Use of Exploratory Factor Analysis to Assess the Fitness Performance of Youth Football Players.


Journal

Journal of strength and conditioning research
ISSN: 1533-4287
Titre abrégé: J Strength Cond Res
Pays: United States
ID NLM: 9415084

Informations de publication

Date de publication:
01 Jul 2023
Historique:
medline: 26 6 2023
pubmed: 15 2 2023
entrez: 14 2 2023
Statut: ppublish

Résumé

Perroni, F, Castagna, C, Amatori, S, Gobbi, E, Vetrano, M, Visco, V, Guidetti, L, Baldari, C, Luigi Rocchi, MB, and Sisti, D. Use of exploratory factor analysis to assess the fitness performance of youth football players. J Strength Cond Res 37(7): e430-e437, 2023-Football performance involves several physical abilities that range in aerobic, anaerobic, and neuromuscular domains; however, little is known about their interplay in profiling individual physical attributes. This study aimed to profile physical performance in youth football players according to their training status. One hundred seven young male soccer players (age 13.5 ± 1.4 years; height 168 ± 7 cm; body mass 57.4 ± 9.6 kg; and body mass index 20.2 ± 2.1 kg·m -2 ) volunteered for this study. Players' physical performance was assessed with football-relevant field tests for sprinting (10 m sprint), vertical jump (countermovement jump), intermittent high-intensity endurance (Yo-Yo Intermittent Recovery Test Level 1, YYIRT1), and repeated sprint ability (RSA). The training status was assumed as testosterone and cortisol saliva concentrations; biological maturation was estimated using the Pubertal Development Scale. Exploratory factor analysis (EFA) revealed 3 main variables depicting anthropometric (D1, 24.9%), physical performance (D2, 18.8%), and training status (D3, 13.3%), accounting for 57.0% of total variance altogether. The level of significance was set at p ≤ 0.05. The RSA and YYIRT1 performances were largely associated with D2, suggesting the relevance of endurance in youth football. This study revealed that for youth football players, a 3-component model should be considered to evaluate youth soccer players. The EFA approach may help to disclose interindividual differences useful to talent identification and selection.

Identifiants

pubmed: 36786870
doi: 10.1519/JSC.0000000000004414
pii: 00124278-202307000-00031
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e430-e437

Informations de copyright

Copyright © 2023 National Strength and Conditioning Association.

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Auteurs

Fabrizio Perroni (F)

Department of Biomolecular Sciences, Section of Exercise and Health Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Museum of Football F.I.G.C., Italian Football Federation, Rome, Italy.

Carlo Castagna (C)

Fitness Training and Biomechanics Laboratory, Technical Department of the Italian Football Federation, Coverciano, Florence, Italy.
University of Rome Tor Vergata, School of Sport of Exercise and Sport Science, Rome, Italy.
Faculty of Psychology, eCampus University, Novedrate, Como, Italy.

Stefano Amatori (S)

Department of Biomolecular Sciences, Section of Exercise and Health Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Department of Biomolecular Sciences, Service of Biostatistics, University of Urbino Carlo Bo, Urbino, Italy.

Erica Gobbi (E)

Department of Biomolecular Sciences, Section of Exercise and Health Sciences, University of Urbino Carlo Bo, Urbino, Italy.

Mario Vetrano (M)

Physical Medicine and Rehabilitation Unit, Sant'Andrea Hospital, "Sapienza" University of Rome, Rome, Italy.

Vincenzo Visco (V)

Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, Faculty of Medicine and Psychology, "Sapienza" University of Rome, Rome, Italy; and.

Laura Guidetti (L)

University "Niccolò Cusano", Rome, Italy.

Carlo Baldari (C)

Faculty of Psychology, eCampus University, Novedrate, Como, Italy.

Marco Bruno Luigi Rocchi (MBL)

Department of Biomolecular Sciences, Service of Biostatistics, University of Urbino Carlo Bo, Urbino, Italy.

Davide Sisti (D)

Department of Biomolecular Sciences, Service of Biostatistics, University of Urbino Carlo Bo, Urbino, Italy.

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