Accuracy of body fat percentage measurements from a smartphone-based 3D application compared to a bioelectrical impedance analyser

Main Article Content

Trent Yamamoto
Eric V. Neufeld
https://orcid.org/0000-0002-7247-7671
Dylan Cho
https://orcid.org/0009-0001-0441-0563
Aleesa Mardirossian
https://orcid.org/0009-0000-9590-7876
Jacob J. Bright
https://orcid.org/0009-0005-6023-5498
Brett A. Dolezal
https://orcid.org/0000-0003-0405-608X

Abstract

Conventional methods of assessing body composition are accurate but may not be accessible beyond clinical settings. While technological advances have led to the development of more convenient alternative measures, their accuracy has yet to be determined. The present investigation assessed the accuracy of a smartphone-based 3D application’s measurements of body fat percentage in comparison to a bioelectrical impedance analyser (BIA), a well-established criterion measure. Sixty-nine apparently healthy, college-aged adults had their body fat percentage measured with BIA followed by the smartphone-based application. Spearman’s rank correlation was calculated to be 0.98 (95% CI: 0.92, 0.99), indicating a very strong correlation between the two BF percentage measures. The bias observed between the two devices was low (0.2% [95% CI: -0.1, 0.5]) with limits of agreement spanning from -2.9% (95% CI: -3.4, -2.3) to 3.2% (95% CI: 2.7, 3.8). Given the strong overall agreement between the two modalities, this smartphone-based application may have the potential to make accurate body fat measurements more accessible. Further validation is needed in more diverse populations and against other criterion measures, such as dual-energy x-ray absorptiometry (DXA).

Article Details

How to Cite
Yamamoto, T., Neufeld, E. V., Cho, D., Mardirossian, A., Bright, J. J., & Dolezal, B. A. (2025). Accuracy of body fat percentage measurements from a smartphone-based 3D application compared to a bioelectrical impedance analyser. Scientific Journal of Sport and Performance, 4(4), 612–622. https://doi.org/10.55860/MXOK4379
Section
Sport Medicine
Author Biographies

Trent Yamamoto, Boston University

Chobanian and Avedisian School of Medicine.

Dylan Cho, University of California Los Angeles

Airway & UCFit-Digital Health-Exercise Physiology Research Laboratory. David Geffen School of Medicine.

Aleesa Mardirossian, University of California Los Angeles

Airway & UCFit-Digital Health-Exercise Physiology Research Laboratory. David Geffen School of Medicine.

Jacob J. Bright, University of California Los Angeles

Airway and UC Fit Digital Health-Exercise Physiology Laboratory. David Geffen School of Medicine.

Brett A. Dolezal, University of California Los Angeles

Airway and UC Fit Digital Health-Exercise Physiology Laboratory. David Geffen School of Medicine.

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