Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia; Laboratory SURVEN, National Institute of Nutrition and Food Technology of Tunis, Tunisia.
Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia.
Clin Nutr. 2019 Feb;38(1):227-233. doi: 10.1016/j.clnu.2018.01.028. Epub 2018 Feb 15.
BACKGROUND/OBJECTIVES: Accuracy of impedance analysis depends on population-specific prediction equations. The aim of this study was to propose new prediction equations to estimate body composition using impedance analysis for healthy Tunisian children and validate them using the deuterium oxide dilution (DO) technique.
SUBJECTS/METHODS: Body composition was estimated by the Tanita impedance analyzer. The validity of this system was investigated in 134 school children aged between 8 and 11 years. The validity of other published equations was also tested in our sample. Total body water (TBW) and Fat-Free Mass (FFM) were determined using the DO technique. Participants were divided equally into development (n = 67) and validation groups (n = 67) to develop prediction equation using linear regression models.
The comparison between body composition obtained by Tanita system and by DO technique illustrated a significant difference (p < 0.01). Compared to DO technique, Tanita impedance analysis underestimates fat mass and overestimates FFM and TBW. The prediction equations for TBW and FFM were developed with sex, age, weight and resistance index as possible predictor variables. The selected equations presented the highest adjusted coefficient of determination (R), the lowest standard error of the estimate (SEE) value and the lowest p-values. The pure error was 1.263 for the TBW equation and 1.646 for the FFM. The Bland Altman plot illustrated the good level of concordance between the TBW and FFM predicted by the new equations and measured by isotope dilution.
Our study provides valid prediction equations for estimation of TBW, FFM from impedance analysis measures for Tunisian children. These equations are applicable to children aged between 8 and 11 years.
背景/目的:阻抗分析的准确性取决于特定人群的预测方程。本研究旨在为健康的突尼斯儿童提出新的预测方程,使用阻抗分析来估计身体成分,并使用重水稀释(DO)技术对其进行验证。
受试者/方法:使用 Tanita 阻抗分析仪估计身体成分。该系统的有效性在 134 名 8 至 11 岁的在校儿童中进行了研究。还在我们的样本中测试了其他已发表方程的有效性。使用 DO 技术确定总体水(TBW)和无脂肪质量(FFM)。参与者被平均分为发展组(n=67)和验证组(n=67),以使用线性回归模型开发预测方程。
Tanita 系统和 DO 技术获得的身体成分之间的比较表明存在显著差异(p<0.01)。与 DO 技术相比,Tanita 阻抗分析低估了脂肪量,高估了 FFM 和 TBW。TBW 和 FFM 的预测方程是使用性别、年龄、体重和阻力指数作为可能的预测变量开发的。所选方程具有最高的调整决定系数(R)、最低的估计标准误差(SEE)值和最低的 p 值。TBW 方程的纯误差为 1.263,FFM 方程的纯误差为 1.646。Bland Altman 图说明了新方程预测的 TBW 和 FFM 与同位素稀释测量值之间良好的一致性水平。
本研究为突尼斯儿童提供了基于阻抗分析测量值的 TBW 和 FFM 估算的有效预测方程。这些方程适用于 8 至 11 岁的儿童。