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Doetinchem Cohort Study
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Sample details

The Doetinchem Cohort Study is a prospective longitudinal study on lifestyle and other determinants of health and disease. It started in 1987 as a monitoring study of cardiovascular disease risk factors in the inhabitants of Doetinchem in the Netherlands, aged 20 to 59 years. Of those invited, 12,404 (62%) participated in the baseline examination and the majority of those assessed at baseline were invited for a first follow-up in 1993 - 1997. Participants have been followed up every five years since, with round 7 taking place in 2018 - 2022 with participants aged 51 to 90 years.

Study design
Cohort, Biobank

Number of participants at first data collection

7,768 (participants)

Age at first data collection

20 - 59 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Older and elderly people
Dataset details

Country

Netherlands

Year of first data collection

1987

Primary Institutions

National Institute for Public Health and the Environment (Rijksinstituut voor Volksgezondheid en Milieu, RIVM)

Links

rivm.nl/en/doetinchem-cohort-study

doi.org/10.1093/ije/dym292

Profile paper DOI

doi.org/10.1093/ije/dyx103

Funders

Ministry of Health, Labor and Welfare (厚生労働省, MHLW)

National Institute for Public Health and the Environment (Rijksinstituut voor Volksgezondheid en Milieu, RIVM)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • Interview – unspecified
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-report questionnaire – unspecified
  • Wearable devices
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Mortality data
Features

Engagement

  • None
  • Keywords

    Alcohol use
    Biological samples/biospecimens
    Cardiovascular health and disease
    Cognitive function
    Health and wellbeing
    Lifestyle factors
    Loneliness
    Physical health
    Psychosocial factors
    Quality of life
    Respiratory health and disease
    Sleep
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