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

Brett S. Nickerson, Grant M. Tinsley, Michael R. Esco

Research output: Contribution to journalArticle

3 Scopus citations

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 -2 ) 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-DXA SR and 3C-DXA W ) 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-DXA SR produced slightly lower total error values than 3C-DXA W 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.

Original languageEnglish
Pages (from-to)1032-1039
Number of pages8
JournalMedicine and Science in Sports and Exercise
Volume51
Issue number5
DOIs
StatePublished - May 1 2019

    Fingerprint

Keywords

  • BIOIMPEDANCE
  • BODY COMPOSITION
  • DXA
  • SKINFOLD

Cite this