1. IDENTIFICATION & BASIC DESCRIPTION |
Cohort name
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Lifelines
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Country
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Please provide any other information on the cohort location/s if needed
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Northern Provinces (Groningen, Drenthe, Friesland)
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Name
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Bert-Jan Souman
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Institution
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Director Lifelines BV
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Email
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b.j.souman@umcg.nl
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Name
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Ute Bultmann
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Institution
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University Medical Center Groningen
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Email
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u.bultmann@umcg.nl
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Phone
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+31 50 361 6975
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Website
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Name of committee
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Medical Ethical Committee University Medical Center Groningen
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Or provide website
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- www.lifelines.nl/researchers/publications
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Contact Principal Investigator (name)
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Bert Jan Souman (Director Lifelines BV)
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Data access policy (briefly describe)
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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.
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Is this cohort part of a consortium? (name consortium)
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Yes (e.g, GWAS consortia etc)
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Participation in pooled analyses
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- 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).
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Main aim of cohort, please briefly describe the main objectives of the cohort
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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.
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Study design (please select as many as appropriate)
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Source population (please select as many as appropriate)
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- General population: Regional
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Comparators (please select as many as appropriate)
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- Internal study population
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Exclusion criteria
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severe psychiatric or physical illness; limited life expectancy (<5 years); insufficient knowledge of the Dutch language to complete a Dutch questionnaire
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Enrollment
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Completed
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Age range at entry (main cohort)
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Minimum |
Maximum |
Mean |
0 |
93 |
41.5 (sd 16.1) |
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Men at enrollment
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70674
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Women at enrollment
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97055
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Children (<18 years) at enrollment
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14801
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Participation rate at enrollment (if known)
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34
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Comments
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via GP 24.5%
via family 70.2%
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2. OUTCOME FOLLOW-UP |
Type of data for outcome follow-up (please select as many as appropriate)
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- Active (contact with participants)
- Use of registers (specify)
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Active (contact with participants) (specify)
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- Physical assessments and questionnaires
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Specify: Use of registers
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- Statistics Netherlands, LISA, Medication, Cancer registry
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First follow-up period (provide year)
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1.5 years
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Last follow-up period (provide year)
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10 year - ongoing
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Number of follow-ups after baseline (provide number)
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4 complete, 5 ongoing
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3. OCCUPATIONAL EXPOSURES |
Source of exposure data collected (please select as many as appropriate)
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- Questionnaire, Personal (Self-reporting or interview)
- Job calendar
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Occupational history/time frame
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Current, at enrollment
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Occupational coding performed
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Yes
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Occupation (specify coding system used)
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Methods for exposure assessment (please select as many as appropriate)
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- Self-report
- Other (specify)
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Specify: Other
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JEMs applied
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Main categories
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- Psychosocial domains
- Organisation of work including working time
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Psychosocial domains | Job task characteristics/organization of work
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- Career advancement opportunities
- Job control, autonomy
- Psychological job demands
- Social support at work from supervisors
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Organisation of work including working time | Employment conditions
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- Job insecurity
- Size of the workplace and company
- Work contract type (i.e. permanent, term-contract, subcontract, temporary)
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Organisation of work including working time | Shift work
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- Night (permanent or rotating)
- Rotating (not night)
- Regular/variable
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Organisation of work including working time | Working hours
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Comments
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Some questions are included in add-on's, such as the Lifelines COVID19 questionnaire
Shift work and chronotype in 3 A questionnaire (ongoing)
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4. OUTCOMES EVALUATED |
Baseline - type of outcome data collected (select more than one if applicable)
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- Biomarker (specify)
- Clinical/functional evaluation, e.g. spirometry, ECGs (specify)
- Questionnaire, individual (self-recording or interview)
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Follow-up - type of outcome data collected (select more than one if applicable)
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- Biomarker (specify)
- Clinical/functional evaluation, e.g. spirometry, ECGs (specify)
- Questionnaire, individual (self-recording or interview)
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Outcome type (please select as many as appropriate)
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- Mortality
- Morbidity
- Disability
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Diagnostic groups based on ICD10
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- 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
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Other health related outcomes
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- Biomarkers
- Lifestyle change
- Quality of life/wellbeing
- Sickness absence
- Sleep
- Work participation
- Other (specify)
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Specify: Other
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Work functioning
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5. BIOLOGICAL SAMPLES & ANALYSIS |
Biological samples collected
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- Blood
- Hair
- Nails
- Sputum
- Urine
- Other
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Specify: Other
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feces
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Biological processing
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Genetic and other lab analyses
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- Biomarkers (specify)
- Genomics / GWAS
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6. Other Information |
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- Alcohol
- Anthropometry
- Demographics
- Diet
- Education
- Environmental, air pollution
- Medical history
- Personality
- Physical exercise
- Residential history
- Socioeconomic status
- Smoking
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Possibility for linkage to data registries/data enrichment via data linkage
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- Cancer incidence
- Employment status
- Medication usage
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