Center for Health and Performance, Department of Food and Nutrition, and Sport Science, University of Gothenburg, SE-405 30 Gothenburg, Sweden.
Institute of Neuroscience and Psychology, University of Gothenburg, SE-405 30 Gothenburg, Sweden.
Sensors (Basel). 2020 Feb 18;20(4):1118. doi: 10.3390/s20041118.
An improved method of physical activity accelerometer data processing, involving a wider frequency filter than the most commonly used ActiGraph filter, has been shown to better capture variations in physical activity intensity in a lab setting. The aim of the study was to investigate how this improved measure of physical activity affected the relationship with markers of cardiometabolic health. Accelerometer data and markers of cardiometabolic health from 725 adults from two samples, LIV 2013 and SCAPIS pilot, were analyzed. The accelerometer data was processed using both the original ActiGraph method with a low-pass cut-off at 1.6 Hz and the improved method with a low-pass cut-off at 10 Hz. The relationship between the physical activity intensity spectrum and a cardiometabolic health composite score was investigated using partial least squares regression. The strongest association between physical activity and cardiometabolic health was shifted towards higher intensities with the 10 Hz output compared to the ActiGraph method. In addition, the total explained variance was higher with the improved method. The 10 Hz output enables correctly measuring and interpreting high intensity physical activity and shows that physical activity at this intensity is stronger related to cardiometabolic health compared to the most commonly used ActiGraph method.
一种改进的体力活动加速度计数据处理方法，涉及比最常用的 ActiGraph 滤波器更宽的频率滤波器，已被证明在实验室环境中能更好地捕捉体力活动强度的变化。本研究旨在探讨这种改进的体力活动测量方法如何影响与心脏代谢健康标志物的关系。对来自两个样本（LIV 2013 和 SCAPIS 试点）的 725 名成年人的加速度计数据和心脏代谢健康标志物进行了分析。使用原始的 ActiGraph 方法（低通截止频率为 1.6 Hz）和改进的方法（低通截止频率为 10 Hz）处理加速度计数据。使用偏最小二乘回归研究体力活动强度谱与心脏代谢健康综合评分之间的关系。与 ActiGraph 方法相比，10 Hz 输出将体力活动与心脏代谢健康之间的最强关联转移到更高的强度。此外，改进的方法具有更高的总解释方差。10 Hz 输出可以正确测量和解释高强度体力活动，并表明与最常用的 ActiGraph 方法相比，这种强度的体力活动与心脏代谢健康的关系更强。
