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-...
- 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/
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CES2_f39dbc157c0a003e10c0dfaaa38edb14 |
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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 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/masterThesis |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10946/6533 |
url |
https://hdl.handle.net/10946/6533 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.rights.cc.*.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
institution |
Universidad CES |
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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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