Actigraphy Estimated Night Sleep Duration in Preschool Children: Comparison of an Automated Algorithm and Sleep Diary Against the Sadeh Algorithm.

IF 2.2 3区医学 Q3 CLINICAL NEUROLOGY

Behavioral Sleep Medicine Pub Date : 2025-03-24 DOI:10.1080/15402002.2025.2481439

Elaine Kh Tham, Bernard Tang, Natarajan Padmapriya, Anu Ss Rema, Jonathan Y Bernard, Peter D Gluckman, Yap-Seng Chong, Fabian Yap, Johan G Eriksson, Falk Müller-Riemenschneider, Shirong Cai

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引用次数: 0

Abstract

Objectives: This study aims to compare amongst preschoolers, night sleep duration derived using the automated van Hees algorithm in GGIR (GGIR_VH) against the reference Sadeh algorithm (Actilife_SD), and subjective caregiver-reported sleep diaries against Actilife_SD.

Methods: Participants were 142 preschoolers (52.1% males), age 5.5 years, from the Growing Up in Singapore Toward healthy Outcomes (GUSTO) birth cohort study. Weeklong actigraphy data was collected via the wGT3X-BT accelerometer (worn on the non-dominant wrist) with concurrent caregiver-reported sleep diaries. Analyses were conducted to compare the automated GGIR_VH and sleep diaries against the reference Actilife_SD. Intraclass correlations were calculated to compare the agreement levels. Bland-Altman plots were used to investigate the bias in the mean differences and limits of agreement (LoA). Repeated measures of ANOVAs were used to compare mean differences.

Results: For the intraclass correlation between automated GGIR_VH and reference Actilife_SD, there was moderate agreement for the nighttime total sleep duration (r = 0.66) and poor agreement between diary and Actilife_SD (r = 0.04). Bland-Altman plots revealed a positive bias when comparing diaries against Actilife_SD, where diaries reported longer sleep duration. In contrast, there was almost no bias and smaller LoAs for the comparison between GGIR_VH and Actilife_SD. ANOVAs showed that comparisons between diary (M = 9.36, SD = 1.16) and Actilife_SD (M = 6.93, SD = 1.12); and GGIR_VH (M = 6.76, SD = 1.30) and Actilife_SD both yielded significant differences.

Conclusions: Overall, the automated GGIR_VH algorithm showed moderate agreement compared to the reference Actilife_SD. In contrast, sleep diaries overestimated sleep duration when compared to Actilife_SD.

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活动记录仪估计学龄前儿童夜间睡眠时间：自动算法和睡眠日记与Sadeh算法的比较。

目的：本研究旨在比较使用GGIR中的自动van Hees算法得出的学龄前儿童夜间睡眠时间（GGIR_VH）与参考Sadeh算法（Actilife_SD），以及主观护理者报告的睡眠日记与Actilife_SD。方法：参与者为142名学龄前儿童（52.1%为男性），年龄5.5岁，来自新加坡成长迈向健康结局（GUSTO）出生队列研究。通过wGT3X-BT加速计（佩戴在非惯用手腕上）收集为期一周的活动记录仪数据，同时由护理人员报告睡眠日记。将自动化的GGIR_VH和睡眠日记与参考的Actilife_SD进行比较分析。计算类内相关性以比较一致性水平。Bland-Altman图用于调查平均差异和一致限（LoA）的偏倚。采用重复方差分析比较平均差异。结果：对于自动GGIR_VH和参考Actilife_SD之间的类内相关性，夜间总睡眠时间有中等一致性（r = 0.66），日记和Actilife_SD之间的一致性较差（r = 0.04）。Bland-Altman图在比较日记和Actilife_SD时显示出积极的偏差，后者日记报告的睡眠时间更长。相比之下，GGIR_VH和Actilife_SD的比较几乎没有偏倚，LoAs较小。方差分析显示日记（M = 9.36, SD = 1.16）与Actilife_SD （M = 6.93, SD = 1.12）之间的比较；GGIR_VH （M = 6.76, SD = 1.30）和Actilife_SD差异均有统计学意义。结论：总体而言，与参考的Actilife_SD相比，自动化GGIR_VH算法显示出适度的一致性。相比之下，与Actilife_SD相比，睡眠日记高估了睡眠时间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Behavioral Sleep Medicine CLINICAL NEUROLOGY-PSYCHIATRY

CiteScore

7.20

自引率

3.20%

发文量

审稿时长

>12 weeks

期刊介绍： Behavioral Sleep Medicine addresses behavioral dimensions of normal and abnormal sleep mechanisms and the prevention, assessment, and treatment of sleep disorders and associated behavioral and emotional problems. Standards for interventions acceptable to this journal are guided by established principles of behavior change. Intending to serve as the intellectual home for the application of behavioral/cognitive science to the study of normal and disordered sleep, the journal paints a broad stroke across the behavioral sleep medicine landscape. Its content includes scholarly investigation of such areas as normal sleep experience, insomnia, the relation of daytime functioning to sleep, parasomnias, circadian rhythm disorders, treatment adherence, pediatrics, and geriatrics. Multidisciplinary approaches are particularly welcome. The journal’ domain encompasses human basic, applied, and clinical outcome research. Behavioral Sleep Medicine also embraces methodological diversity, spanning innovative case studies, quasi-experimentation, randomized trials, epidemiology, and critical reviews.