Treuth M S, Adolph A L, Butte N F
United States Department of Agriculture/Agricultural Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas 77030, USA.
Am J Physiol. 1998 Jul;275(1):E12-8. doi: 10.1152/ajpendo.1998.275.1.E12.
The purpose of this study was to predict energy expenditure (EE) from heart rate (HR) and activity calibrated against 24-h respiration calorimetry in 20 children. HR, oxygen consumption (VO2), carbon dioxide production (VCO2), and EE were measured during rest, sleep, exercise, and over 24 h by room respiration calorimetry on two separate occasions. Activity was monitored by a leg vibration sensor. The calibration day (day 1) consisted of specified behaviors categorized as inactive (lying, sitting, standing) or active (two bicycle sessions). On the validation day (day 2), the child selected activities. Separate regression equations for VO2, VCO2, and EE for method 1 (combining awake and asleep using HR, HR2, and HR3), method 2 (separating awake and asleep), and method 3 (separating awake into active and inactive, and combining activity and HR) were developed using the calibration data. For day 1, the errors were similar for 24-h VO2, VCO2, and EE among methods and also among HR, HR2, and HR3. The methods were validated using measured data from day 2. There were no significant differences in HR, VO2, VCO2, respiratory quotient, and EE values during rest, sleep, or over the 24 h between days 1 and 2. Applying the linear HR equations to day 2 data, the errors were the lowest with the combined HR/activity method (-2.6 +/- 5.2%, -4.1 +/- 5.9%, -2.9 +/- 5.1% for VO2, VCO2, and EE, respectively). To demonstrate the utility of the HR/activity method, HR and activity were monitored for 24 h at home (day 3). Free-living EE was predicted as 7,410 +/- 1,326 kJ/day. In conclusion, the combination of HR and activity is an acceptable method for determining EE not only for groups of children, but for individuals.
本研究的目的是根据20名儿童的心率（HR）和活动情况，通过与24小时呼吸热量测定法校准来预测能量消耗（EE）。在两个不同的时间段，通过房间呼吸热量测定法在休息、睡眠、运动期间以及24小时内测量HR、耗氧量（VO2）、二氧化碳产生量（VCO2）和EE。通过腿部振动传感器监测活动情况。校准日（第1天）包括分类为不活动（躺、坐、站）或活动（两次自行车运动）的特定行为。在验证日（第2天），由儿童选择活动。使用校准数据为方法1（使用HR、HR2和HR3合并清醒和睡眠状态）、方法2（区分清醒和睡眠状态）和方法3（将清醒状态分为活动和不活动，并结合活动和HR）分别建立VO2、VCO2和EE的回归方程。对于第1天，24小时VO2、VCO2和EE在各方法之间以及HR、HR2和HR3之间的误差相似。使用第2天的测量数据对这些方法进行验证。第1天和第2天在休息、睡眠期间或24小时内的HR、VO2、VCO2、呼吸商和EE值没有显著差异。将线性HR方程应用于第2天的数据，HR/活动合并方法的误差最低（VO2、VCO2和EE的误差分别为-2.6±5.2%、-4.1±5.9%、-2.9±5.1%）。为了证明HR/活动方法的实用性，在家庭环境中监测了24小时的HR和活动情况（第3天）。预测自由生活状态下的EE为7410±1326千焦/天。总之，HR和活动相结合不仅是确定儿童群体，也是确定个体EE的可接受方法。
