Department of Exercise and Health Sciences, University of Massachusetts Boston, 100 Morrissey Blvd, Boston, MA 02125, USA.
Eur J Appl Physiol. 2011 Jul;111(7):1381-9. doi: 10.1007/s00421-010-1758-2. Epub 2010 Dec 12.
The purpose of this study was twofold: (1) develop a refined 2-regression model for the Actical which predicts METs every 15 s, and (2) compare the refined and 2008 Crouter 2-regression models and the Klippel and Heil equations during free-living activity. To develop the refined 2-regression model, 48 participants (mean ± SD; age 35 ± 11.4 years) performed 10-min bouts of various activities ranging from sedentary to vigorous intensity. An Actical accelerometer was worn on the left hip, and a Cosmed K4b(2) was used to measure oxygen consumption. For the free-living measurements, 29 participants (age, 38 ± 11.7 years; BMI, 25.0 ± 4.6 kg m(-2)) were monitored for approximately 6 h during work (N = 23) or leisure time (N = 9) while wearing an Actical and Cosmed. Actical prediction equations were compared against the Cosmed for METs and time spent in sedentary behaviors, light physical activity (LPA), moderate PA (MPA), vigorous PA (VPA), and moderate and vigorous PA (MVPA). The refined 2-regression model developed used an exponential regression equation and a linear equation to predict METs every 15 s for walking/running and intermittent lifestyle activities, respectively. Based on the free-living measurement, the refined 2-regression model was the only method that was not significantly different from the Cosmed for estimating time spent in sedentary behaviors, LPA, and MVPA (P > 0.05). On average, compared to the Cosmed, the refined 2-regression model and the Klippel and Heil equations had similar mean errors for average METs.
（1）建立一个新的 Actical 双回归模型，以每 15 秒预测代谢当量（METs）；（2）在自由活动期间比较新模型与 2008 年 Crouter 双回归模型和 Klippel 和 Heil 方程。为了建立新的双回归模型，48 名参与者（平均年龄±标准差：35±11.4 岁）进行了 10 分钟不同强度的活动，包括从静坐到剧烈运动。在左髋部佩戴 Actical 加速度计，同时使用 Cosmed K4b(2)测量耗氧量。在自由活动测量中，29 名参与者（年龄 38±11.7 岁；BMI 25.0±4.6kg/m²）在工作（N=23）或休闲时间（N=9）时佩戴 Actical 和 Cosmed 约 6 小时，以监测代谢当量和久坐行为、轻度体力活动（LPA）、中度体力活动（MPA）、剧烈体力活动（VPA）以及中高强度体力活动（MVPA）的时间。与 Cosmed 相比，Actical 预测方程在预测代谢当量和久坐行为、LPA 和 MVPA 时间方面，新的双回归模型是唯一没有显著差异的方法（P＞0.05）。在自由活动测量中，与 Cosmed 相比，新的双回归模型和 Klippel 和 Heil 方程在平均 METs 的平均误差方面相似。
