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健康和焦虑的数字生物标志物之间的关联:系统审查和元分析
Yolanda Lau1, Natalia Chemas2, Heema Ajeet Gokani1
1Division of Psychiatry, University College London, London, United Kingdom.
Journal of medical Internet research
|March 9, 2026
概括
来自可穿戴设备的数字生物标志物通过睡眠指标显示,与焦虑无关. 然而,较低的体力活动和更高的心率与成人焦虑症状的增加有关.
科学领域:
- 心理健康研究 心理健康研究
- 数字卫生技术数字卫生技术
- 生物标志物发现发现
背景情况:
- 数字生物标志物提供了被动的,持续的心理健康监测.
- 可穿戴设备衍生的数字生物标志物与焦虑之间的联系仍然未得到充分探索.
研究的目的:
- 系统地审查和元分析来自手腕可穿戴设备的数字生物标志物与成年人焦虑之间的关联.
主要方法:
- 搜索了6个数据库和灰色文献,截至2025年9月21日.
- 包括使用推断统计或机器学习的横截面/纵向研究.
- 排除了关于神经退行性或身体健康状况的研究.
- 使用既有工具评估偏差风险.
- 进行了随机效应的元分析,以结合效应大小和叙事合成.
主要成果:
- 44项研究 (42篇文章) 是符合条件的,使用推断统计 (36) 或机器学习 (8).
- 分析显示,睡眠指标 (效率,入睡后醒来,总睡眠时间,入睡延迟) 和焦虑之间没有显著的关联.
- 定性综合表明,较低的体力活动和较高的心率与增加的焦虑症状有关.
- 机器学习模型在将可穿戴数据与其他来源相结合时显示出更好的预测.
结论:
- 这是第一个综合了可穿戴数字生物标志物和焦虑的推断统计和机器学习研究的综述.
- 睡眠指标和焦虑之间没有发现任何关联.
- 较低的体力活动和心率升高显示出与焦虑症状的潜在关联.
- 将数字生物标志物与其他数据源集成,可以提高它们的实用性,而不仅仅是独立选.
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