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National Health and Aging Trends Study (NHATS)
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Sample details

NHATS follows a nationally representative sample of Medicare beneficiaries ages 65 and older based in the United States to collect detailed information on the disablement process and its consequences. The original cohort was recruited in 2011, and of the 8,245 participants, over 40% were ages 80 or older and about 20% self-identified as Black or African American. Since 2015, the sample is being replenished periodically to provide a refreshed nationally representative sample of the Medicare population aged 65 and older. Participants are followed up annually, and if deceased, a 'Last Month of Life' interview is conducted typically with a close family member. The NHATS also generates the National Study of Caregiving (NSOC) sample, which characterizes caregiving experiences of family and unpaid caregivers of NHATS participants.

Study design
Cohort

Number of participants at first data collection

8,245 (participants)

Recruitment is ongoing

Age at first data collection

≥ 65 years (participants)

Participant year of birth

1920 - 1950 (participants)

Participant sex
All

Representative sample at baseline?
Medicare beneficiaries aged 65 and older.

Sample features

Older and elderly people
Dataset details

Country

United States of America

Year of first data collection

2011

Primary Institutions

Johns Hopkins Bloomberg School of Public Health

University of Michigan

Links

nhats.org/researcher/nhats

Profile paper DOI

doi.org/10.1093/ije/dyz109

Funders

National Institute on Aging (NIA)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Census data
  • Healthcare data
Features

Engagement

  • None
  • Keywords

    Ageing
    Biological samples/biospecimens
    COVID-19
    Chronic illness
    Cognitive function
    Genotyping
    Health and wellbeing
    Healthcare access and use
    Longstanding illness and disability
    Physical activity and exercise
    Quality of care
    Quality of life
    Social functioning
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