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Nutrition and Health (including climate and ecological aspects)

Effect of total body water estimates via bioimpedance on bod pod-based three-compartment body fat models

Abstract

Background/objectives

Previous research has compared 2- and 3-compartment (2C and 3C, respectively) models against criterion 4-compartment (4C) models while utilizing the same body density (Db) method for all measures. This design induces an inherent bias and obscures the added benefit of a 3C model over the simpler 2-compartment (2C) models.

Purpose

The purpose of this study was to determine the effect of total body water estimates via single-frequency (SF-BIA) and multi-frequency (MF-BIA) bioimpedance analysis on body fat estimates derived from air displacement plethysmography (ADP)-derived 3C models.

Subjects/methods

A sample of 95 females and 82 males (n = 177) participated in this study. Underwater weighing, dual energy X-ray absorptiometry, and bioimpedance spectroscopy were used to calculate percent fat (%Fat) via a criterion 4C model (4CCRITERION). %Fat was predicted via 3CMFBIA (ADP and MF-BIA), 3CSFBIA (ADP and SF-BIA), and a stand-alone 2-compartment (2C) model, based upon ADP, when using Siri and Brozek body density conversion formulas (2CSIRI and 2CBROZEK. respectively).

Results

The standard error of estimate (SEE) was lowest for 3CSFBIA when evaluated in females and males (2.72% and 2.31%, respectively) and highest for 2CSIRI (3.98% and 3.84%, respectively). Similarly, the total error (TE) for females and males was lowest for 3CSFBIA (3.21% and 2.67%, respectively) and highest for 2CSIRI (4.58% and 4.48%, respectively) and 2CBROZEK (4.65% and 4.33%, respectively).

Conclusions

Results suggest that SF-BIA and MF-BIA can improve the estimation of %Fat, beyond simpler 2C models, when integrated with ADP in a more advanced 3C model. Furthermore, the present study revealed that 3CSFBIA was the best overall prediction model based upon TE values. The current study results support the integration of ADP and bioimpedance technology as part of a 3C model for the improvement of %Fat estimates over simpler 2C models.

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Fig. 1: Bland–Altman plot for %Fat when comparing prediction models against 4CCRITERION in female subjects.
Fig. 2: Bland–Altman plot for %Fat when comparing prediction models against 4CCRITERION in male subjects.

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Acknowledgements

The authors would like to acknowledge Gabriel L. Perez, Joshua Carrillo, Andres Orozco, Isabel Delgado, Noel Medrano, and Misael Duque for their efforts in the data collection of the current study. Results of the present study are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation. This study received funding support through the Texas A&M International University Quality Enhancement Plan.

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Contributions

BSN wrote the manuscript with help from SVN, MIJ, and SAC. BSN and SAC conducted the study design. BSN and SVN assisted with all data collection. BSN and SAC completed statistical analysis. BSN, SVN, and MIJ designed figures and tables.

Corresponding author

Correspondence to Brett S. Nickerson.

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Nickerson, B.S., Narvaez, S.V., Juarez, M.I. et al. Effect of total body water estimates via bioimpedance on bod pod-based three-compartment body fat models. Eur J Clin Nutr 76, 581–587 (2022). https://doi.org/10.1038/s41430-021-00982-7

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