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长睡眠时长是中国人发生房颤的独立危险因素:一项前瞻性队列研究。

Long Sleep Duration Is an Independent Risk Factor for Incident Atrial Fibrillation in a Chinese Population: A Prospective Cohort Study.

机构信息

Department of Cardiology, Tangshan People's Hospital, North China University of Science and Technology, Tangshan, China.

The Cancer Institute, Tangshan People's Hospital, Tangshan, China.

出版信息

Sci Rep. 2017 Jun 16;7(1):3679. doi: 10.1038/s41598-017-04034-8.

Abstract

There is limited information on the relation between sleep duration and incident atrial fibrillation. We aimed to investigate this association in a Chinese population using cohort data from a study in Kailuan. The analysis included 87,693 participants (age range, 18-98 years) free of atrial fibrillation at the baseline survey. Participants were divided into three categories according to self-reported sleep duration: ≤6.0 hours, 7 hours (ref), ≥8.0 hours. Atrial fibrillation diagnosis was made on a standard 12-lead electrocardiogram and via self-reported history. Cox proportional hazards models were used to calculate hazard ratio (HR) and confidence interval (CI) for atrial fibrillation, according to sleep duration. During median follow-up of 7.89 (range, 6.36-8.57) years, 322 cases of atrial fibrillation had occurred. Using 7 hours of sleep as the reference group, multivariable adjusted HRs (95% CI) for atrial fibrillation were 1.07 (0.75-1.53), 1.0 (ref), and 1.50 (1.07-2.10), from lowest to highest category of sleep duration. Secondary analysis showed no evidence of interactions between sleep duration and sex and snoring on the risk of incident atrial fibrillation (p = 0.75/0.25). We conclude long sleep duration may be a potential predictor/marker for incident atrial fibrillation.

摘要

关于睡眠时间与房颤事件之间的关系,目前的信息有限。我们旨在使用开滦研究的队列数据,调查中国人群中的这种关联。该分析包括 87693 名参与者(年龄范围为 18-98 岁),在基线调查时无房颤病史。参与者根据自我报告的睡眠时间分为三组:≤6.0 小时、7 小时(参考)、≥8.0 小时。房颤的诊断依据标准 12 导联心电图和自我报告的病史。根据睡眠时间,使用 Cox 比例风险模型计算房颤的风险比(HR)和置信区间(CI)。在中位随访 7.89 年(范围为 6.36-8.57 年)期间,发生了 322 例房颤。以 7 小时的睡眠时间为参考组,睡眠时间最低到最高组的多变量校正 HR(95%CI)分别为 1.07(0.75-1.53)、1.0(参考)和 1.50(1.07-2.10)。二次分析未发现睡眠时间与性别和打鼾对房颤发病风险的交互作用有任何证据(p=0.75/0.25)。我们的结论是,长睡眠时间可能是房颤事件的潜在预测因素/标志物。

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