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Rehabilitation Dataset Directory: Dataset Profile
Dataset: Korean Longitudinal Study of Aging (KLoSA)
Basic Information | |
---|---|
Dataset Full Name | Korean Longitudinal Study of Aging |
Dataset Acronym | KLoSA |
Summary | The Korean Longitudinal Study of Aging is an ongoing nationally representative longitudinal study of the South Korean household population 45 years and older. Sampling was based on a multistage stratified probability framework for each census district. The first survey was conducted in 2006 and participants are followed every 2 years. The primary purpose of the study is to collect data that will assist in implementing social and economic policies for the aging population. |
Key Terms |
|
Study Design | Longitudinal |
Data Type(s) |
Survey |
Sponsoring Agency/Entity | Korea Labor Institute |
Health Conditions/Disability Measures |
Health Condition(s) | Arthritis, Autism spectrum
disorders, Body mass index (BMI)/obesity,, Cancer, Cardiovascular conditions, Depression, Diabetes,
Eye diseases, Heart attack, Kidney/renal condition, Pulmonary disorders, Stroke,
Traumatic Brain Injury (TBI) |
Disability Measures | Functional limitations
(ADLs and/or IADLs), Hearing disability, Mental health disability, Physical
disability, Visual disability, Work limitation Speech disability, Grip strength, Self-rated Health, K-MMSE (Korean Mini Mental State Exam), Korean version of CES-D, Subjective Life Expectancy (SLE), Cognitive function |
Measures/Outcomes of Interest |
Topics |
|
Sample |
Sample Population | Community-dwelling adults over 45 years living in South Korea Institutionalized persons, who were excluded from the first wave, will be included in the second wave of the main survey. |
Sample Size/Notes |
|
Unit of Observation | Individual |
Continent(s) | Asia |
Countries | Korea |
Geographic Coverage | National, (not including Jeju Island) |
Geographic Specificity | Region |
Special Population(s) | Aging/Older people |
Data Collection |
Data Collection Mode | Computer assisted personal interviews (CAPI) |
Years Collected | 2006-present (ongoing) |
Data Collection Frequency | Every 2 years |
Strengths and Limitations |
Strengths |
|
Limitations |
|
Data Details |
Primary Website |
Main site (note: site may not work with all browsers): http://survey.keis.or.kr/eng/klosa/klosa01.jsp Gateway to Global Aging site also contains significant information on KLoSA including codebooks, harmonizing code and other useful resources: |
Data Access |
Data access requires registration on main site first : http://survey.keis.or.kr/eng/klosa/klosa01.jsp Data download page (after main site registration) here: |
Data Access Requirements | Data use agreement, No cost |
Summary Tables/Reports | Basic Analysis Report of the Korea Labor and Income Panel Study (2006): https://www.kli.re.kr/kli_eng/engRsrchReprtView.do?key=382&pblctListNo=6533 |
Data Components | Each individual wave includes both a main file and an imputation file
|
Similar/Related Dataset(s) | Other longitudinal aging studies:
|
Selected Papers |
Other Papers | Publication list (select survey=KLoSA) https://g2aging.org/?section=papers Gender-Specific Incidence and Predictors of
Cognitive Impairment among Older Koreans: Findings from a 6-Year
Prospective Cohort Study https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5067340/ Socioeconomic Disparity in Later-Year Group Trajectories of Depressive Symptoms: Role of Health and Social Engagement Change. https://www.ncbi.nlm.nih.gov/pubmed/28587183 |
Technical | Codebook/survey (accessible without registration): https://g2aging.org/?section=study&studyid=5 Gateway to Global Aging provides Stata creation code that can create a harmonized KLoSA dataset: Access to documents below require registration: User guide: http://survey.keis.or.kr/eng/klosa/userguide/List.jsp Codebooks |
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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
Other CLDR supported resources and collaborative opportunities:
- Archive of Data on Disability to Enable Policy and research (ADDEP)
- Data Sharing & Archiving at CLDR
- Pilot Project Program
- Visiting Scholars Program
Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.
For questions or comments please contact disabilitystatistics@cornell.edu