详细信息
Sleep duration and cardiovascular disease causal association: A two-sample Mendelian randomization study ( SCI-EXPANDED收录) 被引量:1
文献类型:期刊文献
英文题名:Sleep duration and cardiovascular disease causal association: A two-sample Mendelian randomization study
作者:Xu, Haixia[1,2];Xu, Peng[1];Li, Mengqi[3];Jiang, Yinhao[1];Xu, Jianfeng[1];Feng, Weizhong[1];Jin, Libo[1];Li, Linqi[4];Wu, Jiacheng[1]
机构:[1]Shaoxing Peoples Hosp, Dept Cardiovasc Surg, 568 Zhongxing North Rd, Shaoxing 312000, Zhejiang, Peoples R China;[2]Shaoxing Univ, Sch Med, Shaoxing 312000, Zhejiang, Peoples R China;[3]Shaoxing Cent Hosp, Dept Geriatr, Shaoxing 312030, Zhejiang, Peoples R China;[4]Shaanxi Univ Chinese Med, Clin Med Coll 2, Xian 712046, Shaanxi, Peoples R China
年份:2025
卷号:74
起止页码:1
外文期刊名:HEART & LUNG
收录:SCI-EXPANDED(收录号:WOS:001508494000001)、、Scopus(收录号:2-s2.0-105007451061)、WOS
基金:This study was supported by Zhejiang Province medical and health science and technology Project (2023KY1243, Haixia Xu) and Shaoxing City General Scientific Research Project (2023A14025, Weizhong Feng).
语种:英文
外文关键词:Sleep duration; Cardiovascular disease; Mendelian randomization; Genome-wide association studies; Genetic variants
外文摘要:Background: An increasing number of studies have recently suggested a relationship between sleep duration and cardiovascular disease (CVD). However, a correlation between the two has not been studied. Objective: The aim of this study was to investigate a correlation between sleep duration and CVD. Methods: This study is based on summary data from genome-wide association studies (GWAS), across various races, regarding sleep duration and 12 major cardiovascular diseases. We utilized two-sample Mendelian randomization (MR), a method specifically designed to analyze correlation, to investigate whether sleep duration directly affects risk of developing CVD. Our primary analysis used the inverse variance weighting (IVW) method to examine the effect of sleep duration on multiple cardiovascular conditions. Additionally, we employed maximum likelihood, MR-Egger regression, weighted median, and weighted mode methods to ensure the robustness of our findings. Results: This study revealed a correlation between over-sleeping and three cardiovascular conditions (valvular heart disease, myocardial infarction, and heart failure) with significant negative correlations (P < 0.05). No significant correlation was found with the remaining nine cardiovascular conditions (P > 0.05). Furthermore, we found that under-sleeping had a correlation with four cardiovascular conditions (non-ischemic cardiomyopathy, cardiac arrhythmias, valvular heart disease, and atrial fibrillation) with significant positive correlations (P < 0.05) butnot with the remaining eight cardiovascular conditions (P > 0.05). Conclusion: Over-sleeping was negatively correlated with several cardiovascular diseases, whereas under-sleeping was positively correlated with others, suggesting that lack of sleep may increase the risk of certain cardiovascular conditions.
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