测量身体活动、久坐行为或睡眠的加速度计响应变化的系统综述

Kimberly A. Clevenger, Alexander H.K. Montoye
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引用次数: 0

摘要

测量24小时运动行为对于评估指南的遵守情况、随时间推移的参与趋势、群体差异以及促进健康的干预措施是否成功非常重要。对于有用的测量工具,它必须是有效的、可靠的,并且能够检测到变化,后者是一种称为响应性、对变化的敏感性或纵向有效性的测量属性。我们系统地回顾了有关加速计响应性的文献,以检测24小时运动行为的变化。检索了1998年至2023年间发表的英文同行评议论文(PubMed、Scopus和EBSCOHost)。使用定制工具评估偏倚的质量/风险。本研究注册网址为https://osf.io/qrn8a。26篇论文符合纳入/排除标准,总共有1939名参与者。采用了叙事综合。大多数研究集中在成年人身上(n = 21),几乎一半(n = 12)包括有特殊医疗条件的个体。研究主要在自由生活环境中进行(n = 21),并使用了佩戴在臀部(n = 18)、大腿(n = 7)或手腕(n = 9)的研究级加速度计(n = 24)。结果包括体力活动(n = 19)、久坐时间/行为(n = 12)或睡眠(n = 2),并使用专有公式(例如Fitbit算法)、切割点和/或基于计数的方法进行计算。大多数研究通过比较干预前后的反应性来计算反应性(n = 16)。六项研究包括一个标准测量,以确认发生的变化。对于加速计用于检测24小时运动行为变化的响应性,特别是在年轻人群体中,对于睡眠结果,以及商用和大腿或手腕上佩戴的设备,研究有限。缺乏标准测量,即使在更频繁研究的结果/人群中,也无法得出反应性的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic Review of Accelerometer Responsiveness to Change for Measuring Physical Activity, Sedentary Behavior, or Sleep
Measurement of 24-hr movement behaviors is important for assessing adherence to guidelines, participation trends over time, group differences, and whether health-promoting interventions are successful. For a measurement tool to be useful, it must be valid, reliable, and able to detect change, the latter being a measurement property called responsiveness, sensitivity to change, or longitudinal validity. We systematically reviewed literature on the responsiveness of accelerometers to detect change in 24-hr movement behaviors. Databases (PubMed, Scopus, and EBSCOHost) were searched for peer-reviewed papers published in English between 1998 and 2023. Quality/risk of bias was assessed using a customized tool. This study is registered at https://osf.io/qrn8a . Twenty-six papers met the inclusion/exclusion criteria with an overall sample of 1,939 participants. Narrative synthesis was used. Most studies focused on adults ( n = 21), and almost half ( n = 12) included individuals with specific medical conditions. Studies primarily took place in free-living settings ( n = 21) and used research-grade accelerometers ( n = 24) worn on the hip ( n = 18), thigh ( n = 7), or wrist ( n = 9). Outcomes included physical activity ( n = 19), sedentary time/behavior ( n = 12), or sleep ( n = 2) and were calculated using proprietary formulas (e.g., Fitbit algorithm), cut points, and/or count-based methods. Most studies calculated responsiveness by comparing before versus after an intervention ( n = 16). Six studies included a criterion measure to confirm that changes occurred. Limited research is available on the responsiveness of accelerometers for detecting change in 24-hr movement behaviors, particularly in youth populations, for sleep outcomes, and for commercial and thigh- or wrist-worn devices. Lack of a criterion measure precludes conclusions about the responsiveness even in more frequently studied outcomes/populations.
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