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首页> 外文期刊>Medicine and science in sports and exercise >Prediction of activity energy expenditure using accelerometers in children.
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Prediction of activity energy expenditure using accelerometers in children.

机译：使用儿童加速计预测活动能量消耗。

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PURPOSE: To validate two accelerometer-based activity monitors as measures of children's physical activity using energy expenditure as the criterion measure. METHODS: Actiwatch (AW) and Actical (AC) activity monitors were validated against continuous 4-h measurements of energy expenditure (EE) in a respiratory room calorimeter and 1-h measurements in an exercise laboratory using a portable calorimeter and treadmill in 32 children, ages 7-18 yr. The children performed structured activities including basal metabolic rate (BMR), playing Nintendo, using a computer, cleaning, aerobic exercise, ball toss, treadmill walking, and running. Equations were developed to predict activity energy expenditure (AEE = EE - BMR), and physical activity ratio (PAR = EE/BMR) from a power function of AW or AC, and age, sex, weight, and height. Thresholds were determined to categorize sedentary, light, moderate, and vigorous levels of physical activity. RESULTS: Activity counts accounted for the majority of the variability inAEE and PAR, with small contributions of age, sex, weight, and height. Overall, AW equations accounted for 76-79% and AC equations accounted for 81% of the variability in AEE and PAR. Relatively wide 95% prediction intervals suggest the accelerometers are best applied to groups rather than individuals. Sensitivities were higher for the vigorous threshold (97%) than the other thresholds (86-92%). Specificities were on the order of 66-73%. The positive predictive values for sedentary, light, moderate, and vigorous categories were 80, 66, 69, and 74% for AW, respectively, and 81, 68, 72, 74% for AC, respectively. CONCLUSION: Both accelerometer-based activity monitors provided valid measures of children's AEE and PAR, and can be used to discriminate sedentary, light, moderate, and vigorous levels of physical activity but require further development to accurately predict AEE and PAR of individuals.
机译：目的：使用能量消耗作为标准量度，验证两个基于加速度计的活动监测器作为儿童身体活动的量度。方法：Actiwatch（AW）和Actical（AC）活动监测器针对32名儿童在呼吸室量热仪中进行的连续4小时能量消耗（EE）测量和在运动实验室中进行1小时测量，使用便携式量热计和跑步机进行了验证，年龄7-18岁。孩子们进行了基础活动，包括基础代谢率（BMR），玩任天堂游戏，使用计算机，清洁，有氧运动，抛球，跑步机行走和跑步。建立了方程，以根据AW或AC的幂函数以及年龄，性别，体重和身高来预测活动能量消耗（AEE = EE-BMR）和身体活动比（PAR = EE / BMR）。确定阈值以将久坐，轻度，中度和剧烈运动强度分类。结果：活动计数占AEE和PAR变异性的大部分，而年龄，性别，体重和身高的贡献很小。总体而言，AW方程占AEE和PAR变异性的76-79％，AC方程占81％。相对较宽的95％预测间隔表明，加速度计最适用于群体而不是个人。剧烈阈值（97％）的敏感性高于其他阈值（86-92％）。特异性约为66-73％。久坐，轻度，中度和剧烈运动类别的阳性预测值对于AW分别为80％，66％，69％和74％，对于AC分别为81％，68％，72％，74％。结论：这两种基于加速度计的活动监测器均能有效测量儿童的AEE和PAR，可用于区分久坐，轻度，中度和剧烈运动量，但需要进一步发展以准确预测个体的AEE和PAR。

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