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-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 waist-to-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 (R2 = 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.

[Evaluation of the accuracy of different body composition prediction formulas, compared to dual energy X-ray absorptiometry, in soccer players of Colombian professional teams]. / Evaluación de la exactitud de distintas fórmulas de predicción de la composición corporal, comparadas con la absorciometría de energía dual de rayos X, en futbolistas de equipos profesionales colombianos.

INTRODUCTION: Introduction: professional soccer both in the local setting and in other countries is highly competitive, and those who practice must have specific morphological, anthropometric, and body composition characteristics, in addition to constant monitoring of nutritional and training interventions. Currently, the gold-standard criterion for the evaluation of body composition is Dual Energy X-ray Absorciometry (DXA), which is a costly laboratory method with limited use for many professionals. Knowing which field methods obtain similar results to this would allow a better interdisciplinary approach, which could have a positive impact on sports performance. The objective of this study was to evaluate the accuracy of different formulas for predicting fat percentage and fat mass, as compared to DXA, in Colombian soccer team players. Methods: a cross-sectional, analytical study using convenience sampling. A total of 79 professional male soccer players, belonging to 4 Colombian first and second division clubs, were included. Thirty anthropometric variables were measured, wherewith a descriptive analysis was performed using the SPSS v.21 program, and a procedure with analytical scope was carried out to establish concordance indices between different measurements using the Bland and Altman method. This statistical process was performed using the library (BlandAltmanLeh) of the statistical program "R". Results: average age was 23 ± 4.4 years, and the percentage of body fat was estimated using six equations: Jackson and Pollock (7.20 ± 2.58 %), Yuhasz as modified by Carter (7.52 ± 8.50 %), Reilly (10.04 ± 1.43 %), Faulkner (11.23 ± 11.90 %), Pariskova and Buskova (11.08 ± 16.06 %), and Durnin and Womersley (12.41 ± 20,10 %), in addition to the calculation of fat percentage for fat mass using the five-component method (13.17 ± 2.86 %). The percentage of body fat that showed the lowest intermethod difference was fractionation by five components (0.54 ± 3.56), followed by Durnin and Womersley (0.66 ± 3.52). Conclusion: the calculations of fat percentage using the fractionation of 5 components method and the Durnin and Womersley equation were closest to the results obtained by the gold-standard method (DXA) in soccer players of Colombian professional teams.

INTRODUCCIÓN: Introducción: el fútbol profesional, tanto a nivel nacional como internacional, es de alta competencia. Los futbolistas deben tener características antropométricas y de composición corporal específicas. El criterio de referencia para la evaluación de la composición corporal es la absorciometría de energía dual de rayos X (DXA), cuyo uso es limitado al ser un método de laboratorio y tener un elevado coste. Conocer qué métodos de campo obtienen resultados similares podría permitir mejores intervenciones nutricionales y de entrenamiento, repercutiendo positivamente en el rendimiento. El objetivo de este estudio fue evaluar la precisión de distintas fórmulas de predicción del porcentaje de grasa y masa adiposa, en comparación con la DXA, en futbolistas de equipos colombianos. Métodos: estudio analítico transversal con muestreo a conveniencia. Se evaluaron 79 futbolistas profesionales de 4 clubes colombianos. Se midieron 30 variables antropométricas y se realizó un análisis descriptivo en el SPSS v.21, así como un análisis de las correlaciones e índices de concordancia utilizando la prueba de Pearson o de Sperman y el método de Bland y Altman, respectivamente, ambos con el programa estadístico R. Resultados: se estimó el porcentaje de grasa corporal utilizando seis ecuaciones: Jackson y Pollock (7,20 ± 2,58 %), Yuhasz (7,52 ± 8,50 %), Reilly (10,04 ± 1,43 %), Faulkner (11,23 ± 11,90 %), Pariskova y Buskova (11,08 ± 16,06 %) y Durnin y Womersley (12,41 ± 20,10 %). Se calculó el porcentaje de grasa de la masa adiposa con el método de los cinco componentes (13,17 ± 2,86 %). El porcentaje de grasa corporal que presentó menor diferencia intermétodos (DIM) fue el de fraccionamiento por cinco componentes (0,54 ± 3,56), seguido del obtenido por la fórmula de Durnin y Womersley (0,66 ± 3,52). Conclusión: el cálculo del porcentaje de grasa a partir del fraccionamiento de 5 componentes y la ecuación de Durnin y Womersley fueron los más cercanos a los resultados obtenidos por el método de referencia, la DXA, en los futbolistas de equipos profesionales colombianos.

Efectos de la proteína whey, leucina y entrenamiento de fuerza en la composición corporal / Effects of whey protein, leucine and resistance training on body composition

INTRODUCCIÓN: Los deportistas y las personas activas que entrenan la fuerza para lograr un aumento de su masa muscular tienen requerimientos calóricos y proteicos aumentados, por esta razón emplean diversas estrategias como la suplementación con proteína whey aislada y aminoácidos aislados como la leucina después del entrenamiento sustentados en la premisa de que promueven el incremento en la síntesis de proteínas musculares, y por ende un aumento de la masa magra. OBJETIVO: Comparar cambios de la composición corporal aplicando el método de Absorciometría Dual de Rayos X (DEXA) en personas físicamente activas expuestas a un programa de entrenamiento de la fuerza con la suplementación de proteína whey aislada y/o leucina durante 12 semanas. METODOLOGÍA: estudio aleatorizado prospectivo longitudinal en un grupo de 10 varones físicamente activos, los cuales fueron asignados al azar en 3 grupos de suplementación con proteína whey aislada, leucina o la mezcla de ambas bajo el mismo protocolo de entrenamiento de la fuerza. Se evaluó la composición corporal en 3 momentos: semana 0, semana 6 y semana 12 de la intervención. RESULTADOS: En las condiciones evaluadas no se observaron cambios estadísticamente significativos de las variables de composición corporal y fuerza en los diferentes protocolos de suplementación: leucina, proteína whey aislada con leucina y proteína whey aislada. CONCLUSIONES: Se observaron resultados superiores de la masa magra y la fuerza en el grupo de la suplementación de proteína whey aislada con leucina con respecto a los demás grupos, cabe aclarar que por el tamaño de muestra no alcanzó a ser estadísticamente significativo.

INTRODUCTION: Athletes and active people who work hard to increase their muscle mass have increased caloric and protein requirements. For this reason, they use different strategies such as whey protein isolate supplementation and/or branched-chain amino acids after sustained training on the premise that they promote an increase in muscle protein synthesis, and therefore an increase in lean mass. OBJECTIVE: To compare body composition changes in physically active people exposed to a strength training program withwhey protein isolate and/or leucine supplementation for 12 weeks. METHODS: Longitudinal prospective randomized study in a group of 10 physically active males, which were randomly assigned to 3 supplementation groups with whey protein isolate, leucine, or a mixture of both, under the same strength training protocol. Body composition was evaluated in 3 moments: week 0, week 6 and week 12 of the intervention. RESULTS: In the evaluated conditions, no statistically significant changes were observed in the variables of body composition and strength based on the different supplementation protocols: Leucine, protein with leucine and protein. CONCLUSIONS: Compared with the other groups, higher results were observed in lean mass and strength in group using the whey protein isolate supplementation with leucine. It should be noted that due to the size of the sample, the difference was not statistically significant.