Abstract:Purpose This study examines factors including sociodemographic characteristics, health behaviors, digital competency, and living environment on depression among the elderly in Seoul, Korea.Methods Drawn from the 2022 Seoul Aging Survey, 3,010 Seoulites aged 65 and older were selected. A multiple logistic regression analysis was conducted to determine the factors that contribute to depression among the urban elderly. The model included variables such as socioeconomic status, health status and health behaviors, … Show more
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