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ORIGINAL RESEARCH article
Front. Psychol.
Sec. Health Psychology
Volume 16 - 2025 |
doi: 10.3389/fpsyg.2025.1492495
Association Between Living Arrangements, Social Support, and Depression among Middle-aged and Older Adults: A Mediation Analysis from the CHARLS Survey
Provisionally accepted- Renmin University of China, Beijing, China
Living alone was reported to be associated with a higher risk of depression. Social support may play a crucial role in mediating this association. However, data are limited.Methods: Data for wave 5 (2020) of the China Health and Retirement Longitudinal Study (CHARLS) were extracted. Associations between living arrangements and social support or depression were assessed by multivariable logistic regression models. Causal mediation analysis under a counterfactual framework was employed to evaluate the mediation effect of social support in the association between living arrangements and depression, which was performed by fitting two logistic regression models. The mediation effect is measured by the percentage mediated.Results: A total of 17418 participants were included in this study, of which 208 (1.2%) lived alone. Compared to participants not living alone, those living alone were associated with a higher risk of low social support (10.6% vs. 3.9%; adjusted OR [aOR], 1.75; 95% CI, 1.10-2.80) and depression (15.4% vs. 7.2%; adjusted OR, 1.53; 95% CI, 1.02-2.28). Mediation analyses revealed that 2.7% (95% CI, -1.1% to 6.5%) of the relationship between living arrangements and depression was mediated by social support. Sensitivity analyses by varying definitions of living alone or limiting analysis in the elderly population yielded consistent results.Conclusions: Low social support did not mediate the association between living status and depression. Tailored strategies for improving living arrangements may needed to improve the mental health of living alone older adults.
Keywords: Living arrangement, social support, cognitive impairment, Mediation analysis, CHARLS
Received: 07 Sep 2024; Accepted: 27 Jan 2025.
Copyright: © 2025 Jin and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Fenghua Jin, Renmin University of China, Beijing, China
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