Geng Yuhan, Zhou Ming, Liu Yangxiaoxue, Zhao Tianshu, Zhang Jiali, Xin Min, Wang Wenxin, Zhang Gongzi, Huang Liping
Medical School of Chinese PLA, Beijing, China.
Department of Rehabilitation Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Front Public Health. 2025 May 1;13:1527982. doi: 10.3389/fpubh.2025.1527982. eCollection 2025.
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.
We selected a total of 5,232 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.
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 ( = 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.
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.
本研究旨在调查中国社区中老年成年人中多种疾病并存与身体虚弱之间的关联,以及抑郁症状在其中可能起到的中介作用。
我们从中国健康与养老追踪调查(CHARLS)数据库中选取了5232名患有两种或更多种慢性病的成年人。通过模糊c均值聚类分析确定了具有相似多种疾病并存模式的参与者群体。通过逻辑回归分析测量多种疾病并存与身体虚弱之间的横断面关联。应用中介分析在反事实框架内检验直接和间接关联。
在基线时,我们确定了五种多种疾病并存模式。与一种非特定模式相比,其中两种模式显著增加了身体虚弱的风险。抑郁介导了多种疾病并存对身体虚弱影响的35.20%(β = 0.042)。值得注意的是,在60岁及以上的成年人中,这种中介作用占总效应的69.84%,超过了多种疾病并存对身体虚弱的直接影响。在有经济支持(β = 0.020,95%置信区间:0.002 - 0.040)、高中教育程度(β = 0.062,95%置信区间:0.007 - 0.120)和不饮酒(β = 0.024,95%置信区间:0.003 - 0.050)的个体中,抑郁完全介导了合并症的影响。
本研究揭示了特定的多种疾病并存模式与身体虚弱之间的紧密联系,抑郁显著介导了这些影响,尤其是在某些人群中。研究结果强调了针对特定群体进行心理健康干预的必要性。