Campbell Kristin L, Crocker Peter R E, McKenzie Donald C
School of Human Kinetics, University of British Columbia, Vancouver, BC, Canada.
Med Sci Sports Exerc. 2002 Oct;34(10):1667-74. doi: 10.1097/00005768-200210000-00020.
To investigate the use of Tritrac accelerometers to measure energy expenditure (EE) of various activities for women in the field setting, as compared with portable indirect calorimetry.
Twenty women (age 20-29) performed a choreographed routine of six activities (walking, jogging, stair climbing, walking on an incline, stationary cycling, and arm ergometry) while wearing a Tritrac-R3D accelerometer (Hemokinetics Inc., Madison WI) and the Cosmed K4b(2) portable metabolic cart (Cosmed, Rome, Italy).
Comparing the mean error scores (K4b(2) - Tritrac), the Tritrac overestimated the EE (kcal x min(-1)) of walking (-1.45) and jogging (-1.75), whereas underestimating the EE of stair climbing (2.76), stationary cycling (2.75), and arm ergometry (1.20). Walking on an incline showed the lowest mean error score (-0.11). Intraclass correlations were moderate for walking (r = 0.568, < 0.05), jogging (r = 0.666, < 0.05), and stairs (r = 0.503, < 0.05) but for the other activities ranged from r = 0.290 ( > 0.05) to r = 0.480 ( < 0.05). The raw data from the Tritrac was applied to a previously developed nonlinear model to adjust the Tritrac scores to the standard of whole-room indirect calorimetry. This resulted in statistically significant improvements in the agreement between the adjusted Tritrac value and the K4b for walking, jogging, and walking on an incline ( < 0.05).
When compared with portable indirect calorimetry, the Tritrac overestimates the EE of walking and jogging, whereas underestimating that of stair climbing, stationary cycling, and arm ergometry. This limits the use of such a technique to measure EE in the field. The main issues appear to be the type and intensity of the activity and the need for movement in order for the Tritrac to register EE. Activity specific linear regression equations are proposed as a tool to improve the measurement of EE using the Tritrac in the field.
与便携式间接量热法相比，研究使用Tritrac加速度计测量女性在野外环境中各种活动的能量消耗（EE）情况。
20名年龄在20 - 29岁的女性在进行六项编排好的活动（步行、慢跑、爬楼梯、在斜坡上行走、固定自行车运动和手臂测力计运动）时，佩戴Tritrac - R3D加速度计（Hemokinetics公司，威斯康星州麦迪逊）和Cosmed K4b(2)便携式代谢推车（Cosmed公司，意大利罗马）。
比较平均误差分数（K4b(2) - Tritrac），Tritrac高估了步行（-1.45）和慢跑（-1.75）的能量消耗（千卡×分钟⁻¹），而低估了爬楼梯（2.76）、固定自行车运动（2.75）和手臂测力计运动（1.20）的能量消耗。在斜坡上行走的平均误差分数最低（-0.11）。组内相关性在步行（r = 0.568，P < 0.05）、慢跑（r = 0.666，P < 0.05）和爬楼梯（r = 0.503，P < 0.05）时为中等，但在其他活动中，范围从r = 0.290（P > 0.05）到r = 0.480（P < 0.05）。将Tritrac的原始数据应用于先前开发的非线性模型，以将Tritrac分数调整到全室间接量热法的标准。这使得调整后的Tritrac值与K4b在步行、慢跑和在斜坡上行走时的一致性有了统计学上的显著改善（P < 0.05）。
与便携式间接量热法相比，Tritrac高估了步行和慢跑的能量消耗，而低估了爬楼梯、固定自行车运动和手臂测力计运动的能量消耗。这限制了这种技术在野外测量能量消耗的应用。主要问题似乎是活动的类型和强度以及Tritrac记录能量消耗所需的运动。提出了特定活动的线性回归方程作为一种工具，以改进在野外使用Tritrac测量能量消耗的方法。
