Predicting Body Fat Percentage from Anthropometric Measurements in Asian Athletes.

J Sci Sport Exerc

Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN 47403, USA.

Published: November 2024

Purpose: Researchers have predicted body fat percentage (BF%), as indicated by dual energy X-ray absorptiometry (DXA), from skinfold thicknesses in North American and European athletes, but not athletes from other regions. We sought to estimate an equation to predict BF% in elite Asian athletes from their skinfold thickness and girth measurements, with DXA as a reference method.

Methods: We collected data from two samples of athletes on Singaporean national teams. With the first sample ( = 95), we developed an equation to predict BF%, and then tested the equation in the second sample ( = 21). We used backward stepwise regression and the Akaike information criteria (AIC) to determine the final equation.

Results: Triceps, subscapular, front thigh, and (natural log of) abdominal skinfold thicknesses, waist circumference, and female sex were positively associated with BF% ( < 0.05).

Conclusion: Our equation for predicting BF% from anthropometric measurements is the first one based on Asian athletes. This equation could help practitioners estimate BF% of Asian athletes if DXA is unavailable.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11737617PMC
http://dx.doi.org/10.1007/s42978-023-00231-2DOI Listing

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