School of Kinesiology and Health Studies, Queen's University, 28 Division St, Kingston, Ontario, Canada, K7L 3N6.
Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada.
Sleep Health. 2018 Feb;4(1):110-115. doi: 10.1016/j.sleh.2017.09.006. Epub 2017 Sep 30.
In field settings, wrist- and waist-worn accelerometers are typically used to assess sleep characteristics and movement behaviors, respectively. There has been a shift in movement behavior studies to wear accelerometers 24 h/d. Sleep characteristics could be assessed in these studies if sleep algorithms were available for waist-worn accelerometers. The objective of this study was to develop and provide validity data for an algorithm/sleep likelihood score cut-off to estimate sleep efficiency in children using the waist-worn Actical accelerometer.
Cross-sectional study.
Fifty healthy children aged 10-13 years.
Children wore an Actical on their waist and an Actiwatch 2 on their nondominant wrist for 8 nights at home in their normal sleep environment. Participants were randomized into algorithm/sleep likelihood score "development" and "test" groups (n=25 per group). Within the development group, we assessed sleep efficiency with the Actical using the same algorithm that the Actiwatch 2 uses and selected the sleep likelihood score cut-off value that was the most accurate at predicting sleep efficiency at the nightly level compared with the Actiwatch 2. We applied this algorithm and cut-off value to the test group.
Mean (SD) sleep efficiency estimates for the test group from the Actical and Actiwatch 2 were 89.0% (3.9%) and 88.7% (3.1%), respectively. Bland-Altman plots and absolute difference scores revealed considerable agreement between devices for both nightly and weekly estimates of sleep efficiency.
A waist-worn Actical accelerometer can accurately predict sleep efficiency in field settings among healthy 10- to 13-year-olds.
在现场环境中，通常分别使用腕部和腰部佩戴的加速度计来评估睡眠特征和运动行为。随着运动行为研究的转变，现在倾向于 24 小时佩戴加速度计。如果为腰部佩戴的加速度计提供睡眠算法，则可以在这些研究中评估睡眠特征。本研究的目的是开发并提供有效性数据，以制定一种算法/睡眠可能性评分的截止值，用于使用腰部佩戴的 Actical 加速度计评估儿童的睡眠效率。
横断面研究。
50 名年龄在 10-13 岁的健康儿童。
儿童在正常睡眠环境中在家佩戴腰部的 Actical 和非优势手腕上的 Actiwatch 2 共 8 晚。参与者被随机分为算法/睡眠可能性评分“开发”和“测试”组（每组 25 人）。在开发组中，我们使用 Actiwatch 2 相同的算法评估 Actical 的睡眠效率，并选择最能准确预测夜间睡眠效率的睡眠可能性评分截止值。我们将该算法和截止值应用于测试组。
测试组的 Actical 和 Actiwatch 2 的平均（标准差）睡眠效率估计值分别为 89.0%（3.9%）和 88.7%（3.1%）。Bland-Altman 图和绝对差值评分显示，两种设备对夜间和每周睡眠效率的估计均具有相当大的一致性。
腰部佩戴的 Actical 加速度计可在健康 10-13 岁儿童的现场环境中准确预测睡眠效率。
