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Multi-Modal Home Sleep Monitoring in Older Adults
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通过机器学习和痴呆和心血管疾病风险的多维睡眠概况
Clémence Cavaillès1, Meredith Wallace2, Yue Leng3
1Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA. clemence.cavailles@inserm.fr.
Communications medicine
|July 22, 2025
概括
老年男性的睡眠模式不佳与痴呆和心血管疾病 (CVD) 的更高风险有关. 识别睡眠概况可以指导干预措施,以获得更好的健康结果.
科学领域:
- 老年学是一门学科.
- 睡眠科学 睡眠科学
- 心血管研究研究心血管研究
背景情况:
- 睡眠健康是多维的,包括持续时间,碎片化,昼夜节律和白天行为.
- 目前的研究往往侧重于孤立的睡眠特征,因此需要研究综合睡眠/心脏节律概况.
- 了解这些概况对于评估老龄化人口与不良健康结果的关联至关重要.
研究的目的:
- 通过机器学习方法,在老年男性中识别出不同的睡眠/心脏节律概况.
- 调查已识别的睡眠状况与痴呆和心血管疾病 (CVD) 发病率之间的纵向关联.
主要方法:
- 一项多中心,基于人口的队列研究,涉及2667名65岁及以上的男性.
- 通过无监督机器学习,利用24小时的动图来定义睡眠/昼夜的概况.
- 随访参与者12年来跟踪痴呆症和心血管疾病发病率.
主要成果:
- 确定了三种不同的睡眠状况:活跃的健康睡眠者 (AHS; 64.0%),碎片化的睡眠者 (FPS; 14.1%),以及长时间和频繁的午睡者 (LFN; 21.9%).
- 与AHS相比,FPS显著增加了痴呆症 (HR=1.35) 和心血管疾病事件 (HR=1.32) 的风险.
- LFN显示与心血管疾病风险增加 (HR=1.16) 的边际关联,但不是痴呆症.
结论:
- 确定的睡眠状况,特别是FPS,与老年男性痴呆和心血管疾病风险增加有关.
- 这些发现强调了全面睡眠评估的重要性,并建议睡眠干预的潜在目标.
- 强调需要加强对睡眠状况不佳的个人的查,以查看不良健康结果.
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