Qiao Chunhong, Zhang Hui, Song Qi, Wang Xi, Wang Xiaofeng, Yao Yin
Department of Biostatistics and Computational Biology, School of Life Sciences, Fudan University, Shanghai, China.
Human Phenome Institute, Fudan University, Shanghai, China.
Front Psychiatry. 2021 Dec 8;12:731371. doi: 10.3389/fpsyt.2021.731371. eCollection 2021.
To investigate the cross-sectional and longitudinal relationships between sleep disturbances and depressive symptoms in older Chinese adults. This study included baseline and 3.5-year follow-up data of 1,631 Chinese men and women aged 70 years or older from the aging arm of the Rugao Longevity and Aging Study. Depressive symptoms were assessed by the 15-item Geriatric Depression Scale (GDS). Sleep disturbances were assessed by using the Pittsburgh Sleep Quality Index (PSQI). Logistic regression models were used to estimate the odds ratios (ORs) of the associations. In the cross-sectional analysis, individuals with greater total PSQI scores exhibited significantly higher risk of "depressive symptoms" (OR: 1.31, 95% CI: 1.21-1.41) and "some depressive symptoms" (OR: 1.22, 95% CI: 1.17-1.28). Specifically, higher scores on the sleep efficiency PSQI subscale were associated with greater odds for "depressive symptoms" (OR: 1.54, 95% CI: 1.30-1.84) and "some depressive symptoms" (OR: 1.42, 95% CI: 1.29-1.57). Our longitudinal analyses indicated an association between greater PSQI total scores at baseline and greater odds of having "some depressive symptoms" at follow-up (OR: 1.07, 95% CI: 1.00-1.14). Additionally, higher scores on the sleep efficiency PSQI subscale had an association with higher odds for "some depressive symptoms" (OR: 1.21, 95% CI: 1.04-1.41). Poor self-reported global sleep quality and sleep efficiency PSQI subscale scores were associated with levels of depressive symptoms in an older Chinese population, indicating that global sleep quality and sleep efficiency may be risk factors for depression and can possibly predict the levels of depressive symptoms.
为研究中国老年人群睡眠障碍与抑郁症状之间的横断面及纵向关系。本研究纳入了如皋长寿与衰老研究中1631名70岁及以上中国男性和女性的基线数据及3.5年随访数据。采用15项老年抑郁量表（GDS）评估抑郁症状。使用匹兹堡睡眠质量指数（PSQI）评估睡眠障碍。采用逻辑回归模型估计关联的比值比（OR）。在横断面分析中，PSQI总分较高的个体出现“抑郁症状”（OR：1.31，95%CI：1.21 - 1.41）和“轻度抑郁症状”（OR：1.22, 95%CI：1.17 - 1.28）的风险显著更高。具体而言，PSQI睡眠效率子量表得分较高与出现“抑郁症状”（OR：1.54, 95%CI：1.30 - 1.84）和“轻度抑郁症状”（OR：1.42, 95%CI：1.29 - 1.57）的较高几率相关。我们的纵向分析表明，基线时较高的PSQI总分与随访时出现“轻度抑郁症状”的较高几率相关（OR：1.07, 95%CI：1.00 - 1.14）。此外，PSQI睡眠效率子量表得分较高与出现“轻度抑郁症状”的较高几率相关（OR：1.21, 95%CI：1.04 - 1.41）。自我报告的总体睡眠质量差和PSQI睡眠效率子量表得分与中国老年人群的抑郁症状水平相关，表明总体睡眠质量和睡眠效率可能是抑郁的危险因素，并可能预测抑郁症状水平。
