Cohort name
  • Netherlands
Please provide any other information on the cohort location/s if needed
  Northern Provinces (Groningen, Drenthe, Friesland)
  Bert-Jan Souman
  Director Lifelines BV
  Ute Bultmann
  University Medical Center Groningen
  +31 50 361 6975
  • 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
Age range at entry (main cohort)
Minimum Maximum Mean
0 93 41.5 (sd 16.1)
Men at enrollment
Women at enrollment
Children (<18 years) at enrollment
Participation rate at enrollment (if known)
  via GP 24.5%
via family 70.2%
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
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
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
  Some questions are included in add-on's, such as the Lifelines COVID19 questionnaire
Shift work and chronotype in 3 A questionnaire (ongoing)
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
Biological samples collected
  • Blood
  • Hair
  • Nails
  • Sputum
  • Urine
  • Other
Specify: Other
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