通过总体水和身体密度评估全身蛋白质、矿物质和骨矿物质含量。

Assessing total body protein, mineral, and bone mineral content from total body water and body density.

作者信息

Siconolfi S F, Gretebeck R J, Wong W W

机构信息

Exercise Physiology Laboratory, Space Biomedical Research Institute, National Aeronautics and Space Administration Johnson Space Center, Houston, Texas, USA.

出版信息

J Appl Physiol (1985). 1995 Nov;79(5):1837-43. doi: 10.1152/jappl.1995.79.5.1837.

DOI:10.1152/jappl.1995.79.5.1837

PMID:8594047

Abstract

We hypothesized that investigators could assess bone mineral content (BMC), total body mineral (M), and protein (P) from body water (W) and density (DB) based on the theory of W. E. Siri (Advances in Biological and Medical Physics, 1956, p. 239-280 and Techniques for Measuring Body Composition, 1961, p. 223-224) for body composition analysis. Siri used one or more of the body components and the densities of the body, fat (F), W, M, and P to estimate one of the remaining fractional masses. We compared M, BMC, P. F, and fat-free mass (FFM) in 31 subjects (15 women and 16 men) computed from measurements of W and DB with [4-compartment (4C) model] and without [3-compartment (3C) model] BMC (from dual X-ray absorptiometry). 4C model P was calculated by difference (P = FFM - W - M). Mean difference (P > 0.05) ranged from 0.1 to 0.8%. Correlations [+/- standard error of estimate (%)] between 4C and 3C model values were significant (r = 0.907 +/- 8.8, 0.907 +/- 8.7, 0.969 +/- 6.6, 0.998 +/- 2.0, and 0.999 +/- 0.7% for M, BMC, P, F, and FFM, respectively). We concluded that investigators can assess M, BMC, and P from W and DB.

摘要

我们假设，研究人员可以基于W. E. 西里（《生物与医学物理学进展》，1956年，第239 - 280页以及《身体成分测量技术》，1961年，第223 - 224页）的身体成分分析理论，从身体水分（W）和密度（DB）来评估骨矿物质含量（BMC）、全身矿物质（M）和蛋白质（P）。西里使用一种或多种身体成分以及身体、脂肪（F）、W、M和P的密度来估计其余部分质量分数中的一个。我们比较了31名受试者（15名女性和16名男性）中通过测量W和DB计算得出的M、BMC、P、F和去脂体重（FFM），分别采用了有[四室（4C）模型]和无[三室（3C）模型]BMC（来自双能X线吸收法）的情况。4C模型中的P通过差值计算得出（P = FFM - W - M）。平均差异（P > 0.05）范围为0.1%至0.8%。4C和3C模型值之间的相关性[±估计标准误差（%）]显著（M、BMC、P、F和FFM的r值分别为0.907 ± 8.8、0.907 ± 8.7、0.969 ± 6.6、0.998 ± 2.0和0.999 ± 0.7%）。我们得出结论，研究人员可以从W和DB评估M、BMC和P。