Literature DB >> 29348622

A novel method of utilizing skinfolds and bioimpedance for determining body fat percentage via a field-based three-compartment model.

Michael R Esco1, Brett S Nickerson2, Michael V Fedewa3, Jordan R Moon4, Ronald L Snarr3.   

Abstract

BACKGROUND/
OBJECTIVES: The purpose was to determine if skinfolds (SF) and bioelectrical impedance analysis (BIA) could provide accurate estimates of body volume (BV) and total body water (TBW), respectively, for use in a 3-compartment (3-C) model to estimate percent body fat (BF%) when compared to laboratory derived measures. SUBJECTS/
METHODS: A sample of sixty-four men (age = 22.9 ± 5.4 years) and 59 women (age = 21.6 ± 4.3 years) participated in the study. Laboratory 3-C (3CLAB) model BF% was determined with underwater weighing for body volume (BV) and bioimpedance spectroscopy for total body water (TBW). The 3-C field (3CFIELD) estimates of BF% included BV from the 7-site SF technique and TBW from hand-to-foot BIA.
RESULTS: A significant difference in BF% (p < 0.01) was found between the 3CLAB and 3CFIELD in the entire sample and within the men, but the effect sizes (ES) were small (0.09 and 0.17, respectively). The difference between means was not significant in the women (ES = 0.05, p = 0.332). Compared to the 3CLAB, the total error (TE) ranged 2.2-2.4% for 3CFIELD, 5.7-5.8% for SF, and 4.0-4.6% for BIA.
CONCLUSIONS: The findings suggest that BV and TBW derived from SF and BIA, respectively, can be used in a 3CFIELD model to increase the accuracy of BF% estimates over SF and BIA alone.

Entities:  

Mesh:

Year:  2018        PMID: 29348622     DOI: 10.1038/s41430-017-0060-3

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  6 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.  Generalized Equations for Predicting Percent Body Fat from Anthropometric Measures Using a Criterion Five-Compartment Model.

Authors:  Zackary S Cicone; Brett S Nickerson; Youn-Jeng Choi; Clifton J Holmes; Bjoern Hornikel; Michael V Fedewa; Michael R Esco
Journal:  Med Sci Sports Exerc       Date:  2021-12-01       Impact factor: 5.411

4.  Combining Anthropometry and Bioelectrical Impedance Analysis to Predict Body Fat in Female Athletes.

Authors:  Douglas M Foote; Max Berkelhammer; Jane Marone; Craig A Horswill
Journal:  J Athl Train       Date:  2022-04-01       Impact factor: 3.824

5.  Longitudinal analyses of serum neurofilament light and associations with obesity indices and bioelectrical impedance parameters.

Authors:  Marco Hermesdorf; David Leppert; Aleksandra Maceski; Pascal Benkert; Jürgen Wellmann; Heinz Wiendl; Jens Kuhle; Klaus Berger
Journal:  Sci Rep       Date:  2022-09-23       Impact factor: 4.996

6.  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

  6 in total

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