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Related Experiment Video

Updated: Jun 1, 2025

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
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Predicting Body Fat Percentage from Anthropometric Measurements in Asian Athletes.

Liyan Huang1, Cheryl Jia Hui Teo1, Yuanyuan Luan2

  • 1Sport Science and Sport Medicine Center, Singapore Sport Institute, Sport Singapore, Singapore, Singapore.

Journal of Science in Sport and Exercise
|January 17, 2025
PubMed
Summary

This study developed a new equation to estimate body fat percentage in elite Asian athletes using skinfold measurements. This method provides a practical alternative when dual energy X-ray absorptiometry (DXA) is unavailable.

Keywords:
AnthropometryAsianBody compositionSport

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Area of Science:

  • Sports Science
  • Anthropometry
  • Body Composition Analysis

Background:

  • Dual energy X-ray absorptiometry (DXA) is a standard for measuring body fat percentage (BF%).
  • Existing BF% prediction equations are primarily based on North American and European athletes.
  • There is a need for accurate BF% estimation methods tailored to diverse athletic populations, specifically Asian athletes.

Purpose of the Study:

  • To develop and validate an equation for predicting body fat percentage (BF%) in elite Asian athletes.
  • To utilize skinfold thickness and girth measurements for BF% estimation.
  • To establish a reliable anthropometric method for BF% assessment when DXA is not accessible.

Main Methods:

  • Data collected from two independent samples of Singaporean national athletes (n=95 for development, n=21 for validation).
  • Backward stepwise regression analysis combined with Akaike Information Criteria (AIC) was used to derive the predictive equation.
  • Dual energy X-ray absorptiometry (DXA) served as the reference standard for body fat percentage measurement.

Main Results:

  • Key predictors for BF% included triceps, subscapular, front thigh, and abdominal skinfold thicknesses, waist circumference, and female sex.
  • All identified predictors showed a statistically significant positive association with BF% (P < 0.05).
  • The derived equation demonstrated efficacy in predicting BF% within the validation sample.

Conclusions:

  • The developed equation is the first to predict body fat percentage specifically for elite Asian athletes using anthropometric data.
  • This novel equation offers a practical and accessible tool for estimating BF% in Asian athletes, particularly in settings lacking DXA equipment.
  • The findings contribute to more accurate body composition assessments in non-European athletic populations.