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根据速度或加速度计预测步行代谢当量和能量消耗。

Predicting walking METs and energy expenditure from speed or accelerometry.

作者信息

Brooks Anthony G, Gunn Simon M, Withers Robert T, Gore Christopher J, Plummer John L

机构信息

Exercise Physiology Laboratory, School of Education, Flinders University, Adelaide, South Australia.

出版信息

Med Sci Sports Exerc. 2005 Jul;37(7):1216-23. doi: 10.1249/01.mss.0000170074.19649.0e.

DOI:10.1249/01.mss.0000170074.19649.0e
PMID:16015141
Abstract

PURPOSE

a) Compare the predictive potential of speed and CSA(hip) (Computer Science Applications accelerometer positioned on the hip) for level terrain walking METs (1 MET = VO2 of 3.5 mL.kg(-1).min(-1)) and energy expenditure (kcal.min(-1)); b) cross-validate previously published CSA(hip)- and speed-based MET and energy expenditure prediction equations; c) measure self-paced walking speed, exercise intensity (METs) and energy expenditure in the middle aged population.

METHODS

Seventy-two 35- to 45-yr-old volunteers walked around a level, paved quadrangle at what they perceived to be a moderate pace. Oxygen consumption was measured using the criterion Douglas bag technique. Speed, CSA(hip), heart rate, and Borg rating of perceived exertion were also monitored.

RESULTS

Speed explained 10% more variance of walking METs than CSA(hip). Speed and mass explained 8% more variance of walking energy expenditure (kcal.min) than CSA(hip) and mass. The best previously published regression equations predict our walking METs and energy expenditures within 95% prediction limits of +/- 0.7 METs and +/- 1.0 kcal.min(-1), respectively. Women paced themselves at a significantly higher mean speed (5.5 km.h(-1)) and intensity (4.1 METs) than their male counterparts (5.2 km.h(-1) and 3.8 METs). Both genders expended approximately 0.75 kcal.kg(-1) for every kilometer of level terrain walked.

CONCLUSION

Speed-based MET and energy expenditure predictions during level terrain walking were more accurate than those utilizing CSA(hip).

摘要

目的

a) 比较速度和CSA(髋部)(置于髋部的计算机科学应用加速度计)对平地行走代谢当量(1代谢当量 = 3.5 mL·kg⁻¹·min⁻¹的VO₂)和能量消耗(kcal·min⁻¹)的预测潜力;b) 交叉验证先前发表的基于CSA(髋部)和速度的代谢当量及能量消耗预测方程;c) 测量中年人群的自定步速行走速度、运动强度(代谢当量)和能量消耗。

方法

72名35至45岁的志愿者以他们认为适中的步速在平坦的铺砌四边形区域行走。使用标准道格拉斯袋技术测量耗氧量。还监测了速度、CSA(髋部)、心率和伯格自觉用力评分。

结果

速度对行走代谢当量的方差解释比CSA(髋部)多10%。速度和体重对行走能量消耗(kcal·min)的方差解释比CSA(髋部)和体重多8%。先前发表的最佳回归方程分别在±0.7代谢当量和±1.0 kcal·min⁻¹的95%预测范围内预测我们的行走代谢当量和能量消耗。女性的平均步速(5.5 km·h⁻¹)和强度(4.1代谢当量)显著高于男性(5.2 km·h⁻¹和3.8代谢当量)。男女每行走一公里平地大约消耗0.75 kcal·kg⁻¹。

结论

在平地行走时,基于速度的代谢当量和能量消耗预测比利用CSA(髋部)的预测更准确。

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