从可穿戴生理监视器的客观睡眠特征和事件心房动之间的关联
Mohammad Hosein Yazdanpanah1, Farhan Naeem1, Mohamed Doma1
1Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, Massachusetts, USA.
JACC. Advances
|January 22, 2026
概括
客观测量的睡眠时间和阶段,特别是延长的总睡眠和增加的轻睡眠,与较高的心房动风险有关. 减少深度和REM睡眠也与增加的AF发病率相关.
科学领域:
- 心脏病学 心脏病学
- 睡眠医学 睡眠医学
- 流行病学 流行病学
背景情况:
- 现有的研究表明,睡眠和心房动 (AF) 之间存在联系.
- 以前的研究通常依赖于自我报告的睡眠数据,缺乏详细的睡眠架构信息.
- 对客观测量的睡眠对事件AF的预测价值尚不清楚.
研究的目的:
- 调查客观测量的睡眠参数与AF发生率之间的关系.
- 分析总睡眠时间,睡眠阶段和大量,多样化的人口中新发性AF之间的关联.
主要方法:
- 利用了来自52,952名"我们所有人"研究计划的参与者的可穿戴式睡眠数据.
- 排除了基线AF或极端睡眠时间 (不到3小时或超过16小时) 的个体.
- 采用Cox比例危险模型来评估事件AF的风险,平均随访时间为935天.
主要成果:
- 事件AF与年龄较大,男性性别,白人种族,吸烟和并发症有关.
- 较长的总睡眠时间 (>9小时) 与相比6-9小时的AF风险增加47%有关.
- 增加轻度睡眠和长时间非主睡眠与更高的AF风险有关,而更深的睡眠阶段显示出相反的关联.
结论:
- 客观测量的睡眠参数独立预测AF风险.
- 长时间的总睡眠,增加的轻睡眠和减少的深度/REM睡眠与发生的AF有关.
- 这些发现表明,睡眠参数可以帮助AF风险分层和预防策略.
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