Human Potential Centre, Auckland University of Technology, Auckland, New Zealand.
Research Unit for Active Living, University of Southern Denmark, Odense, Denmark.
PLoS One. 2018 Jun 12;13(6):e0198587. doi: 10.1371/journal.pone.0198587. eCollection 2018.
The aim of the present study was to examine the convergent validity of two commonly-used accelerometers for estimating time spent in various physical activity intensities in adults.
The sample comprised 37 adults (26 males) with a mean (SD) age of 37.6 (12.2) years from San Diego, USA. Participants wore ActiGraph GT3X+ and Actical accelerometers for three consecutive days. Percent agreement was used to compare time spent within four physical activity intensity categories under three counts per minute (CPM) threshold protocols: (1) using thresholds developed specifically for each accelerometer, (2) applying ActiGraph thresholds to regression-rectified Actical CPM data, and (3) developing new 'optimal' Actical thresholds.
Using Protocol 1, the Actical estimated significantly less time spent in light (-16.3%), moderate (-2.8%), and vigorous (-0.4%) activity than the ActiGraph, but greater time spent sedentary (+20.5%). Differences were slightly more pronounced when the low frequency extension filter on the ActiGraph was enabled. The two adjustment methods (Protocols 2 and 3) improved agreement in this sample.
Our findings show that ActiGraph and Actical accelerometers provide significantly different estimates of time spent in various physical activity intensities. Regression and threshold adjustment were able to reduce these differences, although some level of non-agreement persisted. Researchers should be aware of the inherent limitations of count-based physical activity assessment when reporting and interpreting study findings.
本研究旨在检验两种常用于估计成年人不同身体活动强度所花费时间的加速度计的收敛效度。
该样本包括来自美国圣地亚哥的 37 名成年人(26 名男性),平均(SD)年龄为 37.6(12.2)岁。参与者佩戴 ActiGraph GT3X+ 和 Actical 加速度计连续三天。使用百分比一致性来比较在三个每分钟计数(CPM)阈值协议下四个身体活动强度类别中花费的时间:(1)使用为每个加速度计专门开发的阈值,(2)将 ActiGraph 阈值应用于回归校正的 Actical CPM 数据,以及(3)开发新的“最佳”Actical 阈值。
使用协议 1,Actical 估计的轻体力活动(-16.3%)、中强度体力活动(-2.8%)和高强度体力活动(-0.4%)时间明显少于 ActiGraph,但久坐时间(+20.5%)更多。当 ActiGraph 上启用低频扩展滤波器时,差异更加明显。两种调整方法(协议 2 和 3)改善了该样本中的一致性。
我们的研究结果表明,ActiGraph 和 Actical 加速度计提供了对不同身体活动强度所花费时间的显著不同的估计。回归和阈值调整能够减少这些差异,但仍存在一定程度的不一致。当报告和解释研究结果时,研究人员应该意识到基于计数的身体活动评估的固有局限性。