Literature DB >> 27159216

Estimating fat-free mass in elite-level male rowers: a four-compartment model validation of laboratory and field methods.

Kristina L Kendall1, David H Fukuda2, Parker N Hyde3, Abbie E Smith-Ryan4, Jordon R Moon5, Jeffrey R Stout2.   

Abstract

The purpose of this study was to investigate the accuracy of fat-free mass (FFM) estimates from two-compartment (2C) models including air displacement plethysmography (ADP), ultrasound (US), near-infrared interactance (NIR), and the Jackson and Pollock skinfold equation (SKF) against a criterion four-compartment (4C) model in elite male rowers.
METHODS: Twenty-three elite-level male rowers (mean± SD; age 24.6 ± 2.2 years; stature: 191.4 ± 7.2 cm; mass: 87.2 ± 11.2 kg) participated in this investigation. All body composition assessments were performed on the same day in random order, except for hydrostatic weighing (HW), which was measured last. FFM was evaluated using a 4C model, which included total body water from bioimpedance spectroscopy, body volume from HW, and total body bone mineral via dual-energy X-ray absorptiometry. The major findings of the study were that the 2C models evaluated overestimated FFM and should be considered with caution for the assessment of FFM in elite male rowers. Future studies should use multiple-compartment models, with measurement of TBW and bone mineral content, for the estimation of FFM.

Entities:  

Keywords:  Multi-compartment; air displacement plethysmography; body composition; dual-energy X-ray absorptiometry; ultrasound

Mesh:

Substances:

Year:  2016        PMID: 27159216     DOI: 10.1080/02640414.2016.1183802

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  6 in total

Review 1.  Current body composition measurement techniques.

Authors:  Thaisa Lemos; Dympna Gallagher
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2017-10       Impact factor: 3.243

2.  Comparison of Techniques for Tracking Body Composition Changes across a Season in College Women Basketball Players.

Authors:  Ashley Ploudre; Jana L Arabas; Liz Jorn; Jerry L Mayhew
Journal:  Int J Exerc Sci       Date:  2018-05-01

3.  Validity of Arm-to-Arm BIA Devices Compared to DXA for Estimating % Fat in College Men and Women.

Authors:  Rebecca A Rockamann; Emily K Dalton; Jana L Arabas; Liz Jorn; Jerry L Mayhew
Journal:  Int J Exerc Sci       Date:  2017-11-01

4.  Validity of DXA body volume equations in a four-compartment model for adults with varying body mass index and waist circumference classifications.

Authors:  Cherilyn N McLester; Brett S Nickerson; Brian M Kliszczewicz; Courtenay S Hicks; Cassie M Williamson; Emily E Bechke; John R McLester
Journal:  PLoS One       Date:  2018-11-05       Impact factor: 3.240

5.  Predictive equations for resting metabolic rate are not appropriate to use in Brazilian male adolescent football athletes.

Authors:  Taillan M Oliveira; Paula A Penna-Franca; Christian H Dias-Silva; Victor Z Bittencourt; Fabio F L C Cahuê; Sidnei J Fonseca-Junior; Anna Paola T R Pierucci
Journal:  PLoS One       Date:  2021-01-14       Impact factor: 3.240

6.  Influence of acute consumption of caffeine vs. placebo over Bia-derived measurements of body composition: a randomized, double-blind, crossover design.

Authors:  Cassie M Williamson; Brett S Nickerson; Emily E Bechke; Cherilyn N McLester; Brian M Kliszczewicz
Journal:  J Int Soc Sports Nutr       Date:  2018-02-13       Impact factor: 5.150

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.