Jakicic John M, Marcus Marsha, Gallagher Kara I, Randall Colby, Thomas Erin, Goss Fredric L, Robertson Robert J
Physical Activity and Weight Management Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Med Sci Sports Exerc. 2004 May;36(5):897-904. doi: 10.1249/01.mss.0000126805.32659.43.
To assess the accuracy of the SenseWear Pro Armband for estimating energy expenditure during exercise.
: Forty subjects (age = 23.2 +/- 3.8 yr; body mass index = 23.8 +/- 3.1 kg x m) performed four exercises (walking, cycling, stepping, arm ergometry) with each exercise lasting 20-30 min and workload increasing at 10-min intervals. Subjects wore the SenseWear Pro Armband on the right arm, and energy expenditure was estimated using proprietary equations developed by the manufacturer. Estimated energy expenditure from the SenseWear Pro Armband was compared with energy expenditure determined from indirect open-circuit calorimetry, which served as the criterion measure.
: When a generalized proprietary algorithm was applied to the data, the SenseWear Pro Armband significantly underestimated total energy expenditure by 14.9 +/- 17.5 kcal (6.9 +/- 8.5%) during walking exercise, 32.4 +/- 18.8 kcal (28.9 +/- 13.5%) during cycle ergometry, 28.2 +/- 20.3 kcal (17.7 +/- 11.8%) during stepping exercise, and overestimated total energy expenditure by 21.7 +/- 8.7 kcal (29.3 +/- 13.8%) during arm ergometer exercise (P < or = 0.001). At the request of the investigators, exercise-specific algorithms were developed by the manufacturer and applied to the data that resulted in nonsignificant differences in total energy expenditure between indirect calorimetry and the SenseWear Pro Armband of 4.6 +/- 18.1 kcal (2.8 +/- 9.4%), 0.3 +/- 11.3 kcal (0.9 +/- 10.7%), 2.5 +/- 18.3 kcal (0.9 +/- 11.9%), and 3.2 +/- 8.1 kcal (3.8 +/- 9.9%) for the walk, cycle ergometer, step, and arm ergometer exercises, respectively.
It appears that it is necessary to apply exercise-specific algorithms to the SenseWear Pro Armband to enhance the accuracy of estimating energy expenditure during periods of exercise. When exercise-specific algorithms are used, the SenseWear Pro Armband provides an accurate estimate of energy expenditure when compared to indirect calorimetry during exercise periods examined in this study.
评估SenseWear Pro臂带在估计运动期间能量消耗方面的准确性。
40名受试者(年龄 = 23.2±3.8岁;体重指数 = 23.8±3.1 kg/m²)进行四项运动(步行、骑自行车、踏步、手臂测力计运动),每项运动持续20 - 30分钟,工作量每隔10分钟增加一次。受试者将SenseWear Pro臂带佩戴在右臂上,并使用制造商开发的专有方程来估计能量消耗。将SenseWear Pro臂带估计的能量消耗与通过间接开路量热法确定的能量消耗进行比较,间接开路量热法作为标准测量方法。
当将通用专有算法应用于数据时,SenseWear Pro臂带在步行运动期间显著低估总能量消耗14.9±17.5千卡(6.9±8.5%),在自行车测力计运动期间低估32.4±18.8千卡(28.9±13.5%),在踏步运动期间低估28.2±20.3千卡(17.7±11.8%),而在手臂测力计运动期间高估总能量消耗21.7±8.7千卡(29.3±13.8%)(P≤0.001)。应研究者要求,制造商开发了特定运动算法并应用于数据,结果显示间接量热法与SenseWear Pro臂带之间的总能量消耗差异不显著,步行、自行车测力计、踏步和手臂测力计运动分别为4.6±18.1千卡(2.8±9.4%)、0.3±11.3千卡(0.9±10.7%)、2.5±18.3千卡(0.9±11.9%)和3.2±8.1千卡(3.8±9.9%)。
似乎有必要将特定运动算法应用于SenseWear Pro臂带,以提高运动期间估计能量消耗的准确性。当使用特定运动算法时,与本研究中所检测运动期间的间接量热法相比,SenseWear Pro臂带能准确估计能量消耗。