Lin LiHan, Dai YiLing, Huang JiaJun, Zheng Wei, Liu YiPing
College of Physical Education, Huaqiao University, Quanzhou, China.
Provincial University Key Laboratory of Exercise and Health Science, School of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
PLoS One. 2025 Aug 11;20(8):e0329797. doi: 10.1371/journal.pone.0329797. eCollection 2025.
Although insufficient sleep is a known risk factor for depressive symptoms among middle-aged and older adults, prior studies have mostly focused on baseline sleep duration. This study investigates the association between changes in sleep duration and the risk of incident depressive symptoms in this population.
This study utilized data from the China Health and Retirement Longitudinal Survey (CHARLS), covering waves from 2011 to 2018. Sleep duration was assessed through self-report and categorized as short (<6 h/day), normal (6-8 h/day), and long (> 8 h/day). Changes in sleep duration were determined based on measurements at baseline and the 2-year follow-up. Depressive symptoms were evaluated using the 10-item Center for Epidemiological Studies Depression Scale (CESD-10). Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models after adjusting for potential confounders, and sensitivity analyses were conducted to assess the robustness of the associations by applying alternative cut-off values for sleep duration classification and by conducting stratified subgroup analyses.
A total of 5,636 participants (female: 44.7%, mean age: 58.1 ± 8.8 years) were included. During a median follow-up of 4.14 years, 1,656 participants developed depressive symptoms. Short sleep at baseline was associated with a higher risk of depressive symptoms (HR = 1.33, 95% CI: 1.22-1.45). A change from normal to short sleep further increased the risk (HR = 1.48, 95% CI: 1.24-1.76), suggesting a greater hazard than baseline short sleep alone. A change from long to short sleep also elevated the risk (HR = 1.49, 95% CI: 1.16-1.91). These associations remained robust in sensitivity analyses.
Among Chinese adults aged 45 years and older, maintaining a normal sleep duration and avoiding a shift to short sleep may help prevent the onset of depression. Individuals who experience a marked decline in sleep duration should be considered a key target population for the prevention of depressive symptoms.
尽管睡眠不足是中老年人出现抑郁症状的已知风险因素,但先前的研究大多集中在基线睡眠时间上。本研究调查了睡眠时间变化与该人群新发抑郁症状风险之间的关联。
本研究使用了中国健康与养老追踪调查(CHARLS)2011年至2018年的数据。睡眠时间通过自我报告进行评估,并分为短睡眠(<6小时/天)、正常睡眠(6-8小时/天)和长睡眠(>8小时/天)。睡眠时间的变化根据基线测量和2年随访确定。使用10项流行病学研究中心抑郁量表(CESD-10)评估抑郁症状。在调整潜在混杂因素后,使用Cox比例风险模型估计风险比(HR)和95%置信区间(CI),并通过应用睡眠时间分类的替代临界值和进行分层亚组分析进行敏感性分析,以评估关联的稳健性。
共纳入5636名参与者(女性:44.7%,平均年龄:58.1±8.8岁)。在中位随访4.14年期间,1656名参与者出现抑郁症状。基线时的短睡眠与抑郁症状风险较高相关(HR=1.33,95%CI:1.22-1.45)。从正常睡眠变为短睡眠会进一步增加风险(HR=1.48,95%CI:1.24-1.76),表明比仅基线时的短睡眠危害更大。从长睡眠变为短睡眠也会增加风险(HR=1.49,95%CI:1.16-1.91)。这些关联在敏感性分析中仍然稳健。
在45岁及以上的中国成年人中,保持正常睡眠时间并避免转变为短睡眠可能有助于预防抑郁症的发作。睡眠时间显著下降的个体应被视为预防抑郁症状的关键目标人群。