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Health and Retirement Study (HRS)
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Sample details

HRS investigates retirement and ageing and its influences on health outcomes in a population of adults in the United States of America. The study began in 1992, initially recruiting 12,652 individuals aged between 51 and 61 years, with oversampling of participants of ethnic minorities. The HRS has expanded over time to include multiple cohorts: the original HRS cohort (born from 1931 to 1941), Asset and Health Dynamics Among the Oldest Old (AHEAD; born from 1890 to 1923), Children of the Depression (CODA; born from 1924 to 1930), War Babies (born from 1942 to 1947), Early Baby Boomers (EBB; born from 1948 to 1953), Mid Baby Boomers (MBB; born from 1954 to 1959), and Late Baby Boomers (LBB; born from 1960 to 1965). Participants are community-dwelling individuals aged 50 years and older, with recruitment methods ensuring a representative sample of the United States population over 50 years. The study has continued to enrol new participants to maintain its representativeness, with the most recent additions being the Early Generation X (EGENX; born from 1966 to 1971) in 2022. Follow-up interviews are conducted every two years to track health, economic, and social changes over time.

Study design
Cohort, Cohort - accelerated

Number of participants at first data collection

12,652 (HRS)

8,222 (AHEAD)

2,320 (CODA)

2,529 (War Babies)

3,330 (EBB)

6,823 (MBB)

4,368 (LBB)

No participant information available (EGENX)

Age at first data collection

≥ 70 years (AHEAD)

51 - 61 years (HRS)

68 - 74 years (CODA)

51 - 56 years (War Babies)

51 - 56 years (EBB)

51 - 56 years (MBB)

51 - 56 years (LBB)

51 - 56 years (EGENX)

Participant year of birth

1890 - 1923 (AHEAD)

1924 - 1930 (CODA)

1931 - 1941 (HRS)

1942 - 1947 (War Babies)

1948 - 1953 (EBB)

1954 - 1959 (MBB)

1960 - 1965 (LBB)

1966 - 1971 (EGENX)

Participant sex
All

Representative sample at baseline?
Adults above the age of 50 years in the United States of America.

Sample features

Ethnically diverse populations
Older and elderly people
Veterans
Dataset details

Country

United States of America

Year of first data collection

1992 (HRS)

1993 (AHEAD)

1998 (CODA)

1998 (War Babies)

2004 (EBB)

2010 (MBB)

2016 (LBB)

2022 (EGENX)

Primary Institutions

University of Michigan

Links

hrs.isr.umich.edu/

nia.nih.gov/research/resource/health-and-retirement-study-hrs

health.gov/healthypeople/objectives-and-data/data-sources-and-methods/data-sources/health-and-retirement-study-hrs

Profile paper DOI

doi.org/10.1093/ije/dyu067

Funders

National Institute on Aging (NIA)

United States Social Security Administration (SSA)

Ongoing?
Yes

Data types collected

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)
  • Secondary data
  • Self-report questionnaire – online
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Census data
  • Geographic, spatial & environmental data
  • Healthcare data
  • Mortality data
  • Other government data
  • Tax, income & benefit data
Features

Engagement

  • Community engagement
  • Keywords

    Ageing
    Biological samples/biospecimens
    COVID-19
    Cognition
    Diet and nutrition
    Geriatric health and disease
    Income and expenses
    Physical health
    Service use
    Sub-studies
    Work and employment

    Consortia and dataset groups

    Ageing Trajectories of Health – Longitudinal Opportunities and Synergies (ATHLOS)
    Gateway to Global Ageing (G2G)
    Global Alzheimer’s Association Interactive Network (GAAIN)
    Health and Retirement Studies (HRS) / Gateway to Global Aging Data
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