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    Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10259/11904

    Título
    Optimizing Field Body Fat Percentage Assessment in Professional Soccer Players
    Autor
    Martínez Ferrán, María
    Rafei, Eleh
    Romero-Morales, Carlos
    Pérez-Ruiz, Margarita
    Lam-Meléndez, Alberto
    Munguía-Izquierdo, Diego
    Pareja-Galeano, Helios
    Publicado en
    Applied Sciences. 2022, V. 12, n. 2, art. 727
    Editorial
    MDPI
    Fecha de publicación
    2022-01
    DOI
    10.3390/app12020727
    Resumo
    Body composition is a determinant of performance in soccer. To estimate the body fat percentage (%BF), dual energy X-ray absorptiometry (DXA) is effective though this method is expensive and not readily accessible. This study examines the validity of widely used field methods based on anthropometric data and bioelectrical impedance analysis (BIA). Participants were 21 male Spanish First Division soccer players aged between 22 and 35 years. In each participant, body fat mass was determined by BIA and using 18 anthropometric equations including skinfold (SKF) measurements. DXA was used as reference. Correlation with DXA measurements was excellent for all equations and separate SKF measurements yet only moderate for BIA. However, only the equation recently developed for use in soccer players based on iliac crest and triceps SKFs showed no significant or standardized differences with DXA-derived %BF and these measurements also had the lowest bias. Our findings suggest that when DXA is not available, the best field method for %BF assessment in footballers is the equation based on iliac crest and triceps SKF. As another good option, we propose the sum of triceps, subscapular, supraspinal, and abdominal SKFs, as this combination also showed good correlation with DXA.
    Palabras clave
    Football
    Fat mass
    Bioelectrical impedance
    Dual X-ray absorptiometry
    Skinfolds
    Materia
    Futbolistas-Condición física
    Soccer players-Physical fitness
    URI
    https://hdl.handle.net/10259/11904
    Versión del editor
    https://doi.org/10.3390/app12020727
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