Department of Biology, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia,
Department of Biology, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia.
Ann Nutr Metab. 2020;76(3):183-192. doi: 10.1159/000508514. Epub 2020 Jul 8.
Several methods for the assessment of body composition exist, yet they yield different results. The present study aimed to assess the extent of these differences on a sample of young, healthy subjects. We hypothesised that differences in body composition results obtained with different methods will vary to the extent that a subject can be misclassified into different nutritional categories.
Underwater weighing (UWW), bioelectrical impedance analysis (BIA), anthropometry (ANT), and dual-energy X-ray absorptiometry (DXA) were used to assess body composition. An extensive list of ANT regression equations (or sets of equations) was analysed in terms of accuracy and precision relative to DXA.
When DXA-determined body fat (BF) values were taken as a reference, UWW overestimated BF in both genders. In contrast, BIA (measured with a given bioimpedance analyser) underestimated BF in females, although BIA-determined BF did not differ from DXA in males. A huge difference in BF estimates (8-29% for females and 6-29% for males, for DXA-determined BF of 25.5% and 13.9% for females in males, respectively) was observed across a number of ANT regression equations; yet, ANT proved not to be inferior to DXA, provided that regression equations with the highest combinations of accuracy and precision were chosen.
The study proved grounds for comparison of body composition results of young, healthy subjects, obtained with different methods and across a wide range of ANT regression equations. It also revealed a list of the most appropriate ANT regression equations for the selected sample and reported their accuracy and precision.
目前有多种评估身体成分的方法,但它们的结果却存在差异。本研究旨在评估这些差异在年轻健康受试者样本中的程度。我们假设,不同方法得出的身体成分结果存在差异,以至于受试者可能会被错误地分类到不同的营养类别中。
采用水下称重(UWW)、生物电阻抗分析(BIA)、人体测量学(ANT)和双能 X 射线吸收法(DXA)来评估身体成分。我们分析了大量的 ANT 回归方程(或方程集),以评估其相对于 DXA 的准确性和精密度。
当 DXA 确定的体脂肪(BF)值作为参考时,UWW 在两性中均高估了 BF。相比之下,BIA(使用特定的生物阻抗分析仪测量)在女性中低估了 BF,尽管男性的 BIA 确定的 BF 与 DXA 无差异。在一系列 ANT 回归方程中,BF 估计值存在巨大差异(女性为 8-29%,男性为 6-29%,分别为女性 DXA 确定的 BF 为 25.5%和 13.9%);然而,只要选择了准确性和精密度最高的回归方程,ANT 就不会逊于 DXA。
该研究为比较不同方法和广泛的 ANT 回归方程在年轻健康受试者中获得的身体成分结果提供了依据。它还揭示了一系列最适合所选样本的 ANT 回归方程,并报告了它们的准确性和精密度。