Body composition in athletes and sports nutrition: an examination of the bioimpedance analysis technique
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.
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It is crucial to use BIA-based equations that have been developed and validated in a similar population as the one being assessed.
“Recent studies showed that it is crucial to use BIA-based equations that have been developed and validated in a similar population as the one being assessed [20, 21].”
Inclusion of athletes from different sports in previous development studies can result in a loss of accuracy when athletes of specific sports are evaluated.
“Similarly, the inclusion of athletes from different sports in the previous development studies [32, 33], even though they may have satisfied an initial request for predictive equations to be applied in the context of sport [20], can result in a loss of accuracy when athletes of specific sports are evaluated.”
Multi-compartment models have the ability to distinguish multiple tissue components, which reduces the assumptions from which body composition estimates are based and increases the accuracy.
“Multi-compartment models have the ability to distinguish multiple tissue components, which reduces the assumptions from which body composition estimates are based and increases the accuracy [70,71].”
From The Utility of Body Composition Assessment in Nutrition and Clinical Practice: An Overview of Current Methodology (2021) · cites this paper as [70]
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“Starting from the relationships between resistance and reactance with TBW [19], numerous BIA-based predictive equations have been developed over the years [20].”
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“Recent studies showed that it is crucial to use BIA-based equations that have been developed and validated in a similar population as the one being assessed [20, 21].”
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- Authors
- Moon, J. R.
- Affiliations
- United States Sports Academy (US)
- Corresponding author
- Moon, J R
- ORCID
- Moon, J R
- Venue
- European Journal of Clinical Nutrition
- Published
- 2013-01
- Volume
- 67
- Issue
- S1
- Pages
- S54-S59
- ISSN
- 0954-3007 (ISSN-L)
- 1476-5640
- OpenAlex
- W2033359083
- Cited by
- 237
- References
- 94
- Citations by year
- 2026: 21 · 2025: 17 · 2024: 17 · 2023: 20 · 2022: 26 · 2021: 32 · 2020: 25 · 2019: 19 · 2018: 24 · 2017: 8 · 2016: 9 · 2015: 9 · 2014: 7 · 2013: 3
- FWCI
- 1.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Muscle metabolism and nutrition
- Keywords
- body composition, athletes, bioelectrical impedance analysis, fat mass, fat-free mass, total body water, measurement error, sports nutrition, dual-energy X-ray absorptiometry
- MeSH terms
- Adipose Tissue, Anthropometry, Body Composition, Body Fluid Compartments, Humans, Sports, Electric Impedance, Validation Studies as Topic, Athletes
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