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KMID : 0858820160330010013
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Journal of Korean Society for Health Education and Promotion
2016 Volume.33 No. 1 p.13 ~ p.22
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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
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전현규:Jeon Hyun-Gyu
심재문:Sim Jae-Mun/이건창:Lee Kun-Chang
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Abstract
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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.
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KEYWORD
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KNHANES, depression in the elderly, stress, logistic regression
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