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首页> 外文期刊>Journal of physical activity & health >Capturing the pattern of physical activity and sedentary behavior: Exposure variation analysis of accelerometer data
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Capturing the pattern of physical activity and sedentary behavior: Exposure variation analysis of accelerometer data

机译：捕捉身体活动和久坐行为的模式：加速度计数据的暴露变化分析

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Background: Capturing the complex time pattern of physical activity (PA) and sedentary behavior (SB) using accelerometry remains a challenge. Research from occupational health suggests exposure variation analysis (EVA) could provide a meaningful tool. This paper (1) explains the application of EVA to accelerometer data, (2) demonstrates how EVA thresholds and derivatives could be chosen and used to examine adherence to PA and SB guidelines, and (3) explores the validity of EVA outputs. Methods: EVA outputs are compared with accelerometer data from 4 individuals (Study 1a and1b) and 3 occupational groups (Study 2): seated workstation office workers (n = 8), standing workstation office workers (n = 8), and teachers (n = 8). Results: Line graphs and related EVA graphs highlight the use of EVA derivatives for examining compliance with guidelines. EVA derivatives of occupational groups confirm no difference in bouts of activity but clear differences as expected in extended bouts of SB and brief bursts of activity, thus providing evidence of construct validity. Conclusions: EVA offers a unique and comprehensive generic method that is able, for the first time, to capture the time pattern (both frequency and intensity) of PA and SB, which can be tailored for both occupational and public health research.
机译：背景：使用加速度计来捕捉身体活动（PA）和久坐行为（SB）的复杂时间模式仍然是一个挑战。职业健康方面的研究表明，暴露量变化分析（EVA）可提供有意义的工具。本文（1）解释了EVA在加速度计数据中的应用;（2）演示了如何选择EVA阈值和导数，并用来检查对PA和SB准则的遵守情况;以及（3）探索EVA输出的有效性。方法：将EVA输出与来自4个人（研究1a和1b）和3个职业组（研究2）的加速度计数据进行比较：坐着的上班族（n = 8），站立的上班族（n = 8）和老师（n = 8）。结果：折线图和相关的EVA图突出显示了使用EVA衍生物检查指南的遵守情况。职业组的EVA派生确认活动性没有差异，但确认了SB延长性活动和短暂性活动爆发中预期的明显差异，从而提供了结构有效性的证据。结论：EVA提供了一种独特而全面的通用方法，该方法首次能够捕获PA和SB的时间模式（频率和强度），可以针对职业和公共卫生研究进行量身定制。

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