989 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1989 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_90_1,Occupational status in 1990 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1990 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_90_2,Occupational status in 1990 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1990 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_90_3,Occupational status in 1990 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1990 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_90_4,Occupational status in 1990 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1990 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_90_5,Occupational status in 1990 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1990 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -PELAGIE,harmonized,ASTHMA_7,,,,1.0.0,,categorical,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_90_6,"Occupational status in 1990 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1990 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_90_7,Occupational status in 1990 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1990 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_91_1,Occupational status in 1991 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1991 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_91_2,Occupational status in 1991 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1991 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_91_3,Occupational status in 1991 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1991 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_91_4,Occupational status in 1991 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1991 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_91_5,Occupational status in 1991 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1991 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_91_6,"Occupational status in 1991 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1991 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_91_7,Occupational status in 1991 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1991 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_92_1,Occupational status in 1992 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1992 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_92_2,Occupational status in 1992 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1992 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_92_3,Occupational status in 1992 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1992 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_92_4,Occupational status in 1992 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1992 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_92_5,Occupational status in 1992 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1992 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_92_6,"Occupational status in 1992 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1992 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -PELAGIE,BDD_cotinine,CHILDCOTININE,Cotinine concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_cotinine,COTININE,Cotinine concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_92_7,Occupational status in 1992 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1992 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_93_1,Occupational status in 1993 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1993 (asked in 46yr questionnaire): Student,,"1,NA",,, -OOM_CDM,EUROCAT,nbrmalf,,,,2.2,,,,,,true,"NUMBER OF MALFORMED IN MULTIPLE SET +9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_11_1,Occupational status in 2011 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2011 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +PELAGIE,harmonized,AGEBIRTH_P_Y,,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_11_2,Occupational status in 2011 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2011 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +PELAGIE,harmonized,AGGR_PRO_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_11_3,Occupational status in 2011 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2011 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_11_4,Occupational status in 2011 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2011 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_11_5,Occupational status in 2011 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2011 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_11_6,"Occupational status in 2011 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 2011 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_11_7,Occupational status in 2011 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 2011 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_82_1,Occupational status in 1982 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1982 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_82_2,Occupational status in 1982 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1982 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_82_3,Occupational status in 1982 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1982 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_82_4,Occupational status in 1982 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1982 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_82_5,Occupational status in 1982 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1982 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_82_6,"Occupational status in 1982 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1982 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_82_7,Occupational status in 1982 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1982 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_83_1,Occupational status in 1983 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1983 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_83_2,Occupational status in 1983 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1983 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_83_3,Occupational status in 1983 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1983 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +PELAGIE,harmonized,ASD_PRO_11,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_83_4,Occupational status in 1983 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1983 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +PELAGIE,BDD_OP,DETP,Diethyl thiophosphate concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_OP,DMDTP,Dimethylphosphorodithidate concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_83_7,Occupational status in 1983 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1983 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_84_1,Occupational status in 1984 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1984 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_84_2,Occupational status in 1984 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1984 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_84_3,Occupational status in 1984 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1984 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_84_4,Occupational status in 1984 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1984 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_84_5,Occupational status in 1984 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1984 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_84_6,"Occupational status in 1984 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1984 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_84_7,Occupational status in 1984 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1984 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_85_1,Occupational status in 1985 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1985 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_85_2,Occupational status in 1985 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1985 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +PELAGIE,harmonized,ATT_COM_STD_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_85_3,Occupational status in 1985 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1985 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_85_4,Occupational status in 1985 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1985 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_85_5,Occupational status in 1985 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1985 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_85_6,"Occupational status in 1985 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1985 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +PELAGIE,harmonized,ASTHMA_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_85_7,Occupational status in 1985 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1985 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_86_1,Occupational status in 1986 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1986 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_86_2,Occupational status in 1986 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1986 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_86_3,Occupational status in 1986 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1986 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_86_4,Occupational status in 1986 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1986 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_86_5,Occupational status in 1986 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1986 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_86_6,"Occupational status in 1986 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1986 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +PELAGIE,BDD_OP,DMP,Dimethylphosphate concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_OP,DMTP,Dimethylthiophosphate concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_OP,CHILDCHLORPYRIFOS,chlorpyrifosconcentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_86_7,Occupational status in 1986 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1986 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_87_1,Occupational status in 1987 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1987 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,ZP79,Have you ever smoked? 31yr questionnaire,NFBC1966,31yr,1.0.0,,categorical,,,,,Have you ever smoked? 31yr questionnaire,,"1,2",,,,False,,,,, +PELAGIE,BDD_OP,CHILDDMTP,Dimethylthiophosphate concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_87_2,Occupational status in 1987 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1987 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_87_3,Occupational status in 1987 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1987 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_87_4,Occupational status in 1987 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1987 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_87_5,Occupational status in 1987 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1987 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +PELAGIE,BDD_OP,DEDTP,Diethyldithiophosphate concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_87_6,"Occupational status in 1987 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1987 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_87_7,Occupational status in 1987 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1987 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_88_1,Occupational status in 1988 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1988 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_88_2,Occupational status in 1988 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1988 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +PELAGIE,harmonized,ASTHMA_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_88_3,Occupational status in 1988 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1988 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_88_4,Occupational status in 1988 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1988 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_88_5,Occupational status in 1988 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1988 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_88_6,"Occupational status in 1988 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1988 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_88_7,Occupational status in 1988 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1988 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_89_1,Occupational status in 1989 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1989 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_89_2,Occupational status in 1989 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1989 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_89_3,Occupational status in 1989 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1989 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_89_4,Occupational status in 1989 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1989 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_89_5,Occupational status in 1989 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1989 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +PELAGIE,harmonized,ADHD_PRO_2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,BP_F,Bisphneol F concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_89_6,"Occupational status in 1989 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1989 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +PELAGIE,BDD_OP,SERIE,To which series does dosage belong,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,BDD_OP,SGURINEF,Gestational age at th etime of urine collection,,,1.0.0,,integer,week,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_89_7,Occupational status in 1989 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1989 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_90_1,Occupational status in 1990 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1990 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_90_2,Occupational status in 1990 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1990 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_90_3,Occupational status in 1990 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1990 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_90_4,Occupational status in 1990 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1990 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_90_5,Occupational status in 1990 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1990 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +PELAGIE,harmonized,ASTHMA_7,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_90_6,"Occupational status in 1990 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1990 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_90_7,Occupational status in 1990 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1990 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_91_1,Occupational status in 1991 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1991 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_91_2,Occupational status in 1991 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1991 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_91_3,Occupational status in 1991 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1991 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_91_4,Occupational status in 1991 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1991 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_91_5,Occupational status in 1991 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1991 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_91_6,"Occupational status in 1991 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1991 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_91_7,Occupational status in 1991 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1991 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_92_1,Occupational status in 1992 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1992 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_92_2,Occupational status in 1992 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1992 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_92_3,Occupational status in 1992 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1992 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_92_4,Occupational status in 1992 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1992 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_92_5,Occupational status in 1992 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1992 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_92_6,"Occupational status in 1992 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1992 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +PELAGIE,BDD_cotinine,CHILDCOTININE,Cotinine concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_cotinine,COTININE,Cotinine concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_92_7,Occupational status in 1992 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1992 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_93_1,Occupational status in 1993 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1993 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +OOM,EUROCAT,nbrmalf,,,,2.2,,,,,,true,"NUMBER OF MALFORMED IN MULTIPLE SET To be completed for multiple delivery only. Complete one form for each malformed baby in a multiple set. @@ -1698,541 +2792,555 @@ Remember to give local ID of co-twin in SIB1 field (variable 69) if more than on 4 = Four 5 = Five 6 = Six or more -9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -NFBC1966,wave_01,C6646Q2_5_93_2,Occupational status in 1993 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1993 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_93_3,Occupational status in 1993 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1993 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_93_4,Occupational status in 1993 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1993 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_93_5,Occupational status in 1993 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1993 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_93_6,"Occupational status in 1993 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1993 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_93_7,Occupational status in 1993 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1993 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_94_1,Occupational status in 1994 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1994 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_94_2,Occupational status in 1994 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1994 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_94_3,Occupational status in 1994 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1994 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_94_4,Occupational status in 1994 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1994 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_94_5,Occupational status in 1994 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1994 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_94_6,"Occupational status in 1994 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1994 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_94_7,Occupational status in 1994 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1994 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_95_1,Occupational status in 1995 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1995 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_95_2,Occupational status in 1995 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1995 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -PELAGIE,harmonized,ADHD_PRO_5,,,,1.0.0,,integer,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_95_3,Occupational status in 1995 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1995 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_95_4,Occupational status in 1995 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1995 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -PELAGIE,harmonized,ASTHMA_MED_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,BDD_cotinine,SGURINEF,Gestational age at th etime of urine collection,,,1.0.0,,integer,week,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_95_5,Occupational status in 1995 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1995 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -PELAGIE,harmonized,AGGR_PRO_7,,,,1.0.0,,integer,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_95_6,"Occupational status in 1995 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1995 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_95_7,Occupational status in 1995 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1995 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_96_1,Occupational status in 1996 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1996 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_96_2,Occupational status in 1996 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1996 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_96_3,Occupational status in 1996 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1996 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_96_4,Occupational status in 1996 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1996 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_96_5,Occupational status in 1996 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1996 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_96_6,"Occupational status in 1996 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1996 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_96_7,Occupational status in 1996 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1996 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_97_1,Occupational status in 1997 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1997 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_97_2,Occupational status in 1997 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1997 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_97_3,Occupational status in 1997 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1997 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_97_4,Occupational status in 1997 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1997 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_97_5,Occupational status in 1997 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1997 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_97_6,"Occupational status in 1997 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1997 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_97_7,Occupational status in 1997 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1997 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -OOM_CDM,EUROCAT,numloc,,,,2.2,,,,,,true,"LOCAL ID +9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_93_2,Occupational status in 1993 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1993 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_93_3,Occupational status in 1993 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1993 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_93_4,Occupational status in 1993 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1993 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_93_5,Occupational status in 1993 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1993 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_93_6,"Occupational status in 1993 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1993 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_93_7,Occupational status in 1993 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1993 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_94_1,Occupational status in 1994 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1994 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_94_2,Occupational status in 1994 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1994 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_94_3,Occupational status in 1994 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1994 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_94_4,Occupational status in 1994 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1994 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_94_5,Occupational status in 1994 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1994 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_94_6,"Occupational status in 1994 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1994 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_94_7,Occupational status in 1994 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1994 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_95_1,Occupational status in 1995 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1995 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_95_2,Occupational status in 1995 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1995 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +PELAGIE,harmonized,ADHD_PRO_5,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_95_3,Occupational status in 1995 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1995 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_95_4,Occupational status in 1995 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1995 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +PELAGIE,harmonized,ASTHMA_MED_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,BDD_cotinine,SGURINEF,Gestational age at th etime of urine collection,,,1.0.0,,integer,week,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_95_5,Occupational status in 1995 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1995 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +PELAGIE,harmonized,AGGR_PRO_7,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_95_6,"Occupational status in 1995 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1995 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_95_7,Occupational status in 1995 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1995 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_96_1,Occupational status in 1996 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1996 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_96_2,Occupational status in 1996 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1996 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_96_3,Occupational status in 1996 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1996 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_96_4,Occupational status in 1996 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1996 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_96_5,Occupational status in 1996 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1996 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_96_6,"Occupational status in 1996 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1996 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_96_7,Occupational status in 1996 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1996 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_97_1,Occupational status in 1997 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1997 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_97_2,Occupational status in 1997 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1997 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_97_3,Occupational status in 1997 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1997 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_97_4,Occupational status in 1997 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1997 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_97_5,Occupational status in 1997 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1997 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_97_6,"Occupational status in 1997 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1997 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_97_7,Occupational status in 1997 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1997 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +OOM,EUROCAT,numloc,,,,2.2,,,,,,true,"LOCAL ID Each case has a unique identification. This number is a maximum of 11 characters long, consisting of either numbers, letters or both. -ID numbers should not repeat themselves in different years.",,Table reference: EUROCAT/EUROmediCAT. Up to 11 digits,,, -PELAGIE,harmonized,ADHD_PRO_6,,,,1.0.0,,integer,,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_98_1,Occupational status in 1998 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1998 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_98_2,Occupational status in 1998 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1998 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_98_3,Occupational status in 1998 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1998 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -PELAGIE,BDD_ethers,PHAA,PHAA concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_98_4,Occupational status in 1998 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1998 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -PELAGIE,BDD_pop,PBDE47,Polybrominated diphenyl ether-47 concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -NFBC1966,wave_01,C6646Q2_5_98_5,Occupational status in 1998 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1998 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_98_6,"Occupational status in 1998 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1998 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_98_7,Occupational status in 1998 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1998 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,C6646Q2_5_99_1,Occupational status in 1999 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1999 (asked in 46yr questionnaire): Student,,"1,NA",,, -NFBC1966,wave_01,C6646Q2_5_99_2,Occupational status in 1999 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1999 (asked in 46yr questionnaire): Full-time job,,"2,NA",,, -NFBC1966,wave_01,C6646Q2_5_99_3,Occupational status in 1999 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1999 (asked in 46yr questionnaire): Part-time job,,"3,NA",,, -NFBC1966,wave_01,C6646Q2_5_99_4,Occupational status in 1999 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1999 (asked in 46yr questionnaire): Self-employed,,"4,NA",,, -NFBC1966,wave_01,C6646Q2_5_99_5,Occupational status in 1999 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1999 (asked in 46yr questionnaire): Unemployed,,"5,NA",,, -NFBC1966,wave_01,C6646Q2_5_99_6,"Occupational status in 1999 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1999 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,, -NFBC1966,wave_01,C6646Q2_5_99_7,Occupational status in 1999 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1999 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,, -NFBC1966,wave_01,ZP0401,"How many adults (18yr or older) are there in your family or household, including yourself, 31yr questionnaire",NFBC1966,31yr,1.0.0,,integer,,,,,"How many adults (18yr or older) are there in your family or household, including yourself, 31yr questionnaire",,"1,2,3",,, -NFBC1966,wave_01,ZP0402,"How many children (under 18yr) are there in your family or household, 31yr questionnaire",NFBC1966,31yr,1.0.0,,integer,,,,,"How many children (under 18yr) are there in your family or household, 31yr questionnaire",,"1,2,3",,, -NFBC1966,wave_01,ZP05,"Household income last year, 31yr questionnaire",NFBC1966,31yr,1.0.0,,continuous,mk,,,,"Household income last year, 31yr questionnaire",,170000,,, -NFBC1966,wave_01,ZP06,Basic education at 31yr,NFBC1966,31yr,1.0.0,,categorical,,,,,Basic education at 31yr,,"1,2,3",,, -NFBC1966,wave_01,ZP79,Have you ever smoked? 31yr questionnaire,NFBC1966,31yr,1.0.0,,categorical,,,,,Have you ever smoked? 31yr questionnaire,,"1,2",,, -NFBC1966,wave_01,ZP80,"Have you ever smoked egularly (one cigarette, cigar, mini-cigar or pipeful nearly every day for at least a year)? 31yr questionnaire",NFBC1966,31yr,1.0.0,,categorical,,,,,"Have you ever smoked egularly (one cigarette, cigar, mini-cigar or pipeful nearly every day for at least a year)? 31yr questionnaire",,"1,2",,, -NFBC1966,wave_01,ZP81,How old were you when to gave up smoking? 31yr questionnaire,NFBC1966,31yr,1.0.0,,categorical,,,,,How old were you when to gave up smoking? 31yr questionnaire,,"12,13,14",,, -PELAGIE,BDD_OP,CHILDDEDTP,Diethyldithiophosphate concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_OP,CHILDDEP,Diethylphosphate concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_OP,CHILDDETP,Diethyl thiophosphate concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_OP,CHILDDMDTP,Dimethylphosphorodithidate concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_OP,CHILDDMP,Dimethylphosphate concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_OP,CHLORPYRIFOS,chlorpyrifos concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_OP,DEP,Diethylphosphate concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_ethers,PHAA_ENFANT,PHAA Concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_ethers,SGURINEF,Gestational age at th etime of urine collection,,,1.0.0,,integer,week,,,,,,,,, -PELAGIE,BDD_mercure,HG,Mercure concentration in a sample of mothers' hair during the third trimester,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_perfluores,PFDA,Perfluorodecanoique concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_perfluores,PFHXS,Perfluorohexane concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_perfluores,PFNA,Perfluorononanoique concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_perfluores,PFOA,Perfluorooctanoique concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_perfluores,PFOS,Perfluorooctane concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_perfluores,PFUDA,Perfluoroundecanoique concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_perfluores,Q12_PERFLUORODECANOIQUE_BRUT,Perfluorodecanoique concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_perfluores,Q12_PERFLUOROHEXANE_BRUT,Perfluorohexane concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_perfluores,Q12_PERFLUORONONANOIQUE_BRUT,Perfluorononanoique concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_perfluores,Q12_PERFLUOROOCTANE_BRUT,Perfluorooctane concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_perfluores,Q12_PERFLUOROOCTANOIQUE_BRUT,Perfluorooctanoique concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_perfluores,Q12_PERFLUOROUNDECANOIQUE_BRUT,Perfluoroundecanoique concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,BPA,Bisphenol A concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,BP_F,Bisphneol F concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,harmonized,ADHD_PRO_7,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,BP_S,Bisphenol S concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,BUPA,Butyl paraben concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,CXMINP,Mono-4-methyl-7-carboxyheptyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,ETPA,Ethyl paraben concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,MBZP,Monobenzyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,MCHP,Monocyclohexyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,TRCS,Triclosan concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,MECPP,Mono-2-ethyl-5-carboxypentyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,MEHHP,Mono-2-ethyl-5-hydroxyhexyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,MEHP,Mono-2-ethylhexyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,MEOHP,Mono-2-ethyl-5-oxoyhexyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,MEP,Monoethyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,MEPA,Methyl paraben concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,MIBP,Mono-iso-butyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,MNBP,Mono-n-butyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,MNOP,Mono-n-octyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,MNPEP,Mono-n-pentyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,OHMINCH,2-(Hydroxyl-4-methyloctyl)oxy)carbonyl)cyclohexanecarboxylic acid concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,OHMINP,Mono-4-methyl-7-hydroxyoctyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,OHMPHP,Mono-6-hydroxy-propylheptylphthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,OXBE,Oxybenzone/Benzophenone-3 concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,OXOMINCH,2-(4-Methyl-7-oxyoctyl)oxy)carbonyl)cyclohexanecarboxylic acid concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,OXOMINP,Mono-4-methyl-7oxooctyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,PRPA,Propyl paraben concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,, -PELAGIE,BDD_phtalates_phenols,SGURINEF,Gestational age at th etime of urine collection,,,1.0.0,,integer,week,,,,,,,,, -PELAGIE,BDD_pop,BETAHCH,Hexachlorocyclohexane (betaHCH) concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,DOSAGE_POP_MERE,To which series does dosage belong,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,BDD_pop,HEXACHLOROBENZENE,Hexachlorobenzene concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,PBDE153,Polybrominated diphenyl ether-153 concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,PCB118,Polychlorinated Biphenyl-118 concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,harmonized,ASTHMA_MED_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,BDD_pop,PCB138,Polychlorinated Biphenyl-138concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,PCB153,Polychlorinated Biphenyl-153 concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,PCB170,Polychlorinated Biphenyl-170 concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,PCB180,Polychlorinated Biphenyl-180 concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,PPDDE,Dichlorodiphenyldichloroethane concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,PPDDT,Dichlorodiphenyltrichloroethane concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,Q12_BETAHCH,Hexachlorocyclohexane (betaHCH) concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,Q12_BPC118,Polychlorinated Biphenyl-118 concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,Q12_BPC138,Polychlorinated Biphenyl-138 concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,Q12_BPC153,Polychlorinated Biphenyl-153 concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,Q12_BPC170,Polychlorinated Biphenyl-170 concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,Q12_BPC180,Polychlorinated Biphenyl-180 concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,Q12_HEXACHLOROBENZENE,Hexachlorobenzene concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,BDD_pop,Q12_PPDDE,Dichlorodiphenyldichloroethane concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,, -PELAGIE,datenaisspere,DATE_NAIS_PERE,Date de naissance du père de l'enfant,,,1.0.0,,date,,,,,,,,,, -PELAGIE,datenaisspere,Date_nais_Pere,Date de naissance du père de l'enfant,,,1.0.0,,date,,,,,,,,,, -PELAGIE,geocodes,GEOCODES,Geocodes of the participants,,,,,integer,,,,,,,,,, -PELAGIE,geocodes,geocodes,Geocodes of the participants,,,,,integer,,,,,,,,,, -PELAGIE,harmonized,ADHD_EVAL_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ADHD_INSTR_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ADHD_PRO_1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,ADHD_PRO_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,ADHD_PRO_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,AGGR_EVAL_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,AGGR_INSTR_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,AGGR_PRO_1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,AGGR_PRO_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,AGGR_WAVE_1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,ARMCIRCMES_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ASD_EVAL_11,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ASD_EVAL_12,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ASD_INSTR_11,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ASD_INSTR_12,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ATT_EVAL_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ATT_EVAL_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ATT_INSTR_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ATT_INSTR_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ATT_OM_STD_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,ATT_WAVE_5,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,ATT_WAVE_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,BIOMES_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,CHILD_ID,Unique identifier number for the index child,,,1.0.0,,integer,,,,,Unique identifier number for the index child,,,,, -PELAGIE,harmonized,CHOLMES_146,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,COB_M,Maternal country of birth,,,,,categorical,,,,,,,,,, -PELAGIE,harmonized,COHAB_0,Cohabitation status of the mother,,,,,categorical,,,,,,,,,, -PELAGIE,harmonized,COHORT_ID,Unique identifier number for the cohort,,,1.0.0,,categorical,,,,,Unique identifier number for the cohort,,,,, -PELAGIE,harmonized,COH_COUNTRY,Country of the cohort,,,1.0.0,,categorical,,,,,Country of the cohort,,,,, -PELAGIE,harmonized,COMMENT,Information extracted from free text,,,1.0.0,,string,,,,,,,,,, -PELAGIE,harmonized,COMMISSION,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_2MPA_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_2MPA_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_CHLORPHYRIFOS_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_CHLORPHYRIFOS_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_COTININE_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_COTININE_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_CREATININE_LOD_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_CREATININE_LOD_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DDE_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DDE_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DDE_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DDE_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DDE_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DDT_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DEDTP_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DEDTP_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DEP_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DEP_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DETP_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DETP_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DMDTP_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DMDTP_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DMP_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DMP_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DMTP_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_DMTP_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_EAA_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_EAA_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_EEAA_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_EEAA_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_HCB_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_HCB_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_HCB_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_HCB_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_HCB_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_HCH_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_HCH_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_HCH_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_HCH_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_HCH_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_MAA_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_MAA_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_MEAA_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_MEAA_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PBDE153_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PBDE47_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB118_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB118_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB118_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB118_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB118_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB138_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB138_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB138_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB138_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB138_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB153_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB153_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB153_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB153_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB153_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB170_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB170_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB170_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB170_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB170_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB180_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB180_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB180_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB180_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PCB180_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFDA_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFDA_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFDA_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFDA_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFDA_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFHXS_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFHXS_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFHXS_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFHXS_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFHXS_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFNA_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFNA_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFNA_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFNA_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFOA_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFOA_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFOA_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFOA_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFOA_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFOS_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFOS_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFOS_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFOS_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFOS_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFUNDA_RAW_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFUNDA_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFUNDA_RAW_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFUNDA_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PFUNDA_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,C_PHENOXYACETIC_ACID_RAW_6,,,,1.0.0,,integer,,,,,,,,,, -OOM_CDM,EUROCAT,malfo6,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,, -PELAGIE,harmonized,DEATH_M,Indicator variable for death of the child's mother,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,DEATH_M_AGE,Age of the child at the time of mother's death,,,1.0.0,,integer,day,,,,,,,,, -PELAGIE,harmonized,DIETASS_PGN,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,DIETASS_PSC,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,DIETASS_SCH,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ECZEMA_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ECZEMA_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,EDU_F1_12,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,EDU_F1_13,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,EDU_F1_14,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,EUSILC_INCOME,Log equivalised total disposable household monthly income predicted using EUSILC data,,,,,integer,,,,,,,,,, -PELAGIE,harmonized,EXT_EVAL_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,EXT_INSTR_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,EXT_PRO_1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,EXT_PRO_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,EXT_PRO_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,EXT_PRO_2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,EXT_PRO_5,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,EXT_PRO_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,EXT_PRO_7,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,EXT_WAVE_1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,HDLCMES_146,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,HEADCIRCMES_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,HEIGHT_F1,,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,harmonized,HEIGHT_MES_M,Reported vs. measured maternal height,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,HIPCIRCMES_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,INT_EVAL_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,INT_INSTR_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,INT_PRO_1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,INT_PRO_12,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,INT_PRO_13,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,INT_PRO_2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,INT_PRO_5,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,INT_PRO_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,INT_PRO_7,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,INT_WAVE_1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,LAN_EVAL_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,LAN_EVAL_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,LAN_INSTR_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,LAN_INSTR_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,LAN_PRO_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,LAN_WAVE_5,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,LAN_WAVE_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,LATEPREG_WEIGHT_MES,Reported vs. measured late-pregnancy weight,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,LDLCMES_146,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_2MPA_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_2MPA_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_CHLORPHYRIFOS_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_CHLORPHYRIFOS_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_COTININE_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_COTININE_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_CREATININE_LOD_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_CREATININE_LOD_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_DEDTP_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_DEDTP_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_DEP_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_DEP_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_DETP_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_DETP_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_DMDTP_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_DMDTP_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_DMP_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_DMP_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_DMTP_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_DMTP_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_EAA_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_EAA_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_EEAA_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_EEAA_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_HG_RAW_T3,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_MAA_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_MAA_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_MEAA_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_MEAA_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_PHENOXYACETIC_ACID_RAW_T1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,M_PHENOXYACETIC_ACID_RAW_T2,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,NVI_EVAL_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,NVI_EVAL_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,NVI_INSTR_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,NVI_INSTR_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,NVI_PRO_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,NVI_WAVE_5,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,NVI_WAVE_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,OCCUPCODE_F1_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,OCCUP_F1_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,OCCUP_M_0,Occupational status of the mother,,,,,categorical,,,,,,,,,, -PELAGIE,harmonized,OMISSION,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,PREG_NO,Within-mother pregnancy number for each pregnancy included in the cohort.,,,1.0.0,,integer,,,,,Within-mother pregnancy number for each pregnancy included in the cohort.,,,,, -PELAGIE,harmonized,PREG_SMK,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,PREPREG_WEIGHT_MES,Reported vs. measured pre-pregnancy weight,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,PULSEMESSIT_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,SITTINGHTMES_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,SMK_P,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,SUBSCAPSFMES_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,TRICEPSFMES_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,WAISTCIRCMES_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,WEIGHT_F1,,,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,harmonized,WHE_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,WHE_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,WHE_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,WHE_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,WHE_7,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,WM_EVAL_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,WM_EVAL_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,WM_INSTR_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,WM_INSTR_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,WM_PRO_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,WM_WAVE_5,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,WM_WAVE_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,adhd_eval_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,adhd_instr_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,adhd_wave_1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,agebirth_p_y,,,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,harmonized,aggr_eval_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,aggr_instr_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,aggr_wave_1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,armcircmes_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,asd_eval_11,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,asd_eval_12,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,asd_instr_11,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,asd_instr_12,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,asd_pro_11,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,asthma_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,asthma_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,asthma_7,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,asthma_med_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,asthma_med_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,asthma_med_7,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,att_com_std_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,att_eval_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,att_eval_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,att_instr_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,att_instr_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,att_om_std_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,att_wave_5,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,att_wave_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,biomes_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,cholmes_146,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,dietass_pgn,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,dietass_psc,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,dietass_sch,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,edu_f1_12,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,edu_f1_13,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,edu_f1_14,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ext_eval_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ext_instr_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,ext_wave_1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,hdlcmes_146,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,headcircmes_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,height_f1,,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,harmonized,hipcircmes_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,int_eval_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,int_instr_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,int_wave_1,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,lan_eval_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,lan_eval_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,lan_instr_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,lan_wave_5,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,lan_wave_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,ldlcmes_146,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,nvi_eval_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,nvi_eval_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,nvi_instr_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,nvi_instr_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,nvi_wave_5,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,nvi_wave_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,occup_f1_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,occupcode_f1_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,preg_smk,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,pulsemessit_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,sittinghtmes_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,smk_p,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,subscapsfmes_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,tricepsfmes_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,triglyceridesmes_146,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,waistcircmes_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,weight_f1,,,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,harmonized,whe_0,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,whe_1,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,whe_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,whe_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,whe_7,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,wm_eval_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,wm_eval_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,wm_instr_5,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,wm_instr_6,,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,harmonized,wm_wave_5,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,harmonized,wm_wave_6,,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,maj_ddn_2021,DDN_2021,Date of birth of the child,,,1.0.0,,date,,,,,Date of birth of the child updated with data collected during the next follow-ups,,,,, -PELAGIE,maj_ddn_2021,TERM_MATER_2021,Terme calculé à partir de terme mater (M21) ou terme gynéco actualisé 2021 si M21 manquant,,,1.0.0,,integer,week,,,,,,,,, -PELAGIE,maj_ddn_2021,ddn_2021,Date of birth of the child,,,1.0.0,,date,,,,,Date of birth of the child updated with data collected during the next follow-ups,,,,, -PELAGIE,maj_ddn_2021,term_mater_2021,Terme calculé à partir de terme mater (M21) ou terme gynéco actualisé 2021 si M21 manquant,,,1.0.0,,integer,week,,,,,,,,, -PELAGIE,new,CHILD_ID,Unique identifier number for the index child,,,1.0.0,,integer,,,,,Unique identifier number for the index child,,,,, -PELAGIE,new,COHORT_ID,Unique identifier number for the cohort,,,1.0.0,,categorical,,,,,Unique identifier number for the cohort,,,,, -PELAGIE,new,COH_COUNTRY,Country of the cohort,,,1.0.0,,categorical,,,,,Country of the cohort,,,,, -PELAGIE,new,COMMENT,Information extracted from free text,,,1.0.0,,string,,,,,,,,,, -PELAGIE,new,DEATH_M,Indicator variable for death of the child's mother,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,new,DEATH_M_AGE,Age of the child at the time of mother's death,,,1.0.0,,integer,day,,,,,,,,, -PELAGIE,new,HEIGHT_MES_M,Reported vs. measured maternal height,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,new,LATEPREG_WEIGHT_MES,Reported vs. measured late-pregnancy weight,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,new,PREG_NO,Within-mother pregnancy number for each pregnancy included in the cohort.,,,1.0.0,,integer,,,,,Within-mother pregnancy number for each pregnancy included in the cohort.,,,,, -PELAGIE,new,PREPREG_WEIGHT_MES,Reported vs. measured pre-pregnancy weight,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,new,child_id,Unique identifier number for the index child,,,1.0.0,,integer,,,,,Unique identifier number for the index child,,,,, -PELAGIE,new,coh_country,Country of the cohort,,,1.0.0,,categorical,,,,,Country of the cohort,,,,, -PELAGIE,new,cohort_id,Unique identifier number for the cohort,,,1.0.0,,categorical,,,,,Unique identifier number for the cohort,,,,, -PELAGIE,new,comment,Information extracted from free text,,,1.0.0,,string,,,,,,,,,, -PELAGIE,new,death_m,Indicator variable for death of the child's mother,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,new,death_m_age,Age of the child at the time of mother's death,,,1.0.0,,integer,day,,,,,,,,, -PELAGIE,new,height_mes_m,Reported vs. measured maternal height,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,new,latepreg_weight_mes,Reported vs. measured late-pregnancy weight,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,new,preg_no,Within-mother pregnancy number for each pregnancy included in the cohort.,,,1.0.0,,integer,,,,,Within-mother pregnancy number for each pregnancy included in the cohort.,,,,, -PELAGIE,new,prepreg_weight_mes,Reported vs. measured pre-pregnancy weight,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,DATECAST,date at CAST (at age 11),,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST10_N,10.Il était facile pour lui d'interagir avec d'autres enfants q1cast10,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST11_N,11.Pouvait maintenir une conversion réciproque avec un interlocuteur q1cast11,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST13_N,13.Avait des centres d'intérêt similaires à ceux de ses camarades q1cast13,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST14,14.Avait un centre d'intérêt qui mobilisait presque tout son temps q1cast14,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST15_N,15.Avait des amis plutôt que des connaissances q1cast15,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST16_N,16.Venait souvent vous montrer des choses qui l'intéressaient q1cast16,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST17_N,17.Aimait faire des blagues/plaisanteries q1cast17,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST18,18.Avait des difficultés pour comprendre les règles de politesse q1cast18,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST19,19.Semblait avoir une mémoire pour les détails hors du commun q1cast19,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST1_N,1.Il/elle jouait spontanément à des jeux avec d'autres enfants q1cast1,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST20,20.Avait une voix particulière q1cast20,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST21_N,21.Les gens étaient importants pour lui q1cast21,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST23_N,23.Tenait compte de la réciprocité dans une conversation q1cast23,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST24_N,"24.Jouait de manière imaginative avec d'autres enfants, q1cast24",,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST25,25.Disait souvent des choses malpolies q1cast25,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST27_N,27.Avait un contact oculaire normal q1cast27,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST28,28.Avait des mouvements inhabituels et répétitifs q1cast28,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST29,29.Son comportement social était très unilatéral q1cast29,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST2_N,2.Venait spontanément discuter avec vous q1cast2,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -OOM_CDM,INSTANCE,source_column_name,,,,2.2,,character,,,,true,Column of the local dictionary that is used in ETL,,IDUNI,,, -PELAGIE,pelagie_GC_q11,Q1CAST30,30.Disait parfois « tu » quand il/elle voulait dire « je » q1cast30,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST31_N,31.Préférait des activités imaginatives telles que les jeux de rôle q1cast31,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST32,32.Perdait parfois son interlocuteur par un manque d'explications q1cast32,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST34,34.Essayait d'imposer des routines à lui/elle-même q1cast34,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST35_N,35.Se souciait de la manière dont il était perçu par le groupe q1cast35,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST36,36.Ramenait souvent les conversations vers ses sujets de prédilection q1cast36,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST37,37.Avait des expressions étranges ou inhabituelles q1cast37,,,1.0.0,,categorical,,,,,,,,,, +ID numbers should not repeat themselves in different years.",,Table reference: EUROCAT/EUROmediCAT. Up to 11 digits,,,,False,,,,, +PELAGIE,harmonized,ADHD_PRO_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_98_1,Occupational status in 1998 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1998 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_98_2,Occupational status in 1998 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1998 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_98_3,Occupational status in 1998 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1998 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +PELAGIE,BDD_ethers,PHAA,PHAA concentration in maternal urine during pregnancy,,,1.0.0,,integer,mg/litre,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_98_4,Occupational status in 1998 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1998 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +PELAGIE,BDD_pop,PBDE47,Polybrominated diphenyl ether-47 concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_98_5,Occupational status in 1998 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1998 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_98_6,"Occupational status in 1998 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1998 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_98_7,Occupational status in 1998 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1998 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_99_1,Occupational status in 1999 (asked in 46yr questionnaire): Student,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1999 (asked in 46yr questionnaire): Student,,"1,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_99_2,Occupational status in 1999 (asked in 46yr questionnaire): Full-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1999 (asked in 46yr questionnaire): Full-time job,,"2,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_99_3,Occupational status in 1999 (asked in 46yr questionnaire): Part-time job,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1999 (asked in 46yr questionnaire): Part-time job,,"3,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_99_4,Occupational status in 1999 (asked in 46yr questionnaire): Self-employed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1999 (asked in 46yr questionnaire): Self-employed,,"4,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_99_5,Occupational status in 1999 (asked in 46yr questionnaire): Unemployed,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1999 (asked in 46yr questionnaire): Unemployed,,"5,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_99_6,"Occupational status in 1999 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",NFBC1966,46yr,1.0.0,,categorical,,,,,"Occupational status in 1999 (asked in 46yr questionnaire): Maternity/parental leave, child care leave",,"6,NA",,,,False,,,,, +NFBC1966,wave_01,C6646Q2_5_99_7,Occupational status in 1999 (asked in 46yr questionnaire): Job alternation leave or other,NFBC1966,46yr,1.0.0,,categorical,,,,,Occupational status in 1999 (asked in 46yr questionnaire): Job alternation leave or other,,"7,NA",,,,False,,,,, +NFBC1966,wave_01,ZP0401,"How many adults (18yr or older) are there in your family or household, including yourself, 31yr questionnaire",NFBC1966,31yr,1.0.0,,integer,,,,,"How many adults (18yr or older) are there in your family or household, including yourself, 31yr questionnaire",,"1,2,3",,,,False,,,,, +NFBC1966,wave_01,ZP0402,"How many children (under 18yr) are there in your family or household, 31yr questionnaire",NFBC1966,31yr,1.0.0,,integer,,,,,"How many children (under 18yr) are there in your family or household, 31yr questionnaire",,"1,2,3",,,,False,,,,, +NFBC1966,wave_01,ZP05,"Household income last year, 31yr questionnaire",NFBC1966,31yr,1.0.0,,continuous,mk,,,,"Household income last year, 31yr questionnaire",,170000,,,,False,,,,, +NFBC1966,wave_01,ZP06,Basic education at 31yr,NFBC1966,31yr,1.0.0,,categorical,,,,,Basic education at 31yr,,"1,2,3",,,,False,,,,, +NFBC1966,wave_01,ZP80,"Have you ever smoked egularly (one cigarette, cigar, mini-cigar or pipeful nearly every day for at least a year)? 31yr questionnaire",NFBC1966,31yr,1.0.0,,categorical,,,,,"Have you ever smoked egularly (one cigarette, cigar, mini-cigar or pipeful nearly every day for at least a year)? 31yr questionnaire",,"1,2",,,,False,,,,, +NFBC1966,wave_01,ZP81,How old were you when to gave up smoking? 31yr questionnaire,NFBC1966,31yr,1.0.0,,categorical,,,,,How old were you when to gave up smoking? 31yr questionnaire,,"12,13,14",,,,False,,,,, +PELAGIE,BDD_OP,CHILDDEDTP,Diethyldithiophosphate concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_OP,CHILDDEP,Diethylphosphate concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_OP,CHILDDETP,Diethyl thiophosphate concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_OP,CHILDDMDTP,Dimethylphosphorodithidate concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_OP,CHILDDMP,Dimethylphosphate concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_OP,CHLORPYRIFOS,chlorpyrifos concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_OP,DEP,Diethylphosphate concentration in maternal urine during pregnancy,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_ethers,PHAA_ENFANT,PHAA Concentration in the urine of children at 6 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_ethers,SGURINEF,Gestational age at th etime of urine collection,,,1.0.0,,integer,week,,,,,,,,,,False,,,,, +PELAGIE,BDD_mercure,HG,Mercure concentration in a sample of mothers' hair during the third trimester,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_perfluores,PFDA,Perfluorodecanoique concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_perfluores,PFHXS,Perfluorohexane concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_perfluores,PFNA,Perfluorononanoique concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_perfluores,PFOA,Perfluorooctanoique concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_perfluores,PFOS,Perfluorooctane concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_perfluores,PFUDA,Perfluoroundecanoique concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_perfluores,Q12_PERFLUORODECANOIQUE_BRUT,Perfluorodecanoique concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_perfluores,Q12_PERFLUOROHEXANE_BRUT,Perfluorohexane concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_perfluores,Q12_PERFLUORONONANOIQUE_BRUT,Perfluorononanoique concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_perfluores,Q12_PERFLUOROOCTANE_BRUT,Perfluorooctane concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_perfluores,Q12_PERFLUOROOCTANOIQUE_BRUT,Perfluorooctanoique concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_perfluores,Q12_PERFLUOROUNDECANOIQUE_BRUT,Perfluoroundecanoique concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,BPA,Bisphenol A concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,BP_S,Bisphenol S concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,BUPA,Butyl paraben concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,CXMINP,Mono-4-methyl-7-carboxyheptyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,ETPA,Ethyl paraben concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,MBZP,Monobenzyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,MCHP,Monocyclohexyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,TRCS,Triclosan concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,MECPP,Mono-2-ethyl-5-carboxypentyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,MEHHP,Mono-2-ethyl-5-hydroxyhexyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,MEHP,Mono-2-ethylhexyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,MEOHP,Mono-2-ethyl-5-oxoyhexyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,MEP,Monoethyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,MEPA,Methyl paraben concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,MIBP,Mono-iso-butyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,MNBP,Mono-n-butyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,MNOP,Mono-n-octyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,MNPEP,Mono-n-pentyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,OHMINCH,2-(Hydroxyl-4-methyloctyl)oxy)carbonyl)cyclohexanecarboxylic acid concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,OHMINP,Mono-4-methyl-7-hydroxyoctyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,OHMPHP,Mono-6-hydroxy-propylheptylphthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,OXBE,Oxybenzone/Benzophenone-3 concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,OXOMINCH,2-(4-Methyl-7-oxyoctyl)oxy)carbonyl)cyclohexanecarboxylic acid concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ADHD_INSTR_1,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,OXOMINP,Mono-4-methyl-7oxooctyl phthalate concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,PRPA,Propyl paraben concentration in maternal urine during pregnancy,,,1.0.0,,integer,ng/ml,,,,,,,,,,False,,,,, +PELAGIE,BDD_phtalates_phenols,SGURINEF,Gestational age at th etime of urine collection,,,1.0.0,,integer,week,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,BETAHCH,Hexachlorocyclohexane (betaHCH) concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,DOSAGE_POP_MERE,To which series does dosage belong,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,HEXACHLOROBENZENE,Hexachlorobenzene concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,PBDE153,Polybrominated diphenyl ether-153 concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,PCB118,Polychlorinated Biphenyl-118 concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ASTHMA_MED_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,PCB138,Polychlorinated Biphenyl-138concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,PCB153,Polychlorinated Biphenyl-153 concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,PCB170,Polychlorinated Biphenyl-170 concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,PCB180,Polychlorinated Biphenyl-180 concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,PPDDE,Dichlorodiphenyldichloroethane concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,PPDDT,Dichlorodiphenyltrichloroethane concentration in cord blood,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,Q12_BETAHCH,Hexachlorocyclohexane (betaHCH) concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,Q12_BPC118,Polychlorinated Biphenyl-118 concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,Q12_BPC138,Polychlorinated Biphenyl-138 concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,Q12_BPC153,Polychlorinated Biphenyl-153 concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,Q12_BPC170,Polychlorinated Biphenyl-170 concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,Q12_BPC180,Polychlorinated Biphenyl-180 concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,Q12_HEXACHLOROBENZENE,Hexachlorobenzene concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,BDD_pop,Q12_PPDDE,Dichlorodiphenyldichloroethane concentration in children at 12 years,,,1.0.0,,integer,µg/L,,,,,,,,,,False,,,,, +PELAGIE,datenaisspere,DATE_NAIS_PERE,Date de naissance du père de l'enfant,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,datenaisspere,Date_nais_Pere,Date de naissance du père de l'enfant,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,geocodes,GEOCODES,Geocodes of the participants,,,,,integer,,,,,,,,,,,False,,,,, +PELAGIE,geocodes,geocodes,Geocodes of the participants,,,,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ADHD_PRO_1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ADHD_PRO_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ADHD_PRO_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,AGGR_EVAL_1,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,AGGR_INSTR_1,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,AGGR_PRO_1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,AGGR_PRO_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,AGGR_WAVE_1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ARMCIRCMES_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ASD_EVAL_11,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ASD_EVAL_12,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ASD_INSTR_11,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ASD_INSTR_12,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ATT_EVAL_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ATT_EVAL_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ATT_INSTR_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ATT_INSTR_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ATT_OM_STD_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ATT_WAVE_5,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ATT_WAVE_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,BIOMES_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,CHILD_ID,Unique identifier number for the index child,,,1.0.0,,integer,,,,,Unique identifier number for the index child,,,,,,False,,,,, +PELAGIE,harmonized,CHOLMES_146,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,COB_M,Maternal country of birth,,,,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,COHAB_0,Cohabitation status of the mother,,,,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,COHORT_ID,Unique identifier number for the cohort,,,1.0.0,,categorical,,,,,Unique identifier number for the cohort,,,,,,False,,,,, +PELAGIE,harmonized,COH_COUNTRY,Country of the cohort,,,1.0.0,,categorical,,,,,Country of the cohort,,,,,,False,,,,, +PELAGIE,harmonized,COMMENT,Information extracted from free text,,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,COMMISSION,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_2MPA_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_2MPA_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_CHLORPHYRIFOS_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_CHLORPHYRIFOS_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_COTININE_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_COTININE_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_CREATININE_LOD_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_CREATININE_LOD_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DDE_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DDE_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DDE_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DDE_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DDE_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DDT_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DEDTP_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DEDTP_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DEP_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DEP_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DETP_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DETP_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DMDTP_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DMDTP_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DMP_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DMP_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DMTP_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_DMTP_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_EAA_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_EAA_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_EEAA_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_EEAA_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_HCB_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_HCB_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_HCB_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_HCB_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_HCB_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_HCH_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_HCH_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_HCH_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_HCH_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_HCH_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_MAA_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_MAA_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_MEAA_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_MEAA_RAW_6Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PBDE153_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PBDE47_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB118_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB118_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB118_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB118_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB118_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB138_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB138_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB138_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB138_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB138_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB153_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB153_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB153_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB153_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB153_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB170_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB170_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB170_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB170_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB170_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB180_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB180_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB180_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB180_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PCB180_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFDA_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFDA_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFDA_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFDA_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFDA_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFHXS_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFHXS_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFHXS_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFHXS_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFHXS_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFNA_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFNA_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFNA_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFNA_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFOA_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFOA_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFOA_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFOA_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFOA_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFOS_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFOS_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFOS_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFOS_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFOS_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFUNDA_RAW_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFUNDA_RAW_12Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFUNDA_RAW_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFUNDA_RAW_13Y,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PFUNDA_RAW_BIRTH,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,C_PHENOXYACETIC_ACID_RAW_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +OOM,EUROCAT,malfo6,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,,,False,,,,, +PELAGIE,harmonized,DEATH_M,Indicator variable for death of the child's mother,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,DEATH_M_AGE,Age of the child at the time of mother's death,,,1.0.0,,integer,day,,,,,,,,,,False,,,,, +PELAGIE,harmonized,DIETASS_PGN,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,DIETASS_PSC,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,DIETASS_SCH,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ECZEMA_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ECZEMA_1,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EDU_F1_12,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EDU_F1_13,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EDU_F1_14,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EUSILC_INCOME,Log equivalised total disposable household monthly income predicted using EUSILC data,,,,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EXT_EVAL_1,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EXT_INSTR_1,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EXT_PRO_1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EXT_PRO_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EXT_PRO_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EXT_PRO_2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EXT_PRO_5,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EXT_PRO_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EXT_PRO_7,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,EXT_WAVE_1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,HDLCMES_146,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,HEADCIRCMES_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,HEIGHT_F1,,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,harmonized,HEIGHT_MES_M,Reported vs. measured maternal height,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,HIPCIRCMES_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,INT_EVAL_1,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,INT_INSTR_1,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,INT_PRO_1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,INT_PRO_12,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,INT_PRO_13,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,INT_PRO_2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,INT_PRO_5,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,INT_PRO_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,INT_PRO_7,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,INT_WAVE_1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,LAN_EVAL_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,LAN_EVAL_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,LAN_INSTR_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,LAN_INSTR_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,LAN_PRO_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,LAN_WAVE_5,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,LAN_WAVE_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,LATEPREG_WEIGHT_MES,Reported vs. measured late-pregnancy weight,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,LDLCMES_146,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_2MPA_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_2MPA_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_CHLORPHYRIFOS_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_CHLORPHYRIFOS_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_COTININE_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_COTININE_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_CREATININE_LOD_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_CREATININE_LOD_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_DEDTP_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_DEDTP_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_DEP_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_DEP_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_DETP_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_DETP_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_DMDTP_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_DMDTP_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_DMP_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_DMP_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_DMTP_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_DMTP_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_EAA_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_EAA_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_EEAA_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_EEAA_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_HG_RAW_T3,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_MAA_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_MAA_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_MEAA_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_MEAA_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_PHENOXYACETIC_ACID_RAW_T1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,M_PHENOXYACETIC_ACID_RAW_T2,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,NVI_EVAL_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,NVI_EVAL_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,NVI_INSTR_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,NVI_INSTR_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,NVI_PRO_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,NVI_WAVE_5,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,NVI_WAVE_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,OCCUPCODE_F1_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,OCCUP_F1_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,OCCUP_M_0,Occupational status of the mother,,,,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,OMISSION,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,PREG_NO,Within-mother pregnancy number for each pregnancy included in the cohort.,,,1.0.0,,integer,,,,,Within-mother pregnancy number for each pregnancy included in the cohort.,,,,,,False,,,,, +PELAGIE,harmonized,PREG_SMK,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,PREPREG_WEIGHT_MES,Reported vs. measured pre-pregnancy weight,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,PULSEMESSIT_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,SITTINGHTMES_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,SMK_P,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,SUBSCAPSFMES_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,TRICEPSFMES_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,TRIGLYCERIDESMES_146,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WAISTCIRCMES_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WEIGHT_F1,,,,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WHE_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WHE_1,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WHE_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WHE_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WHE_7,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WM_EVAL_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WM_EVAL_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WM_INSTR_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WM_INSTR_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WM_PRO_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WM_WAVE_5,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,WM_WAVE_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,adhd_eval_1,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,adhd_instr_1,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,adhd_wave_1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,agebirth_p_y,,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,harmonized,aggr_eval_1,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,aggr_instr_1,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,aggr_wave_1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,armcircmes_0,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,asd_eval_11,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,asd_eval_12,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,asd_instr_11,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,asd_instr_12,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,asd_pro_11,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,asthma_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,asthma_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,asthma_7,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,asthma_med_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,asthma_med_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,asthma_med_7,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,att_com_std_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,att_eval_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,att_eval_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,att_instr_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,att_instr_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,att_om_std_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,att_wave_5,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,att_wave_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,biomes_0,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,cholmes_146,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,dietass_pgn,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,dietass_psc,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,dietass_sch,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,edu_f1_12,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,edu_f1_13,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,edu_f1_14,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ext_eval_1,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,ext_instr_1,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,ext_wave_1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,hdlcmes_146,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,headcircmes_0,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,height_f1,,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,harmonized,hipcircmes_0,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,int_eval_1,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,int_instr_1,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,int_wave_1,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,lan_eval_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,lan_eval_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,lan_instr_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,lan_wave_5,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,lan_wave_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,ldlcmes_146,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,nvi_eval_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,nvi_eval_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,nvi_instr_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,nvi_instr_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,nvi_wave_5,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,nvi_wave_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,occup_f1_0,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,occupcode_f1_0,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,preg_smk,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,pulsemessit_0,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,sittinghtmes_0,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,smk_p,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,subscapsfmes_0,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,tricepsfmes_0,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,triglyceridesmes_146,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,waistcircmes_0,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,weight_f1,,,,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +PELAGIE,harmonized,whe_0,,,,1.0.0,,categorical,,,,,,,,,,,True,,,,, +PELAGIE,harmonized,whe_1,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,whe_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,whe_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,whe_7,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,wm_eval_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,wm_eval_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,wm_instr_5,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,wm_instr_6,,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,wm_wave_5,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,harmonized,wm_wave_6,,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,maj_ddn_2021,DDN_2021,Date of birth of the child,,,1.0.0,,date,,,,,Date of birth of the child updated with data collected during the next follow-ups,,,,,,False,,,,, +PELAGIE,maj_ddn_2021,TERM_MATER_2021,Terme calculé à partir de terme mater (M21) ou terme gynéco actualisé 2021 si M21 manquant,,,1.0.0,,integer,week,,,,,,,,,,False,,,,, +PELAGIE,maj_ddn_2021,ddn_2021,Date of birth of the child,,,1.0.0,,date,,,,,Date of birth of the child updated with data collected during the next follow-ups,,,,,,False,,,,, +PELAGIE,maj_ddn_2021,term_mater_2021,Terme calculé à partir de terme mater (M21) ou terme gynéco actualisé 2021 si M21 manquant,,,1.0.0,,integer,week,,,,,,,,,,False,,,,, +PELAGIE,new,CHILD_ID,Unique identifier number for the index child,,,1.0.0,,integer,,,,,Unique identifier number for the index child,,,,,,False,,,,, +PELAGIE,new,COHORT_ID,Unique identifier number for the cohort,,,1.0.0,,categorical,,,,,Unique identifier number for the cohort,,,,,,False,,,,, +PELAGIE,new,COH_COUNTRY,Country of the cohort,,,1.0.0,,categorical,,,,,Country of the cohort,,,,,,False,,,,, +PELAGIE,new,COMMENT,Information extracted from free text,,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,new,DEATH_M,Indicator variable for death of the child's mother,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,new,DEATH_M_AGE,Age of the child at the time of mother's death,,,1.0.0,,integer,day,,,,,,,,,,False,,,,, +PELAGIE,new,HEIGHT_MES_M,Reported vs. measured maternal height,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,new,LATEPREG_WEIGHT_MES,Reported vs. measured late-pregnancy weight,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,new,PREG_NO,Within-mother pregnancy number for each pregnancy included in the cohort.,,,1.0.0,,integer,,,,,Within-mother pregnancy number for each pregnancy included in the cohort.,,,,,,False,,,,, +PELAGIE,new,PREPREG_WEIGHT_MES,Reported vs. measured pre-pregnancy weight,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,new,child_id,Unique identifier number for the index child,,,1.0.0,,integer,,,,,Unique identifier number for the index child,,,,,,False,,,,, +PELAGIE,new,coh_country,Country of the cohort,,,1.0.0,,categorical,,,,,Country of the cohort,,,,,,False,,,,, +PELAGIE,new,cohort_id,Unique identifier number for the cohort,,,1.0.0,,categorical,,,,,Unique identifier number for the cohort,,,,,,False,,,,, +PELAGIE,new,comment,Information extracted from free text,,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,new,death_m,Indicator variable for death of the child's mother,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,new,death_m_age,Age of the child at the time of mother's death,,,1.0.0,,integer,day,,,,,,,,,,False,,,,, +PELAGIE,new,height_mes_m,Reported vs. measured maternal height,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,new,latepreg_weight_mes,Reported vs. measured late-pregnancy weight,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,new,preg_no,Within-mother pregnancy number for each pregnancy included in the cohort.,,,1.0.0,,integer,,,,,Within-mother pregnancy number for each pregnancy included in the cohort.,,,,,,False,,,,, +PELAGIE,new,prepreg_weight_mes,Reported vs. measured pre-pregnancy weight,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,DATECAST,date at CAST (at age 11),,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST10_N,10.Il était facile pour lui d'interagir avec d'autres enfants q1cast10,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST11_N,11.Pouvait maintenir une conversion réciproque avec un interlocuteur q1cast11,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST13_N,13.Avait des centres d'intérêt similaires à ceux de ses camarades q1cast13,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST14,14.Avait un centre d'intérêt qui mobilisait presque tout son temps q1cast14,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST15_N,15.Avait des amis plutôt que des connaissances q1cast15,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +OOM,EUROCAT,socm,,,,2.2,,,,,,false,"SOCIOECONOMIC STATUS OF MOTHER +Current or last occupation. + +Upper non-manual – professionals, administrators and managers eg. doctor, architect, lawyer, banker, manager, teacher, nurse, performer. +Lower non-manual – routine non-manual eg. Book-keeper, salesman, receptionist, secretary, computer operator, clerk, waiter. +Skilled manual – cook, butcher, carpenter. +Unskilled manual – semi and unskilled manual eg. factory worker, driver, agricultural worker, porter. +Self employed/artisan – owner of shop, restaurant or hotel, independent artisan. +Farmer – eg. self-employed farmer or fisherman. + +If code 8 (“other/student”), please specify in text in space for general comments (variable 80). +For further information see Kunst et al (2001)",,"1 = Upper non-manual +2 = Lower non-manual +3 = Skilled manual +4 = Unskilled manual +5 – Self employed/artisan +6 = Farmer +8 = Other/Student,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST16_N,16.Venait souvent vous montrer des choses qui l'intéressaient q1cast16,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST17_N,17.Aimait faire des blagues/plaisanteries q1cast17,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST18,18.Avait des difficultés pour comprendre les règles de politesse q1cast18,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST19,19.Semblait avoir une mémoire pour les détails hors du commun q1cast19,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST1_N,1.Il/elle jouait spontanément à des jeux avec d'autres enfants q1cast1,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST20,20.Avait une voix particulière q1cast20,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST21_N,21.Les gens étaient importants pour lui q1cast21,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST23_N,23.Tenait compte de la réciprocité dans une conversation q1cast23,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST24_N,"24.Jouait de manière imaginative avec d'autres enfants, q1cast24",,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST25,25.Disait souvent des choses malpolies q1cast25,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST27_N,27.Avait un contact oculaire normal q1cast27,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST28,28.Avait des mouvements inhabituels et répétitifs q1cast28,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST29,29.Son comportement social était très unilatéral q1cast29,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST2_N,2.Venait spontanément discuter avec vous q1cast2,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +OOM,INSTANCE,source_column_name,,,,2.2,,character,,,,true,Column of the local dictionary that is used in ETL,,IDUNI,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST30,30.Disait parfois « tu » quand il/elle voulait dire « je » q1cast30,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST31_N,31.Préférait des activités imaginatives telles que les jeux de rôle q1cast31,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST32,32.Perdait parfois son interlocuteur par un manque d'explications q1cast32,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST34,34.Essayait d'imposer des routines à lui/elle-même q1cast34,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST35_N,35.Se souciait de la manière dont il était perçu par le groupe q1cast35,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST36,36.Ramenait souvent les conversations vers ses sujets de prédilection q1cast36,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST37,37.Avait des expressions étranges ou inhabituelles q1cast37,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, PELAGIE,pelagie_GC_q11,Q1CAST38,"38. Les instituteurs ou professionnels de la santé se sont déjà inquiétés de -son développement",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST39,39. A été diagnostiqué(e) par un professionnel de la santé avec l’une des difficultés suivantes :,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST5_N,5.Il était important pour lui de faire partie d'1 groupe d'amis q1cast5,,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST6,6.Faisait attention à des détails inhabituels que les autres ignorent q1cast6,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST7,7.Avait la tendance à comprendre les choses littéralement q1cast7,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST8_N,"8.A l'âge de 3 ans, il passait beaucoup de temps à faire semblant q1cast8",,,1.0.0,,categorical,,,,,reversed before summing,,,,, -PELAGIE,pelagie_GC_q11,Q1CAST9,9.Aimait faire les mêmes choses tout le temps de la même manière q1cast9,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,total cholesterol levels measured in blood at the 12-years old visit,,,1.0.0,,integer,mmol/l,,,,,,,,, -PELAGIE,pelagie_dosage12,Q12_Cholesterol_total,total cholesterol levels measured in blood at the 12-years old visit,,,1.0.0,,integer,mmol/l,,,,,,,,, -PELAGIE,pelagie_dosage12,Q12_HDL,HDL levels measured in blood at the 12-years old visit,,,1.0.0,,integer,mmol/l,,,,,,,,, -PELAGIE,pelagie_dosage12,Q12_LDL,LDL levels measured in blood at the 12-years old visit,,,1.0.0,,integer,mmol/l,,,,,,,,, -PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,triglycerides levels measured in blood at the 12-years old visit,,,1.0.0,,integer,mmol/l,,,,,,,,, -PELAGIE,pelagie_dosage12,Q12_Triglycerides,triglycerides levels measured in blood at the 12-years old visit,,,1.0.0,,integer,mmol/l,,,,,,,,, -PELAGIE,pelagie_q0,m22,Nombre d'enfants nés,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_exam12,AGE_EXAM,Age in year of the child at the 12-year-old examination,,,1.0.0,,integer,year,,,,,,,,, -ATHLETE_CDM,outcome_ath,att_hrtse_std_0,,,,,,decimal,milliseconds,,,,"Attentional function, standardized score of standard error of hit reaction time (i.e., att_hrtse_raw_0, att_hrtse_raw_1, etc.)",,,Cognitive functioning,, -PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,Age in day of the child at the 12-year-old examination,,,1.0.0,,integer,day,,,,,,,,, -PELAGIE,pelagie_exam12,AGE_EXAM_MOIS,Age in month of the child at the 12-year-old examination,,,1.0.0,,integer,month,,,,,,,,, -PELAGIE,pelagie_exam12,DATE,date of the clinical exam at 12 years old,,,1.0.0,,date,,,,,,,,,, -OOM_CDM,EUROCAT,firsttri,,,,2.2,,,,,,false,"FIRST TRIMESTER MEDICATION +son développement",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST39,39. A été diagnostiqué(e) par un professionnel de la santé avec l’une des difficultés suivantes :,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX50,1st measure of waist circumference,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST5_N,5.Il était important pour lui de faire partie d'1 groupe d'amis q1cast5,,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST6,6.Faisait attention à des détails inhabituels que les autres ignorent q1cast6,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST7,7.Avait la tendance à comprendre les choses littéralement q1cast7,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST8_N,"8.A l'âge de 3 ans, il passait beaucoup de temps à faire semblant q1cast8",,,1.0.0,,categorical,,,,,reversed before summing,,,,,,False,,,,, +PELAGIE,pelagie_GC_q11,Q1CAST9,9.Aimait faire les mêmes choses tout le temps de la même manière q1cast9,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_dosage12,Q12_CHOLESTEROL_TOTAL,total cholesterol levels measured in blood at the 12-years old visit,,,1.0.0,,integer,mmol/l,,,,,,,,,,False,,,,, +PELAGIE,pelagie_dosage12,Q12_Cholesterol_total,total cholesterol levels measured in blood at the 12-years old visit,,,1.0.0,,integer,mmol/l,,,,,,,,,,False,,,,, +PELAGIE,pelagie_dosage12,Q12_HDL,HDL levels measured in blood at the 12-years old visit,,,1.0.0,,integer,mmol/l,,,,,,,,,,False,,,,, +PELAGIE,pelagie_dosage12,Q12_LDL,LDL levels measured in blood at the 12-years old visit,,,1.0.0,,integer,mmol/l,,,,,,,,,,False,,,,, +PELAGIE,pelagie_dosage12,Q12_TRIGLYCERIDES,triglycerides levels measured in blood at the 12-years old visit,,,1.0.0,,integer,mmol/l,,,,,,,,,,False,,,,, +PELAGIE,pelagie_dosage12,Q12_Triglycerides,triglycerides levels measured in blood at the 12-years old visit,,,1.0.0,,integer,mmol/l,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m22,Nombre d'enfants nés,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,AGE_EXAM,Age in year of the child at the 12-year-old examination,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,AGE_EXAM_JOUR,Age in day of the child at the 12-year-old examination,,,1.0.0,,integer,day,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,AGE_EXAM_MOIS,Age in month of the child at the 12-year-old examination,,,1.0.0,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,DATE,date of the clinical exam at 12 years old,,,1.0.0,,date,,,,,,,,,,,False,,,,, +OOM,EUROCAT,firsttri,,,,2.2,,,,,,false,"FIRST TRIMESTER MEDICATION “Yes” means that the data sources clearly state that medication was taken in the first trimester. “No” means that the data sources clearly state that no medication was taken in the first trimester. “Undetermined” means that the usual data sources were consulted, but  it was not clearly stated that medication was either taken or not taken @@ -2251,317 +3359,314 @@ Whilst FIRSTTRI is a new variable in Guide 1.4 (for cases born from 2013 onwards 2 = No medication taken in first trimester 3 = Undetermined 4 = Medication taken,but timing unknown -9 = Not Known,Table reference: EUROCAT/EUROmediCAT.",,, -PELAGIE,pelagie_exam12,EX24,1st measure of sitting height,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX26,2nd measure of sitting height,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX28,3rd measure of sitting height,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX3,sex of child,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_exam12,EX32,Percent of body fat mass (Tanita),,,1.0.0,,integer,%,,,,,,,,, -PELAGIE,pelagie_exam12,EX39,1st measure of systolic blood pressure,,,1.0.0,,integer,mmHg,,,,,,,,, -PELAGIE,pelagie_exam12,EX40,1st measure of diastolic blood pressure,,,1.0.0,,integer,mmHg,,,,,,,,, -PELAGIE,pelagie_exam12,EX42,1st measure of pulse,,,1.0.0,,integer,bpm,,,,,,,,, -PELAGIE,pelagie_exam12,EX47,1st measure of head circumference,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX48,1st measure of arm circumference,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX50,1st measure of waist circumference,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX51,1st measure of hip circumference,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX52,1st measure of tricipital skinfold,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX54,1st measure of subscapular skinfold,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX56,2nd measure of head circumference,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX57,2nd measure of arm circumference,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX59,2nd measure of waist circumference,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX60,2nd measure of hip circumference,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX61,2nd measure of tricipital skinfold,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q0,M26,Birth weight,,,1.0.0,,integer,gram,,,,,,,,, -PELAGIE,pelagie_exam12,EX63,2nd measure of subscapular skinfold,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX65,3rd measure of head circumference,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX66,3rd measure of arm circumference,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX68,3rd measure of waist circumference,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX69,3rd measure of hip circumference,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX70,3rd measure of tricipital skinfold,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX71,3rd measure of subscapular skinfold,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_exam12,EX95,2nd measure of systolic blood pressure,,,1.0.0,,integer,mmHg,,,,,,,,, -PELAGIE,pelagie_exam12,EX96,2nd measure of diastolic blood pressure,,,1.0.0,,integer,mmHg,,,,,,,,, -PELAGIE,pelagie_exam12,EX98,2nd measure of pulse,,,1.0.0,,integer,bpm,,,,,,,,, -PELAGIE,pelagie_exam12,PB_TANITA,Any issue with the Tanita scale,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,DEBGROSF,Date de début de grossesse estimée en fin de grossesse,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q0,M10,Pathologies de la grossesse : Hypertension,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,M11,Pathologies de la grossesse : Pré-eclampsie,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,M15,Pathologies de la grossesse : Autre précisez,,,1.0.0,,string,,,,,,,,,, -PELAGIE,pelagie_q0,M16,Issue de grossesse: Fausse couche spontannée,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,M17,Issue de grossesse: IMG,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,M18,Issue de grossesse: Mort né,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,M19,Issue de grossesse: Naissance vivante,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,M21,Gestational age at delivery,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,M22,Nombre d'enfants nés,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,M23,Type d'accouchement,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,M24,Cause césarienne,,,1.0.0,,string,,,,,,,,,, -PELAGIE,pelagie_q0,M25,Sexe de l'enfant,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,M27,Birth length,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q0,M28,Head circumference at birth,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q0,M30,APGAR at 5 minutes,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,M32,Birth weight - Second twin,,,1.0.0,,integer,gram,,,,,,,,, -PELAGIE,pelagie_q0,M33,Birth length - Second twin,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q0,M34,Head circumference at birth - Second twin,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q0,M36,APGAR at 5 minutes - Second twin,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,M37,Poids du placenta,,,1.0.0,,integer,gram,,,,,,,,, -PELAGIE,pelagie_q0,M4,Antécédents médicaux de la mère : Diabète (avant la grossesse),,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,M48,Mode de début de travail,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,M49,Maternal weight at the end of the pregnancy - reported at birth from medical records,,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q0,M50,Date de la mesure du poids de la mère en fin de grossesse,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q0,M9,Pathologies de la grossesse : Diabète gestationel,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,MALFO,Malformation congénitale codée,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,P1,Within-pregnancy birth order,,,1.0.0,,integer,,,,,Within-pregnancy birth order,,,,, -PELAGIE,pelagie_q0,P6,Incidents de la période néonatale,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,P7,Hospitalisation néonatale,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,m23,Type d'accouchement,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,PCSM1CL,Quelle est (ou était) votre profession ?,,,1.0.0,,string,,,,,,,,,, -PELAGIE,pelagie_q0,PCSM1cl,Quelle est (ou était) votre profession ?,,,1.0.0,,string,,,,,,,,,, -PELAGIE,pelagie_q0,PCSPCL,Quelle profession ?,,,1.0.0,,string,,,,,,,,,, +9 = Not Known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +PELAGIE,pelagie_exam12,EX24,1st measure of sitting height,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX26,2nd measure of sitting height,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX28,3rd measure of sitting height,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX3,sex of child,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX32,Percent of body fat mass (Tanita),,,1.0.0,,integer,%,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX39,1st measure of systolic blood pressure,,,1.0.0,,integer,mmHg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX40,1st measure of diastolic blood pressure,,,1.0.0,,integer,mmHg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX42,1st measure of pulse,,,1.0.0,,integer,bpm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX47,1st measure of head circumference,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX48,1st measure of arm circumference,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX51,1st measure of hip circumference,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX52,1st measure of tricipital skinfold,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX54,1st measure of subscapular skinfold,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX56,2nd measure of head circumference,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX57,2nd measure of arm circumference,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX59,2nd measure of waist circumference,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX60,2nd measure of hip circumference,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX61,2nd measure of tricipital skinfold,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M26,Birth weight,,,1.0.0,,integer,gram,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX63,2nd measure of subscapular skinfold,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX65,3rd measure of head circumference,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX66,3rd measure of arm circumference,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX68,3rd measure of waist circumference,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX69,3rd measure of hip circumference,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX70,3rd measure of tricipital skinfold,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX71,3rd measure of subscapular skinfold,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX95,2nd measure of systolic blood pressure,,,1.0.0,,integer,mmHg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX96,2nd measure of diastolic blood pressure,,,1.0.0,,integer,mmHg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,EX98,2nd measure of pulse,,,1.0.0,,integer,bpm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_exam12,PB_TANITA,Any issue with the Tanita scale,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,DEBGROSF,Date de début de grossesse estimée en fin de grossesse,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M10,Pathologies de la grossesse : Hypertension,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M11,Pathologies de la grossesse : Pré-eclampsie,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M15,Pathologies de la grossesse : Autre précisez,,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M16,Issue de grossesse: Fausse couche spontannée,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M17,Issue de grossesse: IMG,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M18,Issue de grossesse: Mort né,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M19,Issue de grossesse: Naissance vivante,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M21,Gestational age at delivery,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M22,Nombre d'enfants nés,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M23,Type d'accouchement,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M24,Cause césarienne,,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M25,Sexe de l'enfant,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M27,Birth length,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M28,Head circumference at birth,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M30,APGAR at 5 minutes,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M32,Birth weight - Second twin,,,1.0.0,,integer,gram,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M33,Birth length - Second twin,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M34,Head circumference at birth - Second twin,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M36,APGAR at 5 minutes - Second twin,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M37,Poids du placenta,,,1.0.0,,integer,gram,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M4,Antécédents médicaux de la mère : Diabète (avant la grossesse),,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M48,Mode de début de travail,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M49,Maternal weight at the end of the pregnancy - reported at birth from medical records,,,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M50,Date de la mesure du poids de la mère en fin de grossesse,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,M9,Pathologies de la grossesse : Diabète gestationel,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,MALFO,Malformation congénitale codée,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,P1,Within-pregnancy birth order,,,1.0.0,,integer,,,,,Within-pregnancy birth order,,,,,,False,,,,, +PELAGIE,pelagie_q0,P6,Incidents de la période néonatale,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,P7,Hospitalisation néonatale,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m23,Type d'accouchement,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,PCSM1CL,Quelle est (ou était) votre profession ?,,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,PCSM1cl,Quelle est (ou était) votre profession ?,,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,PCSPCL,Quelle profession ?,,,1.0.0,,string,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q0,RECRUIT_AGE,"Age of the child Indicative of time of enrolment",,,1.0.0,,integer,day,,,,"Age of the child -Indicative of time of enrolment",,,,, -PELAGIE,pelagie_q0,SGINCLUSIONF,Gestational age at inclusion,,,1.0.0,,integer,week,,,,,,,,, -PELAGIE,pelagie_q0,SGURINES,How many weeks ago the urine sample was taken,,,1.0.0,,integer,week,,,,,,,,, -PELAGIE,pelagie_q0,V163P,Quelle est l'origine géographique de votre père,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V10,"Pour devenir enceinte de cet enfant, avez-vous arrêté volontairement votre contraception ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V111,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Fromage à pâte molle",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V112,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Fromage à pâte pressée",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V113,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Produits laitiers écrémés et demi écrémés",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V114,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Produits laitiers entier",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V115,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Œufs",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V116,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Viande ou charcuterie (sans abats)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V117,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Abats (foie, rognon, paté de foie, …)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V118,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Poisson de mer (y compris saumon)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V119,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Coquillages (huitres, moules, …)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V120,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Gros crustacés (tourteaux, araignées, …)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V121,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Petits crustacés (crevettes, langoustines,…)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V122,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Fruits et pur jus de fruits",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V123,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Légumes cuits et soupes de légumes",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V124,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Crudités etsalades",,,1.0.0,,categorical,,,,,,,,,, -ATHLETE_CDM,outcome_ath,att_instr_0,,,,,,categorical,,,,,"Cohort-specific instrument used to measure the attentional function for att_raw_0, att_raw_1, etc.",,,Cognitive functioning,, -PELAGIE,pelagie_q0,V125,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Légumes secs et légumineuses",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V126,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Pain",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V127,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Céréales pour petit déjeuner",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V13,"Pour devenir enceinte de cet enfant, combien de temps vous a-t-il fallu ?",,,1.0.0,,integer,month,,,,,,,,, -PELAGIE,pelagie_q0,V130,Indiquez combien de verres consommez-vous actuellement par jour: Vins,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V131,Indiquez combien de verres consommez-vous actuellement par jour: Cidre ou bière,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V132,Indiquez combien de verres consommez-vous actuellement par jour: Apéritifs,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V135,Fumez-vous actuellement ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V136,"Si non, avez-vous déjà fumé de façon régulière ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V137,Combien de cigarettes par jour fumiez-vous en moyenne ?,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,V139,Quand avez-vous arrêté ?,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q0,V14,Avez-vous suivi un traitement pour favoriser cette grossesse ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V140,Combien de cigarettes par jour fumez-vous actuellement en moyenne ?,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,V15,"Si oui, quel traitement avez-vous suivi ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V155,"Au cours des 3 derniers mois, avez-vous pris des suppléments vitaminiques ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V156,"Au cours des trois derniers mois, avez-vous pris des suppléments vitaminiques (type Elevit B9, Oligobs, Tardyferon B9,…) et si oui, lesquels ?",,,1.0.0,,string,,,,,,,,,, -PELAGIE,pelagie_q0,V157,A quelle date (mois) ?,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q0,V158,A quelle date (année) ?,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q0,V159,Pendant combien de jours (avez-vous pris des suppléments vitaminiques) ?,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,V16,S'agit-il de votre première grossesse ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V160,Quelle est votre date de naissance ?,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q0,V162,Quel est votre lieu de naissance (Département ou pays),,,1.0.0,,string,,,,,,,,,, -PELAGIE,pelagie_q0,V163M,Quelle est l'origine géographique de votre mère,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V165,Quelle est votre taille ?,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q0,V166,Quel était votre poids avant la grossesse ?,,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q0,V168,What is your familly status,,,1.0.0,,categorical,,,,,Familly status of the mother at inclusion,,,,, -PELAGIE,pelagie_q0,V169,Votre conjoint exerce-t-il une profession actuellement ?,,,1.0.0,,categorical,,,,,,,,,, -ATHLETE_CDM,outcome_ath,att_om_pc_0,,,,,,decimal,,,,,"Attentional function, percentiles of number of omissions (i.e., att_om_raw_0, att_pro_raw_1, etc.)",,,Cognitive functioning,, -PELAGIE,pelagie_q0,V181,"Au cours des 3 derniers mois, avez-vous eu de la fièvre (>38)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V194,Votre conjoint fume-t-il actuellement ou a-t-il déjà fumé dans le passé ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V195,Combien de cigarette par jour en moyenne,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,V197,"S'il a arrêté de fumer, à quelle date (mois)",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,V198,"S'il a arrêté de fumer, à quelle date (année)",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,V1_V2_V3,Unique identifier number for the mother,,,1.0.0,,integer,,,,,Unique identifier number for the mother,,,,, -PELAGIE,pelagie_q0,V203,"La 7e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,m32,Birth weight - Second twin,,,1.0.0,,integer,gram,,,,,,,,, -PELAGIE,pelagie_q0,V208,"La 8e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V22,"La 1ere grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V27,"La 2e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V32,"La 3e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V37,"La 4e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V4,Inclusion date,,,1.0.0,,date,,,,,Date of inclusion,,,,, -PELAGIE,pelagie_q0,V42,"La 5e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V47,"La 6e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V49,Quel niveau d'études avez-vous atteint ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V5,Date of last menstruation,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q0,V50,Exercez-vous une profession actuellement ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,V9,"Avant de devenir enceinte de cet enfant, quelle étaot votre méthode de contraception ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,m10,Pathologies de la grossesse : Hypertension,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,m11,Pathologies de la grossesse : Pré-eclampsie,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,m15,Pathologies de la grossesse : Autre précisez,,,1.0.0,,string,,,,,,,,,, -PELAGIE,pelagie_q0,m16,Issue de grossesse: Fausse couche spontannée,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,m17,Issue de grossesse: IMG,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,m18,Issue de grossesse: Mort né,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,m19,Issue de grossesse: Naissance vivante,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,m21,Gestational age at delivery,,,1.0.0,,integer,,,,,,,,,, -MBRN,MBRN,HJERTE_MISD,Heart malformation,,,1.0,,,,,,,,,,,,1 = Yes -PELAGIE,pelagie_q0,m24,Cause césarienne,,,1.0.0,,string,,,,,,,,,, -PELAGIE,pelagie_q0,m25,Sexe de l'enfant,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,m26,Birth weight,,,1.0.0,,integer,gram,,,,,,,,, -PELAGIE,pelagie_q0,m27,Birth length,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q0,m28,Head circumference at birth,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q0,m30,APGAR at 5 minutes,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,m33,Birth length - Second twin,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q0,m34,Head circumference at birth - Second twin,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q0,m36,APGAR at 5 minutes - Second twin,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,m37,Poids du placenta,,,1.0.0,,integer,gram,,,,,,,,, -PELAGIE,pelagie_q0,m4,Antécédents médicaux de la mère : Diabète (avant la grossesse),,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,m48,Mode de début de travail,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,m49,Maternal weight at the end of the pregnancy - reported at birth from medical records,,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q0,m50,Date de la mesure du poids de la mère en fin de grossesse,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q0,m9,Pathologies de la grossesse : Diabète gestationel,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,malfo,Malformation congénitale codée,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,p6,Incidents de la période néonatale,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,p7,Hospitalisation néonatale,,,1.0.0,,categorical,,,,,,,,,, +Indicative of time of enrolment",,,,,,False,,,,, +PELAGIE,pelagie_q0,SGINCLUSIONF,Gestational age at inclusion,,,1.0.0,,integer,week,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,SGURINES,How many weeks ago the urine sample was taken,,,1.0.0,,integer,week,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V163P,Quelle est l'origine géographique de votre père,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V10,"Pour devenir enceinte de cet enfant, avez-vous arrêté volontairement votre contraception ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V111,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Fromage à pâte molle",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V112,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Fromage à pâte pressée",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V113,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Produits laitiers écrémés et demi écrémés",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V114,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Produits laitiers entier",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V115,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Œufs",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V116,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Viande ou charcuterie (sans abats)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V117,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Abats (foie, rognon, paté de foie, …)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V118,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Poisson de mer (y compris saumon)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V119,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Coquillages (huitres, moules, …)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V120,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Gros crustacés (tourteaux, araignées, …)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V121,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Petits crustacés (crevettes, langoustines,…)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V122,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Fruits et pur jus de fruits",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V123,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Légumes cuits et soupes de légumes",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V124,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Crudités etsalades",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V125,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Légumes secs et légumineuses",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V126,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Pain",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V127,"Avant d'être enceinte, à quelle fréquence mangiez-vous habituellement : Céréales pour petit déjeuner",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V13,"Pour devenir enceinte de cet enfant, combien de temps vous a-t-il fallu ?",,,1.0.0,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V130,Indiquez combien de verres consommez-vous actuellement par jour: Vins,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V131,Indiquez combien de verres consommez-vous actuellement par jour: Cidre ou bière,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V132,Indiquez combien de verres consommez-vous actuellement par jour: Apéritifs,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V135,Fumez-vous actuellement ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V136,"Si non, avez-vous déjà fumé de façon régulière ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V137,Combien de cigarettes par jour fumiez-vous en moyenne ?,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V139,Quand avez-vous arrêté ?,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V14,Avez-vous suivi un traitement pour favoriser cette grossesse ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V140,Combien de cigarettes par jour fumez-vous actuellement en moyenne ?,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V15,"Si oui, quel traitement avez-vous suivi ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V155,"Au cours des 3 derniers mois, avez-vous pris des suppléments vitaminiques ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V156,"Au cours des trois derniers mois, avez-vous pris des suppléments vitaminiques (type Elevit B9, Oligobs, Tardyferon B9,…) et si oui, lesquels ?",,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V157,A quelle date (mois) ?,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V158,A quelle date (année) ?,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V159,Pendant combien de jours (avez-vous pris des suppléments vitaminiques) ?,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V16,S'agit-il de votre première grossesse ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V160,Quelle est votre date de naissance ?,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V162,Quel est votre lieu de naissance (Département ou pays),,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V163M,Quelle est l'origine géographique de votre mère,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V165,Quelle est votre taille ?,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V166,Quel était votre poids avant la grossesse ?,,,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V168,What is your familly status,,,1.0.0,,categorical,,,,,Familly status of the mother at inclusion,,,,,,False,,,,, +PELAGIE,pelagie_q0,V169,Votre conjoint exerce-t-il une profession actuellement ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V181,"Au cours des 3 derniers mois, avez-vous eu de la fièvre (>38)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V194,Votre conjoint fume-t-il actuellement ou a-t-il déjà fumé dans le passé ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V195,Combien de cigarette par jour en moyenne,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V197,"S'il a arrêté de fumer, à quelle date (mois)",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V198,"S'il a arrêté de fumer, à quelle date (année)",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V1_V2_V3,Unique identifier number for the mother,,,1.0.0,,integer,,,,,Unique identifier number for the mother,,,,,,False,,,,, +PELAGIE,pelagie_q0,V203,"La 7e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m32,Birth weight - Second twin,,,1.0.0,,integer,gram,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V208,"La 8e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V22,"La 1ere grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V27,"La 2e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V32,"La 3e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V37,"La 4e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V4,Inclusion date,,,1.0.0,,date,,,,,Date of inclusion,,,,,,False,,,,, +PELAGIE,pelagie_q0,V42,"La 5e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V47,"La 6e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V49,Quel niveau d'études avez-vous atteint ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V5,Date of last menstruation,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V50,Exercez-vous une profession actuellement ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,V9,"Avant de devenir enceinte de cet enfant, quelle étaot votre méthode de contraception ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m10,Pathologies de la grossesse : Hypertension,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m11,Pathologies de la grossesse : Pré-eclampsie,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m15,Pathologies de la grossesse : Autre précisez,,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m16,Issue de grossesse: Fausse couche spontannée,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m17,Issue de grossesse: IMG,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m18,Issue de grossesse: Mort né,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m19,Issue de grossesse: Naissance vivante,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m21,Gestational age at delivery,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +MBRN,MBRN,HJERTE_MISD,Heart malformation,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +PELAGIE,pelagie_q0,m24,Cause césarienne,,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m25,Sexe de l'enfant,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m26,Birth weight,,,1.0.0,,integer,gram,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m27,Birth length,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m28,Head circumference at birth,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m30,APGAR at 5 minutes,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m33,Birth length - Second twin,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m34,Head circumference at birth - Second twin,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m36,APGAR at 5 minutes - Second twin,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m37,Poids du placenta,,,1.0.0,,integer,gram,,,,,,,,,,False,,,,, +MBRN,MBRN_mother,EPISIOTOMI,Episiotomy,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +PELAGIE,pelagie_q0,m4,Antécédents médicaux de la mère : Diabète (avant la grossesse),,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m48,Mode de début de travail,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m49,Maternal weight at the end of the pregnancy - reported at birth from medical records,,,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m50,Date de la mesure du poids de la mère en fin de grossesse,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,m9,Pathologies de la grossesse : Diabète gestationel,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,malfo,Malformation congénitale codée,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,p6,Incidents de la période néonatale,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,p7,Hospitalisation néonatale,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q0,recruit_age,"Age of the child Indicative of time of enrolment",,,1.0.0,,integer,day,,,,"Age of the child -Indicative of time of enrolment",,,,, -PELAGIE,pelagie_q0,v10,"Pour devenir enceinte de cet enfant, avez-vous arrêté volontairement votre contraception ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v13,"Pour devenir enceinte de cet enfant, combien de temps vous a-t-il fallu ?",,,1.0.0,,integer,month,,,,,,,,, -PELAGIE,pelagie_q0,v130,Indiquez combien de verres consommez-vous actuellement par jour: Vins,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v131,Indiquez combien de verres consommez-vous actuellement par jour: Cidre ou bière,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v132,Indiquez combien de verres consommez-vous actuellement par jour: Apéritifs,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v135,Fumez-vous actuellement ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v136,"Si non, avez-vous déjà fumé de façon régulière ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v137,Combien de cigarettes par jour fumiez-vous en moyenne ?,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,v139,Quand avez-vous arrêté ?,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q0,v14,Avez-vous suivi un traitement pour favoriser cette grossesse ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pepsy,OMISSION_NON_TARGET,Commission,,,1.0.0,,integer,,,,,"Binary items, to be summed up",,,,, -PELAGIE,pelagie_q0,v140,Combien de cigarettes par jour fumez-vous actuellement en moyenne ?,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,v15,"Si oui, quel traitement avez-vous suivi ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v156,"Au cours des trois derniers mois, avez-vous pris des suppléments vitaminiques (type Elevit B9, Oligobs, Tardyferon B9,…) et si oui, lesquels ?",,,1.0.0,,string,,,,,,,,,, -PELAGIE,pelagie_q0,v157,A quelle date (mois) ?,,,1.0.0,,,,,,,,,,,, -PELAGIE,pelagie_q0,v158,A quelle date (année) ?,,,1.0.0,,,,,,,,,,,, -PELAGIE,pelagie_q0,v159,Pendant combien de jours (avez-vous pris des suppléments vitaminiques) ?,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,v16,S'agit-il de votre première grossesse ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v160,Quelle est votre date de naissance ?,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q0,v162,Quel est votre lieu de naissance (Département ou pays),,,1.0.0,,string,,,,,,,,,, -PELAGIE,pelagie_q0,v163m,Quelle est l'origine géographique de votre mère,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v163p,Quelle est l'origine géographique de votre père,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v165,Quelle est votre taille ?,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q0,v166,Quel était votre poids avant la grossesse ?,,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q0,v168,What is your familly status,,,1.0.0,,categorical,,,,,Familly status of the mother at inclusion,,,,, -PELAGIE,pelagie_q0,v169,Votre conjoint exerce-t-il une profession actuellement ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v181,"Au cours des 3 derniers mois, avez-vous eu de la fièvre (>38)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v194,Votre conjoint fume-t-il actuellement ou a-t-il déjà fumé dans le passé ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v195,Combien de cigarette par jour en moyenne,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,v197,"S'il a arrêté de fumer, à quelle date (mois)",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,v198,"S'il a arrêté de fumer, à quelle date (année)",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q0,v1_v2_v3,Unique identifier number for the mother,,,1.0.0,,integer,,,,,Unique identifier number for the mother,,,,, -PELAGIE,pelagie_q0,v203,"La 7e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v208,"La 8e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v22,"La 1ere grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v27,"La 2e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q11_6,Has your child ever had eczema or atopic dermatitis?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v32,"La 3e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v37,"La 4e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v4,Inclusion date,,,1.0.0,,date,,,,,Date of inclusion,,,,, -PELAGIE,pelagie_q0,v42,"La 5e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -ATHLETE_CDM,outcome_ath,bedR_eval_10,,,,,,binary,,,,,"How was the binge eating medical diagnosis reported for bedR_10, bedR_11, etc assessed.",,,Behavioral problem domains,, -OOM_CDM,EUROCAT,folic_g14,,,,2.2,,,,,,false,"FOLIC ACID SUPPLEMENTATION +Indicative of time of enrolment",,,,,,False,,,,, +PELAGIE,pelagie_q0,v10,"Pour devenir enceinte de cet enfant, avez-vous arrêté volontairement votre contraception ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v13,"Pour devenir enceinte de cet enfant, combien de temps vous a-t-il fallu ?",,,1.0.0,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v130,Indiquez combien de verres consommez-vous actuellement par jour: Vins,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v131,Indiquez combien de verres consommez-vous actuellement par jour: Cidre ou bière,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v132,Indiquez combien de verres consommez-vous actuellement par jour: Apéritifs,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v135,Fumez-vous actuellement ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v136,"Si non, avez-vous déjà fumé de façon régulière ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v137,Combien de cigarettes par jour fumiez-vous en moyenne ?,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v139,Quand avez-vous arrêté ?,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v14,Avez-vous suivi un traitement pour favoriser cette grossesse ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pepsy,OMISSION_NON_TARGET,Commission,,,1.0.0,,integer,,,,,"Binary items, to be summed up",,,,,,False,,,,, +PELAGIE,pelagie_q0,v140,Combien de cigarettes par jour fumez-vous actuellement en moyenne ?,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v15,"Si oui, quel traitement avez-vous suivi ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v156,"Au cours des trois derniers mois, avez-vous pris des suppléments vitaminiques (type Elevit B9, Oligobs, Tardyferon B9,…) et si oui, lesquels ?",,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v157,A quelle date (mois) ?,,,1.0.0,,,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v158,A quelle date (année) ?,,,1.0.0,,,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v159,Pendant combien de jours (avez-vous pris des suppléments vitaminiques) ?,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v16,S'agit-il de votre première grossesse ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v160,Quelle est votre date de naissance ?,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v162,Quel est votre lieu de naissance (Département ou pays),,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v163m,Quelle est l'origine géographique de votre mère,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v163p,Quelle est l'origine géographique de votre père,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v165,Quelle est votre taille ?,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v166,Quel était votre poids avant la grossesse ?,,,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v168,What is your familly status,,,1.0.0,,categorical,,,,,Familly status of the mother at inclusion,,,,,,False,,,,, +PELAGIE,pelagie_q0,v169,Votre conjoint exerce-t-il une profession actuellement ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v181,"Au cours des 3 derniers mois, avez-vous eu de la fièvre (>38)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v194,Votre conjoint fume-t-il actuellement ou a-t-il déjà fumé dans le passé ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v195,Combien de cigarette par jour en moyenne,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v197,"S'il a arrêté de fumer, à quelle date (mois)",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v198,"S'il a arrêté de fumer, à quelle date (année)",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v1_v2_v3,Unique identifier number for the mother,,,1.0.0,,integer,,,,,Unique identifier number for the mother,,,,,,False,,,,, +PELAGIE,pelagie_q0,v203,"La 7e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v208,"La 8e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v22,"La 1ere grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v27,"La 2e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q11_6,Has your child ever had eczema or atopic dermatitis?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v32,"La 3e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v37,"La 4e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v4,Inclusion date,,,1.0.0,,date,,,,,Date of inclusion,,,,,,False,,,,, +PELAGIE,pelagie_q0,v42,"La 5e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +OOM,EUROCAT,folic_g14,,,,2.2,,,,,,false,"FOLIC ACID SUPPLEMENTATION Recommend to your local maternity hospitals or midwives to collect these data. Folic acid supplementations include folic acid only tablets, a multivitamin preparation which contains folic acid or contraceptive pills which contain folic acid. If the folic acid dose is high, please add the code B03BB01 in the drugs variable",,"1 = Folic acid taken pre and post-conceptionally 2 = Folic acid taken only post-conceptionally 3 = Folic acid not taken 4 = Folic acid taken,timing unknown -9 = Not known if folic acid taken,Table reference: EUROCAT/EUROmediCAT.",,, -PELAGIE,pelagie_q0,v47,"La 6e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v49,Quel niveau d'études avez-vous atteint ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v5,Date of last menstruation,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q0,v50,Exercez-vous une profession actuellement ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q0,v9,"Avant de devenir enceinte de cet enfant, quelle étaot votre méthode de contraception ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,AGE_Q12,Child age at the 12-year-old questionnaire,,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,pelagie_q12,APP_Q1_1,"Actuellement, la mère de l’enfant a-t-elle une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,APP_Q2,"Quel niveau d’études, la mère de l’enfant a-t-elle atteint à ce jour ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,APP_Q3_1,"Actuellement, le père de l'enfant a-t-il une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,APP_Q4,Quel niveau d'études le père de l'enfant a-t-il atteint à ce jour ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,APP_q4,Quel niveau d'études le père de l'enfant a-t-il atteint à ce jour ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,CT_Q1_1,"1. Actuellement, fumez-vous du tabac ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,CT_Q1_2,"1. Actuellement, fumez-vous du tabac ? Combien de cigarette / jour ?",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q12,CT_Q2_1,2. Est-ce qu’une autre des personnes vivant à la maison avec vous et l’enfant fume du tabac ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,CT_Q2_2,2. Est-ce qu’une autre des personnes vivant à la maison avec vous et l’enfant fume du tabac ? Combien de personnes ?,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q12,CT_Q3_1,"3. Actuellement, votre enfant fume t-il du tabac ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,CT_Q3_2,"3. Actuellement, votre enfant fume t-il du tabac ? Combien de cigarette / jour ?",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q12,CT_Q4_1,"4. Si l’enfant vit également dans un autre domicile, pourriez-vous préciser s’il y a des personnes qui fument du tabac ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pepsy,WISCC,WISC-IV: Block Design,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q12,CT_Q4_2,"4. Si l’enfant vit également dans un autre domicile, pourriez-vous préciser s’il y a des personnes qui fument du tabac ? Combien de personnes ?",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q12,DATE,date at answer to the 12 years old questionnaire,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q12,FA_Q2_1,2. Quelle est votre situation actuelle vis-à-vis de l’autre parent de l’enfant ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,FA_Q2_2_A,"Si vous êtes Divorcé(e), Séparé(e) ou Veuf(ve)  : Pouvez-vous nous indiquer depuis quand ? Année",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q12,FA_Q2_2_M,"Si vous êtes Divorcé(e), Séparé(e) ou Veuf(ve)  : Pouvez-vous nous indiquer depuis quand ? Mois",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q12,FA_Q2_3,"Si vous êtes Divorcé(e), Séparé(e) ou Veuf(ve)  : Quelle est votre situation actuelle ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,FA_Q3_1,Combien de personnes vivent avec l'enfant habituellement dans votre domicile ? - Adultes,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q12,FA_Q3_2,Combien de personnes vivent avec l'enfant habituellement dans votre domicile ? - Enfants de moins de 21 ans,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q12,LV_Q3_1,Avez-vous actuellement un animal domestique ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SCD_Q1,Poids de l'enfant,,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q12,SCD_Q2,Taille de l'enfant,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q12,SP_Q1_2,1. Quel est votre poids actuel ? Père,,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q12,SP_Q2_2,2. Quelle est votre taille ? Père,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q12,SP_Q4_2_1,4. Avez-vous déjà eu un diagnostic médical d'asthme - Père,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SP_Q4_2_5,4. Avez-vous déjà eu un diagnostic médical de - Diabète (hors gestationnel) - Père,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q10_1,"Has your child ever had: hay fever, i.e. an allergy to pollen?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q10_1_A,Hay fever. Specify: at what age? Years,,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q10_2,"Has your child ever had: another form of allergic rhinitis (to dust, to cats, etc.)?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q10_2_A,Inhalant allergy. Specify: at what age? Years,,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q10_2_M,Inhalant allergy. Specify: at what age? Month,,,1.0.0,,integer,month,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q11_1,"Has your child ever had an itchy rash (red patches, pimples, etc.) on the skin that appears and disappears intermittently over a period of at least 6 months?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q11_2,Has he/she had this rash in the last 12 months?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q11_3,"Has this itchy rash affected any of these areas: the folds of the elbows, behind the knees, in front of the ankles, the buttocks, around the neck, around the eyes or ears?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q11_4_A,At what age did these rashes first appear? Years,,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q11_6_A,Eczema or atopic dermatitis. Specify: at what age? Years,,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q12_1,"Since your child was born, has a doctor ever told you that your child has eczema?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q12_A,Eczema. Specify: at what age? Years,,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q13_1,"Since your child was born, has a doctor ever told you that your child has a food allergy?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q13_A,At what age did he/she first have a food allergy? Years,,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q1_1,"Since birth, has your child ever had wheezing at any time in their life?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q1_2,"During the past 12 months, have your child had wheezing at any time?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q1_3_A,At what age did they have their first wheezing attack? Years,,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q1_4_A,At what age did they have their last wheezing attack? Years,,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q7_1,"Has your child been diagnosed with asthma, confirmed by a doctor?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q7_2_A,"Diagnosis of asthma confirmed, Specify: at what age? Years",,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q8_1,"Has your child ever had sneezing, a runny nose or a blocked nose without having a respiratory infection (neither a cold, nor rhinopharyngitis, nor flu...)?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q8_2,"Sneezing, runny nose... was it during the last 12 months?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q8_4_2_A,At what age did he/she first have problems of sneezing and runny nose? Years,,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q9_1,"Has your child been diagnosed with allergic rhinitis or conjunctivitis, confirmed by a doctor?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,SRA_Q9_2_A,Diagnosis of allergic rhinitis or conjunctivitis. Specify: at what age? Years,,,1.0.0,,integer,year,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_10,"A la bougeotte, ne tient pas en place, se tortille constamment",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_11,A au moins un(e) ami(e),,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_12,"Se bagarre souvent, s’amuse à faire faire aux autres ce qu’il veut",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_13,Est souvent malheureux(se) ou pleure souvent,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_14,Est généralement aimé(e) des autres enfants de son âge,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_15,"Est facilement distrait(e), a du mal à se concentrer",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_16,"Est anxieux(se) dans des situations nouvelles, perd facilement ses moyens",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_18,Est souvent accusé de mentir ou de tricher,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,AGE_Q2ANS,Child age at 2-years-old follow-up,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,a8,Si vous ne vivez pas avec la mère de l’enfant :,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_19,Se fait souvent embêter ou tyranniser par les autres enfants de son âge,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_2,"Est agité(e), turbulent(e), hyperactif(ve), ne tient pas en place",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_21,Réfléchit avant d’agir,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_22,"Prend des choses qui ne lui appartiennent pas, à la maison, à l’école ou ailleurs",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_23,S’entend mieux avec les adultes qu’avec d’autres enfants de son âge,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_24,"A souvent peur, est facilement effrayé(e)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_25,"Est capable de se concentrer sur des tâches, a une bonne capacité d’attention",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_3,"Se plaint souvent de maux de tête ou de ventre, ou de nausées",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_5,"S’énerve facilement, se mets souvent en colère",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_6,"Est plutôt solitaire, a tendance à jouer seul(e) ou se tenir à l’écart",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_7,Est en général obéissant(e) envers les adultes,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,VQ_Q7_8,"S’inquiète souvent, paraît souvent soucieux(se)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,app_q1_1,"Actuellement, la mère de l’enfant a-t-elle une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,app_q3_1,"Actuellement, le père de l'enfant a-t-il une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q12,date,Date de réponse au questionnaire 12 ans,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q12,sp_q1_2,1. Quel est votre poids actuel ? Père,,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q12,sp_q2_2,2. Quelle est votre taille ? Père,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q2,A44,"Actuellement, fumez-vous du tabac ? - Père",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,A5,Habitez-vous avec votre enfant ? (père),,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,A6,"Si non, est-ce parce que…",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,A8,Si vous ne vivez pas avec la mère de l’enfant :,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B117,"Since birth, has your child ever had otitis?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B121,"Since birth, has your child ever had bronchiolitis or bronchitis?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B126,"Since birth, has your child ever had sneezing, a runny nose or a blocked nose without having a respiratory infection (neither a cold, nor rhinopharyngitis, nor flu...)?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B127,"If yes (B126), were these nose problems accompanied by watery (tears) and itchy (scratching) eyes in the last 12 months?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B128,"Since birth, has your child ever had wheezing at any time in their life?",,,1.0.0,,categorical,,,,,,,,,, +9 = Not known if folic acid taken,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +PELAGIE,pelagie_q0,v47,"La 6e grossesse s'est-elle terminée par : (naissance vivante, fausse couche, IVG, IMG, mort-né, grossesse extra-uterine) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v49,Quel niveau d'études avez-vous atteint ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v5,Date of last menstruation,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v50,Exercez-vous une profession actuellement ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q0,v9,"Avant de devenir enceinte de cet enfant, quelle étaot votre méthode de contraception ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,AGE_Q12,Child age at the 12-year-old questionnaire,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,APP_Q1_1,"Actuellement, la mère de l’enfant a-t-elle une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,APP_Q2,"Quel niveau d’études, la mère de l’enfant a-t-elle atteint à ce jour ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,APP_Q3_1,"Actuellement, le père de l'enfant a-t-il une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,APP_Q4,Quel niveau d'études le père de l'enfant a-t-il atteint à ce jour ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,APP_q4,Quel niveau d'études le père de l'enfant a-t-il atteint à ce jour ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,CT_Q1_1,"1. Actuellement, fumez-vous du tabac ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,CT_Q1_2,"1. Actuellement, fumez-vous du tabac ? Combien de cigarette / jour ?",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,CT_Q2_1,2. Est-ce qu’une autre des personnes vivant à la maison avec vous et l’enfant fume du tabac ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,CT_Q2_2,2. Est-ce qu’une autre des personnes vivant à la maison avec vous et l’enfant fume du tabac ? Combien de personnes ?,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,CT_Q3_1,"3. Actuellement, votre enfant fume t-il du tabac ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,CT_Q3_2,"3. Actuellement, votre enfant fume t-il du tabac ? Combien de cigarette / jour ?",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,CT_Q4_1,"4. Si l’enfant vit également dans un autre domicile, pourriez-vous préciser s’il y a des personnes qui fument du tabac ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pepsy,WISCC,WISC-IV: Block Design,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,CT_Q4_2,"4. Si l’enfant vit également dans un autre domicile, pourriez-vous préciser s’il y a des personnes qui fument du tabac ? Combien de personnes ?",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,DATE,date at answer to the 12 years old questionnaire,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,FA_Q2_1,2. Quelle est votre situation actuelle vis-à-vis de l’autre parent de l’enfant ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,FA_Q2_2_A,"Si vous êtes Divorcé(e), Séparé(e) ou Veuf(ve)  : Pouvez-vous nous indiquer depuis quand ? Année",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,FA_Q2_2_M,"Si vous êtes Divorcé(e), Séparé(e) ou Veuf(ve)  : Pouvez-vous nous indiquer depuis quand ? Mois",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,FA_Q2_3,"Si vous êtes Divorcé(e), Séparé(e) ou Veuf(ve)  : Quelle est votre situation actuelle ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,FA_Q3_1,Combien de personnes vivent avec l'enfant habituellement dans votre domicile ? - Adultes,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,FA_Q3_2,Combien de personnes vivent avec l'enfant habituellement dans votre domicile ? - Enfants de moins de 21 ans,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,LV_Q3_1,Avez-vous actuellement un animal domestique ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SCD_Q1,Poids de l'enfant,,,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SCD_Q2,Taille de l'enfant,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SP_Q1_2,1. Quel est votre poids actuel ? Père,,,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SP_Q2_2,2. Quelle est votre taille ? Père,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SP_Q4_2_1,4. Avez-vous déjà eu un diagnostic médical d'asthme - Père,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SP_Q4_2_5,4. Avez-vous déjà eu un diagnostic médical de - Diabète (hors gestationnel) - Père,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q10_1,"Has your child ever had: hay fever, i.e. an allergy to pollen?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q10_1_A,Hay fever. Specify: at what age? Years,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q10_2,"Has your child ever had: another form of allergic rhinitis (to dust, to cats, etc.)?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q10_2_A,Inhalant allergy. Specify: at what age? Years,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q10_2_M,Inhalant allergy. Specify: at what age? Month,,,1.0.0,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q11_1,"Has your child ever had an itchy rash (red patches, pimples, etc.) on the skin that appears and disappears intermittently over a period of at least 6 months?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q11_2,Has he/she had this rash in the last 12 months?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q11_3,"Has this itchy rash affected any of these areas: the folds of the elbows, behind the knees, in front of the ankles, the buttocks, around the neck, around the eyes or ears?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q11_4_A,At what age did these rashes first appear? Years,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q11_6_A,Eczema or atopic dermatitis. Specify: at what age? Years,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q12_1,"Since your child was born, has a doctor ever told you that your child has eczema?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q12_A,Eczema. Specify: at what age? Years,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q13_1,"Since your child was born, has a doctor ever told you that your child has a food allergy?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q13_A,At what age did he/she first have a food allergy? Years,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q1_1,"Since birth, has your child ever had wheezing at any time in their life?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q1_2,"During the past 12 months, have your child had wheezing at any time?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q1_3_A,At what age did they have their first wheezing attack? Years,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q1_4_A,At what age did they have their last wheezing attack? Years,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q7_1,"Has your child been diagnosed with asthma, confirmed by a doctor?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q7_2_A,"Diagnosis of asthma confirmed, Specify: at what age? Years",,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q8_1,"Has your child ever had sneezing, a runny nose or a blocked nose without having a respiratory infection (neither a cold, nor rhinopharyngitis, nor flu...)?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q8_2,"Sneezing, runny nose... was it during the last 12 months?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q8_4_2_A,At what age did he/she first have problems of sneezing and runny nose? Years,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q9_1,"Has your child been diagnosed with allergic rhinitis or conjunctivitis, confirmed by a doctor?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,SRA_Q9_2_A,Diagnosis of allergic rhinitis or conjunctivitis. Specify: at what age? Years,,,1.0.0,,integer,year,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_10,"A la bougeotte, ne tient pas en place, se tortille constamment",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_11,A au moins un(e) ami(e),,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_12,"Se bagarre souvent, s’amuse à faire faire aux autres ce qu’il veut",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_13,Est souvent malheureux(se) ou pleure souvent,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_14,Est généralement aimé(e) des autres enfants de son âge,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_15,"Est facilement distrait(e), a du mal à se concentrer",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_16,"Est anxieux(se) dans des situations nouvelles, perd facilement ses moyens",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_18,Est souvent accusé de mentir ou de tricher,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,AGE_Q2ANS,Child age at 2-years-old follow-up,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,a8,Si vous ne vivez pas avec la mère de l’enfant :,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_19,Se fait souvent embêter ou tyranniser par les autres enfants de son âge,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_2,"Est agité(e), turbulent(e), hyperactif(ve), ne tient pas en place",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_21,Réfléchit avant d’agir,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_22,"Prend des choses qui ne lui appartiennent pas, à la maison, à l’école ou ailleurs",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_23,S’entend mieux avec les adultes qu’avec d’autres enfants de son âge,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_24,"A souvent peur, est facilement effrayé(e)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_25,"Est capable de se concentrer sur des tâches, a une bonne capacité d’attention",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_3,"Se plaint souvent de maux de tête ou de ventre, ou de nausées",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_5,"S’énerve facilement, se mets souvent en colère",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_6,"Est plutôt solitaire, a tendance à jouer seul(e) ou se tenir à l’écart",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_7,Est en général obéissant(e) envers les adultes,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,VQ_Q7_8,"S’inquiète souvent, paraît souvent soucieux(se)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,app_q1_1,"Actuellement, la mère de l’enfant a-t-elle une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,app_q3_1,"Actuellement, le père de l'enfant a-t-il une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,date,Date de réponse au questionnaire 12 ans,,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,sp_q1_2,1. Quel est votre poids actuel ? Père,,,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q12,sp_q2_2,2. Quelle est votre taille ? Père,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,A44,"Actuellement, fumez-vous du tabac ? - Père",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,A5,Habitez-vous avec votre enfant ? (père),,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,A6,"Si non, est-ce parce que…",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,A8,Si vous ne vivez pas avec la mère de l’enfant :,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B117,"Since birth, has your child ever had otitis?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B121,"Since birth, has your child ever had bronchiolitis or bronchitis?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B126,"Since birth, has your child ever had sneezing, a runny nose or a blocked nose without having a respiratory infection (neither a cold, nor rhinopharyngitis, nor flu...)?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B127,"If yes (B126), were these nose problems accompanied by watery (tears) and itchy (scratching) eyes in the last 12 months?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B128,"Since birth, has your child ever had wheezing at any time in their life?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, RMR,RMR,luogoacc,Place violent cause,,,1.0,,,,,,,"Non trovo MEV_GD MEV_TI",,,,,"Place where the accident, work accident, suicide or murder occurred. Codes: ""1"" = House @@ -2575,264 +3680,280 @@ RMR,RMR,luogoacc,Place violent cause,,,1.0,,,,,,,"Non trovo MEV_GD ""9"" = Public building ""10"" = Collective institution ""11"" = Other specified place - ""12"" = Place not specified." -PELAGIE,pelagie_q2,B129,"If yes (B128), how many times had your child had wheezing episodes since birth and until the age of 1 year?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B130,"If yes (B128), how many times had your child had wheezing episodes between 1 and 2 years old?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B134,Did the asthma attacks require treatment prescribed by a physician at least once?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B138,Did the asthma attacks require treatment prescribed by a physician at least once?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B142,Was your child medically diagnosed with asthma before the age of 1?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B143,Was your child medically diagnosed with asthma after the age of 1?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B144,"Has your child ever had an itchy rash (red patches, pimples, etc.) on the skin that appears and disappears intermittently?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B145,"Itchy rash. If yes, was it before the age of 1 year?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B146,"Itchy rash. If yes, was it after the age of 1 year?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B147,"Has this itchy rash affected any of these areas: the folds of the elbows, behind the knees, in front of the ankles, the buttocks, around the neck, around the eyes or ears?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B150,Has your child been diagnosed with eczema by a medical doctor?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B151,"Eczema medical diagnosis. If yes, was it before the age of 1 year old?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B152,"Eczema medical diagnosis. If yes, was it after the age of 1 year old?",,,1.0.0,,categorical,,,,,,,,,, -ATHLETE_CDM,outcome_ath,bedR_wave_1,,,,,,integer,,,,,Which wave of binge eating disorder diagnosis was recorded?,,,Behavioral problem domains,, -PELAGIE,pelagie_q2,B153,"Has your child been diagnosed with intolerance to cow's milk protein, confirmed by a doctor?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B154,"Intolerance to cow's milk protein. If yes, was it before the age of 1 year?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B155,"Intolerance to cow's milk protein. If yes, was it after the age of 1 year?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B162,Has your child been diagnosed with food allergy by a medical doctor?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B164,Food allergy diagnosis. At what age?,,,1.0.0,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,B21,Date de la mesure du poids et de la taille de l'enfant,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q2,B22,Poids de l'enfant,,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q2,B23,Taille de l'enfant,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q2,B24,Périmètre cranien,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q2,B295,"Le plus souvent, à quelle heure votre enfant se couche-t-il le soir ? Heure",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,B295B,"Le plus souvent, à quelle heure votre enfant se couche-t-il le soir ? Heure",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,B296,"Le plus souvent, à quelle heure votre enfant se couche-t-il le soir ? Minutes",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,B296B,"Le plus souvent, à quelle heure votre enfant se couche-t-il le soir ? Minutes",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,B298,"Le plus souvent, à quelle heure votre enfant se réveille-t-il le matin ? Heure",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,B298B,"Le plus souvent, à quelle heure votre enfant se réveille-t-il le matin ? Heure",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,B299,"Le plus souvent, à quelle heure votre enfant se réveille-t-il le matin ? Minutes",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,B299B,"Le plus souvent, à quelle heure votre enfant se réveille-t-il le matin ? Minutes",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,B3,date at Mental Health evaluation (at age 2),,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q2,B301,Votre enfant fait-il régulièrement la sieste ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B302,"si oui, quelle est la durée moyenne d’une sieste ? Heure",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,B303,"si oui, quelle est la durée moyenne d’une sieste ? Minutes",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,B304,"In the past 3 months, how often would you say that your child has been unable to stay put, or has been restless or hyperactive?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B306,"In the last 3 months, how often would you say that your child has been rebellious or refused to obey?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B307,"In the last 3 months, how often would you say your child has seemed unhappy or sad?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B308,"In the last 3 months, how often would you say your child has been in a fight?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B309,"In the past 3 months, how often would you say that your child was easily distracted, or had difficulty pursuing any activity?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B310,"In the past 3 months, how often would you say that your child did not seem to feel remorse after misbehaving?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B311,"In the last 3 months, how often would you say your child has constantly fidgeted?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B312,"In the last 3 months, how often would you say that your child has been unable to concentrate, or maintain attention for a long period?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B313,"In the last 3 months, how often would you say that your child has been overly fearful or anxious?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B314,"In the past 3 months, how often would you say that your child has not changed their behaviour after being punished?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B315,"In the last 3 months, how often would you say your child has been worried?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B316,"In the past 3 months, how often would you say that your child has had difficulty waiting for their turn in a game?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B317,"In the past 3 months, how often would you say your child has physically attacked others?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B319,"In the past 3 months, how often would you say that your child has hit, bitten or kicked other children?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B320,"In the last 3 months, how often would you say your child has been inattentive/distracted?",,,1.0.0,,categorical,,,,,,,,,, + ""12"" = Place not specified.",False,,,,, +PELAGIE,pelagie_q2,B129,"If yes (B128), how many times had your child had wheezing episodes since birth and until the age of 1 year?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B130,"If yes (B128), how many times had your child had wheezing episodes between 1 and 2 years old?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B134,Did the asthma attacks require treatment prescribed by a physician at least once?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B138,Did the asthma attacks require treatment prescribed by a physician at least once?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_B1_taille_4_mois,Taille de l'enfant,,,1.00,,integer,cm,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q2,B142,Was your child medically diagnosed with asthma before the age of 1?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B143,Was your child medically diagnosed with asthma after the age of 1?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B144,"Has your child ever had an itchy rash (red patches, pimples, etc.) on the skin that appears and disappears intermittently?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B145,"Itchy rash. If yes, was it before the age of 1 year?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B146,"Itchy rash. If yes, was it after the age of 1 year?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B147,"Has this itchy rash affected any of these areas: the folds of the elbows, behind the knees, in front of the ankles, the buttocks, around the neck, around the eyes or ears?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B150,Has your child been diagnosed with eczema by a medical doctor?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B151,"Eczema medical diagnosis. If yes, was it before the age of 1 year old?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B152,"Eczema medical diagnosis. If yes, was it after the age of 1 year old?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B153,"Has your child been diagnosed with intolerance to cow's milk protein, confirmed by a doctor?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B154,"Intolerance to cow's milk protein. If yes, was it before the age of 1 year?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B155,"Intolerance to cow's milk protein. If yes, was it after the age of 1 year?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B162,Has your child been diagnosed with food allergy by a medical doctor?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B164,Food allergy diagnosis. At what age?,,,1.0.0,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B21,Date de la mesure du poids et de la taille de l'enfant,,,1.0.0,,date,,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q2,B22,Poids de l'enfant,,,1.0.0,,integer,kg,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q2,B23,Taille de l'enfant,,,1.0.0,,integer,cm,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q2,B24,Périmètre cranien,,,1.0.0,,integer,cm,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q2,B295,"Le plus souvent, à quelle heure votre enfant se couche-t-il le soir ? Heure",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B295B,"Le plus souvent, à quelle heure votre enfant se couche-t-il le soir ? Heure",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B296,"Le plus souvent, à quelle heure votre enfant se couche-t-il le soir ? Minutes",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B296B,"Le plus souvent, à quelle heure votre enfant se couche-t-il le soir ? Minutes",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B298,"Le plus souvent, à quelle heure votre enfant se réveille-t-il le matin ? Heure",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B298B,"Le plus souvent, à quelle heure votre enfant se réveille-t-il le matin ? Heure",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C36_CHEZ_LEQUEL,"Si oui, chez lequel ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B299,"Le plus souvent, à quelle heure votre enfant se réveille-t-il le matin ? Minutes",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B299B,"Le plus souvent, à quelle heure votre enfant se réveille-t-il le matin ? Minutes",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B3,date at Mental Health evaluation (at age 2),,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B301,Votre enfant fait-il régulièrement la sieste ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B302,"si oui, quelle est la durée moyenne d’une sieste ? Heure",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B303,"si oui, quelle est la durée moyenne d’une sieste ? Minutes",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B304,"In the past 3 months, how often would you say that your child has been unable to stay put, or has been restless or hyperactive?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B306,"In the last 3 months, how often would you say that your child has been rebellious or refused to obey?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B307,"In the last 3 months, how often would you say your child has seemed unhappy or sad?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B308,"In the last 3 months, how often would you say your child has been in a fight?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B309,"In the past 3 months, how often would you say that your child was easily distracted, or had difficulty pursuing any activity?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B310,"In the past 3 months, how often would you say that your child did not seem to feel remorse after misbehaving?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B311,"In the last 3 months, how often would you say your child has constantly fidgeted?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B312,"In the last 3 months, how often would you say that your child has been unable to concentrate, or maintain attention for a long period?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B313,"In the last 3 months, how often would you say that your child has been overly fearful or anxious?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B314,"In the past 3 months, how often would you say that your child has not changed their behaviour after being punished?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B315,"In the last 3 months, how often would you say your child has been worried?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B316,"In the past 3 months, how often would you say that your child has had difficulty waiting for their turn in a game?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B317,"In the past 3 months, how often would you say your child has physically attacked others?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B319,"In the past 3 months, how often would you say that your child has hit, bitten or kicked other children?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B320,"In the last 3 months, how often would you say your child has been inattentive/distracted?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B574,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Quiches, pizzas, tourtes",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B322,"Actuellement, dans une semaine habituelle, combien de temps en moyenne votre enfant passe t- -il à regarder la télévision, jouer à des jeux vidéos ou d'ordinateur: un jour de semaine, en heures",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,B586,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Jus de fruits",,,1.0.0,,categorical,,,,,,,,,, +il à regarder la télévision, jouer à des jeux vidéos ou d'ordinateur: un jour de semaine, en heures",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B586,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Jus de fruits",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B323,"Actuellement, dans une semaine habituelle, combien de temps en moyenne votre enfant passe t- -il à regarder la télévision, jouer à des jeux vidéos ou d'ordinateur : un jour de semaine, en minutes",,,1.0.0,,integer,,,,,,,,,, +il à regarder la télévision, jouer à des jeux vidéos ou d'ordinateur : un jour de semaine, en minutes",,,1.0.0,,integer,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B324,"Actuellement, dans une semaine habituelle, combien de temps en moyenne votre enfant passe t- -il à regarder la télévision, jouer à des jeux vidéos ou d'ordinateur : le mercredi, en heure",,,1.0.0,,integer,,,,,,,,,, +il à regarder la télévision, jouer à des jeux vidéos ou d'ordinateur : le mercredi, en heure",,,1.0.0,,integer,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B325,"Actuellement, dans une semaine habituelle, combien de temps en moyenne votre enfant passe t- -il à regarder la télévision, jouer à des jeux vidéos ou d'ordinateur : le mercredi en minutes",,,1.0.0,,integer,,,,,,,,,, +il à regarder la télévision, jouer à des jeux vidéos ou d'ordinateur : le mercredi en minutes",,,1.0.0,,integer,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B326,"Actuellement, dans une semaine habituelle, combien de temps en moyenne votre enfant passe t- -il à regarder la télévision, jouer à des jeux vidéos ou d'ordinateur : le week end, en heure",,,1.0.0,,integer,,,,,,,,,, +il à regarder la télévision, jouer à des jeux vidéos ou d'ordinateur : le week end, en heure",,,1.0.0,,integer,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B327,"Actuellement, dans une semaine habituelle, combien de temps en moyenne votre enfant passe t- -il à regarder la télévision, jouer à des jeux vidéos ou d'ordinateur : le week end, en minutes",,,1.0.0,,integer,,,,,,,,,, +il à regarder la télévision, jouer à des jeux vidéos ou d'ordinateur : le week end, en minutes",,,1.0.0,,integer,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B328,"Actuellement, dans une semaine habituelle, combien de temps en moyenne votre enfant passet- -il en promenade ou à jouer dehors (dans un jardin, un parc, une cour de récréation, …): un jour de semaine, en heures",,,1.0.0,,integer,,,,,,,,,, +il en promenade ou à jouer dehors (dans un jardin, un parc, une cour de récréation, …): un jour de semaine, en heures",,,1.0.0,,integer,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B329,"Actuellement, dans une semaine habituelle, combien de temps en moyenne votre enfant passet- -il en promenade ou à jouer dehors (dans un jardin, un parc, une cour de récréation, …) : un jour de semaine, en minutes",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,b462,Continuez-vous à allaiter actuellement ?,,,1.0.0,,categorical,,,,,,,,,, +il en promenade ou à jouer dehors (dans un jardin, un parc, une cour de récréation, …) : un jour de semaine, en minutes",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,b462,Continuez-vous à allaiter actuellement ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B330,"Actuellement, dans une semaine habituelle, combien de temps en moyenne votre enfant passet- -il en promenade ou à jouer dehors (dans un jardin, un parc, une cour de récréation, …) : le mercredi, en heure",,,1.0.0,,integer,,,,,,,,,, +il en promenade ou à jouer dehors (dans un jardin, un parc, une cour de récréation, …) : le mercredi, en heure",,,1.0.0,,integer,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B331,"Actuellement, dans une semaine habituelle, combien de temps en moyenne votre enfant passet- -il en promenade ou à jouer dehors (dans un jardin, un parc, une cour de récréation, …) : le mercredi en minutes",,,1.0.0,,integer,,,,,,,,,, +il en promenade ou à jouer dehors (dans un jardin, un parc, une cour de récréation, …) : le mercredi en minutes",,,1.0.0,,integer,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B332,"Actuellement, dans une semaine habituelle, combien de temps en moyenne votre enfant passet- -il en promenade ou à jouer dehors (dans un jardin, un parc, une cour de récréation, …) : le week end, en heure",,,1.0.0,,integer,,,,,,,,,, +il en promenade ou à jouer dehors (dans un jardin, un parc, une cour de récréation, …) : le week end, en heure",,,1.0.0,,integer,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B333,"Actuellement, dans une semaine habituelle, combien de temps en moyenne votre enfant passet- -il en promenade ou à jouer dehors (dans un jardin, un parc, une cour de récréation, …) : le week end, en minutes",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,B413,"Depuis la naissance de votre enfant, avez-vous un animal au domicile ?",,,1.0.0,,categorical,,,,,,,,,, +il en promenade ou à jouer dehors (dans un jardin, un parc, une cour de récréation, …) : le week end, en minutes",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B413,"Depuis la naissance de votre enfant, avez-vous un animal au domicile ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, PELAGIE,pelagie_q2,B441,"Depuis sa naissance, avez-vous fait un (ou des) changement(s) suivant(s) pour sa santé, -parce qu’il a ou a eu des problèmes allergiques ou respiratoires ? - séparation de votre animal domestique",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B442,"Si oui, quel âge avait votre enfant",,,1.0.0,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,B458,"A la maison, votre enfant prend-il le plus souvent ses principaux repas :",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B459,"Si autre, précisez",,,1.0.0,,string,,,,,,,,,, -PELAGIE,pelagie_q2,C618,"Actuellement, avez-vous une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B460,La télévision est-elle allumée dans la pièce pendant que l'enfant prend ses repas à la maison ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B461,Avez-vous allaité votre enfant ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B462,Continuez-vous à allaiter actuellement ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B463,"Si non, quel âge avait-il quand vous avez arrêté définitivement",,,1.0.0,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,B488,Age introduction des pommes de terre,,,1.0.0,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,B490,Age introduction des légumes verts,,,1.0.0,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,B492,Age introduction des fruits,,,1.0.0,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,B502,Age introduction des œufs,,,1.0.0,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,B510,Age introduction des laitages,,,1.0.0,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,B559,"Actuellement, quelle quantité de lait votre enfant boit-il par jour en moyenne ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B560,"Actuellement, votre enfant prend-il tous les jours au presque un petit-déjeuner (même limité à un biberon ou une tétée) ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B568,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Laitages (yaourts, petits-suisses,…)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B569,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Desserts lactés (crème, glace,…)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B570,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Fromage",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B571,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Pâtes, riz, semoule, blé",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B572,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Pomme de terre (à l'eau ou en purée)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B573,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : frites, ommes de terre sautées",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B574,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Quiches, pizzas, tourtes",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B575,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : légumes secs (lentilles, haricots blancs)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B576,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Légumes cuits (y compris soupes) en dehors des pommes de terre",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B577,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Crudités, salade",,,1.0.0,,categorical,,,,,,,,,, -OOM_CDM,EUROCAT,gestlength,,,,2.2,,,,,,true,"LENGTH OF GESTATION IN COMPLETED WEEKS -Give best estimate based on last menstrual period (LMP) and/or ultrasound determination. If the case is the result of fetal reduction give GA at fetocide.",,Table reference: EUROCAT/EUROmediCAT. 99 = Not known,,, -PELAGIE,pelagie_q2,B578,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Volaille ou jambon",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B579,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Viande type bœuf, mouton, porc",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B580,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : charcuterie (sauf jambon)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B581,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Poissons gras (maquereau, sardines, aumon, thon, hareng)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B582,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : poisson blanc (cabillaud, colin, merlan)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B583,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : œufs",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B584,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Fruits frais",,,1.0.0,,categorical,,,,,,,,,, -ATHLETE_CDM,outcome_ath,att_om_raw_0,,,,,,decimal,,,,,"Repeated measures of attentional function, raw score of number of omissions: att_om_raw_0: assessed within one year of childbirth (>0 year and <1 year) att_om_raw_1: assessed when the child was aged between ≥ 1 year and < 2 years … att_om_raw_17: assessed when the child was aged between ≥ 17 years and < 18 years",,,Cognitive functioning,, -PELAGIE,pelagie_q2,B585,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Compotes",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B587,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Sodas ordinaires et sirop",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B588,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Soda light",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B589,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Céréales pour le petit déjeuner",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B590,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : pain",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B591,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Viennoiserie, biscuits, gâteaux",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,c618,"Actuellement, avez-vous une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B592,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : bonbon, chocolat",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,B593,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : chips, biscuits apéritifs",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,C593,"Actuellement, fumez-vous du tabac ? - Mere",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,C611,Vivez-vous avec le père de l’enfant «Pélagie»?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,C612,"Quelle est votre situation familiale, d’un point de vue légal ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,C614,Le père de l’enfant a-t-il un emploi ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,C675,Combien de personnes vivent actuellement avec l’enfant au domicile familial ? Adultes d'au moins 18 ans,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,C676,Combien de personnes vivent actuellement avec l’enfant au domicile familial ? Enfants de moins de 18 ans,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q2,C7,"Au cours de votre grossesse « Pélagie », combien de kilos avez-vous pris ?",,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q2,a44,"Actuellement, fumez-vous du tabac ? - Père",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,a5,Habitez-vous avec votre enfant ? (père),,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,a6,"Si non, est-ce parce que…",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,b21,Date de la mesure du poids et de la taille de l'enfant,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q2,b22,Poids de l'enfant,,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q2,b23,Taille de l'enfant,,,1.00,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q2,b461,Avez-vous allaité votre enfant ?,,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,b463,"Si non, quel âge avait-il quand vous avez arrêté définitivement",,,1.00,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,b488,Age introduction des pommes de terre,,,1.00,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,b490,Age introduction des légumes verts,,,1.00,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,b492,Age introduction des fruits,,,1.00,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,b502,Age introduction des œufs,,,1.00,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,b510,Age introduction des laitages,,,1.00,,integer,month,,,,,,,,, -PELAGIE,pelagie_q2,c593,"Actuellement, fumez-vous du tabac ? - Mere",,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,c611,Vivez-vous avec le père de l’enfant «Pélagie»?,,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,c612,"Quelle est votre situation familiale, d’un point de vue légal ?",,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q2,c614,Le père de l’enfant a-t-il un emploi ?,,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_B1_poids_4_mois,Poids de l'enfant,,,1.00,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q2,c7,"Au cours de votre grossesse « Pélagie », combien de kilos avez-vous pris ?",,,1.00,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q6,AGE_ENFANT_QUEST,Child age at the 6-year-old follow-up,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A1,"Actuellement, vivez-vous avec le père de l'enfant PELAGIE ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A2_MOIS,"Si le père de l'enfant ne vit pas à la maison, à quelle fréquence votre enfant a-t-il des contacts avec son père ? - nombre de fois par mois",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A2_SEMAINE,"Si le père de l'enfant ne vit pas à la maison, à quelle fréquence votre enfant a-t-il des contacts avec son père ? - nombre de fois par semaine",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_AGE_1,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 1,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_AGE_2,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 2,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_AGE_3,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 3,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_AGE_4,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 4,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_AGE_5,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 5,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_AGE_6,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 6,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_AGE_7,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 7,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_23,S’entend mieux avec les adultes qu’avec d’autres enfants,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_Age_1,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 1,,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_Age_2,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 2,,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_Age_3,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 3,,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_Age_4,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 4,,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_Age_5,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 5,,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_Age_6,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 6,,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A3_Age_7,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 7,,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A4,Quelle est votre situation famililae d'un point de vue légal ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pepsy,OMISSION,Omission,,,1.0.0,,integer,,,,,"Binary items, to be summed up",,,,, -PELAGIE,pelagie_q6,QE6_A4AUTRE,"Quelle est votre situation familiale, d’un point de vue légal ? - Autre, précisez:",,,1.0.0,,string,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A4_DATE_AAMM,"Si séparée ou divorcée, depuis combien de temps ?",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A6,Le père de l’enfant a-t-il un emploi ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_A7,"Actuellement, avez-vous une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_10,"A la bougeotte, se tortille constamment",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_11,A au moins un(e) ami(e),,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_12,Se bagarre souvent avec les autres enfants ou s’amuse à leur faire du mal,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_13,"Est souvent malheureux(se), abattu(e) ou pleure souvent",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_14,Est généralement aimé(e) des autres enfants,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_15,"Est facilement distrait(e), a du mal à se concentrer",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_16,"Est mal à l’aise ou se cramponne aux adultes dans les situations nouvelles, perd facilement ses moyens",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_18,Ment ou triche,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_19,Se fait souvent embêter par les autres enfants,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_2,"Est agité(e), turbulent(e), hyperactif(ve), ne tient pas en place",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_21,Réfléchit avant d’agir,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_22,"Vole à la maison, à l’école ou ailleurs",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_24,"A souvent peur, est facilement effrayé(e)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_25,"Est capable de se concentrer sur des tâches ou jeux et de les terminer, bonne capacité d’attention",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_3,"Se plaint souvent de maux de tête ou d’estomac, ou de nausées",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_5,"Fait souvent des colères, s’énerve facilement",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_6,"Est plutôt solitaire, a tendance à jouer seul(e)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_7,Est en général obéissant(e) envers les adultes,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B15_8,"S’inquiète souvent, paraît souvent soucieux(se)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_ASSISTANTE_A_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Assistante maternelle jusqu'à l'âge de…",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_ASSISTANTE_DE_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Assistante maternelle à partir de l'âge de…",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_CRECHE_A_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Creche jusqu'à l'âge de…",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_CRECHE_DE_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Creche à partir de l'âge de…",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_Creche_a_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Creche jusqu'à l'âge de…",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_Creche_de_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Creche à partir de l'âge de…",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D4HHMM,"Si oui, combien de temps l'avez-vous allaité ?",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_EMPLOYEE_A_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Employé à mon domicile jusqu'à l'âge de…",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_EMPLOYEE_DE_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Employé à mon domicile à partir de l'âge de…",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_FAMILLE_A_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Membre de la famille jusqu'à l'âge de…",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_FAMILLE_DE_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Membre de la famille à partir de l'âge de…",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_VOUS_MEME_A_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Vous même jusqu'à l'âge de…",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_F3_1,"Dans ce domicile (numéro 1), aviez-vous un animal ?",,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_VOUS_MEME_DE_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Vous même à partir de l'âge de…",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C33,"Since birth, as your child been diagnosed with food allergy, confirmed by a doctor?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_assistante_a_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Assistante maternelle jusqu'à l'âge de…",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_assistante_de_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Assistante maternelle à partir de l'âge de…",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_employee_a_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Employé à mon domicile jusqu'à l'âge de…",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_employee_de_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Employé à mon domicile à partir de l'âge de…",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_famille_a_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Membre de la famille jusqu'à l'âge de…",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_famille_de_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Membre de la famille à partir de l'âge de…",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_vous_meme_a_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Vous même jusqu'à l'âge de…",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_B5_vous_meme_de_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Vous même à partir de l'âge de…",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D3,La télévision est-elle allumée dans la pièce pendant que l'enfant prend ses repas à la maison ?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D4,Avez-vous allaité votre enfant ?,,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_1,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Produits laitiers (beurre, fromage, yaourts, fromages blancs, …)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_10,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Légumes et crudités",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_11,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Céréales de type petit déjeuner",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_12,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Pain complet",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_F3_2,"Dans ce domicile (numéro 2), aviez-vous un animal ?",,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_13,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Autres pains et céréales",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_14,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Viennoiseries, biscuits, gâteaux",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_15,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Bonbon, chocolat",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_16,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Chips, biscuits apéritifs",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_17,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Sodas ordinaires ou sirop",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_18,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Sodas ilght",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_2,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Œufs",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_B1_date_4_mois,Date de la mesure du poids et de la taille de l'enfant,,,1.00,,date,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_3,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Pâtes, riz, semoule",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_4,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Volaille",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_5,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : viande rouge (bœuf, agneau, mouton, …)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_6,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : autre viande (charcuterie, porc, veau, lapin, …)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_7,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Poissons",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C35,"Since your child was born, has a doctor ever said that your child had a hives crise(s)?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_8,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Coquillages et crustacés (moules, crevettes, langoustines, crabes, …)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_D6_9,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Fruits",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,date at Mental Health evaluation (at age 6),,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_F3_3,"Dans ce domicile (numéro 3), aviez-vous un animal ?",,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_F3_4,"Dans ce domicile (numéro 4), aviez-vous un animal ?",,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_F3_5,"Dans ce domicile (numéro 5), aviez-vous un animal ?",,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_G1,"Actuellement, fumez-vous du tabac ? - Mere",,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_G2,Est-ce que l'une des personnes vivant à la maison avec vous et l'enfant fume du tabac ?,,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_NB_DOMICILE,Combien de domiciles renseignés ?,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QE6_Nb_Domicile,Combien de domiciles renseignés ?,,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_B1_DATE_4_MOIS,Date de la mesure du poids et de la taille de l'enfant,,,1.0.0,,date,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_B1_PERIMETRE_4_MOIS,Périmètre cranien de l'enfant,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q6,QS6_B1_POIDS_4_MOIS,Poids de l'enfant,,,1.0.0,,integer,kg,,,,,,,,, -PELAGIE,pelagie_q6,QS6_B1_TAILLE_4_MOIS,Taille de l'enfant,,,1.0.0,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q6,QS6_B1_taille_4_mois,Taille de l'enfant,,,1.00,,integer,cm,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C15_SI_OUI,Has your child's asthma been confirmed by a doctor?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C16,"Has your child ever had sneezing, a runny nose or a blocked nose without having a respiratory infection (neither a cold, nor rhinopharyngitis, nor flu...)?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C17,"During the last 12 months, has your child ever had sneezing, a runny nose or a blocked nose without having a respiratory infection (neither a cold, nor rhinopharyngitis, nor flu...)?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C1_NB_ANGINE_V2,How many times before the age of 1 has your child had sore throat or pharyngitis?,,,1.0.0,,integer,,,,,,,,,, -OOM_CDM,EUROCAT,illbef1,,,,2.2,,,,,,false,"ILLNESS BEFORE PREGNANCY 1 +parce qu’il a ou a eu des problèmes allergiques ou respiratoires ? - séparation de votre animal domestique",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B442,"Si oui, quel âge avait votre enfant",,,1.0.0,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B458,"A la maison, votre enfant prend-il le plus souvent ses principaux repas :",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B459,"Si autre, précisez",,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,C618,"Actuellement, avez-vous une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B460,La télévision est-elle allumée dans la pièce pendant que l'enfant prend ses repas à la maison ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B461,Avez-vous allaité votre enfant ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B462,Continuez-vous à allaiter actuellement ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B463,"Si non, quel âge avait-il quand vous avez arrêté définitivement",,,1.0.0,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B488,Age introduction des pommes de terre,,,1.0.0,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B490,Age introduction des légumes verts,,,1.0.0,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B492,Age introduction des fruits,,,1.0.0,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B502,Age introduction des œufs,,,1.0.0,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B510,Age introduction des laitages,,,1.0.0,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B559,"Actuellement, quelle quantité de lait votre enfant boit-il par jour en moyenne ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B560,"Actuellement, votre enfant prend-il tous les jours au presque un petit-déjeuner (même limité à un biberon ou une tétée) ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B568,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Laitages (yaourts, petits-suisses,…)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B569,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Desserts lactés (crème, glace,…)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B570,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Fromage",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B571,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Pâtes, riz, semoule, blé",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B572,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Pomme de terre (à l'eau ou en purée)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B573,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : frites, ommes de terre sautées",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,c618,"Actuellement, avez-vous une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B575,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : légumes secs (lentilles, haricots blancs)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B576,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Légumes cuits (y compris soupes) en dehors des pommes de terre",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B577,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Crudités, salade",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +OOM,EUROCAT,gestlength,,,,2.2,,,,,,true,"LENGTH OF GESTATION IN COMPLETED WEEKS +Give best estimate based on last menstrual period (LMP) and/or ultrasound determination. If the case is the result of fetal reduction give GA at fetocide.",,Table reference: EUROCAT/EUROmediCAT. 99 = Not known,,,,False,,,,, +PELAGIE,pelagie_q2,B578,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Volaille ou jambon",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B579,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Viande type bœuf, mouton, porc",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B580,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : charcuterie (sauf jambon)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B581,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Poissons gras (maquereau, sardines, aumon, thon, hareng)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B582,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : poisson blanc (cabillaud, colin, merlan)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B583,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : œufs",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B584,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Fruits frais",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B585,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Compotes",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B587,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Sodas ordinaires et sirop",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B588,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Soda light",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B589,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Céréales pour le petit déjeuner",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B590,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : pain",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B591,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : Viennoiserie, biscuits, gâteaux",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B592,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : bonbon, chocolat",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B593,"Actuellement, avec quelle fréquence votre enfant consomme-t-il les aliments suivants au cours d'une semaine habituelle : chips, biscuits apéritifs",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,C593,"Actuellement, fumez-vous du tabac ? - Mere",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,C611,Vivez-vous avec le père de l’enfant «Pélagie»?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,C612,"Quelle est votre situation familiale, d’un point de vue légal ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,C614,Le père de l’enfant a-t-il un emploi ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,C675,Combien de personnes vivent actuellement avec l’enfant au domicile familial ? Adultes d'au moins 18 ans,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,C676,Combien de personnes vivent actuellement avec l’enfant au domicile familial ? Enfants de moins de 18 ans,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,C7,"Au cours de votre grossesse « Pélagie », combien de kilos avez-vous pris ?",,,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,a44,"Actuellement, fumez-vous du tabac ? - Père",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,a5,Habitez-vous avec votre enfant ? (père),,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,a6,"Si non, est-ce parce que…",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,b21,Date de la mesure du poids et de la taille de l'enfant,,,1.0.0,,date,,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q2,b22,Poids de l'enfant,,,1.0.0,,integer,kg,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q2,b23,Taille de l'enfant,,,1.00,,integer,cm,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q2,b461,Avez-vous allaité votre enfant ?,,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,b463,"Si non, quel âge avait-il quand vous avez arrêté définitivement",,,1.00,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,b488,Age introduction des pommes de terre,,,1.00,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,b490,Age introduction des légumes verts,,,1.00,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,b492,Age introduction des fruits,,,1.00,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,b502,Age introduction des œufs,,,1.00,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,b510,Age introduction des laitages,,,1.00,,integer,month,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,c593,"Actuellement, fumez-vous du tabac ? - Mere",,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,c611,Vivez-vous avec le père de l’enfant «Pélagie»?,,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,c612,"Quelle est votre situation familiale, d’un point de vue légal ?",,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,c614,Le père de l’enfant a-t-il un emploi ?,,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_B1_poids_4_mois,Poids de l'enfant,,,1.00,,integer,kg,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q2,c7,"Au cours de votre grossesse « Pélagie », combien de kilos avez-vous pris ?",,,1.00,,integer,kg,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,AGE_ENFANT_QUEST,Child age at the 6-year-old follow-up,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A1,"Actuellement, vivez-vous avec le père de l'enfant PELAGIE ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A2_MOIS,"Si le père de l'enfant ne vit pas à la maison, à quelle fréquence votre enfant a-t-il des contacts avec son père ? - nombre de fois par mois",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A2_SEMAINE,"Si le père de l'enfant ne vit pas à la maison, à quelle fréquence votre enfant a-t-il des contacts avec son père ? - nombre de fois par semaine",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_AGE_1,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 1,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_AGE_2,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 2,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_AGE_3,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 3,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_AGE_4,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 4,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_AGE_5,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 5,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_AGE_6,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 6,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_AGE_7,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 7,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_23,S’entend mieux avec les adultes qu’avec d’autres enfants,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_Age_1,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 1,,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_Age_2,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 2,,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_Age_3,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 3,,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_Age_4,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 4,,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_Age_5,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 5,,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_Age_6,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 6,,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A3_Age_7,Quelles sont les personnes (enfants et adultes) vivant avec vous et l'enfant à la maison ? Age persone 7,,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A4,Quelle est votre situation famililae d'un point de vue légal ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pepsy,OMISSION,Omission,,,1.0.0,,integer,,,,,"Binary items, to be summed up",,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A4AUTRE,"Quelle est votre situation familiale, d’un point de vue légal ? - Autre, précisez:",,,1.0.0,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A4_DATE_AAMM,"Si séparée ou divorcée, depuis combien de temps ?",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A6,Le père de l’enfant a-t-il un emploi ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_A7,"Actuellement, avez-vous une activité professionnelle ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_10,"A la bougeotte, se tortille constamment",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_11,A au moins un(e) ami(e),,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_12,Se bagarre souvent avec les autres enfants ou s’amuse à leur faire du mal,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_13,"Est souvent malheureux(se), abattu(e) ou pleure souvent",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_14,Est généralement aimé(e) des autres enfants,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_15,"Est facilement distrait(e), a du mal à se concentrer",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_16,"Est mal à l’aise ou se cramponne aux adultes dans les situations nouvelles, perd facilement ses moyens",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_18,Ment ou triche,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_19,Se fait souvent embêter par les autres enfants,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_2,"Est agité(e), turbulent(e), hyperactif(ve), ne tient pas en place",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_21,Réfléchit avant d’agir,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_22,"Vole à la maison, à l’école ou ailleurs",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_24,"A souvent peur, est facilement effrayé(e)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_25,"Est capable de se concentrer sur des tâches ou jeux et de les terminer, bonne capacité d’attention",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_3,"Se plaint souvent de maux de tête ou d’estomac, ou de nausées",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_5,"Fait souvent des colères, s’énerve facilement",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_6,"Est plutôt solitaire, a tendance à jouer seul(e)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_7,Est en général obéissant(e) envers les adultes,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B15_8,"S’inquiète souvent, paraît souvent soucieux(se)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_ASSISTANTE_A_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Assistante maternelle jusqu'à l'âge de…",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_ASSISTANTE_DE_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Assistante maternelle à partir de l'âge de…",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +OOM,EUROCAT,matedu,,,,2.2,,,,,,false,"MATERNAL EDUCATION +Refer to International Standard Classification of Education 1997 for more information and Kunst et al (2001). + +Assign according to the highest level of education completed (or for full-time students, level in progress). + +Elementary and lower secondary refers to the period of compulsory education, usually to age 15/16. Upper secondary refers to the last two school or college years (usually to age 18) preparing students for tertiary education or the workforce. Tertiary refers to Bachelor’s degree (English), Diploma (German), License (French) or equivalent, and to higher degrees (eg. doctorates), or to other forms of higher education.",,"1 = Elementary and lower secondary +2 = Upper secondary +3 = Tertiary +9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_CRECHE_A_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Creche jusqu'à l'âge de…",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_CRECHE_DE_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Creche à partir de l'âge de…",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_Creche_a_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Creche jusqu'à l'âge de…",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_Creche_de_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Creche à partir de l'âge de…",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D4HHMM,"Si oui, combien de temps l'avez-vous allaité ?",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_EMPLOYEE_A_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Employé à mon domicile jusqu'à l'âge de…",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_EMPLOYEE_DE_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Employé à mon domicile à partir de l'âge de…",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_FAMILLE_A_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Membre de la famille jusqu'à l'âge de…",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_FAMILLE_DE_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Membre de la famille à partir de l'âge de…",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_VOUS_MEME_A_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Vous même jusqu'à l'âge de…",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_F3_1,"Dans ce domicile (numéro 1), aviez-vous un animal ?",,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_VOUS_MEME_DE_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Vous même à partir de l'âge de…",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C33,"Since birth, as your child been diagnosed with food allergy, confirmed by a doctor?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_assistante_a_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Assistante maternelle jusqu'à l'âge de…",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_assistante_de_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Assistante maternelle à partir de l'âge de…",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_employee_a_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Employé à mon domicile jusqu'à l'âge de…",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_employee_de_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Employé à mon domicile à partir de l'âge de…",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_B1_TAILLE_4_MOIS,Taille de l'enfant,,,1.0.0,,integer,cm,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q6,QE6_B5_famille_a_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Membre de la famille jusqu'à l'âge de…",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_famille_de_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Membre de la famille à partir de l'âge de…",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_vous_meme_a_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Vous même jusqu'à l'âge de…",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_B5_vous_meme_de_AMM,"Avant l'entrée à l'école de votre enfant, quels étaient les modes de garde de votre enfant : Vous même à partir de l'âge de…",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D3,La télévision est-elle allumée dans la pièce pendant que l'enfant prend ses repas à la maison ?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D4,Avez-vous allaité votre enfant ?,,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_1,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Produits laitiers (beurre, fromage, yaourts, fromages blancs, …)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_10,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Légumes et crudités",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_11,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Céréales de type petit déjeuner",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_12,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Pain complet",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_F3_2,"Dans ce domicile (numéro 2), aviez-vous un animal ?",,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_13,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Autres pains et céréales",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_14,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Viennoiseries, biscuits, gâteaux",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_15,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Bonbon, chocolat",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_16,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Chips, biscuits apéritifs",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_17,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Sodas ordinaires ou sirop",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_18,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Sodas ilght",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_2,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Œufs",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_B1_date_4_mois,Date de la mesure du poids et de la taille de l'enfant,,,1.00,,date,,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q6,QE6_D6_3,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Pâtes, riz, semoule",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_4,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Volaille",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_5,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : viande rouge (bœuf, agneau, mouton, …)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_6,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : autre viande (charcuterie, porc, veau, lapin, …)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_7,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Poissons",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C35,"Since your child was born, has a doctor ever said that your child had a hives crise(s)?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_8,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Coquillages et crustacés (moules, crevettes, langoustines, crabes, …)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_D6_9,"Au cours d'une semaine ordinaire, à quelle fréquence votre enfant mange-t-il les aliments ci-dessous (à la maison ou en dehors) : Fruits",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_DATE_REPONSE_JJMMAAAA,date at Mental Health evaluation (at age 6),,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_F3_3,"Dans ce domicile (numéro 3), aviez-vous un animal ?",,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_F3_4,"Dans ce domicile (numéro 4), aviez-vous un animal ?",,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_F3_5,"Dans ce domicile (numéro 5), aviez-vous un animal ?",,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_G1,"Actuellement, fumez-vous du tabac ? - Mere",,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_G2,Est-ce que l'une des personnes vivant à la maison avec vous et l'enfant fume du tabac ?,,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_NB_DOMICILE,Combien de domiciles renseignés ?,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QE6_Nb_Domicile,Combien de domiciles renseignés ?,,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_B1_DATE_4_MOIS,Date de la mesure du poids et de la taille de l'enfant,,,1.0.0,,date,,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q6,QS6_B1_PERIMETRE_4_MOIS,Périmètre cranien de l'enfant,,,1.0.0,,integer,cm,,,,,,,,,,True,,,,, +PELAGIE,pelagie_q6,QS6_B1_POIDS_4_MOIS,Poids de l'enfant,,,1.0.0,,integer,kg,,,,,,,,,,True,,,,, +OOM,EUROCAT,migrant,,,,2.2,,,,,,false,"MIGRANT STATUS +This variable is included to allow assessment of the extent to which services such as prenatal screening are reaching migrants. It does not ask for ethnicity. + +If code 4, give text details in the general comments section (variable 79).",,"1 = Mother migrated from outside EU during pregnancy +2 = Mother migrated from outside EU during adult life (from age 18) +3 = Mother not a migrant as defined in 1 or 2 +4 = Other (specify in text) +9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C15_SI_OUI,Has your child's asthma been confirmed by a doctor?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C16,"Has your child ever had sneezing, a runny nose or a blocked nose without having a respiratory infection (neither a cold, nor rhinopharyngitis, nor flu...)?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C17,"During the last 12 months, has your child ever had sneezing, a runny nose or a blocked nose without having a respiratory infection (neither a cold, nor rhinopharyngitis, nor flu...)?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C1_NB_ANGINE_V2,How many times before the age of 1 has your child had sore throat or pharyngitis?,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +OOM,EUROCAT,illbef1,,,,2.2,,,,,,false,"ILLNESS BEFORE PREGNANCY 1 Record any illness whether chronic or acute with onset before pregnancy and that may affect fetal development (eg. childhood cancer, metabolic and endocrine disease, severe congenital anomaly). Code according to ICD10. The codes mentioned below are only examples. Historic maternal diseases may be coded using the Z-chapter in ICD10, example Z853 “Personal history of breast cancer”. Any additional details may be entered in the general comments section (variable 95). Do not insert the decimal point in the code (e.g. Code E05.0 as E050) @@ -2854,120 +3975,119 @@ Chronic alcoholism F102 Drug addict F112 - F122 - F132 - F142",,"Table reference: EUROCAT/EUROmediCAT. ICD 10 0 = No illness 1 = Yes,but no information available -9 = Not known",,, -PELAGIE,pelagie_q6,QS6_C1_NB_BRONCHITE_V2,"How many times, before the age of 1, has your child had bronchitis, bronchiolitis, asthma-like bronchitis, wheezing bronchitis?",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C1_NB_LARYNGITE_V2,"How many times before the age of 1 has your child had laryngitis, laryngotracheitis, laryngotracheobronchitis?",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C1_NB_OTITE_V2,How many times before the age of 1 has your child had an otitis?,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C1_NB_PNEUMOPATHIE_V2,"How many times, before the age of 1, has your child had a lung disease, pneumonia, bronchopneumonia?",,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C23,"Since birth, has your child ever had hay fever?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C24,"Since birth, has your child ever had any other kind of allergic rhinitis (dust, pets, etc)?",,,1.0.0,,categorical,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_BUPA_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_ohMiNP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C25,"Has your child ever had an itchy rash (red patches, pimples, etc.) on the skin that appears and disappears intermittently over a period of at least 6 months?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C26,Has your children had this itchy rash anytime during the last 12 months?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C27,"Has this itchy rash affected any of these areas: the folds of the elbows, behind the knees, in front of the ankles, the buttocks, around the neck, around the eyes or ears?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C3,"Since birth, has your child ever had wheezing at any time in their life?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C31,"Since birth, has your child ever had eczema or atopic dermatitis?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C31_AGE_AMM,If yes (QS6_C31). At what age did the eczema first appear?,,,1.0.0,,integer,date,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C31_CONFIRME,If yes (QS6_C31). Has the diagnosis of eczema been confirmed by a doctor?,,,1.0.0,,categorical,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_oxoMiNP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C36,Y a-t-il eu pour vous ou le père de votre enfant un diagnostic d'asthme ?,,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C36_CHEZ_LEQUEL,"Si oui, chez lequel ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C36_Chez_Lequel,"Si oui, chez lequel ?",,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C37,Has the mother or father of the children ever had a disgnosis of allergy?,,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C37_CHEZ_LEQUEL,"Parents diagnostic of allergy. If yes, specify who",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C37_LAQUELLE,"Parents diagnostic of allergy. If yes, specify which allergy.",,,1.0.0,,text,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C4,"During the past 12 months, have they had wheezing at any time?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_C5,"During the past 12 months, how many times has your child had wheezing crises ?",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_F3,"Since birth, has your child ever taken an inhaled treatment (ventoline, bricanyl, bécotide, pulmicort, sérétide, serevent, symbicort, flixotide, nasacort, rhinocort, flixonase,…)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_F3_FREQUENCE_1,"Since birth, has your child ever taken an inhaled treatment (ventoline, bricanyl, bécotide, pulmicort, sérétide, serevent, symbicort, flixotide, nasacort, rhinocort, flixonase,…); If yes, how often during the last 12 months (inhaled treatment 1)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_F3_FREQUENCE_2,"Since birth, has your child ever taken an inhaled treatment (ventoline, bricanyl, bécotide, pulmicort, sérétide, serevent, symbicort, flixotide, nasacort, rhinocort, flixonase,…); If yes, how often during the last 12 months (inhaled treatment 2)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_F3_FREQUENCE_3,"Since birth, has your child ever taken an inhaled treatment (ventoline, bricanyl, bécotide, pulmicort, sérétide, serevent, symbicort, flixotide, nasacort, rhinocort, flixonase,…); If yes, how often during the last 12 months (inhaled treatment 3)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,QS6_F3_FREQUENCE_4,"Since birth, has your child ever taken an inhaled treatment (ventoline, bricanyl, bécotide, pulmicort, sérétide, serevent, symbicort, flixotide, nasacort, rhinocort, flixonase,…); If yes, how often during the last 12 months (inhaled treatment 4)",,,1.0.0,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,qe6_a1,"Actuellement, vivez-vous avec le père de l'enfant PELAGIE ?",,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,qe6_a2_mois,"Si le père de l'enfant ne vit pas à la maison, à quelle fréquence votre enfant a-t-il des contacts avec son père ? - nombre de fois par mois",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,qe6_a2_semaine,"Si le père de l'enfant ne vit pas à la maison, à quelle fréquence votre enfant a-t-il des contacts avec son père ? - nombre de fois par semaine",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,qe6_a4,Quelle est votre situation famililae d'un point de vue légal ?,,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,qe6_a4_date_aamm,"Si séparée ou divorcée, depuis combien de temps ?",,,1.00,,integer,,,,,,,,,, -PELAGIE,pelagie_q6,qe6_a4autre,"Quelle est votre situation familiale, d’un point de vue légal ? - Autre, précisez:",,,1.00,,string,,,,,,,,,, -PELAGIE,pelagie_q6,qe6_a6,Le père de l’enfant a-t-il un emploi ?,,,1.00,,categorical,,,,,,,,,, -PELAGIE,pelagie_q6,qe6_a7,"Actuellement, avez-vous une activité professionnelle ?",,,1.00,,categorical,,,,,,,,,, -PELAGIE,pepsy,DATE_RDV,date at WISC/WAIS assessment (at age 6),,,1.0.0,,date,,,,,,,,,, -PELAGIE,pepsy,WISCCO,WISC-IV: Comprehension,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pepsy,WISCMC,WISC-IV: Digit Span,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pepsy,WISCS,WISC-IV: Similarities,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pepsy,WISCSLC,WISC-IV: Letter–Number Sequencing,,,1.0.0,,integer,,,,,,,,,, -PELAGIE,pepsy,WISCV,WISC-IV: Vocabulary,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_BPA_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFUnDA_LOD,mo_PFUnDA_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_BPA_total_string_t2,"BPA_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_BPA_total_string_t3,"BPA_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_BPF_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_BPF_total_string_t2,"BPF_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_BPF_total_string_t3,"BPF_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_BPS_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_BPS_total_string_t2,"BPS_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_BPS_total_string_t3,"BPS_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -ATHLETE_CDM,outcome_ath,att_om_std_0,,,,,,decimal,,,,,"Attentional function, standardized score of number of omissions (i.e., att_om_raw_0, att_pro_raw_1, etc.)",,,Cognitive functioning,, -Sepages,PE_preg_mr_2021-12-02_379,mo_BUPA_total_string_t2,"BUPA_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_BUPA_total_string_t3,"BUPA_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_ETPA_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_ETPA_total_string_t2,"ETPA_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_ETPA_total_string_t3,"ETPA_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MBzP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MBzP_string_t2,"MBzP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MBzP_string_t3,"MBzP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MECPP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MECPP_string_t2,"MECPP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MECPP_string_t3,"MECPP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEHHP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEHHP_string_t2,"MEHHP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEHHP_string_t3,"MEHHP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEHP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEHP_string_t2,"MEHP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEHP_string_t3,"MEHP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEOHP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEOHP_string_t2,"MEOHP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEOHP_string_t3,"MEOHP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEPA_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEPA_total_string_t2,"MEPA_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEPA_total_string_t3,"MEPA_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEP_string_t2,"MEP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MEP_string_t3,"MEP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MMCHP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MMCHP_string_t2,"MMCHP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MMCHP_string_t3,"MMCHP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MiBP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MiBP_string_t2,"MiBP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MiBP_string_t3,"MiBP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MnBP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MnBP_string_t2,"MnBP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_MnBP_string_t3,"MnBP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_OXBE_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_OXBE_total_string_t2,"OXBE_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_OXBE_total_string_t3,"OXBE_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_PRPA_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_PRPA_total_string_t2,"PRPA_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_PRPA_total_string_t3,"PRPA_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_TRCS_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_TRCS_total_string_t2,"TRCS_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_TRCS_total_string_t3,"TRCS_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_cxMiNP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_cxMiNP_string_t2,"cxMiNP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_cxMiNP_string_t3,"cxMiNP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_ohMINCH_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_ohMINCH_string_t2,"ohMINCH_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_ohMINCH_string_t3,"ohMINCH_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_ohMPHP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_ohMPHP_string_t2,"ohMPHP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_ohMPHP_string_t3,"ohMPHP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_ohMiNP_string_t2,"ohMiNP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_ohMiNP_string_t3,"ohMiNP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_oxoMINCH_LOD,LOD,,,1.0.0,,integer,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_oxoMINCH_string_t2,"oxoMINCH_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_oxoMINCH_string_t3,"oxoMINCH_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -OOM_CDM,EUROCAT,occupmo,,,,2.2,,,,,,false,"MOTHER’S OCCUPATION AT TIME OF CONCEPTION +9 = Not known",,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C1_NB_BRONCHITE_V2,"How many times, before the age of 1, has your child had bronchitis, bronchiolitis, asthma-like bronchitis, wheezing bronchitis?",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C1_NB_LARYNGITE_V2,"How many times before the age of 1 has your child had laryngitis, laryngotracheitis, laryngotracheobronchitis?",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C1_NB_OTITE_V2,How many times before the age of 1 has your child had an otitis?,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C1_NB_PNEUMOPATHIE_V2,"How many times, before the age of 1, has your child had a lung disease, pneumonia, bronchopneumonia?",,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C23,"Since birth, has your child ever had hay fever?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C24,"Since birth, has your child ever had any other kind of allergic rhinitis (dust, pets, etc)?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_BUPA_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_ohMiNP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C25,"Has your child ever had an itchy rash (red patches, pimples, etc.) on the skin that appears and disappears intermittently over a period of at least 6 months?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C26,Has your children had this itchy rash anytime during the last 12 months?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C27,"Has this itchy rash affected any of these areas: the folds of the elbows, behind the knees, in front of the ankles, the buttocks, around the neck, around the eyes or ears?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C3,"Since birth, has your child ever had wheezing at any time in their life?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C31,"Since birth, has your child ever had eczema or atopic dermatitis?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C31_AGE_AMM,If yes (QS6_C31). At what age did the eczema first appear?,,,1.0.0,,integer,date,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C31_CONFIRME,If yes (QS6_C31). Has the diagnosis of eczema been confirmed by a doctor?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_oxoMiNP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C36,Y a-t-il eu pour vous ou le père de votre enfant un diagnostic d'asthme ?,,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C36_Chez_Lequel,"Si oui, chez lequel ?",,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C37,Has the mother or father of the children ever had a disgnosis of allergy?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C37_CHEZ_LEQUEL,"Parents diagnostic of allergy. If yes, specify who",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C37_LAQUELLE,"Parents diagnostic of allergy. If yes, specify which allergy.",,,1.0.0,,text,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C4,"During the past 12 months, have they had wheezing at any time?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_C5,"During the past 12 months, how many times has your child had wheezing crises ?",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_F3,"Since birth, has your child ever taken an inhaled treatment (ventoline, bricanyl, bécotide, pulmicort, sérétide, serevent, symbicort, flixotide, nasacort, rhinocort, flixonase,…)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_F3_FREQUENCE_1,"Since birth, has your child ever taken an inhaled treatment (ventoline, bricanyl, bécotide, pulmicort, sérétide, serevent, symbicort, flixotide, nasacort, rhinocort, flixonase,…); If yes, how often during the last 12 months (inhaled treatment 1)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_F3_FREQUENCE_2,"Since birth, has your child ever taken an inhaled treatment (ventoline, bricanyl, bécotide, pulmicort, sérétide, serevent, symbicort, flixotide, nasacort, rhinocort, flixonase,…); If yes, how often during the last 12 months (inhaled treatment 2)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_F3_FREQUENCE_3,"Since birth, has your child ever taken an inhaled treatment (ventoline, bricanyl, bécotide, pulmicort, sérétide, serevent, symbicort, flixotide, nasacort, rhinocort, flixonase,…); If yes, how often during the last 12 months (inhaled treatment 3)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,QS6_F3_FREQUENCE_4,"Since birth, has your child ever taken an inhaled treatment (ventoline, bricanyl, bécotide, pulmicort, sérétide, serevent, symbicort, flixotide, nasacort, rhinocort, flixonase,…); If yes, how often during the last 12 months (inhaled treatment 4)",,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,qe6_a1,"Actuellement, vivez-vous avec le père de l'enfant PELAGIE ?",,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,qe6_a2_mois,"Si le père de l'enfant ne vit pas à la maison, à quelle fréquence votre enfant a-t-il des contacts avec son père ? - nombre de fois par mois",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,qe6_a2_semaine,"Si le père de l'enfant ne vit pas à la maison, à quelle fréquence votre enfant a-t-il des contacts avec son père ? - nombre de fois par semaine",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,qe6_a4,Quelle est votre situation famililae d'un point de vue légal ?,,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,qe6_a4_date_aamm,"Si séparée ou divorcée, depuis combien de temps ?",,,1.00,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,qe6_a4autre,"Quelle est votre situation familiale, d’un point de vue légal ? - Autre, précisez:",,,1.00,,string,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,qe6_a6,Le père de l’enfant a-t-il un emploi ?,,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q6,qe6_a7,"Actuellement, avez-vous une activité professionnelle ?",,,1.00,,categorical,,,,,,,,,,,False,,,,, +PELAGIE,pepsy,DATE_RDV,date at WISC/WAIS assessment (at age 6),,,1.0.0,,date,,,,,,,,,,,False,,,,, +PELAGIE,pepsy,WISCCO,WISC-IV: Comprehension,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pepsy,WISCMC,WISC-IV: Digit Span,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pepsy,WISCS,WISC-IV: Similarities,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pepsy,WISCSLC,WISC-IV: Letter–Number Sequencing,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +PELAGIE,pepsy,WISCV,WISC-IV: Vocabulary,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_BPA_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFUnDA_LOD,mo_PFUnDA_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_BPA_total_string_t2,"BPA_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_BPA_total_string_t3,"BPA_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_BPF_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_BPF_total_string_t2,"BPF_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_BPF_total_string_t3,"BPF_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_BPS_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_BPS_total_string_t2,"BPS_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_BPS_total_string_t3,"BPS_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_BUPA_total_string_t2,"BUPA_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_BUPA_total_string_t3,"BUPA_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_ETPA_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_ETPA_total_string_t2,"ETPA_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_ETPA_total_string_t3,"ETPA_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MBzP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MBzP_string_t2,"MBzP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MBzP_string_t3,"MBzP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MECPP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MECPP_string_t2,"MECPP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MECPP_string_t3,"MECPP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEHHP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEHHP_string_t2,"MEHHP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEHHP_string_t3,"MEHHP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEHP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEHP_string_t2,"MEHP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEHP_string_t3,"MEHP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEOHP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEOHP_string_t2,"MEOHP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEOHP_string_t3,"MEOHP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEPA_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEPA_total_string_t2,"MEPA_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEPA_total_string_t3,"MEPA_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEP_string_t2,"MEP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MEP_string_t3,"MEP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MMCHP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MMCHP_string_t2,"MMCHP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MMCHP_string_t3,"MMCHP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MiBP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MiBP_string_t2,"MiBP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MiBP_string_t3,"MiBP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MnBP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MnBP_string_t2,"MnBP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_MnBP_string_t3,"MnBP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_OXBE_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_OXBE_total_string_t2,"OXBE_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFHpS_LOD,mo_PFHpS_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_OXBE_total_string_t3,"OXBE_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_PRPA_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_PRPA_total_string_t2,"PRPA_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_PRPA_total_string_t3,"PRPA_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_TRCS_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_TRCS_total_string_t2,"TRCS_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_TRCS_total_string_t3,"TRCS_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_cxMiNP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_cxMiNP_string_t2,"cxMiNP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_cxMiNP_string_t3,"cxMiNP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_ohMINCH_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_ohMINCH_string_t2,"ohMINCH_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_ohMINCH_string_t3,"ohMINCH_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_ohMPHP_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_ohMPHP_string_t2,"ohMPHP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_ohMPHP_string_t3,"ohMPHP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_ohMiNP_string_t2,"ohMiNP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_ohMiNP_string_t3,"ohMiNP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_oxoMINCH_LOD,LOD,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_oxoMINCH_string_t2,"oxoMINCH_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_oxoMINCH_string_t3,"oxoMINCH_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +OOM,EUROCAT,occupmo,,,,2.2,,,,,,false,"MOTHER’S OCCUPATION AT TIME OF CONCEPTION Code main occupation at time of conception (or earliest known time in first trimester). Note that the main purpose of the variable relates to potential teratogenic occupational exposures in early pregnancy. Be as precise as possible. Code according to 2008 (ISCO-08) Classification for births with birth dates from 2013. @@ -2995,248 +4115,274 @@ EUROCAT Supplement: 9997 = Unemployed 9999 = Not known whether employed or not",,"Table reference: EUROCAT 4 digit code 9999 = Not known -(do NOT use 9,99 or 999 for not known)",,, -Sepages,PE_preg_mr_2021-12-02_379,mo_oxoMiNP_string_t2,"oxoMiNP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,, -Sepages,PE_preg_mr_2021-12-02_379,mo_oxoMiNP_string_t3,"oxoMiNP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFDA_LOD,mo_PFDA_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFDA_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFHpS_LOD,mo_PFHpS_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFHpS_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFHxS_LOD,mo_PFHxS_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFHxS_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFNA_LOD,mo_PFNA_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFNA_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFOA_LOD,mo_PFOA_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFOA_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFOS_LOD,mo_PFOS_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFOS_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,PFAS_2021_12_10,mo_PFUnDA_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T1_1,Date of the ultrasound scan in 1st trimester,Sepages,T1,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T1_2,Date of the ultrasound scan in 1st trimester,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T1_3,Date of the ultrasound scan in 1st trimester,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T2_1,Date of the ultrasound scan in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T2_2,Date of the ultrasound scan in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3cab2_q07,weight (measure 2),Sepages,T3,1.0.0,,integer,kg,,,,,,,,, -AP,AP,id_universale,subject identification,,,1.0,,,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T2_3,Date of the ultrasound scan in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T2_4,Date of the ultrasound scan in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T3_1,Date of the ultrasound scan in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T3_2,Date of the ultrasound scan in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T3_3,Date of the ultrasound scan in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T3_4,Date of the ultrasound scan in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T3_5,Date of the ultrasound scan in 3rd trimester,Sepages,T3,1.0.0,,integer,mm,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,age_echo_jours_T1_1,Gestational age on ultrasound in 1st trimester,Sepages,T1,1.0.0,,integer,days,,,,this variable has to be combined with age_echo_semaines_T1_1 because it represent the number of days after the number of weeks,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,age_echo_jours_T1_2,Gestational age on ultrasound in 1st trimester,Sepages,T1,1.0.0,,integer,days,,,,this variable has to be combined with age_echo_semaines_T1_2 because it represent the number of days after the number of weeks,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q01p3,Has this problem required at least one visit to a doctor?,Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,age_echo_jours_T1_3,Gestational age on ultrasound in 1st trimester,Sepages,T1,1.0.0,,integer,days,,,,this variable has to be combined with age_echo_semaines_T1_3 because it represent the number of days after the number of weeks,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,age_echo_semaines_T1_1,Gestational age on ultrasound in 1st trimester,Sepages,T1,1.0.0,,integer,weeks,,,,this variable has to be combined with age_echo_jours_T1_1 because it represent the number of weeks without the number of days following,,,,, -RMR,RMR,ndoc,Document number,,,1.0,,,,,,,,,,,,Useful service variable to trace the number of the death certificate document (it is the equivalent of nprat of the SDO). -Sepages,Ultrasound_all_SLC_20220428_893,age_echo_semaines_T1_2,Gestational age on ultrasound in 1st trimester,Sepages,T1,1.0.0,,integer,weeks,,,,this variable has to be combined with age_echo_jours_T1_2 because it represent the number of weeks without the number of days following,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,age_echo_semaines_T1_3,Gestational age on ultrasound in 1st trimester,Sepages,T1,1.0.0,,integer,weeks,,,,this variable has to be combined with age_echo_jours_T1_3 because it represent the number of weeks without the number of days following,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1,Biparietal diameter in 1st trimester,Sepages,T1,1.0.0,,continuous,mm,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T2_1,Start date of pregnancy in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,, -ATHLETE_CDM,chemicals_ath,c_bpa_raw_birth,Newborn BPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T2_2,Start date of pregnancy in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T2_3,Start date of pregnancy in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T2_4,Start date of pregnancy in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T3_1,Start date of pregnancy in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T3_2,Start date of pregnancy in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,, -ATHLETE_CDM,outcome_ath,att_wave_1,,,,,,integer,,,,,Which wave of attentional function measurement was recorded?,,,Cognitive functioning,, -Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T3_3,Start date of pregnancy in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T3_4,Start date of pregnancy in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T3_5,Start date of pregnancy in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T1_1,Date of last menstrual period,Sepages,T1,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T1_2,Date of last menstrual period,Sepages,T1,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T1_3,Date of last menstrual period,Sepages,T1,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T2_1,Date of last menstrual period,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T2_2,Date of last menstrual period,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T2_3,Date of last menstrual period,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T2_4,Date of last menstrual period,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T3_1,Date of last menstrual period,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T3_2,Date of last menstrual period,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T3_3,Date of last menstrual period,Sepages,T1,1.0.0,,date,,,,,,,,,, +(do NOT use 9,99 or 999 for not known)",,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_oxoMiNP_string_t2,"oxoMiNP_total raw vals NIPH(no imp, no std)",Sepages,T2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PE_preg_mr_2021-12-02_379,mo_oxoMiNP_string_t3,"oxoMiNP_total raw vals NIPH(no imp, no std)",Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFDA_LOD,mo_PFDA_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFDA_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFHpS_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFHxS_LOD,mo_PFHxS_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFHxS_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFNA_LOD,mo_PFNA_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFNA_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFOA_LOD,mo_PFOA_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFOA_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFOS_LOD,mo_PFOS_LOD,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFOS_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,PFAS_2021_12_10,mo_PFUnDA_NIPH,Origine send by NIPH,Sepages,T2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T1_1,Date of the ultrasound scan in 1st trimester,Sepages,T1,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T1_2,Date of the ultrasound scan in 1st trimester,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T1_3,Date of the ultrasound scan in 1st trimester,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T2_1,Date of the ultrasound scan in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T2_2,Date of the ultrasound scan in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3cab2_q07,weight (measure 2),Sepages,T3,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +AP,AP,id_universale,subject identification,,,1.0,,,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T2_3,Date of the ultrasound scan in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T2_4,Date of the ultrasound scan in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T3_1,Date of the ultrasound scan in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T3_2,Date of the ultrasound scan in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T3_3,Date of the ultrasound scan in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T3_4,Date of the ultrasound scan in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,Date_examen_T3_5,Date of the ultrasound scan in 3rd trimester,Sepages,T3,1.0.0,,integer,mm,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,age_echo_jours_T1_1,Gestational age on ultrasound in 1st trimester,Sepages,T1,1.0.0,,integer,days,,,,this variable has to be combined with age_echo_semaines_T1_1 because it represent the number of days after the number of weeks,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,age_echo_jours_T1_2,Gestational age on ultrasound in 1st trimester,Sepages,T1,1.0.0,,integer,days,,,,this variable has to be combined with age_echo_semaines_T1_2 because it represent the number of days after the number of weeks,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q01p3,Has this problem required at least one visit to a doctor?,Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,age_echo_jours_T1_3,Gestational age on ultrasound in 1st trimester,Sepages,T1,1.0.0,,integer,days,,,,this variable has to be combined with age_echo_semaines_T1_3 because it represent the number of days after the number of weeks,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,age_echo_semaines_T1_1,Gestational age on ultrasound in 1st trimester,Sepages,T1,1.0.0,,integer,weeks,,,,this variable has to be combined with age_echo_jours_T1_1 because it represent the number of weeks without the number of days following,,,,,,False,,,,, +RMR,RMR,ndoc,Document number,,,1.0,,,,,,,,,,,,Useful service variable to trace the number of the death certificate document (it is the equivalent of nprat of the SDO).,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,age_echo_semaines_T1_2,Gestational age on ultrasound in 1st trimester,Sepages,T1,1.0.0,,integer,weeks,,,,this variable has to be combined with age_echo_jours_T1_2 because it represent the number of weeks without the number of days following,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,age_echo_semaines_T1_3,Gestational age on ultrasound in 1st trimester,Sepages,T1,1.0.0,,integer,weeks,,,,this variable has to be combined with age_echo_jours_T1_3 because it represent the number of weeks without the number of days following,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1,Biparietal diameter in 1st trimester,Sepages,T1,1.0.0,,continuous,mm,,,,,,,,,,True,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T2_1,Start date of pregnancy in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T2_2,Start date of pregnancy in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T2_3,Start date of pregnancy in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T2_4,Start date of pregnancy in 2nd trimester,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T3_1,Start date of pregnancy in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T3_2,Start date of pregnancy in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T3_3,Start date of pregnancy in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T3_4,Start date of pregnancy in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_debut_grossesse_T3_5,Start date of pregnancy in 3rd trimester,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T1_1,Date of last menstrual period,Sepages,T1,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T1_2,Date of last menstrual period,Sepages,T1,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T1_3,Date of last menstrual period,Sepages,T1,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T2_1,Date of last menstrual period,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T2_2,Date of last menstrual period,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +OOM,EUROCAT,moanom,,,,2.2,,,,,,false,"MOTHER’S FAMILY WITH ANOMALIES +Include mother herself as well as mother’s family. Specify type of anomaly in written text and relation to the infant. + +If the aetiology is known, “same” means the same aetiology, even if the spectrum of malformations present is slightly different. + +If the aetiology is unknown or multifactorial, “same” is a matter of judgment by a qualified coder, but full specification of the anomaly should be given, whether other or the same. + +“Same and other” refers to two different relatives. If a relative has both the same and another anomaly, code “same”. + +Restrict the family to first, second and third degree relatives (mother, father, siblings, grandparents, aunts, uncles, half-siblings, first cousins). + +Always give details in text variable 73 SP_MOANOM.",,"1 = Same +2 = Other +3 = Same and other +4 = No +9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T2_3,Date of last menstrual period,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T2_4,Date of last menstrual period,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T3_1,Date of last menstrual period,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T3_2,Date of last menstrual period,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T3_3,Date of last menstrual period,Sepages,T1,1.0.0,,date,,,,,,,,,,,False,,,,, ARS_PS,PS,"data_inizio_trattament - o",treatment start date,,,1.0,,,,,,,,,,,,From TRATTAMENTO table -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T3_4,Date of last menstrual period,Sepages,T2,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T3_5,Date of last menstrual period,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,lcc_T1_1,Crown-rump length in 1st trimester,Sepages,T1,1.0.0,,continuous,mm,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1,Femur length of the fetus in 2nd trimester,Sepages,T2,1.0.0,,continuous,mm,,,,,,,,, -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1,Abdominal circumference of the fetus in 2nd trimester,Sepages,T2,1.0.0,,continuous,mm,,,,,,,,, -OOM_CDM,EUROCAT,illbef2,,,,2.2,,,,,,false,ILLNESS BEFORE PREGNANCY 2 - AS FOR ILLBEF1,,Table reference: EUROCAT/EUROmediCAT.,,, -Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1,Circumference of the head of the fetus in 2nd trimester,Sepages,T2,1.0.0,,continuous,mm,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai1_q08,"Between 0 and 2 months of age, did your child have asthma?",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q01,"Between the ages of 2 and 12 months, did your child have a cold, nasopharyngitis or a stuffy nose?",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -FARMACEUTICA,FARMACEUTICA,NPEZZI,Numero confezioni,,,1.0,,,,,,,"Depends on the values of the ‘FLUSSO’ variable, usually it refers to number of packages",,,,,Number of units prescribed -Sepages,base_respi_enfant_20210326,cy1hai2_q02,"Between the ages of 2 and 12 months, did your child have wheezing in the chest at any time?",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q04,"Between the ages of 2 and 12 months, did your child have coughing fits at night when he or she did not have any respiratory infections (neither a cold, nor rhinopharyngitis, nor flu, ...)?",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q04p3,Has this problem required at least one visit to a doctor?,Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q05,"Between the ages of 2 and 12 months, did your child have an ear infection?",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q05p3,Has this problem required at least one visit to a doctor?,Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q06,"Between 2 and 12 months old, did your child have Bronchiolitis ?",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q06p3,Has this problem required at least one visit to a doctor?,Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q07,"Between the ages of 2 and 12 months , did your child have Bronchitis ?",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q07p3,Has this problem required at least one visit to a physician?,Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q08,"Between the ages of 2 and 12 months , did your child have asthma ?",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q08p4,Has the diagnosis of asthma been confirmed by a physician?,Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q08p5,Has this problem required treatment by a doctor at least once?,Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_1a_v1_1,cy1eas1_q06,"Since the birth of the child SEPAGES, I have a new spouse",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q09,"Between the ages of 2 and 12 months, did your child have an itchy rash (red patches, pimples, etc.) on the skin that appears and disappears intermittently?",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q09p1,"Has this itchy rash affected any of the areas of the elbows, behind the knees, in front of the ankles, under the buttocks, around the neck, around the eyes or ears?",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q09p2,Has this problem required at least one visit to a doctor?,Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q09p3,What was the diagnosis?,Sepages,Y1,1.0.0,,categorical,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy1hai2_q11,Has a doctor ever told you that your child had a food allergy?,Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy2hai3_q01p3,Has this problem required at least one visit to a physician?,Sepages,Y2,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy2hai3_q04p3,Has this problem required at least one visit to a doctor?,Sepages,Y2,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy2hai3_q05p3,Has this problem required at least one visit to a doctor?,Sepages,Y2,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy2hai3_q06p3,Has this problem required at least one visit to a doctor?,Sepages,Y2,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy2hai3_q07p3,Has this problem required at least one visit to a physician?,Sepages,Y2,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy2hai3_q08p4,Has the diagnosis of asthma been confirmed by a physician?,Sepages,Y2,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy2hai3_q08p5,Has this problem required treatment by a doctor at least once?,Sepages,Y2,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy2hai3_q09p1,"Has this itchy rash affected any of the following areas: elbows, behind the knees, in front of the ankles, under the buttocks, around the neck, around the eyes or ears?",Sepages,Y2,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy2hai3_q09p2,Has this problem required at least one visit to a doctor?,Sepages,Y2,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy2hai3_q09p3,What was the diagnosis?,Sepages,Y2,1.0.0,,categorical,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3cak1_q34p10,Measurement of the largest diameter papule:,Sepages,Y3,1.0.0,,integer,cm,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3cak1_q34p13,Measurement of the largest diameter papule:,Sepages,Y3,1.0.0,,integer,cm,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3cak1_q34p16,Measurement of the largest diameter papule:,Sepages,Y3,1.0.0,,integer,cm,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3cak1_q34p19,Measurement of the largest diameter papule:,Sepages,Y3,1.0.0,,integer,cm,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3cak1_q34p22,Measurement of the largest diameter papule:,Sepages,Y3,1.0.0,,integer,cm,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3cak1_q34p37,Measuring the largest diameter papule:,Sepages,Y3,1.0.0,,integer,cm,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3cab2_q06,weight (measure 1),Sepages,T3,1.0.0,,integer,kg,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q01p2,Has this problem required at least one visit to a physician?,Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q04p2,Has this problem required at least one visit to a physician?,Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q05p2,Has this problem required at least one visit to a physician?,Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q06p2,Has this problem required at least one visit to a physician?,Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q07p3,Has the diagnosis of asthma been confirmed by a physician?,Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q07p4,Has this problem required treatment by a doctor at least once?,Sepages,Y3,1.0.0,,binary,,,,,,,,,, -AP,AP,cod_topog,topographical location code,,,1.0,,,,,,,,,,,,topographical code relating to the tumor site according to SNOMED classification vers.3 -Sepages,bdd_2a_v_1_0,cy2eas3_q05,"Since the child's 12 months of age SEPAGES, I have changed spouses",Sepages,Y2,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q09,"Since turning 2, has your child ever had sneezing, a runny nose, or a stuffy nose when he or she didn't have a respiratory infection (not a cold, not nasopharyngitis, not the flu)?",Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q09p2,Has your child ever had allergic rhinitis?,Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q09p3,Has your child ever had hay fever?,Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q10p1,"Has this itchy rash affected any of the following areas: elbows, behind the knees, in front of the ankles, under the buttocks, around the neck, around the eyes or ears?",Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q10p2,Has this problem required at least one visit to a doctor?,Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q10p3,What was the diagnosis?,Sepages,Y3,1.0.0,,categorical,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q13,"Has your child been treated with inhaled corticosteroids (e.g., Becotide, Beclone, Flixotide, Beclospin, Pulmicort, Budesonide, Seretide, etc.) since he/she was 2 years old?",Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q14,"Since his/her 2nd birthday, has your child been treated with short-acting beta-2 mimetics (e.g. Ventolin, Salbutamol, Terbutaline, etc)?",Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,base_respi_enfant_20210326,cy3haw1_q15,"Since his/her 2nd birthday, has your child been treated with oral corticosteroids (e.g. betamethasone, celestene, prednisone, solupred, etc)?",Sepages,Y3,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_1a_v1_1,cy1caf1_q12,Hypospadias,,,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_1a_v1_1,cy1eas1_q02,"Since the birth of the child SEPAGES, I got divorced",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_1a_v1_1,cy1eas1_q03,"Since the birth of the child SEPAGES, I separated",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_1a_v1_1,cy1eas1_q04,"Since the birth of the child SEPAGES, I became a widow",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_1a_v1_1,cy1eas1_q05,"Since the birth of the child SEPAGES, I have changed spouses",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -SALM,SALM,comorbidita_1,comorbidity 1,,,1.0,,,,,,,,,,,,"ICD9-CM code for the adult sector, ICD10 code for the childhood / adolescence sector" -Sepages,bdd_1a_v1_1,cy1eas2_q03,"Since the child's 6th month of age SEPAGES, I separated",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_1a_v1_1,cy1eas2_q04,"Since the child's 6th month of age SEPAGES, I became a widow",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_1a_v1_1,cy1eas2_q05,"Since the child's 6th month of age SEPAGES, I have changed spouses",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_1a_v1_1,cy1eas2_q06,"Since the child's 6th month of age SEPAGES, I have a new spouse",Sepages,Y1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_2a_v_1_0,cy2eas3_q03,"Since the child's 12 months of age SEPAGES, I separated",Sepages,Y2,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_2a_v_1_0,cy2eas3_q04,"Since the child's 12 months of age SEPAGES, I became a widow",Sepages,Y2,1.0.0,,binary,,,,,,,,,, -ATHLETE_CDM,chemicals_ath,c_etpa_raw_birth,Newborn ETPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -Sepages,bdd_2a_v_1_0,cy2eas3_q06,"Since the child's 12 months of age SEPAGES, I have a new spouse",Sepages,Y2,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,ch_sex,"Sex of child (1=male, 2=female)",Sepages,T1,1.0.0,,categorical,,,,,"1=male, 2=female",,,,, -Sepages,bdd_grossesse_v5_1,child_no,new variable (child_no) generated for athlete,,,1.0.0,,integer,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,coh_country,new variable (coh_country) generated for athlete,,,1.0.0,,integer,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,cohort_id,new variable (cohort_id) generated for athlete,,,1.0.0,,integer,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,cy1hao1_q10,Birth type,,,1.0.0,,categorical,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,date_inclusion,Inclusion date,,,1.0.0,,date,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_bd,Birth date (mother),,,1.0.0,,date,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_coupl_pr,"Woman lives with a partner during pregnancy, N/Y",,,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_he,Maternal height,,,1.0.0,,integer,cm,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_isco_cat_major,isco major classification during pregnancy,,,1.0.0,,categorical,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_outcome_preg,Number of pregnancy resulting in live birth,,,1.0.0,,integer,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_tob_avgr,"Maternal smoking before pregnancy, cig./day",,,1.0.0,,integer,cig/day,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_tob_gr_anyt_yn_n2,"Maternal smoking during any trim of diagnosed pregnancy, N/Y",,,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_tob_grt1,"Maternal smoking during 1st trim of pregnancy, after diagnosis, cig./day",,,1.0.0,,integer,cig/day,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_tob_grt1_yn,"Maternal smoking during 1st trim of pregnancy, after diagnosis, N/Y",,,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_tob_grt2,"Maternal smoking during 2nd trim of pregnancy, cig./day",,,1.0.0,,integer,cig/day,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_tob_grt2_yn,"Maternal smoking during 2nd trim of pregnancy, N/Y",,,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_tob_grt3_n2,"Maternal smoking during 3rd trim of pregnancy, cig./day",,,1.0.0,,integer,cig/day,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_tob_grt3_yn_n2,"Maternal smoking during 3rd trim of pregnancy, N/Y",,,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mo_we_bepr,Maternal weight before pregnancy (kg),,,1.0.0,,integer,kg,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1ean1_date_creation,date of creation of the questionnaire mt1ean1,,,1.0.0,,date,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1ean1_q167,How many drinks have you had PER MONTH since you found out you were pregnant?,Sepages,T1,1.0.0,,categorical,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1ean1_q167p1,Number of glasses of cider or beer,Sepages,T1,1.0.0,,integer,drinks/week,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1ean1_q167p2,"Number of glasses of white, red or rosé wine",Sepages,T1,1.0.0,,integer,drinks/week,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1ean1_q167p3,"Number of glasses of aperitifs (pastis, cherry, porto, martini,...)",Sepages,T1,1.0.0,,integer,drinks/week,,,,,,,,, -AP,AP,diagnosi,full diagnosis,,,1.0,,,,,,,,,,,,"detailed description of the diagnosis, with specific information on the type and characteristics of the tumor" -Sepages,bdd_grossesse_v5_1,mt1ean1_q167p4,"Number of glasses of strong alcohol (whisky, gin, vodka, premix,...)",Sepages,T1,1.0.0,,integer,drinks/week,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1haa1_date_creation,date of creation of the questionnaire mt1haa1,Sepages,T1,1.0.0,,date,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1haa1_q01,General history. Insulin-dependent (or type 1) diabetes:,Sepages,T1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1haa1_q02,General history. Non-insulin dependent (or type 2) diabetes ,Sepages,T1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1haa1_q17,"General history. Depression, medically diagnosed (whether or not there has been treatment):",Sepages,T1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1haa1_q40,"Since the beginning of your pregnancy, diagnosed pregnancy-related complications",Sepages,T1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1haa1_q40p1,"Since the beginning of your pregnancy, diagnosis of Hypertension ",Sepages,T1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1haa1_q40p5,"Since the beginning of your pregnancy, diagnosis of Eclampsia",Sepages,T1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1haa1_q40p7,"Since the beginning of your pregnancy, diagnosis of gestational diabetes",Sepages,T1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1hab1_q16,Have you ever had asthma?,Sepages,T1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1hab1_q16p1,Has this diagnosis (asthma) been confirmed by a doctor?,Sepages,T1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1hab1_q21,Have you ever had eczema?,Sepages,T1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1hab1_q21p1,Has this diagnosis been confirmed by a doctor?,Sepages,T1,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt1saa1_q02,What ethnic background do you consider yourself?,Sepages,T1,1.0.0,,categorical,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt2ean2_date_creation,date of creation of the questionnaire mt2ean2,,,1.0.0,,date,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt2ean2_q167,"During the second trimester, How many drinks have you had PER MONTH",Sepages,T2,1.0.0,,categorical,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3cab2_date_creation,date of creation of the questionnaire mt3cab2,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3eaf1_q01,Do you currently have any pets in your home?,Sepages,T3,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p1,Dog(s):,Sepages,T3,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p13,Rodent(s):,Sepages,T3,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p17,Do you have any other pets:,Sepages,T3,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p19,Specify:,Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p23,Specify:,Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p27,Specify:,Sepages,T3,1.0.0,,string,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p5,Cat(s):,Sepages,T3,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3ean3_date_creation,date of creation of the questionnaire mt3ean3,,,1.0.0,,date,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3ean3_q167,"During the third trimester, How many drinks have you had PER MONTH",Sepages,T3,1.0.0,,categorical,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3haf1_date_creation,date of creation of the questionnaire mt3haf1,Sepages,T3,1.0.0,,date,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3laa1_date_creation,date of creation of the questionnaire mt3laa1,,,1.0.0,,date,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,mt3laa1_q04,Have you had at least one drink of alcohol PER MONTH since you found out you were pregnant?,Sepages,T3,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,po_datedel,Date of delivery,,,1.0.0,,date,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,po_datelmp,Date of last menstrual period,,,1.0.0,,date,,,,,,,,,, -Sepages,bdd_grossesse_v5_1,po_hc,Head circumference at birth,,,1.0.0,,integer,cm,,,,,,,,, -Sepages,bdd_grossesse_v5_1,po_he,Child height at birth,,,1.0.0,,integer,cm,,,,,,,,, -Sepages,bdd_grossesse_v5_1,po_w,Birth weight (child),,,1.0.0,,integer,gram,,,,,,,,, -Sepages,bdd_grossesse_v5_1,preg_no,new variable (preg_no) generated for athlete,,,1.0.0,,integer,,,,,,,,,, -Sepages,bdd_pere_1_2,fa_isco_cat_major,isco major classification during pregnancy,,,1.0.0,,categorical,,,,,,,,,, -Sepages,bdd_pere_1_2,ft2cae1_q31,height (measure 1),Sepages,T2,1.0.0,,integer,cm,,,,,,,,, -Sepages,bdd_pere_1_2,ft2cae1_q32,height (measure 2),Sepages,T2,1.0.0,,integer,cm,,,,,,,,, -Sepages,bdd_pere_1_2,ft2cae1_q35,weight (measure 1),Sepages,T2,1.0.0,,integer,kg,,,,,,,,, -Sepages,bdd_pere_1_2,ft2cae1_q36,weight (measure 2),Sepages,T2,1.0.0,,integer,kg,,,,,,,,, -Sepages,bdd_pere_1_2,ft2had1_q03,General history. Insulin-dependent (or type 1) diabetes:,Sepages,T2,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_pere_1_2,ft2had1_q04,General history. Non-insulin dependent (or type 2) diabetes ,Sepages,T2,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_pere_1_2,ft2had1_q09,General history. Depression,Sepages,T2,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_pere_1_2,ft2hae1_q15,Have you ever had asthma ?,Sepages,T2,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_pere_1_2,ft2hae1_q15p1,Has this diagnosis been confirmed by a doctor?,Sepages,T2,1.0.0,,binary,,,,,,,,,, -Sepages,bdd_pere_1_2,ft2sac1_q02,What ethnic background do you consider yourself?,,,1.0.0,,categorical,,,,,,,,,, -Sepages,bdd_pere_1_2,ft2sac1_q03,What is your level of education (this is the last diploma obtained),,,1.0.0,,categorical,,,,,,,,,, -Sepages,ch_bf_mr&ag_2021-12-02_5,bf_duration_till48w,number of weeks breastfed before week 48,,,1.0.0,,integer,,,,,,,,,, -Sepages,code_helix_athlete,quest_mhelix1,Helix ident,Sepages,T1,1.0.0,,integer,,,,,,,,,, -Sepages,ddn_pere,ddn_pere,Birth date (father),,,1.0.0,,date,,,,,,,,,, -Sepages,efr_mere_LMAB_20210902_26,mo_ethnie,ethnic group collected at the time of respiratory exam,,,1.0.0,,categorical,,,,,,,,,, -Sepages,efr_pere_LMAB_20210902_26,fa_ethnie,ethnic group collected at the time of respiratory exam,,,1.0.0,,categorical,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPA_total_LOD_M2,M2 BPA_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPA_total_LOD_Y1,Y1 BPA_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPA_total_string_M2,"M2 BPA_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPA_total_string_Y1,"Y1 BPA_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPF_total_LOD_M2,M2 BPF_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPF_total_LOD_Y1,Y1 BPF_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPF_total_string_M2,"M2 BPF_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPF_total_string_Y1,"Y1 BPF_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPS_total_LOD_M2,M2 BPS_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPS_total_LOD_Y1,Y1 BPS_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPS_total_string_M2,"M2 BPS_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPS_total_string_Y1,"Y1 BPS_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BUPA_total_LOD_M2,M2 BUPA_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BUPA_total_LOD_Y1,Y1 BUPA_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BUPA_total_string_M2,"M2 BUPA_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BUPA_total_string_Y1,"Y1 BUPA_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ETPA_total_LOD_M2,M2 ETPA_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ETPA_total_LOD_Y1,Y1 ETPA_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ETPA_total_string_M2,"M2 ETPA_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ETPA_total_string_Y1,"Y1 ETPA_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MBzP_LOD_M2,M2 MBzP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MBzP_LOD_Y1,Y1 MBzP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MBzP_string_M2,"M2 MBzP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MBzP_string_Y1,"Y1 MBzP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -OOM_CDM,EUROCAT,omim,,,,2.2,,,,,,false,"OMIM / TYPE OF MENDELIAN INHERITANCE + o",treatment start date,,,1.0,,,,,,,,,,,,From TRATTAMENTO table,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T3_4,Date of last menstrual period,Sepages,T2,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,date_dernieres_regles_T3_5,Date of last menstrual period,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,lcc_T1_1,Crown-rump length in 1st trimester,Sepages,T1,1.0.0,,continuous,mm,,,,,,,,,,True,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1,Femur length of the fetus in 2nd trimester,Sepages,T2,1.0.0,,continuous,mm,,,,,,,,,,True,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1,Abdominal circumference of the fetus in 2nd trimester,Sepages,T2,1.0.0,,continuous,mm,,,,,,,,,,True,,,,, +OOM,EUROCAT,illbef2,,,,2.2,,,,,,false,ILLNESS BEFORE PREGNANCY 2 - AS FOR ILLBEF1,,Table reference: EUROCAT/EUROmediCAT.,,,,False,,,,, +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1,Circumference of the head of the fetus in 2nd trimester,Sepages,T2,1.0.0,,continuous,mm,,,,,,,,,,True,,,,, +Sepages,base_respi_enfant_20210326,cy1hai1_q08,"Between 0 and 2 months of age, did your child have asthma?",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q01,"Between the ages of 2 and 12 months, did your child have a cold, nasopharyngitis or a stuffy nose?",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,True,,,,, +FARMACEUTICA,FARMACEUTICA,NPEZZI,Numero confezioni,,,1.0,,,,,,,"Depends on the values of the ‘FLUSSO’ variable, usually it refers to number of packages",,,,,Number of units prescribed,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q02,"Between the ages of 2 and 12 months, did your child have wheezing in the chest at any time?",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,True,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q04,"Between the ages of 2 and 12 months, did your child have coughing fits at night when he or she did not have any respiratory infections (neither a cold, nor rhinopharyngitis, nor flu, ...)?",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,True,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q04p3,Has this problem required at least one visit to a doctor?,Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q05,"Between the ages of 2 and 12 months, did your child have an ear infection?",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,True,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q05p3,Has this problem required at least one visit to a doctor?,Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q06,"Between 2 and 12 months old, did your child have Bronchiolitis ?",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,True,,,,, +OOM,EUROCAT,person_id_child,,,,2.2,,,,,,false,"If the datasource contains other tables beyond EUROCAT, indicate here the identifier of the child that is used in the other tables",,"Table reference: EUROCAT/EUROmediCAT. If the datasource contains other tables beyond EUROCAT,the proportion of rows that have a valid value in this field is a quality indicator",,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q06p3,Has this problem required at least one visit to a doctor?,Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q07,"Between the ages of 2 and 12 months , did your child have Bronchitis ?",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,True,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q07p3,Has this problem required at least one visit to a physician?,Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q08,"Between the ages of 2 and 12 months , did your child have asthma ?",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,True,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q08p4,Has the diagnosis of asthma been confirmed by a physician?,Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q08p5,Has this problem required treatment by a doctor at least once?,Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_1a_v1_1,cy1eas1_q06,"Since the birth of the child SEPAGES, I have a new spouse",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q09,"Between the ages of 2 and 12 months, did your child have an itchy rash (red patches, pimples, etc.) on the skin that appears and disappears intermittently?",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,True,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q09p1,"Has this itchy rash affected any of the areas of the elbows, behind the knees, in front of the ankles, under the buttocks, around the neck, around the eyes or ears?",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q09p2,Has this problem required at least one visit to a doctor?,Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q09p3,What was the diagnosis?,Sepages,Y1,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy1hai2_q11,Has a doctor ever told you that your child had a food allergy?,Sepages,Y1,1.0.0,,binary,,,,,,,,,,,True,,,,, +Sepages,base_respi_enfant_20210326,cy2hai3_q01p3,Has this problem required at least one visit to a physician?,Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy2hai3_q04p3,Has this problem required at least one visit to a doctor?,Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy2hai3_q05p3,Has this problem required at least one visit to a doctor?,Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy2hai3_q06p3,Has this problem required at least one visit to a doctor?,Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy2hai3_q07p3,Has this problem required at least one visit to a physician?,Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy2hai3_q08p4,Has the diagnosis of asthma been confirmed by a physician?,Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy2hai3_q08p5,Has this problem required treatment by a doctor at least once?,Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy2hai3_q09p1,"Has this itchy rash affected any of the following areas: elbows, behind the knees, in front of the ankles, under the buttocks, around the neck, around the eyes or ears?",Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +OOM,EUROCAT,pm,,,,2.2,,,,,,false,"POST MORTEM EXAMINATION +If performed record the malformation(s) discovered in the “malformation” section in the form. If other findings record in the “comments” space (variable 80). + +“Results known” means that the autopsy record has been reviewed by the registry. + +“Results not known” means that the autopsy record was not available to the registry. + +“Macerated fetus” means that although a post mortem was performed, maceration of the fetus prevented a full protocol from being followed.",,"1 = Performed,results known +2 = Performed,results not known +3 = Not performed +4 = Macerated fetus +9 = Not known,Table reference: EUROCAT/EUROmediCAT.""",,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy2hai3_q09p2,Has this problem required at least one visit to a doctor?,Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy2hai3_q09p3,What was the diagnosis?,Sepages,Y2,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3cak1_q34p10,Measurement of the largest diameter papule:,Sepages,Y3,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3cak1_q34p13,Measurement of the largest diameter papule:,Sepages,Y3,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3cak1_q34p16,Measurement of the largest diameter papule:,Sepages,Y3,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3cak1_q34p19,Measurement of the largest diameter papule:,Sepages,Y3,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3cak1_q34p22,Measurement of the largest diameter papule:,Sepages,Y3,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3cak1_q34p37,Measuring the largest diameter papule:,Sepages,Y3,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3cab2_q06,weight (measure 1),Sepages,T3,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q01p2,Has this problem required at least one visit to a physician?,Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q04p2,Has this problem required at least one visit to a physician?,Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q05p2,Has this problem required at least one visit to a physician?,Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q06p2,Has this problem required at least one visit to a physician?,Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q07p3,Has the diagnosis of asthma been confirmed by a physician?,Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q07p4,Has this problem required treatment by a doctor at least once?,Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +AP,AP,cod_topog,topographical location code,,,1.0,,,,,,,,,,,,topographical code relating to the tumor site according to SNOMED classification vers.3,False,,,,, +Sepages,bdd_2a_v_1_0,cy2eas3_q05,"Since the child's 12 months of age SEPAGES, I have changed spouses",Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q09,"Since turning 2, has your child ever had sneezing, a runny nose, or a stuffy nose when he or she didn't have a respiratory infection (not a cold, not nasopharyngitis, not the flu)?",Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q09p2,Has your child ever had allergic rhinitis?,Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q09p3,Has your child ever had hay fever?,Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q10p1,"Has this itchy rash affected any of the following areas: elbows, behind the knees, in front of the ankles, under the buttocks, around the neck, around the eyes or ears?",Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q10p2,Has this problem required at least one visit to a doctor?,Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q10p3,What was the diagnosis?,Sepages,Y3,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q13,"Has your child been treated with inhaled corticosteroids (e.g., Becotide, Beclone, Flixotide, Beclospin, Pulmicort, Budesonide, Seretide, etc.) since he/she was 2 years old?",Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q14,"Since his/her 2nd birthday, has your child been treated with short-acting beta-2 mimetics (e.g. Ventolin, Salbutamol, Terbutaline, etc)?",Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,base_respi_enfant_20210326,cy3haw1_q15,"Since his/her 2nd birthday, has your child been treated with oral corticosteroids (e.g. betamethasone, celestene, prednisone, solupred, etc)?",Sepages,Y3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_1a_v1_1,cy1caf1_q12,Hypospadias,,,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_1a_v1_1,cy1eas1_q02,"Since the birth of the child SEPAGES, I got divorced",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,True,,,,, +Sepages,bdd_1a_v1_1,cy1eas1_q03,"Since the birth of the child SEPAGES, I separated",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_1a_v1_1,cy1eas1_q04,"Since the birth of the child SEPAGES, I became a widow",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_1a_v1_1,cy1eas1_q05,"Since the birth of the child SEPAGES, I have changed spouses",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +SALM,SALM,comorbidita_1,comorbidity 1,,,1.0,,,,,,,,,,,,"ICD9-CM code for the adult sector, ICD10 code for the childhood / adolescence sector",False,,,,, +Sepages,bdd_1a_v1_1,cy1eas2_q03,"Since the child's 6th month of age SEPAGES, I separated",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_1a_v1_1,cy1eas2_q04,"Since the child's 6th month of age SEPAGES, I became a widow",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_1a_v1_1,cy1eas2_q05,"Since the child's 6th month of age SEPAGES, I have changed spouses",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_1a_v1_1,cy1eas2_q06,"Since the child's 6th month of age SEPAGES, I have a new spouse",Sepages,Y1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_2a_v_1_0,cy2eas3_q03,"Since the child's 12 months of age SEPAGES, I separated",Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_2a_v_1_0,cy2eas3_q04,"Since the child's 12 months of age SEPAGES, I became a widow",Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_2a_v_1_0,cy2eas3_q06,"Since the child's 12 months of age SEPAGES, I have a new spouse",Sepages,Y2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,ch_sex,"Sex of child (1=male, 2=female)",Sepages,T1,1.0.0,,categorical,,,,,"1=male, 2=female",,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,child_no,new variable (child_no) generated for athlete,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,coh_country,new variable (coh_country) generated for athlete,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,cohort_id,new variable (cohort_id) generated for athlete,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,cy1hao1_q10,Birth type,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,date_inclusion,Inclusion date,,,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_bd,Birth date (mother),,,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_coupl_pr,"Woman lives with a partner during pregnancy, N/Y",,,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_he,Maternal height,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_isco_cat_major,isco major classification during pregnancy,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_outcome_preg,Number of pregnancy resulting in live birth,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_tob_avgr,"Maternal smoking before pregnancy, cig./day",,,1.0.0,,integer,cig/day,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_tob_gr_anyt_yn_n2,"Maternal smoking during any trim of diagnosed pregnancy, N/Y",,,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_tob_grt1,"Maternal smoking during 1st trim of pregnancy, after diagnosis, cig./day",,,1.0.0,,integer,cig/day,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_tob_grt1_yn,"Maternal smoking during 1st trim of pregnancy, after diagnosis, N/Y",,,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_tob_grt2,"Maternal smoking during 2nd trim of pregnancy, cig./day",,,1.0.0,,integer,cig/day,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_tob_grt2_yn,"Maternal smoking during 2nd trim of pregnancy, N/Y",,,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_tob_grt3_n2,"Maternal smoking during 3rd trim of pregnancy, cig./day",,,1.0.0,,integer,cig/day,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_tob_grt3_yn_n2,"Maternal smoking during 3rd trim of pregnancy, N/Y",,,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mo_we_bepr,Maternal weight before pregnancy (kg),,,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt1ean1_date_creation,date of creation of the questionnaire mt1ean1,,,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt1ean1_q167,How many drinks have you had PER MONTH since you found out you were pregnant?,Sepages,T1,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt1ean1_q167p1,Number of glasses of cider or beer,Sepages,T1,1.0.0,,integer,drinks/week,,,,,,,,,,True,,,,, +Sepages,bdd_grossesse_v5_1,mt1ean1_q167p2,"Number of glasses of white, red or rosé wine",Sepages,T1,1.0.0,,integer,drinks/week,,,,,,,,,,True,,,,, +Sepages,bdd_grossesse_v5_1,mt1ean1_q167p3,"Number of glasses of aperitifs (pastis, cherry, porto, martini,...)",Sepages,T1,1.0.0,,integer,drinks/week,,,,,,,,,,True,,,,, +AP,AP,diagnosi,full diagnosis,,,1.0,,,,,,,,,,,,"detailed description of the diagnosis, with specific information on the type and characteristics of the tumor",False,,,,, +Sepages,bdd_grossesse_v5_1,mt1ean1_q167p4,"Number of glasses of strong alcohol (whisky, gin, vodka, premix,...)",Sepages,T1,1.0.0,,integer,drinks/week,,,,,,,,,,True,,,,, +Sepages,bdd_grossesse_v5_1,mt1haa1_date_creation,date of creation of the questionnaire mt1haa1,Sepages,T1,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt1haa1_q01,General history. Insulin-dependent (or type 1) diabetes:,Sepages,T1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt1haa1_q02,General history. Non-insulin dependent (or type 2) diabetes ,Sepages,T1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt1haa1_q17,"General history. Depression, medically diagnosed (whether or not there has been treatment):",Sepages,T1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt1haa1_q40,"Since the beginning of your pregnancy, diagnosed pregnancy-related complications",Sepages,T1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt1haa1_q40p1,"Since the beginning of your pregnancy, diagnosis of Hypertension ",Sepages,T1,1.0.0,,binary,,,,,,,,,,,True,,,,, +Sepages,bdd_grossesse_v5_1,mt1haa1_q40p5,"Since the beginning of your pregnancy, diagnosis of Eclampsia",Sepages,T1,1.0.0,,binary,,,,,,,,,,,True,,,,, +Sepages,bdd_grossesse_v5_1,mt1haa1_q40p7,"Since the beginning of your pregnancy, diagnosis of gestational diabetes",Sepages,T1,1.0.0,,binary,,,,,,,,,,,True,,,,, +Sepages,bdd_grossesse_v5_1,mt1hab1_q16,Have you ever had asthma?,Sepages,T1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt1hab1_q16p1,Has this diagnosis (asthma) been confirmed by a doctor?,Sepages,T1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt1hab1_q21,Have you ever had eczema?,Sepages,T1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt1hab1_q21p1,Has this diagnosis been confirmed by a doctor?,Sepages,T1,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt1saa1_q02,What ethnic background do you consider yourself?,Sepages,T1,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt2ean2_date_creation,date of creation of the questionnaire mt2ean2,,,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt2ean2_q167,"During the second trimester, How many drinks have you had PER MONTH",Sepages,T2,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3cab2_date_creation,date of creation of the questionnaire mt3cab2,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3eaf1_q01,Do you currently have any pets in your home?,Sepages,T3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p1,Dog(s):,Sepages,T3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p13,Rodent(s):,Sepages,T3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p17,Do you have any other pets:,Sepages,T3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p19,Specify:,Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p23,Specify:,Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p27,Specify:,Sepages,T3,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3eaf1_q01p5,Cat(s):,Sepages,T3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3ean3_date_creation,date of creation of the questionnaire mt3ean3,,,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3ean3_q167,"During the third trimester, How many drinks have you had PER MONTH",Sepages,T3,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3haf1_date_creation,date of creation of the questionnaire mt3haf1,Sepages,T3,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3laa1_date_creation,date of creation of the questionnaire mt3laa1,,,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,mt3laa1_q04,Have you had at least one drink of alcohol PER MONTH since you found out you were pregnant?,Sepages,T3,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,po_datedel,Date of delivery,,,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,po_datelmp,Date of last menstrual period,,,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,po_hc,Head circumference at birth,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,po_he,Child height at birth,,,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,po_w,Birth weight (child),,,1.0.0,,integer,gram,,,,,,,,,,False,,,,, +Sepages,bdd_grossesse_v5_1,preg_no,new variable (preg_no) generated for athlete,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,bdd_pere_1_2,fa_isco_cat_major,isco major classification during pregnancy,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,bdd_pere_1_2,ft2cae1_q31,height (measure 1),Sepages,T2,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +Sepages,bdd_pere_1_2,ft2cae1_q32,height (measure 2),Sepages,T2,1.0.0,,integer,cm,,,,,,,,,,False,,,,, +Sepages,bdd_pere_1_2,ft2cae1_q35,weight (measure 1),Sepages,T2,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +Sepages,bdd_pere_1_2,ft2cae1_q36,weight (measure 2),Sepages,T2,1.0.0,,integer,kg,,,,,,,,,,False,,,,, +Sepages,bdd_pere_1_2,ft2had1_q03,General history. Insulin-dependent (or type 1) diabetes:,Sepages,T2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_pere_1_2,ft2had1_q04,General history. Non-insulin dependent (or type 2) diabetes ,Sepages,T2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_pere_1_2,ft2had1_q09,General history. Depression,Sepages,T2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_pere_1_2,ft2hae1_q15,Have you ever had asthma ?,Sepages,T2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_pere_1_2,ft2hae1_q15p1,Has this diagnosis been confirmed by a doctor?,Sepages,T2,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,bdd_pere_1_2,ft2sac1_q02,What ethnic background do you consider yourself?,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,bdd_pere_1_2,ft2sac1_q03,What is your level of education (this is the last diploma obtained),,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,ch_bf_mr&ag_2021-12-02_5,bf_duration_till48w,number of weeks breastfed before week 48,,,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,code_helix_athlete,quest_mhelix1,Helix ident,Sepages,T1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,ddn_pere,ddn_pere,Birth date (father),,,1.0.0,,date,,,,,,,,,,,False,,,,, +Sepages,efr_mere_LMAB_20210902_26,mo_ethnie,ethnic group collected at the time of respiratory exam,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,efr_pere_LMAB_20210902_26,fa_ethnie,ethnic group collected at the time of respiratory exam,,,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPA_total_LOD_M2,M2 BPA_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPA_total_LOD_Y1,Y1 BPA_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPA_total_string_M2,"M2 BPA_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPA_total_string_Y1,"Y1 BPA_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +FARMACEUTICA,FARMACEUTICA,NUMRICETTA,Numero ricetta,,,1.0,,,,,,,,,,,,Prescription number,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPF_total_LOD_M2,M2 BPF_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPF_total_LOD_Y1,Y1 BPF_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPF_total_string_M2,"M2 BPF_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPF_total_string_Y1,"Y1 BPF_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPS_total_LOD_M2,M2 BPS_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPS_total_LOD_Y1,Y1 BPS_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPS_total_string_M2,"M2 BPS_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BPS_total_string_Y1,"Y1 BPS_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BUPA_total_LOD_M2,M2 BUPA_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BUPA_total_LOD_Y1,Y1 BUPA_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BUPA_total_string_M2,"M2 BUPA_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_BUPA_total_string_Y1,"Y1 BUPA_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ETPA_total_LOD_M2,M2 ETPA_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ETPA_total_LOD_Y1,Y1 ETPA_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ETPA_total_string_M2,"M2 ETPA_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ETPA_total_string_Y1,"Y1 ETPA_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MBzP_LOD_M2,M2 MBzP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MBzP_LOD_Y1,Y1 MBzP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MBzP_string_M2,"M2 MBzP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MBzP_string_Y1,"Y1 MBzP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +OOM,EUROCAT,omim,,,,2.2,,,,,,false,"OMIM / TYPE OF MENDELIAN INHERITANCE To be coded by medical geneticist or after advice from medical geneticist. This code is to be used for cases with single gene origin only – Refer to EUROCAT Syndrome Guide. @@ -3244,412 +4390,118 @@ This code is to be used for cases with single gene origin only – Refer to EURO The first digit may be filled in without the rest of the code if the full OMIM code is not known. Full codes can be found on the OMIM website -http://www.ncbi.nlm.nih.gov/omim/",,Table reference: EUROCAT/EUROmediCAT.,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MECPP_LOD_M2,M2 MECPP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MECPP_LOD_Y1,Y1 MECPP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MECPP_string_M2,"M2 MECPP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,quest_mt1raa1,mt1raa1_q21,What is your level of education (this is the last diploma obtained),Sepages,T1,1.0.0,,categorical,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MECPP_string_Y1,"Y1 MECPP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHHP_LOD_M2,M2 MEHHP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHHP_LOD_Y1,Y1 MEHHP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHHP_string_M2,"M2 MEHHP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHHP_string_Y1,"Y1 MEHHP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHP_LOD_M2,M2 MEHP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHP_LOD_Y1,Y1 MEHP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHP_string_M2,"M2 MEHP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHP_string_Y1,"Y1 MEHP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEOHP_LOD_M2,M2 MEOHP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEOHP_LOD_Y1,Y1 MEOHP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEOHP_string_M2,"M2 MEOHP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEOHP_string_Y1,"Y1 MEOHP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEPA_total_LOD_M2,M2 MEPA_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEPA_total_LOD_Y1,Y1 MEPA_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEPA_total_string_M2,"M2 MEPA_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEPA_total_string_Y1,"Y1 MEPA_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEP_LOD_M2,M2 MEP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEP_LOD_Y1,Y1 MEP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEP_string_M2,"M2 MEP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEP_string_Y1,"Y1 MEP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MMCHP_LOD_M2,M2 MMCHP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MMCHP_LOD_Y1,Y1 MMCHP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MMCHP_string_M2,"M2 MMCHP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MMCHP_string_Y1,"Y1 MMCHP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MiBP_LOD_M2,M2 MiBP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MiBP_LOD_Y1,Y1 MiBP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MiBP_string_M2,"M2 MiBP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MiBP_string_Y1,"Y1 MiBP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MnBP_LOD_M2,M2 MnBP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MnBP_LOD_Y1,Y1 MnBP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MnBP_string_M2,"M2 MnBP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MnBP_string_Y1,"Y1 MnBP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_OXBE_total_LOD_M2,M2 OXBE_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_OXBE_total_LOD_Y1,Y1 OXBE_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_OXBE_total_string_M2,"M2 OXBE_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_OXBE_total_string_Y1,"Y1 OXBE_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_PRPA_total_LOD_M2,M2 PRPA_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_PRPA_total_LOD_Y1,Y1 PRPA_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_PRPA_total_string_M2,"M2 PRPA_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_PRPA_total_string_Y1,"Y1 PRPA_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -ANAGRAFICA,ANAGRAFICA,MINASSISTIB,Data inizio assistibilità,,,1.0,,,,,,,,,,,,First NHS access date -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_TRCS_total_LOD_M2,M2 TRCS_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_TRCS_total_LOD_Y1,Y1 TRCS_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_TRCS_total_string_M2,"M2 TRCS_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_TRCS_total_string_Y1,"Y1 TRCS_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_cxMiNP_LOD_M2,M2 cxMiNP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_cxMiNP_LOD_Y1,Y1 cxMiNP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_cxMiNP_string_M2,"M2 cxMiNP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_cxMiNP_string_Y1,"Y1 cxMiNP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMINCH_LOD_M2,M2 ohMINCH LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMINCH_LOD_Y1,Y1 ohMINCH LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMINCH_string_M2,"M2 ohMINCH raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMINCH_string_Y1,"Y1 ohMINCH raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMPHP_LOD_M2,M2 ohMPHP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMPHP_LOD_Y1,Y1 ohMPHP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMPHP_string_M2,"M2 ohMPHP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMPHP_string_Y1,"Y1 ohMPHP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMiNP_LOD_M2,M2 ohMiNP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMiNP_LOD_Y1,Y1 ohMiNP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -ATHLETE_CDM,chemicals_ath,c_creatinine_raw_birth,Newborn Creatinine birth levels,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMiNP_string_M2,"M2 ohMiNP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMiNP_string_Y1,"Y1 ohMiNP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMINCH_LOD_M2,M2 oxoMINCH LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMINCH_LOD_Y1,Y1 oxoMINCH LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -ATHLETE_CDM,chemicals_ath,m_chrysene_raw_t1,Maternal urine Chrysene trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMINCH_string_M2,"M2 oxoMINCH raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMINCH_string_Y1,"Y1 oxoMINCH raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMiNP_LOD_M2,M2 oxoMiNP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMiNP_LOD_Y1,Y1 oxoMiNP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMiNP_string_M2,"M2 oxoMiNP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,, -Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMiNP_string_Y1,"Y1 oxoMiNP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,, -Sepages,tabac_passif_enf,child_ETS_12m,Exposure to tobacco smoke in children at 12 months,,,1.0.0,,binary,,,,,,,,,, -Sepages,tabac_passif_enf,child_ETS_36m,Exposure to tobacco smoke in children at 36 months,,,1.0.0,,binary,,,,,,,,,, -ATHLETE_CDM,chemicals_ath,c_2mpa_lod_0,limit of detection of child urine 2-MPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_2mpa_lod_birth,Limit of detection of newborn 2-MPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_2mpa_raw_0,child urine 2-MPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_2mpa_raw_birth,Newborn 2-MPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_as_lod_0,limit of detection of child As levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_as_lod_birth,Limit of detection of newborn As at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_as_raw_0,child As levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_as_raw_birth,Newborn As birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_benzoapyrene_lod_0,limit of detection of child urine benzoapyrene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_benzoapyrene_lod_birth,Limit of detection of newborn Benzo(a)pyrene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_benzoapyrene_raw_0,child urine benzoapyrene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -SALM,SALM,comorbidita_2,comorbidity 2,,,1.0,,,,,,,,,,,,"ICD9-CM code for the adult sector, ICD10 code for the childhood / adolescence sector" -ATHLETE_CDM,chemicals_ath,c_benzoapyrene_raw_birth,Newborn Benzo(a)pyrene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_boscalid_lod_0,limit of detection of child urine Boscalid levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_boscalid_lod_birth,Limit of detection of newborn Boscalid at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -OOM_CDM,EUROCAT,malfo2,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,, -ATHLETE_CDM,chemicals_ath,c_boscalid_raw_0,child urine Boscalid levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_boscalid_raw_birth,Newborn Boscalid birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_bpa_lod_0,limit of detection of child urine BPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bpa_lod_birth,Limit of detection of newborn BPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bpa_raw_0,child urine BPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bpf_lod_0,Limit of detection of child urine BPF at # years,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bpf_lod_birth,Limit of detection of newborn BPF at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bpf_raw_0,Child urine BPF levels at # years,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bpf_raw_birth,Newborn BPF birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bps_lod_0,limit of detection of child urine BPS levels within # year of age (child was aged between # and < #+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bps_lod_birth,Limit of detection of newborn BPS at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bps_raw_0,child urine BPS levels within # year of age (child was aged between # and < #+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bps_raw_birth,Newborn BPS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bupa_lod_0,limit of detection of child urine BUPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bupa_lod_birth,Limit of detection of newborn BUPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_bupa_raw_0,child urine BUPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_dmtp_raw_birth,Newborn DMTP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_bupa_raw_birth,Newborn BUPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_cd_lod_0,limit of detection of child Cd levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_cd_lod_birth,Limit of detection of newborn Cd at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_hg_raw_birth,Newborn Hg birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_cd_raw_0,child Cd levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_cd_raw_birth,Newborn Cd birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_bupa_raw_t1,Maternal urine BUPA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_chlorphyrifos_lod_0,limit of detection of child urine Chlorphyrifos levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_chlorphyrifos_lod_birth,Limit of detection of newborn Chlorphyrifos at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_chlorphyrifos_raw_0,child urine Chlorphyrifos levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_chlorphyrifos_raw_birth,Newborn Chlorphyrifos birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_chrsene_lod_0,limit of detection of child urine chrysene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_pfna_raw_birth,Newborn PFNA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_chrsene_lod_birth,Limit of detection of newborn Chrysene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_chrsene_raw_0,child urine chrysene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_chrsene_raw_birth,Newborn Chrysene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_co_lod_0,limit of detection of child Co levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_co_lod_birth,Limit of detection of newborn Co at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_co_raw_0,child Co levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_co_raw_birth,Newborn Co birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_cotinine_lod_0,limit of detection of child urine Cotinine levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,, -ATHLETE_CDM,chemicals_ath,c_cotinine_lod_birth,Limit of detection of newborn Cotinine at birth,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,, -ATHLETE_CDM,chemicals_ath,c_cotinine_raw_0,child urine Cotinine levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,, -ATHLETE_CDM,chemicals_ath,c_cotinine_raw_birth,Newborn Cotinine birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,, -ATHLETE_CDM,chemicals_ath,c_creatinine_lod_0,limit of detection of child urine Creatinine levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,g/L,,,,,,,Creatinine,, -ATHLETE_CDM,chemicals_ath,c_creatinine_lod_birth,Limit of detection of newborn Creatinine at birth,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,, -ATHLETE_CDM,chemicals_ath,c_creatinine_raw_0,child urine Creatinine levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,g/L,,,,,,,Creatinine,, -ATHLETE_CDM,chemicals_ath,c_cs_lod_0,limit of detection of child Cs levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_cs_lod_birth,Limit of detection of newborn Cs at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -FARMACEUTICA,FARMACEUTICA,NUMRICETTA,Numero ricetta,,,1.0,,,,,,,,,,,,Prescription number -ATHLETE_CDM,chemicals_ath,c_cs_raw_0,child Cs levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_cs_raw_birth,Newborn Cs birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_cu_lod_0,limit of detection of child Cu levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_cu_lod_birth,Limit of detection of newborn Cu at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_cu_raw_0,child Cu levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_cu_raw_birth,Newborn Cu birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mehhp_raw_birth,Newborn MEHHP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_cxminp_lod_0,limit of detection of child urine cxminp levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_cxminp_lod_birth,Limit of detection of newborn cxminp at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_cxminp_raw_0,child urine cxminp levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_cxminp_raw_birth,Newborn cxminp birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_dde_lod_0,limit of detection of child DDE levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_dde_lod_birth,Limit of detection of newborn DDE at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_dde_raw_0,child DDE levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_dde_raw_birth,Newborn DDE birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_ddt_lod_0,limit of detection of child DDT levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_ddt_lod_birth,Limit of detection of newborn DDT at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_ddt_raw_0,child DDT levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_ddt_raw_birth,Newborn DDT birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_dedtp_lod_0,limit of detection of child urine DEDTP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dedtp_lod_birth,Limit of detection of newborn DEDTP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dedtp_raw_0,child urine DEDTP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dedtp_raw_birth,Newborn DEDTP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_hg_raw_0,child Hg levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_dep_lod_0,limit of detection of child urine DEP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dep_lod_birth,Limit of detection of newborn DEP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dep_raw_0,child urine DEP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dep_raw_birth,Newborn DEP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_detp_lod_0,limit of detection of child urine DETP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_detp_lod_birth,Limit of detection of newborn DETP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_detp_raw_0,child urine DETP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_detp_raw_birth,Newborn DETP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dmdtp_lod_0,limit of detection of child urine DMDTP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dmdtp_lod_birth,Limit of detection of newborn DMDTP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dmdtp_raw_0,child urine DMDTP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dmdtp_raw_birth,Newborn DMDTP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dmp_lod_0,limit of detection of child urine DMP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dmp_lod_birth,Limit of detection of newborn DMP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dmp_raw_0,child urine DMP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dmp_raw_birth,Newborn DMP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dmtp_lod_0,limit of detection of child urine DMTP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dmtp_lod_birth,Limit of detection of newborn DMTP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_dmtp_raw_0,child urine DMTP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,c_eaa_lod_0,limit of detection of child urine EAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_eaa_lod_birth,Limit of detection of newborn EAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_eaa_raw_0,child urine EAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_eaa_raw_birth,Newborn EAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_eeaa_lod_0,limit of detection of child urine EEAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_eeaa_lod_birth,Limit of detection of newborn EEAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_eeaa_raw_0,child urine EEAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_eeaa_raw_birth,Newborn EEAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_etpa_lod_0,limit of detection of child urine ETPA levels within # year of age (child was aged between # and < #+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_etpa_lod_birth,Limit of detection of newborn ETPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_cd_lod_birth,Limit of detection of maternal Cd at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_etpa_raw_0,child urine ETPA levels within # year of age (child was aged between # and < #+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -AP,AP,iduni,,,,1.0,,,,,,,,,,,, -ATHLETE_CDM,chemicals_ath,c_fluorene_lod_0,limit of detection of child urine Fluorene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_fluorene_lod_birth,Limit of detection of newborn Fluorene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_fluorene_raw_0,child urine Fluorene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_fluorene_raw_birth,Newborn Fluorene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_hcb_lod_0,limit of detection of child HCB levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_hcb_lod_birth,Limit of detection of newborn HCB at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_hcb_raw_0,child HCB levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_hcb_raw_birth,Newborn HCB birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_hch_lod_0,limit of detection of child HCH levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_hch_lod_birth,Limit of detection of newborn HCH at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_hch_raw_0,child HCH levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_hch_raw_birth,Newborn HCH birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_hg_lod_0,limit of detection of child Hg levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_hg_lod_birth,Limit of detection of newborn Hg at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_na_lod_birth,Limit of detection of newborn Na at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mchp_raw_0,child urine MCHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_imazalil_lod_0,limit of detection of child urine Imazalil levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_imazalil_lod_birth,Limit of detection of newborn Imazalil at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_imazalil_raw_0,child urine Imazalil levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_imazalil_raw_birth,Newborn Imazalil birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_k_lod_0,limit of detection of child K levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_k_lod_birth,Limit of detection of newborn K at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_dde_raw_birth,Maternal DDE birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_k_raw_0,child K levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_k_raw_birth,Newborn K birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_maa_lod_0,limit of detection of child urine MAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_maa_lod_birth,Limit of detection of newborn MAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_maa_raw_0,child urine MAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_maa_raw_birth,Newborn MAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_mbzp_lod_0,limit of detection of child urine MBzP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mbzp_lod_birth,Limit of detection of newborn MBzP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mbzp_raw_0,child urine MBzP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mbzp_raw_birth,Newborn MBzP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mchp_lod_0,limit of detection of child urine MCHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mchp_lod_birth,Limit of detection of newborn MCHP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mchp_raw_birth,Newborn MCHP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_meaa_lod_0,limit of detection of child urine MEAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_meaa_lod_birth,Limit of detection of newborn MEAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -OOM_CDM,CDM_SOURCE,date_creation,,,,2.2,,datetime,,,,true,date when this CDM instance is populated,,"20200704,20210124",,, -ATHLETE_CDM,chemicals_ath,c_meaa_raw_0,child urine MEAA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_meaa_raw_birth,Newborn MEAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_mecpp_lod_0,limit of detection of child urine MECPP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mecpp_lod_birth,Limit of detection of newborn MECPP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mecpp_raw_0,child urine MECPP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mecpp_raw_birth,Newborn MECPP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mehhp_lod_0,limit of detection of child urine MEHHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mehhp_lod_birth,Limit of detection of newborn MEHHP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mehhp_raw_0,child urine MEHHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mehp_lod_0,limit of detection of child urine MEHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mehp_lod_birth,Limit of detection of newborn MEHP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mehp_raw_0,child urine MEHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mehp_raw_birth,Newborn MEHP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_meohp_lod_0,limit of detection of child urine MEOHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_meohp_lod_birth,Limit of detection of newborn MEOHP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_meohp_raw_0,child urine MEOHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_meohp_raw_birth,Newborn MEOHP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mep_lod_0,limit of detection of child urine MEP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mep_lod_birth,Limit of detection of newborn MEP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mep_raw_0,child urine MEP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mep_raw_birth,Newborn MEP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mepa_lod_0,limit of detection of child urine ETPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_mepa_lod_birth,Limit of detection of newborn MEPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_mepa_raw_0,child urine ETPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_mepa_raw_birth,Newborn MEPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_mg_lod_0,limit of detection of child Mg levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mg_lod_birth,Limit of detection of newborn Mg at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mg_raw_0,child Mg levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mg_raw_birth,Newborn Mg birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mhpp_lod_0,limit of detection of child urine mHpP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mhpp_lod_birth,Limit of detection of newborn mHpP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mhpp_raw_0,child urine mHpP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mhpp_raw_birth,Newborn mHpP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mn_raw_0,child Mn levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mhxp_lod_0,limit of detection of child urine mHxP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mhxp_lod_birth,Limit of detection of newborn mHxP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mhxp_raw_0,child urine mHxP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mhxp_raw_birth,Newborn mHxP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mibp_lod_0,limit of detection of child urine MiBP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mibp_lod_birth,Limit of detection of newborn MiBP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mibp_raw_0,child urine MiBP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mibp_raw_birth,Newborn MiBP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mmchp_lod_0,limit of detection of child urine MMCHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mmchp_lod_birth,Limit of detection of newborn MMCHP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mmchp_raw_0,child urine MMCHP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mmchp_raw_birth,Newborn MMCHP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -MBRN,MBRN,NAVLESNORLENGDE,Length of the umbilical cord,,,1.0,,,,,,,HCP,,,,,Centimeter -ATHLETE_CDM,chemicals_ath,c_mmp_lod_0,limit of detection of child urine mMP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mmp_lod_birth,Limit of detection of newborn mMP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mmp_raw_0,child urine mMP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mmp_raw_birth,Newborn mMP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mn_lod_0,limit of detection of child Mn levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mn_lod_birth,Limit of detection of newborn Mn at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mn_raw_birth,Newborn Mn birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mnbp_lod_0,limit of detection of child urine MnBP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mnbp_lod_birth,Limit of detection of newborn MnBP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mnbp_raw_0,child urine MnBP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mnbp_raw_birth,Newborn MnBP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mnop_lod_0,limit of detection of child urine MnOP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mnop_lod_birth,Limit of detection of newborn MnOP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mnop_raw_0,child urine MnOP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mnop_raw_birth,Newborn MnOP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mnpep_lod_0,limit of detection of child urine MnPeP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mnpep_lod_birth,Limit of detection of newborn MnPeP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mnpep_raw_0,child urine MnPeP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mnpep_raw_birth,Newborn MnPeP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_mo_lod_0,limit of detection of child Mo levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mo_lod_birth,Limit of detection of newborn Mo at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mo_raw_0,child Mo levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_mo_raw_birth,Newborn Mo birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_pfda_raw_birth,Newborn PFDA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_na_lod_0,limit of detection of child Na levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_na_raw_0,child Na levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_na_raw_birth,Newborn Na birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_naphthalene_lod_birth,Limit of detection of newborn Naphthalene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_naphthalene_raw_birth,Newborn Naphthalene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_napthalene_lod_0,limit of detection of child urine Napthalene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_napthalene_raw_0,child urine Napthalene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_ohminch_lod_0,limit of detection of child urine ohminch levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_ohminch_lod_birth,Limit of detection of newborn ohminch at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_pb_lod_birth,Limit of detection of newborn Pb at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_ohminch_raw_0,child urine ohminch levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_ohminch_raw_birth,Newborn ohminch birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_ohminp_lod_0,limit of detection of child urine ohminp levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_ohminp_lod_birth,Limit of detection of newborn ohminp at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_ohminp_raw_0,child urine ohminp levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_ohminp_raw_birth,Newborn ohminp birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_ohmphp_lod_0,limit of detection of child urine ohmphp levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_ohmphp_lod_birth,Limit of detection of newborn ohmphp at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_ohmphp_raw_0,child urine ohmphp levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_ohmphp_raw_birth,Newborn ohmphp birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_oxbe_lod_0,limit of detection of child urine OXBE levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_oxbe_lod_birth,Limit of detection of newborn OXBE at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_pfda_lod_birth,Limit of detection of newborn PFDA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_oxbe_raw_0,child urine OXBE levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_oxbe_raw_birth,Newborn OXBE birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -OOM_CDM,CDM_SOURCE,etl_link,,,,2.2,,character,,,,false,link to a source where the current version of the ETL document of this datasurce can be found,,,,, -ATHLETE_CDM,chemicals_ath,c_oxominch_lod_0,limit of detection of child urine oxominch levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_oxominch_lod_birth,Limit of detection of newborn oxominch at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_oxominch_raw_0,child urine oxominch levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_oxominch_raw_birth,Newborn oxominch birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_oxominp_lod_0,limit of detection of child urine oxo-MiNP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_oxominp_lod_birth,Limit of detection of newborn oxoMiNP at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_oxominp_raw_0,child urine oxo-MiNP levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_oxominp_raw_birth,Newborn oxoMiNP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,c_pb_lod_0,limit of detection of child Pb levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_pb_raw_0,child Pb levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_pb_raw_birth,Newborn Pb birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_pbde153_lod_0,limit of detection of child PBDE-153 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pbde153_lod_birth,Limit of detection of newborn PBDE-153 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -OOM_CDM,EUROCAT,orpha,,,,2.2,,,,,,false,"This code is to be used for rare diseases including congenital anomalies, chromosomal, teratogenic and genetic syndromes. +http://www.ncbi.nlm.nih.gov/omim/",,Table reference: EUROCAT/EUROmediCAT.,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MECPP_LOD_M2,M2 MECPP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MECPP_LOD_Y1,Y1 MECPP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +OOM,EUROCAT,premal3,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION +AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally +2 = No,this anomaly was diagnosed postnatally +3 = This anomaly partially prenatally diagnosed +9 =Not known,Table reference: EUROCAT AS PRESYN",,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MECPP_string_M2,"M2 MECPP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,quest_mt1raa1,mt1raa1_q21,What is your level of education (this is the last diploma obtained),Sepages,T1,1.0.0,,categorical,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MECPP_string_Y1,"Y1 MECPP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHHP_LOD_M2,M2 MEHHP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHHP_LOD_Y1,Y1 MEHHP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHHP_string_M2,"M2 MEHHP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHHP_string_Y1,"Y1 MEHHP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHP_LOD_M2,M2 MEHP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHP_LOD_Y1,Y1 MEHP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHP_string_M2,"M2 MEHP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEHP_string_Y1,"Y1 MEHP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEOHP_LOD_M2,M2 MEOHP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEOHP_LOD_Y1,Y1 MEOHP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEOHP_string_M2,"M2 MEOHP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEOHP_string_Y1,"Y1 MEOHP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEPA_total_LOD_M2,M2 MEPA_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEPA_total_LOD_Y1,Y1 MEPA_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEPA_total_string_M2,"M2 MEPA_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEPA_total_string_Y1,"Y1 MEPA_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEP_LOD_M2,M2 MEP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEP_LOD_Y1,Y1 MEP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEP_string_M2,"M2 MEP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MEP_string_Y1,"Y1 MEP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MMCHP_LOD_M2,M2 MMCHP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MMCHP_LOD_Y1,Y1 MMCHP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MMCHP_string_M2,"M2 MMCHP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MMCHP_string_Y1,"Y1 MMCHP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MiBP_LOD_M2,M2 MiBP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MiBP_LOD_Y1,Y1 MiBP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MiBP_string_M2,"M2 MiBP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MiBP_string_Y1,"Y1 MiBP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MnBP_LOD_M2,M2 MnBP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MnBP_LOD_Y1,Y1 MnBP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MnBP_string_M2,"M2 MnBP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_MnBP_string_Y1,"Y1 MnBP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_OXBE_total_LOD_M2,M2 OXBE_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_OXBE_total_LOD_Y1,Y1 OXBE_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_OXBE_total_string_M2,"M2 OXBE_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_OXBE_total_string_Y1,"Y1 OXBE_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_PRPA_total_LOD_M2,M2 PRPA_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_PRPA_total_LOD_Y1,Y1 PRPA_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_PRPA_total_string_M2,"M2 PRPA_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_PRPA_total_string_Y1,"Y1 PRPA_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +ANAGRAFICA,ANAGRAFICA,MINASSISTIB,Data inizio assistibilità,,,1.0,,,,,,,,,,,,First NHS access date,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_TRCS_total_LOD_M2,M2 TRCS_total LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_TRCS_total_LOD_Y1,Y1 TRCS_total LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +OOM,EUROCAT,premal4,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION +AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally +2 = No,this anomaly was diagnosed postnatally +3 = This anomaly partially prenatally diagnosed +9 =Not known,Table reference: EUROCAT AS PRESYN",,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_TRCS_total_string_M2,"M2 TRCS_total raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_TRCS_total_string_Y1,"Y1 TRCS_total raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_cxMiNP_LOD_M2,M2 cxMiNP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_cxMiNP_LOD_Y1,Y1 cxMiNP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_cxMiNP_string_M2,"M2 cxMiNP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_cxMiNP_string_Y1,"Y1 cxMiNP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMINCH_LOD_M2,M2 ohMINCH LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMINCH_LOD_Y1,Y1 ohMINCH LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMINCH_string_M2,"M2 ohMINCH raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMINCH_string_Y1,"Y1 ohMINCH raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMPHP_LOD_M2,M2 ohMPHP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMPHP_LOD_Y1,Y1 ohMPHP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMPHP_string_M2,"M2 ohMPHP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMPHP_string_Y1,"Y1 ohMPHP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMiNP_LOD_M2,M2 ohMiNP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMiNP_LOD_Y1,Y1 ohMiNP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMiNP_string_M2,"M2 ohMiNP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_ohMiNP_string_Y1,"Y1 ohMiNP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMINCH_LOD_M2,M2 oxoMINCH LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMINCH_LOD_Y1,Y1 oxoMINCH LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMINCH_string_M2,"M2 oxoMINCH raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +OOM,EUROCAT,premal5,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION +AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally +2 = No,this anomaly was diagnosed postnatally +3 = This anomaly partially prenatally diagnosed +9 =Not known,Table reference: EUROCAT AS PRESYN",,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMINCH_string_Y1,"Y1 oxoMINCH raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMiNP_LOD_M2,M2 oxoMiNP LOD,Sepages,Y1,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMiNP_LOD_Y1,Y1 oxoMiNP LOD,Sepages,Y2,1.0.0,,integer,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMiNP_string_M2,"M2 oxoMiNP raw vals (no imp, no std)",Sepages,Y1,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,phenols_phthalates_infancy_mr_585_2021-12-02,ch_oxoMiNP_string_Y1,"Y1 oxoMiNP raw vals (no imp, no std)",Sepages,Y2,1.0.0,,string,,,,,,,,,,,False,,,,, +Sepages,tabac_passif_enf,child_ETS_12m,Exposure to tobacco smoke in children at 12 months,,,1.0.0,,binary,,,,,,,,,,,False,,,,, +Sepages,tabac_passif_enf,child_ETS_36m,Exposure to tobacco smoke in children at 36 months,,,1.0.0,,binary,,,,,,,,,,,False,,,,, +SALM,SALM,comorbidita_2,comorbidity 2,,,1.0,,,,,,,,,,,,"ICD9-CM code for the adult sector, ICD10 code for the childhood / adolescence sector",False,,,,, +OOM,EUROCAT,malfo2,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,,,False,,,,, +OOM,EUROCAT,premal6,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION +AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally +2 = No,this anomaly was diagnosed postnatally +3 = This anomaly partially prenatally diagnosed +9 =Not known,Table reference: EUROCAT AS PRESYN",,,,False,,,,, +AP,AP,iduni,,,,1.0,,,,,,,,,,,,,False,,,,, +MBRN,MBRN,APGAR1_MANGLER,Apgar score after 1 minute is missing,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +OOM,CDM_SOURCE,date_creation,,,,2.2,,datetime,,,,true,date when this CDM instance is populated,,"20200704,20210124",,,,False,,,,, +MBRN,MBRN,NAVLESNORLENGDE,Length of the umbilical cord,,,1.0,,,,,,,HCP,,,,,Centimeter,False,,,,, +MBRN,MBRN,APGAR5,Apgar score after 5 minutes,,,1.0,,,,,,,,,,,,0 – 10,False,,,,, +OOM,CDM_SOURCE,etl_link,,,,2.2,,character,,,,false,link to a source where the current version of the ETL document of this datasurce can be found,,,,,,False,,,,, +OOM,EUROCAT,orpha,,,,2.2,,,,,,false,"This code is to be used for rare diseases including congenital anomalies, chromosomal, teratogenic and genetic syndromes. Use the link and enter the name of the condition. if more than one code/disease appears, select the most specific orpha code. If you do not have specific information about genetic background or phenotype, select the most general orpha code. -https://www.orpha.net/consor/cgi-bin/Disease.php?lng=EN",,Table reference: EUROCAT,,, -ATHLETE_CDM,chemicals_ath,c_pbde153_raw_0,child PBDE-153 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pbde153_raw_birth,Newborn PBDE-153 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pbde47_lod_0,limit of detection of child PBDE-47 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pbde47_lod_birth,Limit of detection of newborn PBDE-47 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pbde47_raw_0,child PBDE-47 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pbde47_raw_birth,Newborn PBDE-47 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pfda_raw_0,child PFDA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pcb118_lod_0,limit of detection of child PCB-118 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb118_lod_birth,Limit of detection of newborn PCB-118 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb118_raw_0,child PCB-118 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ARS_PS,PS,data_inizio_trattamento,treatment start date,,,1.0,,,,,,,,,,,, -ATHLETE_CDM,chemicals_ath,c_pcb118_raw_birth,Newborn PCB-118 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb138_lod_0,limit of detection of child PCB-138 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb138_lod_birth,Limit of detection of newborn PCB-138 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb138_raw_0,child PCB-138 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb138_raw_birth,Newborn PCB-138 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb153_lod_0,limit of detection of child PCB-153 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb153_lod_birth,Limit of detection of newborn PCB-153 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb153_raw_0,child PCB-153 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb153_raw_birth,Newborn PCB-153 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_hch_raw_birth,Maternal HCH birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -OOM_CDM,EUROCAT,sib2,,,,2.2,,,,,,false,AS SIB1,,Table reference: EUROCAT/EUROmediCAT. Local ID,,, -ATHLETE_CDM,chemicals_ath,c_pcb170_lod_0,limit of detection of child PCB-170 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb170_lod_birth,Limit of detection of newborn PCB-170 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb170_raw_0,child PCB-170 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb170_raw_birth,Newborn PCB-170 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb180_lod_0,limit of detection of child PCB-180 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb180_lod_birth,Limit of detection of newborn PCB-180 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb180_raw_0,child PCB-180 levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pcb180_raw_birth,Newborn PCB-180 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,c_pfda_lod_0,limit of detection of child PFDA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfhps_lod_0,limit of detection of child PFHpS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfhps_lod_birth,Limit of detection of newborn PFHpS at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfhps_raw_0,child PFHpS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfhps_raw_birth,Newborn PFHpS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfhxs_lod_0,limit of detection of child PFHxS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfhxs_lod_birth,Limit of detection of newborn PFHxS at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,outcome_ath,adhdR_wave_1,,,,,,integer,,,,,Which wave of ADHD diagnosis was recorded?,,,ADHD Registry diagnosis,, -ATHLETE_CDM,chemicals_ath,c_pfhxs_raw_0,child PFHxS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfhxs_raw_birth,Newborn PFHxS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfna_lod_0,limit of detection of child PFNA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfna_lod_birth,Limit of detection of newborn PFNA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfna_raw_0,child PFNA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfoa_lod_0,limit of detection of child PFOA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfoa_lod_birth,Limit of detection of newborn PFOA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfoa_raw_0,child PFOA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfoa_raw_birth,Newborn PFOA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfos_lod_0,limit of detection of child PFOS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfos_lod_birth,Limit of detection of newborn PFOS at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfos_raw_0,child PFOS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfos_raw_birth,Newborn PFOS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfunda_lod_0,limit of detection of child PFUnDA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfunda_lod_birth,Limit of detection of newborn PFUnDA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pfunda_raw_0,child PFUnDA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -OOM_CDM,EUROCAT,malfo1,,,,2.2,,,,,,true,"MALFORMATION +https://www.orpha.net/consor/cgi-bin/Disease.php?lng=EN",,Table reference: EUROCAT,,,,False,,,,, +ARS_PS,PS,data_inizio_trattamento,treatment start date,,,1.0,,,,,,,,,,,,,False,,,,, +OOM,EUROCAT,sib2,,,,2.2,,,,,,false,AS SIB1,,Table reference: EUROCAT/EUROmediCAT. Local ID,,,,False,,,,, +OOM,EUROCAT,malfo1,,,,2.2,,,,,,true,"MALFORMATION A baby/fetus with ONLY minor anomalies (see exclusion list, chapter 7) should not be transmitted to Central Registry. When a major anomaly is present, code both major and minor anomalies. @@ -3663,212 +4515,22 @@ Include in the 8 specified codes the most important ones, or those tabulated in Give written description of the malformations available in malformation text variables 33, 35, 37, 39, 41, 43, 45 and 47.",,"Table reference: EUROCAT/EUROmediCAT. ICD 10 First 4 digits are ICD 5th digit = BPA classification OR -leave blank",,, -ATHLETE_CDM,chemicals_ath,c_pfunda_raw_birth,Newborn PFUnDA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,c_pyrethroids_lod_birth,Limit of detection of newborn Pyrethroids at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_phenanthrene_lod_0,limit of detection of child urine Phenanthrene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_phenanthrene_lod_birth,Limit of detection of newborn Phenanthrene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_phenanthrene_raw_0,child urine Phenanthrene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_phenanthrene_raw_birth,Newborn Phenanthrene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_phenoxyacetic_acid_lod_0,limit of detection of child urine Phenoxyacetic acid levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_phenoxyacetic_acid_lod_birth,Limit of detection of newborn Phenoxyacetic acid at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_phenoxyacetic_acid_raw_0,child urine Phenoxyacetic acid levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_phenoxyacetic_acid_raw_birth,Newborn Phenoxyacetic acid birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,c_prpa_lod_0,limit of detection of child urine PRPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_zn_raw_t1,Maternal Zn trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_prpa_lod_birth,Limit of detection of newborn PRPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_prpa_raw_0,child urine PRPA levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_prpa_raw_birth,Newborn PRPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_pyrene_lod_0,limit of detection of child urine Pyrene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_pyrene_lod_birth,Limit of detection of newborn Pyrene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_pyrene_raw_0,child urine Pyrene levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_pyrene_raw_birth,Newborn Pyrene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,c_pyrethroids_lod_0,limit of detection of child urine Pyrethroids levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,outcome_ath,adhd_wave_1,,,,,,integer,,,,,Which wave of adhd scale measurement was recorded?,,,ADHD symptoms,, -ATHLETE_CDM,chemicals_ath,c_pyrethroids_raw_0,child urine Pyrethroids levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ANAGRAFICA,ANAGRAFICA,MOTIVO,Motivazione fine assistibilità,,,1.0,,,,,,,,,,,,Decesso o trasferimento i.e. death or transfer out of catchment area -ATHLETE_CDM,chemicals_ath,c_pyrethroids_raw_birth,Newborn Pyrethroids birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,c_se_lod_0,limit of detection of child Se levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_se_lod_birth,Limit of detection of newborn Se at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_se_raw_0,child Se levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_se_raw_birth,Newborn Se birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_tl_lod_0,limit of detection of child Tl levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_tl_lod_birth,Limit of detection of newborn Tl at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_tl_raw_0,child Tl levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_tl_raw_birth,Newborn Tl birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_trcs_lod_0,limit of detection of child urine TRCS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_trcs_lod_birth,Limit of detection of newborn TRCS at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_trcs_raw_0,child urine TRCS levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_trcs_raw_birth,Newborn TRCS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,c_zn_lod_0,limit of detection of child Zn levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_zn_lod_birth,Limit of detection of newborn Zn at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_zn_raw_0,child Zn levels within # year of age (child was aged between # and <#+1 year),,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,c_zn_raw_birth,Newborn Zn birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,cohort,Helix Cohort,,,1.1.0,,text,,,,,,,,Cohort id,, -ATHLETE_CDM,chemicals_ath,m_2mpa_lod_birth,Limit of detection of maternal 2_MPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_2mpa_lod_precon,Limit of detection of maternal 2_MPA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_2mpa_lod_preg,Limit of detection of maternal urine 2_MPA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_2mpa_lod_t1,Limit of detection of maternal urine 2_MPA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_2mpa_raw_birth,Maternal 2_MPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_2mpa_raw_precon,Maternal 2_MPA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_2mpa_raw_preg,Maternal urine 2_MPA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_2mpa_raw_t1,Maternal urine 2_MPA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_as_lod_birth,Limit of detection of maternal As at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_as_lod_precon,Limit of detection of maternal As at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_as_lod_t1,Limit of detection of maternal As in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,outcome_ath,fetus_head_circum_t2,Circumference of the head of the fetus in 2nd trimester,,,,,decimal,cm,,,,,,,,, -ATHLETE_CDM,chemicals_ath,m_as_raw_birth,Maternal As birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_as_raw_precon,Maternal As preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_as_raw_t1,Maternal As trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_benzoapyrene_lod_birth,Limit of detection of maternal Benzo(a)pyrene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_benzoapyrene_lod_precon,Limit of detection of maternal Benzo(a)pyrene at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_benzoapyrene_lod_preg,Limit of detection of maternal urine Benzo(a)pyrene at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_benzoapyrene_lod_t1,Limit of detection of maternal urine Benzo(a)pyrene in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_benzoapyrene_raw_birth,Maternal Benzo(a)pyrene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_benzoapyrene_raw_precon,Maternal Benzo(a)pyrene preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_benzoapyrene_raw_preg,Maternal urine Benzo(a)pyrene pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -AP,AP,macroscopia,macroscopic description of the piece,,,1.0,,,,,,,"it contains, if existing, a description of the macroscopic evaluation of the piece, concerning the size of the lesion, the fact that it is cystic or solid, red or white, etc.",,,,, -ATHLETE_CDM,chemicals_ath,m_benzoapyrene_raw_t1,Maternal urine Benzo(a)pyrene trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_boscalid_lod_birth,Limit of detection of maternal Boscalid at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_boscalid_lod_precon,Limit of detection of maternal Boscalid at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_boscalid_lod_preg,Limit of detection of maternal urine Boscalid at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_boscalid_lod_t1,Limit of detection of maternal urine Boscalid in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_boscalid_raw_birth,Maternal Boscalid birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_boscalid_raw_precon,Maternal Boscalid preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_boscalid_raw_preg,Maternal urine Boscalid pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_boscalid_raw_t1,Maternal urine Boscalid trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_cs_raw_birth,Maternal Cs birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_bpa_lod_birth,Limit of detection of maternal BPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpa_lod_precon,Limit of detection of maternal BPA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpa_lod_preg,Limit of detection of maternal urine BPA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpa_lod_t1,Limit of detection of maternal urine BPA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpa_raw_birth,Maternal BPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpa_raw_precon,Maternal BPA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpa_raw_preg,Maternal urine BPA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpa_raw_t1,Maternal urine BPA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpf_lod_birth,Limit of detection of maternal BPF at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpf_lod_precon,Limit of detection of maternal BPF at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpf_lod_preg,Limit of detection of maternal urine BPF at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpf_lod_t1,Limit of detection of maternal urine BPF in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpf_raw_birth,Maternal BPF birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpf_raw_precon,Maternal BPF preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpf_raw_preg,Maternal urine BPF pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bpf_raw_t1,Maternal urine BPF trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bps_lod_birth,Limit of detection of maternal BPS at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bps_lod_precon,Limit of detection of maternal BPS at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bps_lod_preg,Limit of detection of maternal urine BPS at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bps_lod_t1,Limit of detection of maternal urine BPS in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bps_raw_birth,Maternal BPS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bps_raw_precon,Maternal BPS preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bps_raw_preg,Maternal urine BPS pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bps_raw_t1,Maternal urine BPS trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bupa_lod_birth,Limit of detection of maternal BUPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bupa_lod_precon,Limit of detection of maternal BUPA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bupa_lod_preg,Limit of detection of maternal urine BUPA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bupa_lod_t1,Limit of detection of maternal urine BUPA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bupa_raw_birth,Maternal BUPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bupa_raw_precon,Maternal BUPA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_bupa_raw_preg,Maternal urine BUPA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_cd_lod_precon,Limit of detection of maternal Cd at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, +leave blank",,,,False,,,,, +ANAGRAFICA,ANAGRAFICA,MOTIVO,Motivazione fine assistibilità,,,1.0,,,,,,,,,,,,Decesso o trasferimento i.e. death or transfer out of catchment area,False,,,,, +AP,AP,macroscopia,macroscopic description of the piece,,,1.0,,,,,,,"it contains, if existing, a description of the macroscopic evaluation of the piece, concerning the size of the lesion, the fact that it is cystic or solid, red or white, etc.",,,,,,False,,,,, ARS_PS,PS,diagnosi_princ,main diagnosis code,,,1.0,,,,,,,reports the most important diagnosis code for clinical severity and resource commitment.,,,,,"From the DIAGNOSIS table Codes ICD9CM2002 until 2008 from 1 January 2009 ICD9CM2007 codes - for decoding refer to tables U_COD_ICD9CM02 and U_COD_ICD9CM_07" -ATHLETE_CDM,chemicals_ath,m_cd_lod_t1,Limit of detection of maternal Cd in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cd_raw_birth,Maternal Cd birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cd_raw_precon,Maternal Cd preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cd_raw_t1,Maternal Cd trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_lod_birth,Limit of detection of maternal Chlorphyrifos at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_lod_precon,Limit of detection of maternal Chlorphyrifos at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_lod_preg,Limit of detection of maternal urine Chlorphyrifos at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_lod_t1,Limit of detection of maternal urine Chlorphyrifos in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_raw_birth,Maternal Chlorphyrifos birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_raw_precon,Maternal Chlorphyrifos preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_raw_preg,Maternal urine Chlorphyrifos pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_chlorphyrifos_raw_t1,Maternal urine Chlorphyrifos trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -DIAGNOSTIC,DIAGNOSTIC,ALD,Chronic disease code,,,1.0,,,,,,,,,,,,See table Thesaurus (Vocabulaire TYP_ALD) -ATHLETE_CDM,chemicals_ath,m_chrysene_lod_birth,Limit of detection of maternal Chrysene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_chrysene_lod_precon,Limit of detection of maternal Chrysene at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_chrysene_lod_preg,Limit of detection of maternal urine Chrysene at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_chrysene_lod_t1,Limit of detection of maternal urine Chrysene in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_chrysene_raw_birth,Maternal Chrysene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_chrysene_raw_precon,Maternal Chrysene preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_chrysene_raw_preg,Maternal urine Chrysene pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_co_lod_birth,Limit of detection of maternal Co at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_co_lod_precon,Limit of detection of maternal Co at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_co_lod_t1,Limit of detection of maternal Co in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_co_raw_birth,Maternal Co birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_co_raw_precon,Maternal Co preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_co_raw_t1,Maternal Co trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, + for decoding refer to tables U_COD_ICD9CM02 and U_COD_ICD9CM_07",False,,,,, +DIAGNOSTIC,DIAGNOSTIC,ALD,Chronic disease code,,,1.0,,,,,,,,,,,,See table Thesaurus (Vocabulaire TYP_ALD),False,,,,, ARS_PS,PS,iduni,universal patient ID,,,1.0,,,,,,,,,,,,"From PRESTAZIONE/PRONTOSOCC TABLE table - universal patient ID" -ATHLETE_CDM,chemicals_ath,m_cotinine_lod_birth,Limit of detection of maternal Cotinine at birth,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,, -ATHLETE_CDM,chemicals_ath,m_cotinine_lod_precon,Limit of detection of maternal Cotinine at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,, -ATHLETE_CDM,chemicals_ath,m_cotinine_lod_preg,Limit of detection of maternal urine Cotinine at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,, -ATHLETE_CDM,chemicals_ath,m_cotinine_lod_t1,Limit of detection of maternal urine Cotinine in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,, -ATHLETE_CDM,chemicals_ath,m_cotinine_raw_birth,Maternal Cotinine birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,, -ATHLETE_CDM,chemicals_ath,m_cotinine_raw_precon,Maternal Cotinine preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,, -ATHLETE_CDM,chemicals_ath,m_cotinine_raw_preg,Maternal urine Cotinine pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,, -ATHLETE_CDM,chemicals_ath,m_cotinine_raw_t1,Maternal urine Cotinine trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Cotinine,, -ATHLETE_CDM,chemicals_ath,m_creatinine_lod_birth,Limit of detection of maternal Creatinine at birth,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,, -ATHLETE_CDM,chemicals_ath,m_creatinine_lod_precon,Limit of detection of maternal Creatinine at preconception,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,, -ATHLETE_CDM,chemicals_ath,m_creatinine_lod_preg,Limit of detection of maternal urine Creatinine at pregnancy,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,, -ATHLETE_CDM,chemicals_ath,m_creatinine_lod_t1,Limit of detection of maternal urine Creatinine in trimester,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,, -ATHLETE_CDM,chemicals_ath,m_creatinine_raw_birth,Maternal Creatinine birth levels,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,, -ATHLETE_CDM,chemicals_ath,m_creatinine_raw_precon,Maternal Creatinine preconception levels,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,, -ATHLETE_CDM,chemicals_ath,m_creatinine_raw_preg,Maternal urine Creatinine pregnancy levels,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,, -ATHLETE_CDM,chemicals_ath,m_creatinine_raw_t1,Maternal urine Creatinine trimester levels,,,1.1.0,,decimal,g/L,,,,,,,Creatinine,, -ATHLETE_CDM,chemicals_ath,m_cs_lod_birth,Limit of detection of maternal Cs at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cs_lod_precon,Limit of detection of maternal Cs at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cs_lod_t1,Limit of detection of maternal Cs in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cs_raw_precon,Maternal Cs preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cs_raw_t1,Maternal Cs trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cu_lod_birth,Limit of detection of maternal Cu at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,outcome_ath,fetus_weight_t2,Estimated weight of the fetus in 2nd trimester,,,,,integer,gram,,,,,,,,, -ATHLETE_CDM,chemicals_ath,m_cu_lod_precon,Limit of detection of maternal Cu at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cu_lod_t1,Limit of detection of maternal Cu in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cu_raw_birth,Maternal Cu birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cu_raw_precon,Maternal Cu preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cu_raw_t1,Maternal Cu trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_cxminp_lod_birth,Limit of detection of maternal cx_MiNP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_cxminp_lod_precon,Limit of detection of maternal cx_MiNP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_cxminp_lod_preg,Limit of detection of maternal urine cx_MiNP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_cxminp_lod_t1,Limit of detection of maternal urine cx_MiNP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_cxminp_raw_birth,Maternal cx_MiNP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_cxminp_raw_precon,Maternal cx_MiNP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_cxminp_raw_preg,Maternal urine cx_MiNP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_cxminp_raw_t1,Maternal urine cx_MiNP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_dde_lod_birth,Limit of detection of maternal DDE at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_dde_lod_precon,Limit of detection of maternal DDE at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_dde_lod_t1,Limit of detection of maternal DDE in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_dde_raw_precon,Maternal DDE preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_dde_raw_t1,Maternal DDE trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_ddt_lod_birth,Limit of detection of maternal DDT at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_ddt_lod_precon,Limit of detection of maternal DDT at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_ddt_lod_t1,Limit of detection of maternal DDT in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_ddt_raw_birth,Maternal DDT birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_ddt_raw_precon,Maternal DDT preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_ddt_raw_t1,Maternal DDT trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_dedtp_lod_birth,Limit of detection of maternal DEDTP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dedtp_lod_precon,Limit of detection of maternal DEDTP at preconception,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dedtp_lod_preg,Limit of detection of maternal urine DEDTP at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dedtp_lod_t1,Limit of detection of maternal urine DEDTP in trimester,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dedtp_raw_birth,Maternal DEDTP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dedtp_raw_precon,Maternal DEDTP preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dedtp_raw_preg,Maternal urine DEDTP pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dedtp_raw_t1,Maternal urine DEDTP trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dep_lod_birth,Limit of detection of maternal DEP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dep_lod_precon,Limit of detection of maternal DEP at preconception,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dep_lod_preg,Limit of detection of maternal urine DEP at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dep_lod_t1,Limit of detection of maternal urine DEP in trimester,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dep_raw_birth,Maternal DEP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dep_raw_precon,Maternal DEP preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dep_raw_preg,Maternal urine DEP pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dep_raw_t1,Maternal urine DEP trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_detp_lod_birth,Limit of detection of maternal DETP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_detp_lod_precon,Limit of detection of maternal DETP at preconception,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_detp_lod_preg,Limit of detection of maternal urine DETP at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -OOM_CDM,EUROCAT,illdur1,,,,2.2,,,,,,false,"ILLNESS DURING PREGNANCY + universal patient ID",False,,,,, +OOM,EUROCAT,premal7,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION +AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally +2 = No,this anomaly was diagnosed postnatally +3 = This anomaly partially prenatally diagnosed +9 =Not known,Table reference: EUROCAT AS PRESYN",,,,False,,,,, +OOM,EUROCAT,illdur1,,,,2.2,,,,,,false,"ILLNESS DURING PREGNANCY Record illnesses with chronic or acute onset during the first 20 weeks of pregnancy including asymptomatic maternal infections. For gestational diabetes include at any point in pregnancy For early pregnancy complications use the O chapter in ICD10. For maternal infections, use chapters A and B. (4 digits). Fetal infections and associated malformations should be coded under syndrome and malformation 1-8 codes (variable 30-47). Do not insert the decimal point in the code (eg. Code B34.1 as B341) @@ -3891,483 +4553,40 @@ Zika virus A928 Drug poisoning T360-T509",,"Table reference: EUROCAT/EUROmediCAT. ICD 10 0 = No 1 = Yes,but no information available -9 = Not known",,, -ATHLETE_CDM,chemicals_ath,m_detp_lod_t1,Limit of detection of maternal urine DETP in trimester,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_detp_raw_birth,Maternal DETP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_detp_raw_precon,Maternal DETP preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_detp_raw_preg,Maternal urine DETP pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_detp_raw_t1,Maternal urine DETP trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmdtp_lod_birth,Limit of detection of maternal DMDTP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmdtp_lod_precon,Limit of detection of maternal DMDTP at preconception,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmdtp_lod_preg,Limit of detection of maternal urine DMDTP at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmdtp_lod_t1,Limit of detection of maternal urine DMDTP in trimester,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,outcome_ath,aggr_age_0,,,,,,decimal,years,,,,"Exact age of the child (in years) when aggressive behavior was recorded for aggr_raw_0, aggr_raw_1, etc.",,,Externalizing problems,, -ATHLETE_CDM,chemicals_ath,m_dmdtp_raw_birth,Maternal DMDTP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmdtp_raw_precon,Maternal DMDTP preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmdtp_raw_preg,Maternal urine DMDTP pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmdtp_raw_t1,Maternal urine DMDTP trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmp_lod_birth,Limit of detection of maternal DMP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmp_lod_precon,Limit of detection of maternal DMP at preconception,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmp_lod_preg,Limit of detection of maternal urine DMP at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmp_lod_t1,Limit of detection of maternal urine DMP in trimester,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmp_raw_birth,Maternal DMP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmp_raw_precon,Maternal DMP preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmp_raw_preg,Maternal urine DMP pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmp_raw_t1,Maternal urine DMP trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmtp_lod_birth,Limit of detection of maternal DMTP at birth,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmtp_lod_precon,Limit of detection of maternal DMTP at preconception,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -DIAGNOSTIC,DIAGNOSTIC,DATE_PROCEDURE,Date of procedure performance,,,1.0,,,,,,,,,,,, -ATHLETE_CDM,chemicals_ath,m_dmtp_lod_preg,Limit of detection of maternal urine DMTP at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmtp_lod_t1,Limit of detection of maternal urine DMTP in trimester,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,row_id,Unique identifer for the row in Opal,,,1.1.0,,integer,numeric,,,,,,,Identifiers,, -ATHLETE_CDM,chemicals_ath,m_dmtp_raw_birth,Maternal DMTP birth levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmtp_raw_precon,Maternal DMTP preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmtp_raw_preg,Maternal urine DMTP pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_dmtp_raw_t1,Maternal urine DMTP trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,OPs,, -ATHLETE_CDM,chemicals_ath,m_eaa_lod_birth,Limit of detection of maternal EAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eaa_lod_precon,Limit of detection of maternal EAA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eaa_lod_preg,Limit of detection of maternal urine EAA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eaa_lod_t1,Limit of detection of maternal urine EAA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eaa_raw_birth,Maternal EAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eaa_raw_precon,Maternal EAA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eaa_raw_preg,Maternal urine EAA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eaa_raw_t1,Maternal urine EAA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_k_raw_birth,Maternal K birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_eeaa_lod_birth,Limit of detection of maternal EEAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eeaa_lod_precon,Limit of detection of maternal EEAA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eeaa_lod_preg,Limit of detection of maternal urine EEAA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eeaa_lod_t1,Limit of detection of maternal urine EEAA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eeaa_raw_birth,Maternal EEAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eeaa_raw_precon,Maternal EEAA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eeaa_raw_preg,Maternal urine EEAA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_eeaa_raw_t1,Maternal urine EEAA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_etpa_lod_birth,Limit of detection of maternal ETPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_etpa_lod_precon,Limit of detection of maternal ETPA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_etpa_lod_preg,Limit of detection of maternal urine ETPA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_etpa_lod_t1,Limit of detection of maternal urine ETPA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_etpa_raw_birth,Maternal ETPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,outcome_ath,aggr_avg_0,,,,,,decimal,,,,,"Average of available items comprising the total raw score of aggr_raw_0, aggr_raw_1, etc.",,,Externalizing problems,, -ATHLETE_CDM,chemicals_ath,m_etpa_raw_precon,Maternal ETPA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_etpa_raw_preg,Maternal urine ETPA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_etpa_raw_t1,Maternal urine ETPA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_fluorene_lod_birth,Limit of detection of maternal Fluorene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_fluorene_lod_precon,Limit of detection of maternal Fluorene at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_fluorene_lod_preg,Limit of detection of maternal urine Fluorene at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_fluorene_lod_t1,Limit of detection of maternal urine Fluorene in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_fluorene_raw_birth,Maternal Fluorene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_fluorene_raw_precon,Maternal Fluorene preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_fluorene_raw_preg,Maternal urine Fluorene pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_fluorene_raw_t1,Maternal urine Fluorene trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_hcb_lod_birth,Limit of detection of maternal HCB at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_hcb_lod_precon,Limit of detection of maternal HCB at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_hcb_lod_t1,Limit of detection of maternal HCB in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_hcb_raw_birth,Maternal HCB birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_hcb_raw_precon,Maternal HCB preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_hcb_raw_t1,Maternal HCB trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_hch_lod_birth,Limit of detection of maternal HCH at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_hch_lod_precon,Limit of detection of maternal HCH at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_hch_lod_t1,Limit of detection of maternal HCH in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -OOM_CDM,VACCINES,person_id,,,,2.2,,character,,,,true,A foreign key to the person in PERSONS table,,"XRC2_05983,38754",,, -ATHLETE_CDM,chemicals_ath,m_hch_raw_precon,Maternal HCH preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_hch_raw_t1,Maternal HCH trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_hg_lod_birth,Limit of detection of maternal Hg at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_hg_lod_precon,Limit of detection of maternal Hg at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_hg_lod_t1,Limit of detection of maternal Hg in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_hg_raw_birth,Maternal Hg birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_hg_raw_precon,Maternal Hg preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_hg_raw_t1,Maternal Hg trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mbzp_raw_precon,Maternal MBzP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_imazalil_lod_birth,Limit of detection of maternal Imazalil at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_imazalil_lod_precon,Limit of detection of maternal Imazalil at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_imazalil_lod_preg,Limit of detection of maternal urine Imazalil at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_imazalil_lod_t1,Limit of detection of maternal urine Imazalil in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_imazalil_raw_birth,Maternal Imazalil birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_imazalil_raw_precon,Maternal Imazalil preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_imazalil_raw_preg,Maternal urine Imazalil pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_imazalil_raw_t1,Maternal urine Imazalil trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_k_lod_birth,Limit of detection of maternal K at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_k_lod_precon,Limit of detection of maternal K at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_k_lod_t1,Limit of detection of maternal K in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_k_raw_precon,Maternal K preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_k_raw_t1,Maternal K trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_maa_lod_birth,Limit of detection of maternal MAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_maa_lod_precon,Limit of detection of maternal MAA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_maa_lod_preg,Limit of detection of maternal urine MAA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_maa_lod_t1,Limit of detection of maternal urine MAA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_maa_raw_birth,Maternal MAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_maa_raw_precon,Maternal MAA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_maa_raw_preg,Maternal urine MAA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_maa_raw_t1,Maternal urine MAA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_mbzp_lod_birth,Limit of detection of maternal MBzP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mbzp_lod_precon,Limit of detection of maternal MBzP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mbzp_lod_preg,Limit of detection of maternal urine MBzP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mbzp_lod_t1,Limit of detection of maternal urine MBzP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mbzp_raw_birth,Maternal MBzP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mbzp_raw_preg,Maternal urine MBzP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mbzp_raw_t1,Maternal urine MBzP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mecpp_raw_t1,Maternal urine MECPP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mchp_lod_birth,Limit of detection of maternal MCHP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mchp_lod_precon,Limit of detection of maternal MCHP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mchp_lod_preg,Limit of detection of maternal urine MCHP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,outcome_ath,aggr_eval_0,,,,,,categorical,,,,,"Who the test was administered/answered by for aggr_raw_0, aggr_raw_1, etc.",,,Externalizing problems,, -ATHLETE_CDM,chemicals_ath,m_mchp_lod_t1,Limit of detection of maternal urine MCHP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mchp_raw_birth,Maternal MCHP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mchp_raw_precon,Maternal MCHP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mchp_raw_preg,Maternal urine MCHP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mchp_raw_t1,Maternal urine MCHP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_meaa_lod_birth,Limit of detection of maternal MEAA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_mepa_raw_birth,Maternal MEPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_meaa_lod_precon,Limit of detection of maternal MEAA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -DIAGNOSTIC,DIAGNOSTIC,DIAG,Hospital diagnosis / chronic disease or invalidity,,,1.0,,,,,,,,,,,,See table Thesaurus (Vocabulaire CIM10 ) -ATHLETE_CDM,chemicals_ath,m_meaa_lod_preg,Limit of detection of maternal urine MEAA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_meaa_lod_t1,Limit of detection of maternal urine MEAA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_meaa_raw_birth,Maternal MEAA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_meaa_raw_precon,Maternal MEAA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_meaa_raw_preg,Maternal urine MEAA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_meaa_raw_t1,Maternal urine MEAA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_mecpp_lod_birth,Limit of detection of maternal MECPP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mecpp_lod_precon,Limit of detection of maternal MECPP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mecpp_lod_preg,Limit of detection of maternal urine MECPP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mecpp_lod_t1,Limit of detection of maternal urine MECPP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mecpp_raw_birth,Maternal MECPP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mecpp_raw_precon,Maternal MECPP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mecpp_raw_preg,Maternal urine MECPP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,outcome_ath,aggr_instr_0,,,,,,categorical,,,,,"Cohort-specific instrument used to measure the aggressive behavior for aggr_raw_0, aggr_raw_1, etc.",,,Externalizing problems,, -ATHLETE_CDM,outcome_ath,bnR_10,,,,,,binary,,,,,"Repeated measures of offspring bulimia nervosa diagnosis: -bnR_10: assessed between ≥ 10 years and < 11 years -…. -bnR_19: assessed between ≥ 19 years and < 20 years",,,Behavioral problem domains,, -ATHLETE_CDM,chemicals_ath,m_mehhp_lod_birth,Limit of detection of maternal MEHHP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehhp_lod_precon,Limit of detection of maternal MEHHP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehhp_lod_preg,Limit of detection of maternal urine MEHHP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehhp_lod_t1,Limit of detection of maternal urine MEHHP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehhp_raw_birth,Maternal MEHHP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehhp_raw_precon,Maternal MEHHP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehhp_raw_preg,Maternal urine MEHHP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehhp_raw_t1,Maternal urine MEHHP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehp_lod_birth,Limit of detection of maternal MEHP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehp_lod_precon,Limit of detection of maternal MEHP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehp_lod_preg,Limit of detection of maternal urine MEHP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehp_lod_t1,Limit of detection of maternal urine MEHP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehp_raw_birth,Maternal MEHP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehp_raw_precon,Maternal MEHP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehp_raw_preg,Maternal urine MEHP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mehp_raw_t1,Maternal urine MEHP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_meohp_lod_birth,Limit of detection of maternal MEOHP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_meohp_lod_precon,Limit of detection of maternal MEOHP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_meohp_lod_preg,Limit of detection of maternal urine MEOHP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,outcome_ath,aggr_pc_0,,,,,,decimal,,,,,"Aggressive behavior, percentiles of aggr_pro_0, aggr_pro_1, etc.",,,Externalizing problems,, -ATHLETE_CDM,chemicals_ath,m_meohp_lod_t1,Limit of detection of maternal urine MEOHP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_meohp_raw_birth,Maternal MEOHP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_meohp_raw_precon,Maternal MEOHP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_meohp_raw_preg,Maternal urine MEOHP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_meohp_raw_t1,Maternal urine MEOHP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mep_lod_birth,Limit of detection of maternal MEP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhpp_raw_preg,Maternal urine mHpP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mep_lod_precon,Limit of detection of maternal MEP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mep_lod_preg,Limit of detection of maternal urine MEP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mep_lod_t1,Limit of detection of maternal urine MEP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mep_raw_birth,Maternal MEP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mep_raw_precon,Maternal MEP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mep_raw_preg,Maternal urine MEP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mep_raw_t1,Maternal urine MEP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mepa_lod_birth,Limit of detection of maternal MEPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_mepa_lod_precon,Limit of detection of maternal MEPA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_mepa_lod_preg,Limit of detection of maternal urine MEPA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_mepa_lod_t1,Limit of detection of maternal urine MEPA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ARS_PS,PS,prognosi_testo,,,,1.0,,,,,,,,,,,, -ATHLETE_CDM,chemicals_ath,m_mepa_raw_precon,Maternal MEPA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_mepa_raw_preg,Maternal urine MEPA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_mepa_raw_t1,Maternal urine MEPA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_mg_lod_birth,Limit of detection of maternal Mg at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mg_lod_precon,Limit of detection of maternal Mg at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mg_lod_t1,Limit of detection of maternal Mg in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mg_raw_birth,Maternal Mg birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mg_raw_precon,Maternal Mg preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mg_raw_t1,Maternal Mg trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mhpp_lod_birth,Limit of detection of maternal mHpP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhpp_lod_precon,Limit of detection of maternal mHpP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhpp_lod_preg,Limit of detection of maternal urine mHpP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhpp_lod_t1,Limit of detection of maternal urine mHpP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhpp_raw_birth,Maternal mHpP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhpp_raw_precon,Maternal mHpP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhpp_raw_t1,Maternal urine mHpP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhxp_lod_birth,Limit of detection of maternal mHxP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhxp_lod_precon,Limit of detection of maternal mHxP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhxp_lod_preg,Limit of detection of maternal urine mHxP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhxp_lod_t1,Limit of detection of maternal urine mHxP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhxp_raw_birth,Maternal mHxP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhxp_raw_precon,Maternal mHxP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhxp_raw_preg,Maternal urine mHxP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mhxp_raw_t1,Maternal urine mHxP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mibp_lod_birth,Limit of detection of maternal MiBP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mibp_lod_precon,Limit of detection of maternal MiBP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mibp_lod_preg,Limit of detection of maternal urine MiBP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mibp_lod_t1,Limit of detection of maternal urine MiBP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mibp_raw_birth,Maternal MiBP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mibp_raw_precon,Maternal MiBP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mibp_raw_preg,Maternal urine MiBP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mibp_raw_t1,Maternal urine MiBP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmchp_lod_birth,Limit of detection of maternal MMCHP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmchp_lod_precon,Limit of detection of maternal MMCHP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmchp_lod_preg,Limit of detection of maternal urine MMCHP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmchp_lod_t1,Limit of detection of maternal urine MMCHP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmchp_raw_birth,Maternal MMCHP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmchp_raw_precon,Maternal MMCHP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmchp_raw_preg,Maternal urine MMCHP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmchp_raw_t1,Maternal urine MMCHP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmp_lod_birth,Limit of detection of maternal mMP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,outcome_ath,aggr_raw_0,,,,,,decimal,,,,,"Repeated measures of aggressive behavior, total raw score: aggr_raw_0: assessed within one year of childbirth (>0 year and <1 year)",,,Externalizing problems,, -ATHLETE_CDM,chemicals_ath,m_mmp_lod_precon,Limit of detection of maternal mMP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmp_lod_preg,Limit of detection of maternal urine mMP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnpep_raw_birth,Maternal MnPeP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,outcome_ath,aggr_pro_0,,,,,,decimal,,,,,"Total aggressive behavior score after prorating aggr_raw_0, aggr_raw1, etc.",,,Externalizing problems,, -ATHLETE_CDM,chemicals_ath,m_mmp_lod_t1,Limit of detection of maternal urine mMP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmp_raw_birth,Maternal mMP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmp_raw_precon,Maternal mMP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmp_raw_preg,Maternal urine mMP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mmp_raw_t1,Maternal urine mMP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mn_lod_birth,Limit of detection of maternal Mn at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mn_lod_precon,Limit of detection of maternal Mn at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mn_lod_t1,Limit of detection of maternal Mn in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,outcome_ath,aggr_wave_1,,,,,,integer,,,,,Which wave of aggressive behavior measurement was recorded?,,,Externalizing problems,, -ATHLETE_CDM,chemicals_ath,m_mn_raw_birth,Maternal Mn birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mn_raw_precon,Maternal Mn preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mn_raw_t1,Maternal Mn trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mnbp_lod_birth,Limit of detection of maternal MnBP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnbp_lod_precon,Limit of detection of maternal MnBP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnbp_lod_preg,Limit of detection of maternal urine MnBP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnbp_lod_t1,Limit of detection of maternal urine MnBP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnbp_raw_birth,Maternal MnBP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnbp_raw_precon,Maternal MnBP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnbp_raw_preg,Maternal urine MnBP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnbp_raw_t1,Maternal urine MnBP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnop_lod_birth,Limit of detection of maternal MnOP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnop_lod_precon,Limit of detection of maternal MnOP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnop_lod_preg,Limit of detection of maternal urine MnOP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,outcome_ath,att_hrt_raw_0,,,,,,decimal,milliseconds,,,,"Repeated measures of attentional function, raw score of hit reaction time: att_hrt_raw_0: assessed within one year of childbirth (>0 year and <1 year) att_hrt_raw_1: assessed when the child was aged between ≥ 1 year and < 2 years … att_hrt_raw_17: assessed when the child was aged between ≥ 17 years and < 18 years",,,Cognitive functioning,, -ATHLETE_CDM,chemicals_ath,m_mnop_lod_t1,Limit of detection of maternal urine MnOP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnop_raw_birth,Maternal MnOP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnop_raw_precon,Maternal MnOP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnop_raw_preg,Maternal urine MnOP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnop_raw_t1,Maternal urine MnOP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnpep_lod_birth,Limit of detection of maternal MnPeP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnpep_lod_precon,Limit of detection of maternal MnPeP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnpep_lod_preg,Limit of detection of maternal urine MnPeP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnpep_lod_t1,Limit of detection of maternal urine MnPeP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -DIAGNOSTIC,DIAGNOSTIC,DIAGNOSTIC_ID,ID of DIAGNOSTIC,,,1.0,,,,,,,,,,,, -ATHLETE_CDM,chemicals_ath,m_mnpep_raw_precon,Maternal MnPeP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnpep_raw_preg,Maternal urine MnPeP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_mnpep_raw_t1,Maternal urine MnPeP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,outcome_ath,anR_wave_1,,,,,,integer,,,,,Which wave of offspring anorexia nervosa diagnosis was recorded?,,,Behavioral problem domains,, -ATHLETE_CDM,chemicals_ath,m_mo_lod_birth,Limit of detection of maternal Mo at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mo_lod_precon,Limit of detection of maternal Mo at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mo_lod_t1,Limit of detection of maternal Mo in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mo_raw_birth,Maternal Mo birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mo_raw_precon,Maternal Mo preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_mo_raw_t1,Maternal Mo trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_na_lod_birth,Limit of detection of maternal Na at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_na_lod_precon,Limit of detection of maternal Na at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_na_lod_t1,Limit of detection of maternal Na in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_na_raw_birth,Maternal Na birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_na_raw_precon,Maternal Na preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_na_raw_t1,Maternal Na trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_naphthalene_lod_birth,Limit of detection of maternal Naphthalene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,outcome_ath,att_hrt_std_0,,,,,,decimal,milliseconds,,,,"Attentional function, standardized score of hit reaction time (i.e., att_hrt_raw_0, att_hrt_raw_1, etc.)",,,Cognitive functioning,, -ATHLETE_CDM,chemicals_ath,m_naphthalene_lod_precon,Limit of detection of maternal Naphthalene at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_naphthalene_lod_preg,Limit of detection of maternal urine Naphthalene at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_naphthalene_lod_t1,Limit of detection of maternal urine Naphthalene in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_naphthalene_raw_birth,Maternal Naphthalene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_naphthalene_raw_precon,Maternal Naphthalene preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_naphthalene_raw_preg,Maternal urine Naphthalene pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_naphthalene_raw_t1,Maternal urine Naphthalene trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_ohminch_lod_birth,Limit of detection of maternal oh_MiNCH at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminch_lod_precon,Limit of detection of maternal oh_MiNCH at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminch_lod_preg,Limit of detection of maternal urine oh_MiNCH at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminch_lod_t1,Limit of detection of maternal urine oh_MiNCH in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminch_raw_birth,Maternal oh_MiNCH birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminch_raw_precon,Maternal oh_MiNCH preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,outcome_ath,asdR_wave_1,,,,,,integer,,,,,Which wave of ASD diagnosis was recorded?,,,ASD Registry diagnosis,, -ATHLETE_CDM,chemicals_ath,m_ohminch_raw_preg,Maternal urine oh_MiNCH pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminch_raw_t1,Maternal urine oh_MiNCH trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminp_lod_birth,Limit of detection of maternal oh_MiNP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminp_lod_precon,Limit of detection of maternal oh_MiNP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -DIAGNOSTIC,DIAGNOSTIC,PROCEDURE_ID,ID of procedure,,,1.0,,,,,,,,,,,, -ATHLETE_CDM,chemicals_ath,m_ohminp_lod_preg,Limit of detection of maternal urine oh_MiNP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminp_lod_t1,Limit of detection of maternal urine oh_MiNP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminp_raw_birth,Maternal oh_MiNP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminp_raw_precon,Maternal oh_MiNP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminp_raw_preg,Maternal urine oh_MiNP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohminp_raw_t1,Maternal urine oh_MiNP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohmphp_lod_birth,Limit of detection of maternal oh_MPHP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohmphp_lod_precon,Limit of detection of maternal oh_MPHP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohmphp_lod_preg,Limit of detection of maternal urine oh_MPHP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohmphp_lod_t1,Limit of detection of maternal urine oh_MPHP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohmphp_raw_birth,Maternal oh_MPHP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,outcome_ath,bnR_age_10,,,,,,decimal,years,,,,"Exact age at bulimia nervosa onset for bnR_10, bnR_11, etc.",,,Behavioral problem domains,, -ATHLETE_CDM,chemicals_ath,m_ohmphp_raw_precon,Maternal oh_MPHP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohmphp_raw_preg,Maternal urine oh_MPHP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_ohmphp_raw_t1,Maternal urine oh_MPHP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxbe_lod_birth,Limit of detection of maternal OXBE at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_oxbe_lod_precon,Limit of detection of maternal OXBE at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_oxbe_lod_preg,Limit of detection of maternal urine OXBE at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_oxbe_lod_t1,Limit of detection of maternal urine OXBE in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_oxbe_raw_birth,Maternal OXBE birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_oxbe_raw_precon,Maternal OXBE preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_oxbe_raw_preg,Maternal urine OXBE pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_oxbe_raw_t1,Maternal urine OXBE trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_oxominch_lod_birth,Limit of detection of maternal oxo_MiNCH at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominch_lod_precon,Limit of detection of maternal oxo_MiNCH at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominch_lod_preg,Limit of detection of maternal urine oxo_MiNCH at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominch_lod_t1,Limit of detection of maternal urine oxo_MiNCH in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominch_raw_birth,Maternal oxo_MiNCH birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominch_raw_precon,Maternal oxo_MiNCH preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominch_raw_preg,Maternal urine oxo_MiNCH pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominch_raw_t1,Maternal urine oxo_MiNCH trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominp_lod_birth,Limit of detection of maternal oxo_MiNP at birth,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominp_lod_precon,Limit of detection of maternal oxo_MiNP at preconception,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominp_lod_preg,Limit of detection of maternal urine oxo_MiNP at pregnancy,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominp_lod_t1,Limit of detection of maternal urine oxo_MiNP in trimester,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominp_raw_birth,Maternal oxo_MiNP birth levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominp_raw_precon,Maternal oxo_MiNP preconception levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_oxominp_raw_preg,Maternal urine oxo_MiNP pregnancy levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,outcome_ath,bnR_eval_10,,,,,,binary,,,,,"How was the bulimia nervosa medical diagnosis reported for bnR_10, bnR_11, etc assessed.",,,Behavioral problem domains,, -ATHLETE_CDM,chemicals_ath,m_oxominp_raw_t1,Maternal urine oxo_MiNP trimester levels,,,1.1.0,,decimal,µg/ml,,,,,,,Phthalates,, -ATHLETE_CDM,chemicals_ath,m_pb_lod_birth,Limit of detection of maternal Pb at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_pb_lod_precon,Limit of detection of maternal Pb at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_pb_lod_t1,Limit of detection of maternal Pb in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_pb_raw_birth,Maternal Pb birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_pb_raw_precon,Maternal Pb preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_pb_raw_t1,Maternal Pb trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_pbde153_lod_birth,Limit of detection of maternal PBDE_153 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pbde153_lod_precon,Limit of detection of maternal PBDE_153 at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,outcome_ath,asd_wave_1,,,,,,integer,,,,,Which wave of ASD measurement was recorded?,,,ASD Registry diagnosis,, -ATHLETE_CDM,chemicals_ath,m_pbde153_lod_t1,Limit of detection of maternal PBDE_153 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pbde153_raw_birth,Maternal PBDE_153 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pbde153_raw_precon,Maternal PBDE_153 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pbde153_raw_t1,Maternal PBDE_153 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pbde47_lod_birth,Limit of detection of maternal PBDE_47 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pbde47_lod_precon,Limit of detection of maternal PBDE_47 in preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pbde47_lod_t1,Limit of detection of maternal PBDE_47 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pbde47_raw_birth,Maternal PBDE_47 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pbde47_raw_precon,Maternal PBDE_47 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pbde47_raw_t1,Maternal PBDE_47 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb118_lod_birth,Limit of detection of maternal PCB_118 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb118_lod_precon,Limit of detection of maternal PCB_118 at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb118_lod_t1,Limit of detection of maternal PCB_118 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb118_raw_birth,Maternal PCB_118 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb118_raw_precon,Maternal PCB_118 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb118_raw_t1,Maternal PCB_118 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb138_lod_birth,Limit of detection of maternal PCB_138 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -OOM_CDM,EUROCAT,illdur2,,,,2.2,,,,,,false,"ILLNESS DURING PREGNANCY -AS FOR ILLDUR1",,Table reference: EUROCAT/EUROmediCAT.,,, -ATHLETE_CDM,chemicals_ath,m_pcb138_lod_precon,Limit of detection of maternal PCB_138 at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb138_lod_t1,Limit of detection of maternal PCB_138 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb138_raw_birth,Maternal PCB_138 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb138_raw_precon,Maternal PCB_138 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb138_raw_t1,Maternal PCB_138 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb153_lod_birth,Limit of detection of maternal PCB_153 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb153_lod_precon,Limit of detection of maternal PCB_153 at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb153_lod_t1,Limit of detection of maternal PCB_153 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb153_raw_birth,Maternal PCB_153 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb153_raw_precon,Maternal PCB_153 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb153_raw_t1,Maternal PCB_153 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb170_lod_birth,Limit of detection of maternal PCB_170 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb170_lod_precon,Limit of detection of maternal PCB_170 at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb170_lod_t1,Limit of detection of maternal PCB_170 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb170_raw_birth,Maternal PCB_170 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb170_raw_precon,Maternal PCB_170 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb170_raw_t1,Maternal PCB_170 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb180_lod_birth,Limit of detection of maternal PCB_180 at birth,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb180_lod_precon,Limit of detection of maternal PCB_180 at preconception,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,outcome_ath,att_hrtse_pc_0,,,,,,decimal,,,,,"Attentional function, percentiles of standard error of hit reaction time (i.e., att_hrtse_raw_0, att_hrtse_raw_1, etc.)",,,Cognitive functioning,, -ATHLETE_CDM,chemicals_ath,m_pcb180_lod_t1,Limit of detection of maternal PCB_180 in trimester,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb180_raw_birth,Maternal PCB_180 birth levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb180_raw_precon,Maternal PCB_180 preconception levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pcb180_raw_t1,Maternal PCB_180 trimester levels,,,1.1.0,,decimal,pg/g,,,,,,,OCs & PBDEs,, -ATHLETE_CDM,chemicals_ath,m_pfda_lod_birth,Limit of detection of maternal PFDA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfda_lod_precon,Limit of detection of maternal PFDA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfda_lod_t1,Limit of detection of maternal PFDA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,outcome_ath,bnR_wave_1,,,,,,integer,,,,,Which wave of bulimia nervosa diagnosis was recorded?,,,Behavioral problem domains,, -ATHLETE_CDM,chemicals_ath,m_pfda_raw_birth,Maternal PFDA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfda_raw_precon,Maternal PFDA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfda_raw_t1,Maternal PFDA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfhps_lod_birth,Limit of detection of maternal PFHpS at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfhps_lod_precon,Limit of detection of maternal PFHpS at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfhps_lod_t1,Limit of detection of maternal PFHpS in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfhps_raw_birth,Maternal PFHpS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfhps_raw_precon,Maternal PFHpS preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfhps_raw_t1,Maternal PFHpS trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfhxs_lod_birth,Limit of detection of maternal PFHxS at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfhxs_lod_precon,Limit of detection of maternal PFHxS at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfhxs_lod_t1,Limit of detection of maternal PFHxS in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfhxs_raw_birth,Maternal PFHxS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfhxs_raw_precon,Maternal PFHxS preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfhxs_raw_t1,Maternal PFHxS trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfna_lod_birth,Limit of detection of maternal PFNA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfna_lod_precon,Limit of detection of maternal PFNA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfna_lod_t1,Limit of detection of maternal PFNA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfna_raw_birth,Maternal PFNA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfna_raw_precon,Maternal PFNA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfna_raw_t1,Maternal PFNA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfoa_lod_birth,Limit of detection of maternal PFOA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfoa_lod_precon,Limit of detection of maternal PFOA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfoa_lod_t1,Limit of detection of maternal PFOA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfoa_raw_birth,Maternal PFOA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfoa_raw_precon,Maternal PFOA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfoa_raw_t1,Maternal PFOA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfos_lod_birth,Limit of detection of maternal PFOS at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfos_lod_precon,Limit of detection of maternal PFOS at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfos_lod_t1,Limit of detection of maternal PFOS in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfos_raw_birth,Maternal PFOS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfos_raw_precon,Maternal PFOS preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfos_raw_t1,Maternal PFOS trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfunda_lod_birth,Limit of detection of maternal PFUnDA at birth,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfunda_lod_precon,Limit of detection of maternal PFUnDA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfunda_lod_t1,Limit of detection of maternal PFUnDA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfunda_raw_birth,Maternal PFUnDA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfunda_raw_precon,Maternal PFUnDA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_pfunda_raw_t1,Maternal PFUnDA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PFASs,, -ATHLETE_CDM,chemicals_ath,m_phenanthrene_lod_birth,Limit of detection of maternal Phenanthrene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_phenanthrene_lod_precon,Limit of detection of maternal Phenanthrene at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_phenanthrene_lod_preg,Limit of detection of maternal urine Phenanthrene at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_phenanthrene_lod_t1,Limit of detection of maternal urine Phenanthrene in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_phenanthrene_raw_birth,Maternal Phenanthrene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_phenanthrene_raw_precon,Maternal Phenanthrene preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_phenanthrene_raw_preg,Maternal urine Phenanthrene pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_phenanthrene_raw_t1,Maternal urine Phenanthrene trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_lod_birth,Limit of detection of maternal Phenoxyacetic acid at birth,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_lod_precon,Limit of detection of maternal Phenoxyacetic acid at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_lod_preg,Limit of detection of maternal urine Phenoxyacetic acid at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_lod_t1,Limit of detection of maternal urine Phenoxyacetic acid in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_raw_birth,Maternal Phenoxyacetic acid birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_raw_precon,Maternal Phenoxyacetic acid preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_raw_preg,Maternal urine Phenoxyacetic acid pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_phenoxyacetic_acid_raw_t1,Maternal urine Phenoxyacetic acid trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Glycolethers,, -ATHLETE_CDM,chemicals_ath,m_prpa_lod_birth,Limit of detection of maternal PRPA at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_prpa_lod_precon,Limit of detection of maternal PRPA at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_prpa_lod_preg,Limit of detection of maternal urine PRPA at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_prpa_lod_t1,Limit of detection of maternal urine PRPA in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,outcome_ath,edR_wave_1,,,,,,integer,,,,,Which wave of offspring eating disorder diagnosis was recorded?,,,Behavioral problem domains,, -ATHLETE_CDM,chemicals_ath,m_prpa_raw_birth,Maternal PRPA birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_prpa_raw_precon,Maternal PRPA preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_prpa_raw_preg,Maternal urine PRPA pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_prpa_raw_t1,Maternal urine PRPA trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_pyrene_lod_birth,Limit of detection of maternal Pyrene at birth,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_pyrene_lod_precon,Limit of detection of maternal Pyrene at preconception,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_pyrene_lod_preg,Limit of detection of maternal urine Pyrene at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_pyrene_lod_t1,Limit of detection of maternal urine Pyrene in trimester,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_pyrene_raw_birth,Maternal Pyrene birth levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_pyrene_raw_precon,Maternal Pyrene preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_pyrene_raw_preg,Maternal urine Pyrene pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_pyrene_raw_t1,Maternal urine Pyrene trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,PAHs,, -ATHLETE_CDM,chemicals_ath,m_pyrethroids_lod_birth,Limit of detection of maternal Pyrethroids at birth,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_pyrethroids_lod_precon,Limit of detection of maternal Pyrethroids at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -MBRN,MBRN,PERINAT_DODFOD_1000_WHO,Perinatal stillborn ≥ 1000 gram according to WHOs secondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -ATHLETE_CDM,chemicals_ath,m_pyrethroids_lod_preg,Limit of detection of maternal urine Pyrethroids at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_pyrethroids_lod_t1,Limit of detection of maternal urine Pyrethroids in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_pyrethroids_raw_birth,Maternal Pyrethroids birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -OOM_CDM,EUROCAT,karyo,,,,2.2,,,,,,false,"KARYOTYPE OF INFANT/FETUS +9 = Not known",,,,False,,,,, +DIAGNOSTIC,DIAGNOSTIC,DATE_PROCEDURE,Date of procedure performance,,,1.0,,,,,,,,,,,,,False,,,,, +OOM,VACCINES,person_id,,,,2.2,,character,,,,true,A foreign key to the person in PERSONS table,,"XRC2_05983,38754",,,,False,,,,, +DIAGNOSTIC,DIAGNOSTIC,DIAG,Hospital diagnosis / chronic disease or invalidity,,,1.0,,,,,,,,,,,,See table Thesaurus (Vocabulaire CIM10 ),False,,,,, +ARS_PS,PS,prognosi_testo,,,,1.0,,,,,,,,,,,,,False,,,,, +MBRN,MBRN,APGAR5_MANGLER,Apgar score after 5 minutes is missing,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +DIAGNOSTIC,DIAGNOSTIC,DIAGNOSTIC_ID,ID of DIAGNOSTIC,,,1.0,,,,,,,,,,,,,False,,,,, +DIAGNOSTIC,DIAGNOSTIC,PROCEDURE_ID,ID of procedure,,,1.0,,,,,,,,,,,,,False,,,,, +MBRN,MBRN,YRKE_KODE,Employed,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration. See next variable.,,,,,"1 = Not employed + 2 = Employed, full-time + 3 = Employed, part-time",False,,,,, +OOM,EUROCAT,illdur2,,,,2.2,,,,,,false,"ILLNESS DURING PREGNANCY +AS FOR ILLDUR1",,Table reference: EUROCAT/EUROmediCAT.,,,,False,,,,, +OOM,EUROCAT,premal8,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION +AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally +2 = No,this anomaly was diagnosed postnatally +3 = This anomaly partially prenatally diagnosed +9 =Not known,Table reference: EUROCAT AS PRESYN",,,,False,,,,, +OOM,EUROCAT,presyn,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR SYNDROME +When each anomaly was first diagnosed. +The basis for this variable is to record whether the prenatal findings strongly suggest the postnatal diagnosis. This variable is not designed for fetal medicine specialists to assess the accuracy of their prenatal diagnosis. Thus the finding of a significant heart anomaly prenatally is considered to be prenatally detected, even if the exact anomaly was not correctly diagnosed. ‘Yes, prenatally diagnosed’, should be used when the prenatal finding is nearly 100% predictive of the congenital anomaly. ‘Partially’ means that the prenatal finding is consistent with the postnatal anomaly but has a lesser predictive value, being suggestive of more than one type of anomaly, an example here would be increased nuchal translucency. The examples below are to illustrate this principle and ensure consistency of coding. Queries about individual cases can be send to Central registry",,"1 = Yes,this anomaly was diagnosed prenatally +2 = No,this anomaly was diagnosed postnatally +3 = This anomaly partially prenatally diagnosed +9 =Not known,Table reference: EUROCAT",,,,False,,,,, +OOM,EUROCAT,prevsib,,,,2.2,,,,,,false,"PREVIOUS MALFORMED SIBLINGS NOTIFIED TO EUROCAT +If yes, give the local ID number in variables SIB1, SIB2 or SIB3 (variables 69-71). + +Include malformed co-twins or siblings from the same pregnancy, irrespective of birth order within multiple set. + +Exclude, conjoined twin.",,"1 = Yes +2 = No +9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +MBRN,MBRN,PERINAT_DODFOD_1000_WHO,Perinatal stillborn ≥ 1000 gram according to WHOs secondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +OOM,EUROCAT,karyo,,,,2.2,,,,,,false,"KARYOTYPE OF INFANT/FETUS Specify result in variable 25. Array results count as a karyotype test Report only clearly pathogenic variants and if uncertain, include only copy number variants (CNVs) (duplications or deletions) larger than 1 MB. Only report cases with de novo CNVs unless the parent in familial cases also has clinical manifestations of the condition (dysmorphic features or congenital anomalies). (Coding Committee 2015) @@ -4381,142 +4600,47 @@ If performed and results known, please specify (according to the latest ISCN edi 3 = Not performed 4 = Probe test performed 8 = Failed -9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -ATHLETE_CDM,chemicals_ath,m_pyrethroids_raw_precon,Maternal Pyrethroids preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_pyrethroids_raw_preg,Maternal urine Pyrethroids pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_pyrethroids_raw_t1,Maternal urine Pyrethroids trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Other pesticides,, -ATHLETE_CDM,chemicals_ath,m_se_lod_birth,Limit of detection of maternal Se at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_se_lod_precon,Limit of detection of maternal Se at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_se_lod_t1,Limit of detection of maternal Se in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_se_raw_birth,Maternal Se birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,outcome_ath,ext_wave_1,,,,,,integer,,,,,Which wave of externalizing symptoms measurement was recorded?,,,Externalizing problems,, -ATHLETE_CDM,chemicals_ath,m_se_raw_precon,Maternal Se preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_se_raw_t1,Maternal Se trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_tl_lod_birth,Limit of detection of maternal Tl at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_tl_lod_precon,Limit of detection of maternal Tl at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_tl_lod_t1,Limit of detection of maternal Tl in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_tl_raw_birth,Maternal Tl birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_tl_raw_precon,Maternal Tl preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_tl_raw_t1,Maternal Tl trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_trcs_lod_birth,Limit of detection of maternal TRCS at birth,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,outcome_ath,att_hrtse_raw_0,,,,,,decimal,milliseconds,,,,"Repeated measures of attentional function, raw score of standard error of hit reaction time: att_hrtse_raw_0: assessed within one year of childbirth (>0 year and <1 year) att_hrtse_raw_1: assessed when the child was aged between ≥ 1 year and < 2 years … att_hrtse_raw_17: assessed when the child was aged between ≥ 17 years and < 18 years",,,Cognitive functioning,, -ATHLETE_CDM,chemicals_ath,m_trcs_lod_precon,Limit of detection of maternal TRCS at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_trcs_lod_preg,Limit of detection of maternal urine TRCS at pregnancy,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_trcs_lod_t1,Limit of detection of maternal urine TRCS in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_trcs_raw_birth,Maternal TRCS birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_trcs_raw_precon,Maternal TRCS preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_trcs_raw_preg,Maternal urine TRCS pregnancy levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_trcs_raw_t1,Maternal urine TRCS trimester levels,,,1.1.0,,decimal,µg/L,,,,,,,Phenols,, -ATHLETE_CDM,chemicals_ath,m_zn_lod_birth,Limit of detection of maternal Zn at birth,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_zn_lod_precon,Limit of detection of maternal Zn at preconception,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_zn_lod_t1,Limit of detection of maternal Zn in trimester,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_zn_raw_birth,Maternal Zn birth levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,chemicals_ath,m_zn_raw_precon,Maternal Zn preconception levels,,,1.1.0,,decimal,µg/L,,,,,,,Metals,, -ATHLETE_CDM,outcome_ath,CRL_t1,Crown-rump length in 1st trimester,,,,,decimal,cm,,,,,,,,, -ATHLETE_CDM,outcome_ath,abd_circum_sdsWHOEUR_t2,Gestational age- and sex-adjusted abdominal circumference SDS  in 2nd trimester based on European WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,, -ATHLETE_CDM,outcome_ath,abd_circum_sdsWHO_t2,Gestational age-adjusted abdominal circumference SDS  in 2nd trimester based on overall WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,, -ATHLETE_CDM,outcome_ath,alt_0,Repeated measures of child’s alanine aminotrasferase concentrations,,,,,continuous,unit per liter,,,,Repeated measures of child’s alanine aminotrasferase concentrations: alt_0: assessed within one year of childbirth (>0 year and <1 year) alt_1: assessed when the child was aged between ≥ 1 year and < 2 years … alt_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,, -ATHLETE_CDM,outcome_ath,anR_10,,,,,,binary,,,,,"Repeated measures of offspring anorexia nervosa diagnosis: -anR_10: assessed between ≥ 10 years and < 11 years -…. -anR_19: assessed between ≥ 19 years and < 20 years",,,Behavioral problem domains,, -ATHLETE_CDM,outcome_ath,anR_age_10,,,,,,decimal,years,,,,"Exact age at anorexia nervosa onset for anR_10, anR_11, etc.",,,Behavioral problem domains,, -ATHLETE_CDM,outcome_ath,anR_eval_10,,,,,,binary,,,,,"How was the anorexia nervosa medical diagnosis reported for anR_10, anR_11, etc assessed.",,,Behavioral problem domains,, -ATHLETE_CDM,outcome_ath,ast_0,Repeated measures of child’s aspartate aminotrasferase concentrations,,,,,continuous,unit per liter,,,,Repeated measures of child’s aspartate aminotrasferase concentrations: ast_0: assessed within one year of childbirth (>0 year and <1 year) ast_1: assessed when the child was aged between ≥ 1 year and < 2 years … ast_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,, -ATHLETE_CDM,outcome_ath,att_age_0,,,,,,decimal,years,,,,"Exact age of the child (in years) when attentional function was recorded for att_raw_0, att_raw_1, etc.",,,Cognitive functioning,, -ATHLETE_CDM,outcome_ath,att_com_pc_0,,,,,,decimal,,,,,"Attentional function, percentiles of number of commissions (i.e., att_com_raw_0, att_com_raw_1, etc.)",,,Cognitive functioning,, -ATHLETE_CDM,outcome_ath,att_com_raw_0,,,,,,decimal,,,,,"Repeated measures of attentional function, raw score of number of commissions: att_com_raw_0: assessed within one year of childbirth (>0 year and <1 year) att_com_raw_1: assessed when the child was aged between ≥ 1 year and < 2 years … att_com_raw_17: assessed when the child was aged between ≥ 17 years and < 18 years",,,Cognitive functioning,, -ATHLETE_CDM,outcome_ath,att_com_std_0,,,,,,decimal,,,,,"Attentional function, standardized score of number of commissions (i.e., att_com_raw_0, att_com_raw_1, etc.)",,,Cognitive functioning,, -ATHLETE_CDM,outcome_ath,att_eval_0,,,,,,categorical,,,,,"Who the attentional function test was administered/answered by for att_raw_0, att_raw_1, etc.",,,Cognitive functioning,, -ATHLETE_CDM,outcome_ath,att_hrt_pc_0,,,,,,decimal,,,,,"Attentional function, percentiles of hit reaction time (i.e., att_hrt_raw_0, att_hrt_raw_1, etc.)",,,Cognitive functioning,, -ATHLETE_CDM,outcome_ath,biparietal_diam_sdsWHO_t2,Gestational age-adjusted biparietal diameter SDS  in 2nd trimester based on overall WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,, -MBRN,MBRN,PERINAT_DODFOD_500_WHO,Perinatal stillborn ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -ATHLETE_CDM,outcome_ath,avr_0,Repeated measures of child‘s arteriole-to-venule ratio (AVR) (mean value from right and left fundus),,,,,continuous,,,,,Repeated measures of child‘s arteriole-to-venule ratio (AVR) (mean value from right and left fundus): rmcavr_0 assessed within one year of childbirth (>0 year and <1 year) rmcavr_1: assessed when the child was aged between ≥ 1 year and < 2 years … rmcavr_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,, -ATHLETE_CDM,outcome_ath,bedR_10,,,,,,binary,,,,,"Repeated measures of offspring binge eating disorder diagnosis: -bedR_10: assessed between ≥ 10 years and < 11 years -…. -bedR_19: assessed between ≥ 19 years and < 20 years",,,Behavioral problem domains,, -ATHLETE_CDM,outcome_ath,bedR_age_10,,,,,,decimal,years,,,,"Exact age at binge eating disorder onset for bedR_10, bedR_11, etc.",,,Behavioral problem domains,, -ATHLETE_CDM,outcome_ath,biparietal_diam_sdsWHOEUR_t2,Gestational age- and sex-adjusted biparietal diameter SDS  in 2nd trimester based on European WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,, -ATHLETE_CDM,outcome_ath,ck18_0,Repeated measures of child’s Cytokeratin-18 concentrations: ck18_0,,,,,continuous,unit per liter,,,,Repeated measures of child’s Cytokeratin-18 concentrations: ck18_0: assessed within one year of childbirth (>0 year and <1 year) ck18_1: assessed when the child was aged between ≥ 1 year and < 2 years … ck18_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,, -ATHLETE_CDM,outcome_ath,crae_0,Repeated measures of child‘s central retinal arterial equivalent (CRAE) (mean value from right and left fundus),,,,,continuous,micrometer,,,,Repeated measures of child‘s central retinal arterial equivalent (CRAE) (mean value from right and left fundus): rmccrae_0: assessed within one year of childbirth (>0 year and <1 year) rmccrae_1: assessed when the child was aged between ≥ 1 year and < 2 years … rmccrae_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,, -ATHLETE_CDM,outcome_ath,crve_0,Repeated measures of child‘s central retinal venular equivalent (CRVE) (mean value from right and left fundus),,,,,continuous,micrometer,,,,Repeated measures of child‘s central retinal venular equivalent (CRVE) (mean value from right and left fundus): rmccrve_0: assessed within one year of childbirth (>0 year and <1 year) rmccrve_1: assessed when the child was aged between ≥ 1 year and < 2 years … rmccrve_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,, -ATHLETE_CDM,outcome_ath,cvd_risk_score_0,Continuous pediatric CVD score combining three MetS components (not including the HOMA-IR/glucose component) based on the IDEFICS z-scores,,,,,continuous,,,,,,,,,, -ATHLETE_CDM,outcome_ath,dbp_idefics_perc_0,Repeated DBP percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,, -ATHLETE_CDM,outcome_ath,edR_10,,,,,,binary,,,,,"Repeated measures of offspring eating disorder diagnosis: -edR_10: assessed between ≥ 10 years and < 11 years -…. -edR_19: assessed between ≥ 19 years and < 20 years",,,Behavioral problem domains,, -ATHLETE_CDM,outcome_ath,edR_age_10,,,,,,decimal,years,,,,"Exact age at eating disorder onset for edR_10, edR_11, etc.",,,Behavioral problem domains,, -ATHLETE_CDM,outcome_ath,edR_eval_10,,,,,,binary,,,,,"How was the eating disorder medical diagnosis reported for edR_10, edR_11, etc assessed.",,,Behavioral problem domains,, -ATHLETE_CDM,outcome_ath,femur_length_sdsWHOEUR_t2,Gestational age- and sex-adjusted femur length SDS  in 2nd trimester based on European WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,, -ATHLETE_CDM,outcome_ath,femur_length_sdsWHO_t2,Gestational age-adjusted femur length SDS  in 2nd trimester based on overall WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,, -ATHLETE_CDM,outcome_ath,fetus_abd_circum_t2,Abdominal circumference of the fetus in 2nd trimester,,,,,decimal,cm,,,,,,,,, -ATHLETE_CDM,outcome_ath,fetus_biparietal_diam_t1,Biparietal diameter of the fetus in 1st trimester,,,,,decimal,cm,,,,,,,,, -ATHLETE_CDM,outcome_ath,fetus_femur_length_t2,Femur length of the fetus in 2nd trimester,,,,,decimal,cm,,,,,,,,, -ATHLETE_CDM,outcome_ath,fetus_femur_length_t2 ,Femur length of the fetus in 2nd trimester,,,,,decimal,cm,,,,,,,,, -ATHLETE_CDM,outcome_ath,fm_wave_1,,,,,,integer,,,,,Which wave of fine motor measurement was recorded?,,,Fine motor,, -ATHLETE_CDM,outcome_ath,ga_us_t1,Gestational age when ultrasound in 1st trimester was performed,,,,,integer,days,,,,,,,,, -ATHLETE_CDM,outcome_ath,int_wave_1,,,,,,integer,,,,,Which wave of internalizing symptoms measurement was recorded?,,,Internalizing problems,, -ATHLETE_CDM,outcome_ath,lan_wave_1,,,,,,integer,,,,,Which wave of language measurement was recorded?,,,Language (cognition),, -ATHLETE_CDM,outcome_ath,mrihff_0,Repeated measures of child’s mean hepatic fat-fraction  measured using MRI,,,,,continuous,%,,,,Repeated measures of child’s mean hepatic fat-fraction  measured using MRI: mrihff_0: assessed within one year of childbirth (>0 year and <1 year) mrihff_1: assessed when the child was aged between ≥ 1 year and < 2 years … mrihff_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,, -ATHLETE_CDM,outcome_ath,mrivafm_0,Repeated measures of child‘s visceral abdominal fat mass measured using MRI,,,,,continuous,gram,,,,Repeated measures of child‘s visceral abdominal fat mass measured using MRI: mrivafm_0: assessed within one year of childbirth (>0 year and <1 year) mrivafm_1: assessed when the child was aged between ≥ 1 year and < 2 years … mrivafm_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,, -ATHLETE_CDM,outcome_ath,n_wheezing_12m_0,Number of wheezing attacks in the past 12 months,,,,,categorical,,,,,"Number of wheezing attacks in the past 12 months, when the child was aged 0-1 year / 1-2 years / … /17-18 years",,,,, -ATHLETE_CDM,outcome_ath,nvi_wave_1,,,,,,integer,,,,,Which wave of non-verbal intelligence measurement was recorded?,,,Non-verbal intelligence,, -ATHLETE_CDM,outcome_ath,pi_uma_t2,Pulsatility index umbilical artery in 2nd trimester,,,,,decimal,,,,,,,,,, -ATHLETE_CDM,outcome_ath,pi_uta_t2,Pulsatility index uterine artery in 2nd trimester,,,,,decimal,,,,,,,,,, -ATHLETE_CDM,outcome_ath,rhinitis_0,Hay fever / rhinitis ever,,,,,binary,,,,,"Hay fever / rhinitis ever, reported at 0-1 yr / 1-2 yrs / …/17-18 years",,,,, -ATHLETE_CDM,outcome_ath,rhinitis_sx_12m_0,"Problem with sneezing, or a runny, or blocked nose",,,,,binary,,,,,"Problem with sneezing, or a runny, or blocked nose when the child DID NOT have a cold or the flu, in the past 12 months, and was aged 0-1 year / 1-2 years / … /17-18 years",,,,, -ATHLETE_CDM,outcome_ath,rhinitis_sx_ever_0,"Ever (lifetime) problem with sneezing, or a runny, or blocked nose",,,,,binary,,,,,"Ever (lifetime) problem with sneezing, or a runny, or blocked nose when the child DID NOT have a cold or the flu and was aged 0-1 year / 1-2 years / … /17-18 years",,,,, -ATHLETE_CDM,outcome_ath,rhinitis_ttt_12m_0,Child intake of medicines against nasal allergy/hay fever/allergic rhinitis,,,,,binary,,,,,"Did your child take any medicines against nasal allergy/hay fever/allergic rhinitis, when the child was aged 0-1 year / 1-2 years / … /17-18 years",,,,, -ATHLETE_CDM,outcome_ath,rmc_age_0,"Exact age of the child (in years) when arteriole-to-venule ratio (AVR) vas measured for rmcavr_0, rmcavr_1, etc.",,,,,continuous,years,,,,,,,,, -ATHLETE_CDM,outcome_ath,rmcmes_0,"Method used to measure retinal microcirculation parameters (i.e. CRAE, CRVE, and AVR) for each measurement (e.g. rmcrve_0, rmcrve_1, rmcrve_2 etc.)",,,,,categorical,,,,,,,,,, -ATHLETE_CDM,outcome_ath,sbp_idefics_perc_0,Repeated SBP percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,, -ATHLETE_CDM,outcome_ath,tortuosity_0,Repeated measures of child‘s tortuosity index (mean value from right and left fundus),,,,,continuous,,,,,Repeated measures of child‘s tortuosity index (mean value from right and left fundus): rmcavr_0 assessed within one year of childbirth (>0 year and <1 year) rmcavr_1: assessed when the child was aged between ≥ 1 year and < 2 years … rmcavr_17: assessed when the child was aged between ≥ 17 years and < 18 years,,,,, -ATHLETE_CDM,outcome_ath,triglyceride_idefics_perc_0,Repeated triglycerides percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,, +9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +DIAGNOSTIC,DIAGNOSTIC,TYP_UM_HOSP,Type of authorisation of medical unit,,,1.0,,,,,,,,,,,,See table Thesaurus (Vocabulaire TYP_UM),False,,,,, +MBRN,MBRN,PERINAT_DODFOD_500_WHO,Perinatal stillborn ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +OOM,EUROCAT,residmo,,,,2.2,,,,,,false,"MOTHER’S RESIDENCE CODE +Use local code for locality of residence at time of delivery.",,Table reference: EUROCAT Local code (up to 10 digits),,,,False,,,,, ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,SESSO,Gender,,,1.0,,,,,,,"If a person changes chender, this info changes, but the personal identifier wll most likely change as well so follow up is not possible",,,,,"1= male 2= female - 9= unknown" -ATHLETE_CDM,outcome_ath,wc_idefics_perc_0,Repeated WC percentiles based on the IDEFICS study reference values,,,,,continuous,,,,,,,,,, -ATHLETE_CDM,outcome_ath,weight_sdsWHOEUR_t2,Gestational age- and sex- adjusted estimated fetal weight SDS  in 2nd trimester based on European WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,, -ATHLETE_CDM,outcome_ath,weight_sdsWHO_t2,Gestational age- and sex- adjusted estimated fetal weight SDS  in 2nd trimester based on overall WHO-based reference growth curves,,,,,continuous,estimated fetal weight SDS,,,,,,,,, -ATHLETE_CDM,outcome_ath,wm_wave_1,,,,,,integer,,,,,Which wave of working memory measurement was recorded?,,,Working memory,, -ATHLETE_CDM,outcome_ath,z_bmi_0,Repeated measures of child's BMI z-score calculated using the World Health Organization (WHO) reference curves,,,,,continuous,,,,,,,,,, -ATHLETE_CDM,outcome_ath,z_height_0,Repeated measures of child's height z-score calculated using the World Health Organization (WHO) reference curves,,,,,continuous,,,,,,,,,, -ATHLETE_CDM,outcome_ath,z_weight_0,Repeated measures of child's weight z-score calculated using the World Health Organization (WHO) reference curves,,,,,continuous,,,,,,,,,, -AP,AP,dat_acc,acceptance date,,,1.0,,,,,,,,,,,,date on which the material to be analyzed arrives at the reporting department -MBRN,MBRN,TANG,Forceps,,,1.0,,,,,,,HCP,,,,,1 = Yes -ANAGRAFICA,ANAGRAFICA,DATADECESSO,Data della morte,,,1.0,,,,,,,,,,,,Date of death -ANAGRAFICA,ANAGRAFICA,DATEOFBIRTH,Data di nascita,,,1.0,,,,,,,,,,,,Date of birth -ANAGRAFICA,ANAGRAFICA,MAXASSISTIB,Data fine assistibilità,,,1.0,,,,,,,,,,,,Last NHS access date -ANAGRAFICA,ANAGRAFICA,MEDICO,Codice medico dell’assistito,,,1.0,,,,,,,,,,,,GP code of registered physician -ANAGRAFICA,ANAGRAFICA,PATID,Codice identificativo paziente criptato,,,1.0,,,,,,,,,,,,Patient ID code -ANAGRAFICA,ANAGRAFICA,SEX,Sesso dell’assistito,,,1.0,,,,,,,,,,,,M= Male; F= Female + 9= unknown",False,,,,, +AP,AP,dat_acc,acceptance date,,,1.0,,,,,,,,,,,,date on which the material to be analyzed arrives at the reporting department,False,,,,, +MBRN,MBRN,TANG,Forceps,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +ANAGRAFICA,ANAGRAFICA,DATADECESSO,Data della morte,,,1.0,,,,,,,,,,,,Date of death,False,,,,, +ANAGRAFICA,ANAGRAFICA,DATEOFBIRTH,Data di nascita,,,1.0,,,,,,,,,,,,Date of birth,False,,,,, +ANAGRAFICA,ANAGRAFICA,MAXASSISTIB,Data fine assistibilità,,,1.0,,,,,,,,,,,,Last NHS access date,False,,,,, +ANAGRAFICA,ANAGRAFICA,MEDICO,Codice medico dell’assistito,,,1.0,,,,,,,,,,,,GP code of registered physician,False,,,,, +ANAGRAFICA,ANAGRAFICA,PATID,Codice identificativo paziente criptato,,,1.0,,,,,,,,,,,,Patient ID code,False,,,,, +ANAGRAFICA,ANAGRAFICA,SEX,Sesso dell’assistito,,,1.0,,,,,,,,,,,,M= Male; F= Female,False,,,,, AP,AP,cod_morf_1,morphology code 1,,,1.0,,,,,,,,,,,,"main morphological code, i.e. the code of the most significant pathology, relative to the topographic site of the tumor, indicated in the cod_topog field - SNOMED classification vers.3" + SNOMED classification vers.3",False,,,,, AP,AP,cod_morf_2,morphology code 2,,,1.0,,,,,,,,,,,,"if in the presence of accompanying pathology, always relative to the same topographical location indicated in cod_topog, it contains the morphological code of this pathology, SNOMED classification vers. 3 - if not in the presence of accompanying pathology it contains eight zeros" + if not in the presence of accompanying pathology it contains eight zeros",False,,,,, AP,AP,cod_morf_3,morphology code 3,,,1.0,,,,,,,,,,,,"if in the presence of accompanying pathology, always relative to the same topographical location indicated in cod_topog, it contains the morphological code of this pathology, SNOMED classification vers. 3 - if not in the presence of accompanying pathology it contains eight zeros" -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,COD_REGIONE,,,,1.0,,,,,,,This cell refers to the area of Tuscany where the person is living between INI_RECORD and FINE_RECORD,,,,, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,DATA_MORTE_MARSI,Date of death from al algorithm interrogating the whole ARS database,,,1.0,,,,,,,Details of the algorithm can be provided,,,,, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,DATA_NASCITA,Date of birth,,,1.0,,,,,,,,,,,, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,FINE_RECORD,End of validity of the info in the record,,,1.0,,,,,,,,,,,,Date -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,ID_UNIVERSALE,Pseudonymous assigned by the Region,,,1.0,,,,,,,Key for record linkage with other tables,,,,, -ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,INI_RECORD,Start of validity of the info in the record,,,1.0,,,,,,,,,,,,Date -DIAGNOSTIC,DIAGNOSTIC,NAT_EXO,Nature of exemption,,,1.0,,,,,,,,,,,,See table Thesaurus (Vocabulaire NAT_EXO) -DIAGNOSTIC,DIAGNOSTIC,PATIENT_ID,Patient ID,,,1.0,,,,,,,,,,,, -ARS_PS,PS,data_dimi,date of discharge,,,1.0,,,,,,,,,,,,From DIMISSIONI table + if not in the presence of accompanying pathology it contains eight zeros",False,,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,COD_REGIONE,,,,1.0,,,,,,,This cell refers to the area of Tuscany where the person is living between INI_RECORD and FINE_RECORD,,,,,,False,,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,DATA_MORTE_MARSI,Date of death from al algorithm interrogating the whole ARS database,,,1.0,,,,,,,Details of the algorithm can be provided,,,,,,False,,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,DATA_NASCITA,Date of birth,,,1.0,,,,,,,,,,,,,False,,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,FINE_RECORD,End of validity of the info in the record,,,1.0,,,,,,,,,,,,Date,False,,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,ID_UNIVERSALE,Pseudonymous assigned by the Region,,,1.0,,,,,,,Key for record linkage with other tables,,,,,,False,,,,, +ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,INI_RECORD,Start of validity of the info in the record,,,1.0,,,,,,,,,,,,Date,False,,,,, +DIAGNOSTIC,DIAGNOSTIC,NAT_EXO,Nature of exemption,,,1.0,,,,,,,,,,,,See table Thesaurus (Vocabulaire NAT_EXO),False,,,,, +DIAGNOSTIC,DIAGNOSTIC,PATIENT_ID,Patient ID,,,1.0,,,,,,,,,,,,,False,,,,, +ARS_PS,PS,data_dimi,date of discharge,,,1.0,,,,,,,,,,,,From DIMISSIONI table,False,,,,, AVOHILMO,avo_toimenpide,"TOIMENPIDE_1-TOIMENPIDE_10 - (avo_toimenpide)",Up to 10 SPAT procedures recorded at the visit,,,1.0,,,,,,,,,,,, + (avo_toimenpide)",Up to 10 SPAT procedures recorded at the visit,,,1.0,,,,,,,,,,,,,False,,,,, AVOHILMO,kayntisyy_icd10,"ICD10_1-ICD10_5 - (kayntisyy_icd10)",Up to 5 ICD-10 diagnoses recorded at the visit,,,1.0,,,,,,,,,,,, + (kayntisyy_icd10)",Up to 5 ICD-10 diagnoses recorded at the visit,,,1.0,,,,,,,,,,,,,False,,,,, AVOHILMO,kayntisyy_icpc2,"ICPC2_1-ICPC2_5 - (kayntisyy_icpc2)",Up to 5 ICPC2 diagnoses recorded at the visit,,,1.0,,,,,,,,,,,, + (kayntisyy_icpc2)",Up to 5 ICPC2 diagnoses recorded at the visit,,,1.0,,,,,,,,,,,,,False,,,,, AVOHILMO,palvelutapahtuma,"KAYNTI_ALKOI - (palvelutapahtuma)",Time of visit start,,,1.0,,,,,,,,,,,, + (palvelutapahtuma)",Time of visit start,,,1.0,,,,,,,,,,,,,False,,,,, AVOHILMO,palvelutapahtuma,"KAYNTI_LOPPUI - (palvelutapahtuma)",Time of visit end,,,1.0,,,,,,,,,,,, + (palvelutapahtuma)",Time of visit end,,,1.0,,,,,,,,,,,,,False,,,,, AVOHILMO,palvelutapahtuma,"PALVELUMUOTO (palvelutapahtuma)",Service type,,,1.0,,,,,,,,,,,,"T11 General medicine T21 Maternity health @@ -4546,7 +4670,7 @@ AVOHILMO,palvelutapahtuma,"PALVELUMUOTO T73 Substance abuse T80 Day activity T81 Day hospital - T90 Other service" + T90 Other service",False,,,,, AVOHILMO,palvelutapahtuma,"YHTEYSTAPA (palvelutapahtuma)",Contact type,,,1.0,,,,,,,"Extract only if R10, R20, R30 or R40.",,,,,"R10 Primary care visit R20 Primary care visit at home @@ -4557,20 +4681,20 @@ AVOHILMO,palvelutapahtuma,"YHTEYSTAPA R55 Letter R60 Consultation R70 Patient record without contact - R90 Other" -COD_FARMACI_SPF,COD_FARMACI_SPF,cod_atc5,ATC code 5th level,,,1.0,,,,,,,,,,,, -COD_FARMACI_SPF,COD_FARMACI_SPF,cod_prestazione,10-digit AIC code,,,1.0,,,,,,,,,,,,10-digit AIC code (insert a 0 in front of the 9-digit AIC code) -COD_FARMACI_SPF,COD_FARMACI_SPF,codfarm,,,,1.0,,,,,,,,,,,, -COD_FARMACI_SPF,COD_FARMACI_SPF,descrizione,Medicinal description,,,1.0,,,,,,,,,,,,Name of the medicine followed by the information on the packaging. -COD_FARMACI_SPF,COD_FARMACI_SPF,iduni_f,Universal ID of the newborn,,,1.0,,,,,,,,,,,, -COD_FARMACI_SPF,COD_FARMACI_SPF,iduni_m,Mother identifier,,,1.0,,,,,,,,,,,, -COD_FARMACI_SPF,COD_FARMACI_SPF,titolare_aic,AIC holder,,,1.0,,,,,,,,,,,,Company name AIC holder -COD_FARMACI_SPF,COD_FARMACI_SPF,unita_posologia,Number of units included in the package,,,1.0,,,,,,,,,,,,Number of units present in the package -MBRN,MBRN_child,GASTROS,Gastroschisis,,,1.0,,,,,,,,,,,,1 = Yes -DIAGNOSTIC,DIAGNOSTIC,CLEF,Unique key (for merging with other tables),,,1.0,,,,,,,,,,,, -DIAGNOSTIC,DIAGNOSTIC,DATE_DIAG_DEB,Date of start (hospital stay / chronic disease or invalidity),,,1.0,,,,,,,,,,,, -DIAGNOSTIC,DIAGNOSTIC,DATE_DIAG_FIN,Date of end (hospital stay / chronic disease or invalidity),,,1.0,,,,,,,,,,,, -DIAGNOSTIC,DIAGNOSTIC,DATE_PRESCRI_PROCEDURE,Date of procedure prescription,,,1.0,,,,,,,,,,,, + R90 Other",False,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,cod_atc5,ATC code 5th level,,,1.0,,,,,,,,,,,,,False,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,cod_prestazione,10-digit AIC code,,,1.0,,,,,,,,,,,,10-digit AIC code (insert a 0 in front of the 9-digit AIC code),False,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,codfarm,,,,1.0,,,,,,,,,,,,,False,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,descrizione,Medicinal description,,,1.0,,,,,,,,,,,,Name of the medicine followed by the information on the packaging.,False,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,iduni_f,Universal ID of the newborn,,,1.0,,,,,,,,,,,,,False,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,iduni_m,Mother identifier,,,1.0,,,,,,,,,,,,,False,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,titolare_aic,AIC holder,,,1.0,,,,,,,,,,,,Company name AIC holder,False,,,,, +COD_FARMACI_SPF,COD_FARMACI_SPF,unita_posologia,Number of units included in the package,,,1.0,,,,,,,,,,,,Number of units present in the package,False,,,,, +MBRN,MBRN_child,GASTROS,Gastroschisis,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +DIAGNOSTIC,DIAGNOSTIC,CLEF,Unique key (for merging with other tables),,,1.0,,,,,,,,,,,,,False,,,,, +DIAGNOSTIC,DIAGNOSTIC,DATE_DIAG_DEB,Date of start (hospital stay / chronic disease or invalidity),,,1.0,,,,,,,,,,,,,False,,,,, +DIAGNOSTIC,DIAGNOSTIC,DATE_DIAG_FIN,Date of end (hospital stay / chronic disease or invalidity),,,1.0,,,,,,,,,,,,,False,,,,, +DIAGNOSTIC,DIAGNOSTIC,DATE_PRESCRI_PROCEDURE,Date of procedure prescription,,,1.0,,,,,,,,,,,,,False,,,,, DIAGNOSTIC,DIAGNOSTIC,SOURCE_DIAG,Source of DIAGNOSTIC,,,1.0,,,,,,,,,,,,"IMB = Medical repository of beneficiaries (long term diseases, work accident or occupational diseases) MCO = Medicine, surgery and obstetrics hospitalizations HAD = at home hospitalizations @@ -4588,7 +4712,7 @@ DIAGNOSTIC,DIAGNOSTIC,SOURCE_DIAG,Source of DIAGNOSTIC,,,1.0,,,,,,,,,,,,"IMB = M FPPEC = Diagnosis - main purpose (for SSR only: specifies the objective of care during the week of observation) MORPRP = Diagnosis - main morbid manifestation (for SSR only: alteration or functional/organic problem mainly taken care of during the week of observation) - See table Thesaurus (Vocabulaire SOURCE_DIAG)" + See table Thesaurus (Vocabulaire SOURCE_DIAG)",False,,,,, DIAGNOSTIC,DIAGNOSTIC,SOURCE_PROCEDURE,Source of the procedure,,,1.0,,,,,,,,,,,,"DCIR = Outpatient (not hospital) DCIR_HOSP = private hospital (in outpatient data) MCO = Medicine, surgery and osbtetrics , hospitalizations + outpatient hospital visits @@ -4598,76 +4722,72 @@ DIAGNOSTIC,DIAGNOSTIC,SOURCE_PROCEDURE,Source of the procedure,,,1.0,,,,,,,,,,,, FM = private hospital FMSTC = outpatient hospital visit A = public hospital - See table Thesaurus (Vocabulaire SOURCE_PROCEDURE)" -DIAGNOSTIC,DIAGNOSTIC,TYP_UM_HOSP,Type of authorisation of medical unit,,,1.0,,,,,,,,,,,,See table Thesaurus (Vocabulaire TYP_UM) -EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,ATC,ATC code of the medicine,,,1.0,,,,,,,,,,,,ATC -EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,CIP,Code CIP,,,1.0,,,,,,,Product code of the French market authorisation,,,,, -EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,DATE_DEL,Date of dispensing,,,1.0,,,,,,,,,,,, -EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,FORME,Galenic form,,,1.0,,,,,,,,,,,,ANNEXE 2: Dictionary for the coding of the route of administration -EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,NOM,Name of the medicine,,,1.0,,,,,,,,,,,, -EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,NUM_GROSSESSE,Pregnancy identifier,,,1.0,,,,,,,"CHUT creates this. It can be linked to the tables of the pregnancy outcome (Cf Fig. of links between tables). Pregnancies per woman included in the database are counted (one woman can have 1,2 (...) pregnancies included in EFEMERIS database. It can be useful for example for “Sibling studies”.",,,,,NUM_MERE + number of pregnancy -EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,QUANT,Number of dispensed products,,,1.0,,,,,,,Available since 2012,,,,, -EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,SPE_MEDECIN,Specialty of prescriber,,,1.0,,,,,,,,,,,,ANNEXE 1 : Dictionary for the coding of the medical speciality -EXE,EXE,CODE,Exemption code,,,1.0,,,,,,,,,,,,Italian grouping of ICD9 codes or exemption code for socio-economic status -EXE,EXE,DESCRIZIONE,Description of exemption,,,1.0,,,,,,,,,,,,Free text -EXE,EXE,END_EXE,Data fine esenzione,,,1.0,,,,,,,,,,,,Date of end exemption -EXE,EXE,ESCOM,ICD9 code of the exeption,,,1.0,,,,,,,,,,,,ICD9 -EXE,EXE,PATID,Codice identificativo paziente criptato,,,1.0,,,,,,,,,,,,Patient ID code -EXE,EXE,START_EXE,Data inizio esenzione,,,1.0,,,,,,,,,,,,Date of exemption start -FARMACEUTICA,FARMACEUTICA,AIC,Codice prodotto (AIC),,,1.0,,,,,,,,,,,,National drug code -FARMACEUTICA,FARMACEUTICA,ATC,codice ATC,,,1.0,,,,,,,,,,,,ATC code -FARMACEUTICA,FARMACEUTICA,DATADISPENSAZIONE,Data dispensazione,,,1.0,,,,,,,,,,,,Dispensing date -FARMACEUTICA,FARMACEUTICA,DATAPRESCRIZIONE,Data prescrizione,,,1.0,,,,,,,,,,,,Prescription date + See table Thesaurus (Vocabulaire SOURCE_PROCEDURE)",False,,,,, +EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,ATC,ATC code of the medicine,,,1.0,,,,,,,,,,,,ATC,False,,,,, +EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,CIP,Code CIP,,,1.0,,,,,,,Product code of the French market authorisation,,,,,,False,,,,, +EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,DATE_DEL,Date of dispensing,,,1.0,,,,,,,,,,,,,False,,,,, +EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,FORME,Galenic form,,,1.0,,,,,,,,,,,,ANNEXE 2: Dictionary for the coding of the route of administration,False,,,,, +EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,NOM,Name of the medicine,,,1.0,,,,,,,,,,,,,False,,,,, +EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,NUM_GROSSESSE,Pregnancy identifier,,,1.0,,,,,,,"CHUT creates this. It can be linked to the tables of the pregnancy outcome (Cf Fig. of links between tables). Pregnancies per woman included in the database are counted (one woman can have 1,2 (...) pregnancies included in EFEMERIS database. It can be useful for example for “Sibling studies”.",,,,,NUM_MERE + number of pregnancy,False,,,,, +EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,QUANT,Number of dispensed products,,,1.0,,,,,,,Available since 2012,,,,,,False,,,,, +EFEMERIS_PRESCRIPTION,EFEMERIS_PRESCRIPTION,SPE_MEDECIN,Specialty of prescriber,,,1.0,,,,,,,,,,,,ANNEXE 1 : Dictionary for the coding of the medical speciality,False,,,,, +EXE,EXE,CODE,Exemption code,,,1.0,,,,,,,,,,,,Italian grouping of ICD9 codes or exemption code for socio-economic status,False,,,,, +EXE,EXE,DESCRIZIONE,Description of exemption,,,1.0,,,,,,,,,,,,Free text,False,,,,, +EXE,EXE,END_EXE,Data fine esenzione,,,1.0,,,,,,,,,,,,Date of end exemption,False,,,,, +EXE,EXE,ESCOM,ICD9 code of the exeption,,,1.0,,,,,,,,,,,,ICD9,False,,,,, +EXE,EXE,PATID,Codice identificativo paziente criptato,,,1.0,,,,,,,,,,,,Patient ID code,False,,,,, +EXE,EXE,START_EXE,Data inizio esenzione,,,1.0,,,,,,,,,,,,Date of exemption start,False,,,,, +FARMACEUTICA,FARMACEUTICA,AIC,Codice prodotto (AIC),,,1.0,,,,,,,,,,,,National drug code,False,,,,, +FARMACEUTICA,FARMACEUTICA,ATC,codice ATC,,,1.0,,,,,,,,,,,,ATC code,False,,,,, +FARMACEUTICA,FARMACEUTICA,DATADISPENSAZIONE,Data dispensazione,,,1.0,,,,,,,,,,,,Dispensing date,False,,,,, +FARMACEUTICA,FARMACEUTICA,DATAPRESCRIZIONE,Data prescrizione,,,1.0,,,,,,,,,,,,Prescription date,False,,,,, FARMACEUTICA,FARMACEUTICA,FLUSSO,Distribuzione diretta o Territoriale o DPC (Distribuzione Per Conto),,,1.0,,,,,,,,,,,,"Source of data: -community pharmacies -hospital pharmacies - -community pharmacies for hospital pharmacies" -MBRN,MBRN,PERINAT_DOD_1000_WHO,Death during the perinatal period ≥ 1000 gram according to WHOs secondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,PERINAT_DOD_22_EP,Death during the perinatal period ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes + -community pharmacies for hospital pharmacies",False,,,,, +MBRN,MBRN,PERINAT_DOD_1000_WHO,Death during the perinatal period ≥ 1000 gram according to WHOs secondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PERINAT_DOD_22_EP,Death during the perinatal period ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, FARMACEUTICA,FARMACEUTICA,ICD9,ICD9,,,1.0,,,,,,,"Up to 2015 there was a project with all the GPs of the LHU Caserta, so for all adults up to that date there is an indication for about 53% of all prescriptions - After 2015 there is a different way of capturing the same information, from GPs and paediatricians and specialists: 70% of all prescriptions",,,,,"Indication of use, obtained from GP records up to 2015 and from electronic prescriptions from 2015 to present" -FARMACEUTICA,FARMACEUTICA,MEDICO,Codice medico,,,1.0,,,,,,,,,,,,Prescribing GP -FARMACEUTICA,FARMACEUTICA,PATID,Codice identificativo paziente criptato,,,1.0,,,,,,,,,,,,Patient ID code -MBRN,MBRN,ABRUPTIOP,Abruptio placentae,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,ABSTINENS,"Withdrawal symptoms in the child due to medicaments, alcohol or narcotics",,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,ANENCEPH,Anencephaly,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,ANESTESI_ANALGESI,Anaesthesia/analgesia,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,ANNEN_FRACTUR,Other fracture,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,APGAR1,Apgar score after 1 minute,,,1.0,,,,,,,,,,,,0 – 10 -MBRN,MBRN,APGAR10,Apgar score after 10 minutes,,,1.0,,,,,,,,,,,,0 – 10 -MBRN,MBRN,APGAR1_MANGLER,Apgar score after 1 minute is missing,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,APGAR5,Apgar score after 5 minutes,,,1.0,,,,,,,,,,,,0 – 10 -MBRN,MBRN,APGAR5_MANGLER,Apgar score after 5 minutes is missing,,,1.0,,,,,,,,,,,,1 = Yes + After 2015 there is a different way of capturing the same information, from GPs and paediatricians and specialists: 70% of all prescriptions",,,,,"Indication of use, obtained from GP records up to 2015 and from electronic prescriptions from 2015 to present",False,,,,, +FARMACEUTICA,FARMACEUTICA,MEDICO,Codice medico,,,1.0,,,,,,,,,,,,Prescribing GP,False,,,,, +FARMACEUTICA,FARMACEUTICA,PATID,Codice identificativo paziente criptato,,,1.0,,,,,,,,,,,,Patient ID code,False,,,,, +MBRN,MBRN,ABRUPTIOP,Abruptio placentae,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,ABSTINENS,"Withdrawal symptoms in the child due to medicaments, alcohol or narcotics",,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,ANENCEPH,Anencephaly,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,ANESTESI_ANALGESI,Anaesthesia/analgesia,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,ANNEN_FRACTUR,Other fracture,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,APGAR1,Apgar score after 1 minute,,,1.0,,,,,,,,,,,,0 – 10,False,,,,, +MBRN,MBRN,APGAR10,Apgar score after 10 minutes,,,1.0,,,,,,,,,,,,0 – 10,False,,,,, MBRN,MBRN,ART,"Assisted Reproductive Technology treatment (IVF, ICSI or other ART treatments. See ARTMETODE)",,,1.0,,,,,,,,,,,,"1 = Reported on ART notification form 2 = Art info from birth notification form (mother’s health) 3 = ART info from method of estimating delivery date (embryo transfer) - 9 = Other ART info" -MBRN,MBRN,ASTMA,Asthma,,,1.0,,,,,,,,,,,,1 = Yes + 9 = Other ART info",False,,,,, +MBRN,MBRN,ASTMA,Asthma,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN,BLODNING_0500,Hemorrhage more than 500 ml during delivery,,,1.0,,,,,,,HCP,,,,,"1 = 500-1500 ml 2 = >1500 ml, transfusion - 3 = >500 ml, unspecified amount" -MBRN,MBRN,BLODN_13_28,Vaginal bleeding: Week 13-28.,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,BLODN_E28,Vaginal bleeding: After week 28,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,BLODN_F13,Vaginal bleeding: Before week 13,,,1.0,,,,,,,,,,,,1 = Yes + 3 = >500 ml, unspecified amount",False,,,,, +MBRN,MBRN,BLODN_13_28,Vaginal bleeding: Week 13-28.,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,BLODN_E28,Vaginal bleeding: After week 28,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,BLODN_F13,Vaginal bleeding: Before week 13,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN,BOHELSEREGION_DAGENS,Mother’s health region with current regions,,,1.0,,,,,,,HCP/automated,,,,,"1 = South-East 2 = West 3 = Middle 4 = North - 9 = Unknown/Other" -MBRN,MBRN,CPAP,CPAP-treatment,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,DAAR,Child’s year of death,,,1.0,,,,,,,,,,,,Year + 9 = Unknown/Other",False,,,,, +MBRN,MBRN,CPAP,CPAP-treatment,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,DAAR,Child’s year of death,,,1.0,,,,,,,,,,,,Year,False,,,,, MBRN,MBRN,DIABETES_MELLITUS,Diabetes,,,1.0,,,,,,,,,,,,"1 = Pregestational diabetes – Type 1 2 = Pregestational diabetes – Type 2 3 = Pregestational diabetes – Unspecified / other 4 = Gestational diabetes - 5 = Antidiabetic medication during pregnancy registered without further information" + 5 = Antidiabetic medication during pregnancy registered without further information",False,,,,, MBRN,MBRN,DODFODTE_5,Previous stillbirths (from 24 weeks and later) categorized,,,1.0,,,,,,,,,,,,"0 = 0 1 = 1 2 = 2 3 = 3 - 4 = 4 or more" + 4 = 4 or more",False,,,,, MBRN,MBRN,DODKAT,"Time of death, categorized",,,1.0,,,,,,,,,,,,"0 = Live born, still alive 1 = Live born, died within 24 hours 2 = Live born, died 2.-6. day @@ -4681,19 +4801,19 @@ MBRN,MBRN,DODKAT,"Time of death, categorized",,,1.0,,,,,,,,,,,,"0 = Live born, s 10 = Abortion requiring approval (§2.3c) 11 = Live born, unknown follow-up status 12 = Live born, emigrated - 13 = Live born, registered birth certificate" -MBRN,MBRN,DOWNS,Down’s syndrome,,,1.0,,,,,,,,,,,,1 = Yes + 13 = Live born, registered birth certificate",False,,,,, +MBRN,MBRN,DOWNS,Down’s syndrome,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN,EKLAMPSI,"Eclampsia, total: - Eclampsia during pregnancy - Eclampsia during birth and/or post partum - - Unspecified eclampsia",,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,ENCEPH,Encephalocele,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,ENHETER_BLOD,Units of blood given to the mother during delivery,,,1.0,,,,,,,HCP,,,,,Integer -MBRN,MBRN,EPIDURAL,Epidural anaesthesia,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,EPILEPSI,Epilepsy,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,EPISIOTOMI,Episiotomy,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,FAAR,Year of delivery,,,1.0,,,,,,,,,,,,Year (1967- ) -MBRN,MBRN,FACIALISPARESE,Facial paresis,,,1.0,,,,,,,,,,,,1 = Yes + - Unspecified eclampsia",,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,ENCEPH,Encephalocele,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,ENHETER_BLOD,Units of blood given to the mother during delivery,,,1.0,,,,,,,HCP,,,,,Integer,False,,,,, +MBRN,MBRN,EPIDURAL,Epidural anaesthesia,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,EPILEPSI,Epilepsy,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,EPISIOTOMI,Episiotomy,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,FAAR,Year of delivery,,,1.0,,,,,,,,,,,,Year (1967- ),False,,,,, +MBRN,MBRN,FACIALISPARESE,Facial paresis,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN,FARS_ALDER_K11,Father’s age categorized,,,1.0,,,,,,,HCP/automated based on the personal ID number which always contains the persons birth date.,,,,,"1 = 17 years and younger 2 = 18 - 19 years 3 = 20 - 24 years @@ -4704,10 +4824,10 @@ MBRN,MBRN,FARS_ALDER_K11,Father’s age categorized,,,1.0,,,,,,,HCP/automated ba 8 = 45 - 49 years 9 = 50 - 54 years 10 = 55 - 59 years - 11 = 60 years and older" -MBRN,MBRN,FAR_FAAR,Father’s year of birth,,,1.0,,,,,,,HCP/automated based on the personal ID number which always contains the persons birth date.,,,,,Year -MBRN,MBRN,FDATO,Date of delivery,,,1.0,,,,,,,Difference date variable. Renamed “diff_fdato” in dataset.,,,,, -MBRN,MBRN,FLERFODSEL,"The birth is a plural birth (twins, triplet etc.)",,,1.0,,,,,,,,,,,,1 = Yes + 11 = 60 years and older",False,,,,, +MBRN,MBRN,FAR_FAAR,Father’s year of birth,,,1.0,,,,,,,HCP/automated based on the personal ID number which always contains the persons birth date.,,,,,Year,False,,,,, +MBRN,MBRN,FDATO,Date of delivery,,,1.0,,,,,,,Difference date variable. Renamed “diff_fdato” in dataset.,,,,,,False,,,,, +MBRN,MBRN,FLERFODSEL,"The birth is a plural birth (twins, triplet etc.)",,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN,FODELAND_KAT_NOR_GBD,"Mother’s country of birth in 8 categories: - Norway - The 7 Global Burden of Disease (GBD) super regions",,,1.0,,,,,,,,,,,,"0201 = Norway @@ -4717,88 +4837,88 @@ MBRN,MBRN,FODELAND_KAT_NOR_GBD,"Mother’s country of birth in 8 categories: 0205 = North Africa and Middle East 0206 = South Asia 0207 = South East Asia, East Asia and Oceania - 0208 = Latin America and Caribbean" + 0208 = Latin America and Caribbean",False,,,,, MBRN,MBRN,FODESTED_KAT_5,"Place of delivery categorized by: - Size of maternity clinic (deliveries per year) - Deliveries outside of institution",,,1.0,,,,,,,HCP/automated,,,,,"1 = 1-499 2 = 500-1499 3 = 1500-2999 4 = 3000+ - 5 = Outside of institution /Other" + 5 = Outside of institution /Other",False,,,,, MBRN,MBRN,FODT_MFR,Defined as a birth according to MBRN’s definitions,,,1.0,,,,,,,,,,,,"1 = VEKT >= 500g or SVLEN >= 22 - 2 = Live born in the national registry in Norway and not in category 1" -MBRN,MBRN,FOLATF,Folate supplements prior to pregnancy,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,FOLATU,Folate supplements during pregnancy,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,FOSTERV_MISF_STINK_INFI,"Amniotic fluid: Discoloured,malodorous,infected",,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,FOSTERV_OLIGOHYDRAMNION,Amniotic fluid: Oligohydramnios,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,FOSTERV_POLYHYDRAMNION,Amniotic fluid: Polyhydramnios,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,FRACT_CLAVICULAE,Fractura claviculae – fracture of clavicle,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,FRAMHJELP,Assisted delivery of breech / partial extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes + 2 = Live born in the national registry in Norway and not in category 1",False,,,,, +MBRN,MBRN,FOLATF,Folate supplements prior to pregnancy,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,FOLATU,Folate supplements during pregnancy,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,FOSTERV_MISF_STINK_INFI,"Amniotic fluid: Discoloured,malodorous,infected",,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,FOSTERV_OLIGOHYDRAMNION,Amniotic fluid: Oligohydramnios,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,FOSTERV_POLYHYDRAMNION,Amniotic fluid: Polyhydramnios,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,FRACT_CLAVICULAE,Fractura claviculae – fracture of clavicle,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,FRAMHJELP,Assisted delivery of breech / partial extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, MBRN,MBRN,FSTART,Initiation of delivery,,,1.0,,,,,,,HCP,,,,,"1 = Spontaneous 2 = Induction - 3 = Cesarean section" -MBRN,MBRN,GANESPALTE,Cleft palate without cleft lip,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,GASTROS,Gastroschisis,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,HELLP,HELLP,,,1.0,,,,,,,HCP,,,,,1 = Yes + 3 = Cesarean section",False,,,,, +MBRN,MBRN,GANESPALTE,Cleft palate without cleft lip,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,GASTROS,Gastroschisis,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,HELLP,HELLP,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, MBRN,MBRN,HELSEREGION,Health region,,,1.0,,,,,,,HCP/automated,,,,,"1 = South-East 2 = West 3 = Middle 4 = North - 9 = Unknown/Other" -MBRN,MBRN,HODE,Child’s head circumference,,,1.0,,,,,,,,,,,,Centimeter -MBRN,MBRN,HODE_MANGLER,Child’s head circumference is missing,,,1.0,,,,,,,Variable called “hodeom_mangler” in dataset,,,,,1 = Yes -MBRN,MBRN,HYPERTENSJON_ALENE,«Hypertension only» occured during pregnancy,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,HYPERTENSJON_KRONISK,Chronic hypertension,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,HYPOSPADIA,Hypospadias,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,ICTERUS,"Icterus, treated",,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,ID_BARN,"Record number, child",,,1.0,,,,,,,Project specific ID,,,,, -MBRN,MBRN,ID_FAR,"Record number, father",,,1.0,,,,,,,Project specific ID,,,,, -MBRN,MBRN,ID_MOR,"Record number, mother",,,1.0,,,,,,,Project specific ID,,,,, -MBRN,MBRN,INDUKSJON_AMNIOTOMI,Induction of labor: Amniotomy,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,INDUKSJON_ANNET,Induction of labor: Other methods,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,INDUKSJON_OXYTOCIN,Induction of labor: Oxytocin,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,INDUKSJON_PROSTAGLANDIN,Induction of labor: Prostaglandine,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,INTRAKRANIELL_BLODN,Intracranial hemorrhage,,,1.0,,,,,,,,,,,,1 = Yes + 9 = Unknown/Other",False,,,,, +MBRN,MBRN,HODE,Child’s head circumference,,,1.0,,,,,,,,,,,,Centimeter,False,,,,, +MBRN,MBRN,HODE_MANGLER,Child’s head circumference is missing,,,1.0,,,,,,,Variable called “hodeom_mangler” in dataset,,,,,1 = Yes,False,,,,, +MBRN,MBRN,HYPERTENSJON_ALENE,«Hypertension only» occured during pregnancy,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,HYPERTENSJON_KRONISK,Chronic hypertension,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,HYPOSPADIA,Hypospadias,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,ICTERUS,"Icterus, treated",,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,ID_BARN,"Record number, child",,,1.0,,,,,,,Project specific ID,,,,,,False,,,,, +MBRN,MBRN,ID_FAR,"Record number, father",,,1.0,,,,,,,Project specific ID,,,,,,False,,,,, +MBRN,MBRN,ID_MOR,"Record number, mother",,,1.0,,,,,,,Project specific ID,,,,,,False,,,,, +MBRN,MBRN,INDUKSJON_AMNIOTOMI,Induction of labor: Amniotomy,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,INDUKSJON_ANNET,Induction of labor: Other methods,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,INDUKSJON_OXYTOCIN,Induction of labor: Oxytocin,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,INDUKSJON_PROSTAGLANDIN,Induction of labor: Prostaglandine,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,INTRAKRANIELL_BLODN,Intracranial hemorrhage,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN,KJENT_FAR,Father is known,,,1.0,,,,,,,,,,,,"1= Yes - 2= No" + 2= No",False,,,,, MBRN,MBRN,KJONN,Child’s gender,,,1.0,,,,,,,,,,,,"0 = Not specified 1 = Male 2 = Female 3 = Uncertain - 9 = Missing" -MBRN,MBRN,KLUMPFOT,Pes equinovarus (Clubfoot),,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,KMI_FOER,Mother’s body mass index before the start of the pregnancy (BMI),,,1.0,,,,,,,Based on variables MORS_HOYDE and MORS_VEKT_FOER,,,,,Decimal -MBRN,MBRN,KMI_SLUTT,Mother’s body mass index at end of pregnancy (BMI),,,1.0,,,,,,,Based on variables MORS_HOYDE and MORS_VEKT_SLUTT,,,,,Decimal -MBRN,MBRN,PERINAT_DOD_500_WHO,Death during the perinatal period ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,PERINAT_DOD_MFR,Death during the perinatal period according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,PERINAT_DOD_TID_22_EP,Death during the early perinatal period ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes + 9 = Missing",False,,,,, +MBRN,MBRN,KLUMPFOT,Pes equinovarus (Clubfoot),,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,KMI_FOER,Mother’s body mass index before the start of the pregnancy (BMI),,,1.0,,,,,,,Based on variables MORS_HOYDE and MORS_VEKT_FOER,,,,,Decimal,False,,,,, +MBRN,MBRN,KMI_SLUTT,Mother’s body mass index at end of pregnancy (BMI),,,1.0,,,,,,,Based on variables MORS_HOYDE and MORS_VEKT_SLUTT,,,,,Decimal,False,,,,, +MBRN,MBRN,PERINAT_DOD_500_WHO,Death during the perinatal period ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PERINAT_DOD_MFR,Death during the perinatal period according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PERINAT_DOD_TID_22_EP,Death during the early perinatal period ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN,KOSTNEI,No regular supplements,,,1.0,,,,,,,,,,,,"1 = Checked “Regular supplements: No” and no other information about supplements is registered - 2 = Checked “Regular supplements: No”, but also gave information about other supplements" -MBRN,MBRN,KROMOSOMFEIL,Chromosomal abnormality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,KSNITT,Cesarean section,,,1.0,,,,,,,HCP,,,,,1 = Planned C-section 2 = Emergency C-section 9 = Unspecified C-section -MBRN,MBRN,KSNITT_PLANLAGT,Cesarean section was planned,,,1.0,,,,,,,HCP,,,,,1 = No 2 = Yes -MBRN,MBRN,KSNITT_TIDLIGERE,Mother has delivered by cesarean section in a previous pregnancy,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,KSNITT_TIDLIGERE_MFR,Mother has previous cesarean section registered in MBRN,,,1.0,,,,,,,HCP/registry,,,,,1 = Yes -MBRN,MBRN,LEGEMIDLER_UNDER,Medication during pregnancy,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable. + 2 = Checked “Regular supplements: No”, but also gave information about other supplements",False,,,,, +MBRN,MBRN,KROMOSOMFEIL,Chromosomal abnormality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,KSNITT,Cesarean section,,,1.0,,,,,,,HCP,,,,,1 = Planned C-section 2 = Emergency C-section 9 = Unspecified C-section,False,,,,, +MBRN,MBRN,KSNITT_PLANLAGT,Cesarean section was planned,,,1.0,,,,,,,HCP,,,,,1 = No 2 = Yes,False,,,,, +MBRN,MBRN,KSNITT_TIDLIGERE,Mother has delivered by cesarean section in a previous pregnancy,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,KSNITT_TIDLIGERE_MFR,Mother has previous cesarean section registered in MBRN,,,1.0,,,,,,,HCP/registry,,,,,1 = Yes,False,,,,, +MBRN,MBRN,LEGEMIDLER_UNDER,Medication during pregnancy,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable.,False,,,,, MBRN,MBRN,LEIE,Child’s presentation/position at birth,,,1.0,,,,,,,HCP,,,,,"1 = Normal cephalic 2 = Breech 3 = Transverse 4 = Cephalic, abnormal - 5 = Other" + 5 = Other",False,,,,, MBRN,MBRN,LENGDE,"Child’s full length - For some cases with MELDINGSTYPEID=10 crown-rump length is used.",,,1.0,,,,,,,,,,,,Centimeter -MBRN,MBRN,LENGDE_MANGLER,Child’s length is missing,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,SETE_ISSE,Child’s crown-rump length,,,1.0,,,,,,,,,,,,Centimeter -MBRN,MBRN,LEPPE_LEPPEGANESPALTE,Cleft lip with or without cleft palate,,,1.0,,,,,,,,,,,,1 = Yes + For some cases with MELDINGSTYPEID=10 crown-rump length is used.",,,1.0,,,,,,,,,,,,Centimeter,False,,,,, +MBRN,MBRN,LENGDE_MANGLER,Child’s length is missing,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,SETE_ISSE,Child’s crown-rump length,,,1.0,,,,,,,,,,,,Centimeter,False,,,,, +MBRN,MBRN,LEPPE_LEPPEGANESPALTE,Cleft lip with or without cleft palate,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN,LEVENDEFODTE_5,Previous live births categorized,,,1.0,,,,,,,,,,,,"0 = 0 1 = 1 2 = 2 3 = 3 - 4 = 4 or more" -MBRN,MBRN,LIGGEDOGN_MOR,"Days in hospital, mother",,,1.0,,,,,,,,,,,,Integer -MBRN,MBRN,MANUELL_PLACENTA,Placenta: Manual extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,MISD,Congenital malformations,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,MORS_ALDER,Mother’s age at time of delivery,,,1.0,,,,,,,HCP/automated Based on the personal ID number which always contains the persons birth date.,,,,,Integer + 4 = 4 or more",False,,,,, +MBRN,MBRN,LIGGEDOGN_MOR,"Days in hospital, mother",,,1.0,,,,,,,,,,,,Integer,False,,,,, +MBRN,MBRN,MANUELL_PLACENTA,Placenta: Manual extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,MISD,Congenital malformations,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,MORS_ALDER,Mother’s age at time of delivery,,,1.0,,,,,,,HCP/automated Based on the personal ID number which always contains the persons birth date.,,,,,Integer,False,,,,, MBRN,MBRN,MORS_ALDER_K8,Mother’s age categorized,,,1.0,,,,,,,HCP/automated Based on the personal ID number which always contains the persons birth date.,,,,,"1 = 17 years and younger 2 = 18 – 19 years 3 = 20 – 24 years @@ -4806,110 +4926,111 @@ MBRN,MBRN,MORS_ALDER_K8,Mother’s age categorized,,,1.0,,,,,,,HCP/automated Bas 5 = 30 – 34 years 6 = 35 – 39 years 7 = 40 – 44 years - 8 = 45 years and older" -MBRN,MBRN,MORS_HELSE_FOER,Mother’s health prior to pregnancy,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable. -MBRN,MBRN,MORS_HELSE_UNDER,Mother’s health during pregnancy,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable. -MBRN,MBRN,MORS_HOYDE,Mother’s height,,,1.0,,,,,,,"Could be either measured or patient-reported, recorded by HCP",,,,,Centimeter -MBRN,MBRN,MORS_VEKT_FOER,Mother’s weight before pregnancy,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration,,,,,Kg -MBRN,MBRN,MORS_VEKT_SLUTT,Mother’s weight at end of pregnancy,,,1.0,,,,,,,"Could be either measured or patient-reported, recorded by HCP. Reporting to the registry is not mandatory. Missing values represent women who opt out of registration",,,,,Kg + 8 = 45 years and older",False,,,,, +MBRN,MBRN,MORS_HELSE_FOER,Mother’s health prior to pregnancy,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable.,False,,,,, +MBRN,MBRN,MORS_HELSE_UNDER,Mother’s health during pregnancy,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable.,False,,,,, +MBRN,MBRN,MORS_HOYDE,Mother’s height,,,1.0,,,,,,,"Could be either measured or patient-reported, recorded by HCP",,,,,Centimeter,False,,,,, +MBRN,MBRN,MORS_VEKT_FOER,Mother’s weight before pregnancy,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration,,,,,Kg,False,,,,, +MBRN,MBRN,MORS_VEKT_SLUTT,Mother’s weight at end of pregnancy,,,1.0,,,,,,,"Could be either measured or patient-reported, recorded by HCP. Reporting to the registry is not mandatory. Missing values represent women who opt out of registration",,,,,Kg,False,,,,, MBRN,MBRN,MOR_BOSATT_NO,Mother reside in Norway at time of delivery,,,1.0,,,,,,,,,,,,"1 = Yes 2 = No - 3 = Unknown" -MBRN,MBRN,MOR_FAAR,Mother’s year of birth,,,1.0,,,,,,,HCP/automated,,,,,Year -MBRN,MBRN,MULTIVITF,Multivitamin supplements prior to pregnancy,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,MULTIVITU,Multivitamin supplements during pregnancy,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,Microcephaly,,,,1.0,,,,,,,ICD10 code Q02. To be included in the next data delivery Q3 2021,,,,, -MBRN,MBRN,NARKOSE,General anaesthesia,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,NAVLESNOR_KOMPL,Umbilical cord: Complications,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,NEVRALRORSDEFEKTER,"Anencephaly, Encephalocele or Spina bifida",,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,NYRESYKDOM_KRONISK,Chronic renal disease,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,OMPHALO,Omphalocele,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,OVERFLYTTET,Child was transfered to neonatal ward,,,1.0,,,,,,,,,,,,1 = Yes 2 = No + 3 = Unknown",False,,,,, +MBRN,MBRN,MOR_FAAR,Mother’s year of birth,,,1.0,,,,,,,HCP/automated,,,,,Year,False,,,,, +MBRN,MBRN,MULTIVITF,Multivitamin supplements prior to pregnancy,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,MULTIVITU,Multivitamin supplements during pregnancy,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,Microcephaly,,,,1.0,,,,,,,ICD10 code Q02. To be included in the next data delivery Q3 2021,,,,,,False,,,,, +MBRN,MBRN,NARKOSE,General anaesthesia,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,NAVLESNOR_KOMPL,Umbilical cord: Complications,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,NEVRALRORSDEFEKTER,"Anencephaly, Encephalocele or Spina bifida",,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,NYRESYKDOM_KRONISK,Chronic renal disease,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,OMPHALO,Omphalocele,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,OVERFLYTTET,Child was transfered to neonatal ward,,,1.0,,,,,,,,,,,,1 = Yes 2 = No,False,,,,, MBRN,MBRN,PARITET_5,Parity categorized,,,1.0,,,,,,,,,,,,"0 = 0 (primiparous) 1 = 1 2 = 2 3 = 3 - 4 = 4 or more" -MBRN,MBRN,PCO2_NAVLESNORARTERIE,PCO2 umbilical cord artery,,,1.0,,,,,,,HCP,,,,,PCO2-value -MBRN,MBRN,PCO2_NAVLESNORVENE,PCO2 umbilical cord vein,,,1.0,,,,,,,HCP,,,,,PCO2-value -MBRN,MBRN,PERINAT_DODFODT_22_EP,Perinatal stillborn ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,PERINAT_DODFODT_MFR,Perinatal stillborn according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,PERINAT_DOD_TID_MFR,Death during the early perinatal period according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,PERINAT_DOD_TI_1000_WHO,Death during the early perinatal period ≥ 1000 gram according to WHOssecondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,APGAR5,Apgar score after 5 minutes,,,1.0,,,,,,,,,,,,0 – 10 -MBRN,MBRN,PERINAT_DOD_TI_500_WHO,Death during the early perinatal period ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,PERINAT_FODT_1000_WHO,Perinatal born ≥ 1000 gram according to WHOs secondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,PERINAT_FODT_22_EP,Perinatal born ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,PERINAT_FODT_500_WHO,Perinatal born ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,PERINAT_FODT_MFR,Perinatal born according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,PH_NAVLESNORARTERIE,PH umbilical cord artery,,,1.0,,,,,,,HCP,,,,,PH-value -MBRN,MBRN,PH_NAVLESNORVENE,PH umbilical cord vein,,,1.0,,,,,,,HCP,,,,,PH-value -MBRN,MBRN,PLACENTA _PREVIA,Placenta previa,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,PLACENTAVEKT,Weight of placenta,,,1.0,,,,,,,HCP,,,,,Gram -MBRN,MBRN,PLEXUSSKADE,Plexus injury,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,PLURAL,Plurality: Number of children born,,,1.0,,,,,,,,,,,,Integer -MBRN,MBRN,PLUREK,"Child’s birth order in the present delivery (the variable is set in all children, but is mainly relevant in multiple births)",,,1.0,,,,,,,,,,,,Integer + 4 = 4 or more",False,,,,, +MBRN,MBRN,PCO2_NAVLESNORARTERIE,PCO2 umbilical cord artery,,,1.0,,,,,,,HCP,,,,,PCO2-value,False,,,,, +MBRN,MBRN,PCO2_NAVLESNORVENE,PCO2 umbilical cord vein,,,1.0,,,,,,,HCP,,,,,PCO2-value,False,,,,, +MBRN,MBRN_child,KROMOSOMFEIL,Chromosomal abnormality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PERINAT_DODFODT_22_EP,Perinatal stillborn ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PERINAT_DODFODT_MFR,Perinatal stillborn according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PERINAT_DOD_TID_MFR,Death during the early perinatal period according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PERINAT_DOD_TI_1000_WHO,Death during the early perinatal period ≥ 1000 gram according to WHOssecondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,APGAR5,Apgar score after 5 minutes,,,1.0,,,,,,,,,,,,0 – 10,False,,,,, +MBRN,MBRN,PERINAT_DOD_TI_500_WHO,Death during the early perinatal period ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PERINAT_FODT_1000_WHO,Perinatal born ≥ 1000 gram according to WHOs secondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PERINAT_FODT_22_EP,Perinatal born ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PERINAT_FODT_500_WHO,Perinatal born ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PERINAT_FODT_MFR,Perinatal born according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PH_NAVLESNORARTERIE,PH umbilical cord artery,,,1.0,,,,,,,HCP,,,,,PH-value,False,,,,, +MBRN,MBRN,PH_NAVLESNORVENE,PH umbilical cord vein,,,1.0,,,,,,,HCP,,,,,PH-value,False,,,,, +MBRN,MBRN,PLACENTA _PREVIA,Placenta previa,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PLACENTAVEKT,Weight of placenta,,,1.0,,,,,,,HCP,,,,,Gram,False,,,,, +MBRN,MBRN,PLEXUSSKADE,Plexus injury,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PLURAL,Plurality: Number of children born,,,1.0,,,,,,,,,,,,Integer,False,,,,, +MBRN,MBRN,PLUREK,"Child’s birth order in the present delivery (the variable is set in all children, but is mainly relevant in multiple births)",,,1.0,,,,,,,,,,,,Integer,False,,,,, MBRN,MBRN,PREEKL,Preeclampsia,,,1.0,,,,,,,HCP,,,,,"1 = Light 2 = Serious - 3 = Unspecified" -MBRN,MBRN,PREEKLTIDL,Early preeclampsia,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,PRENAT_DIAGNOSTIKK_UTF,Prenatal diagnostics performed,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,PRENAT_DIAG_TYPE,Prenatal diagnostics: Type,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable. -MBRN,MBRN,RESPIRATOR,Respiratory treatment,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,RESPIRATORISK_DISTR,Respiratory distress syndrome,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,REUM_ARTRITT,Rheumatoid arthritis,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,ROBSON_10,Birth classification according to the Robson 10-group classification system,,,1.0,,,,,,,HCP. See table Robson-10 p. 23. See also: WHO | Robson Classification: Implementation Manual,,,,, + 3 = Unspecified",False,,,,, +MBRN,MBRN,PREEKLTIDL,Early preeclampsia,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PRENAT_DIAGNOSTIKK_UTF,Prenatal diagnostics performed,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,PRENAT_DIAG_TYPE,Prenatal diagnostics: Type,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable.,False,,,,, +MBRN,MBRN,RESPIRATOR,Respiratory treatment,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,RESPIRATORISK_DISTR,Respiratory distress syndrome,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,REUM_ARTRITT,Rheumatoid arthritis,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,ROBSON_10,Birth classification according to the Robson 10-group classification system,,,1.0,,,,,,,HCP. See table Robson-10 p. 23. See also: WHO | Robson Classification: Implementation Manual,,,,,,False,,,,, MBRN,MBRN,ROYK_AVSL,Smoking at end of pregnancy,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration,,,,,"1 = No 2 = Sometimes - 3 = Daily" -MBRN,MBRN,ROYK_AVSL_ANT,Number of cigarettes per day at end of pregnancy,,,1.0,,,,,,,,,,,,0 – 99 + 3 = Daily",False,,,,, +MBRN,MBRN,ROYK_AVSL_ANT,Number of cigarettes per day at end of pregnancy,,,1.0,,,,,,,,,,,,0 – 99,False,,,,, MBRN,MBRN,ROYK_BEG,Smoking at start of pregnancy,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration,,,,,"1 = No 2 = Sometimes - 3 = Daily" -MBRN,MBRN,ROYK_BEG_ANT,Number of cigarettes per day at start of pregnancy,,,1.0,,,,,,,,,,,,0 – 99 + 3 = Daily",False,,,,, +MBRN,MBRN,ROYK_BEG_ANT,Number of cigarettes per day at start of pregnancy,,,1.0,,,,,,,,,,,,0 – 99,False,,,,, MBRN,MBRN,ROYK_FOER,Smoking before pregnancy,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration,,,,,"1 = No 2 = Sometimes - 3 = Daily" -MBRN,MBRN,ROYK_FOER_ANT,Number of cigarettes per day before pregnancy,,,1.0,,,,,,,,,,,,0-99 -MBRN,MBRN,ROYK_MOTSETTER_SEG,Refuses registration of smoking habits,,,1.0,,,,,,,,,,,,1 = Yes 2 = No -MBRN,MBRN,ROYK_OPPL,Smoking information available,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,ROYK_SKRIFT_ORIENT,Written information on smoking registration is given (see ROYK_MOTSETTER SEG),,,1.0,,,,,,,,,,,,1 = Yes 2 = No -MBRN,MBRN,RUPTUR34,"Perineal rupture, 3.-4. degree",,,1.0,,,,,,,HCP,,,,,1 = Yes + 3 = Daily",False,,,,, +MBRN,MBRN,ROYK_FOER_ANT,Number of cigarettes per day before pregnancy,,,1.0,,,,,,,,,,,,0-99,False,,,,, +MBRN,MBRN,ROYK_MOTSETTER_SEG,Refuses registration of smoking habits,,,1.0,,,,,,,,,,,,1 = Yes 2 = No,False,,,,, +MBRN,MBRN,ROYK_OPPL,Smoking information available,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,ROYK_SKRIFT_ORIENT,Written information on smoking registration is given (see ROYK_MOTSETTER SEG),,,1.0,,,,,,,,,,,,1 = Yes 2 = No,False,,,,, +MBRN,MBRN,RUPTUR34,"Perineal rupture, 3.-4. degree",,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, MBRN,MBRN,SIVST,Mother’s marital status at time of delivery,,,1.0,,,,,,,,,,,,"1 = Married / Registered partner 2 = Co-habitant 3 = Unmarried / Single 4 = Divorced / Separated / Widow - 9 = Other / Missing" + 9 = Other / Missing",False,,,,, MBRN,MBRN,SLEKTF,Familial relations between parents,,,1.0,,,,,,,,,,,,"1 = Not related 2 = Closer than first cousins 3 = First cousins 4 = Second cousins 5 = Other - 6 = Unknown" -MBRN,MBRN,SMENSD,1st day of last menstrual period,,,1.0,,,,,,,Difference date variable. Renamed “diff_smensd” in dataset,,,,,Date + 6 = Unknown",False,,,,, +MBRN,MBRN,SMENSD,1st day of last menstrual period,,,1.0,,,,,,,Difference date variable. Renamed “diff_smensd” in dataset,,,,,Date,False,,,,, MBRN,MBRN,SMENSD_KODE,Reliability of 1st day of last menstrual period,,,1.0,,,,,,,,,,,,"1 = Certain 2 = Uncertain 3 = Irregular - 4 = Unknown" + 4 = Unknown",False,,,,, MBRN,MBRN,SPABORT_12_5,Previous miscarriages before 12 weeks of gestation categorized,,,1.0,,,,,,,,,,,,"0 = 0 1 = 1 2 = 2 3 = 3 - 4 = 4 or more" + 4 = 4 or more",False,,,,, MBRN,MBRN,SPABORT_23_5,Previous miscarriages/stillbirths 12-23 weeks of gestation categorized,,,1.0,,,,,,,,,,,,"0 = 0 1 = 1 2 = 2 3 = 3 - 4 = 4 or more" -MBRN,MBRN,SPINAL,Spinal anaesthesia,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,SVLEN,"Length of gestation based on ultrasound estimation. If ultrasound is not available, the gestational length is calculated from the last menstrual period",,,1.0,,,,,,,HCP/automated,,,,,Number of completed weeks -MBRN,MBRN,SVLEN_ART,Length of gestation calculated from date of embryo transfer,,,1.0,,,,,,,HCP/automated,,,,,Number of completed weeks -MBRN,MBRN,SVLEN_ART_DG,Length of gestation calculated from date of embryo transfer,,,1.0,,,,,,,HCP/automated,,,,,Days + 4 = 4 or more",False,,,,, +MBRN,MBRN,SPINAL,Spinal anaesthesia,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,SVLEN,"Length of gestation based on ultrasound estimation. If ultrasound is not available, the gestational length is calculated from the last menstrual period",,,1.0,,,,,,,HCP/automated,,,,,Number of completed weeks,False,,,,, +MBRN,MBRN,SVLEN_ART,Length of gestation calculated from date of embryo transfer,,,1.0,,,,,,,HCP/automated,,,,,Number of completed weeks,False,,,,, +MBRN,MBRN,SVLEN_ART_DG,Length of gestation calculated from date of embryo transfer,,,1.0,,,,,,,HCP/automated,,,,,Days,False,,,,, MBRN,MBRN,SVLEN_DG,"Length of gestation in days. - See SVLEN for details",,,1.0,,,,,,,HCP/automated,,,,,Days -MBRN,MBRN,SVLEN_SM_DG,Length of gestation calculated from the last menstrual period,,,1.0,,,,,,,Automated based on patient reported 1st day of last menstrual period,,,,,Days -MBRN,MBRN,SVLEN_UL_DG,Length of gestation based on ultrasound estimations,,,1.0,,,,,,,HCP/automated,,,,,Days -MBRN,MBRN,SYSTEMISKANTIBIOTIKA,Treated with systemic antibiotics,,,1.0,,,,,,,,,,,,1 = Yes + See SVLEN for details",,,1.0,,,,,,,HCP/automated,,,,,Days,False,,,,, +MBRN,MBRN,SVLEN_SM_DG,Length of gestation calculated from the last menstrual period,,,1.0,,,,,,,Automated based on patient reported 1st day of last menstrual period,,,,,Days,False,,,,, +MBRN,MBRN,SVLEN_UL_DG,Length of gestation based on ultrasound estimations,,,1.0,,,,,,,HCP/automated,,,,,Days,False,,,,, +MBRN,MBRN,SYSTEMISKANTIBIOTIKA,Treated with systemic antibiotics,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN,TERMINMETODE,Method for estimating expected date of delivery,,,1.0,,,,,,,HCP,,,,,"1 = Ultrasound – “Terminhjulet” 2 = Ultrasound – “eSnurra” 3 = Ultrasound – Other @@ -4917,35 +5038,32 @@ MBRN,MBRN,TERMINMETODE,Method for estimating expected date of delivery,,,1.0,,,, 5 = Naegels rule 6 = Ultrasound upspecified 7 = Ultrasound is not performed - 99 = Other" -MBRN,MBRN,UL_TERMIN,Ultrasound estimated date of delivery,,,1.0,,,,,,,HCP. Difference date variable. Renamed diff_ul_termin in dataset.,,,,,Date -MBRN,MBRN,UTSKRAPING,Placenta: Curettage,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,UTTREKKING,Total breech extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,VAGINAL,Vaginal delivery,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN,VAKUUM,Vacuum extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes + 99 = Other",False,,,,, +MBRN,MBRN,UL_TERMIN,Ultrasound estimated date of delivery,,,1.0,,,,,,,HCP. Difference date variable. Renamed diff_ul_termin in dataset.,,,,,Date,False,,,,, +MBRN,MBRN,UTSKRAPING,Placenta: Curettage,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,UTTREKKING,Total breech extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,VAGINAL,Vaginal delivery,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN,VAKUUM,Vacuum extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, MBRN,MBRN,VANNAVGANG,Premature rupture of membranes,,,1.0,,,,,,,"If the rupture of the membranes take place in the woman’s home, the variable will rely on patient report, if during hospitalisation, exact time is noted by HCP",,,,,"1 = 12-24 hours before delivery 2 = More than 24 hours before delivery - 3 = Unspecified time before delivery" -MBRN,MBRN,VEKT,Child’s weight,,,1.0,,,,,,,,,,,,Gram -MBRN,MBRN,VEKT_MANGLER,Child’s weight is missing,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN,YRKE_KODE,Employed,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration. See next variable.,,,,,"1 = Not employed - 2 = Employed, full-time - 3 = Employed, part-time" -MBRN,MBRN,YRKE_MOTSETTER_SEG,Does not consent to provide information about occupation,,,1.0,,,,,,,,,,,,1 = Yes 2 = No -MBRN,MBRN,ZSCORE_BW_GA,"Raw z_score based on child’s weight, length of gestation and gender",,,1.0,,,,,,,HCP/automated,,,,,Decimal -MBRN,MBRN_child,ABSTINENS,"Withdrawal symptoms in the child due to medicaments, alcohol or narcotics",,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,ANENCEPH,Anencephaly,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,ANNEN_FRACTUR,Other fracture,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,APGAR1,Apgar score after 1 minute,,,1.0,,,,,,,,,,,,0 – 10 -MBRN,MBRN_child,APGAR10,Apgar score after 10 minutes,,,1.0,,,,,,,,,,,,0 – 10 -MBRN,MBRN_child,APGAR1_MANGLER,Apgar score after 1 minute is missing,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,APGAR5_MANGLER,Apgar score after 5 minutes is missing,,,1.0,,,,,,,,,,,,1 = Yes + 3 = Unspecified time before delivery",False,,,,, +MBRN,MBRN,VEKT,Child’s weight,,,1.0,,,,,,,,,,,,Gram,False,,,,, +MBRN,MBRN,VEKT_MANGLER,Child’s weight is missing,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN,YRKE_MOTSETTER_SEG,Does not consent to provide information about occupation,,,1.0,,,,,,,,,,,,1 = Yes 2 = No,False,,,,, +MBRN,MBRN,ZSCORE_BW_GA,"Raw z_score based on child’s weight, length of gestation and gender",,,1.0,,,,,,,HCP/automated,,,,,Decimal,False,,,,, +MBRN,MBRN_child,ABSTINENS,"Withdrawal symptoms in the child due to medicaments, alcohol or narcotics",,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,ANENCEPH,Anencephaly,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,ANNEN_FRACTUR,Other fracture,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,APGAR1,Apgar score after 1 minute,,,1.0,,,,,,,,,,,,0 – 10,False,,,,, +MBRN,MBRN_child,APGAR10,Apgar score after 10 minutes,,,1.0,,,,,,,,,,,,0 – 10,False,,,,, +MBRN,MBRN_child,APGAR1_MANGLER,Apgar score after 1 minute is missing,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,APGAR5_MANGLER,Apgar score after 5 minutes is missing,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN_child,ART,"Assisted Reproductive Technology treatment (IVF, ICSI or other ART treatments. See ARTMETODE)",,,1.0,,,,,,,,,,,,"1 = Reported on ART notification form 2 = Art info from birth notification form (mother’s health) 3 = ART info from method of estimating delivery date (embryo transfer) - 9 = Other ART info" -MBRN,MBRN_child,CPAP,CPAP-treatment,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,DAAR,Child’s year of death,,,1.0,,,,,,,,,,,,Year + 9 = Other ART info",False,,,,, +MBRN,MBRN_child,CPAP,CPAP-treatment,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,DAAR,Child’s year of death,,,1.0,,,,,,,,,,,,Year,False,,,,, MBRN,MBRN_child,DODKAT,"Time of death, categorized",,,1.0,,,,,,,,,,,,"0 = Live born, still alive 1 = Live born, died within 24 hours 2 = Live born, died 2.-6. day @@ -4959,105 +5077,112 @@ MBRN,MBRN_child,DODKAT,"Time of death, categorized",,,1.0,,,,,,,,,,,,"0 = Live b 10 = Abortion requiring approval (§2.3c) 11 = Live born, unknown follow-up status 12 = Live born, emigrated - 13 = Live born, registered birth certificate" -MBRN,MBRN_child,DOWNS,Down’s syndrome,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,ENCEPH,Encephalocele,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,FAAR,Year of delivery,,,1.0,,,,,,,,,,,,Year (1967- ) -MBRN,MBRN_child,FACIALISPARESE,Facial paresis,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,FDATO,Date of delivery,,,1.0,,,,,,,Difference date variable. Renamed “diff_fdato” in dataset.,,,,, -MBRN,MBRN_child,FDATO_BARN_STR,Fictional birthdate of the child,,,1.0,,,,,,,,,,,, -MBRN,MBRN_child,FDATO_FAR,Fictional birthdate of the father,,,1.0,,,,,,,,,,,, -MBRN,MBRN_child,FDATO_MOR,Fictional birthdate of the mother,,,1.0,,,,,,,,,,,, -MBRN,MBRN_child,FLERFODSEL,"The birth is a plural birth (twins, triplet etc.)",,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_mother,PLACENTA _PREVIA,Placenta previa,,,1.0,,,,,,,HCP,,,,,1 = Yes + 13 = Live born, registered birth certificate",False,,,,, +MBRN,MBRN_child,DOWNS,Down’s syndrome,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,ENCEPH,Encephalocele,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,FAAR,Year of delivery,,,1.0,,,,,,,,,,,,Year (1967- ),False,,,,, +MBRN,MBRN_child,FACIALISPARESE,Facial paresis,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,FDATO,Date of delivery,,,1.0,,,,,,,Difference date variable. Renamed “diff_fdato” in dataset.,,,,,,False,,,,, +MBRN,MBRN_child,FDATO_BARN_STR,Fictional birthdate of the child,,,1.0,,,,,,,,,,,,,False,,,,, +MBRN,MBRN_child,FDATO_FAR,Fictional birthdate of the father,,,1.0,,,,,,,,,,,,,False,,,,, +MBRN,MBRN_child,FDATO_MOR,Fictional birthdate of the mother,,,1.0,,,,,,,,,,,,,False,,,,, +MBRN,MBRN_child,FLERFODSEL,"The birth is a plural birth (twins, triplet etc.)",,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,PLACENTA _PREVIA,Placenta previa,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, MBRN,MBRN_child,FODT_MFR,Defined as a birth according to MBRN’s definitions,,,1.0,,,,,,,,,,,,"1 = VEKT >= 500g or SVLEN >= 22 - 2 = Live born in the national registry in Norway and not in category 1" -MBRN,MBRN_child,FRACT_CLAVICULAE,Fractura claviculae – fracture of clavicle,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,GANESPALTE,Cleft palate without cleft lip,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,HJERTE_MISD,Heart malformation,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,HODE,Child’s head circumference,,,1.0,,,,,,,,,,,,Centimeter -MBRN,MBRN_child,HODE_MANGLER,Child’s head circumference is missing,,,1.0,,,,,,,Variable called “hodeom_mangler” in dataset,,,,,1 = Yes -MBRN,MBRN_child,HYPOSPADIA,Hypospadias,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,ICTERUS,"Icterus, treated",,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,INTRAKRANIELL_BLODN,Intracranial hemorrhage,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,KLUMPFOT,Pes equinovarus (Clubfoot),,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,KROMOSOMFEIL,Chromosomal abnormality,,,1.0,,,,,,,,,,,,1 = Yes + 2 = Live born in the national registry in Norway and not in category 1",False,,,,, +MBRN,MBRN_child,FRACT_CLAVICULAE,Fractura claviculae – fracture of clavicle,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,GANESPALTE,Cleft palate without cleft lip,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,HJERTE_MISD,Heart malformation,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,HODE,Child’s head circumference,,,1.0,,,,,,,,,,,,Centimeter,False,,,,, +MBRN,MBRN_child,HODE_MANGLER,Child’s head circumference is missing,,,1.0,,,,,,,Variable called “hodeom_mangler” in dataset,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,HYPOSPADIA,Hypospadias,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,ICTERUS,"Icterus, treated",,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,INTRAKRANIELL_BLODN,Intracranial hemorrhage,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,KLUMPFOT,Pes equinovarus (Clubfoot),,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN_child,LENGDE,"Child’s full length - For some cases with MELDINGSTYPEID=10 crown-rump length is used.",,,1.0,,,,,,,,,,,,Centimeter + For some cases with MELDINGSTYPEID=10 crown-rump length is used.",,,1.0,,,,,,,,,,,,Centimeter,False,,,,, MBRN,MBRN_child,LENGDE_MANGLER,Child’s length is missing,,,1.0,,,,,,,,,,,,"0= No - 1 = Yes" -MBRN,MBRN_child,LEPPE_LEPPEGANESPALTE,Cleft lip with or without cleft palate,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,LIGGEDOGN_MOR,"Days in hospital, mother",,,1.0,,,,,,,,,,,,Integer -MBRN,MBRN_child,MISD,Congenital malformations,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,Microcephaly,,,,1.0,,,,,,,ICD10 code Q02. To be included in the next data delivery Q3 2021,,,,, -MBRN,MBRN_child,NEVRALRORSDEFEKTER,"Anencephaly, Encephalocele or Spina bifida",,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,OMPHALO,Omphalocele,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,OVERFLYTTET,Child was transfered to neonatal ward,,,1.0,,,,,,,,,,,,1 = Yes 2 = No -MBRN,MBRN_child,PERINAT_DODFODT_22_EP,Perinatal stillborn ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_DODFODT_MFR,Perinatal stillborn according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_DODFOD_1000_WHO,Perinatal stillborn ≥ 1000 gram according to WHOs secondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_DODFOD_500_WHO,Perinatal stillborn ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_DOD_1000_WHO,Death during the perinatal period ≥ 1000 gram according to WHOs secondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_DOD_22_EP,Death during the perinatal period ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_DOD_500_WHO,Death during the perinatal period ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_DOD_MFR,Death during the perinatal period according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes + 1 = Yes",False,,,,, +MBRN,MBRN_child,LEPPE_LEPPEGANESPALTE,Cleft lip with or without cleft palate,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,LIGGEDOGN_MOR,"Days in hospital, mother",,,1.0,,,,,,,,,,,,Integer,False,,,,, +MBRN,MBRN_child,MISD,Congenital malformations,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,Microcephaly,,,,1.0,,,,,,,ICD10 code Q02. To be included in the next data delivery Q3 2021,,,,,,False,,,,, +MBRN,MBRN_child,NEVRALRORSDEFEKTER,"Anencephaly, Encephalocele or Spina bifida",,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,OMPHALO,Omphalocele,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,OVERFLYTTET,Child was transfered to neonatal ward,,,1.0,,,,,,,,,,,,1 = Yes 2 = No,False,,,,, +MBRN,MBRN_child,PERINAT_DODFODT_22_EP,Perinatal stillborn ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_DODFODT_MFR,Perinatal stillborn according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_DODFOD_1000_WHO,Perinatal stillborn ≥ 1000 gram according to WHOs secondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_DODFOD_500_WHO,Perinatal stillborn ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_DOD_1000_WHO,Death during the perinatal period ≥ 1000 gram according to WHOs secondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_DOD_22_EP,Death during the perinatal period ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_DOD_500_WHO,Death during the perinatal period ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_DOD_MFR,Death during the perinatal period according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN_mother,BOHELSEREGION_DAGENS,Mother’s health region with current regions,,,1.0,,,,,,,HCP/automated,,,,,"1 = South-East 2 = West 3 = Middle - 4 = North" -MBRN,MBRN_child,PERINAT_DOD_TID_22_EP,Death during the early perinatal period ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_DOD_TID_MFR,Death during the early perinatal period according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_DOD_TI_1000_WHO,Death during the early perinatal period ≥ 1000 gram according to WHOssecondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_DOD_TI_500_WHO,Death during the early perinatal period ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_FODT_1000_WHO,Perinatal born ≥ 1000 gram according to WHOs secondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_FODT_22_EP,Perinatal born ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_FODT_500_WHO,Perinatal born ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PERINAT_FODT_MFR,Perinatal born according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PLEXUSSKADE,Plexus injury,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,PLURAL,Plurality: Number of children born,,,1.0,,,,,,,,,,,,Integer -MBRN,MBRN_child,PLUREK,"Child’s birth order in the present delivery (the variable is set in all children, but is mainly relevant in multiple births)",,,1.0,,,,,,,,,,,,Integer -MBRN,MBRN_child,RESPIRATOR,Respiratory treatment,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,RESPIRATORISK_DISTR,Respiratory distress syndrome,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,SETE_ISSE,Child’s crown-rump length,,,1.0,,,,,,,,,,,,Centimeter -MBRN,MBRN_child,SPINAB,Spina bifida,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,SYSTEMISKANTIBIOTIKA,Treated with systemic antibiotics,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_child,VEKT,Child’s weight,,,1.0,,,,,,,,,,,,Gram -MBRN,MBRN_child,VEKT_MANGLER,Child’s weight is missing,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_mother,ABRUPTIOP,Abruptio placentae,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,ANESTESI_ANALGESI,Anaesthesia/analgesia,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,ASTMA,Asthma,,,1.0,,,,,,,,,,,,1 = Yes + 4 = North",False,,,,, +MBRN,MBRN_child,PERINAT_DOD_TID_22_EP,Death during the early perinatal period ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_DOD_TID_MFR,Death during the early perinatal period according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_DOD_TI_1000_WHO,Death during the early perinatal period ≥ 1000 gram according to WHOssecondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,EPILEPSI,Epilepsy,,,1.0,,,,,,,,,,,,"1 = Persistent epilepsy + 2= Previois epilepsy + 9= Unspecified epilepsy",False,,,,, +OOM,EUROCAT,sex,,,,2.2,,,,,,true,"SEX +Indicate chromosomal sex, if known, in case of ambiguous genitalia and code malformations in variables 29-44. + +Indicate indeterminate sex in case of ambiguous genitalia with unknown or abnormal sex chromosome complement. + +If sex could not be determined at autopsy due to maceration or other problems, indicate as “not known”.",,"1 = Male +2 = Female +3 = Indeterminate +9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +MBRN,MBRN_child,PERINAT_DOD_TI_500_WHO,Death during the early perinatal period ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_FODT_1000_WHO,Perinatal born ≥ 1000 gram according to WHOs secondary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_FODT_22_EP,Perinatal born ≥ 22 weeks according to Euro-Peristat definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_FODT_500_WHO,Perinatal born ≥ 500 gram according to WHOs primary definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PERINAT_FODT_MFR,Perinatal born according to MBRNs definition. See also: Abbreviations and definitions: Perinatal mortality,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PLEXUSSKADE,Plexus injury,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,PLURAL,Plurality: Number of children born,,,1.0,,,,,,,,,,,,Integer,False,,,,, +MBRN,MBRN_child,PLUREK,"Child’s birth order in the present delivery (the variable is set in all children, but is mainly relevant in multiple births)",,,1.0,,,,,,,,,,,,Integer,False,,,,, +MBRN,MBRN_child,RESPIRATOR,Respiratory treatment,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,RESPIRATORISK_DISTR,Respiratory distress syndrome,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,SETE_ISSE,Child’s crown-rump length,,,1.0,,,,,,,,,,,,Centimeter,False,,,,, +MBRN,MBRN_child,SPINAB,Spina bifida,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,SYSTEMISKANTIBIOTIKA,Treated with systemic antibiotics,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_child,VEKT,Child’s weight,,,1.0,,,,,,,,,,,,Gram,False,,,,, +MBRN,MBRN_child,VEKT_MANGLER,Child’s weight is missing,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,ABRUPTIOP,Abruptio placentae,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,ANESTESI_ANALGESI,Anaesthesia/analgesia,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,ASTMA,Asthma,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN_mother,BLODNING_0500,Hemorrhage more than 500 ml during delivery,,,1.0,,,,,,,HCP,,,,,"1 = 500-1500 ml 2 = >1500 ml, transfusion - 3 = >500 ml, unspecified amount" + 3 = >500 ml, unspecified amount",False,,,,, MBRN,MBRN_mother,HELSEREGION,Health region,,,1.0,,,,,,,HCP/automated,,,,,"1 = South-East 2 = West 3 = Middle 4 = North - 9 = Unknown/Other" -MBRN,MBRN_mother,BLODN_13_28,Vaginal bleeding: Week 13-28.,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_mother,BLODN_E28,Vaginal bleeding: After week 28,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_mother,BLODN_F13,Vaginal bleeding: Before week 13,,,1.0,,,,,,,,,,,,1 = Yes + 9 = Unknown/Other",False,,,,, +MBRN,MBRN_mother,BLODN_13_28,Vaginal bleeding: Week 13-28.,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,BLODN_E28,Vaginal bleeding: After week 28,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,BLODN_F13,Vaginal bleeding: Before week 13,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN_mother,DIABETES_MELLITUS,Diabetes,,,1.0,,,,,,,,,,,,"1 = Pregestational diabetes – Type 1 2 = Pregestational diabetes – Type 2 3 = Pregestational diabetes – Unspecified / other 4 = Gestational diabetes - 5 = Antidiabetic medication during pregnancy registered without further information" + 5 = Antidiabetic medication during pregnancy registered without further information",False,,,,, MBRN,MBRN_mother,DODFODTE_5,Previous stillbirths (from 24 weeks and later) categorized,,,1.0,,,,,,,,,,,,"0 = 0 1 = 1 2 = 2 3 = 3 - 4 = 4 or more" + 4 = 4 or more",False,,,,, MBRN,MBRN_mother,EKLAMPSI,"Eclampsia, total: - Eclampsia during pregnancy - Eclampsia during birth and/or post partum - - Unspecified eclampsia",,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,ENHETER_BLOD,Units of blood given to the mother during delivery,,,1.0,,,,,,,HCP,,,,,Integer -MBRN,MBRN_mother,EPIDURAL,Epidural anaesthesia,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,EPILEPSI,Epilepsy,,,1.0,,,,,,,,,,,,"1 = Persistent epilepsy - 2= Previois epilepsy - 9= Unspecified epilepsy" -MBRN,MBRN_mother,EPISIOTOMI,Episiotomy,,,1.0,,,,,,,HCP,,,,,1 = Yes + - Unspecified eclampsia",,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,ENHETER_BLOD,Units of blood given to the mother during delivery,,,1.0,,,,,,,HCP,,,,,Integer,False,,,,, +MBRN,MBRN_mother,EPIDURAL,Epidural anaesthesia,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, MBRN,MBRN_mother,FARS_ALDER_K11,Father’s age categorized,,,1.0,,,,,,,HCP/automated based on the personal ID number which always contains the persons birth date.,,,,,"1 = 17 years and younger 2 = 18 - 19 years 3 = 20 - 24 years @@ -5068,8 +5193,8 @@ MBRN,MBRN_mother,FARS_ALDER_K11,Father’s age categorized,,,1.0,,,,,,,HCP/autom 8 = 45 - 49 years 9 = 50 - 54 years 10 = 55 - 59 years - 11 = 60 years and older" -MBRN,MBRN_mother,FAR_FAAR,Father’s year of birth,,,1.0,,,,,,,HCP/automated based on the personal ID number which always contains the persons birth date.,,,,,Year + 11 = 60 years and older",False,,,,, +MBRN,MBRN_mother,FAR_FAAR,Father’s year of birth,,,1.0,,,,,,,HCP/automated based on the personal ID number which always contains the persons birth date.,,,,,Year,False,,,,, MBRN,MBRN_mother,FODELAND_KAT_NOR_GBD,"Mother’s country of birth in 8 categories: - Norway - The 7 Global Burden of Disease (GBD) super regions",,,1.0,,,,,,,,,,,,"0201 = Norway @@ -5079,60 +5204,64 @@ MBRN,MBRN_mother,FODELAND_KAT_NOR_GBD,"Mother’s country of birth in 8 categori 0205 = North Africa and Middle East 0206 = South Asia 0207 = South East Asia, East Asia and Oceania - 0208 = Latin America and Caribbean" + 0208 = Latin America and Caribbean",False,,,,, MBRN,MBRN_mother,FODESTED_KAT_5,"Place of delivery categorized by: - Size of maternity clinic (deliveries per year) - Deliveries outside of institution",,,1.0,,,,,,,HCP/automated,,,,,"1 = 1-499 2 = 500-1499 3 = 1500-2999 4 = 3000+ - 5 = Outside of institution /Other" -MBRN,MBRN_mother,FOLATF,Folate supplements prior to pregnancy,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_mother,FOLATU,Folate supplements during pregnancy,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_mother,FOSTERV_MISF_STINK_INFI,"Amniotic fluid: Discoloured,malodorous,infected",,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,FOSTERV_OLIGOHYDRAMNION,Amniotic fluid: Oligohydramnios,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,FOSTERV_POLYHYDRAMNION,Amniotic fluid: Polyhydramnios,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,FRAMHJELP,Assisted delivery of breech / partial extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes + 5 = Outside of institution /Other",False,,,,, +MBRN,MBRN_mother,FOLATF,Folate supplements prior to pregnancy,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,FOLATU,Folate supplements during pregnancy,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,FOSTERV_MISF_STINK_INFI,"Amniotic fluid: Discoloured,malodorous,infected",,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,FOSTERV_OLIGOHYDRAMNION,Amniotic fluid: Oligohydramnios,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,FOSTERV_POLYHYDRAMNION,Amniotic fluid: Polyhydramnios,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,FRAMHJELP,Assisted delivery of breech / partial extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, MBRN,MBRN_mother,FSTART,Initiation of delivery,,,1.0,,,,,,,HCP,,,,,"1 = Spontaneous 2 = Induction - 3 = Cesarean section" -MBRN,MBRN_mother,HELLP,HELLP,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,HYPERTENSJON_ALENE,«Hypertension only» occured during pregnancy,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,HYPERTENSJON_KRONISK,Chronic hypertension,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_mother,ID_FAR,"Record number, father",,,1.0,,,,,,,Project specific ID,,,,, -MBRN,MBRN_mother,INDUKSJON_AMNIOTOMI,Induction of labor: Amniotomy,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,INDUKSJON_ANNET,Induction of labor: Other methods,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,INDUKSJON_OXYTOCIN,Induction of labor: Oxytocin,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,INDUKSJON_PROSTAGLANDIN,Induction of labor: Prostaglandine,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,KJENT_FAR,Father is known,,,1.0,,,,,,,,,,,,1= Yes -MBRN,MBRN_mother,KMI_FOER,Mother’s body mass index before the start of the pregnancy (BMI),,,1.0,,,,,,,Based on variables MORS_HOYDE and MORS_VEKT_FOER,,,,,Decimal -MBRN,MBRN_mother,PLACENTAVEKT,Weight of placenta,,,1.0,,,,,,,HCP,,,,,Gram -MBRN,MBRN_mother,KMI_SLUTT,Mother’s body mass index at end of pregnancy (BMI),,,1.0,,,,,,,Based on variables MORS_HOYDE and MORS_VEKT_SLUTT,,,,,Decimal + 3 = Cesarean section",False,,,,, +MBRN,MBRN_mother,HELLP,HELLP,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,HYPERTENSJON_ALENE,«Hypertension only» occured during pregnancy,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,HYPERTENSJON_KRONISK,Chronic hypertension,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,ID_FAR,"Record number, father",,,1.0,,,,,,,Project specific ID,,,,,,False,,,,, +MBRN,MBRN_mother,INDUKSJON_AMNIOTOMI,Induction of labor: Amniotomy,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,INDUKSJON_ANNET,Induction of labor: Other methods,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,INDUKSJON_OXYTOCIN,Induction of labor: Oxytocin,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,INDUKSJON_PROSTAGLANDIN,Induction of labor: Prostaglandine,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,KJENT_FAR,Father is known,,,1.0,,,,,,,,,,,,1= Yes,False,,,,, +MBRN,MBRN_mother,KMI_FOER,Mother’s body mass index before the start of the pregnancy (BMI),,,1.0,,,,,,,Based on variables MORS_HOYDE and MORS_VEKT_FOER,,,,,Decimal,False,,,,, +MBRN,MBRN_mother,PLACENTAVEKT,Weight of placenta,,,1.0,,,,,,,HCP,,,,,Gram,False,,,,, +MBRN,MBRN_mother,KMI_SLUTT,Mother’s body mass index at end of pregnancy (BMI),,,1.0,,,,,,,Based on variables MORS_HOYDE and MORS_VEKT_SLUTT,,,,,Decimal,False,,,,, MBRN,MBRN_mother,KOSTNEI,No regular supplements,,,1.0,,,,,,,,,,,,"1 = Checked “Regular supplements: No” and no other information about supplements is registered - 2 = Checked “Regular supplements: No”, but also gave information about other supplements" -MBRN,MBRN_mother,KSNITT,Cesarean section,,,1.0,,,,,,,HCP,,,,,1 = Planned C-section 2 = Emergency C-section 9 = Unspecified C-section -MBRN,MBRN_mother,KSNITT_PLANLAGT,Cesarean section was planned,,,1.0,,,,,,,HCP,,,,,1 = No 2 = Yes -MBRN,MBRN_mother,KSNITT_TIDLIGERE,Mother has delivered by cesarean section in a previous pregnancy,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_mother,KSNITT_TIDLIGERE_MFR,Mother has previous cesarean section registered in MBRN,,,1.0,,,,,,,HCP/registry,,,,,1 = Yes -MBRN,MBRN_mother,LEGEMIDLER_UNDER,Medication during pregnancy,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable. + 2 = Checked “Regular supplements: No”, but also gave information about other supplements",False,,,,, +MBRN,MBRN_mother,KSNITT,Cesarean section,,,1.0,,,,,,,HCP,,,,,1 = Planned C-section 2 = Emergency C-section 9 = Unspecified C-section,False,,,,, +MBRN,MBRN_mother,KSNITT_PLANLAGT,Cesarean section was planned,,,1.0,,,,,,,HCP,,,,,1 = No 2 = Yes,False,,,,, +MBRN,MBRN_mother,KSNITT_TIDLIGERE,Mother has delivered by cesarean section in a previous pregnancy,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,KSNITT_TIDLIGERE_MFR,Mother has previous cesarean section registered in MBRN,,,1.0,,,,,,,HCP/registry,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,LEGEMIDLER_UNDER,Medication during pregnancy,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable.,False,,,,, MBRN,MBRN_mother,LEIE,Child’s presentation/position at birth,,,1.0,,,,,,,HCP,,,,,"1 = Normal cephalic 2 = Breech 3 = Transverse 4 = Cephalic, abnormal - 5 = Other" + 5 = Other",False,,,,, +OOM,EUROCAT,sib1,,,,2.2,,,,,,false,"SIB LOCAL ID NUMBER NOTIFIED TO THE CENTRAL REGISTRY +Enter here also the code numbers of co-twins or siblings from the same pregnancy, irrespective of birth order within multiple sets. + +Leave blank if no previous siblings notified to EUROCAT.",,Table reference: EUROCAT/EUROmediCAT. Local ID,,,,False,,,,, MBRN,MBRN_mother,LEVENDEFODTE_5,Previous live births categorized,,,1.0,,,,,,,,,,,,"0 = 0 1 = 1 2 = 2 3 = 3 - 4 = 4 or more" -MBRN,MBRN_mother,MANUELL_PLACENTA,Placenta: Manual extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes + 4 = 4 or more",False,,,,, +MBRN,MBRN_mother,MANUELL_PLACENTA,Placenta: Manual extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, MBRN,MBRN_mother,MELDINGSTYPEID,Primary data source,,,1.0,,,,,,,,,,,,"1 = Digital birth notification form v. 1.0 2 = Digital birth notification form v. 1.1 5 = Digital birth notification form v. 0.51 8 = Birth notification form 1998-present, green paper 10 = Birth notification form 1967-1998, white paper - 199 = Termination of pregnancy registered according to §2.3c, unknown notification form" -MBRN,MBRN_mother,MORS_ALDER,Mother’s age at time of delivery,,,1.0,,,,,,,HCP/automated Based on the personal ID number which always contains the persons birth date.,,,,,Integer + 199 = Termination of pregnancy registered according to §2.3c, unknown notification form",False,,,,, +MBRN,MBRN_mother,MORS_ALDER,Mother’s age at time of delivery,,,1.0,,,,,,,HCP/automated Based on the personal ID number which always contains the persons birth date.,,,,,Integer,False,,,,, MBRN,MBRN_mother,MORS_ALDER_K8,Mother’s age categorized,,,1.0,,,,,,,HCP/automated Based on the personal ID number which always contains the persons birth date.,,,,,"1 = 17 years and younger 2 = 18 – 19 years 3 = 20 – 24 years @@ -5140,98 +5269,110 @@ MBRN,MBRN_mother,MORS_ALDER_K8,Mother’s age categorized,,,1.0,,,,,,,HCP/automa 5 = 30 – 34 years 6 = 35 – 39 years 7 = 40 – 44 years - 8 = 45 years and older" -MBRN,MBRN_mother,MORS_HELSE_FOER,Mother’s health prior to pregnancy,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable. -MBRN,MBRN_mother,MORS_HELSE_UNDER,Mother’s health during pregnancy,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable. -MBRN,MBRN_mother,MORS_HOYDE,Mother’s height,,,1.0,,,,,,,"Could be either measured or patient-reported, recorded by HCP",,,,,Centimeter -MBRN,MBRN_mother,MORS_VEKT_FOER,Mother’s weight before pregnancy,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration,,,,,Kg -MBRN,MBRN_mother,MORS_VEKT_SLUTT,Mother’s weight at end of pregnancy,,,1.0,,,,,,,"Could be either measured or patient-reported, recorded by HCP. Reporting to the registry is not mandatory. Missing values represent women who opt out of registration",,,,,Kg + 8 = 45 years and older",False,,,,, +MBRN,MBRN_mother,MORS_HELSE_FOER,Mother’s health prior to pregnancy,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable.,False,,,,, +MBRN,MBRN_mother,MORS_HELSE_UNDER,Mother’s health during pregnancy,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable.,False,,,,, +MBRN,MBRN_mother,MORS_HOYDE,Mother’s height,,,1.0,,,,,,,"Could be either measured or patient-reported, recorded by HCP",,,,,Centimeter,False,,,,, +MBRN,MBRN_mother,MORS_VEKT_FOER,Mother’s weight before pregnancy,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration,,,,,Kg,False,,,,, +MBRN,MBRN_mother,MORS_VEKT_SLUTT,Mother’s weight at end of pregnancy,,,1.0,,,,,,,"Could be either measured or patient-reported, recorded by HCP. Reporting to the registry is not mandatory. Missing values represent women who opt out of registration",,,,,Kg,False,,,,, MBRN,MBRN_mother,MOR_BOSATT_NO,Mother reside in Norway at time of delivery,,,1.0,,,,,,,,,,,,"1 = Yes 2 = No - 3 = Unknown" -MBRN,MBRN_mother,MOR_FAAR,Mother’s year of birth,,,1.0,,,,,,,HCP/automated,,,,,Year -MBRN,MBRN_mother,MULTIVITF,Multivitamin supplements prior to pregnancy,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_mother,MULTIVITU,Multivitamin supplements during pregnancy,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_mother,NARKOSE,General anaesthesia,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,NAVLESNORLENGDE,Length of the umbilical cord,,,1.0,,,,,,,HCP,,,,,Centimeter -MBRN,MBRN_mother,NAVLESNOR_KOMPL,Umbilical cord: Complications,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,NYRESYKDOM_KRONISK,Chronic renal disease,,,1.0,,,,,,,,,,,,1 = Yes + 3 = Unknown",False,,,,, +MBRN,MBRN_mother,MOR_FAAR,Mother’s year of birth,,,1.0,,,,,,,HCP/automated,,,,,Year,False,,,,, +MBRN,MBRN_mother,MULTIVITF,Multivitamin supplements prior to pregnancy,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,MULTIVITU,Multivitamin supplements during pregnancy,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,NARKOSE,General anaesthesia,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,NAVLESNORLENGDE,Length of the umbilical cord,,,1.0,,,,,,,HCP,,,,,Centimeter,False,,,,, +MBRN,MBRN_mother,NAVLESNOR_KOMPL,Umbilical cord: Complications,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,NYRESYKDOM_KRONISK,Chronic renal disease,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, MBRN,MBRN_mother,PARITET_5,Parity categorized,,,1.0,,,,,,,,,,,,"0 = 0 (primiparous) 1 = 1 2 = 2 3 = 3 - 4 = 4 or more" -MBRN,MBRN_mother,PCO2_NAVLESNORARTERIE,PCO2 umbilical cord artery,,,1.0,,,,,,,HCP,,,,,PCO2-value -MBRN,MBRN_mother,PCO2_NAVLESNORVENE,PCO2 umbilical cord vein,,,1.0,,,,,,,HCP,,,,,PCO2-value -MBRN,MBRN_mother,PH_NAVLESNORARTERIE,PH umbilical cord artery,,,1.0,,,,,,,HCP,,,,,PH-value -MBRN,MBRN_mother,PH_NAVLESNORVENE,PH umbilical cord vein,,,1.0,,,,,,,HCP,,,,,PH-value + 4 = 4 or more",False,,,,, +MBRN,MBRN_mother,PCO2_NAVLESNORARTERIE,PCO2 umbilical cord artery,,,1.0,,,,,,,HCP,,,,,PCO2-value,False,,,,, +MBRN,MBRN_mother,PCO2_NAVLESNORVENE,PCO2 umbilical cord vein,,,1.0,,,,,,,HCP,,,,,PCO2-value,False,,,,, +MBRN,MBRN_mother,PH_NAVLESNORARTERIE,PH umbilical cord artery,,,1.0,,,,,,,HCP,,,,,PH-value,False,,,,, +MBRN,MBRN_mother,PH_NAVLESNORVENE,PH umbilical cord vein,,,1.0,,,,,,,HCP,,,,,PH-value,False,,,,, MBRN,MBRN_mother,PREEKL,Preeclampsia,,,1.0,,,,,,,HCP,,,,,"1 = Light 2 = Serious - 3 = Unspecified" -MBRN,MBRN_mother,PREEKLTIDL,Early preeclampsia,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,PRENAT_DIAGNOSTIKK_UTF,Prenatal diagnostics performed,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,PRENAT_DIAG_TYPE,Prenatal diagnostics: Type,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable. -MBRN,MBRN_mother,REUM_ARTRITT,Rheumatoid arthritis,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_mother,ROBSON_10,Birth classification according to the Robson 10-group classification system,,,1.0,,,,,,,HCP. See table Robson-10 p. 23. See also: WHO | Robson Classification: Implementation Manual,,,,,Integer (from 1 to 10) + 3 = Unspecified",False,,,,, +MBRN,MBRN_mother,PREEKLTIDL,Early preeclampsia,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,PRENAT_DIAGNOSTIKK_UTF,Prenatal diagnostics performed,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,PRENAT_DIAG_TYPE,Prenatal diagnostics: Type,,,1.0,,,,,,,See explanation of code-strings below variable list,,,,,Code-string variable.,False,,,,, +MBRN,MBRN_mother,REUM_ARTRITT,Rheumatoid arthritis,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,ROBSON_10,Birth classification according to the Robson 10-group classification system,,,1.0,,,,,,,HCP. See table Robson-10 p. 23. See also: WHO | Robson Classification: Implementation Manual,,,,,Integer (from 1 to 10),False,,,,, MBRN,MBRN_mother,ROYK_AVSL,Smoking at end of pregnancy,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration,,,,,"1 = No 2 = Sometimes - 3 = Daily" -MBRN,MBRN_mother,ROYK_AVSL_ANT,Number of cigarettes per day at end of pregnancy,,,1.0,,,,,,,,,,,,0 – 99 + 3 = Daily",False,,,,, +MBRN,MBRN_mother,ROYK_AVSL_ANT,Number of cigarettes per day at end of pregnancy,,,1.0,,,,,,,,,,,,0 – 99,False,,,,, MBRN,MBRN_mother,ROYK_BEG,Smoking at start of pregnancy,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration,,,,,"1 = No 2 = Sometimes - 3 = Daily" -MBRN,MBRN_mother,ROYK_BEG_ANT,Number of cigarettes per day at start of pregnancy,,,1.0,,,,,,,,,,,,0 – 99 + 3 = Daily",False,,,,, +OOM,EUROCAT,sibanom,,,,2.2,,,,,,false,"SIBS WITH ANOMALIES +If the sibling (including twin) was notified to EUROCAT fill in variables 68-71 below. Make sure that the local identification numbers given correspond to those in the central database; otherwise give more information in text here. + +If previous siblings were not notified to EUROCAT specify in text SP_SIBANOM the year of birth and malformations of each sibling. + +If one sibling has both the same anomaly and a different anomaly, code under “same”. If one sibling has the same anomaly and another sibling has a different anomaly, code under “same and other” + +Always give details in text variable 66 SP_SIBANOM",,"1 = Same +2 = Other +3 = Same and other +4 = No +9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +MBRN,MBRN_mother,ROYK_BEG_ANT,Number of cigarettes per day at start of pregnancy,,,1.0,,,,,,,,,,,,0 – 99,False,,,,, MBRN,MBRN_mother,ROYK_FOER,Smoking before pregnancy,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration,,,,,"1 = No 2 = Sometimes - 3 = Daily" -MBRN,MBRN_mother,ROYK_FOER_ANT,Number of cigarettes per day before pregnancy,,,1.0,,,,,,,,,,,,0-99 -MBRN,MBRN_mother,ROYK_MOTSETTER_SEG,Refuses registration of smoking habits,,,1.0,,,,,,,,,,,,1 = Yes 2 = No -MBRN,MBRN_mother,ROYK_OPPL,Smoking information available,,,1.0,,,,,,,,,,,,1 = Yes -MBRN,MBRN_mother,ROYK_SKRIFT_ORIENT,Written information on smoking registration is given (see ROYK_MOTSETTER SEG),,,1.0,,,,,,,,,,,,1 = Yes 2 = No -MBRN,MBRN_mother,RUPTUR34,"Perineal rupture, 3.-4. degree",,,1.0,,,,,,,HCP,,,,,1 = Yes + 3 = Daily",False,,,,, +MBRN,MBRN_mother,ROYK_FOER_ANT,Number of cigarettes per day before pregnancy,,,1.0,,,,,,,,,,,,0-99,False,,,,, +MBRN,MBRN_mother,ROYK_MOTSETTER_SEG,Refuses registration of smoking habits,,,1.0,,,,,,,,,,,,1 = Yes 2 = No,False,,,,, +MBRN,MBRN_mother,ROYK_OPPL,Smoking information available,,,1.0,,,,,,,,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,ROYK_SKRIFT_ORIENT,Written information on smoking registration is given (see ROYK_MOTSETTER SEG),,,1.0,,,,,,,,,,,,1 = Yes 2 = No,False,,,,, +MBRN,MBRN_mother,RUPTUR34,"Perineal rupture, 3.-4. degree",,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, MBRN,MBRN_mother,SIVST,Mother’s marital status at time of delivery,,,1.0,,,,,,,,,,,,"1 = Married / Registered partner 2 = Co-habitant 3 = Unmarried / Single 4 = Divorced / Separated / Widow - 9 = Other / Missing" + 9 = Other / Missing",False,,,,, MBRN,MBRN_mother,SLEKTF,Familial relations between parents,,,1.0,,,,,,,,,,,,"1 = Not related 2 = Closer than first cousins 3 = First cousins 4 = Second cousins 5 = Other - 6 = Unknown" -MBRN,MBRN_mother,SMENSD_DATO,Fictive date for the 1st day of last menstrual period,,,1.0,,,,,,,,,,,,Date + 6 = Unknown",False,,,,, +MBRN,MBRN_mother,SMENSD_DATO,Fictive date for the 1st day of last menstrual period,,,1.0,,,,,,,,,,,,Date,False,,,,, MBRN,MBRN_mother,SMENSD_KODE,Reliability of 1st day of last menstrual period,,,1.0,,,,,,,,,,,,"1 = Certain 2 = Uncertain 3 = Irregular - 4 = Unknown" + 4 = Unknown",False,,,,, MBRN,MBRN_mother,SPABORT_12_5,Previous miscarriages before 12 weeks of gestation categorized,,,1.0,,,,,,,,,,,,"0 = 0 1 = 1 2 = 2 3 = 3 - 4 = 4 or more" + 4 = 4 or more",False,,,,, RMR,RMR,luogo,Place of death,,,1.0,,,,,,,,,,,,"""1"" = Home ""2"" = public care institution ""3"" = private care institution ""4"" = Social welfare structure ""5"" = Other - ""9"" = not detected." + ""9"" = not detected.",False,,,,, MBRN,MBRN_mother,SPABORT_23_5,Previous miscarriages/stillbirths 12-23 weeks of gestation categorized,,,1.0,,,,,,,,,,,,"0 = 0 1 = 1 2 = 2 3 = 3 - 4 = 4 or more" -MBRN,MBRN_mother,SPINAL,Spinal anaesthesia,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,SVLEN,"Length of gestation based on ultrasound estimation. If ultrasound is not available, the gestational length is calculated from the last menstrual period",,,1.0,,,,,,,HCP/automated,,,,,Number of completed weeks -MBRN,MBRN_mother,SVLEN_ART,Length of gestation calculated from date of embryo transfer,,,1.0,,,,,,,HCP/automated,,,,,Number of completed weeks -MBRN,MBRN_mother,SVLEN_ART_DG,Length of gestation calculated from date of embryo transfer,,,1.0,,,,,,,HCP/automated,,,,,Days + 4 = 4 or more",False,,,,, +MBRN,MBRN_mother,SPINAL,Spinal anaesthesia,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,SVLEN,"Length of gestation based on ultrasound estimation. If ultrasound is not available, the gestational length is calculated from the last menstrual period",,,1.0,,,,,,,HCP/automated,,,,,Number of completed weeks,False,,,,, +MBRN,MBRN_mother,SVLEN_ART,Length of gestation calculated from date of embryo transfer,,,1.0,,,,,,,HCP/automated,,,,,Number of completed weeks,False,,,,, +MBRN,MBRN_mother,SVLEN_ART_DG,Length of gestation calculated from date of embryo transfer,,,1.0,,,,,,,HCP/automated,,,,,Days,False,,,,, MBRN,MBRN_mother,SVLEN_DG,"Length of gestation in days. - See SVLEN for details",,,1.0,,,,,,,HCP/automated,,,,,Days -MBRN,MBRN_mother,SVLEN_SM_DG,Length of gestation calculated from the last menstrual period,,,1.0,,,,,,,Automated based on patient reported 1st day of last menstrual period,,,,,Days -MBRN,MBRN_mother,SVLEN_UL_DG,Length of gestation based on ultrasound estimations,,,1.0,,,,,,,HCP/automated,,,,,Days + See SVLEN for details",,,1.0,,,,,,,HCP/automated,,,,,Days,False,,,,, +MBRN,MBRN_mother,SVLEN_SM_DG,Length of gestation calculated from the last menstrual period,,,1.0,,,,,,,Automated based on patient reported 1st day of last menstrual period,,,,,Days,False,,,,, +MBRN,MBRN_mother,SVLEN_UL_DG,Length of gestation based on ultrasound estimations,,,1.0,,,,,,,HCP/automated,,,,,Days,False,,,,, MBRN,MBRN_mother,TANG,Forceps,,,1.0,,,,,,,HCP,,,,,"1 = Forceps, breech delivery 2 = Outlet forceps, vertex delivery - 3 = Other forceps, vertex delivery" + 3 = Other forceps, vertex delivery",False,,,,, MBRN,MBRN_mother,TERMINMETODE,Method for estimating expected date of delivery,,,1.0,,,,,,,HCP,,,,,"1 = Ultrasound – “Terminhjulet” 2 = Ultrasound – “eSnurra” 3 = Ultrasound – Other @@ -5239,96 +5380,106 @@ MBRN,MBRN_mother,TERMINMETODE,Method for estimating expected date of delivery,,, 5 = Naegels rule 6 = Ultrasound upspecified 7 = Ultrasound is not performed - 99 = Other" -MBRN,MBRN_mother,UL_TERMIN,Ultrasound estimated date of delivery,,,1.0,,,,,,,HCP. Difference date variable. Renamed diff_ul_termin in dataset.,,,,,Date -MBRN,MBRN_mother,UTSKRAPING,Placenta: Curettage,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,UTTREKKING,Total breech extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,VAGINAL,Vaginal delivery,,,1.0,,,,,,,HCP,,,,,1 = Yes -MBRN,MBRN_mother,VAKUUM,Vacuum extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes + 99 = Other",False,,,,, +MBRN,MBRN_mother,UL_TERMIN,Ultrasound estimated date of delivery,,,1.0,,,,,,,HCP. Difference date variable. Renamed diff_ul_termin in dataset.,,,,,Date,False,,,,, +MBRN,MBRN_mother,UTSKRAPING,Placenta: Curettage,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,UTTREKKING,Total breech extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,VAGINAL,Vaginal delivery,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, +MBRN,MBRN_mother,VAKUUM,Vacuum extraction,,,1.0,,,,,,,HCP,,,,,1 = Yes,False,,,,, MBRN,MBRN_mother,VANNAVGANG,Premature rupture of membranes,,,1.0,,,,,,,"If the rupture of the membranes take place in the woman’s home, the variable will rely on patient report, if during hospitalisation, exact time is noted by HCP",,,,,"1 = 12-24 hours before delivery 2 = More than 24 hours before delivery - 3 = Unspecified time before delivery" -MBRN,MBRN_mother,VERSJON_DATABASE,Complete database version number,,,1.0,,,,,,,,,,,,2020Q1 -MBRN,MBRN_mother,VERSJON_RECORD,MBRN record version number,,,1.0,,,,,,,,,,,,0.21319444444444444 + 3 = Unspecified time before delivery",False,,,,, +MBRN,MBRN_mother,VERSJON_DATABASE,Complete database version number,,,1.0,,,,,,,,,,,,2020Q1,False,,,,, +MBRN,MBRN_mother,VERSJON_RECORD,MBRN record version number,,,1.0,,,,,,,,,,,,0.21319444444444444,False,,,,, MBRN,MBRN_mother,YRKE_KODE,Employed,,,1.0,,,,,,,Reporting to the registry is not mandatory. Missing values represent women who opt out of registration. See next variable.,,,,,"1 = Not employed 2 = Employed, full-time - 3 = Employed, part-time" -MBRN,MBRN_mother,YRKE_MOTSETTER_SEG,Does not consent to provide information about occupation,,,1.0,,,,,,,,,,,,1 = Yes 2 = No -MBRN,MBRN_mother,ZSCORE_BW_GA,"Raw z_score based on child’s weight, length of gestation and gender",,,1.0,,,,,,,HCP/automated,,,,,Decimal -PHT,PHT,COD_ICD9,Indicazione d’uso (range codici ICD9 – CM),,,1.0,,,,,,,,,,,, -PHT,PHT,COD_ICD9_DETTAGLIO,Indicazione d’uso (Codice ICD9 – CM),,,1.0,,,,,,,,,,,, -PHT,PHT,DATA_FINE,Data fine del piano terapeutico,,,1.0,,,,,,,,,,,, -PHT,PHT,DATA_INIZIO,Data di inizio del piano terapeutico,,,1.0,,,,,,,,,,,, -PHT,PHT,DESC_PRINCIPIO,Nome principio attivo,,,1.0,,,,,,,,,,,,Active ingredient name -PHT,PHT,FORMA FARMACO,Formato del farmaco,,,1.0,,,,,,,,,,,,Drug mode -PHT,PHT,GG_CICLO_TERAPEUTICO,Durata in giorni,,,1.0,,,,,,,,,,,,Durazion in days -PHT,PHT,PATID,Codice identificativo paziente criptato,,,1.0,,,,,,,,,,,,Patient ID code -PHT,PHT,PREZZO,,,,1.0,,,,,,,,,,,,Price -PHT,PHT,PROG_PRESCRIZIONE,Numero prescrizione,,,1.0,,,,,,,,,,,,Prescription number + 3 = Employed, part-time",False,,,,, +MBRN,MBRN_mother,YRKE_MOTSETTER_SEG,Does not consent to provide information about occupation,,,1.0,,,,,,,,,,,,1 = Yes 2 = No,False,,,,, +MBRN,MBRN_mother,ZSCORE_BW_GA,"Raw z_score based on child’s weight, length of gestation and gender",,,1.0,,,,,,,HCP/automated,,,,,Decimal,False,,,,, +PHT,PHT,COD_ICD9,Indicazione d’uso (range codici ICD9 – CM),,,1.0,,,,,,,,,,,,,False,,,,, +PHT,PHT,COD_ICD9_DETTAGLIO,Indicazione d’uso (Codice ICD9 – CM),,,1.0,,,,,,,,,,,,,False,,,,, +PHT,PHT,DATA_FINE,Data fine del piano terapeutico,,,1.0,,,,,,,,,,,,,False,,,,, +PHT,PHT,DATA_INIZIO,Data di inizio del piano terapeutico,,,1.0,,,,,,,,,,,,,False,,,,, +PHT,PHT,DESC_PRINCIPIO,Nome principio attivo,,,1.0,,,,,,,,,,,,Active ingredient name,False,,,,, +PHT,PHT,FORMA FARMACO,Formato del farmaco,,,1.0,,,,,,,,,,,,Drug mode,False,,,,, +PHT,PHT,GG_CICLO_TERAPEUTICO,Durata in giorni,,,1.0,,,,,,,,,,,,Durazion in days,False,,,,, +PHT,PHT,PATID,Codice identificativo paziente criptato,,,1.0,,,,,,,,,,,,Patient ID code,False,,,,, +PHT,PHT,PREZZO,,,,1.0,,,,,,,,,,,,Price,False,,,,, +PHT,PHT,PROG_PRESCRIZIONE,Numero prescrizione,,,1.0,,,,,,,,,,,,Prescription number,False,,,,, RMR,RMR,causamorte,Main cause of death.,,,1.0,,,,,,,Non c’è causa morte_icdx,,,,,"It is compiled with the ICD 9 CM ´0 2 code. - For decoding refer to table U_COD_ICD9CM02. In case of violent death this field is filled in with the injury code." + For decoding refer to table U_COD_ICD9CM02. In case of violent death this field is filled in with the injury code.",False,,,,, RMR,RMR,causaviolenta,Violent death.,,,1.0,,,,,,,Non c’è CAUSAVIOLENTA_ICDX,,,,,"ICD code 9 CM ´0 2 indicating the cause of violent death. For decoding refer to the table - U_COD_CAUSE_VIOLENTE." -RMR,RMR,iduni,Universal identifier,,,1.0,,,,,,,Unique subject identifier,,,,, -SALM,SALM,data,date of the evaluation / revaluation,,,1.0,,,,,,,,,,,, -SALM,SALM,diagnosi_principale,main diagnosis,,,1.0,,,,,,,,,,,,"contains ICD9-CM codes for the adult sector, ICD10 codes for the childhood / adolescence sector" -SALM,SALM,id_universale,unique universal patient ID,,,1.0,,,,,,,,,,,, + U_COD_CAUSE_VIOLENTE.",False,,,,, +RMR,RMR,iduni,Universal identifier,,,1.0,,,,,,,Unique subject identifier,,,,,,False,,,,, +SALM,SALM,data,date of the evaluation / revaluation,,,1.0,,,,,,,,,,,,,False,,,,, +SALM,SALM,diagnosi_principale,main diagnosis,,,1.0,,,,,,,,,,,,"contains ICD9-CM codes for the adult sector, ICD10 codes for the childhood / adolescence sector",False,,,,, +SALM,SALM,id_universale,unique universal patient ID,,,1.0,,,,,,,,,,,,,False,,,,, SEA,SEA,icd9cm,pathology code,,,1.0,,,,,,,,,,,,"if the value ""1"", ""2"" or ""4"" is entered in the typeese field, it contains the Icd9cm code of the exemption pathology; for decoding use the table U_COD_ICD9CM02 - if the value ""3"" or ""5"" is entered in the tipoese field, it contains the code ""000000""" -SEA,SEA,iduni,universal identification of the subject,,,1.0,,,,,,,regional identifier through which a subject is uniquely identified,,,,, -SEA,SEA,rilascio,release date of the exemption,,,1.0,,,,,,,,,,,,Format: dd / mm / yyyy + if the value ""3"" or ""5"" is entered in the tipoese field, it contains the code ""000000""",False,,,,, +SEA,SEA,iduni,universal identification of the subject,,,1.0,,,,,,,regional identifier through which a subject is uniquely identified,,,,,,False,,,,, +SEA,SEA,rilascio,release date of the exemption,,,1.0,,,,,,,,,,,,Format: dd / mm / yyyy,False,,,,, SPA,SPA,codpres,Code of the service provided / product administered,,,1.0,,,,,,,,,,,,"if tipopr equal to 1 or 2 contains the nomenclator's outpatient specialist service code; for decoding refer to the u_cod_prestambu_spa table for 2011, while for previous years refer to u_cod_prestambu_spa_storico using as linkage fields year + performance_code. if tipopr = 4 contains the code of the blood component administered to the user; for decoding refer to the u_cod_prestemoc_spa table if tipopr = 5 contains the sports medical certification code; for decoding refer to the u_cod_prest_medicosport_spa table if tipopr = 7 contains the minsan10 code of the product administered to the user together with the outpatient service - if tipopr = 8 contains the service code not provided for in the regional nomenclator" + if tipopr = 8 contains the service code not provided for in the regional nomenclator",False,,,,, SPA,SPA,dataini,"Start date of delivery of the - performance / product administration",,,1.0,,,,,,,,,,,,date in ddmmyyyy format -SPA,SPA,iduni,subject identifier,,,1.0,,,,,,,subject unique identifier,,,,, -SPA,SPA,speciali,Specialty of supply,,,1.0,,,,,,,,,,,,for decoding refer to the u_cod_speciali_spa table -SPECIALISTICA,SPECIALISTICA,CODPRESTAZIONE,Codice della prestazione,,,1.0,,,,,,,"Plus local specifications, Messina has the local codebook",,,,,Italian coding system -SPECIALISTICA,SPECIALISTICA,COSTO_TOT,Costo totale degli esami,,,1.0,,,,,,,,,,,, -SPECIALISTICA,SPECIALISTICA,COSTO_U,Costo dell’esame,,,1.0,,,,,,,,,,,, -SPECIALISTICA,SPECIALISTICA,DATANASCITA,Data di nascita,,,1.0,,,,,,,,,,,, -SPECIALISTICA,SPECIALISTICA,DATAPRESCRIZIONE,Data della prescrizione,,,1.0,,,,,,,,,,,, -SPECIALISTICA,SPECIALISTICA,DATAPRESTAZIONE,Data della prestazione,,,1.0,,,,,,,,,,,, -SPECIALISTICA,SPECIALISTICA,PATID,Codice identificativo paziente criptato,,,1.0,,,,,,,,,,,, -SPECIALISTICA,SPECIALISTICA,Q_PREST,Numero di esami,,,1.0,,,,,,,,,,,, -SPF,SPF,cod_atc5,,,,1.0,,,,,,,,,,,, + performance / product administration",,,1.0,,,,,,,,,,,,date in ddmmyyyy format,False,,,,, +SPA,SPA,iduni,subject identifier,,,1.0,,,,,,,subject unique identifier,,,,,,False,,,,, +SPA,SPA,speciali,Specialty of supply,,,1.0,,,,,,,,,,,,for decoding refer to the u_cod_speciali_spa table,False,,,,, +SPECIALISTICA,SPECIALISTICA,CODPRESTAZIONE,Codice della prestazione,,,1.0,,,,,,,"Plus local specifications, Messina has the local codebook",,,,,Italian coding system,False,,,,, +SPECIALISTICA,SPECIALISTICA,COSTO_TOT,Costo totale degli esami,,,1.0,,,,,,,,,,,,,False,,,,, +SPECIALISTICA,SPECIALISTICA,COSTO_U,Costo dell’esame,,,1.0,,,,,,,,,,,,,False,,,,, +SPECIALISTICA,SPECIALISTICA,DATANASCITA,Data di nascita,,,1.0,,,,,,,,,,,,,False,,,,, +SPECIALISTICA,SPECIALISTICA,DATAPRESCRIZIONE,Data della prescrizione,,,1.0,,,,,,,,,,,,,False,,,,, +SPECIALISTICA,SPECIALISTICA,DATAPRESTAZIONE,Data della prestazione,,,1.0,,,,,,,,,,,,,False,,,,, +SPECIALISTICA,SPECIALISTICA,PATID,Codice identificativo paziente criptato,,,1.0,,,,,,,,,,,,,False,,,,, +OOM,EUROCAT,socf,,,,2.2,,,,,,false,"SOCIOECONOMIC STATUS OF FATHER +As SOCM.",,"0 = Single mother,no father recorded +1 = Upper non-manual +2 = Lower non-manual +3 = Skilled manual +4 = Unskilled manual +5 – Self employed/artisan +6 = Farmer +8 = Other/Student +9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +SPECIALISTICA,SPECIALISTICA,Q_PREST,Numero di esami,,,1.0,,,,,,,,,,,,,False,,,,, +SPF,SPF,cod_atc5,,,,1.0,,,,,,,,,,,,,False,,,,, SPF,SPF,codfarm,"code of the drug supplied (AIC code with - one 0 in front)",,,1.0,,,,,,,,,,,,(u_cod_farmaci_spf bind for the field cod_prestazione) + one 0 in front)",,,1.0,,,,,,,,,,,,(u_cod_farmaci_spf bind for the field cod_prestazione),False,,,,, SPF,SPF,dataero,date of supply of the drug,,,1.0,,,,,,,,,,,,"format dd / mm / yyyy - Since the reimbursement of the recipes can be requested up to 12 months after the delivery date, the date field can contain a date referring to the birthday before the one sent" -SPF,SPF,iduni,subject identification,,,1.0,,,,,,,,,,,, -SPF,SPF,numfarm,number of pieces of the drug dispensed,,,1.0,,,,,,,,,,,, -VCN,VCN,cod_atc_vaccino,vaccine atc code,,,1.0,,,,,,,Nome corretto di COD_ATC5,,,,, -VCN,VCN,cod_prestazione_vaccino,vaccine performance code,,,1.0,,,,,,,Nome corretto di COD_PREST_VACCINO,,,,, -VCN,VCN,data_somministrazione,given administration,,,1.0,,,,,,,,,,,, -VCN,VCN,data_ultimo_evento,last event date,,,1.0,,,,,,,,,,,, -VCN,VCN,dose_somministrata,dose aministered,,,1.0,,,,,,,,,,,, -VCN,VCN,id_prestazione,unique identification of the service,,,1.0,,,,,,,unique key of the table,,,,, -VCN,VCN,iduni,,,,1.0,,,,,,,,,,,, -VCN,VCN,num_lotto,vaccine lot number,,,1.0,,,,,,,,,,,, -VCN,VCN,titolare_aic,,,,1.0,,,,,,,,,,,, -OOM_CDM,CDM_SOURCE,cdm_version,,,,2.2,,character,,,,true,version of the ConcePTION CDM vocabularythis instance conforms to.,,"v2.01,v2.2",,, -OOM_CDM,CDM_SOURCE,cdm_vocabulary_version,,,,2.2,,character,,,,true,version of the ConcePTION CDM this instance conforms to.,,"v2.0,v2.2",,, -OOM_CDM,CDM_SOURCE,data_access_provider_code,,,,2.2,,character,,,,true,Code of this DAP organization in the ConcePTION coding system,,"1,22",,, -OOM_CDM,CDM_SOURCE,data_access_provider_name,,,,2.2,,character,,,,true,Name of the DAP organization,,"USWAN,ARS",,, -OOM_CDM,CDM_SOURCE,data_dictionary_link,,,,2.2,,character,,,,false,link to a source where the data dictionary of the original data source can be found,,,,, -OOM_CDM,CDM_SOURCE,data_source_name,,,,2.2,,character,,,,true,Name of the DAP datasource whose subset populates this instance of the CDM (if any),,"POMMES,SIDIAP",,, -OOM_CDM,CDM_SOURCE,instance_number,,,,2.2,,integer,,,,true,Sequential number of the instances of the CDM that the DAP data_access_provider_code has created on date_creation date from the datasource data_source_name it has access to,,1,,, -OOM_CDM,CDM_SOURCE,recommended_end_date,,,,2.2,,datetime,,,,true,recommended end date for studies using this instance,,20200531,,, -OOM_CDM,EUROCAT,agedisc,,,,2.2,,,,,,true,"IF PRENATALLY DIAGNOSED, GESTATIONAL AGE AT DISCOVERY IN COMPLETED WEEKS + Since the reimbursement of the recipes can be requested up to 12 months after the delivery date, the date field can contain a date referring to the birthday before the one sent",False,,,,, +SPF,SPF,iduni,subject identification,,,1.0,,,,,,,,,,,,,False,,,,, +SPF,SPF,numfarm,number of pieces of the drug dispensed,,,1.0,,,,,,,,,,,,,False,,,,, +VCN,VCN,cod_atc_vaccino,vaccine atc code,,,1.0,,,,,,,Nome corretto di COD_ATC5,,,,,,False,,,,, +VCN,VCN,cod_prestazione_vaccino,vaccine performance code,,,1.0,,,,,,,Nome corretto di COD_PREST_VACCINO,,,,,,False,,,,, +VCN,VCN,data_somministrazione,given administration,,,1.0,,,,,,,,,,,,,False,,,,, +VCN,VCN,data_ultimo_evento,last event date,,,1.0,,,,,,,,,,,,,False,,,,, +VCN,VCN,dose_somministrata,dose aministered,,,1.0,,,,,,,,,,,,,False,,,,, +VCN,VCN,id_prestazione,unique identification of the service,,,1.0,,,,,,,unique key of the table,,,,,,False,,,,, +VCN,VCN,iduni,,,,1.0,,,,,,,,,,,,,False,,,,, +VCN,VCN,num_lotto,vaccine lot number,,,1.0,,,,,,,,,,,,,False,,,,, +VCN,VCN,titolare_aic,,,,1.0,,,,,,,,,,,,,False,,,,, +OOM,CDM_SOURCE,cdm_version,,,,2.2,,character,,,,true,version of the ConcePTION CDM vocabularythis instance conforms to.,,"v2.01,v2.2",,,,False,,,,, +OOM,CDM_SOURCE,cdm_vocabulary_version,,,,2.2,,character,,,,true,version of the ConcePTION CDM this instance conforms to.,,"v2.0,v2.2",,,,False,,,,, +OOM,CDM_SOURCE,data_access_provider_code,,,,2.2,,character,,,,true,Code of this DAP organization in the ConcePTION coding system,,"1,22",,,,False,,,,, +OOM,CDM_SOURCE,data_access_provider_name,,,,2.2,,character,,,,true,Name of the DAP organization,,"USWAN,ARS",,,,False,,,,, +OOM,CDM_SOURCE,data_dictionary_link,,,,2.2,,character,,,,false,link to a source where the data dictionary of the original data source can be found,,,,,,False,,,,, +OOM,CDM_SOURCE,data_source_name,,,,2.2,,character,,,,true,Name of the DAP datasource whose subset populates this instance of the CDM (if any),,"POMMES,SIDIAP",,,,False,,,,, +OOM,CDM_SOURCE,instance_number,,,,2.2,,integer,,,,true,Sequential number of the instances of the CDM that the DAP data_access_provider_code has created on date_creation date from the datasource data_source_name it has access to,,1,,,,False,,,,, +OOM,CDM_SOURCE,recommended_end_date,,,,2.2,,datetime,,,,true,recommended end date for studies using this instance,,20200531,,,,False,,,,, +OOM,EUROCAT,agedisc,,,,2.2,,,,,,true,"IF PRENATALLY DIAGNOSED, GESTATIONAL AGE AT DISCOVERY IN COMPLETED WEEKS GA as defined in variable gestlength. Gestational age at which the fetus was first suspected to be malformed (EXCLUDING soft markers). Indicate time of examination rather than time when result known. -If no prenatal diagnosis please leave blank.",,Table reference: EUROCAT/EUROmediCAT. 99 = Not known,,, -OOM_CDM,EUROCAT,agemo,,,,2.2,,,,,,true,"AGE OF THE MOTHER AT DELIVERY +If no prenatal diagnosis please leave blank.",,Table reference: EUROCAT/EUROmediCAT. 99 = Not known,,,,False,,,,, +OOM,EUROCAT,agemo,,,,2.2,,,,,,true,"AGE OF THE MOTHER AT DELIVERY In completed years at the time of delivery. If only the year of birth is available, assume that the mother was born on -30 June.",,Table reference: EUROCAT/EUROmediCAT. 99 = Not known,,, -OOM_CDM,EUROCAT,assconcept,,,,2.2,,,,,,false,"ASSISTED CONCEPTION +30 June.",,Table reference: EUROCAT/EUROmediCAT. 99 = Not known,,,,False,,,,, +OOM,EUROCAT,assconcept,,,,2.2,,,,,,false,"ASSISTED CONCEPTION IVF = In vitro fertilization GIFT = Gamete intra fallopian transfer ICSI = Intracytoplasmic sperm injection",,"0 = No @@ -5340,34 +5491,34 @@ ICSI = Intracytoplasmic sperm injection",,"0 = No 6 = Egg donation 8 = Other 9 = Not known -10 = Assisted conception,type unknown,Table reference: EUROCAT",,, -OOM_CDM,EUROCAT,birthdate,,,,2.2,,,,,,true,"DATE OF BIRTH +10 = Assisted conception,type unknown,Table reference: EUROCAT",,,,False,,,,, +OOM,EUROCAT,birthdate,,,,2.2,,,,,,true,"DATE OF BIRTH Please enter dates as a numeric string, not in date format (eg. do not use 28/02/89 or 28-02-89, instead use 280289).",,"Table reference: EUROCAT/EUROmediCAT. Day,month,year 99 = Not known for day and month -DO NOT TRANSMIT RECORDS IF YEAR OF BIRTH IS NOT KNOWN",,, -OOM_CDM,EUROCAT,bmi,,,,2.2,,,,,,false,"MATERNAL BODY MASS INDEX +DO NOT TRANSMIT RECORDS IF YEAR OF BIRTH IS NOT KNOWN",,,,False,,,,, +OOM,EUROCAT,bmi,,,,2.2,,,,,,false,"MATERNAL BODY MASS INDEX Enter BMI (2 digits). The EDMP will also allow entry of maternal height (in centimetres) and weight (in kilograms) and calculate BMI automatically. Values measured at first antenatal visit are preferred, but pre-pregnancy self-reported values may be given. If mother known to be obese, enter code for obesity E660 in maternal illness before pregnancy (variable 60) Whilst BMI is a new variable in Guide 1.4 (for cases born from 2013 onwards) if any registry has this information for previous cases, EUROCAT is interested in collecting this information from 2005 onwards",,"Table reference: EUROCAT/EUROmediCAT. 2 digits Expected range 15 – 50 97 = exact BMI NK but <30 98 = exact BMI NK but >=30 -99 = Not known",,, -OOM_CDM,EUROCAT,centre,,,,2.2,,,,,,true,CENTRE NUMBER,,Table reference: EUROCAT/EUROmediCAT. Code allocated by Central Registry,,, -OOM_CDM,EUROCAT,civreg,,,,2.2,,,,,,true,"CIVIL REGISTRATION STATUS +99 = Not known",,,,False,,,,, +OOM,EUROCAT,centre,,,,2.2,,,,,,true,CENTRE NUMBER,,Table reference: EUROCAT/EUROmediCAT. Code allocated by Central Registry,,,,False,,,,, +OOM,EUROCAT,civreg,,,,2.2,,,,,,true,"CIVIL REGISTRATION STATUS Livebirths and stillbirths are civilly registered leading to either a birth or stillbirth certificate and appear in official birth statistics for your region. Code here whether this case fulfilled the conditions for live or stillbirth registration in your country.",,"1 = Livebirth 2 = Stillbirth 3 = No civil registration -9 = Not known,Table reference: EUROCAT",,, -OOM_CDM,EUROCAT,premal1,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION +9 = Not known,Table reference: EUROCAT",,,,False,,,,, +OOM,EUROCAT,premal1,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally 2 = No,this anomaly was diagnosed postnatally 3 = This anomaly partially prenatally diagnosed -9 =Not known,Table reference: EUROCAT AS PRESYN",,, -OOM_CDM,EUROCAT,sib3,,,,2.2,,,,,,false,AS SIB1,,Table reference: EUROCAT/EUROmediCAT. Local ID,,, -OOM_CDM,EUROCAT,death_date,,,,2.2,,,,,,false,"DATE OF DEATH +9 =Not known,Table reference: EUROCAT AS PRESYN",,,,False,,,,, +OOM,EUROCAT,sib3,,,,2.2,,,,,,false,AS SIB1,,Table reference: EUROCAT/EUROmediCAT. Local ID,,,,False,,,,, +OOM,EUROCAT,death_date,,,,2.2,,,,,,false,"DATE OF DEATH For livebirths only. Please enter dates as a numeric string, not in date format (eg. do not use 28/02/89 or 28-02-89, instead use 280289).",,"Table reference: EUROCAT Day,month,year 99= Died,not known day or month @@ -5375,8 +5526,8 @@ Please enter dates as a numeric string, not in date format (eg. do not use 28/02 Do not use 99 for “not known” year of death,as this will be read as died in 1999,day and month not known. 222222= Known to be alive at 1 year 333333= Not -known if alive or dead at 1 year",,, -OOM_CDM,EUROCAT,drugs1,,,,2.2,,,,,,false,"DRUGS - 7 DIGITS MAXIMUM +known if alive or dead at 1 year",,,,False,,,,, +OOM,EUROCAT,drugs1,,,,2.2,,,,,,false,"DRUGS - 7 DIGITS MAXIMUM Record any drug taken by the mother during the first trimester of pregnancy (from the 1st day of last menstrual period up to the 12th week of gestation). Drugs with long elimination half time and taken before conception should also be recorded (eg. Acitretin, etretinate etc). If it is not known in which trimester the drug was taken, and this information cannot be obtained, code it but write in the space for comments that it is not sure whether the drug was taken in the first trimester. @@ -5393,16 +5544,16 @@ Details on the dosage and timing should be given in text variable 55. Do not for Only drugs taken at physiologic doses to be recorded. If a drug overdose or self-poisoning, this MUST be explained in text in Variable 55.",,"Table reference: EUROCAT/EUROmediCAT. 0 = No drugs used -9 = Not known",,, -OOM_CDM,EUROCAT,drugs2,,,,2.2,,,,,,false,"AS FOR DRUGS1 -Please give details in text variable 57 SP_DRUGS2.",,Table reference: EUROCAT/EUROmediCAT. As for DRUGS1,,, -OOM_CDM,EUROCAT,drugs3,,,,2.2,,,,,,false,"AS FOR DRUGS1 -Please give details in text variable 59 SP_DRUGS3.",,Table reference: EUROCAT/EUROmediCAT. As for DRUGS1,,, -OOM_CDM,EUROCAT,drugs4,,,,2.2,,,,,,false,"AS FOR DRUGS1 -Please give details in text variable 61 SP_DRUGS3.",,Table reference: EUROCAT/EUROmediCAT. As for DRUGS1,,, -OOM_CDM,EUROCAT,drugs5,,,,2.2,,,,,,false,"AS FOR DRUGS1 -Please give details in text variable 63 SP_DRUGS3.",,Table reference: EUROCAT/EUROmediCAT. As for DRUGS1,,, -OOM_CDM,EUROCAT,extra-drugs,,,,2.2,,,,,,false,"EXTRA DRUGS +9 = Not known",,,,False,,,,, +OOM,EUROCAT,drugs2,,,,2.2,,,,,,false,"AS FOR DRUGS1 +Please give details in text variable 57 SP_DRUGS2.",,Table reference: EUROCAT/EUROmediCAT. As for DRUGS1,,,,False,,,,, +OOM,EUROCAT,drugs3,,,,2.2,,,,,,false,"AS FOR DRUGS1 +Please give details in text variable 59 SP_DRUGS3.",,Table reference: EUROCAT/EUROmediCAT. As for DRUGS1,,,,False,,,,, +OOM,EUROCAT,drugs4,,,,2.2,,,,,,false,"AS FOR DRUGS1 +Please give details in text variable 61 SP_DRUGS3.",,Table reference: EUROCAT/EUROmediCAT. As for DRUGS1,,,,False,,,,, +OOM,EUROCAT,drugs5,,,,2.2,,,,,,false,"AS FOR DRUGS1 +Please give details in text variable 63 SP_DRUGS3.",,Table reference: EUROCAT/EUROmediCAT. As for DRUGS1,,,,False,,,,, +OOM,EUROCAT,extra-drugs,,,,2.2,,,,,,false,"EXTRA DRUGS This field is only to be used if drug fields 1-5 have already been filled. Record any drug taken by the mother during the first trimester of pregnancy (from the 1st day of last menstrual period up to the 12th week of gestation). Drugs with long elimination half time and taken before conception should also be recorded (eg. Acitretin, etretinate etc). @@ -5430,10 +5581,10 @@ If more than one extra drug is to be imported for a single case, then enter the For example a case with valproate and lamotrigine exposure is entered in the extra_drugs field as: -(See chapter 2.4 of EDMP User Guide for further guidance)",,Table reference: EUROCAT/EUROmediCAT.,,, -OOM_CDM,EUROCAT,malfo7,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,, -OOM_CDM,EUROCAT,malfo8,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,, -OOM_CDM,EUROCAT,matdiab,,,,2.2,,,,,,false,"MATERNAL PREGESTATIONAL DIABETES +(See chapter 2.4 of EDMP User Guide for further guidance)",,Table reference: EUROCAT/EUROmediCAT.,,,,False,,,,, +OOM,EUROCAT,malfo7,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,,,False,,,,, +OOM,EUROCAT,malfo8,,,,2.2,,,,,,true,AS MALFO1,,Table reference: EUROCAT/EUROmediCAT. As MALF01,,,,False,,,,, +OOM,EUROCAT,matdiab,,,,2.2,,,,,,false,"MATERNAL PREGESTATIONAL DIABETES This variable is specifically for pregestational diabetes. Gestational diabetes is dealt with under the ‘illness during pregnancy’ variable (variable 64) Type 1 diabetes: characterized by hyperglycemia due to an absolute deficiency of the insulin hormone produced by the pancreas @@ -5451,171 +5602,26 @@ Impaired Glucose Intolerance is a state of higher than normal blood (or plasma) 4 = Yes,type not known 5 = No,but impaired glucose intolerance 6 = No pregestational diabetes -9 = Not known,Table reference: EUROCAT",,, -OOM_CDM,EUROCAT,matedu,,,,2.2,,,,,,false,"MATERNAL EDUCATION -Refer to International Standard Classification of Education 1997 for more information and Kunst et al (2001). - -Assign according to the highest level of education completed (or for full-time students, level in progress). - -Elementary and lower secondary refers to the period of compulsory education, usually to age 15/16. Upper secondary refers to the last two school or college years (usually to age 18) preparing students for tertiary education or the workforce. Tertiary refers to Bachelor’s degree (English), Diploma (German), License (French) or equivalent, and to higher degrees (eg. doctorates), or to other forms of higher education.",,"1 = Elementary and lower secondary -2 = Upper secondary -3 = Tertiary -9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EUROCAT,migrant,,,,2.2,,,,,,false,"MIGRANT STATUS -This variable is included to allow assessment of the extent to which services such as prenatal screening are reaching migrants. It does not ask for ethnicity. - -If code 4, give text details in the general comments section (variable 79).",,"1 = Mother migrated from outside EU during pregnancy -2 = Mother migrated from outside EU during adult life (from age 18) -3 = Mother not a migrant as defined in 1 or 2 -4 = Other (specify in text) -9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EUROCAT,moanom,,,,2.2,,,,,,false,"MOTHER’S FAMILY WITH ANOMALIES -Include mother herself as well as mother’s family. Specify type of anomaly in written text and relation to the infant. - -If the aetiology is known, “same” means the same aetiology, even if the spectrum of malformations present is slightly different. - -If the aetiology is unknown or multifactorial, “same” is a matter of judgment by a qualified coder, but full specification of the anomaly should be given, whether other or the same. - -“Same and other” refers to two different relatives. If a relative has both the same and another anomaly, code “same”. - -Restrict the family to first, second and third degree relatives (mother, father, siblings, grandparents, aunts, uncles, half-siblings, first cousins). - -Always give details in text variable 73 SP_MOANOM.",,"1 = Same -2 = Other -3 = Same and other -4 = No -9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EUROCAT,person_id_child,,,,2.2,,,,,,false,"If the datasource contains other tables beyond EUROCAT, indicate here the identifier of the child that is used in the other tables",,"Table reference: EUROCAT/EUROmediCAT. If the datasource contains other tables beyond EUROCAT,the proportion of rows that have a valid value in this field is a quality indicator",,, -OOM_CDM,EUROCAT,pm,,,,2.2,,,,,,false,"POST MORTEM EXAMINATION -If performed record the malformation(s) discovered in the “malformation” section in the form. If other findings record in the “comments” space (variable 80). - -“Results known” means that the autopsy record has been reviewed by the registry. - -“Results not known” means that the autopsy record was not available to the registry. - -“Macerated fetus” means that although a post mortem was performed, maceration of the fetus prevented a full protocol from being followed.",,"1 = Performed,results known -2 = Performed,results not known -3 = Not performed -4 = Macerated fetus -9 = Not known,Table reference: EUROCAT/EUROmediCAT.""",,, -OOM_CDM,EUROCAT,premal3,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION -AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally -2 = No,this anomaly was diagnosed postnatally -3 = This anomaly partially prenatally diagnosed -9 =Not known,Table reference: EUROCAT AS PRESYN",,, -OOM_CDM,EUROCAT,premal4,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION -AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally -2 = No,this anomaly was diagnosed postnatally -3 = This anomaly partially prenatally diagnosed -9 =Not known,Table reference: EUROCAT AS PRESYN",,, -OOM_CDM,EUROCAT,premal5,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION -AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally -2 = No,this anomaly was diagnosed postnatally -3 = This anomaly partially prenatally diagnosed -9 =Not known,Table reference: EUROCAT AS PRESYN",,, -OOM_CDM,EUROCAT,premal6,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION -AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally -2 = No,this anomaly was diagnosed postnatally -3 = This anomaly partially prenatally diagnosed -9 =Not known,Table reference: EUROCAT AS PRESYN",,, -OOM_CDM,EUROCAT,premal7,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION -AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally -2 = No,this anomaly was diagnosed postnatally -3 = This anomaly partially prenatally diagnosed -9 =Not known,Table reference: EUROCAT AS PRESYN",,, -OOM_CDM,EUROCAT,premal8,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR MALFORMATION -AS PRESYN",,"1 = Yes,this anomaly was diagnosed prenatally -2 = No,this anomaly was diagnosed postnatally -3 = This anomaly partially prenatally diagnosed -9 =Not known,Table reference: EUROCAT AS PRESYN",,, -OOM_CDM,EUROCAT,presyn,,,,2.2,,,,,,false,"PRENATAL DIAGNOSIS FOR SYNDROME -When each anomaly was first diagnosed. -The basis for this variable is to record whether the prenatal findings strongly suggest the postnatal diagnosis. This variable is not designed for fetal medicine specialists to assess the accuracy of their prenatal diagnosis. Thus the finding of a significant heart anomaly prenatally is considered to be prenatally detected, even if the exact anomaly was not correctly diagnosed. ‘Yes, prenatally diagnosed’, should be used when the prenatal finding is nearly 100% predictive of the congenital anomaly. ‘Partially’ means that the prenatal finding is consistent with the postnatal anomaly but has a lesser predictive value, being suggestive of more than one type of anomaly, an example here would be increased nuchal translucency. The examples below are to illustrate this principle and ensure consistency of coding. Queries about individual cases can be send to Central registry",,"1 = Yes,this anomaly was diagnosed prenatally -2 = No,this anomaly was diagnosed postnatally -3 = This anomaly partially prenatally diagnosed -9 =Not known,Table reference: EUROCAT",,, -OOM_CDM,EUROCAT,prevsib,,,,2.2,,,,,,false,"PREVIOUS MALFORMED SIBLINGS NOTIFIED TO EUROCAT -If yes, give the local ID number in variables SIB1, SIB2 or SIB3 (variables 69-71). - -Include malformed co-twins or siblings from the same pregnancy, irrespective of birth order within multiple set. - -Exclude, conjoined twin.",,"1 = Yes -2 = No -9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EUROCAT,residmo,,,,2.2,,,,,,false,"MOTHER’S RESIDENCE CODE -Use local code for locality of residence at time of delivery.",,Table reference: EUROCAT Local code (up to 10 digits),,, -OOM_CDM,EUROCAT,sex,,,,2.2,,,,,,true,"SEX -Indicate chromosomal sex, if known, in case of ambiguous genitalia and code malformations in variables 29-44. - -Indicate indeterminate sex in case of ambiguous genitalia with unknown or abnormal sex chromosome complement. - -If sex could not be determined at autopsy due to maceration or other problems, indicate as “not known”.",,"1 = Male -2 = Female -3 = Indeterminate -9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EUROCAT,sib1,,,,2.2,,,,,,false,"SIB LOCAL ID NUMBER NOTIFIED TO THE CENTRAL REGISTRY -Enter here also the code numbers of co-twins or siblings from the same pregnancy, irrespective of birth order within multiple sets. - -Leave blank if no previous siblings notified to EUROCAT.",,Table reference: EUROCAT/EUROmediCAT. Local ID,,, -OOM_CDM,EUROCAT,sibanom,,,,2.2,,,,,,false,"SIBS WITH ANOMALIES -If the sibling (including twin) was notified to EUROCAT fill in variables 68-71 below. Make sure that the local identification numbers given correspond to those in the central database; otherwise give more information in text here. - -If previous siblings were not notified to EUROCAT specify in text SP_SIBANOM the year of birth and malformations of each sibling. - -If one sibling has both the same anomaly and a different anomaly, code under “same”. If one sibling has the same anomaly and another sibling has a different anomaly, code under “same and other” - -Always give details in text variable 66 SP_SIBANOM",,"1 = Same -2 = Other -3 = Same and other -4 = No -9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EUROCAT,socf,,,,2.2,,,,,,false,"SOCIOECONOMIC STATUS OF FATHER -As SOCM.",,"0 = Single mother,no father recorded -1 = Upper non-manual -2 = Lower non-manual -3 = Skilled manual -4 = Unskilled manual -5 – Self employed/artisan -6 = Farmer -8 = Other/Student -9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EUROCAT,socm,,,,2.2,,,,,,false,"SOCIOECONOMIC STATUS OF MOTHER -Current or last occupation. - -Upper non-manual – professionals, administrators and managers eg. doctor, architect, lawyer, banker, manager, teacher, nurse, performer. -Lower non-manual – routine non-manual eg. Book-keeper, salesman, receptionist, secretary, computer operator, clerk, waiter. -Skilled manual – cook, butcher, carpenter. -Unskilled manual – semi and unskilled manual eg. factory worker, driver, agricultural worker, porter. -Self employed/artisan – owner of shop, restaurant or hotel, independent artisan. -Farmer – eg. self-employed farmer or fisherman. - -If code 8 (“other/student”), please specify in text in space for general comments (variable 80). -For further information see Kunst et al (2001)",,"1 = Upper non-manual -2 = Lower non-manual -3 = Skilled manual -4 = Unskilled manual -5 – Self employed/artisan -6 = Farmer -8 = Other/Student,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EUROCAT,sp-syndrome,,,,2.2,,,,,,true,"SPECIFY SYNDROME +9 = Not known,Table reference: EUROCAT",,,,False,,,,, +OOM,EUROCAT,sp-syndrome,,,,2.2,,,,,,true,"SPECIFY SYNDROME -Written text description of the ICD10 code in variable 30",,Table reference: EUROCAT/EUROmediCAT.,,, -OOM_CDM,EUROCAT,sp_consang,,,,2.2,,,,,,false,SPECIFY TEXT INFORMATION ON CONSANGUINITY,,Table reference: EUROCAT Free text,,, -OOM_CDM,EUROCAT,sp_faanom,,,,2.2,,,,,,false,SPECIFY TYPE OF ANOMALY AND DESCRIBE THE MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,sp_firstpre,,,,2.2,,,,,,false,"SPECIFY “OTHER” FIRST PRENATAL TEST -If FIRSTPRE = 7, specify which positive prenatal test",,Table reference: EUROCAT Free text,,, -OOM_CDM,EUROCAT,sp_gentest,,,,2.2,,,,,,false,"SPECIFY TYPE OF GENETIC TEST +Written text description of the ICD10 code in variable 30",,Table reference: EUROCAT/EUROmediCAT.,,,,False,,,,, +OOM,EUROCAT,sp_consang,,,,2.2,,,,,,false,SPECIFY TEXT INFORMATION ON CONSANGUINITY,,Table reference: EUROCAT Free text,,,,False,,,,, +OOM,EUROCAT,sp_faanom,,,,2.2,,,,,,false,SPECIFY TYPE OF ANOMALY AND DESCRIBE THE MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,sp_firstpre,,,,2.2,,,,,,false,"SPECIFY “OTHER” FIRST PRENATAL TEST +If FIRSTPRE = 7, specify which positive prenatal test",,Table reference: EUROCAT Free text,,,,False,,,,, +OOM,EUROCAT,sp_gentest,,,,2.2,,,,,,false,"SPECIFY TYPE OF GENETIC TEST Give method used and the result of the test (type of mutation and which gene) -Examples: Single gene analysis, exome sequencing, whole genome sequencing",,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,INSTANCE,source_table_name,,,,2.2,,character,,,,true,Table of the local dictionary that is used in ETL,,"SDO,EUROmediCAT",,, -OOM_CDM,INSTANCE,up_to_when_data_complete,,,,2.2,,datetime,,,,,Date up to when the DAP considers this column to contain complete data,,,,, -OOM_CDM,MEDICAL_OBSERVATIONS,mo_code,,,,2.2,,character,,,,false,,,"99.7.14,49004-5",,, -OOM_CDM,MEDICAL_OBSERVATIONS,mo_date,,,,2.2,,datetime,,,,true,,,,,, -OOM_CDM,MEDICAL_OBSERVATIONS,mo_meaning,,,,2.2,,character,,,,true,,,,,, -OOM_CDM,MEDICAL_OBSERVATIONS,mo_origin,,,,2.2,,character,,,,true,name of the source table that originated the record,,,,, -OOM_CDM,EUROCAT,sp_karyo,,,,2.2,,,,,,false,"SPECIFY KARYOTYPE OR CHROMOSOMAL MICROARRAY +Examples: Single gene analysis, exome sequencing, whole genome sequencing",,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,INSTANCE,source_table_name,,,,2.2,,character,,,,true,Table of the local dictionary that is used in ETL,,"SDO,EUROmediCAT",,,,False,,,,, +OOM,INSTANCE,up_to_when_data_complete,,,,2.2,,datetime,,,,,Date up to when the DAP considers this column to contain complete data,,,,,,False,,,,, +OOM,MEDICAL_OBSERVATIONS,mo_code,,,,2.2,,character,,,,false,,,"99.7.14,49004-5",,,,False,,,,, +OOM,MEDICAL_OBSERVATIONS,mo_date,,,,2.2,,datetime,,,,true,,,,,,,False,,,,, +OOM,MEDICAL_OBSERVATIONS,mo_meaning,,,,2.2,,character,,,,true,,,,,,,False,,,,, +OOM,MEDICAL_OBSERVATIONS,mo_origin,,,,2.2,,character,,,,true,name of the source table that originated the record,,,,,,False,,,,, +OOM,EUROCAT,sp_karyo,,,,2.2,,,,,,false,"SPECIFY KARYOTYPE OR CHROMOSOMAL MICROARRAY EXAMPLES: 47,XY,+21 46,XX,del(2)(p13p23)mat Description: An interstitial deletion resulting from mal-segregation of a maternal insertion @@ -5623,30 +5629,30 @@ EXAMPLES: arr(1–22)×3,(X)×2,(Y)×1 Description: Microarray analysis shows triploidy 69,XXY arr(8)×3,(21)×3 Description: Microarray analysis shows a single copy gain of chromosomes 8 and 21. 46,XY.rsa(13,18,21)×2,(X,Y)×1 Descritption: normal chromosomes, only chromosome 13,18,21, X and Y investigated -rsa 22q11.2(‘kit name’)×1 Description: microdeletion 22q.11.2 diagnosed by multiple ligation probe amplification method (MLPA)",,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,sp_malfo1,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,sp_malfo2,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,sp_malfo3,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,sp_malfo4,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,sp_malfo5,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,sp_malfo6,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,sp_malfo7,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,sp_malfo8,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,sp_moanom,,,,2.2,,,,,,false,SPECIFY TYPE OF ANOMALY AND DESCRIBE THE MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,sp_sibanom,,,,2.2,,,,,,false,SPECIFY TYPE OF ANOMALY OF SIBLINGS,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,sp_twin,,,,2.2,,,,,,false,"SPECIFY TWIN TYPE OF BIRTH (malformed and non-malformed), -like or unlike sex, zygosity",,Table reference: EUROCAT Free text,,, -OOM_CDM,EUROCAT,spdrugs1,,,,2.2,,,,,,false,SPECIFY DRUG EXPOSURES,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,spdrugs2,,,,2.2,,,,,,false,SPECIFY DRUG EXPOSURES,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,spdrugs3,,,,2.2,,,,,,false,SPECIFY DRUG EXPOSURES,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,spdrugs4,,,,2.2,,,,,,false,SPECIFY DRUG EXPOSURES,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,EUROCAT,spdrugs5,,,,2.2,,,,,,false,SPECIFY DRUG EXPOSURES,,Table reference: EUROCAT/EUROmediCAT. Free text,,, -OOM_CDM,MEDICAL_OBSERVATIONS,mo_record_vocabulary,,,,2.2,,character,,,,false,,,"ITA_lab_coding_system,LOINC",,, -OOM_CDM,MEDICAL_OBSERVATIONS,mo_source_column,,,,2.2,,character,,,,false,,,creatinina,,, -OOM_CDM,MEDICAL_OBSERVATIONS,mo_source_table,,,,2.2,,character,,,,false,,,SDO,,, -OOM_CDM,MEDICAL_OBSERVATIONS,mo_source_value,,,,2.2,,character,,,,true,,,10,,, -OOM_CDM,MEDICAL_OBSERVATIONS,mo_unit,,,,2.2,,character,,,,false,,,mg/l,,, -OOM_CDM,EUROCAT,surgery,,,,2.2,,,,,,true,"FIRST SURGICAL PROCEDURE FOR MALFORMATION (PERFORMED OREXPECTED) +rsa 22q11.2(‘kit name’)×1 Description: microdeletion 22q.11.2 diagnosed by multiple ligation probe amplification method (MLPA)",,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,sp_malfo1,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,sp_malfo2,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,sp_malfo3,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,sp_malfo4,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,sp_malfo5,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,sp_malfo6,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,sp_malfo7,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,sp_malfo8,,,,2.2,,,,,,true,SPECIFY MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,sp_moanom,,,,2.2,,,,,,false,SPECIFY TYPE OF ANOMALY AND DESCRIBE THE MALFORMATION,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,sp_sibanom,,,,2.2,,,,,,false,SPECIFY TYPE OF ANOMALY OF SIBLINGS,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,sp_twin,,,,2.2,,,,,,false,"SPECIFY TWIN TYPE OF BIRTH (malformed and non-malformed), +like or unlike sex, zygosity",,Table reference: EUROCAT Free text,,,,False,,,,, +OOM,EUROCAT,spdrugs1,,,,2.2,,,,,,false,SPECIFY DRUG EXPOSURES,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,spdrugs2,,,,2.2,,,,,,false,SPECIFY DRUG EXPOSURES,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,spdrugs3,,,,2.2,,,,,,false,SPECIFY DRUG EXPOSURES,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,spdrugs4,,,,2.2,,,,,,false,SPECIFY DRUG EXPOSURES,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,EUROCAT,spdrugs5,,,,2.2,,,,,,false,SPECIFY DRUG EXPOSURES,,Table reference: EUROCAT/EUROmediCAT. Free text,,,,False,,,,, +OOM,MEDICAL_OBSERVATIONS,mo_record_vocabulary,,,,2.2,,character,,,,false,,,"ITA_lab_coding_system,LOINC",,,,False,,,,, +OOM,MEDICAL_OBSERVATIONS,mo_source_column,,,,2.2,,character,,,,false,,,creatinina,,,,False,,,,, +OOM,MEDICAL_OBSERVATIONS,mo_source_table,,,,2.2,,character,,,,false,,,SDO,,,,False,,,,, +OOM,MEDICAL_OBSERVATIONS,mo_source_value,,,,2.2,,character,,,,true,,,10,,,,False,,,,, +OOM,MEDICAL_OBSERVATIONS,mo_unit,,,,2.2,,character,,,,false,,,mg/l,,,,False,,,,, +OOM,EUROCAT,surgery,,,,2.2,,,,,,true,"FIRST SURGICAL PROCEDURE FOR MALFORMATION (PERFORMED OREXPECTED) If your registry does not have the resources to complete this variable for all cases, concentrate on malformations where a) performed or expected surgery indicates level of severity, for example hydrocephalus and hypospadias or b) where active decisions to withhold surgery may impact survival for example hypoplastic left heart The variable surgery does not include insertions of catheters. Performed (or expected) means that this case has already, or will at the appropriate age, have surgery for one or more of the listed malformations. “No surgery required” means that this case does not have a severe enough malformation, or that the malformation is not correctable by surgery. @@ -5656,9 +5662,9 @@ active decision to withhold surgery due to low chances of survival or very poor 3 = Prenatal surgery 4 = No surgery required 5= Too severe for surgery -9 = Not known,Table reference: EUROCAT",,, -OOM_CDM,EUROCAT,survey_id,,,,2.2,,,,,,false,external key to a SURVEY_ID.,,Table reference: EUROCAT/EUROmediCAT. This is only needed in those data sources where the congenital anomaly registry contains additional variables with respect to the EUROCAT standard,,, -OOM_CDM,EUROCAT,survival,,,,2.2,,,,,,true,"SURVIVAL BEYOND ONE WEEK OF AGE +9 = Not known,Table reference: EUROCAT",,,,False,,,,, +OOM,EUROCAT,survey_id,,,,2.2,,,,,,false,external key to a SURVEY_ID.,,Table reference: EUROCAT/EUROmediCAT. This is only needed in those data sources where the congenital anomaly registry contains additional variables with respect to the EUROCAT standard,,,,False,,,,, +OOM,EUROCAT,survival,,,,2.2,,,,,,true,"SURVIVAL BEYOND ONE WEEK OF AGE Yes = Child known to be alive after one week. No = Child known to have died before or during first week (including stillbirths and abortions). @@ -5672,8 +5678,8 @@ The definition of first week of life varies between countries. Follow your count Not known = Not known if child has died during first week.",,"1 = Yes 2 = No 3 = Alive at discharge <1 week -9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EUROCAT,syndrome,,,,2.2,,,,,,true,"SYNDROME OR ASSOCIATION +9 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +OOM,EUROCAT,syndrome,,,,2.2,,,,,,true,"SYNDROME OR ASSOCIATION Refer to EUROCAT Guide on syndromes. Give name of syndrome or association in text variable 28. All the anomalies observed by the local clinician should be coded in the remaining boxes for malformations. If not a recognised syndrome or association, leave blank. @@ -5687,8 +5693,8 @@ Local registries are advised to keep photographs and x-ray images of all syndrom dysmorphism.",,"Table reference: EUROCAT/EUROmediCAT. ICD 10 First 4 digits are ICD10 -5th digit = BPA supplement or leave blank",,, -OOM_CDM,EUROCAT,totpreg,,,,2.2,,,,,,false,"TOTAL NUMBER OF PREVIOUS PREGNANCIES +5th digit = BPA supplement or leave blank",,,,False,,,,, +OOM,EUROCAT,totpreg,,,,2.2,,,,,,false,"TOTAL NUMBER OF PREVIOUS PREGNANCIES NOTE – The current reported pregnancy is NOT included. Include all previous abortions whether spontaneous or induced. Multiple pregnancies count as 1 in the total",,"00 = None @@ -5696,8 +5702,8 @@ Include all previous abortions whether spontaneous or induced. Multiple pregnanc 02 = Two 03 = Three etc 20 = Twenty or more -99 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EUROCAT,type,,,,2.2,,,,,,true,"TYPE OF BIRTH +99 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +OOM,EUROCAT,type,,,,2.2,,,,,,true,"TYPE OF BIRTH Birth with type of birth not known should be transmitted to EUROCAT, but will be excluded from routine EUROCAT analysis. EUROCAT includes all livebirths, fetal deaths with gestational age (GA) ≥20 weeks and terminations of pregnancy (at any gestational age) after prenatal diagnosis of malformation. Fetal deaths with GA < 20 weeks (code = @@ -5714,14 +5720,14 @@ variables).",,"1 = Live birth 2 = Stillbirth 3 = Spontaneous abortion 4 = Termination of Pregnancy -5 = Not known,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EUROCAT,weight,,,,2.2,,,,,,true,"BIRTH WEIGHT +5 = Not known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +OOM,EUROCAT,weight,,,,2.2,,,,,,true,"BIRTH WEIGHT Give weight in grams.",,"Table reference: EUROCAT/EUROmediCAT. 9999 = Not known (Do not use 99 or 999 for “Not Known” as this will be considered the -birth weight).",,, -OOM_CDM,EUROCAT,whendisc,,,,2.2,,,,,,true,"WHEN DISCOVERED +birth weight).",,,,False,,,,, +OOM,EUROCAT,whendisc,,,,2.2,,,,,,true,"WHEN DISCOVERED When the baby was first suspected to be malformed. For prenatal diagnosis: when a major malformation was first suspected (EXCLUDING soft markers). If prenatal diagnosis is made when fetus is dead code 1 (for stillbirths) or 7 (for spontaneous abortions). @@ -5743,948 +5749,1356 @@ Please also complete variables 12 “SURVIVAL”, 13 “DEATH- DATE”, 19 “CO 9 = Not known 10 = Postnatal diagnosis,age not -known,Table reference: EUROCAT/EUROmediCAT.",,, -OOM_CDM,EVENTS,end_date_record,,,,2.2,,datetime,,,,false,End date of the visit that lead to the recording of the event code of free text,,,,, -OOM_CDM,EVENTS,event_code,,,,2.2,,character,,,,true,"Code characterizing the event according to the vocabulary defined in ""code_vocabulary""; Mandatory: Yes, unless 'free_text_event' is filled in",,,,, -OOM_CDM,EVENTS,event_free_text,,,,2.2,,character,,,,false,"Use this cell if in the record there is no code, just a text",,,,, -OOM_CDM,EVENTS,event_record_vocabulary,,,,2.2,,character,,,,true,"Vocabulary to which the 'code_event' belongs to; or, if ths record contains 'free_text_event' , this column contains the indication 'free_text'",,"ICD10,free_text",,, -OOM_CDM,EVENTS,meaning_of_event,,,,2.2,,character,,,,true,This is a ConcePTION classification of the nature of the original record associated with this event,,"primary_care_diagnosis,hospitalisation_primary",,, -OOM_CDM,EVENTS,origin_of_event,,,,2.2,,character,,,,true,This is a ConcePTION classification of the purpose why the record was recorded,,"primary_care_medical_record,claims",,, -OOM_CDM,EVENTS,person_id,,,,2.2,,character,,,,true,"A foreign key to the person in ""person"" table who experimented the event",,,,, -OOM_CDM,EVENTS,present_on_admission,,,,2.2,,character,,,,false,Indicates the presence of the event at the start of the visit or hospital admission,,,,, -OOM_CDM,EVENTS,start_date_record,,,,2.2,,datetime,,,,true,Start date of the visit that lead to the recording of the event code of free text,,,,, -OOM_CDM,EVENTS,text_linked_to_event_code,,,,2.2,,character,,,,false,"If in the original record the code is modified by a text, include this text here",,,,, -OOM_CDM,EVENTS,visit_occurrence_id,,,,2.2,,character,,,,false,A foreign key linking this record to the VISIT_OCCURRENCE table,,,,, -OOM_CDM,INSTANCE,date_when_data_last_updated,,,,2.2,,datetime,,,,,Date when the DAP last received this column,,,,, -OOM_CDM,INSTANCE,included_in_instance,,,,2.2,,character,,,,true,Specify whether this column of this table was used to populate this specific instance of the CDM,,,,, -OOM_CDM,INSTANCE,list_of_values,,,,2.2,,character,,,,false,List of values of this column that are included in this instance of the CDM,,"410*,A10*",,, -OOM_CDM,INSTANCE,restriction_condition,,,,2.2,,character,,,,false,Condition involving this column that restricted the data uploaded to the instance of the CDM,,,,, -OOM_CDM,INSTANCE,restriction_in_values,,,,2.2,,character,,,,,Whether the data uploaded in the CDM were selected based on values of this column,,,,, -OOM_CDM,INSTANCE,since_when_data_complete,,,,2.2,,datetime,,,,,Date since when the DAP considers this column to contain complete data,,,,, -OOM_CDM,MEDICAL_OBSERVATIONS,person_id,,,,2.2,,character,,,,true,A foreign key to the person in PERSONS table,,,,, -OOM_CDM,MEDICAL_OBSERVATIONS,visit_occurrence_id,,,,2.2,,character,,,,false,,,,,, -OOM_CDM,MEDICINES,date_dispensing,,,,2.2,,datetime,,,,true,"Date when the drug that lead to the recording was dispensed or administrated to the patient; Mandatory: Yes, unless 'date_prescription' is filled in",,[DATE_MEDICAMENT_DELIV] 20130313,,, -OOM_CDM,MEDICINES,date_prescription,,,,2.2,,datetime,,,,true,Date when the drug that lead to the recording was prescribed; Mandatory: Yes if 'date_dispensing' is missing,,"[DATE_MEDICAMENT_PRESCRI] +known,Table reference: EUROCAT/EUROmediCAT.",,,,False,,,,, +OOM,EVENTS,end_date_record,,,,2.2,,datetime,,,,false,End date of the visit that lead to the recording of the event code of free text,,,,,,False,,,,, +OOM,EVENTS,event_code,,,,2.2,,character,,,,true,"Code characterizing the event according to the vocabulary defined in ""code_vocabulary""; Mandatory: Yes, unless 'free_text_event' is filled in",,,,,,False,,,,, +OOM,EVENTS,event_free_text,,,,2.2,,character,,,,false,"Use this cell if in the record there is no code, just a text",,,,,,False,,,,, +OOM,EVENTS,event_record_vocabulary,,,,2.2,,character,,,,true,"Vocabulary to which the 'code_event' belongs to; or, if ths record contains 'free_text_event' , this column contains the indication 'free_text'",,"ICD10,free_text",,,,False,,,,, +OOM,EVENTS,meaning_of_event,,,,2.2,,character,,,,true,This is a ConcePTION classification of the nature of the original record associated with this event,,"primary_care_diagnosis,hospitalisation_primary",,,,False,,,,, +OOM,EVENTS,origin_of_event,,,,2.2,,character,,,,true,This is a ConcePTION classification of the purpose why the record was recorded,,"primary_care_medical_record,claims",,,,False,,,,, +OOM,EVENTS,person_id,,,,2.2,,character,,,,true,"A foreign key to the person in ""person"" table who experimented the event",,,,,,False,,,,, +OOM,EVENTS,present_on_admission,,,,2.2,,character,,,,false,Indicates the presence of the event at the start of the visit or hospital admission,,,,,,False,,,,, +OOM,EVENTS,start_date_record,,,,2.2,,datetime,,,,true,Start date of the visit that lead to the recording of the event code of free text,,,,,,False,,,,, +OOM,EVENTS,text_linked_to_event_code,,,,2.2,,character,,,,false,"If in the original record the code is modified by a text, include this text here",,,,,,False,,,,, +OOM,EVENTS,visit_occurrence_id,,,,2.2,,character,,,,false,A foreign key linking this record to the VISIT_OCCURRENCE table,,,,,,False,,,,, +OOM,INSTANCE,date_when_data_last_updated,,,,2.2,,datetime,,,,,Date when the DAP last received this column,,,,,,False,,,,, +OOM,INSTANCE,included_in_instance,,,,2.2,,character,,,,true,Specify whether this column of this table was used to populate this specific instance of the CDM,,,,,,False,,,,, +OOM,INSTANCE,list_of_values,,,,2.2,,character,,,,false,List of values of this column that are included in this instance of the CDM,,"410*,A10*",,,,False,,,,, +OOM,INSTANCE,restriction_condition,,,,2.2,,character,,,,false,Condition involving this column that restricted the data uploaded to the instance of the CDM,,,,,,False,,,,, +OOM,INSTANCE,restriction_in_values,,,,2.2,,character,,,,,Whether the data uploaded in the CDM were selected based on values of this column,,,,,,False,,,,, +OOM,INSTANCE,since_when_data_complete,,,,2.2,,datetime,,,,,Date since when the DAP considers this column to contain complete data,,,,,,False,,,,, +OOM,MEDICAL_OBSERVATIONS,person_id,,,,2.2,,character,,,,true,A foreign key to the person in PERSONS table,,,,,,False,,,,, +OOM,MEDICAL_OBSERVATIONS,visit_occurrence_id,,,,2.2,,character,,,,false,,,,,,,False,,,,, +OOM,MEDICINES,date_dispensing,,,,2.2,,datetime,,,,true,"Date when the drug that lead to the recording was dispensed or administrated to the patient; Mandatory: Yes, unless 'date_prescription' is filled in",,[DATE_MEDICAMENT_DELIV] 20130313,,,,False,,,,, +OOM,MEDICINES,date_prescription,,,,2.2,,datetime,,,,true,Date when the drug that lead to the recording was prescribed; Mandatory: Yes if 'date_dispensing' is missing,,"[DATE_MEDICAMENT_PRESCRI] 20121204,[dat] -20130202",,, -OOM_CDM,MEDICINES,indication_code,,,,2.2,,character,,,,,Indication for which the drug was prescribed,,,,, -OOM_CDM,MEDICINES,indication_code_vocabulary,,,,2.2,,character,,,,false,Coding system referring to indication code,,,,, -OOM_CDM,MEDICINES,inidication_code,,,,2.2,,character,,,,false,Single identifier of a condition/indication for which the medicinal product was prescribed/dispensed.,,,,, -OOM_CDM,MEDICINES,meaning_of_drug_record,,,,2.2,,character,,,,true,nature of the original record having originated the drug record,,"dispensing_in_community_pharmacy,drug_prescription",,, -OOM_CDM,MEDICINES,medicinal_product_atc_code,,,,2.2,,character,,,,true,The code caracterizing the drug in the Anatomical Therapeutic Chemical classification,,"[ATC] +20130202",,,,False,,,,, +OOM,MEDICINES,indication_code,,,,2.2,,character,,,,,Indication for which the drug was prescribed,,,,,,False,,,,, +OOM,MEDICINES,indication_code_vocabulary,,,,2.2,,character,,,,false,Coding system referring to indication code,,,,,,False,,,,, +OOM,MEDICINES,inidication_code,,,,2.2,,character,,,,false,Single identifier of a condition/indication for which the medicinal product was prescribed/dispensed.,,,,,,False,,,,, +OOM,MEDICINES,meaning_of_drug_record,,,,2.2,,character,,,,true,nature of the original record having originated the drug record,,"dispensing_in_community_pharmacy,drug_prescription",,,,False,,,,, +OOM,MEDICINES,medicinal_product_atc_code,,,,2.2,,character,,,,true,The code caracterizing the drug in the Anatomical Therapeutic Chemical classification,,"[ATC] C09DA03,[agr] -N03AX14",,, -OOM_CDM,MEDICINES,medicinal_product_id,,,,2.2,,character,,,,false,Foreign key to the PRODUCTS table. The medicinal_product_id should be a unique identifier of a specific medicinal product.,,,,, -OOM_CDM,MEDICINES,origin_of_drug_record,,,,2.2,,character,,,,true,name of the source table that originated the record,,,,, -OOM_CDM,MEDICINES,person_id,,,,2.2,,string,,,,true,"A foreign key to the person in ""person"" table who received the drug",,"[PATIENT_ID] +N03AX14",,,,False,,,,, +OOM,MEDICINES,medicinal_product_id,,,,2.2,,character,,,,false,Foreign key to the PRODUCTS table. The medicinal_product_id should be a unique identifier of a specific medicinal product.,,,,,,False,,,,, +OOM,MEDICINES,origin_of_drug_record,,,,2.2,,character,,,,true,name of the source table that originated the record,,,,,,False,,,,, +OOM,MEDICINES,person_id,,,,2.2,,string,,,,true,"A foreign key to the person in ""person"" table who received the drug",,"[PATIENT_ID] 35554,[idp] -2547",,, -OOM_CDM,MEDICINES,presc_duration_days,,,,2.2,,integer,,,,true,The duration of the treatment as defined in the original prescription in days; Mandatory: Yes if 'disp_amount_drug' is missing,,"[dbaixa]-[dat] -30",,, -OOM_CDM,MEDICINES,presc_quantity_per_day,,,,2.2,,character,,,,,The posology for the drug as recorded in the original prescription,,,,, -OOM_CDM,MEDICINES,prescriber_speciality,,,,2.2,,character,,,,false,Profile of the healthcare professional who has prescribed the medicinal product.,,"dermatologist,GP",,, -OOM_CDM,MEDICINES,prescriber_speciality_vocabulary,,,,2.2,,character,,,,false,Coding system of the specialty,,SPA.SPECIALI,,, -OOM_CDM,MEDICINES,product_code,,,,2.2,,character,,,,false,"A foreign key to the drug details in ""product_code"" table",,"[CIP13] -3400921620726",,, -OOM_CDM,MEDICINES,product_lot_number,,,,2.2,,character,,,,false,An identifier assigned to a particular quantity or lot of Drug product from the manufacturer.,,,,, -OOM_CDM,MEDICINES,visit_occurrence_id,,,,2.2,,character,,,,false,"Identifier of the prescription. A foreign key linking this record to the VISIT_OCCURRENCE table, indicating the visit where the drug was prescribed or dispensed.",,"1234AB1234,1234AB1234",,, -OOM_CDM,METADATA,columnname,,,,2.2,,character,,,,true,Name of the column whose metadata is recorded,,event_code_vocabularies,,, -OOM_CDM,METADATA,other,,,,2.2,,character,,,,true,Other characteristic of the metadata,,,,, -OOM_CDM,METADATA,tablename,,,,2.2,,character,,,,true,Name of the table whose metadata is recorded,,"EUROCAT,VACCINES",,, -OOM_CDM,METADATA,type_of_metadata,,,,2.2,,character,,,,true,"There are different types of metadata that are recorded, they may be associated with a table or a tble/column, or other",,"presence_of_table,presence_of_column",,, -OOM_CDM,METADATA,value,,,,2.2,,character,,,,true,Value of the metadata,,"Yes,ICD9 ICD10",,, -OOM_CDM,OBSERVATION_PERIODS,op_end_date,,,,2.2,,datetime,,,,true,,,,,, -OOM_CDM,OBSERVATION_PERIODS,op_meaning,,,,2.2,,character,,,,true,represents the semantic of the record,,,,, -OOM_CDM,OBSERVATION_PERIODS,op_origin,,,,2.2,,character,,,,true,name of the source table that originated the record,,,,, -OOM_CDM,OBSERVATION_PERIODS,op_start_date,,,,2.2,,datetime,,,,true,,,,,, -OOM_CDM,OBSERVATION_PERIODS,person_id,,,,2.2,,character,,,,true,A foreign key to the person in PERSONS table,,,,, -OOM_CDM,PERSONS,country_of_birth,,,,2.2,,character,,,,false,,,,,, -OOM_CDM,PERSONS,day_of_birth,,,,2.2,,integer,,,,false,,,,,, -OOM_CDM,PERSONS,day_of_death,,,,2.2,,integer,,,,false,,,,,, -OOM_CDM,PERSONS,month_of_birth,,,,2.2,,integer,,,,false,,,,,, -OOM_CDM,PERSONS,month_of_death,,,,2.2,,integer,,,,false,,,,,, -OOM_CDM,PERSONS,person_id,,,,2.2,,character,,,,true,,,,,, -OOM_CDM,PERSONS,quality,,,,2.2,,character,,,,false,A judgement on the quality of the variables recorded in this table,,,,, -OOM_CDM,PERSONS,race,,,,2.2,,character,,,,false,,,,,, -OOM_CDM,PERSONS,sex_at_instance_creation,,,,2.2,,character,,,,true,Sex of the person in the moment when in the instance of the CDM is created,,"M,U",,, -OOM_CDM,PERSONS,year_of_birth,,,,2.2,,integer,,,,true,,,,,, -OOM_CDM,PERSONS,year_of_death,,,,2.2,,integer,,,,true,,,,,, -OOM_CDM,PERSON_RELATIONSHIPS,meaning_of_relationship,,,,2.2,,character,,,,true,Which type of relationship related_it has with person_id,,"gestational_mother,adoptive_father",,, -OOM_CDM,PERSON_RELATIONSHIPS,method_of_linkage,,,,2.2,,character,,,,true,How the linkage was performed,,"deterministic,probabilistic",,, -OOM_CDM,PERSON_RELATIONSHIPS,origin_of_relationship,,,,2.2,,character,,,,true,name of the source table that originated the record,,CAP,,, -OOM_CDM,PERSON_RELATIONSHIPS,person_id,,,,2.2,,character,,,,true,A foreign key to the person in PERSONS table,,,,, -OOM_CDM,PERSON_RELATIONSHIPS,related_id,,,,2.2,,character,,,,true,,,,,, -OOM_CDM,PROCEDURES,meaning_of_procedure,,,,2.2,,character,,,,true,,,procedure_during_hospitalisation,,, -OOM_CDM,PROCEDURES,origin_of_procedure,,,,2.2,,character,,,,true,name of the source table that originated the record,,SDO,,, -OOM_CDM,PROCEDURES,person_id,,,,2.2,,character,,,,true,A foreign key to the person in PERSONS table,,,,, -OOM_CDM,PROCEDURES,procedure_code,,,,2.2,,character,,,,true,,,"90.44.3,3607",,, -OOM_CDM,PROCEDURES,procedure_code_vocabulary,,,,2.2,,character,,,,true,,,"ITA_procedures_coding_system,ICD9PROC",,, -OOM_CDM,PROCEDURES,procedure_date,,,,2.2,,datetime,,,,true,,,,,, -OOM_CDM,PROCEDURES,visit_occurrence_id,,,,2.2,,character,,,,false,A foreign key linking this record to the VISIT_OCCURRENCE table,,,,, -OOM_CDM,PRODUCTS,administration_dose_form,,,,2.2,,character,,,,false,Pharmaceutical dose form for administration to the patient.,,SOLUTION,,, -OOM_CDM,PRODUCTS,administration_route,,,,2.2,,character,,,,false,Route of administration of the pharmaceutical product.,,ORAL,,, -OOM_CDM,PRODUCTS,concentration_total_content,,,,2.2,,integer,,,,false,Total content of a single unit such as particular type of pharmaceutical unit of presentation or dose form.,,,,, -OOM_CDM,PRODUCTS,concentration_total_content_unit,,,,2.2,,character,,,,false,Unit of measure of the concentration total content.,,,,, -OOM_CDM,PRODUCTS,medicinal_product_atc_code,,,,2.2,,character,,,,true,Unique standardized identification code from the ATC classification system from WHO associated to the medicinal product.,,M01AE01,,, -OOM_CDM,PRODUCTS,medicinal_product_id,,,,2.2,,character,,,,false,Primary key. The medicinal_product_id should be a unique identifier of a specific medicinal product.,,,,, -OOM_CDM,PRODUCTS,medicinal_product_manufacturer,,,,2.2,,character,,,,false,Name of the manufactured of the pharmaceutical product.,,,,, -OOM_CDM,PRODUCTS,medicinal_product_name,,,,2.2,,character,,,,true,"Any substance or combination of substances, which may be administered for treating or preventing disease, with the view to making a medical diagnosis or to restore, correct or modify physiological functions.",,DALSY 20mg/ml ORAL SOLUTION 1 FLASC of 150ml,,, -OOM_CDM,PRODUCTS,subst1_amount_per_form,,,,2.2,,integer,,,,false,Quantity of the first active principle contained in the medicinal product,,3000 (150X20/1),,, -OOM_CDM,PRODUCTS,subst1_amount_unit,,,,2.2,,character,,,,false,Unit of measure of the quantity of the first active principle contained in the medicinal product,,,,, -OOM_CDM,PRODUCTS,subst1_atc_code,,,,2.2,,character,,,,false,Unique standardized identification code from the ATC classification system from WHO associated to the active priciple.,,,,, -OOM_CDM,PRODUCTS,subst1_concentration,,,,2.2,,integer,,,,false,Strength or quantity contained into a single unit of presentation or dose form.,,,,, -OOM_CDM,PRODUCTS,subst1_concentration_unit,,,,2.2,,character,,,,false,Unit of measure of the strength or quantity by which a particular type of unit of presentation or dose form is described.,,,,, -OOM_CDM,PRODUCTS,subst2_amount_per_form,,,,2.2,,integer,,,,false,Quantity of the second active principle contained in the medicinal product,,,,, -OOM_CDM,PRODUCTS,subst2_amount_unit,,,,2.2,,character,,,,false,Unit of measure of the quantity of the second active principle contained in the medicinal product,,,,, -OOM_CDM,PRODUCTS,subst2_atc_code,,,,2.2,,character,,,,false,Unique standardized identification code from the ATC classification system from WHO associated to the active priciple.,,,,, -OOM_CDM,PRODUCTS,subst2_concentration,,,,2.2,,integer,,,,false,Strength or quantity contained into a single unit of presentation or dose form.,,,,, -OOM_CDM,PRODUCTS,subst2_concentration_unit,,,,2.2,,character,,,,false,Unit of measure of the strength or quantity by which a particular type of unit of presentation or dose form is described.,,,,, -OOM_CDM,PRODUCTS,subst3_amount_per_form,,,,2.2,,integer,,,,false,Quantity of the third active principle contained in the medicinal product,,,,, -OOM_CDM,PRODUCTS,subst3_amount_unit,,,,2.2,,character,,,,false,Unit of measure of the quantity of the third active principle contained in the medicinal product,,,,, -OOM_CDM,PRODUCTS,subst3_atc_code,,,,2.2,,character,,,,false,Unique standardized identification code from the ATC classification system from WHO associated to the active priciple.,,,,, -OOM_CDM,PRODUCTS,subst3_concentration,,,,2.2,,integer,,,,false,Strength or quantity contained into a single unit of presentation or dose form.,,,,, -OOM_CDM,VISIT_OCCURRENCE,person_id,,,,2.2,,character,,,,true,,,,,, -OOM_CDM,PRODUCTS,subst3_concentration_unit,,,,2.2,,character,,,,false,Unit of measure of the strength or quantity by which a particular type of unit of presentation or dose form is described.,,,,, -OOM_CDM,PRODUCTS,unit_of_presentation_num,,,,2.2,,integer,,,,false,Number of unit of presentation type within a medicinal product.,,1,,, -OOM_CDM,PRODUCTS,unit_of_presentation_type,,,,2.2,,character,,,,false,"Qualitative term describing the discrete countable entity in which a pharmaceutical product or manufactured item is presented, in cases where strength or quantity is expressed referring to one instance of this countable entity.",,,,, -OOM_CDM,SURVEY_ID,person_id,,,,2.2,,character,,,,true,Person whose information is collected in this survey,,,,, -OOM_CDM,SURVEY_ID,survey_date,,,,2.2,,datetime,,,,true,Date when the survey is recorded,,,,, -OOM_CDM,SURVEY_ID,survey_id,,,,2.2,,character,,,,true,Identifier of the survey,,,,, -OOM_CDM,SURVEY_ID,survey_meaning,,,,2.2,,character,,,,true,The meaning of this survey for this person,,"birth_registry_mother,birth_registry_child",,, -OOM_CDM,SURVEY_ID,survey_origin,,,,2.2,,,,,,true,name of the source table that originated the record,,CAP,,, -OOM_CDM,SURVEY_OBSERVATIONS,person_id,,,,2.2,,character,,,,true,,,,,, -OOM_CDM,SURVEY_OBSERVATIONS,so_date,,,,2.2,,datetime,,,,true,,,,,, -OOM_CDM,SURVEY_OBSERVATIONS,so_meaning,,,,2.2,,character,,,,true,,,,,, -OOM_CDM,SURVEY_OBSERVATIONS,so_origin,,,,2.2,,character,,,,true,name of the source table that originated the record,,,,, -OOM_CDM,SURVEY_OBSERVATIONS,so_source_column,,,,2.2,,character,,,,true,,,,,, -OOM_CDM,SURVEY_OBSERVATIONS,so_source_table,,,,2.2,,character,,,,true,,,,,, -OOM_CDM,SURVEY_OBSERVATIONS,so_source_value,,,,2.2,,character,,,,true,,,,,, -OOM_CDM,SURVEY_OBSERVATIONS,so_unit,,,,2.2,,character,,,,false,,,"kg,ICD9",,, -OOM_CDM,SURVEY_OBSERVATIONS,survey_id,,,,2.2,,character,,,,true,,,,,, -OOM_CDM,VACCINES,meaning_of_vx_record,,,,2.2,,character,,,,true,,,"primary_care_medical_record,community_pharmacy_reimbursement",,, -OOM_CDM,VACCINES,medicinal_product_id,,,,2.2,,character,,,,false,Foreign key to the PRODUCTS table.,,90710,,, -OOM_CDM,VACCINES,origin_of_vx_record,,,,2.2,,character,,,,true,name of the source table that originated the record,,VCN,,, -OOM_CDM,VACCINES,visit_occurrence_id,,,,2.2,,character,,,,false,external key to VISIT_OCCURRENCE,,,,, -OOM_CDM,VACCINES,vx_admin_date,,,,2.2,,datetime,,,,,,,20030819,,, -OOM_CDM,VACCINES,vx_atc,,,,2.2,,character,,,,,,,J07BD52,,, -OOM_CDM,VACCINES,vx_dose,,,,2.2,,character,,,,false,"Dose, particularly for childhood vaccines (1, 2, 3, Booster, etc)",,1,,, -OOM_CDM,VACCINES,vx_lot_num,,,,2.2,,character,,,,false,,,,,, -OOM_CDM,VACCINES,vx_manufacturer,,,,2.2,,character,,,,false,Name of vaccine manufacturer,,sanofi,,, -OOM_CDM,VACCINES,vx_record_date,,,,2.2,,datetime,,,,,,,20151117,,, -OOM_CDM,VACCINES,vx_text,,,,2.2,,character,,,,false,,,"First dose of measles,mumps,rubella vaccine administered at 1 year well child visit",,, -OOM_CDM,VACCINES,vx_type,,,,2.2,,character,,,,,,,"mmr,var",,, -OOM_CDM,VISIT_OCCURRENCE,meaning_of_visit,,,,2.2,,,,,,true,,,"hospitalisation,oupatient_specialist_visit",,, -OOM_CDM,VISIT_OCCURRENCE,origin_of_visit,,,,2.2,,,,,,true,,,"administrative_record,primary_care_medical_record",,, -OOM_CDM,VISIT_OCCURRENCE,specialty_of_visit,,,,2.2,,character,,,,false,"Specialty of the visit, or if this is a hospital admission, specialty of the discharge ward",,"011,GYN",,, -OOM_CDM,VISIT_OCCURRENCE,specialty_of_visit_vocabulary,,,,2.2,,,,,,false,Coding system of the specialty,,"SPA.SPECIALI,SDO.REPAMM",,, -OOM_CDM,VISIT_OCCURRENCE,status_at_discharge,,,,2.2,,,,,,false,outcome of the visit,,"1,5",,, -OOM_CDM,VISIT_OCCURRENCE,status_at_discharge_vocabulary,,,,2.2,,,,,,false,vocabulary of outcome of the visit,,SDO.MODIM,,, -OOM_CDM,VISIT_OCCURRENCE,visit_end_date,,,,2.2,,datetime,,,,false,"Date when the visit ends (only for visits that may last more than one day, such as a hospital admission)",,,,, -OOM_CDM,VISIT_OCCURRENCE,visit_occurrence_id,,,,2.2,,character,,,,true,Visit identifier,,,,, -OOM_CDM,VISIT_OCCURRENCE,visit_start_date,,,,2.2,,datetime,,,,true,"Date when the visit starts, or, if it is just a one-day visit, date of the visit",,"20190715,19991123",,, -G21,child,idade_48m,child's age at follow-up 4y,,,1.0.0,,continuous,,,,,child's age at follow-up 4y,,,,, -G21,child,idade_84m,child's age at follow-up 7y,,,1.0.0,,continuous,,,,,child's age at follow-up 7y,,,,, -G21,child,idade_120m,child's age at follow-up 10y,,,1.0.0,,continuous,,,,,child's age at follow-up 10y,,,,, -G21,child,idade_156m,child's age at follow-up 13y,,,1.0.0,,continuous,,,,,child's age at follow-up 13y,,,,, -G21,blood_pressure,TAS1_48m,Sistolic blood pressure - 1st measurement (follow-up 48m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - 1st measurement (follow-up 48m),,,,, -G21,blood_pressure,TAD2_84m,Diastolic blood pressure - average of 3 measurements (follow-up 84m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - average of 3 measurements (follow-up 84m),,,,, -G21,child,idade48m,"age of the child, in months, at the follow-up evaluation (48m)",,,1.0.0,,date,,,,,child's age in months follow up 84m,,,,, -G21,blood_pressure,TASF_48m,Sistolic blood pressure - average of 3 measurements (follow-up 48m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - average of 3 measurements (follow-up 48m),,,,, -G21,blood_pressure,TAD1_48m,Diastolic blood pressure - 1st measurement (follow-up 48m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - 1st measurement (follow-up 48m),,,,, -G21,blood_pressure,TADF_48m,Diastolic blood pressure - average of 3 measurements (follow-up 48m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - average of 3 measurements (follow-up 48m),,,,, -G21,blood_pressure,TAS1_84m,Sistolic blood pressure - 1st measurement (follow-up 84m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - 1st measurement (follow-up 84m),,,,, -G21,blood_pressure,TASF_84m,Sistolic blood pressure - average of 3 measurements (follow-up 84m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - average of 3 measurements (follow-up 84m),,,,, -G21,blood_pressure,TAD1_84m,Diastolic blood pressure - 1st measurement (follow-up 84m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - 1st measurement (follow-up 84m),,,,, -G21,blood_pressure,TADF_84m,Diastolic blood pressure - average of 3 measurements (follow-up 84m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - average of 3 measurements (follow-up 84m),,,,, -G21,blood_pressure,TAS1_120m,Sistolic blood pressure - 1st measurement (follow-up 120m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - 1st measurement (follow-up 120m),,,,, -G21,blood_pressure,TASF_120m,Sistolic blood pressure - average of 3 measurements (follow-up 84m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - average of 3 measurements (follow-up 84m),,,,, -G21,blood_pressure,TAD1_120m,Diastolic blood pressure - 1st measurement (follow-up 120m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - 1st measurement (follow-up 120m),,,,, -G21,blood_pressure,TADF_120m,Diastolic blood pressure - average of 3 measurements (follow-up 120m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - average of 3 measurements (follow-up 120m),,,,, -G21,blood_pressure,TAS1_156m,Sistolic blood pressure - 1st measurement (follow-up 156m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - 1st measurement (follow-up 156m),,,,, -G21,blood_pressure,TASF_156m,Sistolic blood pressure - average of 3 measurements (follow-up 156m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - average of 3 measurements (follow-up 156m),,,,, -G21,blood_pressure,TAD1_156m,Diastolic blood pressure - 1st measurement (follow-up 156m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - 1st measurement (follow-up 156m),,,,, -G21,blood_pressure,TADF_156m,Diastolic blood pressure - average of 3 measurements (follow-up 156m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - average of 3 measurements (follow-up 156m),,,,, -G21,child,idade48m_days,"age of the child, in days, at the follow-up evaluation (48m)",,,1.0.0,,date,,,,,child's age in days follow up 48m,,,,, -G21,child,idade84m_days,"age of the child, in days, at the follow-up evaluation (84m)",,,1.0.0,,date,,,,,child's age in days follow up 84m,,,,, -G21,child,idade120m_days,"age of the child, in days, at the follow-up evaluation (120m)",,,1.0.0,,date,,,,,child's age in days follow up 120m,,,,, -G21,child,idade156m_days,"age of the child, in days, at the follow-up evaluation (120m)",,,1.0.0,,date,,,,,child's age in days follow up 156m,,,,, -G21,child,idade48,child's age at follow-up 4y,,,1.0.0,,continuous,,,,,child's age at follow-up 4y,,,,, -G21,child,idade84,"age of the child, in months, at the 7y follow-up",,,1.0.0,,integer,,,,,"age of the child, in months, at the 7y follow-up",,,,, -G21,child,idade120,"age of the child, in months, at the 10y follow-up",,,1.0.0,,integer,,,,,"age of the child, in months, at the 10y follow-up",,,,, -G21,child,idade156,"age of the child, in months, at the 13y follow-up",,,1.0.0,,integer,,,,,"age of the child, in months, at the 13y follow-up",,,,, -G21,child,idademedicao,"age of the child , in months, at the follow-up evaluation (48m)",,,1.0.0,,integer,,,,,child's age in months follow up 48m,,,,, -G21,child,idadedias48,"age of the child, in days, at the 4y follow-up",,,1,,integer,,,,,"age of the child, in days, at the 4y follow-up",,,,, -G21,child,idadedias84,"age of the child, in days, at the 7y follow-up",,,1,,integer,,,,,"age of the child, in days, at the 7y follow-up",,,,, -G21,child,idadedias120,"age of the child, in days, at the 10y follow-up",,,1,,integer,,,,,"age of the child, in days, at the 10y follow-up",,,,, -G21,child,idadedias156,"age of the child, in days, at the 13y follow-up",,,1,,integer,,,,,"age of the child, in days, at the 13y follow-up",,,,, -G21,child,Idademedicao,"age of the child, in months, at the 4y follow-up",,,1,,integer,,,,,"age of the child, in months, at the 4y follow-up",,,,, -G21,child,idade_meses,"age of the child, in months, at the baseline",,,1,,integer,,,,,"age of the child, in months, at the baseline",,,,, -G21,child,idade84m,"age of the child, in months, at the 7y follow-up",,,1,,integer,,,,,"age of the child, in months, at the 7y follow-up",,,,, -G21,child,idade120m,"age of the child, in months, at the 10y follow-up",,,1,,integer,,,,,"age of the child, in months, at the 10y follow-up",,,,, -GenR,core,WEIGHT_1,weight intake,,,1.0.0,,continuous,kg,,,,weight mother measured at enrollment,,,,, -G21,child,idade156m,"age of the child, in months, at the 13y follow-up",,,1,,integer,,,,,"age of the child, in months, at the 13y follow-up",,,,, -ENVIRONAGE,bloodpressure after birth,AgeB_BP,,ENVIRONAGE,birth,,,continuous,day,,,,Newborn age (days) at measurement blood pressure after birth,,,,, -ENVIRONAGE,bloodpressure after birth,SBP1B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,First Systolic Blood Pressure of newborn,,,,, -ENVIRONAGE,bloodpressure after birth,SBP3B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,3rd Systolic Blood Pressure of newborn,,,,, -ENVIRONAGE,bloodpressure after birth,SBP4B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,4th Systolic Blood Pressure of newborn,,,,, -ENVIRONAGE,bloodpressure after birth,SBP5B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,5th Systolic Blood Pressure of newborn,,,,, -ENVIRONAGE,bloodpressure after birth,DBP1B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,First Diastolic Blood Pressure of newborn,,,,, -ENVIRONAGE,bloodpressure after birth,DBP3B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,3rd Diastolic Blood Pressure of newborn,,,,, -ENVIRONAGE,bloodpressure after birth,DBP4B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,4th Diastolic Blood Pressure of newborn,,,,, -ENVIRONAGE,bloodpressure after birth,DBP5B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,5th Diastolic Blood Pressure of newborn,,,,, -ENVIRONAGE,measurements at FU1,Circumf,,ENVIRONAGE,4-years follow-up,,,continuous,cm,,,,belly circumference of child,,,,, -ENVIRONAGE,measurements at FU1,Height,,ENVIRONAGE,4-years follow-up,,,continuous,cm,,,,Height of child in centimeters measured by trained staff,,,,, -ENVIRONAGE,measurements at FU1,Weight,,ENVIRONAGE,4-years follow-up,,,continuous,kg,,,,Weight of child in kilograms measured by trained staff,,,,, -ENVIRONAGE,measurements at FU1,Fat,,ENVIRONAGE,4-years follow-up,,,continuous,%,,,,Fat percentage calculated by weight scale of child,,,,, -ENVIRONAGE,measurements at FU1,DBP1FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,First Diastolic Blood Pressure of child at the FU1,,,,, -ENVIRONAGE,measurements at FU1,DBP3FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,3rd Diastolic Blood Pressure of child at the FU1,,,,, -ENVIRONAGE,measurements at FU1,DBP4FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,4th Diastolic Blood Pressure of child at the FU1,,,,, -ENVIRONAGE,measurements at FU1,DBP5FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,5th Diastolic Blood Pressure of child at the FU1,,,,, -ENVIRONAGE,measurements at FU1,SBP1FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,First Systolic Blood Pressure of child at the FU1,,,,, -ENVIRONAGE,measurements at FU1,SBP3FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,3rd Systolic Blood Pressure of child at the FU1,,,,, -ENVIRONAGE,measurements at FU1,SBP4FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,4th Systolic Blood Pressure of child at the FU1,,,,, -ENVIRONAGE,measurements at FU1,SBP5FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,5th Systolic Blood Pressure of child at the FU1,,,,, -ENVIRONAGE,bloodpressure after birth,P3B,,ENVIRONAGE,birth,,,integer,bpm,,,,3rd measurement babies puls rate at the FU1,,,,, -ENVIRONAGE,bloodpressure after birth,P4B,,ENVIRONAGE,birth,,,integer,bpm,,,,4th measurement babies puls rate at the FU1,,,,, -ENVIRONAGE,bloodpressure after birth,P5B,,ENVIRONAGE,birth,,,integer,bpm,,,,5th measurement babies puls rate at the FU1,,,,, -ENVIRONAGE,measurements at FU1,HR3FU1,,ENVIRONAGE,4-years follow-up,,,integer,bpm,,,,3rd measurement childs heart rate at the FU1,,,,, -ENVIRONAGE,measurements at FU1,HR4FU1,,ENVIRONAGE,4-years follow-up,,,integer,bpm,,,,4th measurement childs heart rate at the FU1,,,,, -ENVIRONAGE,measurements at FU1,HR5FU1,,ENVIRONAGE,4-years follow-up,,,integer,bpm,,,,5th measurement childs heart rate at the FU1,,,,, -ENVIRONAGE,measurements at FU1,Age_FU,,ENVIRONAGE,4-years follow-up,,,integer,month,,,,Age of child at follow-up visit 1,,,,, -GenR,core,G2DBP,dbp mother gestage 2,,,1.0.0,,continuous,mmHg,,,,dbp mother gestage 2,,,,, -GenR,core,AGEIUVD,Gestational age IUVD/TOP,,,1.0.0,,continuous,week,,,,"For pregnancies that resulted in intrauterine fetal death, this variable indicates the week of gestation when happened",,,,, -GenR,core,age_CB29t35m,Age child 29-35 months,,,1.0.0,,continuous,month,,,,Age child 29-35 months,,,,, -GenR,core,age_CB17t23m,Age child 17-23 months,,,1.0.0,,continuous,month,,,,Age child 17-23 months,,,,, -GenR,core,p08_02,vis vet > 2,,,1.0.0,,continuous,gram_per_day,,,,Intake of fatty fish,,,,, -GenR,core,Psum_int_5,Fractional Rank Percent of sum_int_5,,,1.0.0,,continuous,,,,,Percentile scores of subscale internalizing problems,,,,, -GenR,core,CRP9_clean,CRP serum Child 9 years cleaned,,,1.0.0,,continuous,mg/litre,,,,CRP from serum measured at research clinics,,,,, -GenR,core,CRPCHILD5,C-Reactive Protein Child (serum) F5 mg/l,,,1.0.0,,continuous,mg/litre,,,,CRP from serum measured at research clinics,,,,, -GenR,core,CRP_birth,C-reactive protein (CRP) Child Cordblood,,,1.0.0,,continuous,mg/litre,,,,CRP from cord blood,,,,, -GenR,core,CRP_g1,C-reactive protein (CRP) Plasma Mother <18 weeks: mg/l,,,1.0.0,,continuous,mg/litre,,,,CRP mother,,,,, -GenR,core,Carbohydrates_total_Epct,"Total carbohydrate intake, in energy percent [FFQ 8y]",,,1.0.0,,continuous,percent,,,,"Total carbohydrate intake, in energy percent",,,,, -GenR,core,Carbohydrates_total_g,"Total carbohydrate intake, g/d [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Total carbohydrate intake, g/d",,,,, -GenR,core,CholesterolChild9_clean,Cholesteorol serum Child 9 years cleaned,,,1.0.0,,continuous,mmol/litre,,,,Cholesterol from serum measured at research clinics,,,,, -GenR,core,D0900124,GR1024 D9-1 Do you (mother) smoke at the moment? (D0900124),,,1.0.0,,categorical,,,,,Indicates whether the mother smokes,,,,, -GenR,core,D1000124,GR1024 D10-1 Did you or anybody else smoke at home in the presence of your child last week (D1000124),,,1.0.0,,categorical,,,,,Indicates whether the mother of anyone else smokes at home in the presence of the child in the last week,,,,, -GenR,core,D1400124,GR1024 D14-1 Do you keep a dog at home? (D1400124),,,1.0.0,,categorical,,,,,Indicates whether they own a dog,,,,, -GenR,core,D1500124,GR1024 D15-1 Do you keep a pet rodent? (D1500124),,,1.0.0,,categorical,,,,,Indicates whether they own a rodent,,,,, -GenR,core,DBP1_child9,F@9 BLOODPRESSURE - child: 1st Diastole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,DBP2_child9,F@9 BLOODPRESSURE - child: 2nd Diastole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,DBP3_child9,F@9 BLOODPRESSURE - child: 3nd Diastole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,DBP4_child9,F@9 BLOODPRESSURE - child: 4nd Diastole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,DEP_M6,Depression mother 6months 1024,,,1.0.0,,continuous,,,,,"At 6 months, an abbreviated version of the BSI was assesed in mothers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, +2547",,,,False,,,,, +OOM,MEDICINES,presc_duration_days,,,,2.2,,integer,,,,true,The duration of the treatment as defined in the original prescription in days; Mandatory: Yes if 'disp_amount_drug' is missing,,"[dbaixa]-[dat] +30",,,,False,,,,, +OOM,MEDICINES,presc_quantity_per_day,,,,2.2,,character,,,,,The posology for the drug as recorded in the original prescription,,,,,,False,,,,, +OOM,MEDICINES,prescriber_speciality,,,,2.2,,character,,,,false,Profile of the healthcare professional who has prescribed the medicinal product.,,"dermatologist,GP",,,,False,,,,, +OOM,MEDICINES,prescriber_speciality_vocabulary,,,,2.2,,character,,,,false,Coding system of the specialty,,SPA.SPECIALI,,,,False,,,,, +OOM,MEDICINES,product_code,,,,2.2,,character,,,,false,"A foreign key to the drug details in ""product_code"" table",,"[CIP13] +3400921620726",,,,False,,,,, +OOM,MEDICINES,product_lot_number,,,,2.2,,character,,,,false,An identifier assigned to a particular quantity or lot of Drug product from the manufacturer.,,,,,,False,,,,, +OOM,MEDICINES,visit_occurrence_id,,,,2.2,,character,,,,false,"Identifier of the prescription. A foreign key linking this record to the VISIT_OCCURRENCE table, indicating the visit where the drug was prescribed or dispensed.",,"1234AB1234,1234AB1234",,,,False,,,,, +OOM,METADATA,columnname,,,,2.2,,character,,,,true,Name of the column whose metadata is recorded,,event_code_vocabularies,,,,False,,,,, +OOM,METADATA,other,,,,2.2,,character,,,,true,Other characteristic of the metadata,,,,,,False,,,,, +OOM,METADATA,tablename,,,,2.2,,character,,,,true,Name of the table whose metadata is recorded,,"EUROCAT,VACCINES",,,,False,,,,, +OOM,METADATA,type_of_metadata,,,,2.2,,character,,,,true,"There are different types of metadata that are recorded, they may be associated with a table or a tble/column, or other",,"presence_of_table,presence_of_column",,,,False,,,,, +OOM,METADATA,value,,,,2.2,,character,,,,true,Value of the metadata,,"Yes,ICD9 ICD10",,,,False,,,,, +OOM,OBSERVATION_PERIODS,op_end_date,,,,2.2,,datetime,,,,true,,,,,,,False,,,,, +OOM,OBSERVATION_PERIODS,op_meaning,,,,2.2,,character,,,,true,represents the semantic of the record,,,,,,False,,,,, +OOM,OBSERVATION_PERIODS,op_origin,,,,2.2,,character,,,,true,name of the source table that originated the record,,,,,,False,,,,, +OOM,OBSERVATION_PERIODS,op_start_date,,,,2.2,,datetime,,,,true,,,,,,,False,,,,, +OOM,OBSERVATION_PERIODS,person_id,,,,2.2,,character,,,,true,A foreign key to the person in PERSONS table,,,,,,False,,,,, +OOM,PERSONS,country_of_birth,,,,2.2,,character,,,,false,,,,,,,False,,,,, +OOM,PERSONS,day_of_birth,,,,2.2,,integer,,,,false,,,,,,,False,,,,, +OOM,PERSONS,day_of_death,,,,2.2,,integer,,,,false,,,,,,,False,,,,, +OOM,PERSONS,month_of_birth,,,,2.2,,integer,,,,false,,,,,,,False,,,,, +OOM,PERSONS,month_of_death,,,,2.2,,integer,,,,false,,,,,,,False,,,,, +OOM,PERSONS,person_id,,,,2.2,,character,,,,true,,,,,,,False,,,,, +OOM,PERSONS,quality,,,,2.2,,character,,,,false,A judgement on the quality of the variables recorded in this table,,,,,,False,,,,, +OOM,PERSONS,race,,,,2.2,,character,,,,false,,,,,,,False,,,,, +OOM,PERSONS,sex_at_instance_creation,,,,2.2,,character,,,,true,Sex of the person in the moment when in the instance of the CDM is created,,"M,U",,,,False,,,,, +OOM,PERSONS,year_of_birth,,,,2.2,,integer,,,,true,,,,,,,False,,,,, +OOM,PERSONS,year_of_death,,,,2.2,,integer,,,,true,,,,,,,False,,,,, +OOM,PERSON_RELATIONSHIPS,meaning_of_relationship,,,,2.2,,character,,,,true,Which type of relationship related_it has with person_id,,"gestational_mother,adoptive_father",,,,False,,,,, +OOM,PERSON_RELATIONSHIPS,method_of_linkage,,,,2.2,,character,,,,true,How the linkage was performed,,"deterministic,probabilistic",,,,False,,,,, +OOM,PERSON_RELATIONSHIPS,origin_of_relationship,,,,2.2,,character,,,,true,name of the source table that originated the record,,CAP,,,,False,,,,, +OOM,PERSON_RELATIONSHIPS,person_id,,,,2.2,,character,,,,true,A foreign key to the person in PERSONS table,,,,,,False,,,,, +OOM,PERSON_RELATIONSHIPS,related_id,,,,2.2,,character,,,,true,,,,,,,False,,,,, +OOM,PROCEDURES,meaning_of_procedure,,,,2.2,,character,,,,true,,,procedure_during_hospitalisation,,,,False,,,,, +OOM,PROCEDURES,origin_of_procedure,,,,2.2,,character,,,,true,name of the source table that originated the record,,SDO,,,,False,,,,, +OOM,PROCEDURES,person_id,,,,2.2,,character,,,,true,A foreign key to the person in PERSONS table,,,,,,False,,,,, +OOM,PROCEDURES,procedure_code,,,,2.2,,character,,,,true,,,"90.44.3,3607",,,,False,,,,, +OOM,PROCEDURES,procedure_code_vocabulary,,,,2.2,,character,,,,true,,,"ITA_procedures_coding_system,ICD9PROC",,,,False,,,,, +OOM,PROCEDURES,procedure_date,,,,2.2,,datetime,,,,true,,,,,,,False,,,,, +OOM,PROCEDURES,visit_occurrence_id,,,,2.2,,character,,,,false,A foreign key linking this record to the VISIT_OCCURRENCE table,,,,,,False,,,,, +OOM,PRODUCTS,administration_dose_form,,,,2.2,,character,,,,false,Pharmaceutical dose form for administration to the patient.,,SOLUTION,,,,False,,,,, +OOM,PRODUCTS,administration_route,,,,2.2,,character,,,,false,Route of administration of the pharmaceutical product.,,ORAL,,,,False,,,,, +OOM,PRODUCTS,concentration_total_content,,,,2.2,,integer,,,,false,Total content of a single unit such as particular type of pharmaceutical unit of presentation or dose form.,,,,,,False,,,,, +OOM,PRODUCTS,concentration_total_content_unit,,,,2.2,,character,,,,false,Unit of measure of the concentration total content.,,,,,,False,,,,, +OOM,PRODUCTS,medicinal_product_atc_code,,,,2.2,,character,,,,true,Unique standardized identification code from the ATC classification system from WHO associated to the medicinal product.,,M01AE01,,,,False,,,,, +OOM,PRODUCTS,medicinal_product_id,,,,2.2,,character,,,,false,Primary key. The medicinal_product_id should be a unique identifier of a specific medicinal product.,,,,,,False,,,,, +OOM,PRODUCTS,medicinal_product_manufacturer,,,,2.2,,character,,,,false,Name of the manufactured of the pharmaceutical product.,,,,,,False,,,,, +OOM,PRODUCTS,medicinal_product_name,,,,2.2,,character,,,,true,"Any substance or combination of substances, which may be administered for treating or preventing disease, with the view to making a medical diagnosis or to restore, correct or modify physiological functions.",,DALSY 20mg/ml ORAL SOLUTION 1 FLASC of 150ml,,,,False,,,,, +OOM,PRODUCTS,subst1_amount_per_form,,,,2.2,,integer,,,,false,Quantity of the first active principle contained in the medicinal product,,3000 (150X20/1),,,,False,,,,, +OOM,PRODUCTS,subst1_amount_unit,,,,2.2,,character,,,,false,Unit of measure of the quantity of the first active principle contained in the medicinal product,,,,,,False,,,,, +OOM,PRODUCTS,subst1_atc_code,,,,2.2,,character,,,,false,Unique standardized identification code from the ATC classification system from WHO associated to the active priciple.,,,,,,False,,,,, +OOM,PRODUCTS,subst1_concentration,,,,2.2,,integer,,,,false,Strength or quantity contained into a single unit of presentation or dose form.,,,,,,False,,,,, +OOM,PRODUCTS,subst1_concentration_unit,,,,2.2,,character,,,,false,Unit of measure of the strength or quantity by which a particular type of unit of presentation or dose form is described.,,,,,,False,,,,, +OOM,PRODUCTS,subst2_amount_per_form,,,,2.2,,integer,,,,false,Quantity of the second active principle contained in the medicinal product,,,,,,False,,,,, +OOM,PRODUCTS,subst2_amount_unit,,,,2.2,,character,,,,false,Unit of measure of the quantity of the second active principle contained in the medicinal product,,,,,,False,,,,, +OOM,PRODUCTS,subst2_atc_code,,,,2.2,,character,,,,false,Unique standardized identification code from the ATC classification system from WHO associated to the active priciple.,,,,,,False,,,,, +OOM,PRODUCTS,subst2_concentration,,,,2.2,,integer,,,,false,Strength or quantity contained into a single unit of presentation or dose form.,,,,,,False,,,,, +OOM,PRODUCTS,subst2_concentration_unit,,,,2.2,,character,,,,false,Unit of measure of the strength or quantity by which a particular type of unit of presentation or dose form is described.,,,,,,False,,,,, +OOM,PRODUCTS,subst3_amount_per_form,,,,2.2,,integer,,,,false,Quantity of the third active principle contained in the medicinal product,,,,,,False,,,,, +OOM,PRODUCTS,subst3_amount_unit,,,,2.2,,character,,,,false,Unit of measure of the quantity of the third active principle contained in the medicinal product,,,,,,False,,,,, +OOM,PRODUCTS,subst3_atc_code,,,,2.2,,character,,,,false,Unique standardized identification code from the ATC classification system from WHO associated to the active priciple.,,,,,,False,,,,, +OOM,PRODUCTS,subst3_concentration,,,,2.2,,integer,,,,false,Strength or quantity contained into a single unit of presentation or dose form.,,,,,,False,,,,, +OOM,VISIT_OCCURRENCE,person_id,,,,2.2,,character,,,,true,,,,,,,False,,,,, +OOM,PRODUCTS,subst3_concentration_unit,,,,2.2,,character,,,,false,Unit of measure of the strength or quantity by which a particular type of unit of presentation or dose form is described.,,,,,,False,,,,, +OOM,PRODUCTS,unit_of_presentation_num,,,,2.2,,integer,,,,false,Number of unit of presentation type within a medicinal product.,,1,,,,False,,,,, +OOM,PRODUCTS,unit_of_presentation_type,,,,2.2,,character,,,,false,"Qualitative term describing the discrete countable entity in which a pharmaceutical product or manufactured item is presented, in cases where strength or quantity is expressed referring to one instance of this countable entity.",,,,,,False,,,,, +OOM,SURVEY_ID,person_id,,,,2.2,,character,,,,true,Person whose information is collected in this survey,,,,,,False,,,,, +OOM,SURVEY_ID,survey_date,,,,2.2,,datetime,,,,true,Date when the survey is recorded,,,,,,False,,,,, +OOM,SURVEY_ID,survey_id,,,,2.2,,character,,,,true,Identifier of the survey,,,,,,False,,,,, +OOM,SURVEY_ID,survey_meaning,,,,2.2,,character,,,,true,The meaning of this survey for this person,,"birth_registry_mother,birth_registry_child",,,,False,,,,, +OOM,SURVEY_ID,survey_origin,,,,2.2,,,,,,true,name of the source table that originated the record,,CAP,,,,False,,,,, +OOM,SURVEY_OBSERVATIONS,person_id,,,,2.2,,character,,,,true,,,,,,,False,,,,, +OOM,SURVEY_OBSERVATIONS,so_date,,,,2.2,,datetime,,,,true,,,,,,,False,,,,, +OOM,SURVEY_OBSERVATIONS,so_meaning,,,,2.2,,character,,,,true,,,,,,,False,,,,, +OOM,SURVEY_OBSERVATIONS,so_origin,,,,2.2,,character,,,,true,name of the source table that originated the record,,,,,,False,,,,, +OOM,SURVEY_OBSERVATIONS,so_source_column,,,,2.2,,character,,,,true,,,,,,,False,,,,, +OOM,SURVEY_OBSERVATIONS,so_source_table,,,,2.2,,character,,,,true,,,,,,,False,,,,, +OOM,SURVEY_OBSERVATIONS,so_source_value,,,,2.2,,character,,,,true,,,,,,,False,,,,, +OOM,SURVEY_OBSERVATIONS,so_unit,,,,2.2,,character,,,,false,,,"kg,ICD9",,,,False,,,,, +OOM,SURVEY_OBSERVATIONS,survey_id,,,,2.2,,character,,,,true,,,,,,,False,,,,, +OOM,VACCINES,meaning_of_vx_record,,,,2.2,,character,,,,true,,,"primary_care_medical_record,community_pharmacy_reimbursement",,,,False,,,,, +OOM,VACCINES,medicinal_product_id,,,,2.2,,character,,,,false,Foreign key to the PRODUCTS table.,,90710,,,,False,,,,, +OOM,VACCINES,origin_of_vx_record,,,,2.2,,character,,,,true,name of the source table that originated the record,,VCN,,,,False,,,,, +OOM,VACCINES,visit_occurrence_id,,,,2.2,,character,,,,false,external key to VISIT_OCCURRENCE,,,,,,False,,,,, +OOM,VACCINES,vx_admin_date,,,,2.2,,datetime,,,,,,,20030819,,,,False,,,,, +OOM,VACCINES,vx_atc,,,,2.2,,character,,,,,,,J07BD52,,,,False,,,,, +OOM,VACCINES,vx_dose,,,,2.2,,character,,,,false,"Dose, particularly for childhood vaccines (1, 2, 3, Booster, etc)",,1,,,,False,,,,, +OOM,VACCINES,vx_lot_num,,,,2.2,,character,,,,false,,,,,,,False,,,,, +OOM,VACCINES,vx_manufacturer,,,,2.2,,character,,,,false,Name of vaccine manufacturer,,sanofi,,,,False,,,,, +OOM,VACCINES,vx_record_date,,,,2.2,,datetime,,,,,,,20151117,,,,False,,,,, +OOM,VACCINES,vx_text,,,,2.2,,character,,,,false,,,"First dose of measles,mumps,rubella vaccine administered at 1 year well child visit",,,,False,,,,, +OOM,VACCINES,vx_type,,,,2.2,,character,,,,,,,"mmr,var",,,,False,,,,, +OOM,VISIT_OCCURRENCE,meaning_of_visit,,,,2.2,,,,,,true,,,"hospitalisation,oupatient_specialist_visit",,,,False,,,,, +GenR,core,HEIGHT_1,height intake,,,1.0.0,,continuous,cm,,,,height mother for those prenatally included,,,,,,False,,,,, +OOM,VISIT_OCCURRENCE,origin_of_visit,,,,2.2,,,,,,true,,,"administrative_record,primary_care_medical_record",,,,False,,,,, +OOM,VISIT_OCCURRENCE,specialty_of_visit,,,,2.2,,character,,,,false,"Specialty of the visit, or if this is a hospital admission, specialty of the discharge ward",,"011,GYN",,,,False,,,,, +OOM,VISIT_OCCURRENCE,specialty_of_visit_vocabulary,,,,2.2,,,,,,false,Coding system of the specialty,,"SPA.SPECIALI,SDO.REPAMM",,,,False,,,,, +OOM,VISIT_OCCURRENCE,status_at_discharge,,,,2.2,,,,,,false,outcome of the visit,,"1,5",,,,False,,,,, +OOM,VISIT_OCCURRENCE,status_at_discharge_vocabulary,,,,2.2,,,,,,false,vocabulary of outcome of the visit,,SDO.MODIM,,,,False,,,,, +OOM,VISIT_OCCURRENCE,visit_end_date,,,,2.2,,datetime,,,,false,"Date when the visit ends (only for visits that may last more than one day, such as a hospital admission)",,,,,,False,,,,, +OOM,VISIT_OCCURRENCE,visit_occurrence_id,,,,2.2,,character,,,,true,Visit identifier,,,,,,False,,,,, +OOM,VISIT_OCCURRENCE,visit_start_date,,,,2.2,,datetime,,,,true,"Date when the visit starts, or, if it is just a one-day visit, date of the visit",,"20190715,19991123",,,,False,,,,, +G21,child,idade_48m,child's age at follow-up 4y,,,1.0.0,,continuous,,,,,child's age at follow-up 4y,,,,,,False,,,,, +G21,child,idade_84m,child's age at follow-up 7y,,,1.0.0,,continuous,,,,,child's age at follow-up 7y,,,,,,False,,,,, +G21,child,idade_120m,child's age at follow-up 10y,,,1.0.0,,continuous,,,,,child's age at follow-up 10y,,,,,,False,,,,, +G21,child,idade_156m,child's age at follow-up 13y,,,1.0.0,,continuous,,,,,child's age at follow-up 13y,,,,,,False,,,,, +G21,blood_pressure,TAS1_48m,Sistolic blood pressure - 1st measurement (follow-up 48m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - 1st measurement (follow-up 48m),,,,,,False,,,,, +G21,blood_pressure,TAD2_84m,Diastolic blood pressure - average of 3 measurements (follow-up 84m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - average of 3 measurements (follow-up 84m),,,,,,False,,,,, +G21,child,idade48m,"age of the child, in months, at the follow-up evaluation (48m)",,,1.0.0,,date,,,,,child's age in months follow up 84m,,,,,,False,,,,, +G21,blood_pressure,TASF_48m,Sistolic blood pressure - average of 3 measurements (follow-up 48m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - average of 3 measurements (follow-up 48m),,,,,,False,,,,, +G21,blood_pressure,TAD1_48m,Diastolic blood pressure - 1st measurement (follow-up 48m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - 1st measurement (follow-up 48m),,,,,,False,,,,, +G21,blood_pressure,TADF_48m,Diastolic blood pressure - average of 3 measurements (follow-up 48m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - average of 3 measurements (follow-up 48m),,,,,,False,,,,, +G21,blood_pressure,TAS1_84m,Sistolic blood pressure - 1st measurement (follow-up 84m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - 1st measurement (follow-up 84m),,,,,,False,,,,, +G21,blood_pressure,TASF_84m,Sistolic blood pressure - average of 3 measurements (follow-up 84m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - average of 3 measurements (follow-up 84m),,,,,,False,,,,, +G21,blood_pressure,TAD1_84m,Diastolic blood pressure - 1st measurement (follow-up 84m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - 1st measurement (follow-up 84m),,,,,,False,,,,, +G21,blood_pressure,TADF_84m,Diastolic blood pressure - average of 3 measurements (follow-up 84m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - average of 3 measurements (follow-up 84m),,,,,,False,,,,, +G21,blood_pressure,TAS1_120m,Sistolic blood pressure - 1st measurement (follow-up 120m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - 1st measurement (follow-up 120m),,,,,,False,,,,, +G21,blood_pressure,TASF_120m,Sistolic blood pressure - average of 3 measurements (follow-up 84m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - average of 3 measurements (follow-up 84m),,,,,,False,,,,, +G21,blood_pressure,TAD1_120m,Diastolic blood pressure - 1st measurement (follow-up 120m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - 1st measurement (follow-up 120m),,,,,,False,,,,, +G21,blood_pressure,TADF_120m,Diastolic blood pressure - average of 3 measurements (follow-up 120m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - average of 3 measurements (follow-up 120m),,,,,,False,,,,, +G21,blood_pressure,TAS1_156m,Sistolic blood pressure - 1st measurement (follow-up 156m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - 1st measurement (follow-up 156m),,,,,,False,,,,, +G21,blood_pressure,TASF_156m,Sistolic blood pressure - average of 3 measurements (follow-up 156m),,,1.0.0,,continuous,,,,,Sistolic blood pressure - average of 3 measurements (follow-up 156m),,,,,,False,,,,, +G21,blood_pressure,TAD1_156m,Diastolic blood pressure - 1st measurement (follow-up 156m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - 1st measurement (follow-up 156m),,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,Weight,,ENVIRONAGE,4-years follow-up,,,continuous,kg,,,,Weight of child in kilograms measured by trained staff,,,,,,False,,,,, +G21,blood_pressure,TADF_156m,Diastolic blood pressure - average of 3 measurements (follow-up 156m),,,1.0.0,,continuous,,,,,Diastolic blood pressure - average of 3 measurements (follow-up 156m),,,,,,False,,,,, +G21,child,idade48m_days,"age of the child, in days, at the follow-up evaluation (48m)",,,1.0.0,,date,,,,,child's age in days follow up 48m,,,,,,False,,,,, +G21,child,idade84m_days,"age of the child, in days, at the follow-up evaluation (84m)",,,1.0.0,,date,,,,,child's age in days follow up 84m,,,,,,False,,,,, +G21,child,idade120m_days,"age of the child, in days, at the follow-up evaluation (120m)",,,1.0.0,,date,,,,,child's age in days follow up 120m,,,,,,False,,,,, +G21,child,idade156m_days,"age of the child, in days, at the follow-up evaluation (120m)",,,1.0.0,,date,,,,,child's age in days follow up 156m,,,,,,False,,,,, +G21,child,idade48,child's age at follow-up 4y,,,1.0.0,,continuous,,,,,child's age at follow-up 4y,,,,,,False,,,,, +G21,child,idade84,"age of the child, in months, at the 7y follow-up",,,1.0.0,,integer,,,,,"age of the child, in months, at the 7y follow-up",,,,,,False,,,,, +G21,child,idade120,"age of the child, in months, at the 10y follow-up",,,1.0.0,,integer,,,,,"age of the child, in months, at the 10y follow-up",,,,,,False,,,,, +G21,child,idade156,"age of the child, in months, at the 13y follow-up",,,1.0.0,,integer,,,,,"age of the child, in months, at the 13y follow-up",,,,,,False,,,,, +G21,child,idademedicao,"age of the child , in months, at the follow-up evaluation (48m)",,,1.0.0,,integer,,,,,child's age in months follow up 48m,,,,,,False,,,,, +G21,child,idadedias48,"age of the child, in days, at the 4y follow-up",,,1,,integer,,,,,"age of the child, in days, at the 4y follow-up",,,,,,False,,,,, +G21,child,idadedias84,"age of the child, in days, at the 7y follow-up",,,1,,integer,,,,,"age of the child, in days, at the 7y follow-up",,,,,,False,,,,, +G21,child,idadedias120,"age of the child, in days, at the 10y follow-up",,,1,,integer,,,,,"age of the child, in days, at the 10y follow-up",,,,,,False,,,,, +G21,child,idadedias156,"age of the child, in days, at the 13y follow-up",,,1,,integer,,,,,"age of the child, in days, at the 13y follow-up",,,,,,False,,,,, +G21,child,Idademedicao,"age of the child, in months, at the 4y follow-up",,,1,,integer,,,,,"age of the child, in months, at the 4y follow-up",,,,,,False,,,,, +G21,child,idade_meses,"age of the child, in months, at the baseline",,,1,,integer,,,,,"age of the child, in months, at the baseline",,,,,,False,,,,, +G21,child,idade84m,"age of the child, in months, at the 7y follow-up",,,1,,integer,,,,,"age of the child, in months, at the 7y follow-up",,,,,,False,,,,, +G21,child,idade120m,"age of the child, in months, at the 10y follow-up",,,1,,integer,,,,,"age of the child, in months, at the 10y follow-up",,,,,,False,,,,, +GenR,core,WEIGHT_1,weight intake,,,1.0.0,,continuous,kg,,,,weight mother measured at enrollment,,,,,,False,,,,, +G21,child,idade156m,"age of the child, in months, at the 13y follow-up",,,1,,integer,,,,,"age of the child, in months, at the 13y follow-up",,,,,,False,,,,, +ENVIRONAGE,bloodpressure after birth,AgeB_BP,,ENVIRONAGE,birth,,,continuous,day,,,,Newborn age (days) at measurement blood pressure after birth,,,,,,False,,,,, +ENVIRONAGE,bloodpressure after birth,SBP1B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,First Systolic Blood Pressure of newborn,,,,,,False,,,,, +ENVIRONAGE,bloodpressure after birth,SBP3B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,3rd Systolic Blood Pressure of newborn,,,,,,False,,,,, +ENVIRONAGE,bloodpressure after birth,SBP4B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,4th Systolic Blood Pressure of newborn,,,,,,False,,,,, +ENVIRONAGE,bloodpressure after birth,SBP5B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,5th Systolic Blood Pressure of newborn,,,,,,False,,,,, +ENVIRONAGE,bloodpressure after birth,DBP1B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,First Diastolic Blood Pressure of newborn,,,,,,False,,,,, +ENVIRONAGE,bloodpressure after birth,DBP3B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,3rd Diastolic Blood Pressure of newborn,,,,,,False,,,,, +ENVIRONAGE,bloodpressure after birth,DBP4B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,4th Diastolic Blood Pressure of newborn,,,,,,False,,,,, +ENVIRONAGE,bloodpressure after birth,DBP5B,,ENVIRONAGE,birth,,,continuous,mmHg,,,,5th Diastolic Blood Pressure of newborn,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,Circumf,,ENVIRONAGE,4-years follow-up,,,continuous,cm,,,,belly circumference of child,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,Height,,ENVIRONAGE,4-years follow-up,,,continuous,cm,,,,Height of child in centimeters measured by trained staff,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,Fat,,ENVIRONAGE,4-years follow-up,,,continuous,%,,,,Fat percentage calculated by weight scale of child,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,DBP1FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,First Diastolic Blood Pressure of child at the FU1,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,DBP3FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,3rd Diastolic Blood Pressure of child at the FU1,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,DBP4FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,4th Diastolic Blood Pressure of child at the FU1,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,DBP5FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,5th Diastolic Blood Pressure of child at the FU1,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,SBP1FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,First Systolic Blood Pressure of child at the FU1,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,SBP3FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,3rd Systolic Blood Pressure of child at the FU1,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,SBP4FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,4th Systolic Blood Pressure of child at the FU1,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,SBP5FU1,,ENVIRONAGE,4-years follow-up,,,continuous,mmHg,,,,5th Systolic Blood Pressure of child at the FU1,,,,,,False,,,,, +ENVIRONAGE,bloodpressure after birth,P3B,,ENVIRONAGE,birth,,,integer,bpm,,,,3rd measurement babies puls rate at the FU1,,,,,,False,,,,, +ENVIRONAGE,bloodpressure after birth,P4B,,ENVIRONAGE,birth,,,integer,bpm,,,,4th measurement babies puls rate at the FU1,,,,,,False,,,,, +ENVIRONAGE,bloodpressure after birth,P5B,,ENVIRONAGE,birth,,,integer,bpm,,,,5th measurement babies puls rate at the FU1,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,HR3FU1,,ENVIRONAGE,4-years follow-up,,,integer,bpm,,,,3rd measurement childs heart rate at the FU1,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,HR4FU1,,ENVIRONAGE,4-years follow-up,,,integer,bpm,,,,4th measurement childs heart rate at the FU1,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,HR5FU1,,ENVIRONAGE,4-years follow-up,,,integer,bpm,,,,5th measurement childs heart rate at the FU1,,,,,,False,,,,, +ENVIRONAGE,measurements at FU1,Age_FU,,ENVIRONAGE,4-years follow-up,,,integer,month,,,,Age of child at follow-up visit 1,,,,,,False,,,,, +GenR,core,G2DBP,dbp mother gestage 2,,,1.0.0,,continuous,mmHg,,,,dbp mother gestage 2,,,,,,False,,,,, +GenR,core,AGEIUVD,Gestational age IUVD/TOP,,,1.0.0,,continuous,week,,,,"For pregnancies that resulted in intrauterine fetal death, this variable indicates the week of gestation when happened",,,,,,False,,,,, +GenR,core,age_CB29t35m,Age child 29-35 months,,,1.0.0,,continuous,month,,,,Age child 29-35 months,,,,,,False,,,,, +GenR,core,age_CB17t23m,Age child 17-23 months,,,1.0.0,,continuous,month,,,,Age child 17-23 months,,,,,,False,,,,, +GenR,core,p08_02,vis vet > 2,,,1.0.0,,continuous,gram_per_day,,,,Intake of fatty fish,,,,,,False,,,,, +GenR,core,Psum_int_5,Fractional Rank Percent of sum_int_5,,,1.0.0,,continuous,,,,,Percentile scores of subscale internalizing problems,,,,,,False,,,,, +GenR,core,CRP9_clean,CRP serum Child 9 years cleaned,,,1.0.0,,continuous,mg/litre,,,,CRP from serum measured at research clinics,,,,,,False,,,,, +GenR,core,CRPCHILD5,C-Reactive Protein Child (serum) F5 mg/l,,,1.0.0,,continuous,mg/litre,,,,CRP from serum measured at research clinics,,,,,,False,,,,, +GenR,core,CRP_birth,C-reactive protein (CRP) Child Cordblood,,,1.0.0,,continuous,mg/litre,,,,CRP from cord blood,,,,,,False,,,,, +GenR,core,CRP_g1,C-reactive protein (CRP) Plasma Mother <18 weeks: mg/l,,,1.0.0,,continuous,mg/litre,,,,CRP mother,,,,,,False,,,,, +GenR,core,Carbohydrates_total_Epct,"Total carbohydrate intake, in energy percent [FFQ 8y]",,,1.0.0,,continuous,percent,,,,"Total carbohydrate intake, in energy percent",,,,,,False,,,,, +GenR,core,Carbohydrates_total_g,"Total carbohydrate intake, g/d [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Total carbohydrate intake, g/d",,,,,,False,,,,, +GenR,core,CholesterolChild9_clean,Cholesteorol serum Child 9 years cleaned,,,1.0.0,,continuous,mmol/litre,,,,Cholesterol from serum measured at research clinics,,,,,,False,,,,, +GenR,core,D0900124,GR1024 D9-1 Do you (mother) smoke at the moment? (D0900124),,,1.0.0,,categorical,,,,,Indicates whether the mother smokes,,,,,,False,,,,, +GenR,core,D1000124,GR1024 D10-1 Did you or anybody else smoke at home in the presence of your child last week (D1000124),,,1.0.0,,categorical,,,,,Indicates whether the mother of anyone else smokes at home in the presence of the child in the last week,,,,,,False,,,,, +GenR,core,BIC14M,SkinBiceps at 14 months,,,1.0.0,,continuous,mm,,,,SkinBiceps at 14 months,,,,,,False,,,,, +GenR,core,D1400124,GR1024 D14-1 Do you keep a dog at home? (D1400124),,,1.0.0,,categorical,,,,,Indicates whether they own a dog,,,,,,False,,,,, +GenR,core,D1500124,GR1024 D15-1 Do you keep a pet rodent? (D1500124),,,1.0.0,,categorical,,,,,Indicates whether they own a rodent,,,,,,False,,,,, +GenR,core,DBP1_child9,F@9 BLOODPRESSURE - child: 1st Diastole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,DBP2_child9,F@9 BLOODPRESSURE - child: 2nd Diastole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,DBP3_child9,F@9 BLOODPRESSURE - child: 3nd Diastole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,DBP4_child9,F@9 BLOODPRESSURE - child: 4nd Diastole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,DEP_M6,Depression mother 6months 1024,,,1.0.0,,continuous,,,,,"At 6 months, an abbreviated version of the BSI was assesed in mothers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, GenR,core,DIAB_GRA,Diabetes Gravidarum - unvalidated,,,1.0.0,,categorical,,,,,"Variable indicates whether the participant had gestational diabetes. Criteria: either a random glucose level >11.0 mmol/L, a fasting glucose level ≥7.0 mmol/L or a fasting glucose level between 6.1 and 6.9 mmol/L with a subsequent abnormal glucose tolerance -test (glucose level >7.8 mmol/L after glucose intake)",,,,, -GenR,core,DIAS1_24months,BloodPressureDiastole1 at 24 months,,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured at reseach clinics,,,,, -GenR,core,G1GA,visit <18 weeks,,,1.0.0,,continuous,week,,,,Gestational age at visist,,,,, -GenR,core,DIAS2_24months,BloodPressureDiastole2 at 24 months,,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured at reseach clinics,,,,, -GenR,core,DIAS_P,dbp partner during pregnancy,,,1.0.0,,continuous,mmHg,,,,dbp partner during pregnancy,,,,, -GenR,core,Dias1_5child,F@5 BLOODPRESSURE – child: 1st Diastole (mmHg) (Dias1_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,Dias2_5child,F@5 BLOODPRESSURE – child: 2nd Diastole (mmHg) (Dys2_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,Dias3_5child,F@5 BLOODPRESSURE – child: 3rd Diastole (mmHg) (Dias3_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,Dias4_5child,F@5 BLOODPRESSURE – child: 4th Diastole (mmHg) (Dias4_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,E0300176,GR1076 E3 Does anybody ever smoke in your home?,,,1.0.0,,categorical,,,,,Indicates whether someone smokes in the home of the child,,,,, -GenR,core,E0400176,GR1076 E4 Does the child’s mother smoke at home?,,,1.0.0,,categorical,,,,,Indicates whether the mother of the child smokes at home,,,,, -GenR,core,E0500176,GR1076 E5 Does the child’s father smoke at home?,,,1.0.0,,categorical,,,,,Indicates whether the father of the child smokes at home,,,,, -GenR,core,E0800176,GR1076 E8 Do you have a cat in the house? (E0800176),,,1.0.0,,categorical,,,,,Indicates whether they own a cat,,,,, -GenR,core,E0900176,GR1076 E9 Do you have a dog in the house? (E0900176),,,1.0.0,,categorical,,,,,Indicates whether they own a dog,,,,, -GenR,core,EDUCM3,GR1065 Education mother based on 36 months questionnaire (educm3),,,1.0.0,,categorical,,,,,This indicates the educational level (finished education) at age 3 years of the child,,,,, -GenR,core,EDUCM5,GR1075 Education mother based on 5/6 year questionnaire (educm5),,,1.0.0,,categorical,,,,,This indicates the educational level (finished education) at age 5 years of the child,,,,, -GenR,core,EDUCP3,GR1066 Education partner based on 36 months questionnaire (educp3),,,1.0.0,,categorical,,,,,This indicates the educational level (finished education) of the partner at age 3 years of the child,,,,, -GenR,core,EDUCP5,GR1075 Education partner based on 5/6 year questionnaire (educp5),,,1.0.0,,categorical,,,,,This indicates the educational level (finished education)of the partner at age 5 years of the child,,,,, -GenR,core,EPDS2cat,EPDS in 2 categories,,,1.0.0,,categorical,,,,,Postpartum depression was assessed using the well-validated Edinburgh Postnatal Depression Scale. We used the validated cut-off score of 12 on the EPDS that has an optimal sensitivity of over 80% and a specificity of more than 95% for identifying mothers with a clinical depresssion in s community sample.,,,,, -GenR,core,Energy_kcal,"Total energy intake, kcal/d [FFQ 8y]",,,1.0.0,,continuous,Kcal_per_day,,,,"Total energy intake, kcal/d",,,,, -GenR,core,EDUCP,education level partner,,,1.0.0,,categorical,,,,,This indicates the educational level (finished education) of the partner in the pregnancy period,,,,, -GenR,core,G1DBP,dbp mother gestage 1,,,1.0.0,,continuous,mmHg,,,,dbp mother gestage 1,,,,, -GenR,core,EDUCM,Education level mother: highest education finished,,,1.0.0,,categorical,,,,,This indicates the educational level (finished education) in the pregnancy period,,,,, -GenR,core,A0400118,GR1018 A4-1 Was your child admitted to childrens ward of the hopsital in the first week after birth? (A0400118),,,1.0.0,,categorical,,,,,Hospital admission directly after birth yes/no,,,,, -GenR,core,A0400387,How old was the child when he/she died? F9,,,1.0.0,,continuous,year,,,,this this indicated the child's age at death of family member as asessed at research visit at 9 years,,,,, -GenR,core,A0500101,GR1001 A5-1 Was this pregnancy planned (a0500101),,,1.0.0,,categorical,,,,,"Question on whether the pregnancy was planned or not, at intake",,,,, -GenR,core,A0800201,GR1001 A8-2 What type of infertility treatment (a0800201),,,1.0.0,,categorical,,,,,this indicates what type of treatment was used as infertility treatment,,,,, -GenR,core,A0801001,GR1001 A8-1 Is this pregnancy the result of infertility treatment (a0800101),,,1.0.0,,categorical,,,,,"this indicates whether the pregnancy was a result of an infertility treatment, assessed at intake",,,,, -GenR,core,AGE12M,GR1028 Age questionnaire filled in 12 months child (months) (AGE12M),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,, -GenR,core,AGE14M,visit at 14 months: age in months,,,1.0.0,,continuous,month,,,,visit at 14 months: age in months,,,,, -GenR,core,AGE24M,GR1032 Age questionnaire filled in 24 months child (months) (AGE24M),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,, -GenR,core,AGE24M_M,visit at 24 months: age in months,,,1.0.0,,continuous,month,,,,visit at 24 months: age in months,,,,, -GenR,core,AGE2M_M,GR1019 Age questionnaire filled in 2 months mother (months) (AGE2M_M),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,, -GenR,core,AGE6M_M,GR1024 Age questionnaire filled in 6 months mother (months) (AGE6M_M),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,, -GenR,core,AGE6W_M,visit at 6 weeks: age in months,,,1.0.0,,continuous,month,,,,visit at 6 weeks: age in months,,,,, -GenR,core,p07_01_02,VEAL,,,1.0.0,,continuous,gram_per_day,,,,Intake of veal,,,,, -GenR,core,D1200124,GR1024 D12-1 Do you have a cat at home? (D1200124),,,1.0.0,,categorical,,,,,Indicates whether they own a cat,,,,, -GenR,core,AGEMND48,GR1067 Age questionnaire filled in 48 months child (months) (AGEMND48),,,1.0.0,,continuous,month,,,,Exact age at 48 months questionnaire,,,,, -GenR,core,AGESTOPB,How many months of age was your child when you stopped breastfeeding?,,,1.0.0,,continuous,month,,,,Indicates the age in months of the child when stopped breastfeeding,,,,, -GenR,core,AGE_BF2,age biological father,,,1.0.0,,continuous,year,,,,Age of biological father at birth of child,,,,, -GenR,core,AGE_GR1065,GR1065 Age questionnaire filled in 36 months main caretaker (months) (age_GR1065),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,, -GenR,core,AGE_M_v2,"Age mother at intake (date consent prenatal included, date birth postnatal included) corrected 13-4-2016",,,1.0.0,,continuous,year,,,,Maternal age at intake,,,,, -GenR,core,AGEgr1064,Age at FFQ,,,1.0.0,,continuous,month,,,,Age at FFQ,,,,, -GenR,core,ANX_M6,Anxiety mother 6months 1024,,,1.0.0,,continuous,,,,,"At 6 months, an abbreviated version of the BSI was assesed in mothers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,APGAR5,agpar 5 min singleton live birth,,,1.0.0,,continuous,,,,,Apgar score at 5 min for singleton live births,,,,, -GenR,core,AgeChild_CBCL9m,Age of the child in years questionnaire 1081,,,1.0.0,,continuous,year,,,,age at time of filling out the questionaire (cbcl 9 years),,,,, -GenR,core,AgechildGR1081,age child at time of GR1081 questionnaire,,,1.0.0,,continuous,year,,,,Indicates age of the child in years at time of filling in the questionnaire,,,,, -GenR,core,B0500175_clean,"GR1075 B5 Which description is, at this moment, most applicable to the mother? (aangevuld met open antwoord)",,,1.0.0,,categorical,,,,,Indicates occupational status of the mother,,,,, -GenR,core,B1200175_clean,"GR1075 B12 Which description is, at this moment, most applicable to the father/other carergiver? (aangevuld met open antwoord)",,,1.0.0,,categorical,,,,,Indicates occupational status of the father,,,,, -GenR,core,B2200775,Birth country mother,,,1.0.0,,string,,,,,This indicates the birth country of mothers,,,,, -GenR,core,B2400775,Birth country father,,,1.0.0,,string,,,,,This indicates the birth country of fathers,,,,, -GenR,core,BFEVER,have you ever breastfed your child,,,1.0.0,,categorical,,,,,Indicates whether the child was never or ever breastfed,,,,, -GenR,core,BIC14M,SkinBiceps at 14 months,,,1.0.0,,continuous,mm,,,,SkinBiceps at 14 months,,,,, -GenR,core,BIC6M,SkinBiceps at 6 months,,,1.0.0,,continuous,mm,,,,SkinBiceps at 6 months,,,,, -GenR,core,BIC6W,SkinBiceps at 6 weeks,,,1.0.0,,continuous,mm,,,,SkinBiceps at 6 weeks,,,,, -GenR,core,C0100119,GR1019 C1-1 Does anyone smoke more then once a week in the home where your child is normally left? (C0100119),,,1.0.0,,categorical,,,,,Indicates whether someone smokes more than once a week in a room in the home where the child is normally left,,,,, -GenR,core,C0200119,GR1019 C2-1 Do you smoke at home? (C0200119),,,1.0.0,,categorical,,,,,Indicates whether the mother of the child smokes at home (only filled in if anyone smokes in the home),,,,, -GenR,core,C0200167,GR1067 C2 How long does your child generally watch TV/Video/DVD per day for (C0200167),,,1.0.0,,categorical,,,,,Indicates how long a child watches TV/Video/DVD per day,,,,, -GenR,core,C0300119,GR1019 C3-1 Does your partner smoke at home? (C0300119),,,1.0.0,,categorical,,,,,Indicaties whether the partner of the mother of the child smokes at home (only filled in if anyone smokes in the home),,,,, -GenR,core,p07_01_03,PORK,,,1.0.0,,continuous,gram_per_day,,,,Intake of pork,,,,, -GenR,core,C0400119,GR1019 C4-1 Do other members of the household smoke at home? (C0400119),,,1.0.0,,categorical,,,,,Indicates whether other members of the household smoke at home (only filled in if anyone smokes in the home),,,,, -GenR,core,C0700165,GR1065 C7 Do people smoke occasionally in your home (C0700165),,,1.0.0,,categorical,,,,,Indicates whether people smoke in the home of the child,,,,, -GenR,core,C0800165,GR1065 C8 Does the child s mother smoke in the home (C0800165),,,1.0.0,,categorical,,,,,Indicates whether the mother smokes in the home of the child (only filled in if C0700165 is answered with yes),,,,, -GenR,core,F0100181_cleaned,"GR1081 F1-a Has your child ever had one of the following diseases diagnosed by a doctor? If yes, at what age was it first diagnosed? Asthma (F0100181)",,,1.0.0,,categorical,,,,,Ever diagnosis of asthma after the age of 6 years,,,,, -GenR,core,F0300178,F5 BEHAVIOUR - Cognition child: IQ score (F0300178),,,1.0.0,,continuous,,,,,BEHAVIOUR - Cognition child: IQ score,,,,, -GenR,core,F0400165,F4-a With a childminder in your home,,,1.0.0,,categorical,,,,,"Indicates whether the child is cared for by a babysitter at home (Dutch: oppas, translation in label not correct)",,,,, -GenR,core,F0400265,F4-b With an au pair in your home,,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by an au pair at home,,,,, -GenR,core,F0400365,F4-c In a crèche or day nursery,,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a creche or child day care,,,,, -GenR,core,F0400465,F4-d In a playgroup,,,1.0.0,,categorical,,,,,Indicates whether the child is cared for at a playgroup (kindergarden),,,,, -GenR,core,p07_04,vleesproducten,,,1.0.0,,continuous,gram_per_day,,,,Intake of meat products,,,,, -GenR,core,F0400565,F4-e With a host mother/father,,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a professional child minder,,,,, -GenR,core,F0400665,"F4-f With family, neighbours or friends",,,1.0.0,,categorical,,,,,"Indicates whether the child is cared for by friend, family or relatives",,,,, -GenR,core,F0600281_cleaned,"GR1081 F6-b In the past 12 months has your child had: Any intermittently occurring, itchy, skin rash? (F0600281)",,,1.0.0,,categorical,,,,,Intermittent itchy skin rash in the past 12 months?,,,,, -GenR,core,F0700181_cleaned,GR1081 F7 Do you have any pets? (F0700181),,,1.0.0,,categorical,,,,,Indicates whether they own any pets,,,,, -GenR,core,FEF25_9y,Maximum Expiratory Flow at 75% of Vital Capacity (FEF25) age 9 years,,,1.0.0,,continuous,,,,,Forced Expiratory Flow after exhaling 25% of FVC (L/s),,,,, -GenR,core,G1SBP,sbp mother gestage 1,,,1.0.0,,continuous,mmHg,,,,sbp mother gestage 1,,,,, -GenR,core,H0300225,GR1025 H3-2 How many hours a week is your child cared for by an au pair at your home? (H0300225),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by an au pair at home (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,C0900165,GR1065 C9 Does the child s father smoke in the home (C0900165),,,1.0.0,,categorical,,,,,Indicates whether the father smokes in the home of the child (only filled in if C0700165 is answered with yes),,,,, -GenR,core,C1000119,GR1019 C10-1 Do you have a cat at home? (C1000119),,,1.0.0,,categorical,,,,,Indicates whether they own a cat,,,,, -GenR,core,C1000165,GR1065 C10-a Does your child sometimes find itself in rooms where people smoke (C1000165),,,1.0.0,,categorical,,,,,Indicates whether the child is in rooms where people smoke (only filled in if C0700165 is answered with yes),,,,, -GenR,core,C1200119,GR1019 C12-1 Do you have a dog at home? (C1200119),,,1.0.0,,categorical,,,,,Indicates whether they own a dog,,,,, -GenR,core,C1200132,GR1032 C12-1 C12 Do people smoke occasionally in your house? (C1200132),,,1.0.0,,categorical,,,,,Indicates whether people smoke in the home of the child,,,,, -GenR,core,C1300119,GR1019 C13-1 Do you have a pet rodent at home? (C1300119),,,1.0.0,,categorical,,,,,Indicates whether they own a rodent,,,,, -GenR,core,HEIGHT_2,height postnatal included,,,1.0.0,,continuous,cm,,,,height mother for those postnatally included,,,,, -GenR,core,C1500167,GR1067 C15 How long does your child generally play outside each day (outside school times) (C1500167),,,1.0.0,,categorical,,,,,Indicates how long a child plays outside (outside school hours),,,,, -GenR,core,CFPWV_F5child,F@5 PWV - child: C-F:_PWV_(m/s),,,1.0.0,,continuous,metre_per_second,,,,F@5 PWV - child: C-F:_PWV_(m/s),,,,, -GenR,core,CHOLCH5_C,Cholesterol (serum) F5 mmol/l CLEANED,,,1.0.0,,continuous,mmol/litre,,,,Cholesterol from serum measured at research clinics,,,,, -GenR,core,FG60_45_Meat_red_unprocessed_highfat,"Red meat, unprocessed, high-fat (>5% SFA) intake, g/d [45/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Red meat, unprocessed, high-fat (>5% SFA) intake, g/d",,,,, -GenR,core,FG60_47_Sausagerolls,"Sausage rolls (worstebroodje, sausijzenbroodje) intake, g/d [47/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Sausage rolls (worstebroodje, sausijzenbroodje) intake, g/d",,,,, -GenR,core,FG60_48_Meat_fastfood,"Fast food meat kroket frikande intake, g/d [48/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Fast food meat kroket frikande intake, g/d [48/FG60]",,,,, -GenR,core,FG60_50_Sweettoppings,"Sweet toppings or sandwich fillings intake, g/d [50/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Sweet toppings or sandwich fillings intake, g/d",,,,, -GenR,core,FG60_51_Potatoes_crisps,"Potato crisps intake, g/d [51/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Potato crisps intake, g/d",,,,, -GenR,core,FG60_52_Pizza_savorypie,"Pizza, savory pie, quiche intake, g/d [52/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Pizza, savory pie, quiche intake, g/d",,,,, -GenR,core,FG60_53_Pastadishes,"Pasta dishes, instant noodles intake, g/d [53/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Pasta dishes, instant noodles intake, g/d",,,,, -GenR,core,FG60_54_Honey,"Honey intake, g/d [54/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Honey intake, g/d",,,,, -GenR,core,FG60_55_Sugar_syrup,"Sugar and syrup intake, g/d [55/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Sugar and syrup intake, g/d",,,,, -GenR,core,FG60_56_Nasi_bami_dishes,"Nasi and bami intake, g/d [56/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Nasi and bami intake, g/d",,,,, -GenR,core,FG60_58_Lemonades_sugar,"Lemonades, no concentrate intake, g/d [58/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Lemonade intake, g/d",,,,, -GenR,core,TWIN,Twin birth,,,1.0.0,,categorical,,,,,Twin yes/no,,,,, -GenR,core,FOLIUM_VALIDATED,"folic acid use, known and periconceptional - Sarah Timmermans",,,1.0.0,,categorical,,,,,Indicates whether the particpants used folic acid before or during pregnancy (until 10 weeks of gestation),,,,, -GenR,core,FUPFASE3_9,participantion phase 3 - Focus @9,,,1.0.0,,categorical,,,,,Indicator of partiipation in 9-yr followup examination,,,,, -GenR,core,FVC,Forced Vital Capacity (L),,,1.0.0,,continuous,,,,,Forced Vital Capacity (L),,,,, -GenR,core,PARTBF,partner is biological father,,,1.0.0,,categorical,,,,,Indicates whether partner is biological father,,,,, -GenR,core,Fat_total_Epct,"Total fat intake, in energy percent [FFQ 8y]",,,1.0.0,,continuous,percent,,,,"Total fat intake, in energy percent",,,,, -GenR,core,Fat_total_g,"Total fat intake, g/d [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Total fat intake, g/d",,,,, -GenR,core,G0100132,GR1032 G1-1 Which description applies most to you at the moment? (G0100132),,,1.0.0,,categorical,,,,,Indicates occupational status of the mother,,,,, -GenR,core,G0100232,GR1032 G1-2 Which description applies most to your partner at the moment? (G0100232),,,1.0.0,,categorical,,,,,Indicates occupational status of the father,,,,, -GenR,core,G0900132,GR1032 G9-1 Do you have a partner at the moment? (G0900132),,,1.0.0,,categorical,,,,,This indicates whether mothers had a partner around the age of 2 years of the child,,,,, -GenR,core,G1000132,"GR1032 G10-1 Is your child cared for, on anything like a regular basis, by someone other than you or your partner? (G1000132)",,,1.0.0,,categorical,,,,,Indicates whether the child is in any form of childcare,,,,, -GenR,core,G1100132,GR1032 G11-1 How many hours per week is your child cared for By a baby-sitter in your home (G1100132),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a babysitter at home (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,G1100232,GR1032 G11-2 How many hours per week is your child cared for By an au pair in your home (G1100232),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by an au pair at home (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,G1100332,GR1032 G11-3 How many hours per week is your child cared for By a childminder (G1100332),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a professional child minder (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,G1100432,"GR1032 G11-4 How many hours per week is your child cared for By family, neighbours or friends (G1100432)",,,1.0.0,,categorical,,,,,"Indicates whether the child is cared for by friend, family or relatives (if a positive answer is given on the question whether someone takes care of the child on a regular basis)",,,,, -GenR,core,G1100532,GR1032 G11-5 How many hours per week is your child cared for In a crèche or day nursery (G1100532),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a creche or child day care (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,G1100632,GR1032 G11-6 How many hours per week is your child cared for At a playgroup (G1100632),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for at a playgroup (kindergarden) (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,G2GA,visit 18-25 weeks,,,1.0.0,,continuous,week,,,,Gestational age at visit,,,,, -GenR,core,G2SBP,sbp mother gestage 2,,,1.0.0,,continuous,mmHg,,,,sbp mother gestage 2,,,,, -GenR,core,G3DBP,dbp mother gestage 3,,,1.0.0,,continuous,mmHg,,,,dbp mother gestage 3,,,,, -GenR,core,G3GA,visit >25 weeks,,,1.0.0,,continuous,week,,,,Indicates how many weeks of gestation the mother had when the weight was measured,,,,, -GenR,core,G3SBP,sbp mother gestage 3,,,1.0.0,,continuous,mmHg,,,,sbp mother gestage 3,,,,, -GenR,core,G3WEIGHT,weight mother gestage 3,,,1.0.0,,continuous,kg,,,,weight mother measured during the 3rd prenatal visit (>25 weeks),,,,, -GenR,core,GBLMAM_C,"missing, but is ""Birth country mother of mother update after focus@5""",,,1.0.0,,categorical,,,,,This indicates the birth country of grandmothers of mothers side,,,,, -GenR,core,GBLMAM_CLEAN,Birth country mother of mother update after focus@5,,,1.0.0,,categorical,,,,,This indicates the birth country of grandmothers of mothers side; cleaned variable with less categories,,,,, -GenR,core,GBLMAV_C,"missing, but is ""country of birth mother of father according to GR-1001 plus GR1075""",,,1.0.0,,categorical,,,,,This indicates the birth country of grandmothers of fathers side,,,,, -GenR,core,GBLMAV_CLEAN,country of birth mother of father according to GR-1001 plus GR1075,,,1.0.0,,categorical,,,,,This indicates the birth country of grandmothers of fathers side; cleaned variable with less categories,,,,, -GenR,core,GBLMOE_C,"missing, but is ""Birth country mother at enrolment update after focus@5""",,,1.0.0,,categorical,,,,,This indicates the birth country of mothers,,,,, -GenR,core,GBLPAM_C,"missing, but is ""Birth country of father of mother update after focus@5""",,,1.0.0,,categorical,,,,,This indicated the birth country of grandfathers of mothers side,,,,, -GenR,core,GBLPAM_CLEAN,Birth country of father of mother update after focus@5,,,1.0.0,,categorical,,,,,This indicated the birth country of grandfathers of mothers side; cleaned variable with less categories,,,,, -GenR,core,GBLPAV_C,"missing, but is ""country of birth father of father according to GR-1001""",,,1.0.0,,categorical,,,,,This indicated the birth country of grandfathers of fathers side,,,,, -GenR,core,GBLPAV_CLEAN,country of birth father of father according to GR-1001,,,1.0.0,,categorical,,,,,This indicated the birth country of grandfathers of fathers side; cleaned variable with less categories,,,,, -GenR,core,GBLVAD_C,"missing, but is""Birth country father update after focus@5""",,,1.0.0,,categorical,,,,,This indicates the birth country of father,,,,, -GenR,core,H0300325,GR1025 H3-3 How many hours a week is your child cared for by a host parent? (H0300325),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a host parent (professional child minder)(if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,H0300328,GR1028 H3-3 How may hours a week is your child looked after by a host parent? (H0300328),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a host parent (professional child minder) (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,GestageSerumG1,Gestage Mother serum early pregnancy,,,1.0.0,,continuous,week,,,,Gestage Mother serum early pregnancy,,,,, -GenR,core,GlucoseChild9_clean,Glucose serum Child 9 years cleaned,,,1.0.0,,continuous,mmol/litre,,,,Glucose from serum measured at research clinics,,,,, -GenR,core,GlucoseG1,Glucose mmol/L Mother serum early Pregancy,,,1.0.0,,continuous,mmol/litre,,,,Glucose mmol/L Mother serum early Pregancy,,,,, -GenR,core,H0100125,GR1025 H1-1 Is your child taken care of on a regular basis by a person besides yourself or your partner? (H0100125),,,1.0.0,,categorical,,,,,Indicates whether the child is in any form of childcare,,,,, -GenR,core,HIP24M,AntroHipAccess at 24 months,,,1.0.0,,continuous,cm,,,,AntroHipAccess at 24 months,,,,, -GenR,core,H0100128,GR1028 H1-1 Is your child looked after by somebody other than your partner with any degree of regularity? (H0100128),,,1.0.0,,categorical,,,,,Indicates whether the child is in any form of childcare,,,,, -GenR,core,SYS_P,sbp partner during pregancy,,,1.0.0,,continuous,mmHg,,,,sbp partner during pregancy,,,,, -GenR,core,H0200125,GR1025 H2-1 How old was your child when you started this type of child care? (H0200125),,,1.0.0,,categorical,,,,,Indicates how old the child was when child care was started (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,p07_01_01,BEEF,,,1.0.0,,continuous,gram_per_day,,,,Intake of beef,,,,, -GenR,core,FEF50_9y,Maximum Expiratory Flow at 50% of Vital Capacity (FEF50) age 9 years,,,1.0.0,,continuous,,,,,Forced Expiratory Flow after exhaling 50% of FVC (L/s),,,,, -GenR,core,FEF75,Forced Expiratory Flow after exhaling 75% of FVC (L/s),,,1.0.0,,continuous,,,,,Forced Expiratory Flow after exhaling 75% of FVC (L/s),,,,, -GenR,core,FENO5YR,FeNO in ppb,,,1.0.0,,continuous,parts_per_billion,,,,FeNO in ppb,,,,, -GenR,core,FEV,Forced expiratory volume,,,1.0.0,,continuous,,,,,Forced expiratory volume,,,,, -GenR,core,FG60_01_Fruit_fresh,"Fresh fruit intake, g/d [01/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Fresh fruit intake, g/d",,,,, -GenR,core,FG60_02_Vegetables_cooked,"Cooked vegetables intake, g/d [02/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Cooked vegetables intake, g/d",,,,, -GenR,core,FG60_03_Vegetables_raw,"Raw vegetables intake, g/d [03/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Raw vegetables intake, g/d",,,,, -GenR,core,FG60_04_Bread_whole,"Bread, brown/whole grain intake, g/d [04/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Bread, brown/whole grain intake, g/d",,,,, -GenR,core,FG60_05_Bread_white,"Bread, white intake, g/d [05/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Bread, white intake, g/d",,,,, -GenR,core,FG60_06_Grainproducts_whole,"Grain products, brown whole grain intake, g/d [06/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Grain products, brown whole grain intake, g/d",,,,, -GenR,core,FG60_07_Grainproducts_white,"Grain products, white intake, g/d [07/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Grain products, white intake, g/d",,,,, -GenR,core,FG60_08_Fish_breaded,"Breaded fish products intake, g/d [08/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Breaded fish products intake, g/d",,,,, -GenR,core,FG60_09_Cereals_white_sugar,"Breakfast cereals, white and/or added sugar intake, g/d [09/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Breakfast cereals, white and/or added sugar intake, g/d",,,,, -GenR,core,FG60_10_Fish_fat,"Fatty fish (>10% fat) intake, g/d [10/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Fatty fish (>10% fat) intake, g/d",,,,, -GenR,core,FG60_11_Shellfish,"Shellfish intake, g/d [11/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Shellfish intake, g/d",,,,, -GenR,core,FG60_12_Fish_lowfat,"Lean fish (<2% fat) intake, g/d [12/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Lean fish (<2% fat) intake, g/d",,,,, -GenR,core,FG60_13_Fish_modfat,"Fish, moderately fat (2-10%) intake, g/d [13/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Fish, moderately fat (2-10%) intake, g/d",,,,, -GenR,core,p07_05,orgaanvlees,,,1.0.0,,continuous,gram_per_day,,,,Intake of organmeat,,,,, -GenR,core,FG60_14_Fish_fat_canned,"Canned fatty fish intake, g/d [14/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Canned fatty fish intake, g/d [14/FG60] [FFQ 8y]",,,,, -GenR,core,FG60_15_Meat_red_unprocessed_lowfat,"Red meat, unprocessed, low-fat (≤5% SFA) intake, g/d [15/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Red meat, unprocessed, low-fat (≤5% SFA) intake, g/d",,,,, -GenR,core,FG60_16_Meat_red_processed,"Red meat, processed intake, g/d [16/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Red meat, processed intake, g/d",,,,, -GenR,core,FG60_17_Meat_white_processed,"White meat, processed intake, g/d [17/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"White meat, processed intake, g/d",,,,, -GenR,core,FG60_18_Meat_white_unprocessed_lowfat,"White meat, unprocessed, low-fat (≤5% SFA) intake, g/d [18/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"White meat, unprocessed, low-fat (≤5% SFA) intake, g/d",,,,, -GenR,core,FG60_19_Meatreplacing_products,"Meat replacing products intake, g/d [19/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Meat replacing products intake, g/d",,,,, -GenR,core,FG60_20_Pulses_canned,"Pulses, canned intake, g/d [20/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Pulses, canned intake, g/d",,,,, -GenR,core,FG60_21_Nuts_unsalted,"Nuts, unsalted intake, g/d [21/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Nuts, unsalted intake, g/d",,,,, -GenR,core,FG60_22_Peanuts_peanutbutter,"Peanuts, peanut butter intake, g/d [22/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Peanuts, peanut butter intake, g/d",,,,, -GenR,core,FG60_24_Milk_lowfat,"Skimmed or semi skimmed milk, buttermilk, no added sugar intake, g/d [24/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Skimmed or semi skimmed milk, buttermilk, no added sugar intake, g/d",,,,, -GenR,core,FG60_25_Yogurt_lowfat,"Skimmed or semi-skimmed yoghurt or quark, no added sugar intake, g/d [25/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Skimmed or semi-skimmed yoghurt or quark, no added sugar intake, g/d",,,,, -GenR,core,GENDER,Gender live birth corrected 10-12-2014,,,1.0.0,,categorical,,,,,Gender of the child,,,,, -GenR,core,GESTBIR,Gestational age at birth,,,1.0.0,,continuous,week,,,,Indicates how many weeks of gestation the mother had when the child was born,,,,, -GenR,core,GESTINT,gestational age at intake,,,1.0.0,,continuous,week,,,,Indicates how many weeks of gestation the mother had when enrolled in the study,,,,, -GenR,core,GEST_HB,GEST_HB,,,1.0.0,,continuous,mmol/litre,,,,GEST_HB,,,,, -GenR,core,GEST_HM,GEST_HM,,,1.0.0,,continuous,mmol/litre,,,,GEST_HM,,,,, -GenR,core,GR1080,Indicates whether the 8y FFQ was sent/received,,,1.0.0,,categorical,,,,,Indicates whether the 8y FFQ was sent/received,,,,, -GenR,core,G_M24M,geheel magere massa,,,1.0.0,,continuous,gram,,,,Total body lean mass measured with DXA,,,,, -GenR,core,G_M6M,geheel magere massa,,,1.0.0,,continuous,gram,,,,Total body lean mass measured with DXA,,,,, -GenR,core,G_V24M,geheel vetmassa,,,1.0.0,,continuous,gram,,,,Total body fat mass measured with DXA,,,,, -GenR,core,G_V6M,geheel vetmassa,,,1.0.0,,continuous,gram,,,,Total body fat mass measured with DXA,,,,, -GenR,core,GestagePlasmaG1,Gestage blood,,,1.0.0,,continuous,week,,,,Gestage blood,,,,, -GenR,core,FG60_26_Milk_fullfat,"Full-fat milk intake, g/d [26/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Full-fat milk intake, g/d",,,,, -GenR,core,FG60_27_Yoghurt_fullfat,"Full-fat yoghurt or quark intake, g/d [27/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Full-fat yoghurt or quark intake, g/d",,,,, -GenR,core,FG60_28_Milk_beverages_sugar,"Milk-based beverages with added sugar intake, g/d [28/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Milk-based beverages with added sugar intake, g/d",,,,, -GenR,core,FG60_29_Yogurt_sugar,"Yoghurt or quark with added sugar intake, g/d [29/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Yoghurt or quark with added sugar intake, g/d",,,,, -GenR,core,FG60_30_Cheese_lowfat,"Low-fat cheese (≤30+) intake, g/d [30/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Low-fat cheese (≤30+) intake, g/d",,,,, -GenR,core,FG60_31_Cheese_fullfat,"Full-fat cheese (> 30+) intake, g/d [31/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Full-fat cheese (> 30+) intake, g/d",,,,, -GenR,core,FG60_32_Dairy_desserts,"Dairy based desserts (incl ice-cream) intake, g/d [32/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Dairy based desserts (incl ice-cream) intake, g/d",,,,, -GenR,core,FG60_33_Soymilks,"Soy milk/ soy dessert intake, g/d [33/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Soy milk/ soy dessert intake, g/d",,,,, -GenR,core,FG60_34_Porridge,"Porridge intake, g/d [34/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Porridge intake, g/d",,,,, -GenR,core,FG60_38_Lemonadeconcentrate_sugar,"Lemonade concentrate and fruit juice concentrates with sugar intake, g/d [38/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Lemonade concentrate and fruit juice concentrate intake, g/d",,,,, -GenR,core,FG60_39_Soda_soft_drinks,"Soda, soft drinks intake, g/d [39/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Soda, soft drinks intake, g/d",,,,, -GenR,core,FG60_40_Eggs,"Eggs intake, g/d [40/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Eggs intake, g/d",,,,, -GenR,core,FG60_41_Sweetsnacks,"Sweets, sweet snacks, and cookies intake, g/d [41/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Sweets, sweet snacks, and cookies intake, g/d",,,,, -GenR,core,FG60_42_Savorysnacks,"Savory snacks, excl potato crisp intake, g/d [42/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Savory snacks, excl potato crisp intake, g/d",,,,, -GenR,core,FG60_43_Potatoes,"Potatoes (boiled, fried, but excl crips and french fries) intake, g/d [43/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Potatoes intake, g/d",,,,, -GenR,core,H0200128,GR1028 H2-1 How old was your child when you first started to make use of this type of care? (H0200128),,,1.0.0,,categorical,,,,,Indicates how old the child was when child care was started (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,H0300125,GR1025 H3-1 How many hours a week is your child cared for by a child minder at your home? (H0300125),,,1.0.0,,categorical,,,,,"Indicates whether the child is cared for by a babysitter at home (Dutch: oppas, translation in label not correct) (if a positive answer is given on the question whether someone takes care of the child on a regular basis)",,,,, -GenR,core,H0300128,GR1028 H3-1 How may hours a week is your child looked after by a babysitter in your home? (H0300128),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a babysitter at home (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,Ppro_gm6,Fractional Rank Percent of pro_gm6,,,1.0.0,,continuous,,,,,Percentile score gross motor at 6 months,,,,, -GenR,core,age_CB35t44m,Age child 35-44 months,,,1.0.0,,continuous,month,,,,Age child 35-44 months,,,,, -GenR,core,age_CB44t56m,Age child 44-56 months,,,1.0.0,,continuous,month,,,,Age child 44-56 months,,,,, -GenR,core,age_GR1025_years,Age of the child in years questionnaire 1025,,,1.0.0,,continuous,year,,,,exact child age at time of filling out the questionnaire,,,,, -GenR,core,age_GR1028_years,Age of the child in years questionnaire 1028,,,1.0.0,,continuous,year,,,,exact child age at time of filling out the questionnaire,,,,, -GenR,core,age_GR1029_years,Age of the child in years questionnaire 1029,,,1.0.0,,continuous,year,,,,age at time of filling out the questionaire (cbcl 18 months),,,,, -GenR,core,age_GR1032_years,Age of the child in years questionnaire 1032,,,1.0.0,,continuous,year,,,,exact child age at time of filling out the questionnaire,,,,, -GenR,core,age_GR1065,age child at time of filling in GR1065,,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,, -GenR,core,age_GR1065_years,Age of the child in years questionnaire 1065,,,1.0.0,,continuous,year,,,,age at time of filling out the questionaire (cbcl 36 months),,,,, -GenR,core,agechild9_visit1,Age child visit 1 (years),,,1.0.0,,continuous,year,,,,Age during the visit @9,,,,, -GenR,core,agechild9m,agechild9m,,,1.0.0,,continuous,month,,,,Age Child at 9 years (years),,,,, -GenR,core,agechildGR1076,Age child GR1076 (5 years part 2),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,, -GenR,core,agechild_GR1075,Age child GR1075 (5 years part 1),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,, -GenR,core,agechild_GR1080,Age at FFQ,,,1.0.0,,continuous,year,,,,Age at FFQ (years),,,,, -GenR,core,agechildd,Age child parent died (logistic system 27092018),,,1.0.0,,continuous,year,,,,child's age at death parent according to the logistical tracking system used for contacting participants,,,,, -GenR,core,agem5child,Age Child Focus at 5 years (months),,,1.0.0,,continuous,month,,,,Age child at 5-year follow-up,,,,, -GenR,core,agemother_birthchild,Age mother at birth child (livebirth),,,1.0.0,,continuous,year,,,,"This indicates maternal age at birth, calculated based on her birth date and the child's birthdate",,,,, -GenR,core,agey5child,Age Child Focus at 5 years (years),,,1.0.0,,continuous,year,,,,Age Child at 5 years (years),,,,, -GenR,core,ai_ADHD,avarage items score of ADHD in conners scale,,,1.0.0,,continuous,,,,,avarage items score of ADHD in conners scale,,,,, -GenR,core,ai_fm12,average item score fine motor of Infant/Child Development Inventory measured at 12 months,,,1.0.0,,continuous,,,,,Average item score fine motor at 12 months,,,,, -GenR,core,ai_fm18,average item score fine motor of Child Development Inventory measured at 18 months,,,1.0.0,,continuous,,,,,Average item score fine motor at 18 months,,,,, -GenR,core,ai_fm24,average item score fine motor of Child Development Inventory measured at 24 months,,,1.0.0,,continuous,,,,,Average item score fine motor at 24 months,,,,, -GenR,core,cbcl_int,raw internalizing sumscore scale complete,,,1.0.0,,continuous,,,,,Sumscore of internalizing symptoms reported by mothers,,,,, -GenR,core,ai_fm6,average item score fine motor of Infant/Child Development Inventory measured at 6 months,,,1.0.0,,continuous,,,,,Average item score fine motor at 6 months,,,,, -GenR,core,ai_gm12,average item score gross motor of Infant/Child Development Inventory measured at 12 months,,,1.0.0,,continuous,,,,,Average item score gross motor at 12 months,,,,, -GenR,core,anx_M108_m,Anxiety Mother 108 Months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,SUPRA24M,SkinSuprailiacaal at 24 months,,,1.0.0,,continuous,mm,,,,SkinSuprailiacaal at 24 months,,,,, -GenR,core,SUPRA6M,SkinSuprailiacaal at 6 months,,,1.0.0,,continuous,mm,,,,SkinSuprailiacaal at 6 months,,,,, -GenR,core,SUPRA6W,SkinSuprailiacaal at 6 weeks,,,1.0.0,,continuous,mm,,,,SkinSuprailiacaal at 6 weeks,,,,, -GenR,core,SYS1_24months,BloodPressureSystole1 at 24 months,,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured at reseach clinics,,,,, -GenR,core,SYS2_24months,BloodPressureSystole2 at 24 months,,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured at reseach clinics,,,,, -GenR,core,Saturated_fat_g,"Saturated fat intake, in energy percent [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Saturated fat intake, in energy percent",,,,, -GenR,core,Sys1_5child,F@5 BLOODPRESSURE – child: 1st Systole (mmHg) (Sys1_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,Sys2_5child,F@5 BLOODPRESSURE – child: 2nd Systole (mmHg) (Sys2_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,ai_gm18,average item score gross motor of Child Development Inventory measured at 18 months,,,1.0.0,,continuous,,,,,Average item score gross motor at 18 months,,,,, -GenR,core,ai_gm24,average item score gross motor of Child Development Inventory measured at 24 months,,,1.0.0,,continuous,,,,,Average item score gross motor at 24 months,,,,, -GenR,core,ai_gm6,average item score gross motor of Infant/Child Development Inventory measured at 6 months,,,1.0.0,,continuous,,,,,Average item score gross motor at 6 months,,,,, -GenR,core,alc0,alcohol consumption during pregnancy,,,1.0.0,,categorical,,,,,Indicates whether the participant druk alcohol during pregnancy,,,,, -GenR,core,alc1,alcohol 1st trimester complete - recategorized,,,1.0.0,,categorical,,,,,"Indicates how many glassess of alcohol a participant drunk (first trimester, recategorized)",,,,, -GenR,core,alc1_original,alcohol 1st trimester complete,,,1.0.0,,categorical,,,,,Indicates how many glassess of alcohol a participant drunk (first trimester),,,,, -GenR,core,alc2,alcohol 2nd trimester complete - recategorized,,,1.0.0,,categorical,,,,,"Indicates how many glassess of alcohol a participant drunk (second trimester, recategorized)",,,,, -GenR,core,alc2_original,alcohol 2nd trimester complete,,,1.0.0,,categorical,,,,,Indicates how many glassess of alcohol a participant drunk (second trimester),,,,, -GenR,core,alc3,alcohol 3rd trimester complete - recategorized,,,1.0.0,,categorical,,,,,"Indicates how many glassess of alcohol a participant drunk (third trimester, recategorized)",,,,, -GenR,core,alc3_original,alcohol 3rd trimester complete,,,1.0.0,,categorical,,,,,Indicates how many glassess of alcohol a participant drunk (third trimester),,,,, -GenR,core,all_birch,"allergic sensitization to birch, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,, -GenR,core,all_cashew,"allergic sensitization to cashew nut, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,, -GenR,core,all_cat,"allergic sensitization to cat, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,, -GenR,core,all_dog,"allergic sensitization to dog, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,, -GenR,core,all_food,"food allergic sensitization (SPT), y/n",,,1.0.0,,categorical,,,,,"food allergic sensitization (peanut, hazelnut, cashew nut, peach) as measured by SPT",,,,, -GenR,core,all_grass,"allergic sensitization to grass, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,, -GenR,core,all_hazel,"allergic sensitization to hazelnut, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,, -GenR,core,all_hdm,"allergic sensitization to house dust mite (HDM), y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,, -GenR,core,all_inhalant,"inhalant allergic sensitization (SPT), y/n",,,1.0.0,,categorical,,,,,"inhalant allergic sensitization (house dust mite, birch, grass, cat, dog) as measured by SPT",,,,, -GenR,core,all_peach,"allergic sensitization to peach, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,, -GenR,core,p06,CEREALS AND CEREAL PRODUCTS,,,1.0.0,,continuous,gram_per_day,,,,Intake of cereals and cereal products,,,,, -GenR,core,all_peanut,"allergic sensitization to peanut, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,, -GenR,core,allergy9y,"Current doctor-diagnosed allergy (pollen, HDM, cats, dogs, nuts) at age 9 years, y/n",,,1.0.0,,categorical,,,,,"Allergy to pollen, housedustmite, cats, dogs, peanut or cashew diagnosed by a physician",,,,, -GenR,core,anx_M108_p,Anxiety Partner 108 Months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,FG60_44_Fruit_dried,"Dried fruit (raisins) intake, g/d [44/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Dried fruit (raisins) intake, g/d",,,,, -GenR,core,Praw_nvi,Fractional Rank Percent of raw_nvi,,,1.0.0,,continuous,,,,,Mosaics and Categories of SON-R IQ score,,,,, -GenR,core,Protein_total_Epct,"Total protein intake, in energy percent [FFQ 8y]",,,1.0.0,,continuous,percent,,,,"Total protein intake, in energy percent",,,,, -GenR,core,Protein_total_g,"Total protein intake, g/d [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Total protein intake, g/d",,,,, -GenR,core,Psum_ADH,Fractional Rank Percent of sum_ADHD,,,1.0.0,,continuous,,,,,Percentile scores of sumscore of Conners,,,,, -GenR,core,Psum_ext,Fractional Rank Percent of sum_ext,,,1.0.0,,continuous,,,,,Percentile scores of subscale externalizing problems,,,,, -GenR,core,Psum_ext_36,Fractional Rank Percent of sum_ext_36m,,,1.0.0,,continuous,,,,,Percentile scores of subscale externalizing problems,,,,, -GenR,core,Psum_ext_5,Fractional Rank Percent of sum_ext_5,,,1.0.0,,continuous,,,,,Percentile scores of subscale externalizing problems,,,,, -GenR,core,Psum_ext_9m,Fractional Rank Percent of sum_ext_9m,,,1.0.0,,continuous,,,,,Percentile scores of subscale externalizing problems,,,,, -GenR,core,Psum_int,Fractional Rank Percent of sum_int,,,1.0.0,,continuous,,,,,Percentile scores of subscale internalizing problems,,,,, -GenR,core,Psum_int_36,Fractional Rank Percent of sum_int_36m,,,1.0.0,,continuous,,,,,Percentile scores of subscale internalizing problems,,,,, -GenR,core,Psum_int_9m,Fractional Rank Percent of sum_int_9m,,,1.0.0,,continuous,,,,,Percentile scores of subscale internalizing problems,,,,, -GenR,core,Pulse1_5child,F@5 BLOODPRESSURE – child 1st Pulse (mean) (Pulse1_5child),,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,, -GenR,core,SBP4_child9,F@9 BLOODPRESSURE - child: 4th Systole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,agechild9,agechild9,,,1.0.0,,continuous,year,,,,Age Child at 9 years (years),,,,, -GenR,core,SMOKE_ALL,maternal smoking during pregnancy - all included women,,,1.0.0,,categorical,,,,,Indicates the smoking habits of the mother during the index pregnancy,,,,, -GenR,core,SUB14M,SkinSubscapulair at 14 months,,,1.0.0,,continuous,mm,,,,SkinSubscapulair at 14 months,,,,, -GenR,core,SUB24M,SkinSubscapulair at 24 months,,,1.0.0,,continuous,mm,,,,SkinSubscapulair at 24 months,,,,, -GenR,core,SUB6M,SkinSubscapulair at 6 months,,,1.0.0,,continuous,mm,,,,SkinSubscapulair at 6 months,,,,, -GenR,core,SUB6W,SkinSubscapulair at 6 weeks,,,1.0.0,,continuous,mm,,,,SkinSubscapulair at 6 weeks,,,,, -GenR,core,SUPRA14M,SkinSuprailiacaal at 14 months,,,1.0.0,,continuous,mm,,,,SkinSuprailiacaal at 14 months,,,,, -GenR,core,Sys4_5child,F@5 BLOODPRESSURE – child: 4th Systole (mmHg) (Sys4_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,TCholmetoutliers_1,"cholesterol mother during pregnancy including outliers, minus gekke waarden",,,1.0.0,,continuous,mmol/litre,,,,cholesterol mother during pregnancy,,,,, -GenR,core,ecz1y,eczema doctor attended age1,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 12 months,,,,, -GenR,core,TGCH5_C,Triglycerids Child (serum) F5 mmol/l CLEANED,,,1.0.0,,continuous,mmol/litre,,,,Triglycerides from serum measured at research clinics,,,,, -GenR,core,TGmetoutliers_1,"TG mother during pregnancy including outliers, minus gekke waarden",,,1.0.0,,continuous,mmol/litre,,,,TG mother during pregnancy,,,,, -GenR,core,TRIC14M,SkinTriceps at 14 months,,,1.0.0,,continuous,mm,,,,SkinTriceps at 14 months,,,,, -GenR,core,TRIC24M,SkinTriceps at 24 months,,,1.0.0,,continuous,mm,,,,SkinTriceps at 24 months,,,,, -GenR,core,TRIC6M,SkinTriceps at 6 months,,,1.0.0,,continuous,mm,,,,SkinTriceps at 6 months,,,,, -GenR,core,TRIC6W,SkinTriceps at 6 weeks,,,1.0.0,,continuous,mm,,,,SkinTriceps at 6 weeks,,,,, -GenR,core,Triglyceriden9_clean,Triglyceriden serum Child 9 years cleaned,,,1.0.0,,continuous,mmol/litre,,,,Triglycerides from serum measured at research clinics,,,,, -GenR,core,UITDRIJF,Delivery singleton Live birth,,,1.0.0,,categorical,,,,,Indicates the mode of delivery in the index pregnancy,,,,, -GenR,core,URTI_1y,upper respiratory tract infection 1 years yes/no,,,1.0.0,,categorical,,,,,"Ear or throat infection, pseudocroup or whooping cough in the past 12 months",,,,, -GenR,core,URTI_2y,upper respiratory tract infection 2 years yes/no,,,1.0.0,,categorical,,,,,"Ear or throat infection, pseudocroup or whooping cough in the past 12 months",,,,, -GenR,core,URTI_3y,upper respiratory tract infection 3 years yes/no,,,1.0.0,,categorical,,,,,"Ear or throat infection, pseudocroup or whooping cough in the past 12 months",,,,, -GenR,core,URTI_4y,upper respiratory tract infection 4 years yes/no,,,1.0.0,,categorical,,,,,Ear or throat infection or pseudocroup in the past 12 months,,,,, -GenR,core,URTI_6mo,upper respiratory tract infection 6 months yes/no,,,1.0.0,,categorical,,,,,"Ear or throat infection, pseudocroup or whooping cough in the first 6 months",,,,, -GenR,core,URTI_6y,upper respiratory tract infection 6 years yes/no,,,1.0.0,,categorical,,,,,Ear or throat infection or pseudocroup in the past 12 months,,,,, -GenR,core,WAIST24M,AntroWaistAccess at 24 months,,,1.0.0,,continuous,cm,,,,AntroWaistAccess at 24 months,,,,, -GenR,core,WEIGHT,Weight live birth,,,1.0.0,,continuous,kg,,,,Birth weight,,,,, -GenR,core,WEIGHT_0,What was your weight just before this pregnancy,,,1.0.0,,continuous,kg,,,,weight mother before pregnancy,,,,, -GenR,core,X0500165,GR1065 X5-1 Do you have a partner present? (X0500165),,,1.0.0,,categorical,,,,,This indicates whether mothers had a partner around the age of XXX,,,,, -GenR,core,ZFEF75,"Forced Expiratory Flow after exhaling 75% of FVC, z-score according to GLI reference criteria",,,1.0.0,,continuous,,,,,"Forced Expiratory Flow after exhaling 75% of FVC, z-score according to GLI reference criteria",,,,, -GenR,core,ZFEV,"Forced Expiratotory Volume in the first second, z-score according to GLI reference criteria",,,1.0.0,,continuous,,,,,"Forced Expiratotory Volume in the first second, z-score according to GLI reference criteria",,,,, -GenR,core,ZFEVFVC,"Forced Expiratotory Volume in the first second/Forced Vital Capacity, z-score according to GLI reference data",,,1.0.0,,continuous,,,,,"Forced Expiratotory Volume in the first second/Forced Vital Capacity, z-score according to GLI reference data",,,,, -GenR,core,ZFVC,"Forced Vital Capacity, z-score according to GLI reference criteria",,,1.0.0,,continuous,,,,,"Forced Vital Capacity, z-score according to GLI reference criteria",,,,, -GenR,core,a0400187,A0400187.1: Does the father / mother or the other carer of your child still live? F9,,,1.0.0,,categorical,,,,,parental death according to information at research visit,,,,, -GenR,core,a0400287_cleaned,Who died? F9,,,1.0.0,,categorical,,,,,"Indicates who died, 1st and 2nd degree relatives and others",,,,, -GenR,core,a0600104,GR1004 A6-1 diabetes (a0600104),,,1.0.0,,categorical,,,,,Indicates whether the partner was ever diagnosed with diabetes. Note: it is not know whether this is the biological father,,,,, -GenR,core,a0900103,GR1003 A9-1 a period with fever_past 2 months? (a0900103),,,1.0.0,,categorical,,,,,Variable indicatetes whether the particpant had a period with fever (temp>38o) in the past 2 months.,,,,, -GenR,core,a2200104,GR1004 A22-1 asthma (a2200104),,,1.0.0,,categorical,,,,,Indicates whether the partner was ever diagnosed with asthma. Note: it is not known whether this is the biological father.,,,,, -GenR,core,age_GR1075_years,Age of the child in years questionnaire 1075,,,1.0.0,,continuous,year,,,,age at time of filling out the questionaire (cbcl 5 years),,,,, -GenR,core,a2200204,GR1004 A22-2 treated in the past 12 months (a2200204) (Note: this label is incorrect. It should be GR1004 A22-2 was asthma confirmed by a doctor?),,,1.0.0,,categorical,,,,,Indicates whether asthma (if question on asthma is yes) was confirmed by a doctor,,,,, -GenR,core,age5childmDXA,Age child DXA,,,1.0.0,,continuous,month,,,,Age in months at DXA scan at 6 years of age,,,,, -GenR,core,ecz2y,eczema doc-attended age 2,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 12 months,,,,, -GenR,core,ageBF_atDelivery,Age of Father at birth of the child,,,1.0.0,,continuous,year,,,,Age of Father at birth of the child,,,,, -GenR,core,ageChildMF5,Age Child Focus at 5 years (months),,,1.0.0,,continuous,month,,,,Age Child Focus at 5 years (months),,,,, -GenR,core,ageChildYF5,Age Child Focus at 5 years (years),,,1.0.0,,continuous,year,,,,exact child age at time of the assessment at the research center,,,,, -GenR,core,age_CB02m,age_CB02m: Age child 2 months,,,1.0.0,,continuous,month,,,,Age child 2 months,,,,, -GenR,core,age_CB03m,Age child 3 months,,,1.0.0,,continuous,month,,,,Age child 3 months,,,,, -GenR,core,age_CB04m,Age child 4 months,,,1.0.0,,continuous,month,,,,Age child 4 months,,,,, -GenR,core,age_CB05t10m,Age child 5-10 months,,,1.0.0,,continuous,month,,,,Age child 5-10 months,,,,, -GenR,core,age_CB0t2m,age_CB0t2m: Age child 0-2 months,,,1.0.0,,continuous,month,,,,Age child 0-2 months,,,,, -GenR,core,age_CB10t13m,Age child 10-13 months,,,1.0.0,,continuous,month,,,,Age child 10-13 months,,,,, -GenR,core,age_CB13t17m,Age child 13-17 months,,,1.0.0,,continuous,month,,,,Age child 13-17 months,,,,, -GenR,core,age_CB23t29m,Age child 23-29 months,,,1.0.0,,continuous,month,,,,Age child 23-29 months,,,,, -GenR,core,age_CB23t35m,Age child 23-35 months,,,1.0.0,,continuous,month,,,,Age child 23-35 months,,,,, -GenR,core,p07_01_04,MUTTON/LAMB,,,1.0.0,,continuous,gram_per_day,,,,Intake of mutton/lamb,,,,, -GenR,core,atdus,aterm date based on ultrasound,,,1.0.0,,continuous,,,,,Aterm date based on ultrasound,,,,, -GenR,core,b0900101,GR1001 B9-1 Pregnancy diabetes_in a previous pregnancy (b0900101),,,1.0.0,,categorical,,,,,Indicates whether a participants had gestational diabetes in a prevous pregnancy.,,,,, -GenR,core,b0900105,GR1005 B9-1 A period with fever (temp> 38)_past 3 months (b0900105),,,1.0.0,,categorical,,,,,Variable indicates whether the participant had a period with fever (temp>38o) in the past 3 months.,,,,, -GenR,core,birthMother,Year of birth mother,,,1.0.0,,continuous,,,,,"precise date of birth mother, only available for datamanagement",,,,, -GenR,core,birth_partner,Year of birth father,,,1.0.0,,continuous,,,,,"precise date of birth father, only available for datamanagement",,,,, +test (glucose level >7.8 mmol/L after glucose intake)",,,,,,False,,,,, +GenR,core,DIAS1_24months,BloodPressureDiastole1 at 24 months,,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured at reseach clinics,,,,,,False,,,,, +GenR,core,G1GA,visit <18 weeks,,,1.0.0,,continuous,week,,,,Gestational age at visist,,,,,,False,,,,, +GenR,core,DIAS2_24months,BloodPressureDiastole2 at 24 months,,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured at reseach clinics,,,,,,False,,,,, +GenR,core,DIAS_P,dbp partner during pregnancy,,,1.0.0,,continuous,mmHg,,,,dbp partner during pregnancy,,,,,,False,,,,, +GenR,core,Dias1_5child,F@5 BLOODPRESSURE – child: 1st Diastole (mmHg) (Dias1_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,Dias2_5child,F@5 BLOODPRESSURE – child: 2nd Diastole (mmHg) (Dys2_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,Dias3_5child,F@5 BLOODPRESSURE – child: 3rd Diastole (mmHg) (Dias3_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,Dias4_5child,F@5 BLOODPRESSURE – child: 4th Diastole (mmHg) (Dias4_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,E0300176,GR1076 E3 Does anybody ever smoke in your home?,,,1.0.0,,categorical,,,,,Indicates whether someone smokes in the home of the child,,,,,,False,,,,, +GenR,core,E0400176,GR1076 E4 Does the child’s mother smoke at home?,,,1.0.0,,categorical,,,,,Indicates whether the mother of the child smokes at home,,,,,,False,,,,, +GenR,core,E0500176,GR1076 E5 Does the child’s father smoke at home?,,,1.0.0,,categorical,,,,,Indicates whether the father of the child smokes at home,,,,,,False,,,,, +GenR,core,E0800176,GR1076 E8 Do you have a cat in the house? (E0800176),,,1.0.0,,categorical,,,,,Indicates whether they own a cat,,,,,,False,,,,, +GenR,core,E0900176,GR1076 E9 Do you have a dog in the house? (E0900176),,,1.0.0,,categorical,,,,,Indicates whether they own a dog,,,,,,False,,,,, +GenR,core,EDUCM3,GR1065 Education mother based on 36 months questionnaire (educm3),,,1.0.0,,categorical,,,,,This indicates the educational level (finished education) at age 3 years of the child,,,,,,False,,,,, +GenR,core,EDUCM5,GR1075 Education mother based on 5/6 year questionnaire (educm5),,,1.0.0,,categorical,,,,,This indicates the educational level (finished education) at age 5 years of the child,,,,,,False,,,,, +GenR,core,EDUCP3,GR1066 Education partner based on 36 months questionnaire (educp3),,,1.0.0,,categorical,,,,,This indicates the educational level (finished education) of the partner at age 3 years of the child,,,,,,False,,,,, +GenR,core,EDUCP5,GR1075 Education partner based on 5/6 year questionnaire (educp5),,,1.0.0,,categorical,,,,,This indicates the educational level (finished education)of the partner at age 5 years of the child,,,,,,False,,,,, +GenR,core,EPDS2cat,EPDS in 2 categories,,,1.0.0,,categorical,,,,,Postpartum depression was assessed using the well-validated Edinburgh Postnatal Depression Scale. We used the validated cut-off score of 12 on the EPDS that has an optimal sensitivity of over 80% and a specificity of more than 95% for identifying mothers with a clinical depresssion in s community sample.,,,,,,False,,,,, +GenR,core,Energy_kcal,"Total energy intake, kcal/d [FFQ 8y]",,,1.0.0,,continuous,Kcal_per_day,,,,"Total energy intake, kcal/d",,,,,,False,,,,, +GenR,core,EDUCP,education level partner,,,1.0.0,,categorical,,,,,This indicates the educational level (finished education) of the partner in the pregnancy period,,,,,,False,,,,, +GenR,core,G1DBP,dbp mother gestage 1,,,1.0.0,,continuous,mmHg,,,,dbp mother gestage 1,,,,,,False,,,,, +GenR,core,EDUCM,Education level mother: highest education finished,,,1.0.0,,categorical,,,,,This indicates the educational level (finished education) in the pregnancy period,,,,,,False,,,,, +GenR,core,BIC6M,SkinBiceps at 6 months,,,1.0.0,,continuous,mm,,,,SkinBiceps at 6 months,,,,,,False,,,,, +GenR,core,A0400118,GR1018 A4-1 Was your child admitted to childrens ward of the hopsital in the first week after birth? (A0400118),,,1.0.0,,categorical,,,,,Hospital admission directly after birth yes/no,,,,,,False,,,,, +GenR,core,A0400387,How old was the child when he/she died? F9,,,1.0.0,,continuous,year,,,,this this indicated the child's age at death of family member as asessed at research visit at 9 years,,,,,,False,,,,, +GenR,core,A0500101,GR1001 A5-1 Was this pregnancy planned (a0500101),,,1.0.0,,categorical,,,,,"Question on whether the pregnancy was planned or not, at intake",,,,,,False,,,,, +GenR,core,A0800201,GR1001 A8-2 What type of infertility treatment (a0800201),,,1.0.0,,categorical,,,,,this indicates what type of treatment was used as infertility treatment,,,,,,False,,,,, +GenR,core,A0801001,GR1001 A8-1 Is this pregnancy the result of infertility treatment (a0800101),,,1.0.0,,categorical,,,,,"this indicates whether the pregnancy was a result of an infertility treatment, assessed at intake",,,,,,False,,,,, +GenR,core,AGE12M,GR1028 Age questionnaire filled in 12 months child (months) (AGE12M),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,,,False,,,,, +GenR,core,AGE14M,visit at 14 months: age in months,,,1.0.0,,continuous,month,,,,visit at 14 months: age in months,,,,,,False,,,,, +GenR,core,AGE24M,GR1032 Age questionnaire filled in 24 months child (months) (AGE24M),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,,,False,,,,, +GenR,core,AGE24M_M,visit at 24 months: age in months,,,1.0.0,,continuous,month,,,,visit at 24 months: age in months,,,,,,False,,,,, +GenR,core,AGE2M_M,GR1019 Age questionnaire filled in 2 months mother (months) (AGE2M_M),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,,,False,,,,, +GenR,core,AGE6M_M,GR1024 Age questionnaire filled in 6 months mother (months) (AGE6M_M),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,,,False,,,,, +GenR,core,AGE6W_M,visit at 6 weeks: age in months,,,1.0.0,,continuous,month,,,,visit at 6 weeks: age in months,,,,,,False,,,,, +GenR,core,p07_01_02,VEAL,,,1.0.0,,continuous,gram_per_day,,,,Intake of veal,,,,,,False,,,,, +GenR,core,D1200124,GR1024 D12-1 Do you have a cat at home? (D1200124),,,1.0.0,,categorical,,,,,Indicates whether they own a cat,,,,,,False,,,,, +GenR,core,AGEMND48,GR1067 Age questionnaire filled in 48 months child (months) (AGEMND48),,,1.0.0,,continuous,month,,,,Exact age at 48 months questionnaire,,,,,,False,,,,, +GenR,core,AGESTOPB,How many months of age was your child when you stopped breastfeeding?,,,1.0.0,,continuous,month,,,,Indicates the age in months of the child when stopped breastfeeding,,,,,,False,,,,, +GenR,core,AGE_BF2,age biological father,,,1.0.0,,continuous,year,,,,Age of biological father at birth of child,,,,,,False,,,,, +GenR,core,AGE_GR1065,GR1065 Age questionnaire filled in 36 months main caretaker (months) (age_GR1065),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,,,False,,,,, +GenR,core,AGE_M_v2,"Age mother at intake (date consent prenatal included, date birth postnatal included) corrected 13-4-2016",,,1.0.0,,continuous,year,,,,Maternal age at intake,,,,,,False,,,,, +GenR,core,AGEgr1064,Age at FFQ,,,1.0.0,,continuous,month,,,,Age at FFQ,,,,,,False,,,,, +GenR,core,ANX_M6,Anxiety mother 6months 1024,,,1.0.0,,continuous,,,,,"At 6 months, an abbreviated version of the BSI was assesed in mothers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,APGAR5,agpar 5 min singleton live birth,,,1.0.0,,continuous,,,,,Apgar score at 5 min for singleton live births,,,,,,False,,,,, +GenR,core,AgeChild_CBCL9m,Age of the child in years questionnaire 1081,,,1.0.0,,continuous,year,,,,age at time of filling out the questionaire (cbcl 9 years),,,,,,False,,,,, +GenR,core,AgechildGR1081,age child at time of GR1081 questionnaire,,,1.0.0,,continuous,year,,,,Indicates age of the child in years at time of filling in the questionnaire,,,,,,False,,,,, +GenR,core,B0500175_clean,"GR1075 B5 Which description is, at this moment, most applicable to the mother? (aangevuld met open antwoord)",,,1.0.0,,categorical,,,,,Indicates occupational status of the mother,,,,,,False,,,,, +GenR,core,B1200175_clean,"GR1075 B12 Which description is, at this moment, most applicable to the father/other carergiver? (aangevuld met open antwoord)",,,1.0.0,,categorical,,,,,Indicates occupational status of the father,,,,,,False,,,,, +GenR,core,B2200775,Birth country mother,,,1.0.0,,string,,,,,This indicates the birth country of mothers,,,,,,False,,,,, +GenR,core,B2400775,Birth country father,,,1.0.0,,string,,,,,This indicates the birth country of fathers,,,,,,False,,,,, +GenR,core,BFEVER,have you ever breastfed your child,,,1.0.0,,categorical,,,,,Indicates whether the child was never or ever breastfed,,,,,,False,,,,, +GenR,core,BIC6W,SkinBiceps at 6 weeks,,,1.0.0,,continuous,mm,,,,SkinBiceps at 6 weeks,,,,,,False,,,,, +GenR,core,C0100119,GR1019 C1-1 Does anyone smoke more then once a week in the home where your child is normally left? (C0100119),,,1.0.0,,categorical,,,,,Indicates whether someone smokes more than once a week in a room in the home where the child is normally left,,,,,,False,,,,, +GenR,core,C0200119,GR1019 C2-1 Do you smoke at home? (C0200119),,,1.0.0,,categorical,,,,,Indicates whether the mother of the child smokes at home (only filled in if anyone smokes in the home),,,,,,False,,,,, +GenR,core,C0200167,GR1067 C2 How long does your child generally watch TV/Video/DVD per day for (C0200167),,,1.0.0,,categorical,,,,,Indicates how long a child watches TV/Video/DVD per day,,,,,,False,,,,, +GenR,core,C0300119,GR1019 C3-1 Does your partner smoke at home? (C0300119),,,1.0.0,,categorical,,,,,Indicaties whether the partner of the mother of the child smokes at home (only filled in if anyone smokes in the home),,,,,,False,,,,, +GenR,core,p07_01_03,PORK,,,1.0.0,,continuous,gram_per_day,,,,Intake of pork,,,,,,False,,,,, +GenR,core,C0400119,GR1019 C4-1 Do other members of the household smoke at home? (C0400119),,,1.0.0,,categorical,,,,,Indicates whether other members of the household smoke at home (only filled in if anyone smokes in the home),,,,,,False,,,,, +GenR,core,C0700165,GR1065 C7 Do people smoke occasionally in your home (C0700165),,,1.0.0,,categorical,,,,,Indicates whether people smoke in the home of the child,,,,,,False,,,,, +GenR,core,C0800165,GR1065 C8 Does the child s mother smoke in the home (C0800165),,,1.0.0,,categorical,,,,,Indicates whether the mother smokes in the home of the child (only filled in if C0700165 is answered with yes),,,,,,False,,,,, +GenR,core,F0100181_cleaned,"GR1081 F1-a Has your child ever had one of the following diseases diagnosed by a doctor? If yes, at what age was it first diagnosed? Asthma (F0100181)",,,1.0.0,,categorical,,,,,Ever diagnosis of asthma after the age of 6 years,,,,,,False,,,,, +GenR,core,F0300178,F5 BEHAVIOUR - Cognition child: IQ score (F0300178),,,1.0.0,,continuous,,,,,BEHAVIOUR - Cognition child: IQ score,,,,,,False,,,,, +GenR,core,F0400165,F4-a With a childminder in your home,,,1.0.0,,categorical,,,,,"Indicates whether the child is cared for by a babysitter at home (Dutch: oppas, translation in label not correct)",,,,,,False,,,,, +GenR,core,F0400265,F4-b With an au pair in your home,,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by an au pair at home,,,,,,False,,,,, +GenR,core,F0400365,F4-c In a crèche or day nursery,,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a creche or child day care,,,,,,False,,,,, +GenR,core,F0400465,F4-d In a playgroup,,,1.0.0,,categorical,,,,,Indicates whether the child is cared for at a playgroup (kindergarden),,,,,,False,,,,, +GenR,core,p07_04,vleesproducten,,,1.0.0,,continuous,gram_per_day,,,,Intake of meat products,,,,,,False,,,,, +GenR,core,F0400565,F4-e With a host mother/father,,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a professional child minder,,,,,,False,,,,, +GenR,core,F0400665,"F4-f With family, neighbours or friends",,,1.0.0,,categorical,,,,,"Indicates whether the child is cared for by friend, family or relatives",,,,,,False,,,,, +GenR,core,F0600281_cleaned,"GR1081 F6-b In the past 12 months has your child had: Any intermittently occurring, itchy, skin rash? (F0600281)",,,1.0.0,,categorical,,,,,Intermittent itchy skin rash in the past 12 months?,,,,,,False,,,,, +GenR,core,F0700181_cleaned,GR1081 F7 Do you have any pets? (F0700181),,,1.0.0,,categorical,,,,,Indicates whether they own any pets,,,,,,False,,,,, +GenR,core,FEF25_9y,Maximum Expiratory Flow at 75% of Vital Capacity (FEF25) age 9 years,,,1.0.0,,continuous,,,,,Forced Expiratory Flow after exhaling 25% of FVC (L/s),,,,,,False,,,,, +GenR,core,G1SBP,sbp mother gestage 1,,,1.0.0,,continuous,mmHg,,,,sbp mother gestage 1,,,,,,False,,,,, +GenR,core,H0300225,GR1025 H3-2 How many hours a week is your child cared for by an au pair at your home? (H0300225),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by an au pair at home (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,C0900165,GR1065 C9 Does the child s father smoke in the home (C0900165),,,1.0.0,,categorical,,,,,Indicates whether the father smokes in the home of the child (only filled in if C0700165 is answered with yes),,,,,,False,,,,, +GenR,core,C1000119,GR1019 C10-1 Do you have a cat at home? (C1000119),,,1.0.0,,categorical,,,,,Indicates whether they own a cat,,,,,,False,,,,, +GenR,core,C1000165,GR1065 C10-a Does your child sometimes find itself in rooms where people smoke (C1000165),,,1.0.0,,categorical,,,,,Indicates whether the child is in rooms where people smoke (only filled in if C0700165 is answered with yes),,,,,,False,,,,, +GenR,core,C1200119,GR1019 C12-1 Do you have a dog at home? (C1200119),,,1.0.0,,categorical,,,,,Indicates whether they own a dog,,,,,,False,,,,, +GenR,core,C1200132,GR1032 C12-1 C12 Do people smoke occasionally in your house? (C1200132),,,1.0.0,,categorical,,,,,Indicates whether people smoke in the home of the child,,,,,,False,,,,, +GenR,core,TRIC6W,SkinTriceps at 6 weeks,,,1.0.0,,continuous,mm,,,,SkinTriceps at 6 weeks,,,,,,False,,,,, +GenR,core,C1300119,GR1019 C13-1 Do you have a pet rodent at home? (C1300119),,,1.0.0,,categorical,,,,,Indicates whether they own a rodent,,,,,,False,,,,, +GenR,core,HEIGHT_2,height postnatal included,,,1.0.0,,continuous,cm,,,,height mother for those postnatally included,,,,,,False,,,,, +GenR,core,C1500167,GR1067 C15 How long does your child generally play outside each day (outside school times) (C1500167),,,1.0.0,,categorical,,,,,Indicates how long a child plays outside (outside school hours),,,,,,False,,,,, +GenR,core,CFPWV_F5child,F@5 PWV - child: C-F:_PWV_(m/s),,,1.0.0,,continuous,metre_per_second,,,,F@5 PWV - child: C-F:_PWV_(m/s),,,,,,False,,,,, +GenR,core,CHOLCH5_C,Cholesterol (serum) F5 mmol/l CLEANED,,,1.0.0,,continuous,mmol/litre,,,,Cholesterol from serum measured at research clinics,,,,,,False,,,,, +GenR,core,FG60_45_Meat_red_unprocessed_highfat,"Red meat, unprocessed, high-fat (>5% SFA) intake, g/d [45/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Red meat, unprocessed, high-fat (>5% SFA) intake, g/d",,,,,,False,,,,, +GenR,core,FG60_47_Sausagerolls,"Sausage rolls (worstebroodje, sausijzenbroodje) intake, g/d [47/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Sausage rolls (worstebroodje, sausijzenbroodje) intake, g/d",,,,,,False,,,,, +GenR,core,FG60_48_Meat_fastfood,"Fast food meat kroket frikande intake, g/d [48/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Fast food meat kroket frikande intake, g/d [48/FG60]",,,,,,False,,,,, +GenR,core,FG60_50_Sweettoppings,"Sweet toppings or sandwich fillings intake, g/d [50/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Sweet toppings or sandwich fillings intake, g/d",,,,,,False,,,,, +GenR,core,FG60_51_Potatoes_crisps,"Potato crisps intake, g/d [51/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Potato crisps intake, g/d",,,,,,False,,,,, +GenR,core,FG60_52_Pizza_savorypie,"Pizza, savory pie, quiche intake, g/d [52/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Pizza, savory pie, quiche intake, g/d",,,,,,False,,,,, +GenR,core,FG60_53_Pastadishes,"Pasta dishes, instant noodles intake, g/d [53/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Pasta dishes, instant noodles intake, g/d",,,,,,False,,,,, +GenR,core,FG60_54_Honey,"Honey intake, g/d [54/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Honey intake, g/d",,,,,,False,,,,, +GenR,core,FG60_55_Sugar_syrup,"Sugar and syrup intake, g/d [55/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Sugar and syrup intake, g/d",,,,,,False,,,,, +GenR,core,FG60_56_Nasi_bami_dishes,"Nasi and bami intake, g/d [56/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Nasi and bami intake, g/d",,,,,,False,,,,, +GenR,core,FG60_58_Lemonades_sugar,"Lemonades, no concentrate intake, g/d [58/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Lemonade intake, g/d",,,,,,False,,,,, +GenR,core,TWIN,Twin birth,,,1.0.0,,categorical,,,,,Twin yes/no,,,,,,False,,,,, +GenR,core,FOLIUM_VALIDATED,"folic acid use, known and periconceptional - Sarah Timmermans",,,1.0.0,,categorical,,,,,Indicates whether the particpants used folic acid before or during pregnancy (until 10 weeks of gestation),,,,,,False,,,,, +GenR,core,FUPFASE3_9,participantion phase 3 - Focus @9,,,1.0.0,,categorical,,,,,Indicator of partiipation in 9-yr followup examination,,,,,,False,,,,, +GenR,core,FVC,Forced Vital Capacity (L),,,1.0.0,,continuous,,,,,Forced Vital Capacity (L),,,,,,False,,,,, +GenR,core,PARTBF,partner is biological father,,,1.0.0,,categorical,,,,,Indicates whether partner is biological father,,,,,,False,,,,, +GenR,core,Fat_total_Epct,"Total fat intake, in energy percent [FFQ 8y]",,,1.0.0,,continuous,percent,,,,"Total fat intake, in energy percent",,,,,,False,,,,, +GenR,core,Fat_total_g,"Total fat intake, g/d [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Total fat intake, g/d",,,,,,False,,,,, +GenR,core,G0100132,GR1032 G1-1 Which description applies most to you at the moment? (G0100132),,,1.0.0,,categorical,,,,,Indicates occupational status of the mother,,,,,,False,,,,, +GenR,core,G0100232,GR1032 G1-2 Which description applies most to your partner at the moment? (G0100232),,,1.0.0,,categorical,,,,,Indicates occupational status of the father,,,,,,False,,,,, +GenR,core,G0900132,GR1032 G9-1 Do you have a partner at the moment? (G0900132),,,1.0.0,,categorical,,,,,This indicates whether mothers had a partner around the age of 2 years of the child,,,,,,False,,,,, +GenR,core,G1000132,"GR1032 G10-1 Is your child cared for, on anything like a regular basis, by someone other than you or your partner? (G1000132)",,,1.0.0,,categorical,,,,,Indicates whether the child is in any form of childcare,,,,,,False,,,,, +GenR,core,G1100132,GR1032 G11-1 How many hours per week is your child cared for By a baby-sitter in your home (G1100132),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a babysitter at home (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,G1100232,GR1032 G11-2 How many hours per week is your child cared for By an au pair in your home (G1100232),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by an au pair at home (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,G1100332,GR1032 G11-3 How many hours per week is your child cared for By a childminder (G1100332),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a professional child minder (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,G1100432,"GR1032 G11-4 How many hours per week is your child cared for By family, neighbours or friends (G1100432)",,,1.0.0,,categorical,,,,,"Indicates whether the child is cared for by friend, family or relatives (if a positive answer is given on the question whether someone takes care of the child on a regular basis)",,,,,,False,,,,, +GenR,core,G1100532,GR1032 G11-5 How many hours per week is your child cared for In a crèche or day nursery (G1100532),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a creche or child day care (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,G1100632,GR1032 G11-6 How many hours per week is your child cared for At a playgroup (G1100632),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for at a playgroup (kindergarden) (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,G2GA,visit 18-25 weeks,,,1.0.0,,continuous,week,,,,Gestational age at visit,,,,,,False,,,,, +GenR,core,G2SBP,sbp mother gestage 2,,,1.0.0,,continuous,mmHg,,,,sbp mother gestage 2,,,,,,False,,,,, +GenR,core,G3DBP,dbp mother gestage 3,,,1.0.0,,continuous,mmHg,,,,dbp mother gestage 3,,,,,,False,,,,, +GenR,core,G3GA,visit >25 weeks,,,1.0.0,,continuous,week,,,,Indicates how many weeks of gestation the mother had when the weight was measured,,,,,,False,,,,, +GenR,core,G3SBP,sbp mother gestage 3,,,1.0.0,,continuous,mmHg,,,,sbp mother gestage 3,,,,,,False,,,,, +GenR,core,G3WEIGHT,weight mother gestage 3,,,1.0.0,,continuous,kg,,,,weight mother measured during the 3rd prenatal visit (>25 weeks),,,,,,False,,,,, +GenR,core,GBLMAM_C,"missing, but is ""Birth country mother of mother update after focus@5""",,,1.0.0,,categorical,,,,,This indicates the birth country of grandmothers of mothers side,,,,,,False,,,,, +GenR,core,GBLMAM_CLEAN,Birth country mother of mother update after focus@5,,,1.0.0,,categorical,,,,,This indicates the birth country of grandmothers of mothers side; cleaned variable with less categories,,,,,,False,,,,, +GenR,core,GBLMAV_C,"missing, but is ""country of birth mother of father according to GR-1001 plus GR1075""",,,1.0.0,,categorical,,,,,This indicates the birth country of grandmothers of fathers side,,,,,,False,,,,, +GenR,core,GBLMAV_CLEAN,country of birth mother of father according to GR-1001 plus GR1075,,,1.0.0,,categorical,,,,,This indicates the birth country of grandmothers of fathers side; cleaned variable with less categories,,,,,,False,,,,, +GenR,core,GBLMOE_C,"missing, but is ""Birth country mother at enrolment update after focus@5""",,,1.0.0,,categorical,,,,,This indicates the birth country of mothers,,,,,,False,,,,, +GenR,core,GBLPAM_C,"missing, but is ""Birth country of father of mother update after focus@5""",,,1.0.0,,categorical,,,,,This indicated the birth country of grandfathers of mothers side,,,,,,False,,,,, +GenR,core,GBLPAM_CLEAN,Birth country of father of mother update after focus@5,,,1.0.0,,categorical,,,,,This indicated the birth country of grandfathers of mothers side; cleaned variable with less categories,,,,,,False,,,,, +GenR,core,GBLPAV_C,"missing, but is ""country of birth father of father according to GR-1001""",,,1.0.0,,categorical,,,,,This indicated the birth country of grandfathers of fathers side,,,,,,False,,,,, +GenR,core,GBLPAV_CLEAN,country of birth father of father according to GR-1001,,,1.0.0,,categorical,,,,,This indicated the birth country of grandfathers of fathers side; cleaned variable with less categories,,,,,,False,,,,, +GenR,core,GBLVAD_C,"missing, but is""Birth country father update after focus@5""",,,1.0.0,,categorical,,,,,This indicates the birth country of father,,,,,,False,,,,, +GenR,core,H0300325,GR1025 H3-3 How many hours a week is your child cared for by a host parent? (H0300325),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a host parent (professional child minder)(if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,H0300328,GR1028 H3-3 How may hours a week is your child looked after by a host parent? (H0300328),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a host parent (professional child minder) (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,GestageSerumG1,Gestage Mother serum early pregnancy,,,1.0.0,,continuous,week,,,,Gestage Mother serum early pregnancy,,,,,,False,,,,, +GenR,core,GlucoseChild9_clean,Glucose serum Child 9 years cleaned,,,1.0.0,,continuous,mmol/litre,,,,Glucose from serum measured at research clinics,,,,,,False,,,,, +GenR,core,GlucoseG1,Glucose mmol/L Mother serum early Pregancy,,,1.0.0,,continuous,mmol/litre,,,,Glucose mmol/L Mother serum early Pregancy,,,,,,False,,,,, +GenR,core,H0100125,GR1025 H1-1 Is your child taken care of on a regular basis by a person besides yourself or your partner? (H0100125),,,1.0.0,,categorical,,,,,Indicates whether the child is in any form of childcare,,,,,,False,,,,, +GenR,core,HIP24M,AntroHipAccess at 24 months,,,1.0.0,,continuous,cm,,,,AntroHipAccess at 24 months,,,,,,False,,,,, +GenR,core,H0100128,GR1028 H1-1 Is your child looked after by somebody other than your partner with any degree of regularity? (H0100128),,,1.0.0,,categorical,,,,,Indicates whether the child is in any form of childcare,,,,,,False,,,,, +GenR,core,SYS_P,sbp partner during pregancy,,,1.0.0,,continuous,mmHg,,,,sbp partner during pregancy,,,,,,False,,,,, +GenR,core,H0200125,GR1025 H2-1 How old was your child when you started this type of child care? (H0200125),,,1.0.0,,categorical,,,,,Indicates how old the child was when child care was started (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,p07_01_01,BEEF,,,1.0.0,,continuous,gram_per_day,,,,Intake of beef,,,,,,False,,,,, +GenR,core,FEF50_9y,Maximum Expiratory Flow at 50% of Vital Capacity (FEF50) age 9 years,,,1.0.0,,continuous,,,,,Forced Expiratory Flow after exhaling 50% of FVC (L/s),,,,,,False,,,,, +GenR,core,FEF75,Forced Expiratory Flow after exhaling 75% of FVC (L/s),,,1.0.0,,continuous,,,,,Forced Expiratory Flow after exhaling 75% of FVC (L/s),,,,,,False,,,,, +GenR,core,FENO5YR,FeNO in ppb,,,1.0.0,,continuous,parts_per_billion,,,,FeNO in ppb,,,,,,False,,,,, +GenR,core,FEV,Forced expiratory volume,,,1.0.0,,continuous,,,,,Forced expiratory volume,,,,,,False,,,,, +GenR,core,FG60_01_Fruit_fresh,"Fresh fruit intake, g/d [01/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Fresh fruit intake, g/d",,,,,,False,,,,, +GenR,core,FG60_02_Vegetables_cooked,"Cooked vegetables intake, g/d [02/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Cooked vegetables intake, g/d",,,,,,False,,,,, +GenR,core,FG60_03_Vegetables_raw,"Raw vegetables intake, g/d [03/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Raw vegetables intake, g/d",,,,,,False,,,,, +GenR,core,FG60_04_Bread_whole,"Bread, brown/whole grain intake, g/d [04/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Bread, brown/whole grain intake, g/d",,,,,,False,,,,, +GenR,core,FG60_05_Bread_white,"Bread, white intake, g/d [05/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Bread, white intake, g/d",,,,,,False,,,,, +GenR,core,FG60_06_Grainproducts_whole,"Grain products, brown whole grain intake, g/d [06/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Grain products, brown whole grain intake, g/d",,,,,,False,,,,, +GenR,core,FG60_07_Grainproducts_white,"Grain products, white intake, g/d [07/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Grain products, white intake, g/d",,,,,,False,,,,, +GenR,core,FG60_08_Fish_breaded,"Breaded fish products intake, g/d [08/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Breaded fish products intake, g/d",,,,,,False,,,,, +GenR,core,FG60_09_Cereals_white_sugar,"Breakfast cereals, white and/or added sugar intake, g/d [09/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Breakfast cereals, white and/or added sugar intake, g/d",,,,,,False,,,,, +GenR,core,FG60_10_Fish_fat,"Fatty fish (>10% fat) intake, g/d [10/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Fatty fish (>10% fat) intake, g/d",,,,,,False,,,,, +GenR,core,FG60_11_Shellfish,"Shellfish intake, g/d [11/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Shellfish intake, g/d",,,,,,False,,,,, +GenR,core,FG60_12_Fish_lowfat,"Lean fish (<2% fat) intake, g/d [12/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Lean fish (<2% fat) intake, g/d",,,,,,False,,,,, +GenR,core,FG60_13_Fish_modfat,"Fish, moderately fat (2-10%) intake, g/d [13/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Fish, moderately fat (2-10%) intake, g/d",,,,,,False,,,,, +GenR,core,p07_05,orgaanvlees,,,1.0.0,,continuous,gram_per_day,,,,Intake of organmeat,,,,,,False,,,,, +GenR,core,FG60_14_Fish_fat_canned,"Canned fatty fish intake, g/d [14/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Canned fatty fish intake, g/d [14/FG60] [FFQ 8y]",,,,,,False,,,,, +GenR,core,FG60_15_Meat_red_unprocessed_lowfat,"Red meat, unprocessed, low-fat (≤5% SFA) intake, g/d [15/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Red meat, unprocessed, low-fat (≤5% SFA) intake, g/d",,,,,,False,,,,, +GenR,core,FG60_16_Meat_red_processed,"Red meat, processed intake, g/d [16/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Red meat, processed intake, g/d",,,,,,False,,,,, +GenR,core,FG60_17_Meat_white_processed,"White meat, processed intake, g/d [17/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"White meat, processed intake, g/d",,,,,,False,,,,, +GenR,core,FG60_18_Meat_white_unprocessed_lowfat,"White meat, unprocessed, low-fat (≤5% SFA) intake, g/d [18/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"White meat, unprocessed, low-fat (≤5% SFA) intake, g/d",,,,,,False,,,,, +GenR,core,FG60_19_Meatreplacing_products,"Meat replacing products intake, g/d [19/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Meat replacing products intake, g/d",,,,,,False,,,,, +GenR,core,FG60_20_Pulses_canned,"Pulses, canned intake, g/d [20/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Pulses, canned intake, g/d",,,,,,False,,,,, +GenR,core,FG60_21_Nuts_unsalted,"Nuts, unsalted intake, g/d [21/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Nuts, unsalted intake, g/d",,,,,,False,,,,, +GenR,core,FG60_22_Peanuts_peanutbutter,"Peanuts, peanut butter intake, g/d [22/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Peanuts, peanut butter intake, g/d",,,,,,False,,,,, +GenR,core,FG60_24_Milk_lowfat,"Skimmed or semi skimmed milk, buttermilk, no added sugar intake, g/d [24/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Skimmed or semi skimmed milk, buttermilk, no added sugar intake, g/d",,,,,,False,,,,, +GenR,core,FG60_25_Yogurt_lowfat,"Skimmed or semi-skimmed yoghurt or quark, no added sugar intake, g/d [25/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Skimmed or semi-skimmed yoghurt or quark, no added sugar intake, g/d",,,,,,False,,,,, +GenR,core,GENDER,Gender live birth corrected 10-12-2014,,,1.0.0,,categorical,,,,,Gender of the child,,,,,,False,,,,, +GenR,core,GESTBIR,Gestational age at birth,,,1.0.0,,continuous,week,,,,Indicates how many weeks of gestation the mother had when the child was born,,,,,,False,,,,, +GenR,core,GESTINT,gestational age at intake,,,1.0.0,,continuous,week,,,,Indicates how many weeks of gestation the mother had when enrolled in the study,,,,,,False,,,,, +GenR,core,GEST_HB,GEST_HB,,,1.0.0,,continuous,mmol/litre,,,,GEST_HB,,,,,,False,,,,, +GenR,core,GEST_HM,GEST_HM,,,1.0.0,,continuous,mmol/litre,,,,GEST_HM,,,,,,False,,,,, +GenR,core,GR1080,Indicates whether the 8y FFQ was sent/received,,,1.0.0,,categorical,,,,,Indicates whether the 8y FFQ was sent/received,,,,,,False,,,,, +GenR,core,G_M24M,geheel magere massa,,,1.0.0,,continuous,gram,,,,Total body lean mass measured with DXA,,,,,,False,,,,, +GenR,core,G_M6M,geheel magere massa,,,1.0.0,,continuous,gram,,,,Total body lean mass measured with DXA,,,,,,False,,,,, +GenR,core,G_V24M,geheel vetmassa,,,1.0.0,,continuous,gram,,,,Total body fat mass measured with DXA,,,,,,False,,,,, +GenR,core,G_V6M,geheel vetmassa,,,1.0.0,,continuous,gram,,,,Total body fat mass measured with DXA,,,,,,False,,,,, +GenR,core,GestagePlasmaG1,Gestage blood,,,1.0.0,,continuous,week,,,,Gestage blood,,,,,,False,,,,, +GenR,core,FG60_26_Milk_fullfat,"Full-fat milk intake, g/d [26/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Full-fat milk intake, g/d",,,,,,False,,,,, +GenR,core,FG60_27_Yoghurt_fullfat,"Full-fat yoghurt or quark intake, g/d [27/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Full-fat yoghurt or quark intake, g/d",,,,,,False,,,,, +GenR,core,FG60_28_Milk_beverages_sugar,"Milk-based beverages with added sugar intake, g/d [28/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Milk-based beverages with added sugar intake, g/d",,,,,,False,,,,, +GenR,core,FG60_29_Yogurt_sugar,"Yoghurt or quark with added sugar intake, g/d [29/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Yoghurt or quark with added sugar intake, g/d",,,,,,False,,,,, +GenR,core,FG60_30_Cheese_lowfat,"Low-fat cheese (≤30+) intake, g/d [30/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Low-fat cheese (≤30+) intake, g/d",,,,,,False,,,,, +GenR,core,FG60_31_Cheese_fullfat,"Full-fat cheese (> 30+) intake, g/d [31/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Full-fat cheese (> 30+) intake, g/d",,,,,,False,,,,, +GenR,core,FG60_32_Dairy_desserts,"Dairy based desserts (incl ice-cream) intake, g/d [32/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Dairy based desserts (incl ice-cream) intake, g/d",,,,,,False,,,,, +GenR,core,FG60_33_Soymilks,"Soy milk/ soy dessert intake, g/d [33/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Soy milk/ soy dessert intake, g/d",,,,,,False,,,,, +GenR,core,FG60_34_Porridge,"Porridge intake, g/d [34/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Porridge intake, g/d",,,,,,False,,,,, +GenR,core,FG60_38_Lemonadeconcentrate_sugar,"Lemonade concentrate and fruit juice concentrates with sugar intake, g/d [38/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Lemonade concentrate and fruit juice concentrate intake, g/d",,,,,,False,,,,, +GenR,core,FG60_39_Soda_soft_drinks,"Soda, soft drinks intake, g/d [39/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Soda, soft drinks intake, g/d",,,,,,False,,,,, +GenR,core,FG60_40_Eggs,"Eggs intake, g/d [40/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Eggs intake, g/d",,,,,,False,,,,, +GenR,core,FG60_41_Sweetsnacks,"Sweets, sweet snacks, and cookies intake, g/d [41/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Sweets, sweet snacks, and cookies intake, g/d",,,,,,False,,,,, +GenR,core,age_CB04m,Age child 4 months,,,1.0.0,,continuous,month,,,,Age child 4 months,,,,,,False,,,,, +GenR,core,FG60_42_Savorysnacks,"Savory snacks, excl potato crisp intake, g/d [42/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Savory snacks, excl potato crisp intake, g/d",,,,,,False,,,,, +GenR,core,FG60_43_Potatoes,"Potatoes (boiled, fried, but excl crips and french fries) intake, g/d [43/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Potatoes intake, g/d",,,,,,False,,,,, +GenR,core,H0200128,GR1028 H2-1 How old was your child when you first started to make use of this type of care? (H0200128),,,1.0.0,,categorical,,,,,Indicates how old the child was when child care was started (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,H0300125,GR1025 H3-1 How many hours a week is your child cared for by a child minder at your home? (H0300125),,,1.0.0,,categorical,,,,,"Indicates whether the child is cared for by a babysitter at home (Dutch: oppas, translation in label not correct) (if a positive answer is given on the question whether someone takes care of the child on a regular basis)",,,,,,False,,,,, +GenR,core,H0300128,GR1028 H3-1 How may hours a week is your child looked after by a babysitter in your home? (H0300128),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a babysitter at home (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,Ppro_gm6,Fractional Rank Percent of pro_gm6,,,1.0.0,,continuous,,,,,Percentile score gross motor at 6 months,,,,,,False,,,,, +GenR,core,age_CB35t44m,Age child 35-44 months,,,1.0.0,,continuous,month,,,,Age child 35-44 months,,,,,,False,,,,, +GenR,core,age_CB44t56m,Age child 44-56 months,,,1.0.0,,continuous,month,,,,Age child 44-56 months,,,,,,False,,,,, +GenR,core,age_GR1025_years,Age of the child in years questionnaire 1025,,,1.0.0,,continuous,year,,,,exact child age at time of filling out the questionnaire,,,,,,False,,,,, +GenR,core,age_GR1028_years,Age of the child in years questionnaire 1028,,,1.0.0,,continuous,year,,,,exact child age at time of filling out the questionnaire,,,,,,False,,,,, +GenR,core,age_GR1029_years,Age of the child in years questionnaire 1029,,,1.0.0,,continuous,year,,,,age at time of filling out the questionaire (cbcl 18 months),,,,,,False,,,,, +GenR,core,age_GR1032_years,Age of the child in years questionnaire 1032,,,1.0.0,,continuous,year,,,,exact child age at time of filling out the questionnaire,,,,,,False,,,,, +GenR,core,age_GR1065,age child at time of filling in GR1065,,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,,,False,,,,, +GenR,core,age_GR1065_years,Age of the child in years questionnaire 1065,,,1.0.0,,continuous,year,,,,age at time of filling out the questionaire (cbcl 36 months),,,,,,False,,,,, +GenR,core,agechild9_visit1,Age child visit 1 (years),,,1.0.0,,continuous,year,,,,Age during the visit @9,,,,,,False,,,,, +GenR,core,agechild9m,agechild9m,,,1.0.0,,continuous,month,,,,Age Child at 9 years (years),,,,,,False,,,,, +GenR,core,agechildGR1076,Age child GR1076 (5 years part 2),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,,,False,,,,, +GenR,core,agechild_GR1075,Age child GR1075 (5 years part 1),,,1.0.0,,continuous,month,,,,Indicates age of the child in months at time of filling in the questionnaire,,,,,,False,,,,, +GenR,core,agechild_GR1080,Age at FFQ,,,1.0.0,,continuous,year,,,,Age at FFQ (years),,,,,,False,,,,, +GenR,core,agechildd,Age child parent died (logistic system 27092018),,,1.0.0,,continuous,year,,,,child's age at death parent according to the logistical tracking system used for contacting participants,,,,,,False,,,,, +GenR,core,agem5child,Age Child Focus at 5 years (months),,,1.0.0,,continuous,month,,,,Age child at 5-year follow-up,,,,,,False,,,,, +GenR,core,agemother_birthchild,Age mother at birth child (livebirth),,,1.0.0,,continuous,year,,,,"This indicates maternal age at birth, calculated based on her birth date and the child's birthdate",,,,,,False,,,,, +GenR,core,agey5child,Age Child Focus at 5 years (years),,,1.0.0,,continuous,year,,,,Age Child at 5 years (years),,,,,,False,,,,, +GenR,core,ai_ADHD,avarage items score of ADHD in conners scale,,,1.0.0,,continuous,,,,,avarage items score of ADHD in conners scale,,,,,,False,,,,, +GenR,core,ai_fm12,average item score fine motor of Infant/Child Development Inventory measured at 12 months,,,1.0.0,,continuous,,,,,Average item score fine motor at 12 months,,,,,,False,,,,, +GenR,core,ai_fm18,average item score fine motor of Child Development Inventory measured at 18 months,,,1.0.0,,continuous,,,,,Average item score fine motor at 18 months,,,,,,False,,,,, +GenR,core,ai_fm24,average item score fine motor of Child Development Inventory measured at 24 months,,,1.0.0,,continuous,,,,,Average item score fine motor at 24 months,,,,,,False,,,,, +GenR,core,cbcl_int,raw internalizing sumscore scale complete,,,1.0.0,,continuous,,,,,Sumscore of internalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,ai_fm6,average item score fine motor of Infant/Child Development Inventory measured at 6 months,,,1.0.0,,continuous,,,,,Average item score fine motor at 6 months,,,,,,False,,,,, +GenR,core,ai_gm12,average item score gross motor of Infant/Child Development Inventory measured at 12 months,,,1.0.0,,continuous,,,,,Average item score gross motor at 12 months,,,,,,False,,,,, +GenR,core,anx_M108_m,Anxiety Mother 108 Months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,SUPRA24M,SkinSuprailiacaal at 24 months,,,1.0.0,,continuous,mm,,,,SkinSuprailiacaal at 24 months,,,,,,False,,,,, +GenR,core,SUPRA6M,SkinSuprailiacaal at 6 months,,,1.0.0,,continuous,mm,,,,SkinSuprailiacaal at 6 months,,,,,,False,,,,, +GenR,core,SUPRA6W,SkinSuprailiacaal at 6 weeks,,,1.0.0,,continuous,mm,,,,SkinSuprailiacaal at 6 weeks,,,,,,False,,,,, +GenR,core,SYS1_24months,BloodPressureSystole1 at 24 months,,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured at reseach clinics,,,,,,False,,,,, +GenR,core,SYS2_24months,BloodPressureSystole2 at 24 months,,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured at reseach clinics,,,,,,False,,,,, +GenR,core,Saturated_fat_g,"Saturated fat intake, in energy percent [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Saturated fat intake, in energy percent",,,,,,False,,,,, +GenR,core,Sys1_5child,F@5 BLOODPRESSURE – child: 1st Systole (mmHg) (Sys1_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,Sys2_5child,F@5 BLOODPRESSURE – child: 2nd Systole (mmHg) (Sys2_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,ai_gm18,average item score gross motor of Child Development Inventory measured at 18 months,,,1.0.0,,continuous,,,,,Average item score gross motor at 18 months,,,,,,False,,,,, +GenR,core,ai_gm24,average item score gross motor of Child Development Inventory measured at 24 months,,,1.0.0,,continuous,,,,,Average item score gross motor at 24 months,,,,,,False,,,,, +GenR,core,ai_gm6,average item score gross motor of Infant/Child Development Inventory measured at 6 months,,,1.0.0,,continuous,,,,,Average item score gross motor at 6 months,,,,,,False,,,,, +GenR,core,alc0,alcohol consumption during pregnancy,,,1.0.0,,categorical,,,,,Indicates whether the participant druk alcohol during pregnancy,,,,,,False,,,,, +GenR,core,alc1,alcohol 1st trimester complete - recategorized,,,1.0.0,,categorical,,,,,"Indicates how many glassess of alcohol a participant drunk (first trimester, recategorized)",,,,,,False,,,,, +GenR,core,alc1_original,alcohol 1st trimester complete,,,1.0.0,,categorical,,,,,Indicates how many glassess of alcohol a participant drunk (first trimester),,,,,,False,,,,, +GenR,core,alc2,alcohol 2nd trimester complete - recategorized,,,1.0.0,,categorical,,,,,"Indicates how many glassess of alcohol a participant drunk (second trimester, recategorized)",,,,,,False,,,,, +GenR,core,alc2_original,alcohol 2nd trimester complete,,,1.0.0,,categorical,,,,,Indicates how many glassess of alcohol a participant drunk (second trimester),,,,,,False,,,,, +GenR,core,alc3,alcohol 3rd trimester complete - recategorized,,,1.0.0,,categorical,,,,,"Indicates how many glassess of alcohol a participant drunk (third trimester, recategorized)",,,,,,False,,,,, +GenR,core,alc3_original,alcohol 3rd trimester complete,,,1.0.0,,categorical,,,,,Indicates how many glassess of alcohol a participant drunk (third trimester),,,,,,False,,,,, +GenR,core,all_birch,"allergic sensitization to birch, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,,,False,,,,, +GenR,core,all_cashew,"allergic sensitization to cashew nut, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,,,False,,,,, +GenR,core,all_cat,"allergic sensitization to cat, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,,,False,,,,, +GenR,core,all_dog,"allergic sensitization to dog, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,,,False,,,,, +GenR,core,all_food,"food allergic sensitization (SPT), y/n",,,1.0.0,,categorical,,,,,"food allergic sensitization (peanut, hazelnut, cashew nut, peach) as measured by SPT",,,,,,False,,,,, +GenR,core,all_grass,"allergic sensitization to grass, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,,,False,,,,, +GenR,core,all_hazel,"allergic sensitization to hazelnut, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,,,False,,,,, +GenR,core,all_hdm,"allergic sensitization to house dust mite (HDM), y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,,,False,,,,, +GenR,core,all_inhalant,"inhalant allergic sensitization (SPT), y/n",,,1.0.0,,categorical,,,,,"inhalant allergic sensitization (house dust mite, birch, grass, cat, dog) as measured by SPT",,,,,,False,,,,, +GenR,core,all_peach,"allergic sensitization to peach, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,,,False,,,,, +GenR,core,p06,CEREALS AND CEREAL PRODUCTS,,,1.0.0,,continuous,gram_per_day,,,,Intake of cereals and cereal products,,,,,,False,,,,, +GenR,core,all_peanut,"allergic sensitization to peanut, y/n",,,1.0.0,,categorical,,,,,"Skin response was considered positive if the area of the wheal was ≥40% of the histamine response (ie, histamine equivalent prick index area ≥0.40).",,,,,,False,,,,, +GenR,core,allergy9y,"Current doctor-diagnosed allergy (pollen, HDM, cats, dogs, nuts) at age 9 years, y/n",,,1.0.0,,categorical,,,,,"Allergy to pollen, housedustmite, cats, dogs, peanut or cashew diagnosed by a physician",,,,,,False,,,,, +GenR,core,anx_M108_p,Anxiety Partner 108 Months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,FG60_44_Fruit_dried,"Dried fruit (raisins) intake, g/d [44/FG60] [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Dried fruit (raisins) intake, g/d",,,,,,False,,,,, +GenR,core,Praw_nvi,Fractional Rank Percent of raw_nvi,,,1.0.0,,continuous,,,,,Mosaics and Categories of SON-R IQ score,,,,,,False,,,,, +GenR,core,Protein_total_Epct,"Total protein intake, in energy percent [FFQ 8y]",,,1.0.0,,continuous,percent,,,,"Total protein intake, in energy percent",,,,,,False,,,,, +GenR,core,Protein_total_g,"Total protein intake, g/d [FFQ 8y]",,,1.0.0,,continuous,gram_per_day,,,,"Total protein intake, g/d",,,,,,False,,,,, +GenR,core,Psum_ADH,Fractional Rank Percent of sum_ADHD,,,1.0.0,,continuous,,,,,Percentile scores of sumscore of Conners,,,,,,False,,,,, +GenR,core,Psum_ext,Fractional Rank Percent of sum_ext,,,1.0.0,,continuous,,,,,Percentile scores of subscale externalizing problems,,,,,,False,,,,, +GenR,core,Psum_ext_36,Fractional Rank Percent of sum_ext_36m,,,1.0.0,,continuous,,,,,Percentile scores of subscale externalizing problems,,,,,,False,,,,, +GenR,core,Psum_ext_5,Fractional Rank Percent of sum_ext_5,,,1.0.0,,continuous,,,,,Percentile scores of subscale externalizing problems,,,,,,False,,,,, +GenR,core,Psum_ext_9m,Fractional Rank Percent of sum_ext_9m,,,1.0.0,,continuous,,,,,Percentile scores of subscale externalizing problems,,,,,,False,,,,, +GenR,core,Psum_int,Fractional Rank Percent of sum_int,,,1.0.0,,continuous,,,,,Percentile scores of subscale internalizing problems,,,,,,False,,,,, +GenR,core,Psum_int_36,Fractional Rank Percent of sum_int_36m,,,1.0.0,,continuous,,,,,Percentile scores of subscale internalizing problems,,,,,,False,,,,, +GenR,core,Psum_int_9m,Fractional Rank Percent of sum_int_9m,,,1.0.0,,continuous,,,,,Percentile scores of subscale internalizing problems,,,,,,False,,,,, +GenR,core,Pulse1_5child,F@5 BLOODPRESSURE – child 1st Pulse (mean) (Pulse1_5child),,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,,,False,,,,, +GenR,core,SBP4_child9,F@9 BLOODPRESSURE - child: 4th Systole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,agechild9,agechild9,,,1.0.0,,continuous,year,,,,Age Child at 9 years (years),,,,,,False,,,,, +GenR,core,SMOKE_ALL,maternal smoking during pregnancy - all included women,,,1.0.0,,categorical,,,,,Indicates the smoking habits of the mother during the index pregnancy,,,,,,False,,,,, +GenR,core,SUB14M,SkinSubscapulair at 14 months,,,1.0.0,,continuous,mm,,,,SkinSubscapulair at 14 months,,,,,,False,,,,, +GenR,core,SUB24M,SkinSubscapulair at 24 months,,,1.0.0,,continuous,mm,,,,SkinSubscapulair at 24 months,,,,,,False,,,,, +GenR,core,SUB6M,SkinSubscapulair at 6 months,,,1.0.0,,continuous,mm,,,,SkinSubscapulair at 6 months,,,,,,False,,,,, +GenR,core,SUB6W,SkinSubscapulair at 6 weeks,,,1.0.0,,continuous,mm,,,,SkinSubscapulair at 6 weeks,,,,,,False,,,,, +GenR,core,SUPRA14M,SkinSuprailiacaal at 14 months,,,1.0.0,,continuous,mm,,,,SkinSuprailiacaal at 14 months,,,,,,False,,,,, +GenR,core,Sys4_5child,F@5 BLOODPRESSURE – child: 4th Systole (mmHg) (Sys4_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,TCholmetoutliers_1,"cholesterol mother during pregnancy including outliers, minus gekke waarden",,,1.0.0,,continuous,mmol/litre,,,,cholesterol mother during pregnancy,,,,,,False,,,,, +GenR,core,ecz1y,eczema doctor attended age1,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 12 months,,,,,,False,,,,, +GenR,core,TGCH5_C,Triglycerids Child (serum) F5 mmol/l CLEANED,,,1.0.0,,continuous,mmol/litre,,,,Triglycerides from serum measured at research clinics,,,,,,False,,,,, +GenR,core,TGmetoutliers_1,"TG mother during pregnancy including outliers, minus gekke waarden",,,1.0.0,,continuous,mmol/litre,,,,TG mother during pregnancy,,,,,,False,,,,, +GenR,core,TRIC14M,SkinTriceps at 14 months,,,1.0.0,,continuous,mm,,,,SkinTriceps at 14 months,,,,,,False,,,,, +GenR,core,TRIC24M,SkinTriceps at 24 months,,,1.0.0,,continuous,mm,,,,SkinTriceps at 24 months,,,,,,False,,,,, +GenR,core,TRIC6M,SkinTriceps at 6 months,,,1.0.0,,continuous,mm,,,,SkinTriceps at 6 months,,,,,,False,,,,, +GenR,core,Triglyceriden9_clean,Triglyceriden serum Child 9 years cleaned,,,1.0.0,,continuous,mmol/litre,,,,Triglycerides from serum measured at research clinics,,,,,,False,,,,, +GenR,core,UITDRIJF,Delivery singleton Live birth,,,1.0.0,,categorical,,,,,Indicates the mode of delivery in the index pregnancy,,,,,,False,,,,, +GenR,core,URTI_1y,upper respiratory tract infection 1 years yes/no,,,1.0.0,,categorical,,,,,"Ear or throat infection, pseudocroup or whooping cough in the past 12 months",,,,,,False,,,,, +GenR,core,URTI_2y,upper respiratory tract infection 2 years yes/no,,,1.0.0,,categorical,,,,,"Ear or throat infection, pseudocroup or whooping cough in the past 12 months",,,,,,False,,,,, +GenR,core,URTI_3y,upper respiratory tract infection 3 years yes/no,,,1.0.0,,categorical,,,,,"Ear or throat infection, pseudocroup or whooping cough in the past 12 months",,,,,,False,,,,, +GenR,core,URTI_4y,upper respiratory tract infection 4 years yes/no,,,1.0.0,,categorical,,,,,Ear or throat infection or pseudocroup in the past 12 months,,,,,,False,,,,, +GenR,core,URTI_6mo,upper respiratory tract infection 6 months yes/no,,,1.0.0,,categorical,,,,,"Ear or throat infection, pseudocroup or whooping cough in the first 6 months",,,,,,False,,,,, +GenR,core,URTI_6y,upper respiratory tract infection 6 years yes/no,,,1.0.0,,categorical,,,,,Ear or throat infection or pseudocroup in the past 12 months,,,,,,False,,,,, +GenR,core,WAIST24M,AntroWaistAccess at 24 months,,,1.0.0,,continuous,cm,,,,AntroWaistAccess at 24 months,,,,,,False,,,,, +GenR,core,WEIGHT,Weight live birth,,,1.0.0,,continuous,kg,,,,Birth weight,,,,,,False,,,,, +GenR,core,WEIGHT_0,What was your weight just before this pregnancy,,,1.0.0,,continuous,kg,,,,weight mother before pregnancy,,,,,,False,,,,, +GenR,core,X0500165,GR1065 X5-1 Do you have a partner present? (X0500165),,,1.0.0,,categorical,,,,,This indicates whether mothers had a partner around the age of XXX,,,,,,False,,,,, +GenR,core,ZFEF75,"Forced Expiratory Flow after exhaling 75% of FVC, z-score according to GLI reference criteria",,,1.0.0,,continuous,,,,,"Forced Expiratory Flow after exhaling 75% of FVC, z-score according to GLI reference criteria",,,,,,False,,,,, +GenR,core,ZFEV,"Forced Expiratotory Volume in the first second, z-score according to GLI reference criteria",,,1.0.0,,continuous,,,,,"Forced Expiratotory Volume in the first second, z-score according to GLI reference criteria",,,,,,False,,,,, +GenR,core,ZFEVFVC,"Forced Expiratotory Volume in the first second/Forced Vital Capacity, z-score according to GLI reference data",,,1.0.0,,continuous,,,,,"Forced Expiratotory Volume in the first second/Forced Vital Capacity, z-score according to GLI reference data",,,,,,False,,,,, +GenR,core,ZFVC,"Forced Vital Capacity, z-score according to GLI reference criteria",,,1.0.0,,continuous,,,,,"Forced Vital Capacity, z-score according to GLI reference criteria",,,,,,False,,,,, +GenR,core,a0400187,A0400187.1: Does the father / mother or the other carer of your child still live? F9,,,1.0.0,,categorical,,,,,parental death according to information at research visit,,,,,,False,,,,, +GenR,core,a0400287_cleaned,Who died? F9,,,1.0.0,,categorical,,,,,"Indicates who died, 1st and 2nd degree relatives and others",,,,,,False,,,,, +GenR,core,a0600104,GR1004 A6-1 diabetes (a0600104),,,1.0.0,,categorical,,,,,Indicates whether the partner was ever diagnosed with diabetes. Note: it is not know whether this is the biological father,,,,,,False,,,,, +GenR,core,a0900103,GR1003 A9-1 a period with fever_past 2 months? (a0900103),,,1.0.0,,categorical,,,,,Variable indicatetes whether the particpant had a period with fever (temp>38o) in the past 2 months.,,,,,,False,,,,, +GenR,core,a2200104,GR1004 A22-1 asthma (a2200104),,,1.0.0,,categorical,,,,,Indicates whether the partner was ever diagnosed with asthma. Note: it is not known whether this is the biological father.,,,,,,False,,,,, +GenR,core,age_GR1075_years,Age of the child in years questionnaire 1075,,,1.0.0,,continuous,year,,,,age at time of filling out the questionaire (cbcl 5 years),,,,,,False,,,,, +GenR,core,a2200204,GR1004 A22-2 treated in the past 12 months (a2200204) (Note: this label is incorrect. It should be GR1004 A22-2 was asthma confirmed by a doctor?),,,1.0.0,,categorical,,,,,Indicates whether asthma (if question on asthma is yes) was confirmed by a doctor,,,,,,False,,,,, +GenR,core,age5childmDXA,Age child DXA,,,1.0.0,,continuous,month,,,,Age in months at DXA scan at 6 years of age,,,,,,False,,,,, +GenR,core,ecz2y,eczema doc-attended age 2,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 12 months,,,,,,False,,,,, +GenR,core,ageBF_atDelivery,Age of Father at birth of the child,,,1.0.0,,continuous,year,,,,Age of Father at birth of the child,,,,,,False,,,,, +GenR,core,ageChildMF5,Age Child Focus at 5 years (months),,,1.0.0,,continuous,month,,,,Age Child Focus at 5 years (months),,,,,,False,,,,, +GenR,core,ageChildYF5,Age Child Focus at 5 years (years),,,1.0.0,,continuous,year,,,,exact child age at time of the assessment at the research center,,,,,,False,,,,, +GenR,core,age_CB02m,age_CB02m: Age child 2 months,,,1.0.0,,continuous,month,,,,Age child 2 months,,,,,,False,,,,, +GenR,core,age_CB03m,Age child 3 months,,,1.0.0,,continuous,month,,,,Age child 3 months,,,,,,False,,,,, +GenR,core,age_CB05t10m,Age child 5-10 months,,,1.0.0,,continuous,month,,,,Age child 5-10 months,,,,,,False,,,,, +GenR,core,age_CB0t2m,age_CB0t2m: Age child 0-2 months,,,1.0.0,,continuous,month,,,,Age child 0-2 months,,,,,,False,,,,, +GenR,core,age_CB10t13m,Age child 10-13 months,,,1.0.0,,continuous,month,,,,Age child 10-13 months,,,,,,False,,,,, +GenR,core,age_CB13t17m,Age child 13-17 months,,,1.0.0,,continuous,month,,,,Age child 13-17 months,,,,,,False,,,,, +GenR,core,age_CB23t29m,Age child 23-29 months,,,1.0.0,,continuous,month,,,,Age child 23-29 months,,,,,,False,,,,, +GenR,core,age_CB23t35m,Age child 23-35 months,,,1.0.0,,continuous,month,,,,Age child 23-35 months,,,,,,False,,,,, +GenR,core,p07_01_04,MUTTON/LAMB,,,1.0.0,,continuous,gram_per_day,,,,Intake of mutton/lamb,,,,,,False,,,,, +GenR,core,atdus,aterm date based on ultrasound,,,1.0.0,,continuous,,,,,Aterm date based on ultrasound,,,,,,False,,,,, +GenR,core,b0900101,GR1001 B9-1 Pregnancy diabetes_in a previous pregnancy (b0900101),,,1.0.0,,categorical,,,,,Indicates whether a participants had gestational diabetes in a prevous pregnancy.,,,,,,False,,,,, +GenR,core,b0900105,GR1005 B9-1 A period with fever (temp> 38)_past 3 months (b0900105),,,1.0.0,,categorical,,,,,Variable indicates whether the participant had a period with fever (temp>38o) in the past 3 months.,,,,,,False,,,,, +GenR,core,birthMother,Year of birth mother,,,1.0.0,,continuous,,,,,"precise date of birth mother, only available for datamanagement",,,,,,False,,,,, +GenR,core,birth_partner,Year of birth father,,,1.0.0,,continuous,,,,,"precise date of birth father, only available for datamanagement",,,,,,False,,,,, GenR,core,borstvoeding,Breastfeeding at the age of 6 months regrouped,,,1.0.0,,categorical,,,,,"Indicates if the child was exclusively breastfed/partially breastfed/not breastfed during the first 4 and 6 months. ‘Partial’ indicates infants receiving breastfeeding, -formula-feeding and/or solids. ‘Exclusive’ indicates infants who have been breastfed, without any other milk, solids or fluids.",,,,, -GenR,core,H0300228,GR1028 H3-2 How may hours a week is your child looked after by an au pair in your home? (H0300228),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by an au pair at home (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,Pulse2_5child,F@5 BLOODPRESSURE – child 2nd Pulse (mean) (Pulse2_5child),,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,, -GenR,core,Pulse3_5child,F@5 BLOODPRESSURE – child: 3rd Pulse (mean) (Pulse3_5child),,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,, -GenR,core,Pulse4_5child,F@5 BLOODPRESSURE – child: 4rd Pulse (mean) (Pulse4_5child),,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,, -GenR,core,SBP1_child9,F@9 BLOODPRESSURE - child: 1st Systole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,SBP2_child9,F@9 BLOODPRESSURE - child: 2nd Systole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,SBP3_child9,F@9 BLOODPRESSURE - child: 3rd Systole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,H0300425,"GR1025 H3-4 How many hours a week is your child cared for by family, neighbours or friends? (H0300425)",,,1.0.0,,categorical,,,,,"Indicates whether the child is cared for by friend, family or relatives (if a positive answer is given on the question whether someone takes care of the child on a regular basis)",,,,, -GenR,core,H0300428,GR1028 H3-4 How may hours a week is your child looked after by family neighbour and acquaintances? (H0300428),,,1.0.0,,categorical,,,,,"Indicates whether the child is cared for by friend, family or relatives (if a positive answer is given on the question whether someone takes care of the child on a regular basis)",,,,, -GenR,core,H0300525,GR1025 H3-5 How many hours a week is your child cared for by a crèche or child day care? (H0300525),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a creche or child day care (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,H0300528,GR1028 H3-5 How may hours a week is your child looked after by a creche or day care centre? (H0300528),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a creche or child day care (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,, -GenR,core,HB,HB,,,1.0.0,,continuous,mmol/litre,,,,HB,,,,, -GenR,core,HC5child,F@5 GROWTH - child: headcircumference (cm) (hc5child),,,1.0.0,,continuous,cm,,,,headcircumference 5 years,,,,, -GenR,core,HC_totalcm,Combined HC (cm) - Birth/CB,,,1.0.0,,continuous,cm,,,,Headcircumference at birth,,,,, -GenR,core,HDLCH5_C,HDL Child (serum) F5 mmol/l CLEANED,,,1.0.0,,continuous,mmol/litre,,,,HDL-cholesterol from serum measured at research clinics,,,,, -GenR,core,HDLCholesterolChild9_clean,HDL-Cholesterol serum Child 9 years cleaned,,,1.0.0,,continuous,mmol/litre,,,,HDL-cholesterol from serum measured at research clinics,,,,, -GenR,core,HDLmetoutliers_1,"HDL mother during pregnancy including outliers, minus gekke waarden",,,1.0.0,,continuous,mmol/litre,,,,HDL mother during pregnancy,,,,, -GenR,core,HEIGHT_1,height intake,,,1.0.0,,continuous,cm,,,,height mother for those prenatally included,,,,, -GenR,core,HIC24M,SkinBiceps at 24 months,,,1.0.0,,continuous,mm,,,,SkinBiceps at 24 months,,,,, -GenR,core,HOS_M6,Hostility mother 6months 1024,,,1.0.0,,continuous,,,,,"At 6 months, an abbreviated version of the BSI was assesed in mothers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,INCOME,Netto income household,,,1.0.0,,categorical,,,,,This indicates the net household income measured in the prenatal period,,,,, -GenR,core,INCOME2,Indication of the net income of your household postnatal included,,,1.0.0,,categorical,,,,,This indicated the net household income measured in the early postnatal period in those mothers who were included in the study after birth of their child,,,,, -GenR,core,INCOME5,"GR1075 B19 What is the net income of your household per month (your income plus that of your partner, if any).",,,1.0.0,,categorical,,,,,This indicates the net household income measured in childhood (child age around 5 years),,,,, -GenR,core,INSUCH5_C,Insuline Child (serum) F5 pmol/l CLEANED (pmol/l),,,1.0.0,,continuous,,,,,Insulin from serum measured at research clinics,,,,, -GenR,core,I_S_M6,Interpersonal Sensitivity mother 6months 1024,,,1.0.0,,continuous,,,,,"At 6 months, an abbreviated version of the BSI was assesed in mothers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,InsulinG1,Insulin pmol/L Mother serum early Pregancy (pmol/l),,,1.0.0,,continuous,,,,,Insulin pmol/L Mother serum early Pregancy (pmol/l),,,,, -GenR,core,InsulineChild9_clean,Insuline serum Child 9 years cleaned (pmol/l),,,1.0.0,,continuous,,,,,Insulin from serum measured at research clinics,,,,, -GenR,core,LDLCH5_C,LDL Child (serum) F5 mmol/l CLEANED,,,1.0.0,,continuous,mmol/litre,,,,LDL-cholesterol from serum measured at research clinics,,,,, -GenR,core,LDLmetoutliers_1,"LDL mother during pregnancy including outliers, minus gekke waarden",,,1.0.0,,continuous,mmol/litre,,,,LDL mother during pregnancy,,,,, -GenR,core,LENGTH_totalcm,Combined Length (cm) - Birth/CB,,,1.0.0,,continuous,cm,,,,Length at birth,,,,, -GenR,core,LRTI_1y,lower respiratory tract infection 1 years yes/no,,,1.0.0,,categorical,,,,,bronchiolitis,,,,, -GenR,core,LRTI_2y,lower respiratory tract infection 2 years yes/no,,,1.0.0,,categorical,,,,,"pneumonia, bronchitis, bronchiolitis",,,,, -GenR,core,LRTI_3y,lower respiratory tract infection 3 years yes/no,,,1.0.0,,categorical,,,,,"pneumonia, bronchitis",,,,, -GenR,core,LRTI_4y,lower respiratory tract infection 4 years yes/no,,,1.0.0,,categorical,,,,,"pneumonia, bronchitis",,,,, -GenR,core,p09,eieren,,,1.0.0,,continuous,gram_per_day,,,,Intake of eggs,,,,, -GenR,core,LRTI_6mo,lower respiratory tract infection 6 months yes/no,,,1.0.0,,categorical,,,,,"pneumonia, bronchitis, bronchiolitis",,,,, -GenR,core,LRTI_6y,lower respiratory tract infection 6 years yes/no,,,1.0.0,,categorical,,,,,"pneumonia, bronchitis",,,,, -GenR,core,MARDICH,marital status 2 groups,,,1.0.0,,categorical,,,,,Marital status,,,,, -GenR,core,MAR_DICH5,marital status dichotomous based on 5/6 year questionnaire (MAR_DICH5),,,1.0.0,,categorical,,,,,This indicates marital status at the assessment around at age 5 years of the child,,,,, -GenR,core,MAR_ST2,marital status 3 groups,,,1.0.0,,categorical,,,,,This indicates marital status in three groups in the prenatal period,,,,, -GenR,core,MAXWEIGHT,highest weight mother before the birth,,,1.0.0,,continuous,kg,,,,highest weight mother before the birth,,,,, -GenR,core,OUTCOMECHILD,outcome birth - child,,,1.0.0,,categorical,,,,,Indicates the child´s condition at delivery,,,,, -GenR,core,OUTCOMEPREG,outcome pregnancy,,,1.0.0,,categorical,,,,,outcome of the pregnancy,,,,, -GenR,core,P04_01,fruit,,,1.0.0,,continuous,gram_per_day,,,,Intake of fruits,,,,, -GenR,core,PARITY,parity,,,1.0.0,,continuous,,,,,Indicates the womens parity,,,,, -GenR,core,PA_BEF_AFTER_GENR,PA_BEF_AFTER_GENR: Final variable for solutio,,,1.0.0,,categorical,,,,,"Indicates whether the mother had placental abruption before, during or after the index pregnancy",,,,, -GenR,core,PE,PE - definition Sarah Timmermans,,,1.0.0,,categorical,,,,,Indicates whether the participant had pre-eclampsia or HELLP. Criteria pre-eclampsia: SBP ≥140 mmHg and/or DBP ≥90 mmHg after 20 weeks of gestation in a previously normotensive women plus the presence of proteinuria. Participants with gestational hypertention are set to missing.,,,,, -GenR,core,p05,DAIRY PRODUCTS,,,1.0.0,,continuous,gram_per_day,,,,Intake of dairy products,,,,, -GenR,core,PIH_v2,Pregnancy Induced Hypertension (positive PE_total excluded),,,1.0.0,,categorical,,,,,Indicates whteher the participant had gestational hypertension. Criteria: SBP ≥140 mmHg and/or DBP ≥90 mmHg after 20 weeks of gestation in a previously normotensive women. Participants with pre-eclampsia or HELPP are set to missing.,,,,, -GenR,core,PLAWGHT,PLAWGHT zonder outliers,,,1.0.0,,continuous,gram,,,,Placenta weight,,,,, -GenR,core,PULSE1_child9,F@9 BLOODPRESSURE - child: 1st Pulse,,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,, -GenR,core,PULSE2_child9,F@9 BLOODPRESSURE - child: 2nd Pulse,,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,, -GenR,core,PULSE3_child9,F@9 BLOODPRESSURE - child: 3rd Pulse,,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,, -GenR,core,PULSE4_child9,F@9 BLOODPRESSURE - child: 4th Pulse,,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,, -GenR,core,Ppro_ASD,Fractional Rank Percent of pro_ASD,,,1.0.0,,continuous,,,,,Percentile score of subscale ASD,,,,, -GenR,core,Ppro_fm12,Fractional Rank Percent of pro_fm12,,,1.0.0,,continuous,,,,,Percentile score fine motor at 12 months,,,,, -GenR,core,Ppro_fm18,Fractional Rank Percent of pro_fm18,,,1.0.0,,continuous,,,,,Percentile score fine motor at 18 months,,,,, -GenR,core,Ppro_fm24,Fractional Rank Percent of pro_fm24,,,1.0.0,,continuous,,,,,Percentile score fine motor at 24 months,,,,, -GenR,core,Ppro_fm6,Fractional Rank Percent of pro_fm6,,,1.0.0,,continuous,,,,,Percentile score fine motor at 6 months,,,,, -GenR,core,Ppro_gm12,Fractional Rank Percent of pro_gm12,,,1.0.0,,continuous,,,,,Percentile score gross motor at 12 months,,,,, -GenR,core,Ppro_gm18,Fractional Rank Percent of pro_gm18,,,1.0.0,,continuous,,,,,Percentile score gross motor at 18 months,,,,, -GenR,core,Ppro_gm24,Fractional Rank Percent of pro_gm24,,,1.0.0,,continuous,,,,,Percentile score gross motor at 24 months,,,,, -GenR,core,rashloc_5y,"Itchy rash on inner elbows, back of knees, upper side of ankles, nappy area, neck or around eyes/ears",,,1.0.0,,categorical,,,,,"On what areas did this itchy rash appear? (inner elbow, back of the knee, upper side of the ankles, in the nappy area, on the neck, round the eyes or ears)",,,,, -GenR,core,anx_M36_m,Anxiety Mother 36 Months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,anx_M36_p,Anxiety Partner 36 Months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,as_ever5y,Ever physician diagnosed asthma at age 5 years,,,1.0.0,,categorical,,,,,Ever physician diagnosed asthma at age 5 years,,,,, -GenR,core,as_ever9y,Ever physician diagnosed asthma at age 9 years,,,1.0.0,,categorical,,,,,Ever physician diagnosed asthma at age 9 years,,,,, -GenR,core,dep_M36_p,Depression Partner 36 Months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,dog,"dog prenatal no, yes",,,1.0.0,,categorical,,,,,Dog in the home during pregnancy,,,,, -GenR,core,familysize_adultsGR1065,Familysize of adults only based on GR1065,,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,, -GenR,core,e0100103,GR1003 E1-1 ever tried to loose weight_may you have suffered from anorexia? (e0100103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from anorexia using a vignette,,,,, -GenR,core,e0100203,GR1003 E1-2 have you suffered from anorexia in the past year? (e0100203),,,1.0.0,,categorical,,,,,This indicates wether pregnant women suffered from anorexia in the past year using a vignette,,,,, -GenR,core,e0200103,GR1003 E2-1 have you ever suffered from bulimia? (e0200103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from bulimia using a vignette,,,,, -GenR,core,e0200203,GR1003 E2-2 have you suffered from bulimia in the past year? (e0200203),,,1.0.0,,categorical,,,,,This indicates wether pregnant women suffered from bulimia in the past year using a vignette,,,,, -GenR,core,e0300104,GR1004 E3-1 best description income (e0300104),,,1.0.0,,categorical,,,,,Indicates occupational status of the father,,,,, -GenR,core,ec_ever9y,"Ever doctor-diagnosed eczema at age 9 years, y/n",,,1.0.0,,categorical,,,,,Ever doctor-diagnosed eczema at age 9 years,,,,, -GenR,core,ecz,eczema 6 months_n/y,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 6 months,,,,, -GenR,core,ecz3y,eczema doc-attended age 3,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 12 months,,,,, -GenR,core,ecz4y,eczema doc-attended age 4,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 12 months,,,,, -GenR,core,ecz5y,doctor attended eczema age 5 n/y,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 12 months,,,,, -GenR,core,p04_04,olijven,,,1.0.0,,continuous,gram_per_day,,,,Intake of olives,,,,, -GenR,core,eiwit,eiwit totaal (g),,,1.0.0,,continuous,gram_per_day,,,,Total protein intake,,,,, -GenR,core,ethn1_m,best estimate is equal to ethn1_m,,,1.0.0,,categorical,,,,,(Ethnic) background of father based on country of origin (of parents),,,,, -GenR,core,f0100103,GR1003 F1-1 have you ever been addicted to one or more substances? (f0100103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from addiction using a vignette,,,,, -GenR,core,g0100201,g0100201,,,1.0.0,,categorical,,,,,Amount of cigarettes per day the father smoked during pregnancy,,,,, -GenR,core,f0500101,GR1001 F5-1 Did you ever drink alcohol_before pregnancy (f0500101),,,1.0.0,,categorical,,,,,Indicates whether the participant ever drunk alcohol before pregnancy,,,,, -GenR,core,f0500201,GR1001 F5-2 How many glasses alcohol_before pregnancy (f0500201),,,1.0.0,,categorical,,,,,Indicates how many glasses of alcohol before pregnancy,,,,, -GenR,core,f0700101,"NA, use datafile Maternal Smoking GR1001 F7-1 Did you smoke_before pregnancy (f0700101)",,,1.0.0,,categorical,,,,,Indicates the smoking habits of the mother before the index pregnancy,,,,, -GenR,core,f0700201,"NA, use datafile Maternal Smoking GR1001 F7-2 How many did you smoke a day_before pregnancy (f0700201)",,,1.0.0,,categorical,,,,,"Indicates the number of cigarettes, cigars or shag the mother used to smoke per day before the index pregnancy",,,,, -GenR,core,familysize_adultsGR1032,Familysize of adults only based on GR1032,,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,, -GenR,core,familysize_adults_GR1075,Number of adults in household (B2000175),,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,, -GenR,core,familysize_adults_GR1081,Number of adults in household (E0200281),,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,, -GenR,core,familysize_alladults_GR1001,none,,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,, -GenR,core,familysize_allchild_GR1001,none,,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,, -GenR,core,familysize_childrenGR1032,Familysize of children only based on GR1032,,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,, -GenR,core,familysize_childrenGR1065,Familysize of children only based on GR1065,,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,, -GenR,core,familysize_children_GR1075,Number of children in household (B2000275),,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,, -GenR,core,familysize_children_GR1081,Number of children in household (E0200381),,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,, -GenR,core,fat_mass_totalCHILD9,DXA fat mass total body,,,1.0.0,,continuous,gram,,,,Total body fat mass measured with DXA,,,,, -GenR,core,fat_mass_totalbody,DXA fat mass total body,,,1.0.0,,continuous,gram,,,,Total body fat mass measured with DXA,,,,, -GenR,core,fef25_9y,Maximum Expiratory Flow at 75% of Vital Capacity (FEF25) age 9 years,,,1.0.0,,continuous,,,,,Forced Expiratory Flow after exhaling 25% of FVC (L/s),,,,, -GenR,core,fef50_9y,Maximum Expiratory Flow at 50% of Vital Capacity (FEF50) age 9 years,,,1.0.0,,continuous,,,,,Forced Expiratory Flow after exhaling 50% of FVC (L/s),,,,, -GenR,core,fef75,Forced Expiratory Flow after exhaling 75% of FVC (L/s),,,1.0.0,,continuous,,,,,Forced Expiratory Flow after exhaling 75% of FVC (L/s),,,,, -GenR,core,p08,FISH AND SHELLFISH,,,1.0.0,,continuous,gram_per_day,,,,Intake of fish and shellfish,,,,, -GenR,core,fev,Forced Expiratotory Volume in the first second (L),,,1.0.0,,continuous,,,,,Forced Expiratotory Volume in the first second (L),,,,, -GenR,core,height_CB02m,height_CB02m: Height child 2 months,,,1.0.0,,continuous,cm,,,,Height child 2 months,,,,, -GenR,core,height_CB03m,Height child 3 months,,,1.0.0,,continuous,cm,,,,Height child 3 months,,,,, -GenR,core,height_CB04m,Height child 4 months,,,1.0.0,,continuous,cm,,,,Height child 4 months,,,,, -GenR,core,kh,totaal koolhydraten (g),,,1.0.0,,continuous,gram_per_day,,,,Total carbohydrate intake,,,,, -GenR,core,height_CB05t10m,Height child 5-10 months,,,1.0.0,,continuous,cm,,,,Height child 5-10 months,,,,, -GenR,core,height_CB0t2m,height_CB0t2m: Height child 0-2 months,,,1.0.0,,continuous,cm,,,,Height child 0-2 months,,,,, -GenR,core,height_CB10t13m,Height child 10-13 months,,,1.0.0,,continuous,cm,,,,Height child 10-13 months,,,,, -GenR,core,height_CB13t17m,Height child 13-17 months,,,1.0.0,,continuous,cm,,,,Height child 13-17 months,,,,, -GenR,core,height_CB17t23m,Height child 17-23 months,,,1.0.0,,continuous,cm,,,,Height child 17-23 months,,,,, -GenR,core,h0100104,GR1004 H1-1 ever addicted (h0100104),,,1.0.0,,categorical,,,,,This indicates wether partners ever suffered from addiction using a vignette,,,,, -GenR,core,hc_CB02m,hc_CB02m: Head Circumference child 2 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 2 months,,,,, -GenR,core,hc_CB03m,Head Circumference child 3 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 3 months,,,,, -GenR,core,hc_CB04m,Head Circumference child 4 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 4 months,,,,, -GenR,core,hc_CB05t10m,Head Circumference child 5-10 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 5-10 months,,,,, -GenR,core,hc_CB0t2m,hc_CB0t2m: Head Circumference child 0-2 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 0-2 months,,,,, -GenR,core,hc_CB10t13m,Head Circumference child 10-13 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 10-13 months,,,,, -GenR,core,hc_CB13t17m,Head Circumference child 13-17 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 13-17 months,,,,, -GenR,core,rashloc_6m,"Itchy rash on inner elbows, back of knees, upper side of ankles, nappy area, neck or around eyes/ears",,,1.0.0,,categorical,,,,,"On what areas did this itchy rash ever appear? (inner elbow, back of the knee, upper side of the ankles, in the nappy area, on the neck, round the eyes or ears, on the hairy part of the head, other or none of these areas)",,,,, -GenR,core,height_CB23t29m,Height child 23-29 months,,,1.0.0,,continuous,cm,,,,Height child 23-29 months,,,,, -GenR,core,p08_04,"visproducten, vissticks",,,1.0.0,,continuous,gram_per_day,,,,Intake of fish products,,,,, -GenR,core,height_CB29t35m,Height child 29-35 months,,,1.0.0,,continuous,cm,,,,Height child 29-35 months,,,,, -GenR,core,height_CB35t44m,Height child 35-44 months,,,1.0.0,,continuous,cm,,,,Height child 35-44 months,,,,, -GenR,core,height_CB44t56m,Height child 44-56 months,,,1.0.0,,continuous,cm,,,,Height child 44-56 months,,,,, -GenR,core,height_p,height_p,,,1.0.0,,continuous,cm,,,,Height of partner,,,,, -GenR,core,heightchild9,F9 GROWTH - child: height (cm) (heightchild9),,,1.0.0,,continuous,cm,,,,Height child 5 years,,,,, -GenR,core,hos_M108_m,Hostility Mother 108 Months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,hos_M108_p,Hostility Partner 36 Months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,hos_M36_m,Hostility Mother 36 Months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,hos_M36_p,Hostility Partner 36 Months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,i_s_M108_m,Interpersonal Sensitivity Mother 108 months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,i_s_M108_p,Interpersonal Sensitivity Mother 108 months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,i_s_M36_m,Interpersonal Sensitivity Mother 36 months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,i_s_M36_p,Interpersonal Sensitivity Partner 36 months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,inhalant9y,"Current doctor-diagnosed respiratory allergy (pollen, HDM, cats, dogs) at age 9 years, y/n",,,1.0.0,,categorical,,,,,"Ever doctor-diagnosis of inhalant allergy (hay fever, house dust mite, cat, dog)",,,,, -GenR,core,intake,"intake prenatal, postnatal",,,1.0.0,,categorical,,,,,Indicates whether the mother was prenatally or postnatally included,,,,, -GenR,core,intro_groep2,adjusted/corrected with one year nutrition questionnaire,,,1.0.0,,categorical,,,,,Indicates when solid foods were introduced in the child´s diet,,,,, -GenR,core,kcal,energie (kcal),,,1.0.0,,continuous,Kcal_per_day,,,,Total energy intake in kcal,,,,, -GenR,core,kcal_item_sum,Total energy intake/day (kcal),,,1.0.0,,continuous,Kcal_per_day,,,,Total energy intake in kcal,,,,, -GenR,core,kh_en,totaal koolhydraten (en%),,,1.0.0,,continuous,percent,,,,Total carbohydrate intake - energy %,,,,, -GenR,core,le14,Are you and your partner divorced or seperated? / Zijn u en uw partner gescheiden of uit elkaar gegaan?,,,1.0.0,,categorical,,,,,"This indicates wether parents were divorced or separated, assessed using a life events interview at the research centre",,,,, -GenR,core,le14age,How old was your child when the event happened / Hoe oud was uw kind toen het gebeurde?,,,1.0.0,,continuous,year,,,,This indicates the age of child at the divorce or separation of parents,,,,, -GenR,core,lean_mass_totalCHILD9,DXA lean mass total body,,,1.0.0,,continuous,gram,,,,Total body lean mass measured with DXA,,,,, -GenR,core,lean_mass_totalbody,DXA lean mass total body,,,1.0.0,,continuous,gram,,,,Total body lean mass measured with DXA,,,,, -GenR,core,length5child,F@5 GROWTH - child: length (cm) (length5child),,,1.0.0,,continuous,cm,,,,Height child weight 5 years,,,,, -GenR,core,lmp,Last menstrual period,,,1.0.0,,continuous,day,,,,Last menstrual period,,,,, -GenR,core,med_lungs_9,Use of lung medication in past 12 months at age 9 years,,,1.0.0,,categorical,,,,,Use of lung medication in the past 12 months,,,,, -GenR,core,movz_item_sum,Total poly-unsaturated fat intake/day (g),,,1.0.0,,continuous,gram_per_day,,,,Polyunsaturated fat intake,,,,, -GenR,core,mybirthChild,Month and year at birth,,,1.0.0,,continuous,,,,,Month and year at birth,,,,, -GenR,core,nvi_raw,raw complete sumscore of two subtests,,,1.0.0,,continuous,,,,,Mosaics and Categories of SON-R IQ score,,,,, -GenR,core,p01,POTATOES AND OTHER TUBERS,,,1.0.0,,continuous,gram_per_day,,,,Inake of potatoes and other tubers,,,,, -GenR,core,p02,VEGETABLES,,,1.0.0,,continuous,gram_per_day,,,,Intake of vegetables,,,,, -GenR,core,p03,LEGUMES,,,1.0.0,,continuous,gram_per_day,,,,Intake of legumes,,,,, -GenR,core,p04_01,fruit,,,1.0.0,,continuous,gram_per_day,,,,Intake of fruits,,,,, -GenR,core,p04_02,"noten, zaden, notenspread",,,1.0.0,,continuous,gram_per_day,,,,"Intake of nuts, seeds and nutspread",,,,, -GenR,core,p04_03,gemengd fruit/noten,,,1.0.0,,continuous,gram_per_day,,,,Intake of fruit/nut mixture,,,,, -GenR,core,p06_05,"zoutjes, toast",,,1.0.0,,continuous,gram_per_day,,,,Intake of salty snacks and toast,,,,, -GenR,core,p07,MEAT AND MEAT PRODUCTS,,,1.0.0,,continuous,gram_per_day,,,,Intake of meat and meat products,,,,, -GenR,core,p08_01,vis mager < 2,,,1.0.0,,continuous,gram_per_day,,,,Intake of lean fish,,,,, -GenR,core,p11_01,"suiker , honing, jam",,,1.0.0,,continuous,gram_per_day,,,,"Intake of sugar, honey and jam",,,,, -GenR,core,p11_02,"chocola,candybars,hagelslag",,,1.0.0,,continuous,gram_per_day,,,,"Intake of chocolate, candybars and chocolate sprinkles",,,,, -GenR,core,p11_03,zoetwaren (zonder chocola),,,1.0.0,,continuous,gram_per_day,,,,Intake of confectionery (excluding chocolate),,,,, -GenR,core,p11_04,siropen en stroop,,,1.0.0,,continuous,gram_per_day,,,,Intake of syrups,,,,, -GenR,core,p11_05,ijs,,,1.0.0,,continuous,gram_per_day,,,,Intake of icecream,,,,, -GenR,core,p12,CAKES,,,1.0.0,,continuous,gram_per_day,,,,"Intake of cakes, cookies, biscuit",,,,, -GenR,core,p17_02_01,ARTIFICIAL SWEETENERS,,,1.0.0,,continuous,gram_per_day,,,,Intake of artificial sweeteners,,,,, -GenR,core,parentd,Parent died (logistic system 27092018),,,1.0.0,,categorical,,,,,parental death according to logistical tracking system used for contacting participants,,,,, -GenR,core,percprod,Percentile score based on norms,,,1.0.0,,continuous,,,,,Percentile score MacArthur Productive Vocabulary,,,,, -GenR,core,pet,"pet exposure prenatal, y/n",,,1.0.0,,categorical,,,,,"Pet (cat, dog or bird) in the home during pregnancy. If either of cat, dog or bird was answered with yes, pet would be 1. Only if all three would be answered with no, pet would be 0.",,,,, -GenR,core,pro_ASD,weighted complete sumscore of asd in SRS scale,,,1.0.0,,continuous,,,,,Prorated score of SRS sumscore,,,,, -GenR,core,pro_fm12,prorated score fine motor of Infant/Child Development Inventory measured at 12 months,,,1.0.0,,continuous,,,,,Prorated score fine motor at 12 months,,,,, -GenR,core,pro_fm18,prorated score fine motor of Child Development Inventory measured at 18 months,,,1.0.0,,continuous,,,,,Prorated score fine motor at 18 months,,,,, -GenR,core,pro_fm24,prorated score fine motor of Child Development Inventory measured at 24 months,,,1.0.0,,continuous,,,,,Prorated score fine motor at 24 months,,,,, -GenR,core,pro_fm6,prorated score fine motor of Infant/Child Development Inventory measured at 6 months,,,1.0.0,,continuous,,,,,Prorated score fine motor at 6 months,,,,, -GenR,core,pro_gm12,prorated score gross motor of Infant/Child Development Inventory measured at 12 months,,,1.0.0,,continuous,,,,,Prorated score gross motor at 12 months,,,,, -GenR,core,pro_gm18,prorated score gross motor of Child Development Inventory measured at 18 months,,,1.0.0,,continuous,,,,,Prorated score gross motor at 18 months,,,,, -GenR,core,pro_gm24,prorated score gross motor of Child Development Inventory measured at 24 months,,,1.0.0,,continuous,,,,,Prorated score gross motor at 24 months,,,,, -GenR,core,pro_gm6,prorated score gross motor of Infant/Child Development Inventory measured at 6 months,,,1.0.0,,continuous,,,,,Prorated score gross motor at 6 months,,,,, -GenR,core,prodvoc,Sumscore Productive Vocabulary,,,1.0.0,,continuous,,,,,Sum score of language vocabulary production score,,,,, -GenR,core,rankpregnancy,Rank of birthChild by MOTHER,,,1.0.0,,continuous,,,,,Indicates the number of pregnancy within mother for each pregnancy included in the cohort,,,,, -GenR,core,rash_1y,"itchy rash age 1 year (7-12m), y/n",,,1.0.0,,categorical,,,,,Itchy rash in last 6 months? (0= no; 1= yes),,,,, -GenR,core,rash_2y,"itchy rash age 2 years (13-24m), y/n",,,1.0.0,,categorical,,,,,Itchy rash in last 12 months? (0= no; 1= yes),,,,, -GenR,core,rash_4y,"itchy rash age 4 years (37-48m), y/n",,,1.0.0,,categorical,,,,,Itchy rash that came and went during the last year,,,,, -GenR,core,c1100101,GR1001 C11-1 Period with fever_past 3 months (c1100101),,,1.0.0,,categorical,,,,,Variable indicates whether the participant had a period with fever (temp>38o) in the past 3 months.,,,,, -GenR,core,cat,"cat prenatal no, yes",,,1.0.0,,categorical,,,,,Cat in the home during pregnancy,,,,, -GenR,core,cbcl_ext,raw externalizing sumscore scale complete,,,1.0.0,,continuous,,,,,Sumscore of externalizing symptoms reported by mothers,,,,, -GenR,core,cbcl_ext_36,raw sumscore externalizing scale_3 yrs_mother report complete,,,1.0.0,,continuous,,,,,Sumscore of externalizing symptoms reported by mothers,,,,, -GenR,core,cbcl_ext_36m_ai,average item scale externalizing 36 months,,,1.0.0,,continuous,,,,,average item score of subcale externalizing problems,,,,, -GenR,core,cbcl_ext_5,raw sumscore externalizing scale_5 yrs report scale complete,,,1.0.0,,continuous,,,,,Sumscore of externalizing symptoms reported by mothers,,,,, -GenR,core,cbcl_ext_5_ai,average item scale externalizing 5 years,,,1.0.0,,continuous,,,,,average item score of subcale externalizing problems,,,,, -GenR,core,cbcl_ext_9m,raw sumscore externalizing scale_9 yrs mother report scale complete,,,1.0.0,,continuous,,,,,Sumscore of externalizing symptoms reported by mothers,,,,, -GenR,core,cbcl_ext_9m_ai,average item scale externalizing 9 years,,,1.0.0,,continuous,,,,,average item score of subcale externalizing problems,,,,, -GenR,core,cbcl_ext_ai,average item scale externalizing 18 months,,,1.0.0,,continuous,,,,,average item score of subcale externalizing problems,,,,, -GenR,core,cbcl_in_ai,average item scale internalizing 18 months,,,1.0.0,,continuous,,,,,average item score of subcale internalizing problems,,,,, -GenR,core,cbcl_int_36,raw sumscore internalizing scale _3 years mother complete,,,1.0.0,,continuous,,,,,Sumscore of internalizing symptoms reported by mothers,,,,, -GenR,core,cbcl_int_36m_ai,average item scale internalizing 36 months,,,1.0.0,,continuous,,,,,average item score of subcale internalizing problems,,,,, -GenR,core,cbcl_int_5,raw sumscore internalizing scale_5 yrs report - scale complete,,,1.0.0,,continuous,,,,,Sumscore of internalizing symptoms reported by mothers,,,,, -GenR,core,cbcl_int_5_ai,average item scale internalizing 5 years,,,1.0.0,,continuous,,,,,average item score of subcale internalizing problems,,,,, -GenR,core,cbcl_int_9m,raw sumscore internalizing scale_9 yrs mother report scale complete,,,1.0.0,,continuous,,,,,Sumscore of internalizing symptoms reported by mothers,,,,, -GenR,core,cbcl_int_9m_ai,average item scale internalizing 9 years,,,1.0.0,,continuous,,,,,average item score of subcale internalizing problems,,,,, -GenR,core,cbcl_int_ai,average item scale internalizing 18 months,,,1.0.0,,continuous,,,,,average item score of subcale internalizing problems,,,,, -GenR,core,childagedied,age when child died,,,1.0.0,,continuous,year,,,,age when child died,,,,, -GenR,core,childdied,childdied,,,1.0.0,,categorical,,,,,Indicates whether the child died,,,,, -GenR,core,congenital_malformation,definitief any congenital malformation? cleaned Sarah Timmermans (CB plus LNR),,,1.0.0,,categorical,,,,,Any congenital malformation,,,,, -GenR,core,d0100105,GR1005 D1-1 Which description most apllies to you at this moment (d0100105),,,1.0.0,,categorical,,,,,Indicates occupational status of the mother,,,,, -GenR,core,d0200103,GR1003 d2-1 have you ever suffered from depression? (d0200103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from depression using a vignette,,,,, -GenR,core,d0900103,GR1003 D9-1 have you ever suffered from anxiety? (d0900103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from anxiety using a vignette,,,,, -GenR,core,d091003,GR1003 D9-1 have you ever suffered from anxiety? (d0900103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from anxiety using a vignette,,,,, -GenR,core,d1100101,GR1001 D11-1 Do you have diabetes (d1100101),,,1.0.0,,categorical,,,,,Indicates whether a participant has diabetes at the time of the questionnaire. (Note: this may include cases of gestational diabetes in the index pregnancy).,,,,, -GenR,core,d1500103,GR1003 D15-1 have you ever suffered from psychosis? (d1500103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from psychosis using a vignette,,,,, -GenR,core,Sys3_5child,F@5 BLOODPRESSURE – child: 3rd Systole (mmHg) (Sys3_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,, -GenR,core,food9y,"Current doctor-diagnosed food allergy (cashew, peanut) at age 9 years, y/n",,,1.0.0,,categorical,,,,,Allergy to peanut or cashew diagnosed by a physician,,,,, -GenR,core,fvc,Forced Vital Capacity (L),,,1.0.0,,continuous,,,,,Forced Vital Capacity (L),,,,, -GenR,core,g0100101,GR1001 G1-1 Did he smoke_biological father (g0100101),,,1.0.0,,categorical,,,,,Paternal smoking during pregnancy,,,,, -GenR,core,g0200104,GR1004 G2-1 depression ever (g0200104),,,1.0.0,,categorical,,,,,This indicates wether partners ever suffered from depression using a vignette,,,,, -GenR,core,g0900104,GR1004 G9-1 anxiety ever (g0900104),,,1.0.0,,categorical,,,,,This indicates wether partners ever suffered from anxiety using a vignette,,,,, -GenR,core,g1500104,GR1004 G15-1 ever psychosis (g1500104),,,1.0.0,,categorical,,,,,This indicates wether partners ever suffered from psychosis using a vignette,,,,, -GenR,core,gRRp,gRRp,,,1.0.0,,continuous,week,,,,gRRp,,,,, -GenR,core,gblmoe_clean,Birth country mother at enrolment update after focus@5,,,1.0.0,,categorical,,,,,This indicates the birth country of mothers: cleaned with less categories,,,,, -GenR,core,height_CB23t35m,Height child 23-35 months,,,1.0.0,,continuous,cm,,,,Height child 23-35 months,,,,, -GenR,core,gblvad_clean,country of birth father according to questionnaire GR-1001 update after focus@5,,,1.0.0,,categorical,,,,,This indicates the birth country of fathers: cleaned with less categories,,,,, -GenR,core,gebdd,Gebdatum_kind,,,1.0.0,,continuous,,,,,Date of birth,,,,, -GenR,core,gestage_plasma_g1,Gestage Plasma Mother <18 weeks,,,1.0.0,,continuous,week,,,,Gestage Plasma Mother <18 weeks,,,,, +formula-feeding and/or solids. ‘Exclusive’ indicates infants who have been breastfed, without any other milk, solids or fluids.",,,,,,False,,,,, +GenR,core,H0300228,GR1028 H3-2 How may hours a week is your child looked after by an au pair in your home? (H0300228),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by an au pair at home (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,Pulse2_5child,F@5 BLOODPRESSURE – child 2nd Pulse (mean) (Pulse2_5child),,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,,,False,,,,, +GenR,core,Pulse3_5child,F@5 BLOODPRESSURE – child: 3rd Pulse (mean) (Pulse3_5child),,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,,,False,,,,, +GenR,core,Pulse4_5child,F@5 BLOODPRESSURE – child: 4rd Pulse (mean) (Pulse4_5child),,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,,,False,,,,, +GenR,core,SBP1_child9,F@9 BLOODPRESSURE - child: 1st Systole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,SBP2_child9,F@9 BLOODPRESSURE - child: 2nd Systole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,SBP3_child9,F@9 BLOODPRESSURE - child: 3rd Systole (mmHg),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,H0300425,"GR1025 H3-4 How many hours a week is your child cared for by family, neighbours or friends? (H0300425)",,,1.0.0,,categorical,,,,,"Indicates whether the child is cared for by friend, family or relatives (if a positive answer is given on the question whether someone takes care of the child on a regular basis)",,,,,,False,,,,, +GenR,core,H0300428,GR1028 H3-4 How may hours a week is your child looked after by family neighbour and acquaintances? (H0300428),,,1.0.0,,categorical,,,,,"Indicates whether the child is cared for by friend, family or relatives (if a positive answer is given on the question whether someone takes care of the child on a regular basis)",,,,,,False,,,,, +GenR,core,H0300525,GR1025 H3-5 How many hours a week is your child cared for by a crèche or child day care? (H0300525),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a creche or child day care (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,H0300528,GR1028 H3-5 How may hours a week is your child looked after by a creche or day care centre? (H0300528),,,1.0.0,,categorical,,,,,Indicates whether the child is cared for by a creche or child day care (if a positive answer is given on the question whether someone takes care of the child on a regular basis),,,,,,False,,,,, +GenR,core,HB,HB,,,1.0.0,,continuous,mmol/litre,,,,HB,,,,,,False,,,,, +GenR,core,HC5child,F@5 GROWTH - child: headcircumference (cm) (hc5child),,,1.0.0,,continuous,cm,,,,headcircumference 5 years,,,,,,False,,,,, +GenR,core,HC_totalcm,Combined HC (cm) - Birth/CB,,,1.0.0,,continuous,cm,,,,Headcircumference at birth,,,,,,False,,,,, +GenR,core,HDLCH5_C,HDL Child (serum) F5 mmol/l CLEANED,,,1.0.0,,continuous,mmol/litre,,,,HDL-cholesterol from serum measured at research clinics,,,,,,False,,,,, +GenR,core,HDLCholesterolChild9_clean,HDL-Cholesterol serum Child 9 years cleaned,,,1.0.0,,continuous,mmol/litre,,,,HDL-cholesterol from serum measured at research clinics,,,,,,False,,,,, +GenR,core,HDLmetoutliers_1,"HDL mother during pregnancy including outliers, minus gekke waarden",,,1.0.0,,continuous,mmol/litre,,,,HDL mother during pregnancy,,,,,,False,,,,, +GenR,core,HIC24M,SkinBiceps at 24 months,,,1.0.0,,continuous,mm,,,,SkinBiceps at 24 months,,,,,,False,,,,, +GenR,core,HOS_M6,Hostility mother 6months 1024,,,1.0.0,,continuous,,,,,"At 6 months, an abbreviated version of the BSI was assesed in mothers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,INCOME,Netto income household,,,1.0.0,,categorical,,,,,This indicates the net household income measured in the prenatal period,,,,,,False,,,,, +GenR,core,INCOME2,Indication of the net income of your household postnatal included,,,1.0.0,,categorical,,,,,This indicated the net household income measured in the early postnatal period in those mothers who were included in the study after birth of their child,,,,,,False,,,,, +GenR,core,INCOME5,"GR1075 B19 What is the net income of your household per month (your income plus that of your partner, if any).",,,1.0.0,,categorical,,,,,This indicates the net household income measured in childhood (child age around 5 years),,,,,,False,,,,, +GenR,core,INSUCH5_C,Insuline Child (serum) F5 pmol/l CLEANED (pmol/l),,,1.0.0,,continuous,,,,,Insulin from serum measured at research clinics,,,,,,False,,,,, +GenR,core,I_S_M6,Interpersonal Sensitivity mother 6months 1024,,,1.0.0,,continuous,,,,,"At 6 months, an abbreviated version of the BSI was assesed in mothers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,InsulinG1,Insulin pmol/L Mother serum early Pregancy (pmol/l),,,1.0.0,,continuous,,,,,Insulin pmol/L Mother serum early Pregancy (pmol/l),,,,,,False,,,,, +GenR,core,InsulineChild9_clean,Insuline serum Child 9 years cleaned (pmol/l),,,1.0.0,,continuous,,,,,Insulin from serum measured at research clinics,,,,,,False,,,,, +GenR,core,LDLCH5_C,LDL Child (serum) F5 mmol/l CLEANED,,,1.0.0,,continuous,mmol/litre,,,,LDL-cholesterol from serum measured at research clinics,,,,,,False,,,,, +GenR,core,LDLmetoutliers_1,"LDL mother during pregnancy including outliers, minus gekke waarden",,,1.0.0,,continuous,mmol/litre,,,,LDL mother during pregnancy,,,,,,False,,,,, +GenR,core,LENGTH_totalcm,Combined Length (cm) - Birth/CB,,,1.0.0,,continuous,cm,,,,Length at birth,,,,,,False,,,,, +GenR,core,LRTI_1y,lower respiratory tract infection 1 years yes/no,,,1.0.0,,categorical,,,,,bronchiolitis,,,,,,False,,,,, +GenR,core,LRTI_2y,lower respiratory tract infection 2 years yes/no,,,1.0.0,,categorical,,,,,"pneumonia, bronchitis, bronchiolitis",,,,,,False,,,,, +GenR,core,LRTI_3y,lower respiratory tract infection 3 years yes/no,,,1.0.0,,categorical,,,,,"pneumonia, bronchitis",,,,,,False,,,,, +GenR,core,LRTI_4y,lower respiratory tract infection 4 years yes/no,,,1.0.0,,categorical,,,,,"pneumonia, bronchitis",,,,,,False,,,,, +GenR,core,p09,eieren,,,1.0.0,,continuous,gram_per_day,,,,Intake of eggs,,,,,,False,,,,, +GenR,core,LRTI_6mo,lower respiratory tract infection 6 months yes/no,,,1.0.0,,categorical,,,,,"pneumonia, bronchitis, bronchiolitis",,,,,,False,,,,, +GenR,core,LRTI_6y,lower respiratory tract infection 6 years yes/no,,,1.0.0,,categorical,,,,,"pneumonia, bronchitis",,,,,,False,,,,, +GenR,core,MARDICH,marital status 2 groups,,,1.0.0,,categorical,,,,,Marital status,,,,,,False,,,,, +GenR,core,MAR_DICH5,marital status dichotomous based on 5/6 year questionnaire (MAR_DICH5),,,1.0.0,,categorical,,,,,This indicates marital status at the assessment around at age 5 years of the child,,,,,,False,,,,, +GenR,core,MAR_ST2,marital status 3 groups,,,1.0.0,,categorical,,,,,This indicates marital status in three groups in the prenatal period,,,,,,False,,,,, +GenR,core,MAXWEIGHT,highest weight mother before the birth,,,1.0.0,,continuous,kg,,,,highest weight mother before the birth,,,,,,False,,,,, +GenR,core,OUTCOMECHILD,outcome birth - child,,,1.0.0,,categorical,,,,,Indicates the child´s condition at delivery,,,,,,False,,,,, +GenR,core,OUTCOMEPREG,outcome pregnancy,,,1.0.0,,categorical,,,,,outcome of the pregnancy,,,,,,False,,,,, +GenR,core,P04_01,fruit,,,1.0.0,,continuous,gram_per_day,,,,Intake of fruits,,,,,,False,,,,, +GenR,core,PARITY,parity,,,1.0.0,,continuous,,,,,Indicates the womens parity,,,,,,False,,,,, +GenR,core,PA_BEF_AFTER_GENR,PA_BEF_AFTER_GENR: Final variable for solutio,,,1.0.0,,categorical,,,,,"Indicates whether the mother had placental abruption before, during or after the index pregnancy",,,,,,False,,,,, +GenR,core,PE,PE - definition Sarah Timmermans,,,1.0.0,,categorical,,,,,Indicates whether the participant had pre-eclampsia or HELLP. Criteria pre-eclampsia: SBP ≥140 mmHg and/or DBP ≥90 mmHg after 20 weeks of gestation in a previously normotensive women plus the presence of proteinuria. Participants with gestational hypertention are set to missing.,,,,,,False,,,,, +GenR,core,p05,DAIRY PRODUCTS,,,1.0.0,,continuous,gram_per_day,,,,Intake of dairy products,,,,,,False,,,,, +GenR,core,PIH_v2,Pregnancy Induced Hypertension (positive PE_total excluded),,,1.0.0,,categorical,,,,,Indicates whteher the participant had gestational hypertension. Criteria: SBP ≥140 mmHg and/or DBP ≥90 mmHg after 20 weeks of gestation in a previously normotensive women. Participants with pre-eclampsia or HELPP are set to missing.,,,,,,False,,,,, +GenR,core,PLAWGHT,PLAWGHT zonder outliers,,,1.0.0,,continuous,gram,,,,Placenta weight,,,,,,False,,,,, +GenR,core,PULSE1_child9,F@9 BLOODPRESSURE - child: 1st Pulse,,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,,,False,,,,, +GenR,core,PULSE2_child9,F@9 BLOODPRESSURE - child: 2nd Pulse,,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,,,False,,,,, +GenR,core,PULSE3_child9,F@9 BLOODPRESSURE - child: 3rd Pulse,,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,,,False,,,,, +GenR,core,PULSE4_child9,F@9 BLOODPRESSURE - child: 4th Pulse,,,1.0.0,,continuous,bpm,,,,Pulse measured in sitting position at research clinics,,,,,,False,,,,, +GenR,core,Ppro_ASD,Fractional Rank Percent of pro_ASD,,,1.0.0,,continuous,,,,,Percentile score of subscale ASD,,,,,,False,,,,, +GenR,core,Ppro_fm12,Fractional Rank Percent of pro_fm12,,,1.0.0,,continuous,,,,,Percentile score fine motor at 12 months,,,,,,False,,,,, +GenR,core,Ppro_fm18,Fractional Rank Percent of pro_fm18,,,1.0.0,,continuous,,,,,Percentile score fine motor at 18 months,,,,,,False,,,,, +GenR,core,Ppro_fm24,Fractional Rank Percent of pro_fm24,,,1.0.0,,continuous,,,,,Percentile score fine motor at 24 months,,,,,,False,,,,, +GenR,core,Ppro_fm6,Fractional Rank Percent of pro_fm6,,,1.0.0,,continuous,,,,,Percentile score fine motor at 6 months,,,,,,False,,,,, +GenR,core,Ppro_gm12,Fractional Rank Percent of pro_gm12,,,1.0.0,,continuous,,,,,Percentile score gross motor at 12 months,,,,,,False,,,,, +GenR,core,Ppro_gm18,Fractional Rank Percent of pro_gm18,,,1.0.0,,continuous,,,,,Percentile score gross motor at 18 months,,,,,,False,,,,, +GenR,core,Ppro_gm24,Fractional Rank Percent of pro_gm24,,,1.0.0,,continuous,,,,,Percentile score gross motor at 24 months,,,,,,False,,,,, +GenR,core,rashloc_5y,"Itchy rash on inner elbows, back of knees, upper side of ankles, nappy area, neck or around eyes/ears",,,1.0.0,,categorical,,,,,"On what areas did this itchy rash appear? (inner elbow, back of the knee, upper side of the ankles, in the nappy area, on the neck, round the eyes or ears)",,,,,,False,,,,, +GenR,core,anx_M36_m,Anxiety Mother 36 Months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,anx_M36_p,Anxiety Partner 36 Months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,as_ever5y,Ever physician diagnosed asthma at age 5 years,,,1.0.0,,categorical,,,,,Ever physician diagnosed asthma at age 5 years,,,,,,False,,,,, +GenR,core,as_ever9y,Ever physician diagnosed asthma at age 9 years,,,1.0.0,,categorical,,,,,Ever physician diagnosed asthma at age 9 years,,,,,,False,,,,, +GenR,core,dep_M36_p,Depression Partner 36 Months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,dog,"dog prenatal no, yes",,,1.0.0,,categorical,,,,,Dog in the home during pregnancy,,,,,,False,,,,, +GenR,core,familysize_adultsGR1065,Familysize of adults only based on GR1065,,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,,,False,,,,, +GenR,core,e0100103,GR1003 E1-1 ever tried to loose weight_may you have suffered from anorexia? (e0100103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from anorexia using a vignette,,,,,,False,,,,, +GenR,core,e0100203,GR1003 E1-2 have you suffered from anorexia in the past year? (e0100203),,,1.0.0,,categorical,,,,,This indicates wether pregnant women suffered from anorexia in the past year using a vignette,,,,,,False,,,,, +GenR,core,e0200103,GR1003 E2-1 have you ever suffered from bulimia? (e0200103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from bulimia using a vignette,,,,,,False,,,,, +GenR,core,e0200203,GR1003 E2-2 have you suffered from bulimia in the past year? (e0200203),,,1.0.0,,categorical,,,,,This indicates wether pregnant women suffered from bulimia in the past year using a vignette,,,,,,False,,,,, +GenR,core,e0300104,GR1004 E3-1 best description income (e0300104),,,1.0.0,,categorical,,,,,Indicates occupational status of the father,,,,,,False,,,,, +GenR,core,ec_ever9y,"Ever doctor-diagnosed eczema at age 9 years, y/n",,,1.0.0,,categorical,,,,,Ever doctor-diagnosed eczema at age 9 years,,,,,,False,,,,, +GenR,core,ecz,eczema 6 months_n/y,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 6 months,,,,,,False,,,,, +GenR,core,ecz3y,eczema doc-attended age 3,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 12 months,,,,,,False,,,,, +GenR,core,ecz4y,eczema doc-attended age 4,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 12 months,,,,,,False,,,,, +GenR,core,ecz5y,doctor attended eczema age 5 n/y,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 12 months,,,,,,False,,,,, +GenR,core,p04_04,olijven,,,1.0.0,,continuous,gram_per_day,,,,Intake of olives,,,,,,False,,,,, +GenR,core,eiwit,eiwit totaal (g),,,1.0.0,,continuous,gram_per_day,,,,Total protein intake,,,,,,False,,,,, +GenR,core,ethn1_m,best estimate is equal to ethn1_m,,,1.0.0,,categorical,,,,,(Ethnic) background of father based on country of origin (of parents),,,,,,False,,,,, +GenR,core,f0100103,GR1003 F1-1 have you ever been addicted to one or more substances? (f0100103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from addiction using a vignette,,,,,,False,,,,, +GenR,core,g0100201,g0100201,,,1.0.0,,categorical,,,,,Amount of cigarettes per day the father smoked during pregnancy,,,,,,False,,,,, +GenR,core,f0500101,GR1001 F5-1 Did you ever drink alcohol_before pregnancy (f0500101),,,1.0.0,,categorical,,,,,Indicates whether the participant ever drunk alcohol before pregnancy,,,,,,False,,,,, +GenR,core,f0500201,GR1001 F5-2 How many glasses alcohol_before pregnancy (f0500201),,,1.0.0,,categorical,,,,,Indicates how many glasses of alcohol before pregnancy,,,,,,False,,,,, +GenR,core,f0700101,"NA, use datafile Maternal Smoking GR1001 F7-1 Did you smoke_before pregnancy (f0700101)",,,1.0.0,,categorical,,,,,Indicates the smoking habits of the mother before the index pregnancy,,,,,,False,,,,, +GenR,core,f0700201,"NA, use datafile Maternal Smoking GR1001 F7-2 How many did you smoke a day_before pregnancy (f0700201)",,,1.0.0,,categorical,,,,,"Indicates the number of cigarettes, cigars or shag the mother used to smoke per day before the index pregnancy",,,,,,False,,,,, +GenR,core,familysize_adultsGR1032,Familysize of adults only based on GR1032,,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,,,False,,,,, +GenR,core,familysize_adults_GR1075,Number of adults in household (B2000175),,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,,,False,,,,, +GenR,core,familysize_adults_GR1081,Number of adults in household (E0200281),,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,,,False,,,,, +GenR,core,familysize_alladults_GR1001,none,,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,,,False,,,,, +GenR,core,familysize_allchild_GR1001,none,,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,,,False,,,,, +GenR,core,familysize_childrenGR1032,Familysize of children only based on GR1032,,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,,,False,,,,, +GenR,core,familysize_childrenGR1065,Familysize of children only based on GR1065,,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,,,False,,,,, +GenR,core,familysize_children_GR1075,Number of children in household (B2000275),,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,,,False,,,,, +GenR,core,familysize_children_GR1081,Number of children in household (E0200381),,,1.0.0,,continuous,,,,,This variable was based on questions assessing family size (number of persons); separate variables were constructured for children (younger <18 years) and adults (=> 18 years),,,,,,False,,,,, +GenR,core,fat_mass_totalCHILD9,DXA fat mass total body,,,1.0.0,,continuous,gram,,,,Total body fat mass measured with DXA,,,,,,False,,,,, +GenR,core,fat_mass_totalbody,DXA fat mass total body,,,1.0.0,,continuous,gram,,,,Total body fat mass measured with DXA,,,,,,False,,,,, +GenR,core,fef25_9y,Maximum Expiratory Flow at 75% of Vital Capacity (FEF25) age 9 years,,,1.0.0,,continuous,,,,,Forced Expiratory Flow after exhaling 25% of FVC (L/s),,,,,,False,,,,, +GenR,core,fef50_9y,Maximum Expiratory Flow at 50% of Vital Capacity (FEF50) age 9 years,,,1.0.0,,continuous,,,,,Forced Expiratory Flow after exhaling 50% of FVC (L/s),,,,,,False,,,,, +GenR,core,fef75,Forced Expiratory Flow after exhaling 75% of FVC (L/s),,,1.0.0,,continuous,,,,,Forced Expiratory Flow after exhaling 75% of FVC (L/s),,,,,,False,,,,, +GenR,core,p08,FISH AND SHELLFISH,,,1.0.0,,continuous,gram_per_day,,,,Intake of fish and shellfish,,,,,,False,,,,, +GenR,core,fev,Forced Expiratotory Volume in the first second (L),,,1.0.0,,continuous,,,,,Forced Expiratotory Volume in the first second (L),,,,,,False,,,,, +GenR,core,height_CB02m,height_CB02m: Height child 2 months,,,1.0.0,,continuous,cm,,,,Height child 2 months,,,,,,False,,,,, +GenR,core,height_CB03m,Height child 3 months,,,1.0.0,,continuous,cm,,,,Height child 3 months,,,,,,False,,,,, +GenR,core,height_CB04m,Height child 4 months,,,1.0.0,,continuous,cm,,,,Height child 4 months,,,,,,False,,,,, +GenR,core,kh,totaal koolhydraten (g),,,1.0.0,,continuous,gram_per_day,,,,Total carbohydrate intake,,,,,,False,,,,, +GenR,core,height_CB05t10m,Height child 5-10 months,,,1.0.0,,continuous,cm,,,,Height child 5-10 months,,,,,,False,,,,, +GenR,core,height_CB0t2m,height_CB0t2m: Height child 0-2 months,,,1.0.0,,continuous,cm,,,,Height child 0-2 months,,,,,,False,,,,, +GenR,core,height_CB10t13m,Height child 10-13 months,,,1.0.0,,continuous,cm,,,,Height child 10-13 months,,,,,,False,,,,, +GenR,core,height_CB13t17m,Height child 13-17 months,,,1.0.0,,continuous,cm,,,,Height child 13-17 months,,,,,,False,,,,, +GenR,core,height_CB17t23m,Height child 17-23 months,,,1.0.0,,continuous,cm,,,,Height child 17-23 months,,,,,,False,,,,, +GenR,core,h0100104,GR1004 H1-1 ever addicted (h0100104),,,1.0.0,,categorical,,,,,This indicates wether partners ever suffered from addiction using a vignette,,,,,,False,,,,, +GenR,core,hc_CB02m,hc_CB02m: Head Circumference child 2 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 2 months,,,,,,False,,,,, +GenR,core,hc_CB03m,Head Circumference child 3 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 3 months,,,,,,False,,,,, +GenR,core,hc_CB04m,Head Circumference child 4 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 4 months,,,,,,False,,,,, +GenR,core,hc_CB05t10m,Head Circumference child 5-10 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 5-10 months,,,,,,False,,,,, +GenR,core,hc_CB0t2m,hc_CB0t2m: Head Circumference child 0-2 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 0-2 months,,,,,,False,,,,, +GenR,core,hc_CB10t13m,Head Circumference child 10-13 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 10-13 months,,,,,,False,,,,, +GenR,core,hc_CB13t17m,Head Circumference child 13-17 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 13-17 months,,,,,,False,,,,, +GenR,core,rashloc_6m,"Itchy rash on inner elbows, back of knees, upper side of ankles, nappy area, neck or around eyes/ears",,,1.0.0,,categorical,,,,,"On what areas did this itchy rash ever appear? (inner elbow, back of the knee, upper side of the ankles, in the nappy area, on the neck, round the eyes or ears, on the hairy part of the head, other or none of these areas)",,,,,,False,,,,, +GenR,core,height_CB23t29m,Height child 23-29 months,,,1.0.0,,continuous,cm,,,,Height child 23-29 months,,,,,,False,,,,, +GenR,core,p08_04,"visproducten, vissticks",,,1.0.0,,continuous,gram_per_day,,,,Intake of fish products,,,,,,False,,,,, +GenR,core,height_CB29t35m,Height child 29-35 months,,,1.0.0,,continuous,cm,,,,Height child 29-35 months,,,,,,False,,,,, +GenR,core,height_CB35t44m,Height child 35-44 months,,,1.0.0,,continuous,cm,,,,Height child 35-44 months,,,,,,False,,,,, +GenR,core,height_CB44t56m,Height child 44-56 months,,,1.0.0,,continuous,cm,,,,Height child 44-56 months,,,,,,False,,,,, +GenR,core,height_p,height_p,,,1.0.0,,continuous,cm,,,,Height of partner,,,,,,False,,,,, +GenR,core,heightchild9,F9 GROWTH - child: height (cm) (heightchild9),,,1.0.0,,continuous,cm,,,,Height child 5 years,,,,,,False,,,,, +GenR,core,hos_M108_m,Hostility Mother 108 Months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,hos_M108_p,Hostility Partner 36 Months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,hos_M36_m,Hostility Mother 36 Months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,hos_M36_p,Hostility Partner 36 Months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,i_s_M108_m,Interpersonal Sensitivity Mother 108 months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,i_s_M108_p,Interpersonal Sensitivity Mother 108 months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,i_s_M36_m,Interpersonal Sensitivity Mother 36 months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,i_s_M36_p,Interpersonal Sensitivity Partner 36 months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,inhalant9y,"Current doctor-diagnosed respiratory allergy (pollen, HDM, cats, dogs) at age 9 years, y/n",,,1.0.0,,categorical,,,,,"Ever doctor-diagnosis of inhalant allergy (hay fever, house dust mite, cat, dog)",,,,,,False,,,,, +GenR,core,intake,"intake prenatal, postnatal",,,1.0.0,,categorical,,,,,Indicates whether the mother was prenatally or postnatally included,,,,,,False,,,,, +GenR,core,intro_groep2,adjusted/corrected with one year nutrition questionnaire,,,1.0.0,,categorical,,,,,Indicates when solid foods were introduced in the child´s diet,,,,,,False,,,,, +GenR,core,kcal,energie (kcal),,,1.0.0,,continuous,Kcal_per_day,,,,Total energy intake in kcal,,,,,,False,,,,, +GenR,core,kcal_item_sum,Total energy intake/day (kcal),,,1.0.0,,continuous,Kcal_per_day,,,,Total energy intake in kcal,,,,,,False,,,,, +GenR,core,kh_en,totaal koolhydraten (en%),,,1.0.0,,continuous,percent,,,,Total carbohydrate intake - energy %,,,,,,False,,,,, +GenR,core,le14,Are you and your partner divorced or seperated? / Zijn u en uw partner gescheiden of uit elkaar gegaan?,,,1.0.0,,categorical,,,,,"This indicates wether parents were divorced or separated, assessed using a life events interview at the research centre",,,,,,False,,,,, +GenR,core,le14age,How old was your child when the event happened / Hoe oud was uw kind toen het gebeurde?,,,1.0.0,,continuous,year,,,,This indicates the age of child at the divorce or separation of parents,,,,,,False,,,,, +GenR,core,lean_mass_totalCHILD9,DXA lean mass total body,,,1.0.0,,continuous,gram,,,,Total body lean mass measured with DXA,,,,,,False,,,,, +GenR,core,lean_mass_totalbody,DXA lean mass total body,,,1.0.0,,continuous,gram,,,,Total body lean mass measured with DXA,,,,,,False,,,,, +GenR,core,length5child,F@5 GROWTH - child: length (cm) (length5child),,,1.0.0,,continuous,cm,,,,Height child weight 5 years,,,,,,False,,,,, +GenR,core,lmp,Last menstrual period,,,1.0.0,,continuous,day,,,,Last menstrual period,,,,,,False,,,,, +GenR,core,med_lungs_9,Use of lung medication in past 12 months at age 9 years,,,1.0.0,,categorical,,,,,Use of lung medication in the past 12 months,,,,,,False,,,,, +GenR,core,movz_item_sum,Total poly-unsaturated fat intake/day (g),,,1.0.0,,continuous,gram_per_day,,,,Polyunsaturated fat intake,,,,,,False,,,,, +GenR,core,mybirthChild,Month and year at birth,,,1.0.0,,continuous,,,,,Month and year at birth,,,,,,False,,,,, +GenR,core,nvi_raw,raw complete sumscore of two subtests,,,1.0.0,,continuous,,,,,Mosaics and Categories of SON-R IQ score,,,,,,False,,,,, +GenR,core,p01,POTATOES AND OTHER TUBERS,,,1.0.0,,continuous,gram_per_day,,,,Inake of potatoes and other tubers,,,,,,False,,,,, +GenR,core,p02,VEGETABLES,,,1.0.0,,continuous,gram_per_day,,,,Intake of vegetables,,,,,,False,,,,, +GenR,core,p03,LEGUMES,,,1.0.0,,continuous,gram_per_day,,,,Intake of legumes,,,,,,False,,,,, +GenR,core,p04_01,fruit,,,1.0.0,,continuous,gram_per_day,,,,Intake of fruits,,,,,,False,,,,, +GenR,core,p04_02,"noten, zaden, notenspread",,,1.0.0,,continuous,gram_per_day,,,,"Intake of nuts, seeds and nutspread",,,,,,False,,,,, +GenR,core,p04_03,gemengd fruit/noten,,,1.0.0,,continuous,gram_per_day,,,,Intake of fruit/nut mixture,,,,,,False,,,,, +GenR,core,p06_05,"zoutjes, toast",,,1.0.0,,continuous,gram_per_day,,,,Intake of salty snacks and toast,,,,,,False,,,,, +GenR,core,p07,MEAT AND MEAT PRODUCTS,,,1.0.0,,continuous,gram_per_day,,,,Intake of meat and meat products,,,,,,False,,,,, +GenR,core,p08_01,vis mager < 2,,,1.0.0,,continuous,gram_per_day,,,,Intake of lean fish,,,,,,False,,,,, +GenR,core,p11_01,"suiker , honing, jam",,,1.0.0,,continuous,gram_per_day,,,,"Intake of sugar, honey and jam",,,,,,False,,,,, +GenR,core,p11_02,"chocola,candybars,hagelslag",,,1.0.0,,continuous,gram_per_day,,,,"Intake of chocolate, candybars and chocolate sprinkles",,,,,,False,,,,, +GenR,core,p11_03,zoetwaren (zonder chocola),,,1.0.0,,continuous,gram_per_day,,,,Intake of confectionery (excluding chocolate),,,,,,False,,,,, +GenR,core,p11_04,siropen en stroop,,,1.0.0,,continuous,gram_per_day,,,,Intake of syrups,,,,,,False,,,,, +GenR,core,p11_05,ijs,,,1.0.0,,continuous,gram_per_day,,,,Intake of icecream,,,,,,False,,,,, +GenR,core,p12,CAKES,,,1.0.0,,continuous,gram_per_day,,,,"Intake of cakes, cookies, biscuit",,,,,,False,,,,, +GenR,core,p17_02_01,ARTIFICIAL SWEETENERS,,,1.0.0,,continuous,gram_per_day,,,,Intake of artificial sweeteners,,,,,,False,,,,, +GenR,core,parentd,Parent died (logistic system 27092018),,,1.0.0,,categorical,,,,,parental death according to logistical tracking system used for contacting participants,,,,,,False,,,,, +GenR,core,percprod,Percentile score based on norms,,,1.0.0,,continuous,,,,,Percentile score MacArthur Productive Vocabulary,,,,,,False,,,,, +GenR,core,pet,"pet exposure prenatal, y/n",,,1.0.0,,categorical,,,,,"Pet (cat, dog or bird) in the home during pregnancy. If either of cat, dog or bird was answered with yes, pet would be 1. Only if all three would be answered with no, pet would be 0.",,,,,,False,,,,, +GenR,core,pro_ASD,weighted complete sumscore of asd in SRS scale,,,1.0.0,,continuous,,,,,Prorated score of SRS sumscore,,,,,,False,,,,, +GenR,core,pro_fm12,prorated score fine motor of Infant/Child Development Inventory measured at 12 months,,,1.0.0,,continuous,,,,,Prorated score fine motor at 12 months,,,,,,False,,,,, +GenR,core,pro_fm18,prorated score fine motor of Child Development Inventory measured at 18 months,,,1.0.0,,continuous,,,,,Prorated score fine motor at 18 months,,,,,,False,,,,, +GenR,core,pro_fm24,prorated score fine motor of Child Development Inventory measured at 24 months,,,1.0.0,,continuous,,,,,Prorated score fine motor at 24 months,,,,,,False,,,,, +GenR,core,pro_fm6,prorated score fine motor of Infant/Child Development Inventory measured at 6 months,,,1.0.0,,continuous,,,,,Prorated score fine motor at 6 months,,,,,,False,,,,, +GenR,core,pro_gm12,prorated score gross motor of Infant/Child Development Inventory measured at 12 months,,,1.0.0,,continuous,,,,,Prorated score gross motor at 12 months,,,,,,False,,,,, +GenR,core,pro_gm18,prorated score gross motor of Child Development Inventory measured at 18 months,,,1.0.0,,continuous,,,,,Prorated score gross motor at 18 months,,,,,,False,,,,, +GenR,core,pro_gm24,prorated score gross motor of Child Development Inventory measured at 24 months,,,1.0.0,,continuous,,,,,Prorated score gross motor at 24 months,,,,,,False,,,,, +GenR,core,pro_gm6,prorated score gross motor of Infant/Child Development Inventory measured at 6 months,,,1.0.0,,continuous,,,,,Prorated score gross motor at 6 months,,,,,,False,,,,, +GenR,core,prodvoc,Sumscore Productive Vocabulary,,,1.0.0,,continuous,,,,,Sum score of language vocabulary production score,,,,,,False,,,,, +GenR,core,rankpregnancy,Rank of birthChild by MOTHER,,,1.0.0,,continuous,,,,,Indicates the number of pregnancy within mother for each pregnancy included in the cohort,,,,,,False,,,,, +GenR,core,rash_1y,"itchy rash age 1 year (7-12m), y/n",,,1.0.0,,categorical,,,,,Itchy rash in last 6 months? (0= no; 1= yes),,,,,,False,,,,, +GenR,core,rash_2y,"itchy rash age 2 years (13-24m), y/n",,,1.0.0,,categorical,,,,,Itchy rash in last 12 months? (0= no; 1= yes),,,,,,False,,,,, +GenR,core,rash_4y,"itchy rash age 4 years (37-48m), y/n",,,1.0.0,,categorical,,,,,Itchy rash that came and went during the last year,,,,,,False,,,,, +GenR,core,c1100101,GR1001 C11-1 Period with fever_past 3 months (c1100101),,,1.0.0,,categorical,,,,,Variable indicates whether the participant had a period with fever (temp>38o) in the past 3 months.,,,,,,False,,,,, +GenR,core,cat,"cat prenatal no, yes",,,1.0.0,,categorical,,,,,Cat in the home during pregnancy,,,,,,False,,,,, +GenR,core,cbcl_ext,raw externalizing sumscore scale complete,,,1.0.0,,continuous,,,,,Sumscore of externalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,cbcl_ext_36,raw sumscore externalizing scale_3 yrs_mother report complete,,,1.0.0,,continuous,,,,,Sumscore of externalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,cbcl_ext_36m_ai,average item scale externalizing 36 months,,,1.0.0,,continuous,,,,,average item score of subcale externalizing problems,,,,,,False,,,,, +GenR,core,cbcl_ext_5,raw sumscore externalizing scale_5 yrs report scale complete,,,1.0.0,,continuous,,,,,Sumscore of externalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,cbcl_ext_5_ai,average item scale externalizing 5 years,,,1.0.0,,continuous,,,,,average item score of subcale externalizing problems,,,,,,False,,,,, +GenR,core,cbcl_ext_9m,raw sumscore externalizing scale_9 yrs mother report scale complete,,,1.0.0,,continuous,,,,,Sumscore of externalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,cbcl_ext_9m_ai,average item scale externalizing 9 years,,,1.0.0,,continuous,,,,,average item score of subcale externalizing problems,,,,,,False,,,,, +GenR,core,cbcl_ext_ai,average item scale externalizing 18 months,,,1.0.0,,continuous,,,,,average item score of subcale externalizing problems,,,,,,False,,,,, +GenR,core,cbcl_in_ai,average item scale internalizing 18 months,,,1.0.0,,continuous,,,,,average item score of subcale internalizing problems,,,,,,False,,,,, +GenR,core,cbcl_int_36,raw sumscore internalizing scale _3 years mother complete,,,1.0.0,,continuous,,,,,Sumscore of internalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,cbcl_int_36m_ai,average item scale internalizing 36 months,,,1.0.0,,continuous,,,,,average item score of subcale internalizing problems,,,,,,False,,,,, +GenR,core,cbcl_int_5,raw sumscore internalizing scale_5 yrs report - scale complete,,,1.0.0,,continuous,,,,,Sumscore of internalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,cbcl_int_5_ai,average item scale internalizing 5 years,,,1.0.0,,continuous,,,,,average item score of subcale internalizing problems,,,,,,False,,,,, +GenR,core,cbcl_int_9m,raw sumscore internalizing scale_9 yrs mother report scale complete,,,1.0.0,,continuous,,,,,Sumscore of internalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,cbcl_int_9m_ai,average item scale internalizing 9 years,,,1.0.0,,continuous,,,,,average item score of subcale internalizing problems,,,,,,False,,,,, +GenR,core,cbcl_int_ai,average item scale internalizing 18 months,,,1.0.0,,continuous,,,,,average item score of subcale internalizing problems,,,,,,False,,,,, +GenR,core,childagedied,age when child died,,,1.0.0,,continuous,year,,,,age when child died,,,,,,False,,,,, +GenR,core,childdied,childdied,,,1.0.0,,categorical,,,,,Indicates whether the child died,,,,,,False,,,,, +GenR,core,congenital_malformation,definitief any congenital malformation? cleaned Sarah Timmermans (CB plus LNR),,,1.0.0,,categorical,,,,,Any congenital malformation,,,,,,False,,,,, +GenR,core,d0100105,GR1005 D1-1 Which description most apllies to you at this moment (d0100105),,,1.0.0,,categorical,,,,,Indicates occupational status of the mother,,,,,,False,,,,, +GenR,core,d0200103,GR1003 d2-1 have you ever suffered from depression? (d0200103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from depression using a vignette,,,,,,False,,,,, +GenR,core,d0900103,GR1003 D9-1 have you ever suffered from anxiety? (d0900103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from anxiety using a vignette,,,,,,False,,,,, +GenR,core,d091003,GR1003 D9-1 have you ever suffered from anxiety? (d0900103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from anxiety using a vignette,,,,,,False,,,,, +GenR,core,d1100101,GR1001 D11-1 Do you have diabetes (d1100101),,,1.0.0,,categorical,,,,,Indicates whether a participant has diabetes at the time of the questionnaire. (Note: this may include cases of gestational diabetes in the index pregnancy).,,,,,,False,,,,, +GenR,core,d1500103,GR1003 D15-1 have you ever suffered from psychosis? (d1500103),,,1.0.0,,categorical,,,,,This indicates wether pregnant women ever suffered from psychosis using a vignette,,,,,,False,,,,, +GenR,core,Sys3_5child,F@5 BLOODPRESSURE – child: 3rd Systole (mmHg) (Sys3_5child),,,1.0.0,,continuous,mmHg,,,,Bloodpressure measured in sitting positing at right upper arm at reseach clinics,,,,,,False,,,,, +GenR,core,food9y,"Current doctor-diagnosed food allergy (cashew, peanut) at age 9 years, y/n",,,1.0.0,,categorical,,,,,Allergy to peanut or cashew diagnosed by a physician,,,,,,False,,,,, +GenR,core,fvc,Forced Vital Capacity (L),,,1.0.0,,continuous,,,,,Forced Vital Capacity (L),,,,,,False,,,,, +GenR,core,g0100101,GR1001 G1-1 Did he smoke_biological father (g0100101),,,1.0.0,,categorical,,,,,Paternal smoking during pregnancy,,,,,,False,,,,, +GenR,core,g0200104,GR1004 G2-1 depression ever (g0200104),,,1.0.0,,categorical,,,,,This indicates wether partners ever suffered from depression using a vignette,,,,,,False,,,,, +GenR,core,g0900104,GR1004 G9-1 anxiety ever (g0900104),,,1.0.0,,categorical,,,,,This indicates wether partners ever suffered from anxiety using a vignette,,,,,,False,,,,, +GenR,core,g1500104,GR1004 G15-1 ever psychosis (g1500104),,,1.0.0,,categorical,,,,,This indicates wether partners ever suffered from psychosis using a vignette,,,,,,False,,,,, +GenR,core,gRRp,gRRp,,,1.0.0,,continuous,week,,,,gRRp,,,,,,False,,,,, +GenR,core,gblmoe_clean,Birth country mother at enrolment update after focus@5,,,1.0.0,,categorical,,,,,This indicates the birth country of mothers: cleaned with less categories,,,,,,False,,,,, +GenR,core,height_CB23t35m,Height child 23-35 months,,,1.0.0,,continuous,cm,,,,Height child 23-35 months,,,,,,False,,,,, +GenR,core,gblvad_clean,country of birth father according to questionnaire GR-1001 update after focus@5,,,1.0.0,,categorical,,,,,This indicates the birth country of fathers: cleaned with less categories,,,,,,False,,,,, +GenR,core,gebdd,Gebdatum_kind,,,1.0.0,,continuous,,,,,Date of birth,,,,,,False,,,,, +GenR,core,gestage_plasma_g1,Gestage Plasma Mother <18 weeks,,,1.0.0,,continuous,week,,,,Gestage Plasma Mother <18 weeks,,,,,,False,,,,, GenR,core,gsi,Global Severity Index (GSI),,,1.0.0,,continuous,,,,,"At 20 weeks of pregnancy, the Brief Symptom Inventory (BSI) was used, the BSI consists of 53 items covering nine symptom dimensions: Somatization, Obsession-Compulsion, Interpersonal Sensitivity, Depression, Anxiety, Hostility, Phobic anxiety, Paranoid ideation and Psychoticism; and three global indices of distress: Global Severity Index, Positive Symptom Distress Index, and Positive Symptom Total. The global indices measure current or past level of symptomatology, intensity of symptoms, and number of reported symptoms, respectively. -According to the manual of the BSI, a validated cut-offs were used to determine clinically relevant symptoms vs. no symptoms in the global scale and subscales. These were not the same for women and men, thus sex-specific cut-offs were used.",,,,, +According to the manual of the BSI, a validated cut-offs were used to determine clinically relevant symptoms vs. no symptoms in the global scale and subscales. These were not the same for women and men, thus sex-specific cut-offs were used.",,,,,,False,,,,, GenR,core,gsi_m2,"No label, but should be 'Global severity Index at 2 months""",,,1.0.0,,continuous,,,,,"At 20 months postnatal, the Brief Symptom Inventory (BSI) was used, the BSI consists of 53 items covering nine symptom dimensions: Somatization, Obsession-Compulsion, Interpersonal Sensitivity, Depression, Anxiety, Hostility, Phobic anxiety, Paranoid ideation and Psychoticism; and three global indices of distress: Global Severity Index, Positive Symptom Distress Index, and Positive Symptom Total. The global indices measure current or past level of symptomatology, intensity of symptoms, and number of reported symptoms, respectively. -According to the manual of the BSI, a validated cut-offs were used to determine clinically relevant symptoms vs. no symptoms in the global scale and subscales. These were not the same for women and men, thus sex-specific cut-offs were used.",,,,, -GenR,core,d2000101,Do you have chronic eczema?,,,1.0.0,,categorical,,,,,Maternal eczema,,,,, -GenR,core,d2800101,GR1001 D28-1 Have you ever had asthma (d2800101),,,1.0.0,,categorical,,,,,Indicates whether the mother has asthma,,,,, -GenR,core,d2800201,GR1001 D28-2 Was asthma confirmed by a doctor (d2800201),,,1.0.0,,categorical,,,,,Indicates whether asthma (if question on asthma is yes) was confirmed by a doctor,,,,, -GenR,core,d2900101,GR1001 D29-1 Are you allergic to housedust (d2900101),,,1.0.0,,categorical,,,,,House dust allergy of the mother,,,,, -GenR,core,ecz9y,Physician attended eczema in the past 12 months,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 12 months,,,,, -GenR,core,eiwit_en,eiwit totaal (en%),,,1.0.0,,continuous,percent,,,,Total protein intake - energy %,,,,, -GenR,core,d2900201,GR1001 D29-2 Was housedust allergy confirmed by a doctor (d2900201),,,1.0.0,,categorical,,,,,Diagnosis of house dust allergy of the mother by a doctor,,,,, -GenR,core,d3000101,GR1001 D30-1 Are you allergic to the housedust mite (d3000101),,,1.0.0,,categorical,,,,,House dust mite allergy of the mother,,,,, -GenR,core,ethn1_p,best estimate is equal to ethn1_p,,,1.0.0,,categorical,,,,,(Ethnic) background of mother based on country of origin (of parents),,,,, -GenR,core,d3000201,GR1001 D30-2 Was housedust mite allergy confirmed by a doctor (d3000201),,,1.0.0,,categorical,,,,,Diagnosis of house dust mite allergy of the mother by a doctor,,,,, -GenR,core,d3100101,GR1001 D31-1 Do you have any kind of nose allergy such as hay fever (d3100101),,,1.0.0,,categorical,,,,,"Nose allergy, such as hay fever of the mother",,,,, -GenR,core,d3100201,GR1001 D31-2 Was nose allergy confirmed by a doctor (d3100201),,,1.0.0,,categorical,,,,,"Diagnosis of nose allergy, such as hay fever, of the mother by a doctor",,,,, -GenR,core,dep_M108_m,Depression Mother 108 Months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,dep_M108_p,Depression Partner 108 Months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,dep_M36_m,Depression Mother 36 Months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,, -GenR,core,vet_en,vet totaal (en%),,,1.0.0,,continuous,percent,,,,Total fat intake - energy %,,,,, -GenR,core,std_fm12,Standardized 100 mean and 15 std fine motor 12 months,,,1.0.0,,continuous,,,,,Standardized Z score fine motor at 12 months,,,,, -GenR,core,std_fm18,Standardized 100 mean and 15 std fine motor 18 months,,,1.0.0,,continuous,,,,,Standardized Z score fine motor at 18 months,,,,, -GenR,core,raw_ADHD,raw sumscore of ADHD in conners scale,,,1.0.0,,continuous,,,,,raw sumscore of ADHD in conners scale,,,,, -GenR,core,raw_asd,raw complete sumscore of asd in SRS scale,,,1.0.0,,continuous,,,,,Raw score of sumscore of SRS,,,,, -GenR,core,raw_fm12,total score fine motor of Infant/Child Development Inventory measured at 12 months,,,1.0.0,,continuous,,,,,Raw sumscore fine motor at 12 months,,,,, -GenR,core,raw_fm18,total score fine motor of Child Development Inventory measured at 18 months,,,1.0.0,,continuous,,,,,Raw sumscore fine motor at 18 months,,,,, -GenR,core,raw_fm24,total score fine motor of Child Development Inventory measured at 24 months,,,1.0.0,,continuous,,,,,Raw sumscore fine motor at 24 months,,,,, -GenR,core,raw_fm6,total score fine motor of Infant/Child Development Inventory measured at 6 months,,,1.0.0,,continuous,,,,,Raw sumscore fine motor at 6 months,,,,, -GenR,core,raw_gm12,total score gross motor of Infant/Child Development Inventory measured at 12 months,,,1.0.0,,continuous,,,,,Raw sumscore gross motor at 12 months,,,,, -GenR,core,raw_gm18,total score gross motor of Child Development Inventory measured at 18 months,,,1.0.0,,continuous,,,,,Raw sumscore gross motor at 18 months,,,,, -GenR,core,raw_gm24,total score gross motor of Child Development Inventory measured at 24 months,,,1.0.0,,continuous,,,,,Raw sumscore gross motor at 24 months,,,,, -GenR,core,std_fm24,Standardized 100 mean and 15 std fine motor 24 months,,,1.0.0,,continuous,,,,,Standardized Z score fine motor at 24 months,,,,, -GenR,core,std_fm6,Standardized 100 mean and 15 std fine motor 6 months,,,1.0.0,,continuous,,,,,Standardized Z score fine motor at 6 months,,,,, -GenR,core,std_gm12,Standardized 100 mean and 15 std gross motor 12 months,,,1.0.0,,continuous,,,,,Standardized Z score gross motor at 12 months,,,,, -GenR,core,std_gm18,Standardized 100 mean and 15 std gross motor 18 months,,,1.0.0,,continuous,,,,,Standardized Z score gross motor at 18 months,,,,, -GenR,core,std_gm24,Standardized 100 mean and 15 std gross motor 24 months,,,1.0.0,,continuous,,,,,Standardized Z score gross motor at 24 months,,,,, -GenR,core,std_gm6,Standardized 100 mean and 15 std gross motor 6 months,,,1.0.0,,continuous,,,,,Standardized Z score gross motor at 6 months,,,,, -GenR,core,stdprodvoc,Standardized score prodvoc,,,1.0.0,,continuous,,,,,Standardized score of sumscore,,,,, -GenR,core,sum_ADHD,weighted sumscore of ADHD in conners scale,,,1.0.0,,continuous,,,,,weighted sumscore of ADHD in conners scale,,,,, -GenR,core,sum_ext,weighted score externalizing scale,,,1.0.0,,continuous,,,,,Weighted sumscore of externalizing symptoms reported by mothers,,,,, -GenR,core,sum_ext_36m,weighted sumscore externalizing scale_3 yrs_mother report,,,1.0.0,,continuous,,,,,Weighted sumscore of externalizing symptoms reported by mothers,,,,, -GenR,core,sum_ext_5,weighted sumscore externalizing problems_5 yrs report,,,1.0.0,,continuous,,,,,Weighted sumscore of externalizing symptoms reported by mothers,,,,, -GenR,core,sum_ext_9m,weighted sumscore externalizing scale_9 yrs mother report,,,1.0.0,,continuous,,,,,Weighted sumscore of externalizing symptoms reported by mothers,,,,, -GenR,core,sum_int,weighted score internalizing scale,,,1.0.0,,continuous,,,,,Weighted sumscore of internalizing symptoms reported by mothers,,,,, -GenR,core,sum_int_36m,weighted sumscore internalizing scale_3 yrs_mother report,,,1.0.0,,continuous,,,,,Weighted sumscore of internalizing symptoms reported by mothers,,,,, -GenR,core,sum_int_5,weighted sumscore internalzing problems_5 yrs report,,,1.0.0,,continuous,,,,,Weighted sumscore of internalizing symptoms reported by mothers,,,,, -GenR,core,sum_int_9m,weighted sumscore internalizing scale_9 yrs mother report,,,1.0.0,,continuous,,,,,Weighted sumscore of internalizing symptoms reported by mothers,,,,, -GenR,core,sun_int_5,weighted sumscore internalzing problems_5 yrs report,,,1.0.0,,continuous,,,,,Weighted sumscore of internalizing symptoms reported by mothers,,,,, -GenR,core,tei_item_sum,Total protein intake/day (g),,,1.0.0,,continuous,gram_per_day,,,,Total protein intake,,,,, -GenR,core,tkh_item_sum,Total carbohydrates intake/day (g),,,1.0.0,,continuous,gram_per_day,,,,Total carbohydrate intake,,,,, -GenR,core,tv_item_sum,Total protein intake/day (g),,,1.0.0,,continuous,gram_per_day,,,,Total fat intake,,,,, -GenR,core,versie,Voeding - versienummer vragenlijst,,,1.0.0,,categorical,,,,,Indicates which version of the FFQ was received,,,,, -GenR,core,vet,vet totaal (g),,,1.0.0,,continuous,gram_per_day,,,,Total fat intake,,,,, -GenR,core,vet_mov,meerv. onverz. vet (g),,,1.0.0,,continuous,gram_per_day,,,,Polyunsaturated fat inake,,,,, -GenR,core,vet_vv,verzadigd vet (g),,,1.0.0,,continuous,gram_per_day,,,,Saturated fat intake,,,,, -GenR,core,vituse,GR1001 E2-1 Have you taken vitamins or compounds_past 6 months (cleaned e0200101=vituse),,,1.0.0,,categorical,,,,,Intake of vitamins or compounds,,,,, -GenR,core,vvz_item_sum,Total saturated fat intake/day (g),,,1.0.0,,continuous,gram_per_day,,,,Saturated fat intake,,,,, -GenR,core,weight5child,F@5 GROWTH - child: weight (kg) (weight5child),,,1.0.0,,continuous,kg,,,,Weight child weight 5 years,,,,, -GenR,core,weight_CB02m,weight_CB02m: Weight child 2 months,,,1.0.0,,continuous,gram,,,,Weight child 2 months,,,,, -GenR,core,weight_CB03m,Weight child 3 months,,,1.0.0,,continuous,gram,,,,Weight child 3 months,,,,, -GenR,core,weight_CB04m,Weight child 4 months,,,1.0.0,,continuous,gram,,,,Weight child 4 months,,,,, -GenR,core,weight_CB05t10m,Weight child 5-10 months,,,1.0.0,,continuous,gram,,,,Weight child 5-10 months,,,,, -GenR,core,weight_CB0t2m,weight_CB0t2m: Weight child 0-2 months,,,1.0.0,,continuous,gram,,,,Weight child 0-2 months,,,,, -GenR,core,weight_CB10t13m,Weight child 10-13 months,,,1.0.0,,continuous,gram,,,,Weight child 10-13 months,,,,, -GenR,core,weight_CB13t17m,Weight child 13-17 months,,,1.0.0,,continuous,gram,,,,Weight child 13-17 months,,,,, -GenR,core,weight_CB17t23m,Weight child 17-23 months,,,1.0.0,,continuous,gram,,,,Weight child 17-23 months,,,,, -GenR,core,weight_CB23t29m,Weight child 23-29 months,,,1.0.0,,continuous,gram,,,,Weight child 23-29 months,,,,, -GenR,core,weight_CB23t35m,Weight child 23-35 months,,,1.0.0,,continuous,gram,,,,Weight child 23-35 months,,,,, -GenR,core,weight_CB29t35m,Weight child 29-35 months,,,1.0.0,,continuous,gram,,,,Weight child 29-35 months,,,,, -GenR,core,weight_CB35t44m,Weight child 35-44 months,,,1.0.0,,continuous,gram,,,,Weight child 35-44 months,,,,, -GenR,core,weight_CB44t56m,Weight child 44-56 months,,,1.0.0,,continuous,gram,,,,Weight child 44-56 months,,,,, -GenR,core,weight_p,weight_p,,,1.0.0,,continuous,kg,,,,Weight of partner,,,,, -GenR,core,weightchild9,F9 GROWTH - child: weight (kg) (weightchild9),,,1.0.0,,continuous,kg,,,,Weight child 9 years,,,,, -GenR,core,werkmoed,GR1005 D3-6 Workstatus moeder: D1 complemented with text field (werkmoed),,,1.0.0,,categorical,,,,,Workstatus mother,,,,, -GenR,core,whe_1y,Has your child ever suffered from wheezing/whistling noise in the chest?,,,1.0.0,,categorical,,,,,Wheezing in the first year of life,,,,, -GenR,core,whe_2y,Has your child had wheezing in the past 12 months?,,,1.0.0,,categorical,,,,,Wheezing in the past 12 months at age 2 years,,,,, -GenR,core,whe_3y,Has your child had wheezing in the past 12 months?,,,1.0.0,,categorical,,,,,Wheezing in the past 12 months at age 3 years,,,,, -GenR,core,whe_4y,Has your child had wheezing in the past 12 months?,,,1.0.0,,categorical,,,,,Wheezing in the past 12 months at age 4 years,,,,, -GenR,core,whe_5y,Has your child had wheezing in the past 12 months?,,,1.0.0,,categorical,,,,,Wheezing in the past 12 months at age 5-6 years,,,,, -GenR,core,whe_9y,Wheezing in the chest in the last 12 months at age 9 years,,,1.0.0,,categorical,,,,,Wheezing in the chest in the last 12 months at age 9 years,,,,, -GenR,core,yob_fa,Year of birth father,,,1.0.0,,continuous,year,,,,Year of birth of the father in four digits,,,,, -GenR,core,yob_mo,Year of birth mother,,,1.0.0,,continuous,year,,,,Year of birth of the mother in four digits,,,,, -GenR,core,rash_5y,"itchy rash age 5 years (49-60m), y/n",,,1.0.0,,categorical,,,,,Intermittent itchy skin rash in the past 12 months?,,,,, -GenR,core,hc_CB23t29m,Head Circumference child 23-29 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 23-29 months,,,,, -GenR,core,hc_CB23t35m,Head Circumference child 23-35 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 23-35 months,,,,, -GenR,core,rash_6m,"itchy rash age 6 months (0-6m), y/n",,,1.0.0,,categorical,,,,,Ever (i.e. last 6 months) itchy rash? (0= no; 1= yes),,,,, -GenR,core,rashloc_1y,"Itchy rash on inner elbows, back of knees, upper side of ankles, nappy area, neck or around eyes/ears",,,1.0.0,,categorical,,,,,"On what areas did this itchy rash ever appear? (inner elbow, back of the knee, upper side of the ankles, in the nappy area, on the neck, round the eyes or ears, on the hairy part of the head, other or none of these areas)",,,,, -GenR,core,rashloc_2y,"Itchy rash on inner elbows, back of knees, upper side of ankles, nappy area, neck or around eyes/ears",,,1.0.0,,categorical,,,,,"On what areas did this itchy rash appear? (inner elbow, back of the knee, upper side of the ankles, in the nappy area, on the neck, round the eyes or ears, on the hairy part of the head, other or none of these areas)",,,,, -GenR,core,natrium,natrium (mg),,,1.0.0,,continuous,milligram_per_day,,,,Sodium intake,,,,, -GenR,core,zfef75,"Forced Expiratory Flow after exhaling 75% of FVC, z-score according to GLI reference criteria",,,1.0.0,,continuous,,,,,"Forced Expiratory Flow after exhaling 75% of FVC, z-score according to GLI reference criteria",,,,, -GenR,core,zfev,"Forced Expiratotory Volume in the first second, z-score according to GLI reference criteria",,,1.0.0,,continuous,,,,,"Forced Expiratotory Volume in the first second, z-score according to GLI reference criteria",,,,, -GenR,core,zfevfvc,"Forced Expiratotory Volume in the first second/Forced Vital Capacity, z-score according to GLI reference data",,,1.0.0,,continuous,,,,,"Forced Expiratotory Volume in the first second/Forced Vital Capacity, z-score according to GLI reference data",,,,, -GenR,core,zfvc,"Forced Vital Capacity, z-score according to GLI reference criteria",,,1.0.0,,continuous,,,,,"Forced Vital Capacity, z-score according to GLI reference criteria",,,,, -GenR,core,raw_gm6,total score gross motor of Infant/Child Development Inventory measured at 6 months,,,1.0.0,,continuous,,,,,Raw sumscore gross motor at 6 months,,,,, -GenR,core,repro_LF_9y,Reproducibility according to ATS/ERS guidelines,,,1.0.0,,categorical,,,,,Reproducibility according to ATS/ERS guidelines,,,,, -GenR,core,seizoen_inv_GR1067,Indicates the season of filling the 4-yo questionnaire,,,1.0.0,,categorical,,,,,Indicates the season of filling the 4-yo questionnaire,,,,, -GenR,core,smk1_original,smoking 1st trimester complete,,,1.0.0,,categorical,,,,,Indicates the number of cigarettes the mother smoked per day during the first trimester,,,,, -GenR,core,smk2_original,smoking 2nd trimester complete,,,1.0.0,,categorical,,,,,Indicates the number of cigarettes the mother smoked per day during the second trimester,,,,, -GenR,core,smk3_original,smoking 3rd trimester complete,,,1.0.0,,categorical,,,,,Indicates the number of cigarettes the mother smoked per day during the third trimester,,,,, -GenR,core,srs_weighted,srs weighted total score 25% missings allowed,,,1.0.0,,continuous,,,,,this is the same as the average item scale,,,,, -testNetwork1_CDM,cdm_1,testVarLang1,test variable with keyword language,,,,,integer,,,,,,,,Language,, -testNetwork1_CDM,cdm_1,testVarLang2,test variable with keyword language and no mappings,,,,,integer,,,,,,,,Language,, -testNetwork1_CDM,cdm_1,testVarLang3Vir1,test variable with keywords Language and Virology,,,,,integer,,,,,,,,"Language,Virology",, -testNetwork1_CDM,cdm_1,testVarVir2,test variable with keyword Virology,,,,,integer,,,,,,,,Virology,, -testCohort1,test dataset for testCohort1,var1,variable 1,,,,,continuous,pmol/L,,,,,,,,, -testCohort1,test dataset for testCohort1,var10,variable 10,,,,,continuous,pmol/L,,,,,,,,, -testCohort1,test dataset for testCohort1,var11,variable 11,,,,,integer,,,,,,,,,, -testCohort1,test dataset for testCohort1,var2,variable 2,,,,,continuous,pmol/L,,,,,,,,, -testCohort1,test dataset for testCohort1,var3,variable 3,,,,,continuous,pmol/L,,,,,,,,, -testCohort1,test dataset for testCohort1,var4,variable 4,,,,,continuous,pmol/L,,,,,,,,, -testCohort1,test dataset for testCohort1,var5,variable 5,,,,,continuous,pmol/L,,,,,,,,, -testCohort1,test dataset for testCohort1,var6,variable 6,,,,,continuous,pmol/L,,,,,,,,, -testCohort1,test dataset for testCohort1,var7,variable 7,,,,,continuous,pmol/L,,,,,,,,, -testCohort1,test dataset for testCohort1,var8,variable 8,,,,,continuous,pmol/L,,,,,,,,, -testCohort1,test dataset for testCohort1,var9,variable 9,,,,,continuous,pmol/L,,,,,,,,, -testCohort2,test dataset for testCohort2,var1,variable 1,,,,,continuous,pmol/L,,,,,,,,, -testCohort2,test dataset for testCohort2,var10,variable 10,,,,,continuous,pmol/L,,,,,,,,, -testCohort2,test dataset for testCohort2,var11,variable 11,,,,,integer,,,,,,,,,, -testCohort2,test dataset for testCohort2,var2,variable 2,,,,,continuous,pmol/L,,,,,,,,, -testCohort2,test dataset for testCohort2,var3,variable 3,,,,,continuous,pmol/L,,,,,,,,, -testCohort2,test dataset for testCohort2,var4,variable 4,,,,,continuous,pmol/L,,,,,,,,, -testCohort2,test dataset for testCohort2,var5,variable 5,,,,,continuous,pmol/L,,,,,,,,, -testCohort2,test dataset for testCohort2,var6,variable 6,,,,,continuous,pmol/L,,,,,,,,, -testCohort2,test dataset for testCohort2,var7,variable 7,,,,,continuous,pmol/L,,,,,,,,, -testCohort2,test dataset for testCohort2,var8,variable 8,,,,,continuous,pmol/L,,,,,,,,, -testCohort2,test dataset for testCohort2,var9,variable 9,,,,,continuous,pmol/L,,,,,,,,, -testCohort3,test dataset for testCohort3,var1,variable 1,,,,,continuous,pmol/L,,,,,,,,, -testCohort3,test dataset for testCohort3,var10,variable 10,,,,,continuous,pmol/L,,,,,,,,, -testCohort3,test dataset for testCohort3,var11,variable 11,,,,,integer,,,,,,,,,, -testCohort3,test dataset for testCohort3,var2,variable 2,,,,,continuous,pmol/L,,,,,,,,, -testCohort3,test dataset for testCohort3,var3,variable 3,,,,,continuous,pmol/L,,,,,,,,, -testCohort3,test dataset for testCohort3,var4,variable 4,,,,,continuous,pmol/L,,,,,,,,, -testCohort3,test dataset for testCohort3,var5,variable 5,,,,,continuous,pmol/L,,,,,,,,, -testCohort3,test dataset for testCohort3,var6,variable 6,,,,,continuous,pmol/L,,,,,,,,, -testCohort3,test dataset for testCohort3,var7,variable 7,,,,,continuous,pmol/L,,,,,,,,, -testCohort3,test dataset for testCohort3,var8,variable 8,,,,,continuous,pmol/L,,,,,,,,, -testCohort3,test dataset for testCohort3,var9,variable 9,,,,,continuous,pmol/L,,,,,,,,, -testCohort4,test dataset for testCohort4,var1,variable 1,,,,,continuous,pmol/L,,,,,,,,, -testCohort4,test dataset for testCohort4,var10,variable 10,,,,,continuous,pmol/L,,,,,,,,, -testCohort4,test dataset for testCohort4,var11,variable 11,,,,,integer,,,,,,,,,, -testCohort4,test dataset for testCohort4,var2,variable 2,,,,,continuous,pmol/L,,,,,,,,, -testCohort4,test dataset for testCohort4,var3,variable 3,,,,,continuous,pmol/L,,,,,,,,, -testCohort4,test dataset for testCohort4,var4,variable 4,,,,,continuous,pmol/L,,,,,,,,, -testCohort4,test dataset for testCohort4,var5,variable 5,,,,,continuous,pmol/L,,,,,,,,, -testCohort4,test dataset for testCohort4,var6,variable 6,,,,,continuous,pmol/L,,,,,,,,, -testCohort4,test dataset for testCohort4,var7,variable 7,,,,,continuous,pmol/L,,,,,,,,, -testCohort4,test dataset for testCohort4,var8,variable 8,,,,,continuous,pmol/L,,,,,,,,, -testCohort4,test dataset for testCohort4,var9,variable 9,,,,,continuous,pmol/L,,,,,,,,, -testNetwork1_CDM,cdm_1,testVarRepeats_,test variable with repeats,,,,,continuous,pmol/L,,,,,,,ADHD symptoms,, -testNetwork1_CDM,cdm_1,testVarRep-with-looong-name_,"test variable with repeats, a long name to test bubble split over 2 lines, and no keywords or mappings",,,,,integer,,,,,,,,,, -testNetwork1_CDM,cdm_1,testVarCategorical_,categorical test variable,,,,,categorical,,,,,,,,Language,, -testNetwork1_CDM,cdm_1,testVarNoRepeats,test variable without repeats,,,,,integer,,,,,,,,"ADHD symptoms,Language",, +According to the manual of the BSI, a validated cut-offs were used to determine clinically relevant symptoms vs. no symptoms in the global scale and subscales. These were not the same for women and men, thus sex-specific cut-offs were used.",,,,,,False,,,,, +GenR,core,d2000101,Do you have chronic eczema?,,,1.0.0,,categorical,,,,,Maternal eczema,,,,,,False,,,,, +GenR,core,d2800101,GR1001 D28-1 Have you ever had asthma (d2800101),,,1.0.0,,categorical,,,,,Indicates whether the mother has asthma,,,,,,False,,,,, +GenR,core,d2800201,GR1001 D28-2 Was asthma confirmed by a doctor (d2800201),,,1.0.0,,categorical,,,,,Indicates whether asthma (if question on asthma is yes) was confirmed by a doctor,,,,,,False,,,,, +GenR,core,d2900101,GR1001 D29-1 Are you allergic to housedust (d2900101),,,1.0.0,,categorical,,,,,House dust allergy of the mother,,,,,,False,,,,, +GenR,core,ecz9y,Physician attended eczema in the past 12 months,,,1.0.0,,categorical,,,,,Doctor attended eczema in the past 12 months,,,,,,False,,,,, +GenR,core,eiwit_en,eiwit totaal (en%),,,1.0.0,,continuous,percent,,,,Total protein intake - energy %,,,,,,False,,,,, +GenR,core,d2900201,GR1001 D29-2 Was housedust allergy confirmed by a doctor (d2900201),,,1.0.0,,categorical,,,,,Diagnosis of house dust allergy of the mother by a doctor,,,,,,False,,,,, +GenR,core,d3000101,GR1001 D30-1 Are you allergic to the housedust mite (d3000101),,,1.0.0,,categorical,,,,,House dust mite allergy of the mother,,,,,,False,,,,, +GenR,core,ethn1_p,best estimate is equal to ethn1_p,,,1.0.0,,categorical,,,,,(Ethnic) background of mother based on country of origin (of parents),,,,,,False,,,,, +GenR,core,d3000201,GR1001 D30-2 Was housedust mite allergy confirmed by a doctor (d3000201),,,1.0.0,,categorical,,,,,Diagnosis of house dust mite allergy of the mother by a doctor,,,,,,False,,,,, +GenR,core,d3100101,GR1001 D31-1 Do you have any kind of nose allergy such as hay fever (d3100101),,,1.0.0,,categorical,,,,,"Nose allergy, such as hay fever of the mother",,,,,,False,,,,, +GenR,core,d3100201,GR1001 D31-2 Was nose allergy confirmed by a doctor (d3100201),,,1.0.0,,categorical,,,,,"Diagnosis of nose allergy, such as hay fever, of the mother by a doctor",,,,,,False,,,,, +GenR,core,dep_M108_m,Depression Mother 108 Months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,dep_M108_p,Depression Partner 108 Months,,,1.0.0,,continuous,,,,,"At 9-10 years, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,dep_M36_m,Depression Mother 36 Months,,,1.0.0,,continuous,,,,,"At 36 months, an abbreviated version of the BSI was assesed in mothers and fathers (only 4 subscales were assessed); and thus no global score was available. This shortened version only consisted of depression, anxiety, hostility and interpersonanl sensitivity.",,,,,,False,,,,, +GenR,core,vet_en,vet totaal (en%),,,1.0.0,,continuous,percent,,,,Total fat intake - energy %,,,,,,False,,,,, +GenR,core,std_fm12,Standardized 100 mean and 15 std fine motor 12 months,,,1.0.0,,continuous,,,,,Standardized Z score fine motor at 12 months,,,,,,False,,,,, +GenR,core,std_fm18,Standardized 100 mean and 15 std fine motor 18 months,,,1.0.0,,continuous,,,,,Standardized Z score fine motor at 18 months,,,,,,False,,,,, +GenR,core,raw_ADHD,raw sumscore of ADHD in conners scale,,,1.0.0,,continuous,,,,,raw sumscore of ADHD in conners scale,,,,,,False,,,,, +GenR,core,raw_asd,raw complete sumscore of asd in SRS scale,,,1.0.0,,continuous,,,,,Raw score of sumscore of SRS,,,,,,False,,,,, +GenR,core,raw_fm12,total score fine motor of Infant/Child Development Inventory measured at 12 months,,,1.0.0,,continuous,,,,,Raw sumscore fine motor at 12 months,,,,,,False,,,,, +GenR,core,raw_fm18,total score fine motor of Child Development Inventory measured at 18 months,,,1.0.0,,continuous,,,,,Raw sumscore fine motor at 18 months,,,,,,False,,,,, +GenR,core,raw_fm24,total score fine motor of Child Development Inventory measured at 24 months,,,1.0.0,,continuous,,,,,Raw sumscore fine motor at 24 months,,,,,,False,,,,, +GenR,core,raw_fm6,total score fine motor of Infant/Child Development Inventory measured at 6 months,,,1.0.0,,continuous,,,,,Raw sumscore fine motor at 6 months,,,,,,False,,,,, +GenR,core,raw_gm12,total score gross motor of Infant/Child Development Inventory measured at 12 months,,,1.0.0,,continuous,,,,,Raw sumscore gross motor at 12 months,,,,,,False,,,,, +GenR,core,raw_gm18,total score gross motor of Child Development Inventory measured at 18 months,,,1.0.0,,continuous,,,,,Raw sumscore gross motor at 18 months,,,,,,False,,,,, +GenR,core,raw_gm24,total score gross motor of Child Development Inventory measured at 24 months,,,1.0.0,,continuous,,,,,Raw sumscore gross motor at 24 months,,,,,,False,,,,, +GenR,core,std_fm24,Standardized 100 mean and 15 std fine motor 24 months,,,1.0.0,,continuous,,,,,Standardized Z score fine motor at 24 months,,,,,,False,,,,, +GenR,core,std_fm6,Standardized 100 mean and 15 std fine motor 6 months,,,1.0.0,,continuous,,,,,Standardized Z score fine motor at 6 months,,,,,,False,,,,, +GenR,core,std_gm12,Standardized 100 mean and 15 std gross motor 12 months,,,1.0.0,,continuous,,,,,Standardized Z score gross motor at 12 months,,,,,,False,,,,, +GenR,core,std_gm18,Standardized 100 mean and 15 std gross motor 18 months,,,1.0.0,,continuous,,,,,Standardized Z score gross motor at 18 months,,,,,,False,,,,, +GenR,core,std_gm24,Standardized 100 mean and 15 std gross motor 24 months,,,1.0.0,,continuous,,,,,Standardized Z score gross motor at 24 months,,,,,,False,,,,, +GenR,core,std_gm6,Standardized 100 mean and 15 std gross motor 6 months,,,1.0.0,,continuous,,,,,Standardized Z score gross motor at 6 months,,,,,,False,,,,, +GenR,core,stdprodvoc,Standardized score prodvoc,,,1.0.0,,continuous,,,,,Standardized score of sumscore,,,,,,False,,,,, +GenR,core,sum_ADHD,weighted sumscore of ADHD in conners scale,,,1.0.0,,continuous,,,,,weighted sumscore of ADHD in conners scale,,,,,,False,,,,, +GenR,core,sum_ext,weighted score externalizing scale,,,1.0.0,,continuous,,,,,Weighted sumscore of externalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,sum_ext_36m,weighted sumscore externalizing scale_3 yrs_mother report,,,1.0.0,,continuous,,,,,Weighted sumscore of externalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,sum_ext_5,weighted sumscore externalizing problems_5 yrs report,,,1.0.0,,continuous,,,,,Weighted sumscore of externalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,sum_ext_9m,weighted sumscore externalizing scale_9 yrs mother report,,,1.0.0,,continuous,,,,,Weighted sumscore of externalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,sum_int,weighted score internalizing scale,,,1.0.0,,continuous,,,,,Weighted sumscore of internalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,sum_int_36m,weighted sumscore internalizing scale_3 yrs_mother report,,,1.0.0,,continuous,,,,,Weighted sumscore of internalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,sum_int_5,weighted sumscore internalzing problems_5 yrs report,,,1.0.0,,continuous,,,,,Weighted sumscore of internalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,sum_int_9m,weighted sumscore internalizing scale_9 yrs mother report,,,1.0.0,,continuous,,,,,Weighted sumscore of internalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,sun_int_5,weighted sumscore internalzing problems_5 yrs report,,,1.0.0,,continuous,,,,,Weighted sumscore of internalizing symptoms reported by mothers,,,,,,False,,,,, +GenR,core,tei_item_sum,Total protein intake/day (g),,,1.0.0,,continuous,gram_per_day,,,,Total protein intake,,,,,,False,,,,, +GenR,core,tkh_item_sum,Total carbohydrates intake/day (g),,,1.0.0,,continuous,gram_per_day,,,,Total carbohydrate intake,,,,,,False,,,,, +GenR,core,tv_item_sum,Total protein intake/day (g),,,1.0.0,,continuous,gram_per_day,,,,Total fat intake,,,,,,False,,,,, +GenR,core,versie,Voeding - versienummer vragenlijst,,,1.0.0,,categorical,,,,,Indicates which version of the FFQ was received,,,,,,False,,,,, +GenR,core,vet,vet totaal (g),,,1.0.0,,continuous,gram_per_day,,,,Total fat intake,,,,,,False,,,,, +GenR,core,vet_mov,meerv. onverz. vet (g),,,1.0.0,,continuous,gram_per_day,,,,Polyunsaturated fat inake,,,,,,False,,,,, +GenR,core,vet_vv,verzadigd vet (g),,,1.0.0,,continuous,gram_per_day,,,,Saturated fat intake,,,,,,False,,,,, +GenR,core,vituse,GR1001 E2-1 Have you taken vitamins or compounds_past 6 months (cleaned e0200101=vituse),,,1.0.0,,categorical,,,,,Intake of vitamins or compounds,,,,,,False,,,,, +GenR,core,vvz_item_sum,Total saturated fat intake/day (g),,,1.0.0,,continuous,gram_per_day,,,,Saturated fat intake,,,,,,False,,,,, +GenR,core,weight5child,F@5 GROWTH - child: weight (kg) (weight5child),,,1.0.0,,continuous,kg,,,,Weight child weight 5 years,,,,,,False,,,,, +GenR,core,weight_CB02m,weight_CB02m: Weight child 2 months,,,1.0.0,,continuous,gram,,,,Weight child 2 months,,,,,,False,,,,, +GenR,core,weight_CB03m,Weight child 3 months,,,1.0.0,,continuous,gram,,,,Weight child 3 months,,,,,,False,,,,, +GenR,core,weight_CB04m,Weight child 4 months,,,1.0.0,,continuous,gram,,,,Weight child 4 months,,,,,,False,,,,, +GenR,core,weight_CB05t10m,Weight child 5-10 months,,,1.0.0,,continuous,gram,,,,Weight child 5-10 months,,,,,,False,,,,, +GenR,core,weight_CB0t2m,weight_CB0t2m: Weight child 0-2 months,,,1.0.0,,continuous,gram,,,,Weight child 0-2 months,,,,,,False,,,,, +GenR,core,weight_CB10t13m,Weight child 10-13 months,,,1.0.0,,continuous,gram,,,,Weight child 10-13 months,,,,,,False,,,,, +GenR,core,weight_CB13t17m,Weight child 13-17 months,,,1.0.0,,continuous,gram,,,,Weight child 13-17 months,,,,,,False,,,,, +GenR,core,weight_CB17t23m,Weight child 17-23 months,,,1.0.0,,continuous,gram,,,,Weight child 17-23 months,,,,,,False,,,,, +GenR,core,weight_CB23t29m,Weight child 23-29 months,,,1.0.0,,continuous,gram,,,,Weight child 23-29 months,,,,,,False,,,,, +GenR,core,weight_CB23t35m,Weight child 23-35 months,,,1.0.0,,continuous,gram,,,,Weight child 23-35 months,,,,,,False,,,,, +GenR,core,weight_CB29t35m,Weight child 29-35 months,,,1.0.0,,continuous,gram,,,,Weight child 29-35 months,,,,,,False,,,,, +GenR,core,weight_CB35t44m,Weight child 35-44 months,,,1.0.0,,continuous,gram,,,,Weight child 35-44 months,,,,,,False,,,,, +GenR,core,weight_CB44t56m,Weight child 44-56 months,,,1.0.0,,continuous,gram,,,,Weight child 44-56 months,,,,,,False,,,,, +GenR,core,weight_p,weight_p,,,1.0.0,,continuous,kg,,,,Weight of partner,,,,,,False,,,,, +GenR,core,weightchild9,F9 GROWTH - child: weight (kg) (weightchild9),,,1.0.0,,continuous,kg,,,,Weight child 9 years,,,,,,False,,,,, +GenR,core,werkmoed,GR1005 D3-6 Workstatus moeder: D1 complemented with text field (werkmoed),,,1.0.0,,categorical,,,,,Workstatus mother,,,,,,False,,,,, +GenR,core,whe_1y,Has your child ever suffered from wheezing/whistling noise in the chest?,,,1.0.0,,categorical,,,,,Wheezing in the first year of life,,,,,,False,,,,, +GenR,core,whe_2y,Has your child had wheezing in the past 12 months?,,,1.0.0,,categorical,,,,,Wheezing in the past 12 months at age 2 years,,,,,,False,,,,, +GenR,core,whe_3y,Has your child had wheezing in the past 12 months?,,,1.0.0,,categorical,,,,,Wheezing in the past 12 months at age 3 years,,,,,,False,,,,, +GenR,core,whe_4y,Has your child had wheezing in the past 12 months?,,,1.0.0,,categorical,,,,,Wheezing in the past 12 months at age 4 years,,,,,,False,,,,, +GenR,core,whe_5y,Has your child had wheezing in the past 12 months?,,,1.0.0,,categorical,,,,,Wheezing in the past 12 months at age 5-6 years,,,,,,False,,,,, +GenR,core,whe_9y,Wheezing in the chest in the last 12 months at age 9 years,,,1.0.0,,categorical,,,,,Wheezing in the chest in the last 12 months at age 9 years,,,,,,False,,,,, +GenR,core,yob_fa,Year of birth father,,,1.0.0,,continuous,year,,,,Year of birth of the father in four digits,,,,,,False,,,,, +GenR,core,yob_mo,Year of birth mother,,,1.0.0,,continuous,year,,,,Year of birth of the mother in four digits,,,,,,False,,,,, +GenR,core,rash_5y,"itchy rash age 5 years (49-60m), y/n",,,1.0.0,,categorical,,,,,Intermittent itchy skin rash in the past 12 months?,,,,,,False,,,,, +GenR,core,hc_CB23t29m,Head Circumference child 23-29 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 23-29 months,,,,,,False,,,,, +GenR,core,hc_CB23t35m,Head Circumference child 23-35 months,,,1.0.0,,continuous,cm,,,,Head Circumference child 23-35 months,,,,,,False,,,,, +GenR,core,rash_6m,"itchy rash age 6 months (0-6m), y/n",,,1.0.0,,categorical,,,,,Ever (i.e. last 6 months) itchy rash? (0= no; 1= yes),,,,,,False,,,,, +GenR,core,rashloc_1y,"Itchy rash on inner elbows, back of knees, upper side of ankles, nappy area, neck or around eyes/ears",,,1.0.0,,categorical,,,,,"On what areas did this itchy rash ever appear? (inner elbow, back of the knee, upper side of the ankles, in the nappy area, on the neck, round the eyes or ears, on the hairy part of the head, other or none of these areas)",,,,,,False,,,,, +GenR,core,rashloc_2y,"Itchy rash on inner elbows, back of knees, upper side of ankles, nappy area, neck or around eyes/ears",,,1.0.0,,categorical,,,,,"On what areas did this itchy rash appear? (inner elbow, back of the knee, upper side of the ankles, in the nappy area, on the neck, round the eyes or ears, on the hairy part of the head, other or none of these areas)",,,,,,False,,,,, +GenR,core,natrium,natrium (mg),,,1.0.0,,continuous,milligram_per_day,,,,Sodium intake,,,,,,False,,,,, +GenR,core,zfef75,"Forced Expiratory Flow after exhaling 75% of FVC, z-score according to GLI reference criteria",,,1.0.0,,continuous,,,,,"Forced Expiratory Flow after exhaling 75% of FVC, z-score according to GLI reference criteria",,,,,,False,,,,, +GenR,core,zfev,"Forced Expiratotory Volume in the first second, z-score according to GLI reference criteria",,,1.0.0,,continuous,,,,,"Forced Expiratotory Volume in the first second, z-score according to GLI reference criteria",,,,,,False,,,,, +GenR,core,zfevfvc,"Forced Expiratotory Volume in the first second/Forced Vital Capacity, z-score according to GLI reference data",,,1.0.0,,continuous,,,,,"Forced Expiratotory Volume in the first second/Forced Vital Capacity, z-score according to GLI reference data",,,,,,False,,,,, +GenR,core,zfvc,"Forced Vital Capacity, z-score according to GLI reference criteria",,,1.0.0,,continuous,,,,,"Forced Vital Capacity, z-score according to GLI reference criteria",,,,,,False,,,,, +GenR,core,raw_gm6,total score gross motor of Infant/Child Development Inventory measured at 6 months,,,1.0.0,,continuous,,,,,Raw sumscore gross motor at 6 months,,,,,,False,,,,, +GenR,core,repro_LF_9y,Reproducibility according to ATS/ERS guidelines,,,1.0.0,,categorical,,,,,Reproducibility according to ATS/ERS guidelines,,,,,,False,,,,, +GenR,core,seizoen_inv_GR1067,Indicates the season of filling the 4-yo questionnaire,,,1.0.0,,categorical,,,,,Indicates the season of filling the 4-yo questionnaire,,,,,,False,,,,, +GenR,core,smk1_original,smoking 1st trimester complete,,,1.0.0,,categorical,,,,,Indicates the number of cigarettes the mother smoked per day during the first trimester,,,,,,False,,,,, +GenR,core,smk2_original,smoking 2nd trimester complete,,,1.0.0,,categorical,,,,,Indicates the number of cigarettes the mother smoked per day during the second trimester,,,,,,False,,,,, +GenR,core,smk3_original,smoking 3rd trimester complete,,,1.0.0,,categorical,,,,,Indicates the number of cigarettes the mother smoked per day during the third trimester,,,,,,False,,,,, +GenR,core,srs_weighted,srs weighted total score 25% missings allowed,,,1.0.0,,continuous,,,,,this is the same as the average item scale,,,,,,False,,,,, +testCohort1,test dataset for testCohort1,var1,variable 1,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort1,test dataset for testCohort1,var10,variable 10,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort1,test dataset for testCohort1,var11,variable 11,,,,,integer,,,,,,,,,,,False,,,,, +testCohort1,test dataset for testCohort1,var2,variable 2,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort1,test dataset for testCohort1,var3,variable 3,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort1,test dataset for testCohort1,var4,variable 4,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort1,test dataset for testCohort1,var5,variable 5,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort1,test dataset for testCohort1,var6,variable 6,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort1,test dataset for testCohort1,var7,variable 7,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort1,test dataset for testCohort1,var8,variable 8,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort1,test dataset for testCohort1,var9,variable 9,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort2,test dataset for testCohort2,var1,variable 1,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort2,test dataset for testCohort2,var10,variable 10,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort2,test dataset for testCohort2,var11,variable 11,,,,,integer,,,,,,,,,,,False,,,,, +testCohort2,test dataset for testCohort2,var2,variable 2,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort2,test dataset for testCohort2,var3,variable 3,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort2,test dataset for testCohort2,var4,variable 4,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort2,test dataset for testCohort2,var5,variable 5,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort2,test dataset for testCohort2,var6,variable 6,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort2,test dataset for testCohort2,var7,variable 7,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort2,test dataset for testCohort2,var8,variable 8,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort2,test dataset for testCohort2,var9,variable 9,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort3,test dataset for testCohort3,var1,variable 1,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort3,test dataset for testCohort3,var10,variable 10,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort3,test dataset for testCohort3,var11,variable 11,,,,,integer,,,,,,,,,,,False,,,,, +testCohort3,test dataset for testCohort3,var2,variable 2,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort3,test dataset for testCohort3,var3,variable 3,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort3,test dataset for testCohort3,var4,variable 4,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort3,test dataset for testCohort3,var5,variable 5,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort3,test dataset for testCohort3,var6,variable 6,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort3,test dataset for testCohort3,var7,variable 7,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort3,test dataset for testCohort3,var8,variable 8,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort3,test dataset for testCohort3,var9,variable 9,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort4,test dataset for testCohort4,var1,variable 1,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort4,test dataset for testCohort4,var10,variable 10,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort4,test dataset for testCohort4,var11,variable 11,,,,,integer,,,,,,,,,,,False,,,,, +testCohort4,test dataset for testCohort4,var2,variable 2,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort4,test dataset for testCohort4,var3,variable 3,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort4,test dataset for testCohort4,var4,variable 4,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort4,test dataset for testCohort4,var5,variable 5,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort4,test dataset for testCohort4,var6,variable 6,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort4,test dataset for testCohort4,var7,variable 7,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort4,test dataset for testCohort4,var8,variable 8,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +testCohort4,test dataset for testCohort4,var9,variable 9,,,,,continuous,pmol/L,,,,,,,,,,False,,,,, +PELAGIE,pelagie_q2,B31,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B32,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,harmonized,ADHD_INSTR_14,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_instr_1 +PELAGIE,harmonized,aggr_eval_2,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,aggr_eval_1 +PELAGIE,harmonized,AGGR_EVAL_2,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,aggr_eval_1 +PELAGIE,harmonized,ADHD_EVAL_11,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_eval_1 +PELAGIE,harmonized,adhd_instr_2,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_instr_1 +PELAGIE,harmonized,ADHD_INSTR_2,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_instr_1 +PELAGIE,harmonized,INT_EVAL_8,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_eval_1 +PELAGIE,harmonized,int_eval_8,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_eval_1 +PELAGIE,harmonized,int_eval_3,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_eval_1 +PELAGIE,harmonized,INT_EVAL_3,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_eval_1 +PELAGIE,harmonized,int_eval_5,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_eval_1 +PELAGIE,harmonized,INT_EVAL_5,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_eval_1 +PELAGIE,harmonized,int_eval_6,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_eval_1 +PELAGIE,harmonized,INT_EVAL_6,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_eval_1 +PELAGIE,harmonized,int_eval_7,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_eval_1 +PELAGIE,harmonized,INT_EVAL_7,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_eval_1 +PELAGIE,harmonized,INT_INSTR_11,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,int_instr_12,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,INT_INSTR_12,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,int_instr_13,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,INT_INSTR_13,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,int_instr_14,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,INT_INSTR_14,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,int_instr_2,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,INT_INSTR_2,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,int_instr_3,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,INT_INSTR_3,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,int_instr_5,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,INT_INSTR_5,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,int_instr_6,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,INT_INSTR_6,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,int_instr_7,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,INT_INSTR_7,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,int_instr_8,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,harmonized,INT_INSTR_8,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,int_instr_1 +PELAGIE,pelagie_q2,B45,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,harmonized,adhd_eval_12,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_eval_1 +PELAGIE,harmonized,ADHD_EVAL_12,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_eval_1 +PELAGIE,harmonized,adhd_eval_13,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_eval_1 +PELAGIE,harmonized,ADHD_EVAL_13,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_eval_1 +PELAGIE,harmonized,adhd_eval_14,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_eval_1 +PELAGIE,harmonized,ADHD_EVAL_14,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_eval_1 +PELAGIE,harmonized,adhd_eval_2,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_eval_1 +PELAGIE,harmonized,ADHD_EVAL_2,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_eval_1 +PELAGIE,harmonized,adhd_eval_3,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_eval_1 +PELAGIE,harmonized,ADHD_EVAL_3,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,adhd_eval_1 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+PELAGIE,pelagie_q2,B64,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,B44,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,B77,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B81,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B85,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B89,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B93,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B97,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,b69,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,b73,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,b61,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,b65,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,b77,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,b81,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,b85,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,b89,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,b25,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,b37,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,b53,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,b93,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q6,QS6_B1_date_9_mois,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_date_4_mois +PELAGIE,pelagie_q6,QS6_B1_date_24_mois,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_date_4_mois +PELAGIE,pelagie_q6,QS6_B1_date_3_ans,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_date_4_mois +PELAGIE,pelagie_q6,QS6_B1_date_4_ans,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_date_4_mois +PELAGIE,pelagie_q6,QS6_B1_date_5_ans,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_date_4_mois +PELAGIE,pelagie_q6,QS6_B1_date_6_ans,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_date_4_mois +PELAGIE,pelagie_q6,QS6_B1_poids_9_mois,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_poids_4_mois +PELAGIE,pelagie_q6,QS6_B1_poids_24_mois,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_poids_4_mois +PELAGIE,pelagie_q6,QS6_B1_poids_3_ans,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_poids_4_mois +PELAGIE,pelagie_q6,QS6_B1_poids_4_ans,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_poids_4_mois +PELAGIE,pelagie_q6,QS6_B1_poids_5_ans,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_poids_4_mois +PELAGIE,pelagie_q6,QS6_B1_poids_6_ans,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_poids_4_mois +PELAGIE,pelagie_q6,QS6_B1_taille_9_mois,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_taille_4_mois +PELAGIE,pelagie_q6,QS6_B1_taille_24_mois,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_taille_4_mois +PELAGIE,pelagie_q6,QS6_B1_taille_3_ans,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_taille_4_mois +PELAGIE,pelagie_q6,QS6_B1_taille_4_ans,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_taille_4_mois +PELAGIE,pelagie_q2,B68,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q6,QS6_B1_taille_5_ans,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_taille_4_mois +PELAGIE,pelagie_q6,QS6_B1_taille_6_ans,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_taille_4_mois +PELAGIE,pelagie_q2,B25,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B37,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B53,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B61,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B65,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B69,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B73,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B98,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B99,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B100,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q6,QS6_B1_DATE_9_MOIS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_DATE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_DATE_24_MOIS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_DATE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_DATE_3_ANS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_DATE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_DATE_4_ANS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_DATE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_DATE_5_ANS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_DATE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_DATE_6_ANS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_DATE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_POIDS_9_MOIS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_POIDS_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_POIDS_24_MOIS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_POIDS_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_POIDS_3_ANS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_POIDS_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_POIDS_4_ANS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_POIDS_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_POIDS_5_ANS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_POIDS_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_POIDS_6_ANS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_POIDS_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_TAILLE_9_MOIS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_TAILLE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_TAILLE_24_MOIS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_TAILLE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_TAILLE_3_ANS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_TAILLE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_TAILLE_4_ANS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_TAILLE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_TAILLE_5_ANS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_TAILLE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_TAILLE_6_ANS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_TAILLE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_PERIMETRE_9_MOIS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_PERIMETRE_4_MOIS +PELAGIE,pelagie_q6,QS6_B1_PERIMETRE_24_MOIS,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q6,QS6_B1_PERIMETRE_4_MOIS +Sepages,base_respi_enfant_20210326,cy3haw1_q01,,Sepages,Y3,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q01 +Sepages,base_respi_enfant_20210326,cy2hai3_q02,,Sepages,Y2,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q02 +Sepages,base_respi_enfant_20210326,cy3haw1_q02,,Sepages,Y3,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q02 +Sepages,bdd_1a_v1_1,cy1eas2_q02,,Sepages,Y1,1.0.0,,,,,,,,,,,,,,,,,bdd_1a_v1_1,cy1eas1_q02 +Sepages,base_respi_enfant_20210326,cy2hai3_q01,,Sepages,Y2,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q01 +Sepages,base_respi_enfant_20210326,cy2hai3_q04,,Sepages,Y2,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q04 +Sepages,base_respi_enfant_20210326,cy3haw1_q04,,Sepages,Y3,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q04 +PELAGIE,pelagie_q2,b33,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +Sepages,base_respi_enfant_20210326,cy2hai3_q05,,Sepages,Y2,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q05 +Sepages,base_respi_enfant_20210326,cy3haw1_q05,,Sepages,Y3,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q05 +Sepages,base_respi_enfant_20210326,cy2hai3_q06,,Sepages,Y2,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q06 +Sepages,base_respi_enfant_20210326,cy2hai3_q07,,Sepages,Y3,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q07 +Sepages,base_respi_enfant_20210326,cy3haw1_q06,,Sepages,Y2,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q07 +Sepages,base_respi_enfant_20210326,cy2hai3_q08,,Sepages,Y2,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q08 +Sepages,base_respi_enfant_20210326,cy3haw1_q07,,Sepages,Y3,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q08 +Sepages,base_respi_enfant_20210326,cy2hai3_q09,,Sepages,Y2,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q09 +Sepages,base_respi_enfant_20210326,cy3haw1_q10,,Sepages,Y3,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q09 +Sepages,base_respi_enfant_20210326,cy2hai3_q11,,Sepages,Y2,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q11 +Sepages,base_respi_enfant_20210326,cy3haw1_q12,,Sepages,Y3,1.0.0,,,,,,,,,,,,,,,,,base_respi_enfant_20210326,cy1hai2_q11 +Sepages,Ultrasound_all_SLC_20220428_893,lcc_T1_2,,Sepages,Prenatal,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,lcc_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,lcc_T1_3,,Sepages,T1,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,lcc_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_2,,Sepages,T1,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_3,,Sepages,T1,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T2_2,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T2_3,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T2_4,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T3_2,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T3_3,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T3_4,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T3_5,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 +PELAGIE,pelagie_q2,B46,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_2,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_3,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T2_2,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T2_3,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T2_4,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T3_2,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T3_3,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T3_4,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T3_5,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_2,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 +PELAGIE,pelagie_q2,b55,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_3,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T2_2,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T2_3,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T2_4,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T3_2,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T3_3,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T3_4,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T3_5,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_2,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_3,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T2_2,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 +PELAGIE,pelagie_q2,B57,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T2_3,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T2_4,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T3_2,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T3_3,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T3_4,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T3_5,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T3_1,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T2_1,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_cranien_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T3_1,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T2_1,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,perimetre_abdominal_T1_1 +PELAGIE,harmonized,occup_f1_5,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,occup_f1_0 +PELAGIE,harmonized,OCCUP_F1_5,,,,1.0.0,,,,,,,,,,,,,,,,,harmonized,occup_f1_0 +Sepages,bdd_grossesse_v5_1,mt3haf1_q04,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,bdd_grossesse_v5_1,mt1haa1_q40p7 +Sepages,bdd_grossesse_v5_1,mt3haf1_q01,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,bdd_grossesse_v5_1,mt1haa1_q40p1 +Sepages,bdd_grossesse_v5_1,mt3haf1_q02,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,bdd_grossesse_v5_1,mt1haa1_q40p5 +Sepages,bdd_grossesse_v5_1,mt2ean2_q167p1,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,bdd_grossesse_v5_1,mt1ean1_q167p1 +Sepages,bdd_grossesse_v5_1,mt3ean3_q167p1,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,bdd_grossesse_v5_1,mt1ean1_q167p1 +Sepages,bdd_grossesse_v5_1,mt2ean2_q167p2,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,bdd_grossesse_v5_1,mt1ean1_q167p2 +Sepages,bdd_grossesse_v5_1,mt3ean3_q167p2,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,bdd_grossesse_v5_1,mt1ean1_q167p2 +Sepages,bdd_grossesse_v5_1,mt2ean2_q167p3,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,bdd_grossesse_v5_1,mt1ean1_q167p3 +Sepages,bdd_grossesse_v5_1,mt3ean3_q167p3,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,bdd_grossesse_v5_1,mt1ean1_q167p3 +Sepages,bdd_grossesse_v5_1,mt2ean2_q167p4,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,bdd_grossesse_v5_1,mt1ean1_q167p4 +Sepages,bdd_grossesse_v5_1,mt3ean3_q167p4,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,bdd_grossesse_v5_1,mt1ean1_q167p4 +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T3_1,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,longueur_femur_T2_1,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,longueur_femur_T1_1 +Sepages,bdd_2a_v_1_0,cy2eas3_q02,,Sepages,Y2,1.0.0,,,,,,,,,,,,,,,,,bdd_1a_v1_1,cy1eas1_q02 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T3_1,,Sepages,T3,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 +Sepages,Ultrasound_all_SLC_20220428_893,biometrie_bip_T2_1,,Sepages,T2,1.0.0,,,,,,,,,,,,,,,,,Ultrasound_all_SLC_20220428_893,biometrie_bip_T1_1 +PELAGIE,pelagie_q2,b59,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,B59,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,b58,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,B58,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,b57,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,B55,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B56,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,b49,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b21 +PELAGIE,pelagie_q2,b50,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b51,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,B49,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B50,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B51,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B33,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B21 +PELAGIE,pelagie_q2,B30,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,b30,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b31,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,B40,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,B52,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,B60,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,B72,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,B76,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,B80,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,B84,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,B88,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,B92,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,B96,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B24 +PELAGIE,pelagie_q2,b27,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b35,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b39,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b43,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b47,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b63,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b67,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b71,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b75,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b79,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b83,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b87,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b91,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,b95,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b23 +PELAGIE,pelagie_q2,B27,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B35,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B39,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B43,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B47,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B63,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B67,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B71,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B75,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B79,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B83,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B87,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B91,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B95,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B23 +PELAGIE,pelagie_q2,B26,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B34,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B38,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B42,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,b26,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b34,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b38,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b42,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b54,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b62,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b66,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b70,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b74,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b78,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b82,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b86,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b90,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,b94,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,b22 +PELAGIE,pelagie_q2,B54,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B62,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B66,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B70,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B74,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B78,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B82,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B86,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B90,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 +PELAGIE,pelagie_q2,B94,,,,1.0.0,,,,,,,,,,,,,,,,,pelagie_q2,B22 diff --git a/data/_models/shared/Collections.csv b/data/_models/shared/Collections.csv index a30c7ddd63..fdfc8de477 100644 --- a/data/_models/shared/Collections.csv +++ b/data/_models/shared/Collections.csv @@ -1,4 +1,4 @@ -tableName,tableExtends,columnName,columnType,key,required,refSchema,refTable,refLink,refBack,validation,semantics,description,profiles,comment +tableName,tableExtends,columnName,columnType,key,required,refSchema,refTable,refLink,refBack,validation,semantics,description,profiles Collections,,,,,,,,,,,"dcat:DatasetSeries,dcat:Dataset",Collection of data and/or samples. Use 'collection type' to specify,"DataCatalogueFlat,EMA,CohortsStaging,RWEStaging,NetworksStaging,StudiesStaging,UMCGCohortsStaging" Collections,,overview,heading,,,,,,,,,General information,"DataCatalogueFlat,EMA,CohortsStaging,RWEStaging,NetworksStaging,StudiesStaging,UMCGCohortsStaging" Collections,,id,,1,TRUE,,,,,,dct:identifier,Internal identifier,"DataCatalogueFlat,EMA,CohortsStaging,RWEStaging,NetworksStaging,StudiesStaging,UMCGCohortsStaging" @@ -7,7 +7,7 @@ Collections,,name,text,3,TRUE,,,,,,dct:title,Name used in international projects Collections,,local name,,,,,,,,,rdfs:label,"If different from above, name in the national language","DataCatalogueFlat,CohortsStaging,RWEStaging" Collections,,acronym,,,,,,,,,dct:alternative,"Acronym, if applicable","DataCatalogueFlat,EMA,CohortsStaging,RWEStaging,NetworksStaging,StudiesStaging,UMCGCohortsStaging" Collections,,type,ontology_array,,,CatalogueOntologies,Collection types FLAT,,,,,"Type of collection, e.g. registry, cohort, biobank","DataCatalogueFlat,CohortsStaging,RWEStaging,NetworksStaging,StudiesStaging,UMCGCohortsStaging" -Collections,,type other,,,,,,,,,,"If other, describe the type of collection","DataCatalogueFlat,EMA,CohortsStaging,RWEStaging,StudiesStaging,UMCGCohortsStaging" +Collections,,type other,,,,,,,,,,"If other, describe the type of collection","DataCatalogueFlat,EMA,CohortsStaging,RWEStaging,StudiesStaging" Collections,,cohort type,ontology_array,,,CatalogueOntologies,Cohort study types,,,,,Type of cohort,"DataCatalogueFlat,CohortsStaging,UMCGCohortsStaging" Collections,,clinical study type,ontology_array,,,CatalogueOntologies,Clinical study types,,,,,Type of clinical study,"DataCatalogueFlat,EMA" Collections,,RWD type,ontology_array,,,CatalogueOntologies,Datasource types,,,,,Type of registry or health record,"DataCatalogueFlat,EMA,RWEStaging" @@ -34,8 +34,6 @@ Collections,,unit of observation,text,,,,,,,,,"Based on the prompt, what is the Collections,,record trigger,text,,,,,,,,,"What triggers the creation of a record in the data bank? e.g. planned collection events, hospital discharge, specialist encounter, dispensation of a medicinal product, recording of a congenital anomaly","DataCatalogueFlat,EMA,RWEStaging" Collections,,subcohorts,refback,,,,Collection subcohorts,,collection,,,List of subcohorts or subpopulations defined in this collection if applicable,"DataCatalogueFlat,CohortsStaging,UMCGCohortsStaging" Collections,,collection events,refback,,,,Collection events,,collection,,dcterms:hasPart,List of data/sample collection events defined for this collection if applicable,"DataCatalogueFlat,CohortsStaging,UMCGCohortsStaging" -Collections,,datasets,refback,,,,Collection datasets,,collection,,,List of datasets contained in this collection if applicable,"DataCatalogueFlat,CohortsStaging,RWEStaging,NetworksStaging,StudiesStaging" -Collections,,samplesets,refback,,,,Collection samplesets,,collection,,,List of samples sets contained in this collection if applicable,"DataCatalogueFlat,CohortsStaging,RWEStaging,StudiesStaging" Collections,,collections,ref_array,,,,Collections,,,,dct:dataset,List of other collections included in this collection,"DataCatalogueFlat,EMA" Collections,,partOfCollections,refback,,,,Collections,,collections,,dct:dataset,List of other collections included in this collection,"DataCatalogueFlat,EMA" Collections,,collections,ref_array,,,catalogue,Collections,,,,,"List of other collections included in this network, e.g. cohorts, biobanks or other networks",NetworksStaging @@ -67,6 +65,8 @@ Collections,,organisations involved,refback,,,,Collection organisations,,collect Collections,,networks involved,refback,,,,Collections,,collections,,,The consortia or networks that this collection is part of,"DataCatalogueFlat,EMA" Collections,,networks other,text,,,,,,,,,List the names of any other networks that are not listed and this collection is involved in,EMA Collections,,available data and samples,heading,,,,,,,,,Data model and contents,"DataCatalogueFlat,EMA,RWEStaging,CohortsStaging,UMCGCohortsStaging" +Collections,,datasets,refback,,,,Collection datasets,,collection,,,List of datasets contained in this collection if applicable,"DataCatalogueFlat,CohortsStaging,RWEStaging,NetworksStaging,StudiesStaging" +Collections,,samplesets,refback,,,,Collection samplesets,,collection,,,List of samples sets contained in this collection if applicable,"DataCatalogueFlat,CohortsStaging,RWEStaging,StudiesStaging" Collections,,areas of information,ontology_array,,,CatalogueOntologies,Areas of information cohorts,,,,,Areas of information that were collected,"DataCatalogueFlat,CohortsStaging,UMCGCohortsStaging" Collections,,areas of information rwd,ontology_array,,,CatalogueOntologies,Areas of information ds,,,,,Areas of information that were collected,"DataCatalogueFlat,EMA,RWEStaging" Collections,,quality of life other,text,,,,,,,,,"If other, specify additional quality of life measures","DataCatalogueFlat,EMA,RWEStaging" @@ -90,9 +90,10 @@ Collections,,linkage,heading,,,,,,,,,Data linkage,"DataCatalogueFlat,EMA,Cohorts Collections,,has identifier,bool,,,,,,,,,Is there a unique identifier for a person in the data bank?,"DataCatalogueFlat,RWEStaging" Collections,,identifier description,text,,,,,,,,,"Describe the variable that is used as a unique identifier for a person in the data bank. If the unique identifier is not at level of a person (for example hospital encounter), describe how this translated to an individual level","DataCatalogueFlat,RWEStaging" Collections,,prelinked,bool,,,,,,,,,Is the data from this data source linked to other data sources?,"DataCatalogueFlat,EMA,CohortsStaging,RWEStaging" -Collections,,linkage description,text,,,,,,,,,Provide a high-level description of the linkages that are currently available for this data collection,"DataCatalogueFlat,EMA,CohortsStaging,RWEStaging" +Collections,,linkage options,text,,,,,,,,,Linkage options with additional data resources that are available for this collection,"DataCatalogueFlat,CohortsStaging,RWEStaging,UMCGCohortsStaging" +Collections,,linkage description,text,,,,,,,,,Provide a high-level description of the linkages that are currently available for this data collection,EMA Collections,,linkage possibility,bool,,,,,,,,,Can this data source be linked to other data sources?,"DataCatalogueFlat,EMA,CohortsStaging,RWEStaging" -Collections,,linkage possibility description,text,,,,,,,,,Description of data sources that can be linked to this data source,"DataCatalogueFlat,EMA,CohortsStaging,RWEStaging" +Collections,,linkage possibility description,text,,,,,,,,,Description of data sources that can be linked to this data source,EMA Collections,,linked collections,refback,,,,Collection linkages,,collection,,,List of collections that are or can be linked to this main collection,"DataCatalogueFlat,EMA,RWEStaging" Collections,,access conditions,heading,,,,,,,,,Access and validation information,"DataCatalogueFlat,EMA,CohortsStaging,RWEStaging,UMCGCohortsStaging" Collections,,informed consent type,ontology,,,CatalogueOntologies,Informed consent types,,,,,What type of informed consent was given for data collection?,"DataCatalogueFlat,CohortsStaging,UMCGCohortsStaging" diff --git a/data/_ontologies/Collection types FLAT.csv b/data/_ontologies/Collection types FLAT.csv index a00adff9fc..d7958b6aac 100644 --- a/data/_ontologies/Collection types FLAT.csv +++ b/data/_ontologies/Collection types FLAT.csv @@ -2,7 +2,6 @@ name,label,parent,codesystem,code,ontologyTermURI,definition Biobank,,,,,, Clinical trial,,,,,, Clinical study,,,,,,what is difference trial? -Cohort,,,,,,to be deleted Cohort study,,,,,, Databank,,,,,,or should we add the more specific variants Data source,,,,,,