医学
糖尿病
危险系数
内科学
比例危险模型
前瞻性队列研究
疾病
冲程(发动机)
睡眠(系统调用)
队列研究
队列
内分泌学
置信区间
工程类
操作系统
机械工程
计算机科学
作者
Jing Li,Jinghua Yin,Yi Luo,Tianqi Ma,Lingfang He,Hejian Xie,Jinchen Li,Guogang Zhang,Xunjie Cheng,Yongping Bai
标识
DOI:10.1016/j.diabres.2022.109822
摘要
Aims This study aimed to assess the association of healthy sleep pattern with the risk of cardiovascular disease and all-cause mortality among people with diabetes. Methods Our study included 12,770 individuals from the UK Biobank at baseline. Sleep patterns were defined by a combination of five sleep behaviors (chronotype, sleep duration, snoring, insomnia, and excessive daytime sleepiness). The competing risk models were used to estimate the relationship between sleep patterns and CVD (including coronary heart disease [CHD] and stroke) in individuals with diabetes. To examine the association between sleep patterns and all-cause mortality risk, we utilized the flexible parametric Royston-Parmar proportion-hazard models. Results We recorded 2627 CVD events, which includes 1999 CHD and 903 S events, and 1576 all-cause mortality events. Compared to those with poor sleep pattern, individuals having healthy sleep pattern have a 24% lower CVD risk (p < 0.001), a 26% lower CHD risk (p = 0.001), a 25% lower stroke risk (p = 0.036), and a 21% lower all-cause mortality risk (p = 0.020). Conclusions Adherence to healthy sleep pattern has been significantly related to cardiovascular disease and all-cause mortality risk reduction among people with diabetes.
科研通智能强力驱动
Strongly Powered by AbleSci AI