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Un modelo de tres compartimentos de composición corporal para validar una ecuación antropométrica para estimar la grasa en jugadores de fútbol americano

The aim of this study was to develop a new anthropometric regression equation to predict the body fat percentage (BFP) in american football players using as a reference a 3-compartment model (3CM) of body composition. Ninety football players participated (age 22.4 ± 1.7 years; height 178.9 ± 6.4 cm;...

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Bibliographic Details
Published in:Retos (Madrid) 2022-01, Vol.46, p.404
Main Authors: Jose Omar Lagunes-Carrasco, Carranza García, Luis Enrique, López-García, Ricardo, Legaz-Arrese, Alejandro, Navarro-Orocio, Ricardo, Ramírez-López, Erik
Format: Article
Language:eng ; spa
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Summary:The aim of this study was to develop a new anthropometric regression equation to predict the body fat percentage (BFP) in american football players using as a reference a 3-compartment model (3CM) of body composition. Ninety football players participated (age 22.4 ± 1.7 years; height 178.9 ± 6.4 cm; weight 91.9 ± 17.0 kg). The players were evaluated on bone mineral content, body density, skinfold thickness, and waist and hip perimeters. The Lohman equation was used to calculate body fat percentage from the 3CM. Stepwise and regression analysis was used to select and develop the final models. The best equation was: BFP = 0.265 + (0.328 × SFSUM); SFSUM: sum of the abdominal, calf, and supraspinale skinfolds (R2 = 0.83; square root of measure standard of error = 2.80; p = .000). The new equation did not present systematic or proportional error (intercept: -3.85 to -0.46; slope: 1.01 to 1.22). Bias was 0.01 and the limits of agreement were ± 5.5 of BFP between the new equation and the 3CM. We developed a new and specific anthropometric equation to estimate BFP in american football players using only 3 skinfolds and based on a better 3CM as a reference.
ISSN:1579-1726
1988-2041
DOI:10.47197/retos.v46.93737