Adams William C, Deck-Côté Kristin, Winters Kerri M
Human Performance Laboratory, Department of Physical Education, University of California, Davis, California 95616.
Am J Hum Biol. 1992;4(6):767-774. doi: 10.1002/ajhb.1310040608.
It was hypothesized that improved prediction of bone mineral content (BMC) would be achieved by an expanded battery of anthropometric variables beyond height and the four extremity diameters used by previous investigators to predict skeletal mass (r = 0.74). Accordingly, sitting height, trunk diameters, chest depth, and head circumference, as well as whole body BMC and bone mineral density (BMD) via dual-energy X-ray absorptiometry (DEXA), were also measured on 52 young adult females (26 each Blacks and Whites), aged 18 to 30 years. The product of height and the squared sum of four extremity breadths, utilized by previous investigators, resulted in r values of 0.74 and 0.70 for the Black and White groups, respectively. Separate stepwise multiple regressions to predict BMC for each group resulted in a collectively different array of independent variables (though there was some overlap between groups). The multiple regression formula for the Black group (R = 0.88; SEE = 156 g) included height, chest depth, chest diameter at the sixth rib level, and knee bicondylar diameter. That for the White group (R = 0.83; SEE = 193 g) included two diameters (bicondylar and biepicondylar) and head circumference. When anthropometrically estimated values for upper-arm muscle area or upper-leg lean tissue area (which were better correlated to BMD than BMC) were added to these equations, prediction of BMC was further improved (R = 0.91; SEE = 144 g; and R = 0.85; SEE = 187 g, respectively, for the Black and White groups). The major observation in this study was a substantial improvement in the predictive precision of BMC, as assessed by DEXA, via easily obtainable anthropometric data. Further, the SEE values in this totally anthropometric prediction of whole body BMC closely approximate that recently reported for adult females, aged 18-49 years, when including the mid-shaft radial BMC (assessed by single-photon absorptiometry) with height, weight, and body mass index. It is concluded that anthropometric estimation of BMC may be a potentially useful tool to improve the accuracy of percentage body fat estimation assessed by hydrostatic weighing, and that it should be examined in other populations differing significantly in fat-free mass density from the 1.10 g/ml value of the reference man. © 1992 Wiley-Liss, Inc.
研究假设,通过增加一系列人体测量变量,而非仅用身高和先前研究者用于预测骨骼质量的四肢直径(r = 0.74),可以改善对骨矿物质含量(BMC)的预测。因此,对52名年龄在18至30岁的年轻成年女性(黑人与白人各26名)测量了坐高、躯干直径、胸深、头围,以及通过双能X线吸收法(DEXA)测量的全身BMC和骨矿物质密度(BMD)。先前研究者使用的身高与四肢宽度平方和的乘积,在黑人和白人组中得到的r值分别为0.74和0.70。对每组预测BMC的单独逐步多元回归产生了一组不同的自变量(尽管两组之间存在一些重叠)。黑人组的多元回归公式(R = 0.88;SEE = 156 g)包括身高、胸深、第六肋水平的胸围和膝双髁直径。白人组的公式(R = 0.83;SEE = 193 g)包括两个直径(双髁和双髁上)和头围。当将与BMD比与BMC相关性更好的上臂肌肉面积或大腿瘦组织面积的人体测量估计值添加到这些方程中时,BMC的预测得到进一步改善(黑人组和白人组的R分别为0.91;SEE = 144 g和R = 0.85;SEE = 187 g)。本研究的主要观察结果是,通过容易获得的人体测量数据,经DEXA评估,BMC的预测精度有了显著提高。此外,在全身BMC的完全人体测量预测中,SEE值与最近报道的18 - 49岁成年女性的SEE值非常接近,后者在预测中纳入了中轴桡骨BMC(通过单光子吸收法评估)、身高、体重和体重指数。得出结论,BMC的人体测量估计可能是一种潜在有用的工具,可提高通过静水称重评估的体脂百分比估计的准确性,并且应该在与参考男性1.10 g/ml的无脂肪质量密度有显著差异的其他人群中进行检验。© 1992 Wiley - Liss, Inc.