Dynamic Interactions Among Sleep Duration, Cognitive Function, and Depressive Symptoms in Middle-Aged and Older Chinese Adults: Temporal Network Analysis From CHARLS.

IF 4.8 Q1 GERIATRICS & GERONTOLOGY
JMIR Aging Pub Date : 2025-09-16 DOI:10.2196/76210
Furong Chen, Jiaying Li, Junchen Guo, Ying Xiong, Zengjie Ye
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引用次数: 0

Abstract

Background: While bidirectional associations among sleep duration, cognitive function, and depression are established, the symptom-level temporal interactions among these factors in China's aging population, which is experiencing unprecedented growth, remain poorly characterized.

Objective: We aim to use a novel temporal network analysis to clarify these dynamics and guide targeted interventions, with a focus on sex-specific dynamic pathways.

Methods: We conducted a longitudinal temporal network analysis on 3136 Chinese adults aged ≥45 years from the China Health and Retirement Longitudinal Study (CHARLS) across 5 waves (2011, 2013, 2015, 2018, and 2020). A graphical vector autoregressive (GVAR) model delineated the interdependencies among sleep duration, cognitive performance (assessed via the Mini-Mental State Examination [MMSE]), and depressive symptoms (evaluated with the 10-item Center for Epidemiologic Studies Depression Scale [CESD-10]). We also examined sex-specific differences in network structures.

Results: The symptom "bothered" was found to predict all other CESD-10 symptoms. There were significant predictive links between sleep and the CESD-10 node (ie, bothered, drained, and depressed), along with sleep and the MMSE functions (ie, numerical ability). Furthermore, sleep duration served as a bridge between depression symptoms and cognitive functions. There were significant differences in longitudinal network structure between sexes. Sex-specific analyses revealed distinct network patterns. Among female participants, the "bothered" node significantly predicted several outcomes over time. In contrast, the temporal network for male participants was sparser, with the "stuck" node in the depression domain being predominantly influenced by other nodes.

Conclusions: Our study revealed that emotional distress, especially the "bothered" symptom, plays a central role in depressive symptoms and cognitive decline. The bridging effect of short sleep duration underscores the potential of interventions targeting both sleep and emotional distress for alleviating depressive symptoms and delaying cognitive deterioration in older adults.

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中国中老年人睡眠时间、认知功能和抑郁症状之间的动态相互作用:CHARLS的时间网络分析
背景:虽然睡眠时间、认知功能和抑郁之间存在双向关联,但在经历前所未有增长的中国老龄化人口中,这些因素之间的症状水平时间相互作用仍然缺乏特征。目的:我们的目标是使用一种新的时间网络分析来澄清这些动态并指导有针对性的干预,重点关注性别特异性动态途径。方法:我们对来自中国健康与退休纵向研究(CHARLS)的3136名年龄≥45岁的中国成年人进行了纵向时间网络分析,分5个波(2011年、2013年、2015年、2018年和2020年)。图形向量自回归(GVAR)模型描述了睡眠时间、认知表现(通过迷你精神状态检查[MMSE]评估)和抑郁症状(用10项流行病学研究中心抑郁量表[csd -10]评估)之间的相互依赖性。我们还研究了网络结构的性别差异。结果:发现“困扰”症状可预测所有其他csd -10症状。睡眠与csd -10节点(即烦恼、枯竭和抑郁)以及睡眠与MMSE功能(即计算能力)之间存在显著的预测联系。此外,睡眠时间是抑郁症状和认知功能之间的桥梁。两性在纵向网络结构上存在显著差异。性别特异性分析揭示了不同的网络模式。在女性参与者中,随着时间的推移,“烦恼”节点显著地预测了几种结果。相比之下,男性参与者的时间网络更稀疏,抑郁域的“卡住”节点主要受到其他节点的影响。结论:我们的研究表明,情绪困扰,特别是“困扰”症状,在抑郁症状和认知能力下降中起着核心作用。短睡眠时间的桥接效应强调了针对睡眠和情绪困扰的干预措施在减轻老年人抑郁症状和延缓认知退化方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
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