Evidence map›Paper›PMID 39809669›Full record

ArticleJournal of science and medicine in sport2025

Ultrasound-assessed thigh fat thickness is valid for estimating body fat percentage in Division I collegiate female athletes.

Jessica E Tolzman, Katherine A Collins, Corey D Grozier, Megan Keen, Ryan Fajardo, Christopher Kuenze, Matthew S Harkey

Abstract read
In one paragraph

Article in Journal of science and medicine in sport, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jessica E TolzmanDepartment of Kinesiology, Michigan State University, USA. Electronic address: https://twitter.com/tolzman_jessica.
Katherine A CollinsDepartment of Exercise and Sport Science, University of North Carolina at Chapel Hill, USA.
Corey D GrozierDepartment of Kinesiology, Michigan State University, USA.
Megan KeenCollege of Osteopathic Medicine, Michigan State University, USA.
Ryan FajardoLansing Radiology Associates, USA.
Christopher KuenzeDepartment of Kinesiology, University of Virginia, USA.
Matthew S HarkeyDepartment of Kinesiology, Michigan State University, USA. Electronic address: harkeym1@msu.edu.

Funding

Walk this Way: Physical Activity and Walking Biomechanics Lead to Early Knee OA Symptoms and Ultrasound-Detected Structural Pathology after ACL ReconstructionK01AR081389 · NIAMS · MICHIGAN STATE UNIVERSITY · PI Matthew Harkey · 2022 to 2026
$689k
NIAMS NIH HHS K01 AR081389
6 · The paper itself

Abstract

objectivesMonitoring body composition can help to optimize performance in female athletes. This study aimed to create a conversion equation between dual-energy X-ray absorptiometry-measured body fat percentage and ultrasound-measured subcutaneous thigh fat thickness in Division I female athletes as a more accessible, cost-effective alternative.

designCross-sectional study.

methodsWe enrolled 82 Division I female athletes. Dual-energy X-ray absorptiometry was used to assess body fat percentage. Bilateral panoramic thigh ultrasound scans at 50 % of the femur length were used to calculate subcutaneous fat thickness overlying the rectus femoris muscle. The dataset was divided into a training (70 %, n = 57) and holdout (30 %, n = 25) sample to develop and validate the conversion equation, respectively. Using the training sample, a stepwise, linear regression was used to predict dual-energy X-ray absorptiometry body fat percentage from ultrasound fat thickness, mass, and height. Beta coefficients from this model were used to create a conversion equation. After applying the conversion equation to the holdout sample, intraclass correlation coefficients (ICC

resultsWithin the training sample, dual-energy X-ray absorptiometry was significantly associated with ultrasound fat thickness, height, and mass (F = 31.9; p < 0.001; R

conclusionsUltrasound-assessed subcutaneous thigh fat thickness predicts dual-energy X-ray absorptiometry-assessed body fat percentage in Division I female athletes.

Indexed as

Adipose TissueSubcutaneous FatThighAbsorptiometry, PhotonAdolescentAthletesBody CompositionCross-Sectional StudiesFemaleHumansUltrasonographyYoung AdultBody-compositionDiagnostic imagingMuscleQuadricepsRectus femoris

Identifiers

PMID39809669
PMCPMC12058423

What OpenQuestion holds

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None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.