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老年人社会经济地位与抑郁之间的关系:认知功能和睡眠质量的作用
Authors Zheng Y, Zhang Y, Ye M, Qian Z, Zheng G
Received 5 February 2025
Accepted for publication 21 May 2025
Published 9 June 2025 Volume 2025:18 Pages 1295—1306
DOI https://doi.org/10.2147/PRBM.S504312
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 4
Editor who approved publication: Dr Bao-Liang Zhong
Yilin Zheng,1 Yu Zhang,2 Mingzhu Ye,2 Zhiwang Qian,2 Guohua Zheng2
1Shanghai Institute for Global City, Shanghai Normal University, Shanghai, 200234, People’s Republic of China; 2School of Nursing and Health Management, Shanghai University of Medicine & Health Sciences, Shanghai, 201318, People’s Republic of China
Correspondence: Guohua Zheng, School of Nursing and Health Management, Shanghai University of Medicine & Health Sciences, Shanghai, 201318, People’s Republic of China, Tel +86-021-6588-3683, Email zhenggh@sumhs.edu.cn
Background: Socioeconomic status (SES) is an important social factor associated with a wide range of health outcomes, but this relationship could be influenced by individual’s intrinsic factors. The aim of this study was to examine the relationship between SES and depressive symptoms, the mediating role of cognitive function, and the moderating role of sleep quality in community-dwelling older adults.
Methods: A total of 1000 community-dwelling older adults were recruited for the cross-sectional study. Socioeconomic factors, cognitive function, sleep quality, and related covariates were investigated or assessed. Mediating and moderating effects were analyzed using R 4.2.2 and SPSS 25.0 software.
Results: The results showed that SES was negatively associated with depressive symptoms (β=− 0.234, p< 0.001) and positively associated with cognitive function (β=0.566, p< 0.001) after controlling for covariates; cognitive function played a partial mediating role between SES and depressive symptoms, and the indirect effect was β=− 0.09 (95% CI: − 0.129~ − 0.06, p< 0.001), accounting for 38.5% of the total effect; and sleep quality positively moderated the mediating effect of cognitive function on relationship between SES and depressive symptoms (βsleep ×cognition =− 0.015, p< 0.05).
Conclusion: Depressive symptoms in community-dwelling older adults are affected by their SES and cognitive function. Improving individual cognitive ability and sleep quality can effectively reduce depression in community-dwelling older adults with low SES.
Keywords: socioeconomic status, depressive symptoms, cognitive function, sleep quality, cross-sectional study