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Age, Gene, Environment, Susceptibility Study - Reykjavik (AGES)
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Sample details

The AGES - Reykjavik study aims to assess and identify risk factors for age-related conditions through identifying the genetic and environmental involvement. This study recruited an existing cohort from a previous study of the "Reykjavik study", with a baseline cohort of 2,300 participants ages 67 and above. Participants at baseline consisted of 42% males and 58% females. Participants are followed up every few years.

Study design
Cohort

Number of participants at first data collection

2,300 (participants)

Age at first data collection

≥ 67 years (participants)

Participant year of birth

1907 - 1935 (participants)

Participant sex
All

Representative sample at baseline?
The general elderly population of Iceland and other Nordic countries.

Sample features

Older and elderly people
Dataset details

Country

Iceland

Year of first data collection

2002

Primary Institutions

Icelandic Heart Association (Hjartavernd)

National Institute on Aging (NIA)

Links

hjarta.is/rannsoknir/oldrunarrannsokn-1-afangi/

maelstrom-research.org/study/ages

Profile paper DOI

doi.org/10.1093/aje/kwk115

Funders

Icelandic Heart Association (Hjartavernd)

Icelandic Parliament (Alþingi Íslendinga)

National Eye Institute (NEI)

National Institute on Aging (NIA)

National Institutes of Health (NIH)

Ongoing?
Yes

Data types collected

neuroImagingData
mentalHealthData
dataLinkage
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Self-report questionnaire – unspecified
Qualitative data collection
  • None
Neuroimaging data collection
  • Computerized tomography (CT)
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • Existing research data
  • Healthcare data
  • Mortality data
  • Social care data
Features

Engagement

  • None
  • Keywords

    Anthropometry
    Biological samples/biospecimens
    Biomarkers
    Cognitive impairment and disorders
    Elderly
    Environmental factors
    Epidemiology
    Genetic predisposition
    Geriatric health and disease
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