Clasey J L, Kanaley J A, Wideman L, Heymsfield S B, Teates C D, Gutgesell M E, Thorner M O, Hartman M L, Weltman A
Department of Internal Medicine, University of Virginia, Charlottesville, Virginia 22908, USA.
J Appl Physiol (1985). 1999 May;86(5):1728-38. doi: 10.1152/jappl.1999.86.5.1728.
We examined the validity of percent body fat (%Fat) estimation by two-compartment (2-Comp) hydrostatic weighing (Siri 2-Comp), 3-Comp dual-energy X-ray absorptiometry (DEXA 3-Comp), 3-Comp hydrostatic weighing corrected for the total body water (Siri 3-Comp), and anthropometric methods in young and older individuals (n = 78). A 4-Comp model of body composition served as the criterion measure of %Fat (Heymsfield 4-Comp; S. B. Heymsfield, S. Lichtman, R. N. Baumgartner, J. Wang, Y. Kamen, A. Aliprantis, and R. N. Pierson Jr., Am. J. Clin. Nutr. 52: 52-58, 1990.). Comparison of the Siri 3-Comp with the Heymsfield 4-Comp model revealed mean differences of </=0.4 %Fat, r values >/= r = 0.997, total error values </= 0.85 %Fat, and 95% confidence intervals (Bland-Altman analysis) of </=1.7 %Fat. Comparison of Siri 2-Comp, DEXA, and anthropometric models with the Heymsfield 4-Comp revealed that total error scores ranged from +/-4. 0 to +/-10.7 %Fat, and 95% confidence intervals associated with the Bland-Altman analysis ranged from +/-5.1 to +/-15.0 %Fat. We conclude that the Siri 3-Comp model provides valid and accurate body composition data when compared with a 4-Comp criterion model. However, the individual variability associated with the Siri 2-Comp, DEXA 3-Comp, and anthropometric models may limit their use in research settings. The use of anthropometric estimation methods resulted in large mean differences and a considerable amount of interindividual variability. These data suggest that the use of these techniques should be viewed with caution.
我们研究了双室（2-Comp）水下称重法（Siri 2-Comp）、三室双能X线吸收法（DEXA 3-Comp）、校正全身水含量的三室水下称重法（Siri 3-Comp）以及人体测量法在年轻和老年个体（n = 78）中估计体脂百分比（%Fat）的有效性。体成分的四室模型作为%Fat的标准测量方法（Heymsfield 4-Comp；S. B. Heymsfield、S. Lichtman、R. N. Baumgartner、J. Wang、Y. Kamen、A. Aliprantis和R. N. Pierson Jr.，《美国临床营养学杂志》52：52 - 58，1990年）。将Siri 3-Comp与Heymsfield 4-Comp模型进行比较，结果显示平均差异≤0.4 %Fat，r值≥r = 0.997，总误差值≤0.85 %Fat，以及95%置信区间（Bland-Altman分析）≤1.7 %Fat。将Siri 2-Comp、DEXA和人体测量模型与Heymsfield 4-Comp进行比较，结果显示总误差得分范围为±4.0至±10.7 %Fat，与Bland-Altman分析相关的95%置信区间范围为±5.1至±15.0 %Fat。我们得出结论，与四室标准模型相比，Siri 3-Comp模型可提供有效且准确的体成分数据。然而，与Siri 2-Comp、DEXA 3-Comp和人体测量模型相关的个体变异性可能会限制它们在研究中的应用。使用人体测量估计方法会导致较大的平均差异和相当大的个体间变异性。这些数据表明，应谨慎看待这些技术的使用。
