Literature DB >> 30986814

Validity of Field and Laboratory Three-Compartment Models in Healthy Adults.

Brett S Nickerson1, Grant M Tinsley2, Michael R Esco3.   

Abstract

Modified laboratory- and field-based multicompartment models have been found valid for estimating body composition. However, the comparability between these models is unknown.
PURPOSE: This study determined the validity of field and laboratory three-compartment (3C) models in healthy adults.
METHODS: One hundred twenty participants (63 men and 57 women; age, 22 ± 5 yr; BMI, 24.9 ± 3.9 kg·m) participated in this study. A criterion four-compartment model (4C-Criterion) was determined with underwater weighing for body volume (BV), bioimpedance spectroscopy for total body water (TBW), and dual-energy X-ray absorptiometry (DXA) for bone mineral content. Modified laboratory-based 3C models were determined using bioimpedance spectroscopy for TBW and two separate DXA BV equations (3C-DXASR and 3C-DXAW) whereas a field-based 3C model (3C-Field) was obtained using single-frequency bioimpedance analysis for TBW and skinfold-derived BV. In addition, a stand-alone DXA assessment was evaluated.
RESULTS: The effect size of the mean differences when compared to the 4C-Criterion were trivial to small for all modified 3C models and DXA when estimating fat mass, fat-free mass, and body fat percentage. The standard error of estimate and 95% limits of agreement for all modified 3C models and DXA were similar and considered acceptable. However, 3C-Field produced the lowest total error values and 3C-DXASR produced slightly lower total error values than 3C-DXAW and DXA.
CONCLUSIONS: The present study found that all modified 3C models and DXA exhibited acceptable errors. When performed by expert personnel, a field-based 3C model appears to be a viable alternative to laboratory-derived models in healthy adults.

Entities:  

Mesh:

Year:  2019        PMID: 30986814     DOI: 10.1249/MSS.0000000000001876

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  5 in total

1.  Validity of a 3-compartment body composition model using body volume derived from a novel 2-dimensional image analysis program.

Authors:  Katherine Sullivan; Bjoern Hornikel; Clifton J Holmes; Michael R Esco; Michael V Fedewa
Journal:  Eur J Clin Nutr       Date:  2021-03-26       Impact factor: 4.016

2.  Agreement Between A 2-Dimensional Digital Image-Based 3-Compartment Body Composition Model and Dual Energy X-Ray Absorptiometry for The Estimation of Relative Adiposity.

Authors:  Katherine Sullivan; Casey J Metoyer; Bjoern Hornikel; Clifton J Holmes; Brett S Nickerson; Michael R Esco; Michael V Fedewa
Journal:  J Clin Densitom       Date:  2021-09-24       Impact factor: 2.963

3.  Proportional bias of multifrequency bioimpedance analysis is larger in Hispanic females than males.

Authors:  Brett S Nickerson; Ronald L Snarr
Journal:  Nutr Res       Date:  2022-03-26       Impact factor: 3.876

4.  New Frontiers of Body Composition in Sport.

Authors:  Henry Lukaski; Christiana J Raymond-Pope
Journal:  Int J Sports Med       Date:  2021-02-23       Impact factor: 2.997

5.  Accuracy of a Mobile 2D Imaging System for Body Volume and Subsequent Composition Estimates in a Three-Compartment Model.

Authors:  Michael V Fedewa; Katherine Sullivan; Bjoern Hornikel; Clifton J Holmes; Casey J Metoyer; Michael R Esco
Journal:  Med Sci Sports Exerc       Date:  2021-05-01       Impact factor: 5.411

  5 in total

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