Zakeri Issa, Puyau Maurice R, Adolph Anne L, Vohra Firoz A, Butte Nancy F
U.S. Department of Agriculture/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA.
J Nutr. 2006 May;136(5):1371-6. doi: 10.1093/jn/136.5.1371.
The most appropriate model for normalization of energy expenditure (EE) data for body mass or composition in growing children and adolescents has not been studied extensively. In this study, we investigated allometric modeling for the normalization of EE data for body mass or composition in a large cohort of children (n = 833), ages 5-19 y for a wide range of physical activities. Anthropometry was performed by standard techniques, and total body fat-free mass (FFM) and fat mass (FM) were determined by dual-energy X-ray absorptiometry (DXA). Weight status was defined as nonoverweight or overweight based on the 95th percentile for BMI. Total energy expenditure (TEE), basal energy expenditure (BEE), sleeping energy expenditure (SEE), and cycling EE were measured during 24-h room respiration calorimetry. Walking and maximal EE (MaxEE) were measured according to a treadmill protocol. Allometric or power function models were used to identify appropriate scaling parameters for EE. For BEE and lower levels of EE, weight scaled to 0.5. For cycling and treadmill walking/running, the weight exponent approached 0.7. Scaling EE for FFM resulted in exponents of 0.6 for lower rates of EE and 0.8-1.0 for higher rates of EE. Appropriate scaling of EE for body weight and composition of children and adolescents varied primarily as a function of the level of EE. In some instances, the exponents for scaling EE by body weight or composition were influenced by gender and weight status, but not by age.
尚未对用于生长中的儿童和青少年体重或身体成分的能量消耗（EE）数据进行标准化的最合适模型进行广泛研究。在本研究中，我们调查了在一大群5至19岁儿童（n = 833）中，针对各种体育活动的体重或身体成分的EE数据标准化的异速生长模型。人体测量采用标准技术，全身无脂肪质量（FFM）和脂肪质量（FM）通过双能X线吸收法（DXA）测定。根据BMI的第95百分位数将体重状况定义为非超重或超重。在24小时室内呼吸热量测定期间测量总能量消耗（TEE）、基础能量消耗（BEE）、睡眠能量消耗（SEE）和骑自行车时的EE。根据跑步机方案测量步行和最大EE（MaxEE）。使用异速生长或幂函数模型来确定EE的合适缩放参数。对于BEE和较低水平的EE，体重缩放指数为0.5。对于骑自行车以及跑步机步行/跑步，体重指数接近0.7。按FFM缩放EE时，较低EE率的指数为0.6，较高EE率的指数为0.8 - 1.0。儿童和青少年EE按体重和身体成分的适当缩放主要随EE水平而变化。在某些情况下，按体重或身体成分缩放EE的指数受性别和体重状况影响，但不受年龄影响。
