Long-term Distributional Prediction of Cognitive FunctionLong-term Distributional Prediction of Cognitive Function
- Other Titles
- Long-term Distributional Prediction of Cognitive Function
- Authors
- 김영주
- Issue Date
- Feb-2024
- Publisher
- 서울대학교 경제연구소
- Keywords
- Cognitive function; Cognitive decline; Quantile regression; Prediction; Risk Factors
- Citation
- Seoul Journal of Economics, v.37, no.1, pp 75 - 98
- Pages
- 24
- Journal Title
- Seoul Journal of Economics
- Volume
- 37
- Number
- 1
- Start Page
- 75
- End Page
- 98
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/32887
- DOI
- 10.22904/sje.2024.37.1.004
- ISSN
- 1225-0279
- Abstract
- This study examines the long-term effects of diverse risk factors on the distribution of cognitive function measures, paying special attention to potential heterogeneities across different levels of cognitive function scores. It employs quantile regression techniques on a 10-year panel dataset from the Korean Longitudinal Study of Aging to assess the predictability of risk factors on cognitive decline. Findings indicate that factors such as age, education level, social interactions with close friends, and health status have more pronounced effects on cognitive function at lower quantiles of the Mini-Mental State Examination (MMSE) scores than at higher quantiles. This study also reveals that social interactions with parents, spouses, or close friends significantly predict cognitive function beyond age and education level, which are established nonmodifiable risk factors. It also identifies gender-specific predictors of cognitive function, namely, parental living status, marital status, and satisfaction with health and life for men and income and handgrip strength for women. The differential impact of these risk factors on MMSE score distribution suggests that interventions tailored according to the assessed cognitive function levels could be effective in identifying the cognitive decline risk group and implementing preventive measures.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - School of Economics > Economics Major > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/32887)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.