Institute of Nutrition and Food Technology, University of Chile, Santiago, Chile; Catholic University Cardinal Silva Henriquez, Santiago, Chile.
Institute of Nutrition and Food Technology, University of Chile, Santiago, Chile.
Nutrition. 2020 Sep;77:110803. doi: 10.1016/j.nut.2020.110803. Epub 2020 Mar 12.
This study aimed to develop predictive anthropometric models for total and truncal body fat in Chilean children using the following anthropometric measurements: weight, height, skinfold thickness, and circumference.
This cross-sectional study included 669 Chilean children (12.0 y ± 1.3) in Tanner stage IV from the Growth and Obesity Chilean Cohort Study. Anthropometric measurements and dual-energy X-ray absorptiometry were determined to calculate total and truncal body fat. Prediction models were fitted by linear regression analysis.
The predictive equation for log total body fat (kg) was 0.449 + 0.049 (body mass index in kg/m) + 0.018 (triceps skinfold in mm) + 0.012 (biceps skinfold in mm) + 0.019 (brachial circumference in cm) + 0.091 (sex: 1 = boy, 2 = girl) + 0.018 (age in y). The predictive equation for log truncal fat (kg) was -2.107 + 0.046 (waist circumference in cm) + 0.010 (subscapular skinfold in mm) + 0.259 (sex: 1 = boy, 2 = girl) + 0.006 (age in y). The test of concordance between the predictive equations of total and truncal body fat with gold standard was r = 0.85 and 0.91, respectively.
In Chilean children, the high correlation between observed and predicted values enabled us to develop predictive equations for total and truncal body fat for children.
本研究旨在使用以下人体测量学测量值:体重、身高、皮褶厚度和周长,为智利儿童建立预测全身和躯干体脂肪的预测模型。
本横断面研究纳入了来自智利生长与肥胖队列研究的 669 名智利儿童(12.0 岁±1.3 岁),处于 Tanner 分期 IV 期。通过双能 X 射线吸收法确定人体测量学测量值,以计算全身和躯干体脂肪。通过线性回归分析拟合预测模型。
全身总脂肪(kg)的预测方程为 0.449+0.049(kg/m 体重指数)+0.018(肱三头肌皮褶厚度,mm)+0.012(二头肌皮褶厚度,mm)+0.019(臂围,cm)+0.091(性别:1=男孩,2=女孩)+0.018(年龄,y)。躯干脂肪(kg)的预测方程为-2.107+0.046(腰围,cm)+0.010(肩胛下皮褶厚度,mm)+0.259(性别:1=男孩,2=女孩)+0.006(年龄,y)。全身和躯干体脂肪预测方程与金标准之间的一致性检验 r 值分别为 0.85 和 0.91。
在智利儿童中,观察值与预测值之间的高度相关性使我们能够为儿童建立全身和躯干体脂肪的预测方程。