Improving energy expenditure estimation for physical activity
Improving energy expenditure estimation for physical activity
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DOI：
10.1249/01.mss.0000126585.40962.22
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发表时间：
2004-05-01
期刊：
影响因子：
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通讯作者：
Boozer, CN
中科院分区：
文献类型：
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作者：
Zhang, K;Pi-Sunyer, FX;Boozer, CN
目的：本研究的目的是验证能量消耗和活动智能装置（idea）在各种活动期间的能量消耗估计。另一个目的是提高基于运动类型、开始和持续时间的每秒钟信息的体力活动能量消耗估计的准确性。方法：本研究包括两项试验：27名受试者的掩膜量热试验[年龄33.7 +/- 13.8（平均+/- SD）年；BMI = 24.8 +/- 4.8 kg(.)m(-2)]并对10名受试者(年龄= 32.9 +/- 12.4岁；BMI = 26.1 +/- 5.6 kg（.)m(-2)）进行呼吸室量热试验。在面具测试中，受试者进行持续50分钟的活动（坐、站、躺、水平跑步机行走和以不同速度跑步）。在实验室内，受试者在代谢室中生活23小时，并进行三次运动以补偿密闭环境。结果：idea估算的能量消耗与量热计测量的能量消耗之间存在显著相关性（P < 0.0001），准确度为0.95%。在对睡眠代谢率的降低进行校正后，室内测试的估计精度提高了1-96.2%，而夜间活动的估计精度显著提高了4-99%。结论：idea为估算体力活动的能量消耗提供了一种合适的方法。它提供了在给定时期内能量消耗的瞬时和累积估计。
Purpose: The purpose of this study was to validate the Intelligent Device for Energy Expenditure and Activity (IDEEA) for estimation of energy expenditure during a variety of activities. An additional aim was to improve the accuracy of the estimation of energy expenditure of physical activity based on second-by-second information of type, onset, and duration of activity. Methods: This study included two tests: a mask calorimetry test with 27 subjects [age 33.7 +/- 13.8 (mean +/- SD) yr; BMI = 24.8 +/- 4.8 kg(.)m(-2)] and a respiratory chamber calorimetry test with 10 subjects (age = 32.9 +/- 12.4 yr; BMI = 26.1 +/- 5.6 kg(.)m(-2)). In the mask test, the subjects performed activities (sitting, standing, lying down, level treadmill walking, and running at different speeds) for 50-min durations. For the chamber test, subjects lived in the metabolic chamber for 23 h and performed three exercise sessions to compensate for the confined environment. Results: The results showed significant correlations (P < 0.0001) between energy expenditure estimated by IDEEA and energy expenditure measured by the calorimeters with an accuracy > 95%. After corrections for the decrease in sleeping metabolic rate, the estimation accuracy for the chamber test was increased by 1-96.2%, whereas the estimation accuracy for nighttime activity was significantly improved by 4-99%. Conclusion: IDEEA provides a suitable method for estimating the energy expenditure of physical activity. It provides both instantaneous and cumulative estimates of energy expenditure over a given period.