Analysis of Factors Affecting Depression in Older Adults in South Korea

Ah-Ram Kim, Jin-Hyuck Park and Hae Yean Park
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Ah-Ram Kim: Department of Occupational Therapy, Graduate School, Yonsei University, Wonju 26493, Korea
Jin-Hyuck Park: Department of Occupational Therapy, Soonchunhyang University, Asan 31538, Korea
Hae Yean Park: Department of Occupational Therapy, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju 26493, Korea

IJERPH, 2021, vol. 18, issue 18, 1-10

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.

Keywords: depression; Korean Longitudinal Study of Aging (KLoSA); machine learning; older adult (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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