Withers R T, Norton K I, Craig N P, Hartland M C, Venables W
Eur J Appl Physiol Occup Physiol. 1987;56(2):181-90. doi: 10.1007/BF00640642.
One hundred and thirty-five females were tested in order to: produce some normative percentage body fat (% BF) data on an Australian sample which represented a cross-section of physical activity patterns, cross-validate existing multiple regression equations which predict body density (BD) from anthropometric measurements, and if necessary develop population specific equations. Measurements were taken of 10 girths, 3 widths and 7 skinfolds. Body density was measured by underwater weighing with the residual volume (RV) being determined by helium dilution. The Siri equation was then used to convert BD to % BF. The % BF scores had an overall mean of 23.4 (range 10.8-49.2). The very active group (n = 45) had a significantly lower (p less than 0.05) relative body fat (X = 20.6% BF) than either the active (n = 45; 23.5% BF) or sedentary groups (n = 45; 26.2% BF). Previously published equations were found to have limited applicability to Australian subjects. A stepwise multiple regression was therefore used to develop the following equation (R = 0.893): BD(g X cm-3) = 1.16957-0.06447 (log10 sigma triceps, subscapular, supraspinale, front thigh, abdominal and calf skinfolds in mm)-0.00081 (gluteal girth in cm) + 0.0017 (forearm girth in cm) + 0.00606 (biepicondylar humerus breadth in cm). Only those predictors which resulted in a statistically significant increase in r (p less than or equal to 0.05) were included. The standard error of estimate of 0.00568 g X cm-3 was equivalent to 2.6% BF at the mean.
对135名女性进行了测试,目的如下:获取澳大利亚样本中一些具有代表性的身体脂肪百分比(%BF)的标准数据,这些样本代表了不同的身体活动模式;对现有的根据人体测量数据预测身体密度(BD)的多元回归方程进行交叉验证,如有必要,开发针对特定人群的方程。测量了10个围度、3个宽度和7个皮褶厚度。通过水下称重测量身体密度,用氦稀释法测定残气量(RV)。然后使用西里方程将BD转换为%BF。%BF得分的总体平均值为23.4(范围为10.8 - 49.2)。非常活跃组(n = 45)的相对体脂率(X = 20.6%BF)显著低于活跃组(n = 45;23.5%BF)和久坐组(n = 45;26.2%BF)(p < 0.05)。发现先前发表的方程对澳大利亚受试者的适用性有限。因此,采用逐步多元回归开发了以下方程(R = 0.893):BD(g/cm³)= 1.16957 - 0.06447(log₁₀三头肌、肩胛下、脊上、大腿前、腹部和小腿皮褶厚度之和,单位为mm)- 0.00081(臀围,单位为cm)+ 0.0017(前臂围,单位为cm)+ 0.00606(肱骨双髁宽度,单位为cm)。仅纳入那些能使r值有统计学显著增加(p ≤ 0.05)的预测变量。估计标准误差为0.00568 g/cm³,相当于平均值时的2.6%BF。