The association between multimorbidity patterns and physical frailty among middle-aged and older community-dwelling adults: The mediating role of depressive symptoms

Author:

Geng Yuhan1,Zhou Ming1,Liu Yangxiaoxue2,Zhao Tianshu2,Zhang Jiali2,Xin Min2,Wang Wenxin2,Zhang Gongzi2,Huang Liping2

Affiliation:

1. Medical School of Chinese PLA

2. Department of Rehabilitation Medicine, the First Medical Center of Chinese PLA General Hospital, Beijing

Abstract

Abstract

Background: This study aimed to investigate the association between multimorbidity and frailty, and the potential mediating role of depressive symptoms in Chinese middle-aged and older community-dwelling adults. Methods: We selected a total of 5232 adults with two or more chronic diseases from the China Health and Retirement Longitudinal Study (CHARLS) database. Clusters of participants with similar multimorbidity patterns were identified through fuzzy c-means cluster analyses. The cross-sectional association between multimorbidity and frailty was measured through logistic regression analyses. Mediation analysis was applied to examine direct and indirect associations within the counterfactual framework. Results: At baseline, we identified five multimorbidity patterns. Two of these patterns significantly increased the risk of frailty compared to a non-specific pattern. Depression mediated 35.20% of the effect of multimorbidity on frailty (p = 0.042). Notably, in adults aged 60 years and older, this mediation accounted for 69.84% of the total effect, surpassing the direct impact of multimorbidity on frailty. Among individuals with economic support (0.020, 95% CI: 0.002-0.040), high school education (0.062, 95% CI: 0.007-0.120), and no alcohol consumption (0.024, 95% CI: 0.003-0.050), depression entirely mediated the impact of comorbidities. Conclusions: This study reveals strong links between specific multimorbidity patterns and physical frailty, with depression significantly mediating these effects, particularly in certain populations. Findings emphasize tailored mental health interventions' necessity in specific groups. Trial registration:The data was extracted from China Health and Retirement Longitudinal Study (CHARLS). The ethical approval number of CHARLS is IRB00001052-11015.

Publisher

Springer Science and Business Media LLC

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