{"doc_desc":{"title":"20,000 Volunteers for Medical Research","idno":"FRESH-PEF3476-en","producers":[{"name":"Marcel Goldberg","affiliation":"INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)"}]},"study_desc":{"title_statement":{"idno":"FRESH-PEF3476-en","IDno":{"metadata_no":[{"agency":"PEF","code":"3476"},{"agency":"FReSH","code":"FRESH-PEF3476"}],"metadata_yes":[{"code":"FReSH","agency":"FReSH"}]},"title":"20,000 Volunteers for Medical Research","alternate_title":"GAZEL"},"study_authorization":{"agency":[{"name":"CNIL"}]},"authoring_entity":[{"name":"Marie;ZINS","firstname":"Marie","lastname":"ZINS","type":"investigator","extlink":[{"title":"ORCID","uri":"0000-0002-4540-4282","role":"pi id"},{"title":"IdRef","uri":" 074613324","role":"pi id"},{"title":"ROR","uri":"https:\/\/ror.org\/02vjkv261","role":"organisation id"},{"title":"SIREN","uri":"180036048","role":"organisation id"},{"title":"RNSR","uri":"201322808P","role":"labo id"}],"email":"marie.zins@inserm.fr","affiliationName":"INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)","PILabo":"Paris Cit\u00e9 University\n INSERM \/ UMS 011 : Cohortes \u00e9pid\u00e9miologiques en population","isContact":true},{"name":"Marcel;GOLDBERG","firstname":"Marcel","lastname":"GOLDBERG","type":"investigator","extlink":[{"title":"ORCID","uri":"0000-0002-6161-5880","role":"pi id"},{"title":"IdRef","uri":"028740637","role":"pi id"},{"title":"ROR","uri":"https:\/\/ror.org\/03xjwb503","role":"organisation id"},{"title":"SIREN","uri":"130026024","role":"organisation id"},{"title":"RNSR","uri":"201322808P","role":"labo id"}],"email":"marcel.goldberg@inserm.fr","affiliationName":"Univesit\u00e9 Paris Cit\u00e9","PILabo":"Inserm UMS 11","isContact":true}],"oth_id":[{"name":";","firstname":"","lastname":"","type":"contributor","isContact":"","extlink":[{"title":"ORCID","uri":"","role":"team member id"},{"title":"IdRef","uri":"","role":"team member id"}]},{"name":"","type":"affiliation","teamMemberLabo":"","extlink":[{"title":"RNSR","uri":"","role":"labo id"}]},{"name":"Consortiums and collaborations :- Sickness Absence Research Collaboration (SARC) : http:\/\/ucl-sarc.org\/index.html - IDEAR (Integrated Datasets across Europe for Ageing Research)- BBMRI-LPC- P3G","type":"collaboration"}],"production_statement":{"prod_place":"Epidemiology France Portal (PEF)","producers":[{"name":"INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)","role":"sponsor","extlink":[{"title":"ROR","uri":"https:\/\/ror.org\/02vjkv261","role":"sponsor id"},{"title":"SIREN","uri":"180036048","role":"sponsor id"}]}],"funding_agencies":[{"name":"Camieg","extlink":[{"title":"ROR","uri":"https:\/\/ror.org\/05fw72335"}]},{"name":"CCAS"},{"name":"CMCAS"}]},"distribution_statement":{"contact":[{"name":"Marie;ZINS","lastname":"ZINS","firstname":"Marie","type":"contact","email":"marie.zins@inserm.fr","affiliationName":"INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)","contactPointLabo":"Paris Cit\u00e9 University\n INSERM \/ UMS 011 : Cohortes \u00e9pid\u00e9miologiques en population","extlink":[{"title":"ROR","uri":"https:\/\/ror.org\/02vjkv261","role":"organisation id"},{"title":"SIREN","uri":"180036048","role":"organisation id"},{"title":"RNSR","uri":"201322808P","role":"labo id"}]},{"name":"Marcel;GOLDBERG","lastname":"GOLDBERG","firstname":"Marcel","type":"contact","email":"marcel.goldberg@inserm.fr","affiliationName":"Univesit\u00e9 Paris Cit\u00e9","contactPointLabo":"Inserm UMS 11","extlink":[{"title":"ROR","uri":"https:\/\/ror.org\/03xjwb503","role":"organisation id"},{"title":"SIREN","uri":"130026024","role":"organisation id"},{"title":"RNSR","uri":"201322808P","role":"labo id"}]}]},"study_info":{"keywords":[{"keyword":"adults"},{"keyword":"occupational health"},{"keyword":"social determinants"},{"keyword":"aging"},{"keyword":"General-purpose cohort"}],"topics":[{"topic":"COVID-19","vocab":"cim-11","extLink":[{"title":"CIM-11","uri":"http:\/\/id.who.int\/icd\/entity\/1730556128"}]},{"topic":"Neoplasm, malignant","vocab":"cim-11","extLink":[{"title":"CIM-11","uri":"http:\/\/id.who.int\/icd\/entity\/50574435"}]},{"topic":"Diseases of the musculoskeletal system or connective tissue","vocab":"cim-11","extLink":[{"title":"CIM-11","uri":"http:\/\/id.who.int\/icd\/entity\/1473673350"}]},{"topic":"Depressive disorders","vocab":"cim-11","extLink":[{"title":"CIM-11","uri":"http:\/\/id.who.int\/icd\/entity\/1563440232"}]},{"topic":"Acute myocardial infarction","vocab":"cim-11","extLink":[{"title":"CIM-11","uri":"http:\/\/id.who.int\/icd\/entity\/1334938734"}]},{"topic":"Stroke not known if ischaemic or haemorrhagic","vocab":"cim-11","extLink":[{"title":"CIM-11","uri":"http:\/\/id.who.int\/icd\/entity\/1442995018"}]},{"topic":"Socio-demographic and economic determinants","vocab":"health determinant"},{"topic":"Socio-demographic and economic determinants: Employment","vocab":"health determinant"},{"topic":"Socio-demographic and economic determinants: Income","vocab":"health determinant"},{"topic":"Socio-demographic and economic determinants: Housing","vocab":"health determinant"},{"topic":"Socio-demographic and economic determinants: Education level","vocab":"health determinant"},{"topic":"Socio-demographic and economic determinants: Family situation","vocab":"health determinant"},{"topic":"Socio-demographic and economic determinants: Gender","vocab":"health determinant"},{"topic":"Socio-demographic and economic determinants: Age","vocab":"health determinant"},{"topic":"Environmental determinants","vocab":"health determinant"},{"topic":"Environmental determinants: Air quality","vocab":"health determinant"},{"topic":"Environmental determinants: Other","vocab":"health determinant"},{"topic":"Healthcare system determinants","vocab":"health determinant"},{"topic":"Healthcare system determinants: Use of care","vocab":"health determinant"},{"topic":"Behavioral determinants","vocab":"health determinant"},{"topic":"Behavioral determinants: Addiction","vocab":"health determinant"},{"topic":"Behavioral determinants: Eating habits","vocab":"health determinant"},{"topic":"Behavioral determinants: Physical activity","vocab":"health determinant"},{"topic":"Behavioral determinants: Risk behavior","vocab":"health determinant"},{"topic":"Biological determinants","vocab":"health determinant"},{"topic":"Biological determinants: Genetic predisposition","vocab":"health determinant"},{"topic":"Occupational exposures","vocab":"other environmental determinant"}],"purpose":"GAZEL was set up in 1989 among workers of \u00c9lectricit\u00e9 de France-Gaz de France (EDF-GDF). It was designed as an \u201copen epidemiologic laboratory\u201d characterized by a broad coverage of health problems and determinants and accessible to the community of researchers. At study inception in 1989, the GAZEL Cohort Study included 20,625 volunteers (15,011 men and 5,614 women) then aged from 35 to 50 years. The data routinely collected cover diverse dimensions and come from different sources: annual self-administered questionnaire (morbidity, lifestyles, life events, etc.); personnel department of EDF-GDF for social, demographic, and occupational characteristics; EDF-GDF special social insurance fund (for sickness absences and cancer and ischemic heart disease registries), occupational medicine (occupational exposure and working conditions), Social Action Fund (healthcare utilization), Health Screening Centres for standardized health examination and the National Death Register (causes of death); a biobank including more than 8,000 blood samples was also set up. Today, more than 40 ancillary projects on diversified themes have been set up in the GAZEL Cohort Study by some 30 French and foreign teams from Denmark, Germany, Belgium, Canada, Great Britain, Sweden, Finland, and USA. Health problems as diverse as migraine, postmenopausal osteoporosis, ischemic heart disease, depression, musculoskeletal diseases, or traffic accidents have been the object of research projects in this cohort. They take into account risk factors that are behavioural, social, psychological, occupational, and medical. A substantial proportion of the research work has focused on the problem of social inequalities in health and their occupational, personal, and social determinants using a life course perspective.","abstract":"The GAZEL cohort was established in 1989 among employees of \u00c9lectricit\u00e9 de France-Gaz de France (EDF-GDF). In 1989, GAZEL recruited 20,625 volunteers working at EDF-GDF who were then between the ages of 35 and 50 (15,011 men and 5,614 women). The cohort is diverse in terms of social, economic, and occupational status, health, and health-related behaviors. The collected data cover various dimensions and come from different sources: an annual self-administered questionnaire (morbidity, lifestyle, life events, etc.); EDF-GDF human resources department for social, demographic, and occupational characteristics; special social security scheme, occupational medicine, SNDS (outpatient and inpatient care, causes of death), and Social Security Health Examination Centers. A biobank is associated with the cohort.","coll_dates":[{"start":"1989-01-01","end":"2025-12-31"}],"nation":[{"name":"France","abbreviation":"fr","extLink":{"vocab":"ISO","vocabURI":"fr"}}],"geog_coverage":"","analysis_unit":"Individus","universe":"{\n    \"level_sex_clusion_I\": [\n        {\n            \"concept\": {\n                \"vocab\": \"MeSH\",\n                \"vocabURI\": \"D005260\"\n            },\n            \"value\": \"Female\"\n        },\n        {\n            \"concept\": {\n                \"vocab\": \"MeSH\",\n                \"vocabURI\": \"D008297\"\n            },\n            \"value\": \"Male\"\n        }\n    ],\n    \"level_age_clusion_I\": [\n        {\n            \"concept\": {\n                \"vocab\": \"MeSH\",\n                \"vocabURI\": \"D000328\"\n            },\n            \"value\": \"Adult (25 to 44 years)\"\n        },\n        {\n            \"concept\": {\n                \"vocab\": \"MeSH\",\n                \"vocabURI\": \"D008875\"\n            },\n            \"value\": \"Middle Aged (45 to 64 years)\"\n        },\n        {\n            \"concept\": {\n                \"vocab\": \"MeSH\",\n                \"vocabURI\": \"D000368\"\n            },\n            \"value\": \"Aged (65 to 79 years)\"\n        },\n        {\n            \"concept\": {\n                \"vocab\": \"MeSH\",\n                \"vocabURI\": \"D000369\"\n            },\n            \"value\": \"Aged, 80 and over (80 years and more)\"\n        }\n    ],\n    \"level_type_clusion_I\": \"General population\",\n    \"level_type_clusion_other\": \"\",\n    \"clusion_I\": \"EDF-GDF workers aged 35-50 at inception.\",\n    \"clusion_E\": \"\"\n}","data_kind":"['Biological data','Socio-demographic data','Environmental \/ exposure data','Behavioral data','Geospatial data','Economic data','Genetic \/ genomic data','Participant-reported health data']","quality_statement":{"standards":[{"name":"['ICD-10, CCAM, ATC']","committee":"Shared with CS de Constances (https:\/\/www.constances.fr\/espace-scientifique\/csi\/)","governance":""}],"other_quality_statement":"['Internal controls']"}},"study_development":{"development_activity":[{"activity_type":"primary evaluation","activity_description":"Health event\/morbidity\r\nHealth event\/mortality\r\nHealth care consumption and services\r\nQuality of life\/health perception"},{"activity_type":"secondary evaluation","activity_description":"Well being  Quality of Life"}]},"method":{"data_collection":{"time_method":"Prospective longitudinal","frequency":"Annual","sampling_procedure":"['{\"concept\":{\"vocab\":\"CESSDA\",\"vocabURI\":\"TotalUniverseCompleteEnumeration\"},\"value\":\"Complete enumeration (including consecutive recruitment)\"}','{\"concept\":{\"vocab\":\"CESSDA\",\"vocabURI\":\"Other\"},\"value\":\"Other\"}']","sample_frame":{"frame_unit":{"unit_type":"['Administrative database (employees, pupils, students, etc.)']"}},"coll_mode":["{\"concept\":{\"vocab\":\"CESSDA\",\"vocabURI\":\"SelfAdministeredQuestionnaire\"},\"value\":\"Self-administered questionnaire\"}","{\"concept\":{\"vocab\":\"CESSDA\",\"vocabURI\":\"Other\"},\"value\":\"Other\"}"],"research_instrument":"Free access","sources":[{"sourceCitation":{"titlStmt":{"titl":"Medical and Administrative Office"},"holdings":"SNDS","notes":{"subject":"source purpose","value":"Data enrichment through cross-referencing"}},"srcOrig":["Administrative database","Medico-administrative database"]},{"sourceCitation":{"titlStmt":{"titl":"Administrative files"},"holdings":"EDF-GDF Files","notes":{"subject":"source purpose","value":"Data enrichment through cross-referencing"}},"srcOrig":["Administrative database","Medico-administrative database"]}],"target_sample_size":">= 20000 individuals","response_rate":"20,625"},"method_notes":"Observational Study","study_class":"Ongoing study","notes":[{"subject":"research type","values":["Observational 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website"}},"additional":{"IsImport":false,"versionLang":"en","originLang":"en","lastUpdatedAuto":"13-05-2026","lastUpdatedManual":"13-05-2026","autoTranslation":false,"status":"Awaiting validation","respValidation":"","isHealthTheme":false,"isContributorPI":false,"addTeamMember":"","primaryInvestigator":{"isPIContact":true,"piMail":"marcel.goldberg@inserm.fr","piAffiliation":{"piLabo":"Inserm UMS 11"}},"relatedDocument":[{"type":"Publication defining the database and\/or its collection protocol  (data paper, cohort profile, method\/protocol paper, resource paper, data note, registered report...)","title":"Cohort profile update: the GAZEL Cohort Study","link":"doi: 10.1093\/ije\/dyu224"}],"contactPointLabo":"Inserm UMS 11","obtainedAuthorization":{"otherAuthorizingAgency":[""]},"regulatoryRequirements":{"conformityDeclaration":""},"fundingAgent":{"fundingAgentType":["Public (France)","Other","Other"],"otherFundingAgentType":["","Organisme protection sociale","Organisme protection 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Follow-up also through national health and socioeconomic administrative databases.","collectionModeOther":"Administrative data, SNDS"},"dataCollection":{"inclusionStrategy":[],"samplingModeOther":"Invitation to the entire eligible population","recruitmentSourceOther":"","otherDocumentation":""},"activeFollowUp":{"isActiveFollowUp":true,"followUpModeOther":""},"dataCollectionIntegration":{"isDataIntegration":true},"geographicalCoverage":{"geoDetail":"All France"},"dataTypes":{"clinicalDataDetails":"","biologicalDataDetails":"Blood count, glucose, total cholesterol, HDL cholesterol, ALT, creatinine, triglycerides, micro albumin, Gamma GT","isDataInBiobank":true,"biobankContent":["Plasma","Serum"],"biobankContentOther":"","dataTypeOther":"","paraclinicalDataOther":"","otherLiquidsDetails":""},"variableDictionnary":{"variableDictionnaryAvailable":true,"variableDictionnaryLink":"https:\/\/www.gazel.inserm.fr\/documentation\/catalogue-des-donnees"},"dataQuality":{"otherDocumentation":""},"mockSample":{"mockSampleAvailable":false,"mockSampleLocation":""},"thirdPartySource":{"otherSourceType":["",""]},"fileDscr":{"fileTxt":{"fileCitation":{"titlStmt":{"IDno":[]}}}}},"schematype":"survey"}