Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium.
Research Foundation Flanders, Brussels, Belgium.
PLoS One. 2024 Sep 17;19(9):e0309931. doi: 10.1371/journal.pone.0309931. eCollection 2024.
Movement behavior features such as time use estimates, average acceleration and intensity gradient are crucial in understanding associations with cardiometabolic health. The aim of this study was to 1) compare movement behavior features processed by commonly used accelerometer metrics among adults (i.e. Euclidian Norm Minus One (ENMO), Mean Amplitude Deviation (MAD) and counts per minute (CPM)), 2) investigate the impact of accelerometer metrics on compliance with movement behavior guidelines, and 3) explore potential variations in the association between movement behavior features and cardiometabolic variables depending on the chosen metric.
This cross-sectional study collected movement behavior features (Actigraph GT3X+) and cardiometabolic variables. Accelerometer data were analyzed by four metrics, i.e. ENMO, MAD, and CPM vertical axis and CPM vector magnitude (GGIR). Intraclass correlations and Bland‒Altman plots identified metric differences for time use in single movement behaviors (physical activity, sedentary behavior), average acceleration and intensity gradient. Regression models across the four metrics were used to explore differences in 24-hour movement behaviors (24h-MBs; compositional variable) as for exploration of associations with cardiometabolic variables.
Movement behavior data from 213 Belgian adults (mean age 45.8±10.8 years, 68.5% female) differed according to the metric used, with ENMO representing the most sedentary movement behavior profile and CPM vector magnitude representing the most active profile. Compliance rates for meeting integrated 24h-MBs guidelines varied from 0-25% depending on the metric used. Furthermore, the strength and direction of associations between movement behavior features and cardiometabolic variables (body mass index, waist circumference, fat% and HbA1c) differed by the choice of metric.
The metric used during data processing markedly influenced cut-point dependent time use estimates and cut-point independent average acceleration and intensity gradient, impacting guideline compliance and associations with cardiometabolic variables. Consideration is necessary when comparing findings from accelerometry studies to inform public health guidelines.
运动行为特征，如时间使用估计、平均加速度和强度梯度，对于理解与心脏代谢健康相关的因素至关重要。本研究的目的是：1）比较成人中常用加速度计指标（即欧几里得范数减一（ENMO）、平均振幅偏差（MAD）和每分钟计数（CPM））处理的运动行为特征；2）研究加速度计指标对运动行为准则遵守情况的影响；3）探讨根据所选指标，运动行为特征与心脏代谢变量之间的关联可能存在差异。
本横断面研究收集了运动行为特征（Actigraph GT3X+）和心脏代谢变量。使用四个指标（即 ENMO、MAD 和 CPM 垂直轴和 CPM 矢量幅度（GGIR））分析加速度计数据。采用组内相关系数和 Bland-Altman 图确定了单项运动行为（体力活动、久坐行为）、平均加速度和强度梯度的时间使用指标差异。使用四个指标的回归模型探索 24 小时运动行为（24h-MB；组成变量）的差异，以探索与心脏代谢变量的关联。
来自 213 名比利时成年人（平均年龄 45.8±10.8 岁，68.5%女性）的运动行为数据因所用指标而异，其中 ENMO 代表最久坐的运动行为特征，CPM 矢量幅度代表最活跃的特征。根据所用指标，符合综合 24h-MB 准则的比例从 0%到 25%不等。此外，运动行为特征与心脏代谢变量（体重指数、腰围、脂肪百分比和 HbA1c）之间的关联强度和方向因指标的选择而不同。
数据处理中使用的指标显著影响了基于切点的时间使用估计和独立于切点的平均加速度和强度梯度，从而影响了准则的遵守情况和与心脏代谢变量的关联。在比较加速度计研究结果以告知公共卫生指南时，需要考虑这些因素。
