Bassett D R, Ainsworth B E, Swartz A M, Strath S J, O'Brien W L, King G A
Department of Exercise Science and Sport Management, University of Tennessee, Knoxville 37996, USA.
Med Sci Sports Exerc. 2000 Sep;32(9 Suppl):S471-80. doi: 10.1097/00005768-200009001-00006.
This study tested the validity of four motion sensors for measuring energy expenditure (EE) during moderate intensity physical activities in field and laboratory settings. We also evaluated the accuracy of the EE values for selected moderate activities listed in the 1993 Compendium of Physical Activities.
A total of 81 participants (age 19-74 yr) completed selected tasks from six general categories: yardwork, housework, occupation, family care, conditioning, and recreation. Twelve individuals performed each of the 28 activities examined. During each activity, EE was measured using a portable metabolic measurement system. Participants also wore three accelerometers (Computer Science and Applications [CSA], Inc. model 7164; Caltrac; and Kenz Select 2) and the Yamax SW-701 electronic pedometer. For the CSA device, three previously developed regression equations were used to convert accelerometer scores to EE.
The mean error scores (indirect calorimetry minus device) across all activities were: CSA1, 0.97 MET; CSA2, 0.47 MET, CSA3, 0.05 MET; Caltrac, 0.83 MET; Kenz, 0.96 MET; and Yamax, 1.12 MET. The correlation coefficients between indirect calorimetry and motion sensors ranged from r = 0.33 to r = 0.62. The energy cost for power mowing and sweeping/mopping was higher than that listed in the 1993 Compendium (P < 0.05), and the cost for several household and recreational activities was lower (P < 0.05).
Motion sensors tended to overpredict EE during walking. However, they underpredicted the energy cost of many other activities because of an inability to detect arm movements and external work. These findings illustrate some of the limitations of using motion sensors to predict EE in field settings.
本研究测试了四种运动传感器在野外和实验室环境下测量中等强度体力活动期间能量消耗（EE）的有效性。我们还评估了1993年《体力活动纲要》中列出的选定中等强度活动的EE值的准确性。
共有81名参与者（年龄19 - 74岁）完成了从六个一般类别中选定的任务：庭院工作、家务、职业活动、家庭护理、健身锻炼和娱乐活动。12个人参与了所检查的28项活动中的每一项。在每项活动期间，使用便携式代谢测量系统测量EE。参与者还佩戴了三个加速度计（计算机科学与应用公司[CSA]型号7164；Caltrac；以及Kenz Select 2）和Yamax SW - 701电子计步器。对于CSA设备，使用三个先前开发的回归方程将加速度计得分转换为EE。
所有活动的平均误差得分（间接量热法减去设备测量值）分别为：CSA1为0.97梅脱；CSA2为0.47梅脱，CSA3为0.05梅脱；Caltrac为0.83梅脱；Kenz为0.96梅脱；Yamax为1.12梅脱。间接量热法与运动传感器之间的相关系数范围为r = 0.33至r = 0.62。电动割草和清扫/拖地的能量消耗高于1993年《纲要》中列出的数值（P < 0.05），而一些家务和娱乐活动的能量消耗则较低（P < 0.05）。
运动传感器在步行期间往往会高估EE。然而，由于无法检测手臂运动和外部工作，它们低估了许多其他活动的能量消耗。这些发现说明了在野外环境中使用运动传感器预测EE的一些局限性。
