Huang Terry T-K, Watkins Michael P, Goran Michael I
Energy Metabolism Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging and Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA.
Obes Res. 2003 Oct;11(10):1192-9. doi: 10.1038/oby.2003.164.
To develop prediction equations for total body fat specific to Latino children, using demographic and anthropometric measures.
Ninety-six Latino children (7 to 13 years old) were studied. Two-thirds of the sample was randomized into the equation development group; the remainder served as the cross-validation group. Total body fat was measured by DXA. Measures included weight, height, waist and hip circumferences, and skinfolds (suprailiac, triceps, abdomen, subscapula, thigh, and calf).
The previously published equation from Dezenberg et al. did not accurately predict total body fat in Latino children. However, newly developed equations with either body weight alone (intercept +/- SE = 1.78 +/- 1.53 kg, p > 0.05; slope +/- SE = 0.90 +/- 0.07, p > 0.05 against slope = 1.0; R(2) = 0.86), weight plus age and gender (intercept +/- SE = 2.28 +/- 1.20 kg, p > 0.05; slope +/- SE = 0.91 +/- 0.05, p > 0.05; against slope = 1.0; R(2) = 0.92), or weight plus height, gender, Tanner stage, and abdominal skinfold (intercept +/- SE = 1.47 +/- 1.01 kg, p > 0.05; slope +/- SE = 0.93 +/- 0.04, p > 0.05; against slope = 1.0, R(2) = 0.97) predicted total body fat without bias.
Unique prediction equations of total body fat may be needed for Latino children. Weight, as the single most significant predictor, can be used easily to estimate total body fat in the absence of any additional measures. Including age and gender with weight produces an equally stable prediction equation with increasing precision. Using a combination of demographic and anthropometric measures, we were able to capture 97% of the variance in measured total body fat.
利用人口统计学和人体测量学指标,建立针对拉丁裔儿童的全身脂肪预测方程。
对96名7至13岁的拉丁裔儿童进行了研究。样本的三分之二被随机分配到方程开发组;其余作为交叉验证组。通过双能X线吸收法(DXA)测量全身脂肪。测量指标包括体重、身高、腰围和臀围以及皮褶厚度(髂上、肱三头肌、腹部、肩胛下、大腿和小腿)。
Dezenberg等人之前发表的方程不能准确预测拉丁裔儿童的全身脂肪。然而,新开发的仅以体重为变量的方程(截距±标准误=1.78±1.53千克,p>0.05;斜率±标准误=0.90±0.07,与斜率=1.0相比p>0.05;R²=0.86)、体重加年龄和性别的方程(截距±标准误=2.28±1.20千克,p>0.05;斜率±标准误=0.91±0.05,p>0.05;与斜率=1.0相比;R²=0.92),或体重加身高、性别、坦纳分期和腹部皮褶厚度的方程(截距±标准误=1.47±1.01千克,p>0.05;斜率±标准误=0.93±0.04,p>0.05;与斜率=1.0相比,R²=0.97)均能无偏差地预测全身脂肪。
拉丁裔儿童可能需要独特的全身脂肪预测方程。体重作为最显著的单一预测指标,在无其他额外测量指标时可轻松用于估计全身脂肪。将年龄和性别与体重相结合可产生一个同样稳定且精度不断提高的预测方程。通过综合人口统计学和人体测量学指标,我们能够解释实测全身脂肪中97%的变异。