Looking for Complementary Intensity Variables in Different Training Games in Football.


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:
05 Mar 2019
Historique:
entrez: 8 3 2019
pubmed: 8 3 2019
medline: 8 3 2019
Statut: aheadofprint

Résumé

Casamichana, D, Castellano, J, Díaz, AG, and Martín-García, A. Looking for complementary intensity variables in different training games in football. J Strength Cond Res XX(X): 000-000, 2018-The main aim of this study was to identify which combination of external intensity training load (iTL) metrics capture similar or unique information for different training game (TG) formats and official matches (OMs) in football using principal component (PC) analysis. Ten metrics of iTL were collected from 24 professional male football players using global positioning technology. A total of 348, 383, 120, 127, 148, and 207 individual files for small-sided possession games, medium-sided possession games, small-sided games, medium-sided games, large-sided games, and OMs, respectively, were studied. Principal component analysis was conducted on each game format. Extraction criteria were set at an eigenvalue of greater than one. Varimax rotation mode was used to extract more than one PC. Intensity training load metrics with PC "loadings" above 0.7 were deemed to possess well-defined relationships with the extracted PC. In each TG and OM, 3 PCs were identified. For the first PC, eigenvalues for each game format ranged from 3.89 to 4.45, which explained 39-44% of the information (i.e., variance) provided by the 10 iTL metrics. For the second PC, eigenvalues ranged from 2.17 to 2.47, explaining 22-26% of iTL information. For the third PC, eigenvalues ranged from 1.41 to 1.98, explaining 14-20% of iTL information. This would suggest that TG and OM have multidimensional demands; so, the use of only a single iTL could potentially lead to an underestimation of the physical demands. Consequently, a combination of 3 iTL metrics is required during professional football game formats.

Identifiants

pubmed: 30844980
doi: 10.1519/JSC.0000000000003025
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

David Casamichana (D)

European University of the Atlantic, Santander, Spain.

Julen Castellano (J)

Faculty of Education and Sport, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain.

Antonio Gómez Díaz (A)

FC Barcelona Sports Performance Department, Barcelona, Spain.
Murcia University, San Javier University of Physical Education and Sports Science, Murcia, Spain.

Andrés Martín-García (A)

FC Barcelona Sports Performance Department, Barcelona, Spain.

Classifications MeSH