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ActiGraph 低频扩展滤波器对儿童身体活动测量的影响。

The impact of ActiGraph's low-frequency extension filter on measurement of children's physical activity.

机构信息

Department Sport Science & Management, Xavier University, Cincinnati, Ohio, United States.

Department of Biostatistics, University of Kentucky, Lexington, Kentucky, United States.

出版信息

J Sports Sci. 2022 Jun;40(12):1406-1411. doi: 10.1080/02640414.2022.2081404. Epub 2022 Jun 2.

Abstract

This study examines differences in accelerometer-based measurements of children's movement with and without applying ActiGraph's low-frequency extension (LFE) filter. Thirty children wore ActiGraph GT9X devices during structured physical activity (PA) periods. Raw accelerometry data for each activity period were processed with and without the LFE filter applied. For each activity period, paired t-tests were used to compare vector magnitude counts and minutes spent in moderate-to-vigorous physical activity (MVPA) with and without the LFE filter applied. Repeated measures MANOVA models were used for compositional data analysis of the percentage of time spent in sedentary behaviour and light, moderate, and vigorous PA with and without the LFE filter applied. Applying the LFE filter significantly increased vector magnitude counts and estimated minutes spent in MVPA for all activity periods when compared to the normal filter. For brisk walking, the LFE filter had a significant impact on the composition of time spent in sedentary behaviour and PA intensities. Children's activity data processed with the LFE filter may not be compatible with cut-points for activity levels developed with the normal filter, and caution should be taken when comparing children's activity levels or movement data between studies that do and do not use the LFE filter.

摘要

本研究考察了在应用 ActiGraph 的低频扩展 (LFE) 滤波器和不应用该滤波器的情况下,基于加速度计的儿童运动测量值的差异。30 名儿童在结构化体力活动 (PA) 期间佩戴 ActiGraph GT9X 设备。对每个活动期的原始加速度计数据进行了应用和不应用 LFE 滤波器的处理。对于每个活动期,使用配对 t 检验比较了应用和不应用 LFE 滤波器时向量幅度计数和中等到剧烈体力活动 (MVPA) 分钟数。对于应用和不应用 LFE 滤波器时的久坐行为和轻、中、高强度 PA 的时间百分比,使用重复测量 MANOVA 模型进行了组合数据分析。与正常滤波器相比,应用 LFE 滤波器可显著增加所有活动期的向量幅度计数和估计的 MVPA 分钟数。对于快步走,LFE 滤波器对久坐行为和 PA 强度的时间组成有显著影响。用 LFE 滤波器处理的儿童活动数据可能与用正常滤波器开发的活动水平的切点不兼容,因此在比较使用和不使用 LFE 滤波器的研究之间的儿童活动水平或运动数据时应谨慎。

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