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

Bonilla Ocampo, Diego Alexander; Duque Zuluaga, Leidy Tatiana; Muñoz Urrego, Laura

dc.contributor	Franco Hoyos, Katherine
dc.contributor	Agudelo Martínez, Alejandra
dc.contributor	Kammerer López, Maximiliano
dc.contributor	Petro Soto, Jorge Luis
dc.contributor	Kreider, Richard
dc.contributor.author	Bonilla Ocampo, Diego Alexander
dc.contributor.author	Duque Zuluaga, Leidy Tatiana
dc.contributor.author	Muñoz Urrego, Laura
dc.date.accessioned	2022-10-04T21:29:33Z
dc.date.available	2022-10-04T21:29:33Z
dc.date.issued	2022-09-29
dc.identifier.uri	https://hdl.handle.net/10946/6533
dc.description.abstract	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.	spa
dc.language.iso	en	spa
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Waist circumference	spa
dc.subject	Body composition	spa
dc.subject	DXA scan	spa
dc.subject	Kinanthropometry	spa
dc.subject	Regression equations	spa
dc.subject	Bayesian analysis	spa
dc.subject	Youth sports	spa
dc.subject	Athletic performance	spa
dc.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	spa
dc.type	Articulo de revista	spa
dc.type	Trabajo de Grado	spa
dc.contributor.role	Coinvestigador	spa
dc.rights.cc	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
datacite.rights	http://purl.org/coar/access_right/c_abf2	spa