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Analysis of Factors Affecting Depression in Older Adults in South Koreaopen access

Authors
Kim, Ah-RamPark, Jin-HyuckPark, Hae Yean
Issue Date
Sep-2021
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Keywords
depression; Korean Longitudinal Study of Aging (KLoSA); machine learning; older adult
Citation
International Journal of Environmental Research and Public Health, v.18, no.18, pp 103 - 111
Pages
9
Journal Title
International Journal of Environmental Research and Public Health
Volume
18
Number
18
Start Page
103
End Page
111
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/21207
DOI
10.3390/ijerph18189887
ISSN
1661-7827
1660-4601
Abstract
Objective: This study aimed to analyze the factors affecting depression among South Korean middle-aged and older adults using data from the Korean Longitudinal Study of Aging. Methods: We analyzed data regarding demographic characteristics, lifestyle, quality of life, cognitive level, and depression. Cognitive level and depression were evaluated using the Korean-Mini-Mental Status Examination and Center for Epidemiological Studies Depression Scale, respectively. Results: Depression was correlated with age, gender, residential area, level of education, alcohol intake, regular exercise, life satisfaction, and cognitive level, but not smoking. Furthermore, depression was highly affected by age, residential area, regular exercise, life satisfaction, and cognitive level, with a prediction accuracy of 80.26% achieved through machine learning analysis. Conclusions: Various factors are associated with depression in middle-aged and older adults. Therefore, multifaceted interventions for preventing depression in these age groups are required.
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