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http://dx.doi.org/10.14367/kjhep.2016.33.1.13

An empirical approach to analyzing effects of disease and activity limit on depression prevalence rate in the elderly depending on stress experience: KNHANES Data Analysis  

Jeon, Hyeon Gyu (Health Mining Research Center, SKKU Business School, Sungkyunkwan University)
Sim, Jae Mun (Health Mining Research Center, SKKU Business School, Sungkyunkwan University)
Lee, Kun Chang (Health Mining Research Center, SKKU Business School, Sungkyunkwan University)
Publication Information
Korean Journal of Health Education and Promotion / v.33, no.1, 2016 , pp. 13-22 More about this Journal
Abstract
Objectives: By using six years of KNHANES dataset (2008~2013) about 60 ages older people, we analyzed how the depression prevalence rate in the elderly is influenced by disease and activity limit. Especially, to add a sense of more reality, we adopted stress experience as a control variable to see how the depression prevalence rate in the elderly is influenced by disease and activity limit depending on the stress experience. Methods : We adopted six years of KNHANES dataset, indicating that our results were based on long period of time capable of considering temporal patterns in the depression prevalence rate in the elderly. Total 1,160 elderly people in KNHANES were selected for our empirical analyses. Dependent variable is either 0 or 1 depending on whether the elderly people feel depression. Main explanatory variables for our study include disease and activity limit. Logistic regression analysis was applied for two group such as stress experience and non-experience. Results : According to the empirical results, stress factor is found to be significant in explaining the depression in the elderly. Depression prevalence rate increased when the elderly has stress experience: chronical disease(OR=1.650), chronical disease with activity limit(OR=3.388), non-chronical disease with stress(OR=11.841) chronical disease with stress (OR=13.561) and chronical disease with activity limit and stress(OR=28.691). Conclusions: The finding suggest that the Countermeasures of elderly's depression alleviation should include stress management.
Keywords
KNHANES; depression in the elderly; stress; logistic regression;
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