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慢性肺部疾病中老年患者握力、睡眠时间及合并症与抑郁症状的关联:基于中国健康与养老追踪调查(CHARLS)数据的横断面网络分析

Association of grip strength, sleep duration, and comorbidities with depressive symptoms in middle-aged and older patients with chronic lung diseases: a cross-sectional network analysis based on CHARLS data.

作者信息

Li Lu, Meng Jiaqi, Wu Yinxiang, Bu Xiaoyuan, Gao Liping, Xiao Zhiwei, Chen Jiquan

机构信息

Department of Pulmonary and Critical Care Medicine, Third Affiliated Hospital of Naval Medical University, Shanghai, China.

出版信息

Front Psychol. 2024 Nov 27;15:1472766. doi: 10.3389/fpsyg.2024.1472766. eCollection 2024.

Abstract

BACKGROUND

Depressive symptoms are prevalent among patients with chronic lung diseases (CLDs) and adversely impact their quality of life. This study aims to explore the association of grip strength (GS), sleep duration, and comorbidities with depressive symptoms in patients with CLDs, with an in-depth analysis of the underlying mechanisms.

METHODS

Based on data from the China Health and Retirement Longitudinal Study (CHARLS), this study included participants aged 45 and above with diagnosed CLDs. Depressive symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10). Binary logistic regression, subgroup analysis, and network analysis were conducted to examine the intricate relationships between GS, sleep duration, comorbidities, and specific depressive symptoms.

RESULTS

Among the 1,427 participants, 39.8% exhibited depressive symptoms. Adjusted analyses revealed that GS (OR = 0.964, 0.001) and sleep duration (OR = 0.808, 0.001) were negatively associated with depressive symptoms, whereas the number of comorbid chronic diseases (OR = 1.189, 0.001) showed a significant positive correlation with depressive symptoms. Subgroup analyses demonstrated variations in these relationships across different demographic characteristics and lifestyle factors. Network analysis pinpointed "depressed" as the core symptom, with "annoyed," "exhausted," and "lonely" as secondary core symptoms. The robust associations between specific factors and depressive symptoms (GS with "annoyed," sleep and comorbid chronic diseases with "depressed") suggested potential targets for interventions.

CONCLUSION

This study underscores the complex interplay of GS, sleep duration, and comorbidities with depressive symptoms in patients with CLDs. These findings offer new perspectives for improving the mental health of this vulnerable population.

摘要

背景

抑郁症状在慢性肺部疾病(CLD)患者中普遍存在,并对他们的生活质量产生负面影响。本研究旨在探讨握力(GS)、睡眠时间和合并症与CLD患者抑郁症状之间的关联,并深入分析其潜在机制。

方法

基于中国健康与养老追踪调查(CHARLS)的数据,本研究纳入了年龄在45岁及以上且被诊断为CLD的参与者。使用10项流行病学研究中心抑郁量表(CESD-10)评估抑郁症状。进行二元逻辑回归、亚组分析和网络分析,以检验GS、睡眠时间、合并症与特定抑郁症状之间的复杂关系。

结果

在1427名参与者中,39.8%表现出抑郁症状。调整分析显示,GS(OR = 0.964,P < 0.001)和睡眠时间(OR = 0.808,P < 0.001)与抑郁症状呈负相关,而合并慢性疾病的数量(OR = 1.189,P < 0.001)与抑郁症状呈显著正相关。亚组分析表明,这些关系在不同的人口统计学特征和生活方式因素中存在差异。网络分析确定“抑郁”为核心症状,“烦恼”、“疲惫”和“孤独”为次要核心症状。特定因素与抑郁症状之间的稳健关联(GS与“烦恼”、睡眠和合并慢性疾病与“抑郁”)提示了潜在的干预靶点。

结论

本研究强调了GS、睡眠时间和合并症与CLD患者抑郁症状之间的复杂相互作用。这些发现为改善这一弱势群体的心理健康提供了新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbfd/11632308/250a5c678730/fpsyg-15-1472766-g001.jpg

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