PROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Ctra. Alfacar s/n, 18011, Granada, Spain.
Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.
Sci Rep. 2019 Dec 3;9(1):18235. doi: 10.1038/s41598-019-54267-y.
Large epidemiological studies that use accelerometers for physical behavior and sleep assessment differ in the location of the accelerometer attachment and the signal aggregation metric chosen. This study aimed to assess the comparability of acceleration metrics between commonly-used body-attachment locations for 24 hours, waking and sleeping hours, and to test comparability of PA cut points between dominant and non-dominant wrist. Forty-five young adults (23 women, 18-41 years) were included and GT3X + accelerometers (ActiGraph, Pensacola, FL, USA) were placed on their right hip, dominant, and non-dominant wrist for 7 days. We derived Euclidean Norm Minus One g (ENMO), Low-pass filtered ENMO (LFENMO), Mean Amplitude Deviation (MAD) and ActiGraph activity counts over 5-second epochs from the raw accelerations. Metric values were compared using a correlation analysis, and by plotting the differences by time of the day. Cut points for the dominant wrist were derived using Lin's concordance correlation coefficient optimization in a grid of possible thresholds, using the non-dominant wrist estimates as reference. They were cross-validated in a separate sample (N = 36, 10 women, 22-30 years). Shared variances between pairs of acceleration metrics varied across sites and metric pairs (range in r: 0.19-0.97, all p < 0.01), suggesting that some sites and metrics are associated, and others are not. We observed higher metric values in dominant vs. non-dominant wrist, thus, we developed cut points for dominant wrist based on ENMO to classify sedentary time (<50 mg), light PA (50-110 mg), moderate PA (110-440 mg) and vigorous PA (≥440 mg). Our findings suggest differences between dominant and non-dominant wrist, and we proposed new cut points to attenuate these differences. ENMO and LFENMO were the most similar metrics, and they showed good comparability with MAD. However, counts were not comparable with ENMO, LFENMO and MAD.
使用加速度计进行身体行为和睡眠评估的大型流行病学研究在加速度计附着位置和选择的信号聚合指标方面存在差异。本研究旨在评估在 24 小时、清醒和睡眠期间,常用身体附着位置之间的加速度计指标的可比性,并测试优势和非优势手腕之间的 PA 切点的可比性。45 名年轻成年人(23 名女性,18-41 岁)被纳入研究,在其右侧臀部、优势手腕和非优势手腕上佩戴 GT3X+加速度计(ActiGraph,彭萨科拉,佛罗里达州,美国),持续 7 天。我们从原始加速度中得出了单位归一化差一 g(ENMO)、低通滤波的 ENMO(LFENMO)、平均幅度偏差(MAD)和 ActiGraph 活动计数,使用 5 秒的时间片段。使用相关分析比较了度量值,并通过绘制一天中不同时间的差异来比较。使用 Lin 一致性相关系数优化在可能的阈值网格中为优势手腕导出切点,使用非优势手腕估计作为参考。在一个独立的样本(N=36,10 名女性,22-30 岁)中进行了交叉验证。在不同的位置和度量对之间,成对的加速度计度量的共享方差差异很大(r 值范围:0.19-0.97,所有 p<0.01),这表明有些位置和度量是相关的,而有些则不是。我们观察到优势手腕的度量值高于非优势手腕,因此,我们根据 ENMO 为优势手腕开发了切点,以分类久坐时间(<50mg)、低强度 PA(50-110mg)、中强度 PA(110-440mg)和高强度 PA(≥440mg)。我们的研究结果表明优势和非优势手腕之间存在差异,我们提出了新的切点来减轻这些差异。ENMO 和 LFENMO 是最相似的指标,它们与 MAD 具有良好的可比性。然而,计数与 ENMO、LFENMO 和 MAD 不可比。