Development and validation of a novel waist girth-based equation to estimate fat mass in young Colombian elite athletes (F20CA 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-...

Full description

Autores:
Bonilla Ocampo, Diego Alexander
Duque Zuluaga, Leidy Tatiana
Muñoz Urrego, Laura
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad CES
Repositorio:
Repositorio Digital - Universidad CES
Idioma:
eng
OAI Identifier:
oai:repository.ces.edu.co:10946/6533
Acceso en línea:
https://hdl.handle.net/10946/6533
Palabra clave:
Waist circumference
Body composition
DXA scan
Kinanthropometry
Regression equations
Bayesian analysis
Youth sports
Athletic performance
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
id CES2_f39dbc157c0a003e10c0dfaaa38edb14
oai_identifier_str oai:repository.ces.edu.co:10946/6533
network_acronym_str CES2
network_name_str Repositorio Digital - Universidad CES
repository_id_str
dc.title.spa.fl_str_mv Development and validation of a novel waist girth-based equation to estimate fat mass in young Colombian elite athletes (F20CA 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 (F20CA Equation): A STROSA-Based Study
spellingShingle Development and validation of a novel waist girth-based equation to estimate fat mass in young Colombian elite athletes (F20CA Equation): A STROSA-Based Study
Waist circumference
Body composition
DXA scan
Kinanthropometry
Regression equations
Bayesian analysis
Youth sports
Athletic performance
title_short Development and validation of a novel waist girth-based equation to estimate fat mass in young Colombian elite athletes (F20CA 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 (F20CA 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 (F20CA 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 (F20CA 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 (F20CA Equation): A STROSA-Based Study
dc.creator.fl_str_mv Bonilla Ocampo, Diego Alexander
Duque Zuluaga, Leidy Tatiana
Muñoz Urrego, Laura
dc.contributor.author.none.fl_str_mv Bonilla Ocampo, Diego Alexander
Duque Zuluaga, Leidy Tatiana
Muñoz Urrego, Laura
dc.contributor.role.spa.fl_str_mv Coinvestigador
dc.contributor.none.fl_str_mv Franco Hoyos, Katherine
Agudelo Martínez, Alejandra
Kammerer López, Maximiliano
Petro Soto, Jorge Luis
Kreider, Richard
dc.subject.spa.fl_str_mv Waist circumference
Body composition
DXA scan
Kinanthropometry
Regression equations
Bayesian analysis
Youth sports
Athletic performance
topic Waist circumference
Body composition
DXA scan
Kinanthropometry
Regression equations
Bayesian analysis
Youth sports
Athletic performance
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 (F20CA) 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 waistto-stature ratio were the statistically significant predictor variables that account for variability in FM. The new F20CA equation is expressed as FM (kg) = 5.46 ∗ (Sex) + 0.21 ∗ (BM/W [kg/m]) + 81.7 ∗ (W/Stature [cm/cm]) − 41.8 (R2 = 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 F20CA 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 F20CA-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 F20CA in young Colombian athletes with similar characteristics to those who participated in this study.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-10-04T21:29:33Z
dc.date.available.none.fl_str_mv 2022-10-04T21:29:33Z
dc.date.issued.none.fl_str_mv 2022-09-29
dc.type.spa.fl_str_mv Articulo de revista
Trabajo de Grado
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spelling Franco Hoyos, KatherineAgudelo Martínez, AlejandraKammerer López, MaximilianoPetro Soto, Jorge LuisKreider, RichardBonilla Ocampo, Diego Alexander3cba8f66-aa05-4b8d-bb0c-a44378f1e842Duque Zuluaga, Leidy Tatiana2b489443-e7c9-4a70-80fc-09ae659e4f16Muñoz Urrego, Laura10939c28-1810-4fad-b729-31be43e3b9dfCoinvestigador2022-10-04T21:29:33Z2022-10-04T21:29:33Z2022-09-29https://hdl.handle.net/10946/6533The 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 (F20CA) 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 waistto-stature ratio were the statistically significant predictor variables that account for variability in FM. The new F20CA equation is expressed as FM (kg) = 5.46 ∗ (Sex) + 0.21 ∗ (BM/W [kg/m]) + 81.7 ∗ (W/Stature [cm/cm]) − 41.8 (R2 = 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 F20CA 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 F20CA-estimated FM (bias [95% LoA] = 1.02 [−3.77, 5.81] kg), indicating the two methods could be considered interchangeable. 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