Accelerometry for sleep assessment in children: Criterium validity of different algorithms in wrist- and ankle-worn devices.

IF 3.4 3区 医学 Q2 CLINICAL NEUROLOGY Journal of Sleep Research Pub Date : 2024-11-29 DOI:10.1111/jsr.14426
Pia Burger, Frea H Kruisinga, Anneline Lettink, Mai J M Chinapaw, Reinoud J B J Gemke
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Abstract

Polysomnography, the gold-standard for measuring sleep, is costly, intrusive and usually limited to 1 night. Actigraphy offers a more affordable, less intrusive method over multiple nights. However, little research validates ActiGraph accelerometers against polysomnography, especially in children. This study evaluated the validity of different algorithms and compared wrist versus ankle accelerometer placements for estimating sleep in children aged 1-12 years. Twenty-nine children undergoing overnight type 1 polysomnography wore ActiGraph accelerometers. Six algorithms were evaluated against polysomnography using Pearson correlations, intraclass correlation, paired t-tests and Bland-Altman plots. Agreement was classified as poor (intraclass correlation coefficient < 0.4), fair (0.4 < intraclass correlation coefficient < 0.6), good (0.6 < intraclass correlation coefficient < 0.75) or excellent (intraclass correlation coefficient > 0.75). Total sleep time was the primary outcome. For wrist-worn devices, the Sadeh (Actilife) and Cole-Kripke (Actilife and GGIR) algorithms showed excellent agreement with polysomnography (intraclass correlation coefficient = 0.80-0.85), while vanHees showed good agreement (intraclass correlation coefficient = 0.67) and Galland showed fair agreement (intraclass correlation coefficient = 0.46). The Cole-Kripke algorithm did not significantly differ from polysomnography total sleep time, whereas others underestimated total sleep time. For ankle-worn devices, Sadeh (Actilife), Cole-Kripke (Actilife) and vanHees algorithms demonstrated excellent agreement (intraclass correlation coefficient = 0.75-0.82). No significant differences were found between wrist and ankle placements for certain algorithms. The findings support accelerometry as a valid tool for sleep assessment in children, recommending that algorithm selection be tailored to specific study requirements.

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加速计用于儿童睡眠评估:不同算法在手腕部和踝关节穿戴设备的标准有效性。
作为衡量睡眠的黄金标准,多导睡眠描记仪价格昂贵,具有干扰性,而且通常仅限于一个晚上。活动记录仪提供了一种更实惠、更少干扰的方法。然而,很少有研究证实ActiGraph加速计与多导睡眠描记术的对抗,尤其是在儿童中。本研究评估了不同算法的有效性,并比较了手腕和脚踝加速度计的位置,以估计1-12岁儿童的睡眠。29名接受过夜1型多导睡眠描记术的儿童佩戴了ActiGraph加速计。采用Pearson相关性、类内相关性、配对t检验和Bland-Altman图对6种算法进行多导睡眠图评价。一致性为差(类内相关系数为0.75)。总睡眠时间是主要指标。对于腕带设备,Sadeh (Actilife)和Cole-Kripke (Actilife和GGIR)算法与多道睡眠图的一致性非常好(类内相关系数= 0.80-0.85),而vanHees算法的一致性很好(类内相关系数= 0.67),Galland算法的一致性比较好(类内相关系数= 0.46)。Cole-Kripke算法与多导睡眠图的总睡眠时间没有显著差异,而其他算法则低估了总睡眠时间。对于踝关节穿戴设备,Sadeh (Actilife)、Cole-Kripke (Actilife)和vanHees算法表现出极好的一致性(类内相关系数= 0.75-0.82)。对于某些算法,腕关节和踝关节的位置之间没有发现显著差异。研究结果支持加速度计作为儿童睡眠评估的有效工具,并建议根据具体研究要求定制算法选择。
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来源期刊
Journal of Sleep Research
Journal of Sleep Research 医学-临床神经学
CiteScore
9.00
自引率
6.80%
发文量
234
审稿时长
6-12 weeks
期刊介绍: The Journal of Sleep Research is dedicated to basic and clinical sleep research. The Journal publishes original research papers and invited reviews in all areas of sleep research (including biological rhythms). The Journal aims to promote the exchange of ideas between basic and clinical sleep researchers coming from a wide range of backgrounds and disciplines. The Journal will achieve this by publishing papers which use multidisciplinary and novel approaches to answer important questions about sleep, as well as its disorders and the treatment thereof.
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