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Association of sleep characteristics with cardiovascular disease risk in adults over 40 years of age: a cross-sectional survey.
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.
Afiliação
  • Hou XZ; Department of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
  • Li YS; College of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
  • Wu Q; Department of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
  • Lv QY; Department of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
  • Yang YT; Department of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
  • Li LL; Department of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
  • Ye XJ; Department of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
  • Yang CY; Department of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
  • Wang MS; Department of Cardiovascular Diseases, Guangwai Hospital, Beijing, China.
  • Lv YF; Shanghai Qianhe Technology Co., Ltd., Shanghai, China.
  • Cao LL; Department of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
  • Wang SH; Department of Cardiovascular Diseases, Guang anmen Hospital Affiliated to China Academy of Chinese Medical Sciences, Beijing, China.
Front Cardiovasc Med ; 11: 1308592, 2024.
Article em En | MEDLINE | ID: mdl-38327493
ABSTRACT

Background:

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.

Methods:

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 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 000 [OR = 13.20,95%CI = (9.78,17.80)] compared to 2200-2259, 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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article