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Social Environment and Biomarkers of Aging Study (SEBAS)
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Sample details

SEBAS is a nationally representative longitudinal survey of Taiwanese middle-aged and older adults. It adds the collection of biomarkers and performance assessments to the Taiwan Longitudinal Study of Aging (TLSA), a nationally representative study of adults aged 60 and over, including the institutionalised population. The TLSA began in 1989, with follow-ups approximately every 3 years. The first wave of SEBAS, based on a sub-sample of respondents from the 1999 TLSA, was conducted in 2000. A total of almost 1,500 respondents completed a face-to-face home interview. A follow-up study was fielded between August 2006 and the end of January 2007, using a protocol similar to the 2000 SEBAS.

Study design
Cohort

Number of participants at first data collection

1,497 (participants)

Age at first data collection

≥ 54 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
Nationally representative of Taiwanese adults age 54 and over.

Sample features

Adults
Dataset details

Country

Taiwan

Year of first data collection

1989 (TLSA)

2000 (SEBAS)

Primary Institutions

Georgetown University

Ministry of Health and Welfare (衛生福利部, MOHW)

Links

cph.georgetown.edu/research/taiwan/

Profile paper DOI

doi.org/10.1093/ije/dyu179

Funders

Ministry of Health and Welfare (衛生福利部, MOHW)

National Institute on Aging (NIA)

National Institutes of Health (NIH)

Taiwan Provincial Government (臺灣省政府)

U.S. Department of Health and Human Services (DHHS)

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

  • Existing research data

Features

Engagement

  • Community engagement
  • Community engagement
  • Keywords

    Biomarkers
    Genetic factors
    Healthy ageing
    Physical health
    Social networks and relationships
    Socioeconomics

    Consortia and dataset groups

    Taiwan Longitudinal Study of Aging datasets
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