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Comparing the activPAL Software’s Primary Time in Bed Algorithm against Self-Report and van Der Berg’s Algorithm
Measurement in Physical Education and Exercise Science ( IF 2.1 ) Pub Date : 2020-12-28 , DOI: 10.1080/1091367x.2020.1867146
J B Courtney 1 , K Nuss 1 , K Lyden 2 , K K Harrall 3 , D H Glueck 3 , A Villalobos 4 , R F Hamman 4 , J R Hebert 5 , T G Hurley 5 , J Leiferman 4 , K Li 1 , K Alaimo 6 , J S Litt 7
Affiliation  

ABSTRACT

The purpose of this study was to compare activPAL algorithm-estimated values for time in bed (TIB), wake time (WT) and bedtime (BT) against self-report and an algorithm developed by van der Berg and colleagues. Secondary analyses of baseline data from the Community Activity for Prevention Study (CAPs) were used in which adults ≥ 18 years wore the activPAL for seven days. Mixed-effects models compared differences between TIB, WT, and BT for all three methods. Bland-Altman plots examined agreement and the two-one-sided test examined equivalence. activPAL was not equivalent to self-report or van der Berg in estimating TIB, but was equivalent to self-report for estimating BT, and was equivalent to van der Berg for estimating WT. The activPAL algorithm requires adjustments before researchers can use it to estimate TIB. However, researchers can use activPAL’s option to manually enter self-reported BT and WT to estimate TIB and better understand 24-hour movement patterns.



中文翻译:

比较 activPAL 软件的主要睡眠时间算法与 Self-Report 和 van Der Berg 算法

摘要

本研究的目的是将 activPAL 算法估计的卧床时间 (TIB)、醒来时间 (WT) 和就寝时间 (BT) 与自我报告和 van der Berg 及其同事开发的算法进行比较。对来自社区预防活动研究 (CAP) 的基线数据进行二次分析,其中 18 岁以上的成年人佩戴 activPAL 7 天。混合效应模型比较了所有三种方法的 TIB、WT 和 BT 之间的差异。Bland-Altman 图检验了一致性,双边检验检验了等价性。activPAL在估计TIB时不等价于self-report或van der Berg,但在估计BT时等价于self-report,在估计WT时等价于van der Berg。activPAL 算法需要进行调整,研究人员才能使用它来估计 TIB。然而,

更新日期:2020-12-28
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