AUTHOR=Hou Xin-Zheng , Li Yu-Shan , Wu Qian , Lv Qian-Yu , Yang Ying-Tian , Li Lan-Lan , Ye Xue-Jiao , Yang Chen-Yan , Wang Man-Shi , Lv Yan-Fei , Cao Lin-Lin , Wang Shi-Han 

TITLE=Association of sleep characteristics with cardiovascular disease risk in adults over 40 years of age: a cross-sectional survey

JOURNAL=Frontiers in Cardiovascular Medicine

VOLUME=Volume 11 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2024.1308592

DOI=10.3389/fcvm.2024.1308592

ISSN=2297-055X

ABSTRACT=The relationship between sleep characteristics and cardiovascular disease (CVD) risk has yet to reach a consistent conclusion, and more research needs to be carried out. This study aimed to explore the relationship between snoring, daytime sleepiness, bedtime, sleep duration, and high-risk sleep patterns with CVD risk.: Data from the National Health and Nutrition Examination Survey (NHANES) 2015-2018 were collected and analyzed. Multivariable logistic regression was used to evaluate the relationship between snoring, daytime sleepiness, bedtime, sleep duration, high-risk sleep patterns, and CVD risk. Stratified analysis and interaction tests were carried out according to hypertension, diabetes and age. Results: The final analysis contained 6830 participants, including 1001 with CVD. Multivariable logistic regression suggested that the relationship between snoring [OR=7.37,95%CI=(6.06,8.96)], daytime sleepiness [OR=11.21,95%CI=(9.60,13.08)], sleep duration shorter than 7 hours [OR=9 .50,95%CI=(7.65,11.79)] or longer than 8 hours [OR=6.61,95%CI=(5.33,8.19)], bedtime after 0:00 [OR=13.20,95%CI=(9.78,17.80)] compared to 22:00-22:59, high-risk sleep patterns [OR=47. 73,95%CI=(36.73,62.04)] and CVD risk were statistically significant. Hypertension and diabetes interacted with high-risk sleep patterns, but age did not.Conclusions: Snoring, daytime sleepiness, excessive or short sleep duration, inappropriate bedtime, and high-risk sleep patterns composed of these factors are associated with the CVD risk. High-risk sleep patterns have a more significant impact on patients with hypertension and diabetes.