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Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20(CA) Equation): A STROSA-Based Study

The estimation of body fat percentage (%BF) from anthropometry-related data requires population-specific equations to avoid incorrect interpretations in young athletes. Waist girth (WG) has been described as potential predictor of fat mass (FM) in several populations; however, there are no valid WG-...

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Autores principales: Bonilla, Diego A., Duque-Zuluaga, Leidy T., Muñoz-Urrego, Laura P., Franco-Hoyos, Katherine, Agudelo-Martínez, Alejandra, Kammerer-López, Maximiliano, Petro, Jorge L., Kreider, Richard B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572533/
https://www.ncbi.nlm.nih.gov/pubmed/36235712
http://dx.doi.org/10.3390/nu14194059
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author Bonilla, Diego A.
Duque-Zuluaga, Leidy T.
Muñoz-Urrego, Laura P.
Franco-Hoyos, Katherine
Agudelo-Martínez, Alejandra
Kammerer-López, Maximiliano
Petro, Jorge L.
Kreider, Richard B.
author_facet Bonilla, Diego A.
Duque-Zuluaga, Leidy T.
Muñoz-Urrego, Laura P.
Franco-Hoyos, Katherine
Agudelo-Martínez, Alejandra
Kammerer-López, Maximiliano
Petro, Jorge L.
Kreider, Richard B.
author_sort Bonilla, Diego A.
collection PubMed
description The estimation of body fat percentage (%BF) from anthropometry-related data requires population-specific equations to avoid incorrect interpretations in young athletes. Waist girth (WG) has been described as potential predictor of fat mass (FM) in several populations; however, there are no valid WG-based equations to estimate body composition in young Colombian athletes. The aim of this STandardisierte BerichtsROutine für Sekundärdaten Analysen STROSA-based study was twofold: i) to validate the relative fat mass (RFM) and its pediatric version (RFMp) compared to dual-energy x-ray absorptiometry (DXA) and ii) to develop a new equation (F20(CA)) to estimate the fat mass in Colombian children and adolescent elite athletes. A total of 114 young athletes that belong to the ‘Team Medellín’ program (58F, 56M; 51 children, 63 adolescents; 14.85 [2.38] years; 55.09 [12.16] kg; 162.38 [11.53] cm) participated in this cross-sectional study. The statistical analysis revealed a poor correlation, agreement and concordance of RFMp and RFM estimations with DXA measurements. After model specification using both Ordinary Least Square method and Bayesian analysis, the regression output revealed that sex, body mass-to-waist ratio, and waist-to-stature ratio were the statistically significant predictor variables that account for variability in FM. The new F20(CA) equation is expressed as FM (kg) = 5.46 ∗ (Sex) + 0.21 ∗ (BM/W [kg/m]) + 81.7 ∗ (W/Stature [cm/cm]) − 41.8 (R(2) = 0.683; SEE = 2.468 kg), where sex is 0 for males and 1 for females. A moderate-to-high correlation and agreement of the F20(CA) was confirmed within the internal validation data set (R(2) = 0.689; ICC [95%CI] = 0.805 [0.615, 0.904]; RMSE = 2.613 kg). The Bland–Altman analysis corroborated the high concordance between the reference method (DXA) and the F20(CA)-estimated FM (bias [95% LoA] = 1.02 [−3.77, 5.81] kg), indicating the two methods could be considered interchangeable. Even though external validation is needed, practitioners are advised to use the F20(CA) in young Colombian athletes with similar characteristics to those who participated in this study.
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spelling pubmed-95725332022-10-17 Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20(CA) Equation): A STROSA-Based Study Bonilla, Diego A. Duque-Zuluaga, Leidy T. Muñoz-Urrego, Laura P. Franco-Hoyos, Katherine Agudelo-Martínez, Alejandra Kammerer-López, Maximiliano Petro, Jorge L. Kreider, Richard B. Nutrients Article The estimation of body fat percentage (%BF) from anthropometry-related data requires population-specific equations to avoid incorrect interpretations in young athletes. Waist girth (WG) has been described as potential predictor of fat mass (FM) in several populations; however, there are no valid WG-based equations to estimate body composition in young Colombian athletes. The aim of this STandardisierte BerichtsROutine für Sekundärdaten Analysen STROSA-based study was twofold: i) to validate the relative fat mass (RFM) and its pediatric version (RFMp) compared to dual-energy x-ray absorptiometry (DXA) and ii) to develop a new equation (F20(CA)) to estimate the fat mass in Colombian children and adolescent elite athletes. A total of 114 young athletes that belong to the ‘Team Medellín’ program (58F, 56M; 51 children, 63 adolescents; 14.85 [2.38] years; 55.09 [12.16] kg; 162.38 [11.53] cm) participated in this cross-sectional study. The statistical analysis revealed a poor correlation, agreement and concordance of RFMp and RFM estimations with DXA measurements. After model specification using both Ordinary Least Square method and Bayesian analysis, the regression output revealed that sex, body mass-to-waist ratio, and waist-to-stature ratio were the statistically significant predictor variables that account for variability in FM. The new F20(CA) equation is expressed as FM (kg) = 5.46 ∗ (Sex) + 0.21 ∗ (BM/W [kg/m]) + 81.7 ∗ (W/Stature [cm/cm]) − 41.8 (R(2) = 0.683; SEE = 2.468 kg), where sex is 0 for males and 1 for females. A moderate-to-high correlation and agreement of the F20(CA) was confirmed within the internal validation data set (R(2) = 0.689; ICC [95%CI] = 0.805 [0.615, 0.904]; RMSE = 2.613 kg). The Bland–Altman analysis corroborated the high concordance between the reference method (DXA) and the F20(CA)-estimated FM (bias [95% LoA] = 1.02 [−3.77, 5.81] kg), indicating the two methods could be considered interchangeable. Even though external validation is needed, practitioners are advised to use the F20(CA) in young Colombian athletes with similar characteristics to those who participated in this study. MDPI 2022-09-29 /pmc/articles/PMC9572533/ /pubmed/36235712 http://dx.doi.org/10.3390/nu14194059 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bonilla, Diego A.
Duque-Zuluaga, Leidy T.
Muñoz-Urrego, Laura P.
Franco-Hoyos, Katherine
Agudelo-Martínez, Alejandra
Kammerer-López, Maximiliano
Petro, Jorge L.
Kreider, Richard B.
Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20(CA) Equation): A STROSA-Based Study
title Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20(CA) Equation): A STROSA-Based Study
title_full Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20(CA) Equation): A STROSA-Based Study
title_fullStr Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20(CA) Equation): A STROSA-Based Study
title_full_unstemmed Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20(CA) Equation): A STROSA-Based Study
title_short Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20(CA) Equation): A STROSA-Based Study
title_sort development and validation of a novel waist girth-based equation to estimate fat mass in young colombian elite athletes (f20(ca) equation): a strosa-based study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572533/
https://www.ncbi.nlm.nih.gov/pubmed/36235712
http://dx.doi.org/10.3390/nu14194059
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