Garcia Ada L, Wagner Karen, Hothorn Torsten, Koebnick Corinna, Zunft Hans-Joachim F, Trippo Ulrike
German Institute of Human Nutrition, Potsdam-Rehbruecke, Nuthetal, Germany.
Obes Res. 2005 Mar;13(3):626-34. doi: 10.1038/oby.2005.67.
To develop improved predictive regression equations for body fat content derived from common anthropometric measurements.
117 healthy German subjects, 46 men and 71 women, 26 to 67 years of age, from two different studies were assigned to a validation and a cross-validation group. Common anthropometric measurements and body composition by DXA were obtained. Equations using anthropometric measurements predicting body fat mass (BFM) with DXA as a reference method were developed using regression models.
The final best predictive sex-specific equations combining skinfold thicknesses (SF), circumferences, and bone breadth measurements were as follows: BFM(New) (kg) for men = -40.750 + {(0.397 x waist circumference) + [6.568 x (log triceps SF + log subscapular SF + log abdominal SF)]} and BFM(New) (kg) for women = -75.231 + {(0.512 x hip circumference) + [8.889 x (log chin SF + log triceps SF + log subscapular SF)] + (1.905 x knee breadth)}. The estimates of BFM from both validation and cross-validation had an excellent correlation, showed excellent correspondence to the DXA estimates, and showed a negligible tendency to underestimate percent body fat in subjects with higher BFM compared with equations using a two-compartment (Durnin and Womersley) or a four-compartment (Peterson) model as the reference method.
Combining skinfold thicknesses with circumference and/or bone breadth measures provide a more precise prediction of percent body fat in comparison with established SF equations. Our equations are recommended for use in clinical or epidemiological settings in populations with similar ethnic background.
开发基于常见人体测量指标的改进型预测回归方程，用于估算体脂含量。
来自两项不同研究的117名健康德国受试者（46名男性和71名女性，年龄在26至67岁之间）被分为验证组和交叉验证组。获取了常见人体测量指标以及通过双能X线吸收法（DXA）测得的身体成分数据。使用回归模型，开发了以DXA为参考方法、利用人体测量指标预测体脂质量（BFM）的方程。
最终最佳的性别特异性预测方程，结合了皮褶厚度（SF）、周长和骨宽度测量值，具体如下：男性的BFM（新）（kg）= -40.750 + {（0.397×腰围）+ [6.568×（log肱三头肌皮褶厚度+log肩胛下皮褶厚度+log腹部皮褶厚度）]}；女性的BFM（新）（kg）= -75.231 + {（0.512×臀围）+ [8.889×（log颏下皮褶厚度+log肱三头肌皮褶厚度+log肩胛下皮褶厚度）]+（1.905×膝宽）}。验证组和交叉验证组对BFM的估计具有极佳的相关性，与DXA估计值显示出极佳的一致性，并且与以两成分模型（杜宁和沃姆斯利）或四成分模型（彼得森）作为参考方法的方程相比，在BFM较高的受试者中，低估体脂百分比的趋势可忽略不计。
与既定的皮褶厚度方程相比，将皮褶厚度与周长和/或骨宽度测量值相结合，能更精确地预测体脂百分比。建议将我们的方程用于具有相似种族背景人群的临床或流行病学研究中。
