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Korean Longitudinal Study of Aging (KLoSA)
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Sample details

KLoSA was designed to provide basic data on population ageing in Korea. At baseline, the KLoSA cohort comprised middle- to old individuals aged 45 years or older (born in 1961 or earlier) across South Korea (not including Jeju Island). Participants were selected randomly using a multistage, stratified probability sampling design to create a nationally representative sample of community-dwelling Koreans 45 years of age and older. The exact sample size at baseline was 6,171 households and 10,254 individuals. In 2014, KLoSA recruited a new cohort of 1,000 Korean Baby Boomers (born between 1962 and 1963) in the fifth baseline survey and has continued to keep track of this new cohort since its addition.

Study design
Cohort, Cohort - open

Number of participants at first data collection

10,254 (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?
Community-dwelling South Koreans aged 45 years and older.

Sample features

Middle-aged people
Older and elderly people
Dataset details

Country

South Korea

Year of first data collection

2006

Primary Institutions

Korea Employment Information Service (한국고용정보원, KEIS)

Korea Labor Institute (KLI)

Links

survey.keis.or.kr/eng/klosa/klosa01.jsp

doi.org/10.1016/j.jad.2020.12.026

Funders

Minstry of Labor

Ongoing?
Yes

Data types collected

mentalHealthData
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • None
  • Keywords

    Ageing
    Assets
    Economics
    Healthy ageing
    Income and expenses
    Labour market participation
    Life satisfaction
    Retirement
    Social functioning
    Social welfare

    Consortia and dataset groups

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