Comparación de parámetros antropométricos y de composición corporal de futbolistas profesionales / A Comparison of Anthropometric Parameters and the Body Composition of Professional Soccer Players

Resumen El presente estudio tuvo por objetivo comparar los parámetros antropométricos y de composición corporal en futbolistas profesionales en cinco temporadas. Se efectuó un estudio transversal (comparativo). Se estudió a 120 futbolistas, donde cada cohorte por año se evaluó a 24 futbolistas. El rango de edad fue de 18 a 37 años. Se evaluó a los futbolistas al inicio de cada temporada en los años 2012 a 2016: Se midió el peso, la estatura, seis pliegues cutáneos (Tríceps, subescapular, supra-iliaco, abdominal, muslo y pantorrilla). Se calculó el Índice de Masa corporal IMC, % de grasa, la masa grasa y masa libre de grasa MLG. El tejido adiposo se agrupó en tres grupos (brazo: (tricpes+subescapular, tronco: suprailiaco+abdominal, Piernas: muslo+pantorrilla). Hubo diferencias en el peso corporal, la estatura, la sumatoria de los 6 pliegues y la MLG a lo largo de los 5 años. [año 2012 (Peso: 76,6±7.8kg, estatura: 177.6±5.7cm, Pliegues: 58.7±12.8mm, MLG: 64.5±6.3mm), año 2013: (Peso: 77.8±6.4kg, Estatura: 178,4±4.4, Pliegues: 60.1±15.9mm, MLG:66.3±3.5mm), año 2014: (Peso: 74.9±5.7kg, Estatura: 177.0±5.8cm, Pliegues: 54.4±14.7mm, MLG: 64.5±4.5kg), año 2015: (Peso: 74.1±6.8kg, Estatura: 176.1±5.5cm, Pliegues: 54.9±15.6mm, MLG: 63.8±4.6kg), año 2016: (Peso: 72.7±kg, Estatura: 175.3±6.9kg, Pliegues: 50.8±12.mm, MLG: 62.8±5.9kg)]. Este estudio verificó que el perfil antropométrico y el tejido adiposo de los futbolistas fueron disminuyendo en cada temporada, mientras que la MLG reflejó similares valores en cada uno de las cohortes evaluadas.

Abstract The present cross-sectional (comparative) study aimed to compare the anthropometric and body composition parameters in professional soccer players over five seasons. It was conducted on 120 soccer players grouped in a cohort of 24 subjects per year. The age range was 18 to 37 years. The footballers were evaluated at the beginning of each season from 2012 to 2016; weight, height, six skin folds (triceps, subscapularis, supra-iliac, abdominal, thigh, and calf) were evaluated from 2012 to 2015. The Body Mass Index (BMI), fat percentage, fat mass, and FFM were calculated. The adipose tissue was grouped into three groups: arm (triceps + subscapular), trunk (supra iliac + abdominal), and legs (thigh + calf). Body weight, height, the sum of the 6 folds, and the MLG varied during the 5 years. For 2012 the results were the following: Weight, 76.6 ± 7.8kg; Height, 177.6 ± 5.7cm; Folds, 58.7 ± 12.8mm; MLG, 64.5 ± 6.3mm). In 2013, these were the results: Weight, 77.8 ± 6.4kg; Height, 178, 4 ± 4.4; Folds, 60.1 ± 15.9mm; MLG, 66.3 ± 3.5mm). These were the measures obtained in 2014: Weight, 74.9 ± 5.7kg; Height, 177.0 ± 5.8cm; Folds, 54.4 ± 14.7mm; MLG, 64.5 ± 4.5kg ). And these were of the year 2015: Weight, 74.1 ± 6.8kg; Height, 176.1 ± 5.5cm; Folds, 54.9 ± 15.6mm; MLG, 63.8 ± 4.6kg). Finally, in 2016 these were the measures collected: Weight, 72.7 ± kg; Height, 175.3 ± 6.9 kg; Folds, 50.8 ± 12.mm; MLG, 62.8 ± 5.9kg. This study verified that the soccer players' anthropometric profile and adipose tissue decreased each season, while the MLG reflected similar values in each of the evaluated cohorts.

Resumo O presente estudo teve como objetivo comparar os parâmetros antropométricos e de composição corporal em jogadores profissionais de futebol durante cinco temporadas. Foi realizado um estudo transversal (comparativo). Foi estudado um total de 120 jogadores de futebol, onde cada coorte por ano foram avaliados 24 jogadores. A faixa etária era de 18 a 37 anos. Os futebolistas foram avaliados no início de cada temporada, nos anos de 2012 a 2016. Foram medidas altura, peso, seis dobras da pele (tríceps, subescapular, supra ilíaca, abdominal, coxa e calcanhar). Foram calculados índice de massa corporal IMC, % de gordura, massa de gordura e massa livre de gordura MLG. O tecido adiposo foi agrupado em três grupos (braço: tríceps + subescapular, tronco: suprailíaco + abdominal, pernas: coxa + calcanhar). Houve diferenças no peso corporal, na altura, a soma de 6 dobras e a MLG ao longo dos 5 anos: ano 2012 (Peso: 76,6±7,8kg, Altura: 177,6±5,7cm, Dobras: 58,7±12,8mm, GLM: 64,5±6,3mm), ano 2013 (Peso: 77,8±6,4kg, Altura: 178,4±4,4, Dobras: 60,1±15,9mm, GLM:66,3±3.5mm), ano 2014 (Peso: 74,9±5,7kg, Altura: 177,0±5,8cm, Dobras: 54,4±14,7mm, GLM: 64,5±4,5kg), ano 2015 (Peso: 74,1±6,8kg, Altura: 176,1±5,5cm, Dobras: 54,9±15,6mm, GLM: 63,8±4,6kg), ano 2016 (Peso: 72,7±kg, Altura: 175,3±6,9kg, Dobras: 50,8±12,mm, GLM: 62,8±5,9kg). Este estudo verificou que o perfil antropométrico e o tecido adiposo dos jogadores de futebol diminuíram em cada temporada, enquanto que a MLG refletiu valores similares em cada um dos coortes avaliados.

Validez de ecuaciones y propuesta de valores referenciales para estimar la masa grasa de adultos mayores

Background: Excess fat mass (FM) has a higher risk of producing sarcopenia, physical deterioration and reduced quality of life in older people. Aim: To propose regression equations based on the Body Mass Index (BMI) to predict fat mass using double energy X-ray absorptiometry (DXA) as the gold standard. Material and Methods: Cross-sectional study in 1,188 participants (523 men and 665 women) aged 60 to 85 years. Ten percent of these (59 men and 60 women) were randomly selected to propose FM equations using DXA. The remaining 90% was used to calculate FM and develop percentiles. Results: Two equations were proposed to estimate FM [men: FM = −29,502+ (1,912 * BMI) R2 = 79%, women: FM = −9,891+ (1,323 * BMI) R2 = 80%]. Ten, 50, 85 and 95 percentiles were developed to evaluate FM. Conclusions: This study developed reliable regression equations and referential values to estimate FM in older people.

Capacidad cardiopulmonar en sujetos sanos medida por método directo y prueba de campo / Cardiopulmonary capacity in healthy subjects measured by direct method and field test

Resumen La prueba de caminata de seis minutos se ha aplicado generalmente en enfermos, y algunos estudios han propuesto modelos para predecir el consumo máximo de oxígeno. Nuestro objetivo fue elaborar una ecuación para predecir el consumo máximo de oxígeno en la prueba de caminata de seis minutos para estudiantes universitarios. Participaron 140 estudiantes. Se aplicó el test de marcha y después se realizó una prueba de ejercicio gradual para determinar el consumo máximo de oxígeno. Se elaboró una ecuación multivariada y el análisis se hizo con el programa SPSS v.22 (p < 0.05). El modelo predictivo incluyó el sexo, edad, índice de masa corporal, distancia recorrida y la frecuencia cardíaca de recuperación (r = 0.83; p < 0.001). La ecuación cumplió con los supuestos de independencia (p = 0.13), de normalidad (p = 0.49) y de homocedasticidad (p = 0.64). El diagrama de Bland-Altman indicó que no hubo diferencias significativas entre la ecuación y la medición del consumo máximo de oxígeno (p = 0.89), con un intervalo de confianza de 0.054 ml·kg·min-1 (95% IC [-0.72; 0.83]). La ecuación predice el consumo máximo de oxígeno. Se sugiere evaluar estudiantes universitarios considerando diferencias biológicas y ambientales entre países.

Abstract The six-minute walk test has been generally applied in people with pathologies and some studies have proposed models to predict maximum oxygen consumption. Our objective was to elaborate on an equation to predict the maximum oxygen consumption in the six-minute walking test for university students. A hundred and forty people participated in this study. The six-minute walking test was applied and after on a gradual exercise test was performed to determine the maximum oxygen consumption. A multivariate equation was developed and the analysis was done using the SPSS v.22 program (p < 0.05). The predictive model include gender, age, body mass index, distance performed and heart rate recovery (r = 0.83; p < 0.001). The equation fulfilled the assumptions of independence (p = 0.13), normality (p = 0.49) and homoscedasticity (p = 0.64). The Bland-Altman diagram indicated that there were no significant differences between the equation and the measurement of the maximum oxygen consumption (p = 0.89), with a confidence interval of 0.054 ml·kg·min-1 (95% CI [-0.72; 0.83]). The equation predicts the maximum oxygen consumption. It is suggested to evaluate university students considering biological and environmental differences between countries.