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Related Experiment Video

Updated: Feb 26, 2026

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
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Validity and Reliability of Assessing Body Composition Using a Mobile Application.

Elizabeth Z Macdonald1, Pat R Vehrs, Gilbert W Fellingham

  • 11Department of Exercise Sciences, Brigham Young University, Provo, UT; and 2Department of Statistics, Brigham Young University, Provo, UT.

Medicine and Science in Sports and Exercise
|July 19, 2017
PubMed
Summary
This summary is machine-generated.

The LeanScreen mobile app and manual measurements provide highly reliable body fat percentage estimates. However, they are not recommended for body composition assessment due to significant bias.

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Area of Science:

  • Health and Fitness Technology
  • Body Composition Analysis
  • Biometric Measurement Validation

Background:

  • Accurate body composition assessment is crucial for health monitoring.
  • Mobile applications offer potential for convenient body fat percentage (%BF) estimation.
  • Traditional methods require specialized equipment and trained personnel.

Purpose of the Study:

  • To validate the LeanScreen (LS) mobile application for estimating %BF.
  • To assess the reliability of LS %BF estimates derived from photograph-based circumference measurements.
  • To compare LS %BF estimates against dual-energy x-ray absorptiometry (DXA).

Main Methods:

  • 148 weight-stable adults underwent %BF estimation using DXA.
  • Two administrators assessed %BF twice using the LS app and manual circumference measurements.
  • Mixed-model ANOVA and Bland-Altman analyses compared %BF estimates.
  • Interrater and intrarater reliability were assessed.

Main Results:

  • LS app and manual measurements significantly underestimated %BF compared to DXA (P < 0.05).
  • Average %BF underestimation was -3.26% for LS and -4.82% for manual measurements.
  • Limits of agreement were large for both LS (6.99 %BF) and manual measurements (6.76 %BF).
  • High interrater and intrarater reliability coefficients (>0.99) were observed for both methods.

Conclusions:

  • Estimates of %BF from manual circumferences and the LS app demonstrated high reliability.
  • Significant bias and large limits of agreement limit the current recommendation of these field measures for body composition assessment.
  • Further research may be needed to improve the accuracy of app-based body composition tools.