Cited by 372Body Composition Measurement TechniquesBone health and osteoporosis researchSports Performance and Training

Methodology review: using dual-energy X-ray absorptiometry (DXA) for the assessment of body composition in athletes and active people.

Nana, Alisa, Slater, Gary J., Stewart, Arthur D., Burke, Louise M.·2015·International Journal of Sport Nutrition and Exercise Metabolism

Abstract

Dual energy X-ray absorptiometry (DXA) is rapidly becoming more accessible and popular as a technique to monitor body composition, especially in athletic populations. Although studies in sedentary populations have investigated the validity of DXA assessment of body composition, few studies have examined the issues of reliability in athletic populations and most studies which involve DXA measurements of body composition provide little information on their scanning protocols. This review presents a summary of the sources of error and variability in the measurement of body composition by DXA, and develops a theoretical model of best practice to standardize the conduct and analysis of a DXA scan. Components of this protocol include standardization of subject presentation (subjects rested, overnight-fasted and in minimal clothing) and positioning on the scanning bed (centrally aligned in a standard position using custom-made positioning aids) as well as manipulation of the automatic segmentation of regional areas of the scan results. Body composition assessment implemented with such protocol ensures a high level of precision, while still being practical in an athletic setting. This ensures that any small changes in body composition are confidently detected and correctly interpreted. The reporting requirements for studies involving DXA scans of body composition include details of the DXA machine and software, subject presentation and positioning protocols, and analysis protocols.

Integrity signals

Registry

Crossref · 10.1123/ijsnem.2013-0228

Cites

95 of 95 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
Nana, A., Slater, G. J., Stewart, A. D., & Burke, L. M.
Affiliations
University of the Sunshine Coast (AU)
Corresponding author
Nana, Alisa
Venue
International Journal of Sport Nutrition and Exercise Metabolism
Published
2015-04
Volume
25
Issue
2
Pages
198-215
ISSN
  • 1526-484X (ISSN-L)
  • 1543-2742
OpenAlex
W2170903444
Cited by
372
References
95
Citations by year
2026: 26 · 2025: 41 · 2024: 54 · 2023: 41 · 2022: 43 · 2021: 38 · 2020: 44 · 2019: 25 · 2018: 23 · 2017: 21 · 2016: 13 · 2015: 3
FWCI
8.20
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Sport Nutrition and Exercise Metabolism (publishedVersion)
  • PubMed (publishedVersion)
  • Research Bank (Australian Catholic University) (submittedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
Keywords
dual-energy X-ray absorptiometry, body composition assessment, athletes, measurement reliability, measurement error, subject positions, overnight fasting, automatic segmentation, regional body composition, reporting requirements
MeSH terms
Body Composition, Humans, Models, Biological, Sports, Reproducibility of Results, Exercise, Absorptiometry, Photon, 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