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Updated: Jun 14, 2025

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Multi-Modal Home Sleep Monitoring in Older Adults
Published on: January 26, 2019
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通过机器学习的多维睡眠概况和痴呆和心血管疾病的风险
Clémence Cavaillès1, Meredith Wallace2, Yue Leng1
1Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California, USA.
medRxiv : the preprint server for health sciences
|September 4, 2024
概括
老年男性的睡眠状况不佳与痴呆和心血管疾病 (CVD) 风险增加有关. 识别这些睡眠模式可以指导干预措施并改善健康结果.
科学领域:
- 老年学是指老年学的学科.
- 睡眠医学 睡眠医学
- 流行病学 流行病学
背景情况:
- 睡眠健康是多维的,包括持续时间,碎片化和昼夜活动.
- 大多数研究都集中在个体睡眠方面,忽视了全面的睡眠概况.
- 了解多维睡眠概况对于识别健康风险至关重要.
研究的目的:
- 为了识别24小时睡眠/循环节形状,使用老年男性的动图.
- 在12年内调查这些睡眠状况与痴呆和心血管疾病 (CVD) 发病率之间的联系.
主要方法:
- 一项前性,多中心,基于人口的队列研究跟踪了2667名老年男性12年.
- 动图学数据被用来推导出20个睡眠和昼夜活动节律变量.
- 无监督机器学习 (通用过度混合模型) 识别了不同的睡眠概况.
主要成果:
- 结果发现了三种情况:活跃的健康睡眠者 (AHS),碎片化的睡眠者 (FPS) 和长时间和频繁的午睡者 (LFN).
- 与AHS相比,FPS显示痴呆症 (HR=1.35) 和心血管疾病事件 (HR=1.32) 的风险明显更高.
- LFN与心血管疾病风险增加 (HR=1.16) 有边际关联,但不是痴呆症.
结论:
- 在老年男性中存在不同的多维睡眠健康概况.
- 睡眠不足和昼夜节律与认知和心血管疾病的风险增加有关.
- 这些发现强调需要全面的睡眠评估和有针对性的干预措施.
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