2020

1. IDENTIFICATION & BASIC DESCRIPTION Cohort name   Lifelines Country   Netherlands Please provide any other information on the cohort location/s if needed   Northern Provinces (Groningen, Drenthe, Friesland) Name   Bert-Jan Souman Institution   Director Lifelines BV Email   b.j.souman@umcg.nl Name   Ute Bultmann Institution   University Medical Center Groningen Email   u.bultmann@umcg.nl Phone   +31 50 361 6975 Website   www.lifelines.nl Name of committee   Medical Ethical Committee University Medical Center Groningen Or provide website   www.lifelines.nl/researchers/publications Contact Principal Investigator (name)   Bert Jan Souman (Director Lifelines BV) Data access policy (briefly describe)   Data are available in a public, open access repository. Lifelines is a facility that is open for all researchers. Information on application and data access procedure is summarized on www.lifelines.nl. Is this cohort part of a consortium? (name consortium)   Yes (e.g, GWAS consortia etc) Participation in pooled analyses   The cohort is potentially interested in participating in pooled analyses of (European) occupational cohort studies (note pooled analyses also includes remote decentralized analyses that would not require any transfer of primary data as well as meta-analyses). Main aim of cohort, please briefly describe the main objectives of the cohort   The overall aim of the LifeLines Cohort Study is to gain insight into the aetiology of healthy ageing. Further understanding of why, for instance, some people with overweight develop diabetes, some develop cardiovascular disorders and others remain free of disease will enable us to move forward to more personalized prevention and personalized medicine, ultimately resulting in adding additional years of healthy life. Study design (please select as many as appropriate)   Prospective cohort Source population (please select as many as appropriate)   General population: Regional Comparators (please select as many as appropriate)   Internal study population Exclusion criteria   severe psychiatric or physical illness; limited life expectancy (<5 years); insufficient knowledge of the Dutch language to complete a Dutch questionnaire Enrollment   Completed Age range at entry (main cohort)   Minimum Maximum Mean 0 93 41.5 (sd 16.1) Men at enrollment   70674 Women at enrollment   97055 Children (<18 years) at enrollment   14801 Participation rate at enrollment (if known)   34 Comments   via GP 24.5% via family 70.2% 2. OUTCOME FOLLOW-UP Type of data for outcome follow-up (please select as many as appropriate)   Active (contact with participants) Use of registers (specify) Active (contact with participants) (specify)   Physical assessments and questionnaires Specify: Use of registers   Statistics Netherlands, LISA, Medication, Cancer registry First follow-up period (provide year)   1.5 years Last follow-up period (provide year)   10 year - ongoing Number of follow-ups after baseline (provide number)   4 complete, 5 ongoing 3. OCCUPATIONAL EXPOSURES Source of exposure data collected (please select as many as appropriate)   Questionnaire, Personal (Self-reporting or interview) Job calendar Occupational history/time frame   Current, at enrollment Occupational coding performed   Yes Occupation (specify coding system used)   ISCO 08 Methods for exposure assessment (please select as many as appropriate)   Self-report Other (specify) Specify: Other   JEMs applied Main categories   Psychosocial domains Organisation of work including working time Psychosocial domains | Job task characteristics/organization of work   Career advancement opportunities Job control, autonomy Psychological job demands Social support at work from supervisors Organisation of work including working time | Employment conditions   Job insecurity Size of the workplace and company Work contract type (i.e. permanent, term-contract, subcontract, temporary) Organisation of work including working time | Shift work   Night (permanent or rotating) Rotating (not night) Regular/variable Organisation of work including working time | Working hours   Duration Comments   Some questions are included in add-on's, such as the Lifelines COVID19 questionnaire Shift work and chronotype in 3 A questionnaire (ongoing) 4. OUTCOMES EVALUATED Baseline - type of outcome data collected (select more than one if applicable)   Biomarker (specify) Clinical/functional evaluation, e.g. spirometry, ECGs (specify) Questionnaire, individual (self-recording or interview) Follow-up - type of outcome data collected (select more than one if applicable)   Biomarker (specify) Clinical/functional evaluation, e.g. spirometry, ECGs (specify) Questionnaire, individual (self-recording or interview) Outcome type (please select as many as appropriate)   Mortality Morbidity Disability Diagnostic groups based on ICD10   A Bacterial infectious disease, type of microorganisms* B Viral infections, type of microorganisms* B99 Other and unspecified infectious diseases, type of microorganisms* C + D Neoplasms D Diseases of blood and blood-forming organs excl. leukemia E Endocrinological disease E Malnutrition and obesity E Metabolism disease F Mental disorders G Disease in the nervous system H Disorders of the eye H Disorders of the ear I Heart disease I Cerebrovascular diseases J Respiratory disease K Diseases of oral cavity, salivary glands and jaws K Diseases of oesophagus, stomach, duodenum and appendix K Hernia, colon and intestine disease K Diseases of peritoneum, liver L Skin, nail and hair disorders M Arthritis, arthrosis, systemic connective disorders, spine disorders M Disorders of muscles, bones, synovialis, bursa, cartilage N Kidney, renal pelvis disease N Male and female related disorders O+P Pregnancy and labour Q After birth – child disorders S Injuries Other health related outcomes   Biomarkers Lifestyle change Quality of life/wellbeing Sickness absence Sleep Work participation Other (specify) Specify: Other   Work functioning 5. BIOLOGICAL SAMPLES & ANALYSIS Biological samples collected   Blood Hair Nails Sputum Urine Other Specify: Other   feces Biological processing   DNA Genetic and other lab analyses   Biomarkers (specify) Genomics / GWAS 6. Other Information   Alcohol Anthropometry Demographics Diet Education Environmental, air pollution Medical history Personality Physical exercise Residential history Socioeconomic status Smoking Possibility for linkage to data registries/data enrichment via data linkage   Cancer incidence Employment status Medication usage