Jing Li1, Jinghua Yin1, Yi Luo1, Tianqi Ma1, Lingfang He1, Hejian Xie1, Jinchen Li2, Guogang Zhang3, Xunjie Cheng4, Yongping Bai5. 1. Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China. 2. National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China; Department of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha 410008, China. 3. Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha 410008, China; Department of Cardiovascular Medicine, The Third Xiangya Hospital, Central South University, Changsha 410013, China. 4. Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China. Electronic address: linqiuyucheng@163.com. 5. Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China. Electronic address: baiyongping@csu.edu.cn.
Abstract
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.
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.