Date of filling in this questionnaire or last update: 23/05/2020
1. IDENTIFICATION & BASIC DESCRIPTION
Cohort name
  Longitudinal Aging Study Amsterdam
Country
 

  • Netherlands

Please provide any other information on the cohort location/s if needed
  Three regions in the Netherlands together representing the socio-geographic variation
Name
  Martijn Huisman
Institution
  Amsterdam University Medical Centers, location VU medical center, dept of Epidemiology & Biostatistics
Email
  ma.huisman@amsterdamumc.nl
Name
  Dorly Deeg
Institution
  Amsterdam University Medical Centers, location VU medical center, dept of Epidemiology & Biostatistics
Email
  djh.deeg@amsterdamumc.nl
Website
 

  • www.lassa-vu.nl

Name of committee
  VU University Medical Center - Medical Ethics Testing Committee
Upload files
 

Or provide website
 

  • www.lasa-vu.nl

Data access policy (briefly describe)
  https://lasa-vu.nl/data/availability_data/availability_data.htm
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
  To determine predictors and consequences of changes in functioning with aging, including physical, emotional, cognitive and social functioning of older persons (55+) in the Netherlands.
Study design (please select as many as appropriate)
 

  • Prospective cohort

Source population (please select as many as appropriate)
 

  • General population: National

Comparators (please select as many as appropriate)
 

  • Internal study population

Inclusion criteria
  None: random sample from population registries
Exclusion criteria
  None
Enrollment
  Completed
Age range at entry (main cohort)
 

Minimum Maximum Mean
55 85 70

Men at enrollment
  2477
Women at enrollment
  2655
Children (<18 years) at enrollment
  -
Men at last follow-up
  661
Women at last follow-up
  732
Children (<18 years) at last follow-up
  -
Participation rate at enrollment (if known)
  60
2. OUTCOME FOLLOW-UP
Type of data for outcome follow-up (please select as many as appropriate)
 

  • Active (contact with participants)
  • Death certificate

Active (contact with participants) (specify)
 

  • 3-yearly main measurement cycles and in-between side studies

Death certificate (specify)
 

  • Vital status or respondent and spouse from municipal basic administrations

First follow-up period (provide year)
  1995
Last follow-up period (provide year)
  2019
Number of follow-ups after baseline (provide number)
  3 (most recent cohort) - 9 (earliest cohort)
Participation at last follow-up (if known)
  92
Comments
  participation rate excluding deaths from denominator
3. OCCUPATIONAL EXPOSURES
Source of exposure data collected (please select as many as appropriate)
 

  • Questionnaire, Personal (Self-reporting or interview)
  • Questionnaire, Personal (Occupational/industry modules)

Occupational history/time frame
  Current, at enrollment
Occupational coding performed
  Yes
Occupation (specify coding system used)
 

  • Netherlands Standard Classification of Occupations 1992 and 2010

Industry (specify coding system used)
 

  • Netherlands Standard Classification of Occupations 1992 and 2010

Types of exposure measurements
 

  • Other (specify)

Specify: Other
  work demands and resources
Methods for exposure assessment (please select as many as appropriate)
 

  • Job Exposure Matrix
  • Self-report

 

  • Other

Specify: Job Exposure Matrix / Other
  General Population JEM for older workers
Website
  https://lasa-vu.nl/themes/work/GPJEM.htm
Main categories
 

  • Ergonomics, physical workload, and injury related
  • Psychosocial domains
  • Organisation of work including working time

Ergonomics, physical workload, and injury related
 

  • Awkward work postures (e.g. kneeling/squatting, elevated arms, neck flection, back bent forward without support)
  • Physical work load (e.g. heavy lifting of people or objects, pushing/pulling)
  • Repetitive work movements
  • Sedentary work
  • Standing work

Psychosocial domains | Job task characteristics/organization of work
 

  • Effort-reward imbalance (ERI)
  • Job control, autonomy
  • Psychological job demands
  • Social support at work from supervisors
  • Skill use opportunities

Organisation of work including working time | Employment conditions
 

  • 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
  • Regular/variable

4. OUTCOMES EVALUATED
Baseline - type of outcome data collected (select more than one if applicable)
 

  • Death certificates
  • Medical records
  • Questionnaire, individual (self-recording or interview)

Follow-up - type of outcome data collected (select more than one if applicable)
 

  • Clinical/functional evaluation, e.g. spirometry, ECGs (specify)
  • Death certificates
  • Medical records
  • Questionnaire, individual (self-recording or interview)

Specify: Clinical/functional evaluation, e.g. spirometry, ECGs
  physical performance tests, grip strength, peak expiratory flow, blood pressure, heart rae, cognitive tests
Outcome type (please select as many as appropriate)
 

  • Mortality
  • Morbidity
  • Disability

Other health related outcomes
 

  • Biomarkers
  • Lifestyle change
  • Quality of life/wellbeing
  • Sleep
  • Work participation
  • Other (specify)

Specify: Other
  cognitive functioning, social engagement
5. BIOLOGICAL SAMPLES & ANALYSIS
Biological samples collected
 

  • Blood
  • Hair
  • Sputum
  • Urine

Biological processing
 

  • DNA
  • RNA

Genetic and other lab analyses
 

  • Biomarkers (specify)
  • Genomics / GWAS

Specify: Biomarkers
  https://lasa-vu.nl/themes/biomaterial/biomaterial_submenu.html
6. Other Information
 

  • Alcohol
  • Anthropometry
  • Demographics
  • Diet
  • Education
  • Environmental, air pollution
  • Environmental other (specify)
  • Medical history
  • Personality
  • Physical exercise
  • Residential history
  • Socioeconomic status
  • Smoking
  • Other (specify)

Specify: Environmental other
  area-code based, see https://bmjopen.bmj.com/content/8/6/e021597
Specify: Other
  See masterlist at the bottom of this page: https://lasa-vu.nl/index.htm
Possibility for linkage to data registries/data enrichment via data linkage
 

  • Birth register
  • Cancer incidence
  • Hospital discharge
  • Mortality register

Please describe plans that are funded or most likely to be funded
  Most recently funded:
- "Healthy on the way to retirement (f/m)? Changes in the health of older female and male workers depending on their gender identity and work demands" (Netherlands Organisation for Health Rersearch and Development)
- “Secular trends in employment of older workers in the Netherlands and Norway: how influential are policy regulations?" (Network for Studies on Pensions, Aging and Retirement)
Most recently submitted:
- "Vulnerability and vitality of older persons during the corona crisis" (including changes in work participation)