相关实验视频
Updated: Jan 17, 2026

07:40
Multi-Modal Home Sleep Monitoring in Older Adults
Published on: January 26, 2019
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在RECOVER成年人队列中,可穿戴设备衍生的睡眠测量与长期COVID有关
Sairam Parthasarathy1, Shari Brosnahan2, Solveig Sieberts3
1University of Arizona.
Research square
|September 15, 2025
概括
可穿戴睡眠数据显示,在长期COVID (LC) 患者中存在显著差异. 这些发现表明可穿戴设备可以帮助检测LC并跟踪治疗的有效性.
科学领域:
- 睡眠科学 睡眠科学
- 数字健康数字健康
- 纵向队列研究 纵向队列研究
背景情况:
- 长期COVID (LC) 呈现出多样化的症状,影响患者的生活质量.
- 可穿戴设备收集大量与睡眠相关的数据,可能与LC评估有关.
- 现有的研究缺乏对LC群体的可穿戴设备衍生睡眠指标 (WDSM) 的全面分析.
研究的目的:
- 在RECOVER成年人群中调查WDSM和长期COVID状态之间的关联.
- 为了识别特定的睡眠模式,表明LC.
- 探索WDSM作为LC检测和治疗监测生物标志物的潜力.
主要方法:
- 利用了来自RECOVER成年人群的数据.
- 分析了可穿戴设备衍生睡眠指标 (WDSM),将LC患者与没有LC患者进行比较.
- 采用统计分析,包括混调整和集群分析.
主要成果:
- 长期COVID与睡眠心率变化减少和睡眠持续时间变化增加有关.
- LC独立地与睡眠效率降低,睡眠时间变化,更高的休息心率和改变的REM睡眠参数有关.
- 确定了明显的WDSM集群,与LC地位和生活质量相关.
结论:
- 妇女和男人们显示与长期COVID有很强的关联.
- WDSM模式可以作为LC检测的潜在生物标志物.
- 可穿戴睡眠数据为监测LC治疗疗效提供了一个有希望的途径.
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