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在学龄前儿童中,Actigraphy估计了夜间睡眠时间:比较自动算法和睡眠日记与Sadeh算法
Elaine Kh Tham1, Bernard Tang1, Natarajan Padmapriya2,3
1Institute for Human Development and Potential, Agency for Science, Technology and Research (A*STAR), Singapore.
Behavioral sleep medicine
|March 24, 2025
概括
自动化van Hees算法 (GGIR_VH) 与参考Actilife_SD.相比,在学龄前儿童的睡眠时间方面显示出中等一致性. 然而,护理人员的睡眠日记显著高估了学龄前儿童的睡眠时间.
科学领域:
- 儿科睡眠研究儿童睡眠研究
- 在Actigraphy的验证中使用Actigraphy.
- 生物医学数据分析
背景情况:
- 准确测量学龄前儿童的睡眠时间对于了解儿童发育和健康至关重要.
- 动图是睡眠评估的常见客观方法,但算法性能各不相同.
- 护理人员报告的睡眠日记被广泛使用,但可能容易出现不准确.
研究的目的:
- 为了比较自动睡眠算法 (GGIR_VH) 与用于测量学龄前儿童夜间睡眠时间的参考动态图法 (Actilife_SD) 的准确性.
- 评估护理人员报告的睡眠日记与参考动力图法 (Actilife_SD) 之间的一致性.
主要方法:
- 来自GUSTO队列研究的142名学龄前儿童参加了这项研究,他们戴着加速度计 (wGT3X-BT) 一周.
- 同时的护理人员报告的睡眠日记与动图数据一起收集.
- 统计分析包括类内相关性,布兰德-阿尔特曼图谱和重复测量ANOVA来比较GGIR_VH和日记与Actilife_SD.
主要成果:
- 在总夜间睡眠时间方面,GGIR_VH算法与Actilife_SD表现出中度一致 (r=0.66).
- 与Actilife_SD相比,护理人员的睡眠日记显示出不良一致性 (r=0.04) 和积极偏差,高估了睡眠时间.
- 虽然GGIR_VH和日记与Actilife_SD的比较都显示出显著的平均差异,但GGIR_VH的偏差较小,协议的边界较小.
结论:
- 与参考方法相比,自动化的GGIR_VH算法提供了相当准确且不太偏的预学年儿童睡眠时间测量方法.
- 护理人员的睡眠日记往往会高估这个年龄组的睡眠时间,突出了研究和临床使用的潜在局限性.
- 像GGIR_VH这样的actigraphy算法为评估学龄前儿童的睡眠模式提供了更可靠的客观测量方法.
相关概念视频
01:24Sleep-Wake Cycles
Sleep is an essential physiological process vital to maintaining overall well-being. The reticular activating system (RAS), a network of neurons in the brainstem, regulates wakefulness and sleep. While it may seem passive, sleep consists of distinct cycles, each with its unique characteristics and functions. Two key sleep phases are non-rapid eye movement (NREM) and rapid eye movement (REM).
NREM Sleep
NREM sleep comprises four progressive stages that seamlessly merge:
NREM Sleep
NREM sleep comprises four progressive stages that seamlessly merge:
01:22Stages of Sleep
Sleep progresses through distinct stages, each characterized by specific brain wave patterns and physiological responses ranging from wakefulness to stages of non-rapid eye movement, known as non-REM, to rapid eye movement, referred to as REM. Understanding these stages helps in recognizing how sleep supports various bodily and cognitive functions.
Before sleep begins, in wakefulness, the brain exhibits primarily beta waves, which are high in frequency and low in amplitude, indicating alertness...
Before sleep begins, in wakefulness, the brain exhibits primarily beta waves, which are high in frequency and low in amplitude, indicating alertness...