Assessment of a proposed BMI formula in predicting body fat percentage among Filipino young adults

Abstract Body mass index (BMI), while routinely used in evaluating adiposity, cannot distinguish between fat and lean mass, and thus can misclassify weight status particularly among athletic, physically active, and tall- and short-statured individuals, whose lean-to-fat ratios and body proportions v...

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Autores principales:	Michael Van Haute, Emer Rondilla, Jasmine Lorraine Vitug, Kristelle Diane Batin, Romaia Elaiza Abrugar, Francis Quitoriano, Kryzia Dela Merced, Trizha Maaño, Jojomaku Higa, Jianna Gayle Almoro, Darlene Ternida, J. T. Cabrera
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cafbbc2aa2d64601bf4c74047ddce1a2
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spelling	oai:doaj.org-article:cafbbc2aa2d64601bf4c74047ddce1a22021-12-02T11:57:56ZAssessment of a proposed BMI formula in predicting body fat percentage among Filipino young adults10.1038/s41598-020-79041-32045-2322https://doaj.org/article/cafbbc2aa2d64601bf4c74047ddce1a22020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79041-3https://doaj.org/toc/2045-2322Abstract Body mass index (BMI), while routinely used in evaluating adiposity, cannot distinguish between fat and lean mass, and thus can misclassify weight status particularly among athletic, physically active, and tall- and short-statured individuals, whose lean-to-fat ratios and body proportions vary considerably from average individuals. Believing that the traditional BMI formula divides weight by too much with short people and by too little with tall people, University of Oxford professor L. N. Trefethen proposed a modified formula in computing BMI. This study was conducted among a sample of Filipino young adults (n = 190) to assess the performance of the modified BMI formula against the traditional one in: (1) predicting body fat percentage (%BF) measured using bioelectric impedance analysis, and (2) diagnosing overweight/obesity. Using robust polynomial regression analysis (covariates: age, waist circumference, smoking history and alcohol intake), the BMI quadratic models had the highest adjusted R 2 and the lowest AIC and BIC for both sexes compared to the linear models. The AuROCs of the traditional BMI were higher than those of the proposed BMI, albeit nonsignificant. In conclusion, both traditional and modified BMIs significantly predicted %BF, as well as adequately discriminated between %BF-defined normal and overweight-obese states using optimal BMI cutoff values.Michael Van HauteEmer RondillaJasmine Lorraine VitugKristelle Diane BatinRomaia Elaiza AbrugarFrancis QuitorianoKryzia Dela MercedTrizha MaañoJojomaku HigaJianna Gayle AlmoroDarlene TernidaJ. T. CabreraNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Michael Van Haute Emer Rondilla Jasmine Lorraine Vitug Kristelle Diane Batin Romaia Elaiza Abrugar Francis Quitoriano Kryzia Dela Merced Trizha Maaño Jojomaku Higa Jianna Gayle Almoro Darlene Ternida J. T. Cabrera Assessment of a proposed BMI formula in predicting body fat percentage among Filipino young adults
description	Abstract Body mass index (BMI), while routinely used in evaluating adiposity, cannot distinguish between fat and lean mass, and thus can misclassify weight status particularly among athletic, physically active, and tall- and short-statured individuals, whose lean-to-fat ratios and body proportions vary considerably from average individuals. Believing that the traditional BMI formula divides weight by too much with short people and by too little with tall people, University of Oxford professor L. N. Trefethen proposed a modified formula in computing BMI. This study was conducted among a sample of Filipino young adults (n = 190) to assess the performance of the modified BMI formula against the traditional one in: (1) predicting body fat percentage (%BF) measured using bioelectric impedance analysis, and (2) diagnosing overweight/obesity. Using robust polynomial regression analysis (covariates: age, waist circumference, smoking history and alcohol intake), the BMI quadratic models had the highest adjusted R 2 and the lowest AIC and BIC for both sexes compared to the linear models. The AuROCs of the traditional BMI were higher than those of the proposed BMI, albeit nonsignificant. In conclusion, both traditional and modified BMIs significantly predicted %BF, as well as adequately discriminated between %BF-defined normal and overweight-obese states using optimal BMI cutoff values.
format	article
author	Michael Van Haute Emer Rondilla Jasmine Lorraine Vitug Kristelle Diane Batin Romaia Elaiza Abrugar Francis Quitoriano Kryzia Dela Merced Trizha Maaño Jojomaku Higa Jianna Gayle Almoro Darlene Ternida J. T. Cabrera
author_facet	Michael Van Haute Emer Rondilla Jasmine Lorraine Vitug Kristelle Diane Batin Romaia Elaiza Abrugar Francis Quitoriano Kryzia Dela Merced Trizha Maaño Jojomaku Higa Jianna Gayle Almoro Darlene Ternida J. T. Cabrera
author_sort	Michael Van Haute
title	Assessment of a proposed BMI formula in predicting body fat percentage among Filipino young adults
title_short	Assessment of a proposed BMI formula in predicting body fat percentage among Filipino young adults
title_full	Assessment of a proposed BMI formula in predicting body fat percentage among Filipino young adults
title_fullStr	Assessment of a proposed BMI formula in predicting body fat percentage among Filipino young adults
title_full_unstemmed	Assessment of a proposed BMI formula in predicting body fat percentage among Filipino young adults
title_sort	assessment of a proposed bmi formula in predicting body fat percentage among filipino young adults
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/cafbbc2aa2d64601bf4c74047ddce1a2
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Assessment of a proposed BMI formula in predicting body fat percentage among Filipino young adults

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