Department of Kinesiology, Michigan State University , East Lansing, MI, USA.
Integrative Physiology and Health Science Department, Alma College , Alma, MI, USA.
J Sports Sci. 2020 Dec;38(24):2794-2802. doi: 10.1080/02640414.2020.1801320. Epub 2020 Aug 5.
ActiGraph accelerometers are frequently used to characterize physical activity, but free-living cross-generational comparability of newer models has not been verified. Participants (N = 70) wore GT9X and wGT3X-BT accelerometers at the hip and a sub-sample (n = 54) wore GT9X and either wGT3X-BT or GT3X+ monitors at each wrist for 4 days. Vector magnitude (VM) counts, VM acceleration, Mean Amplitude Deviation (MAD), and Euclidean Norm Minus One (ENMO) were calculated (60-s epoch), and cut-points were used to determine percent of time spent in each intensity (sedentary/light, moderate, vigorous). Epoch-level correlation coefficients () were ≥0.73, and weighted kappa for intensity classifications ranged from 0.71 (ENMO, hip) to 0.98 (VM counts, non-dominant wrist). Monitors were equivalent for all outcomes, except ENMO (all locations/monitors), percent of time spent in sedentary/light (hip) and moderate (hip and non-dominant wrist) activity as classified by ENMO-based cut-points, and vigorous activity as classified by VM count cut-points (non-dominant wrist; > 0.05). While epoch-level data were not identical, most outcomes were strongly related between models (e.g., MAD, VM) and equivalent once reduced to percent of time spent in each intensity. However, monitor output was not equivalent for the acceleration-based metric ENMO, suggesting that caution should be exercised when comparing this outcome among ActiGraph models.
ActiGraph 加速度计常用于描述身体活动,但尚未验证新模型在自由生活中的跨世代可比性。参与者(N=70)佩戴 GT9X 和 wGT3X-BT 加速度计在臀部,一个亚样本(n=54)在每个手腕上佩戴 GT9X 和 wGT3X-BT 或 GT3X+监测器,持续 4 天。计算了向量幅度(VM)计数、VM 加速度、平均幅度偏差(MAD)和欧几里得范数减一(ENMO)(60 秒时程),并使用切点来确定每个强度(久坐/低强度、中强度、高强度)的时间百分比。时程水平相关系数()≥0.73,强度分类的加权 Kappa 值范围为 0.71(ENMO,臀部)至 0.98(VM 计数,非优势手腕)。除了 ENMO(所有位置/监测器)、基于 ENMO 切点分类的久坐/低强度(臀部)和中强度(臀部和非优势手腕)活动的时间百分比以及基于 VM 计数切点分类的高强度活动的时间百分比(非优势手腕)外,所有结果监测器都等效(所有位置/监测器)、基于 ENMO 切点分类的久坐/低强度(臀部)和中强度(臀部和非优势手腕)活动的时间百分比以及基于 VM 计数切点分类的高强度活动的时间百分比(非优势手腕);(>0.05)。虽然时程数据不完全相同,但大多数结果在模型之间具有很强的相关性(例如,MAD、VM),并且一旦转换为每个强度的时间百分比,结果等效。然而,基于加速度的 ENMO 指标的监测器输出并不等效,这表明在比较 ActiGraph 模型之间的这个结果时应谨慎。