Body Composition in Youths Aged 10-17 Years by Deuterium Oxide Dilution, Air Displacement Plethysmography, and DXA: Validation of the Medical Body Composition Analyzer Bioimpedance Device by a 4-Compartment Model

Background: The medical body composition analyzer (mBCA) incorporates advances in multifrequency technology and has been validated using a 4-compartment (4C) model in adults but not in youths aged <18 y.Objectives: This study aimed to formulate a 4C model based on 3 reference methods and develop and validate a body composition prediction equation for the mBCA in youths aged 10-17 y.Methods: The body density of 60 female and male youths was measured by air displacement plethysmography, total body water by deuterium oxide dilution, and BMC by DXA. Data from the equation group (n = 30) were used to formulate a 4C model. The all-possible -regressions method was used to select variables. The model was validated in a second cohort (n = 30) in a random split design. The ac-curacy, precision, and potential bias were evaluated by the Bland and Altman procedure.Results: Mean age, weight (W), height (H), waist circumference, and z-score of BMI were 13.6 +/- 2.3 y, 54.5 +/- 15.5 kg, 156 +/- 11.9 cm, 75.5 +/- 10.9 cm, and 0.70 +/- 1.32 z, respectively. The prediction equation was as follows: FFM in kg (FFMkg) = ([0.2081] * [W] + [0.8814] * [H2cm/R omega] + [0.2055 * Xc omega])-15.343; R2 = 0.96; standardized root-mean-square error (SRMSE) = 2.18 kg. FFM did not differ between the 4C method (38.9 +/- 12.0 kg) and the mBCA (38.4 +/- 11.4 kg) (P > 0.05). The relationship between these 2 variables did not deviate from the identity line, was not significantly different from 0, and the slope was not significantly different from 1.0. In the precision prediction model of mBCA, the R2 value was 0.98 and SRMSE was 2.1. No significant bias was found when regressing differences between methods and their means (P = 0.08).Conclusions: The equation for the mBCA was accurate, precise, had no significant bias, had substantial strength of agreement and could be used in this age group when subjects were preferentially within the constraints of a specified body size.

Automated summary

This study aimed to develop and validate a 4C model prediction equation for assessing body composition in youths aged 10-17 years. The equation showed accuracy and precision in identifying fat mass, fat-free mass, and bone mass by incorporating three reference methods.