Cited by 237Body Composition Measurement TechniquesSports Performance and TrainingMuscle metabolism and nutrition

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

Moon, J R·2013·European Journal of Clinical Nutrition

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.

Integrity signals

Registry

Crossref · 10.1038/ejcn.2012.165

Cites

94 of 94 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Moon, J. R.
Affiliations
United States Sports Academy (US)
Corresponding author
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review