Bidirectional association between ADL disability and depressive symptoms among older adults: longitudinal evidence from CHARLS.

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Scientific Reports Pub Date : 2025-02-28 DOI:10.1038/s41598-025-91680-y
Wenjing Yan, Lina Wang, Chao Li, Yihan Meng, Qi Guo, Hongjuan Li
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Abstract

This study investigates the bidirectional relationship between Activities of Daily Living (ADL) disability and depressive symptoms (DS) among middle-aged and older adults in China, utilizing data from the China Health and Retirement Longitudinal Study (CHARLS) from 2015 to 2018. A total of 8994 participants were analyzed to assess the impact of ADL on the risk of depressive symptoms, while 9673 participants were included to examine the influence of depressive symptoms on the risk of ADL disability. Cox proportional hazards regression models were employed to evaluate these relationships, adjusting for sociodemographic, lifestyle, and health-related covariates. Results revealed that ADL disability significantly increased the risk of depressive symptoms (HR = 1.090, 95% CI 1.058-1.123), and depressive symptoms were associated with a higher risk of ADL disability (HR = 1.033, 95% CI 1.025-1.042). Subgroup analyses demonstrated that factors such as education level, social activity, and disability significantly modified the relationship between ADL and depressive symptoms, while age, marital status, and pain influenced the association between depressive symptoms and ADL. Sensitivity analyses confirmed the robustness of these findings. This study highlights the complex interplay between ADL and depressive symptoms, emphasizing the need for targeted interventions to mitigate the risk of depression and improve functional independence in aging populations.

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老年人ADL功能障碍与抑郁症状之间的双向关联:CHARLS的纵向证据
本研究利用2015 - 2018年中国健康与退休纵向研究(CHARLS)的数据,探讨了中国中老年人日常生活活动(ADL)残疾与抑郁症状(DS)之间的双向关系。共分析了8994名参与者,以评估ADL对抑郁症状风险的影响,同时包括9673名参与者,以研究抑郁症状对ADL残疾风险的影响。采用Cox比例风险回归模型评估这些关系,调整社会人口统计学、生活方式和健康相关协变量。结果显示,ADL残疾显著增加抑郁症状的风险(HR = 1.090, 95% CI 1.058-1.123),抑郁症状与ADL残疾的高风险相关(HR = 1.033, 95% CI 1.025-1.042)。亚组分析表明,教育水平、社会活动和残疾等因素显著改变了ADL与抑郁症状之间的关系,而年龄、婚姻状况和疼痛影响抑郁症状与ADL之间的关系。敏感性分析证实了这些发现的稳健性。这项研究强调了ADL和抑郁症状之间复杂的相互作用,强调了有针对性的干预措施的必要性,以减轻老年人群的抑郁风险和改善功能独立性。
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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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