Frontiers in Cardiovascular Medicine (Jan 2024)

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

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

DOI
https://doi.org/10.3389/fcvm.2024.1308592
Journal volume & issue
Vol. 11

Abstract

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BackgroundThe 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.MethodsData 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.ResultsThe final analysis contained 6,830 participants, including 1,001 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 h [OR = 9.50,95%CI = (7.65,11.79)] or longer than 8 h [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.ConclusionsSnoring, 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.

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