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Health, Aging and Retirement in Thailand (HART)
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Sample details

The HART project is a sister study of the Health and Retirement Study (HRS) and surveys a representative sample of approximately 5,600 households in Thailand every 2 years. One eligible member aged 45 or older is selected from each household panel as a primary respondent. Spouses (at any age, if any) are also interviewed for data relevant to family, transfers, and finances. For the Wave 2 survey, a proxy for deceased respondents is contacted for an exit interview, and the proxy will be eligible to be included as a new respondent for that household if they are aged 45 or older.

Study design
Cohort, Household panel

Number of participants at first data collection

5,616 (participants)

Recruitment is ongoing

Age at first data collection

≥ 45 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
National households from five regions of Thailand, as well as Bangkok and the vicinity.

Sample features

Families
Households and household members
Middle-aged people
Older and elderly people
Dataset details

Country

Thailand

Year of first data collection

2014

Primary Institutions

National Institute of Development Administration (สถาบันบัณฑิตพัฒนบริหารศาสตร์, NIDA)

University of Michigan

Links

hart.nida.ac.th/

Funders

Commission of the Higher Education (CHE)

National Research Commission of Thailand (NRCT)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Existing research data
Features

Engagement

  • Community engagement
  • Keywords

    Assets
    Cognition
    Debt
    Demographics
    Family environment and factors
    Income and expenses
    Life satisfaction
    Physical health
    Retirement
    Socioeconomics
    Work and employment

    Consortia and dataset groups

    Health and Retirement Studies (HRS) / Gateway to Global Aging Data
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