多模式睡眠测量和对准分析在门诊患者与重大抑郁发作:观察性研究研究
Afrooz Mahir1, Nguyen Luong1, Ilya Baryshnikov2,3
1Department of Computer Science, Aalto University, Espoo, Finland.
JMIR mHealth and uHealth
|December 11, 2025
概括
可穿戴睡眠追踪器显示测量偏差,特别是在情绪障碍患者中,影响睡眠偏移和总睡眠时间 (TST) 的准确性. 人口和季节因素也会影响睡眠跟踪的可靠性.
科学领域:
- 睡眠科学和数字健康
- 使用可穿戴技术的精神病学研究.
背景情况:
- 睡眠对于健康和精神疾病诊断至关重要.
- 基于实验室的多睡眠学仅限于长期的自然监测.
研究的目的:
- 使用可穿戴设备,可靠设备和生态瞬间评估来评估睡眠跟踪的可靠性.
- 检查健康个体和情绪障碍患者的测量偏差和影响方法差异的因素.
主要方法:
- 在芬兰进行了为期14天的研究,共有169名参与者 (主要抑郁症患者和对照组).
- 睡眠模式 (开始,偏移,总睡眠时间 (TST)) 通过动图,床上传感器和智能手机数据收集.
- 使用布兰德-阿尔特曼图,皮尔森相关性和线性混合模型评估对齐.
主要成果:
- 患者表现出比对照组更大的睡眠测量变化.
- 在不同设备的患者中观察到睡眠偏移的显著偏差;智能手机低估了TST.
- 年龄较大,日光较长和特定的人口统计因素影响了对齐;双相/边界性人格障碍患者的TST对齐较低.
结论:
- 动图,智能手机数据和床上传感器是可行的自然主义的睡眠跟踪患者.
- 测量偏差,季节性变化和人口因素显著影响睡眠跟踪差异.
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