Zheng Kun, Wu Mengdi, Cao Yanjie, Wang Junhua, Zhu Huijing, Li Bowen, Yang Yifeng, Hu Yue, Ren Qitao, Lan Xiaohua, Pan Xiuming
Department of Cardiology, Air Force Medical Center, Beijing, 100142, China.
Graduate School of China Medical University, Shenyang, 110122, Liao Ning Province, China.
Sci Rep. 2025 Apr 28;15(1):14791. doi: 10.1038/s41598-025-99631-3.
Circadian rhythm disruption is increasingly prevalent and associated with higher morbidity and mortality. This study investigates the relationship between Circadian Rhythm Syndrome (CircS) and mortality in middle-aged and older adults. This prospective cohort study utilized mortality follow-up data from the China Health and Retirement Longitudinal Study (CHARLS) and the National Health and Nutrition Examination Survey (NHANES). Cox proportional hazards models examined the association between CircS and all-cause mortality, while restricted cubic spline analysis explored non-linear relationships. Subgroup analyses investigated potential modifying factors. Cox models and Bayesian generalized linear models were used to explore relationships between CircS and specific causes of death. The study included 7,637 participants from CHARLS (2011-2020) and 9,320 participants from NHANES (2005-2018), with 142 and 1,321 all-cause deaths. The follow-up periods were 9.17 years for CHARLS and 15 years for NHANES. CircS was significantly associated with increased all-cause mortality risk (CHARLS: HR 1.79, 95% CI: 1.23-2.62; NHANES: HR 1.21, 95% CI: 1.03-1.42). A linear dose-response relationship was observed between the number of CircS components and mortality risk. CircS was positively associated with mortality from diabetes, cardiovascular, cerebrovascular, and kidney-related diseases. CircS is strongly associated with increased mortality risk. These findings underscore the importance of addressing circadian disruptions in public health strategies.
昼夜节律紊乱日益普遍，且与更高的发病率和死亡率相关。本研究调查了昼夜节律综合征（CircS）与中老年成年人死亡率之间的关系。这项前瞻性队列研究利用了中国健康与养老追踪调查（CHARLS）和美国国家健康与营养检查调查（NHANES）的死亡率随访数据。Cox比例风险模型检验了CircS与全因死亡率之间的关联，而受限立方样条分析探索了非线性关系。亚组分析调查了潜在的修正因素。使用Cox模型和贝叶斯广义线性模型来探索CircS与特定死因之间的关系。该研究纳入了来自CHARLS（2011 - 2020年）的7637名参与者和来自NHANES（2005 - 2018年）的9320名参与者，分别有142例和1321例全因死亡。CHARLS的随访期为9.17年，NHANES的随访期为15年。CircS与全因死亡风险增加显著相关（CHARLS：风险比1.79，95%置信区间：1.23 - 2.62；NHANES：风险比1.21，95%置信区间：1.03 - 1.42）。观察到CircS成分数量与死亡风险之间存在线性剂量反应关系。CircS与糖尿病、心血管、脑血管和肾脏相关疾病导致的死亡呈正相关。CircS与死亡风险增加密切相关。这些发现强调了在公共卫生策略中解决昼夜节律紊乱问题的重要性。
