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The Factors Related to Depressive Symptoms in Urban Older Adults in South Korea: a Study Based on the Seoul Aging Survey

Overview
Journal BMC Geriatr
Publisher Biomed Central
Specialty Geriatrics
Date 2024 Aug 1
PMID 39090560
Authors
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Abstract

Purpose: This study aims to comprehensively examine the determinants of depression among urban older adults in Seoul, utilizing the social-ecological model to address multifaceted influences.

Methods: A comprehensive analysis was conducted using data from the 2022 Seoul Aging Survey, which surveyed 2,914 individuals aged 65 and above. A multiple logistic regression analysis was performed to identify factors contributing to depressive symptoms, including socio-demographic characteristics, health behaviors and status, research accessibility, social support, and environmental influences.

Results: This study revealed that poor subjective health (OR = 1.47) and the presence of multiple chronic diseases (OR = 1.59) significantly increased the risk of depressive symptoms among urban older adults. From a social support standpoint, living alone was associated with a higher risk of depression (OR = 1.66), low food security (OR = 2.56), and low digital competency (OR = 2.70) were all significant predictors of depressive symptoms. Additionally, a lack of engagement with cultural facilities (OR = 2.15) was identified as a critical environmental factor contributing to depression.

Conclusions: The findings underscore the need for comprehensive policy and practical interventions aimed at preventing chronic disease, enhancing social support networks, improving digital literacy, ensuring food security, and expanding access to healthcare and cultural facilities. Such measures are crucial in mitigating depression among urban older adults, thereby enhancing their overall well-being and quality of life.

Citing Articles

The association between digital technology use and depression among older people in China: a moderated mediation model.

Wu Q, He W, Wang J, Du L, Xue X, He Q Front Psychiatry. 2025; 16:1457967.

PMID: 39995949 PMC: 11847860. DOI: 10.3389/fpsyt.2025.1457967.

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