500万个夜晚:人类睡眠表型中的时间动态
Varun K Viswanath1, Wendy Hartogenesis2, Stephan Dilchert3
1Department of Electrical and Computer Engineering, Jacobs School of Engineering, University of California, San Diego, CA, USA. vkviswan@ucsd.edu.
NPJ digital medicine
|June 20, 2024
概括
个人在13种睡眠表型之间转换,为健康提供了新的见解. 追踪这些睡眠模式的变化揭示了更多关于慢性和急性疾病的信息,而不仅仅是静态睡眠类型.
科学领域:
- 可穿戴技术和睡眠科学.
- 纵向健康数据分析.
- 个性化的睡眠药物.
背景情况:
- 价格实惠的可穿戴设备使得广泛的睡眠监测成为可能.
- 将睡眠数据转换为可操作的健康见解是具有挑战性的,因为个体的变化.
- 现有的定量睡眠表型模型通常依赖横截面数据,限制纵向分析.
研究的目的:
- 为了确定个人睡眠表型是否随着时间的推移而变化.
- 调查睡眠表型中的这些时间变化是否能为诸如流感或COVID-19之类的急性疾病提供见解.
- 为了比较从纵向睡眠动态与静态表型成员身份中获得的信息,以阐明健康状况.
主要方法:
- 分析了五百万个夜晚的可穿戴睡眠数据.
- 基于参数组合的睡眠表型的识别和分类.
- 在不同健康群体之间和随着时间的推移,睡眠表型过渡模式的统计比较.
主要成果:
- 确定与睡眠质量相关的13种不同的睡眠表型.
- 有证据表明,随着时间的推移,睡眠表型之间发生了显著的转变,无论是在个人之间还是在急性疾病期间.
- 纵向过渡模式提供了2-10倍更多的信息,慢性和急性健康状况相比,横截面的表型成员.
结论:
- 睡眠表型是动态的,随着时间的推移在个体内发生变化.
- 分析睡眠表型转变的时间动态为了解和监测慢性和急性健康状况提供了重大潜力.
- 纵向睡眠分析的未来发展应该利用这些时间动态来改善健康洞察力.
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