Literature DB >> 23299872

Body composition in athletes and sports nutrition: an examination of the bioimpedance analysis technique.

J R Moon1.   

Abstract

BACKGROUND/
OBJECTIVES: The purpose of the current review was to evaluate how body composition can be utilised in athletes, paying particular attention to the bioelectrical impedance analysis (BIA) technique. SUBJECTS/
METHODS: Various body composition methods are discussed, as well as the unique characteristics of athletes that can lead to large errors when predicting fat mass (FM) and fat-free mass (FFM). Basic principles of BIA are discussed, and past uses of the BIA technique in athletes are explored. Single-prediction validation studies and studies tracking changes in FM and FFM are discussed with applications for athletes.
RESULTS: Although extensive research in the area of BIA and athletes has been conducted, there remains a large gap in the literature pertaining to a single generalised athlete equation developed using a multiple-compartment model that includes total body water (TBW).
CONCLUSIONS: Until a generalised athlete-specific BIA equation developed from a multiple-compartment is published, it is recommended that generalised equations such as those published by Lukaski and Bolonchuk and Lohman be used in athletes. However, BIA equations developed for specific athletes may also produce acceptable values and are still acceptable for use until more research is conducted. The use of a valid BIA equation/device should produce values similar to those of hydrostatic weighing and dual-energy X-ray absorptiometry. However, researchers and practitioners need to understand the individual variability associated with BIA estimations for both single assessments and repeated measurements. Although the BIA method shows promise for estimating body composition in athletes, future research should focus on the development of general athlete-specific equations using a TBW-based three- or four-compartment model.

Entities:  

Mesh:

Year:  2013        PMID: 23299872     DOI: 10.1038/ejcn.2012.165

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


  39 in total

Review 1.  Body composition during growth in children: limitations and perspectives of bioelectrical impedance analysis.

Authors:  U G Kyle; C P Earthman; C Pichard; J A Coss-Bu
Journal:  Eur J Clin Nutr       Date:  2015-06-03       Impact factor: 4.016

2.  Longitudinal agreement of four bioimpedance analyzers for detecting changes in raw bioimpedance during purposeful weight gain with resistance training.

Authors:  Matthew T Stratton; Robert W Smith; Patrick S Harty; Christian Rodriguez; Baylor A Johnson; Jacob R Dellinger; Abegale D Williams; Sarah J White; Marqui L Benavides; Grant M Tinsley
Journal:  Eur J Clin Nutr       Date:  2021-03-16       Impact factor: 4.016

Review 3.  Diagnostic work-up in steroid myopathy.

Authors:  Marco Alessandro Minetto; Valentina D'Angelo; Emanuela Arvat; Santosh Kesari
Journal:  Endocrine       Date:  2017-11-15       Impact factor: 3.633

4.  Nutritional Status Assessment in Children and Adolescents with Various Levels of Physical Activity in Aspect of Obesity.

Authors:  Jerzy Słowik; Elżbieta Grochowska-Niedworok; Izabela Maciejewska-Paszek; Marek Kardas; Ewa Niewiadomska; Magdalena Szostak-Trybuś; Maria Palka-Słowik; Tomasz Irzyniec
Journal:  Obes Facts       Date:  2019-10-22       Impact factor: 3.942

5.  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

6.  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

7.  Ultrasound-based detection of glucocorticoid-induced impairments of muscle mass and structure in Cushing's disease.

Authors:  M A Minetto; C Caresio; M Salvi; V D'Angelo; N E Gorji; F Molinari; G Arnaldi; S Kesari; E Arvat
Journal:  J Endocrinol Invest       Date:  2018-11-15       Impact factor: 4.256

8.  Segmental Phase Angle and Body Composition Fluctuation of Elite Ski Jumpers between Summer and Winter FIS Competitions.

Authors:  Agnieszka Ostachowska-Gąsior; Monika Piwowar; Joanna Zając
Journal:  Int J Environ Res Public Health       Date:  2021-04-29       Impact factor: 3.390

9.  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

10.  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

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