Universidad de Burgos RIUBU Principal Default Universidad de Burgos RIUBU Principal Default
  • español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
Universidad de Burgos RIUBU Principal Default
  • Ayuda
  • Contactez-nous
  • Faire parvenir un commentaire
  • Acceso abierto
    • Archivar en RIUBU
    • Acuerdos editoriales para la publicación en acceso abierto
    • Controla tus derechos, facilita el acceso abierto
    • Sobre el acceso abierto y la UBU
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Parcourir

    Tout RIUBUCommunautés & CollectionsPar date de publicationAuteursTitresSujetsCette collectionPar date de publicationAuteursTitresSujets

    Mon compte

    Ouvrir une sessionS'inscrire

    Statistiques

    Statistiques d'usage de visualisation

    Compartir

    Voir le document 
    •   Accueil de RIUBU
    • E-Prints
    • Untitled
    • Untitled
    • Untitled
    • Voir le document
    •   Accueil de RIUBU
    • E-Prints
    • Untitled
    • Untitled
    • Untitled
    • Voir le document

    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
    Résumé
    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
    Aparece en las colecciones
    • Untitled
    Atribución 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Atribución 4.0 Internacional
    Fichier(s) constituant ce document
    Nombre:
    Martinez-AS_2022.pdf
    Tamaño:
    277.5Ko
    Formato:
    Adobe PDF
    Thumbnail
    Voir/Ouvrir

    Métricas

    Citas

    Ver estadísticas de uso

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis
    Afficher la notice complète

    Universidad de Burgos

    Powered by MIT's. DSpace software, Version 5.10