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Selecting Training-Load Measures to Explain Variability in Football Training Games

The purpose of this study was to investigate the structure of interrelationships among external (eT) and internal (iT) training intensity metrics and how these vary depending on game format in soccer. The variables were collected from 16 semi-professional players in seven types of small, medium, lar...

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Autores principales: Zurutuza, Unai, Castellano, Julen, Echeazarra, Ibon, Guridi, Ibai, Casamichana, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992576/
https://www.ncbi.nlm.nih.gov/pubmed/32038349
http://dx.doi.org/10.3389/fpsyg.2019.02897
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author Zurutuza, Unai
Castellano, Julen
Echeazarra, Ibon
Guridi, Ibai
Casamichana, David
author_facet Zurutuza, Unai
Castellano, Julen
Echeazarra, Ibon
Guridi, Ibai
Casamichana, David
author_sort Zurutuza, Unai
collection PubMed
description The purpose of this study was to investigate the structure of interrelationships among external (eT) and internal (iT) training intensity metrics and how these vary depending on game format in soccer. The variables were collected from 16 semi-professional players in seven types of small, medium, large-sided, and simulated games (SG). The eT variables were (per min): peak velocity (Vmax), total distance (DTmin), distance covered at velocities less than 60% (D < 60%min), between 60 and 80% (D > 60%min), and more than 80% (D > 80%min) of the maximal velocity, player load (PLmin), and distance covered accelerating at more than 2 m⋅s-2 (Daccmin) and decelerating at less than −2 m⋅s-2 (Ddecmin). The iT variables were: Edwards arbitrary units (EDWmin) and time spent at more than 80% of the maximal heart rate (T > 80% HRmin). All game formats were represented by three principal components (PC), explaining from 66.9 to 76.0% of the variance. The structure of the interrelationships among variables involved similar distributions in the PCs that are related to energetic production systems, such as the strength/neuromuscular dimension (PLmin and/or Daccmin and Ddecmin, complemented by DTmin and D < 60%min), the endurance/cardiovascular dimension (EDWmin), and the velocity/locomotion dimension (Vmax, D > 60%min, or D > 80%min). A particular combination of external and internal intensity measures is required to describe the training load of game formats.
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spelling pubmed-69925762020-02-07 Selecting Training-Load Measures to Explain Variability in Football Training Games Zurutuza, Unai Castellano, Julen Echeazarra, Ibon Guridi, Ibai Casamichana, David Front Psychol Psychology The purpose of this study was to investigate the structure of interrelationships among external (eT) and internal (iT) training intensity metrics and how these vary depending on game format in soccer. The variables were collected from 16 semi-professional players in seven types of small, medium, large-sided, and simulated games (SG). The eT variables were (per min): peak velocity (Vmax), total distance (DTmin), distance covered at velocities less than 60% (D < 60%min), between 60 and 80% (D > 60%min), and more than 80% (D > 80%min) of the maximal velocity, player load (PLmin), and distance covered accelerating at more than 2 m⋅s-2 (Daccmin) and decelerating at less than −2 m⋅s-2 (Ddecmin). The iT variables were: Edwards arbitrary units (EDWmin) and time spent at more than 80% of the maximal heart rate (T > 80% HRmin). All game formats were represented by three principal components (PC), explaining from 66.9 to 76.0% of the variance. The structure of the interrelationships among variables involved similar distributions in the PCs that are related to energetic production systems, such as the strength/neuromuscular dimension (PLmin and/or Daccmin and Ddecmin, complemented by DTmin and D < 60%min), the endurance/cardiovascular dimension (EDWmin), and the velocity/locomotion dimension (Vmax, D > 60%min, or D > 80%min). A particular combination of external and internal intensity measures is required to describe the training load of game formats. Frontiers Media S.A. 2020-01-24 /pmc/articles/PMC6992576/ /pubmed/32038349 http://dx.doi.org/10.3389/fpsyg.2019.02897 Text en Copyright © 2020 Zurutuza, Castellano, Echeazarra, Guridi and Casamichana. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Zurutuza, Unai
Castellano, Julen
Echeazarra, Ibon
Guridi, Ibai
Casamichana, David
Selecting Training-Load Measures to Explain Variability in Football Training Games
title Selecting Training-Load Measures to Explain Variability in Football Training Games
title_full Selecting Training-Load Measures to Explain Variability in Football Training Games
title_fullStr Selecting Training-Load Measures to Explain Variability in Football Training Games
title_full_unstemmed Selecting Training-Load Measures to Explain Variability in Football Training Games
title_short Selecting Training-Load Measures to Explain Variability in Football Training Games
title_sort selecting training-load measures to explain variability in football training games
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992576/
https://www.ncbi.nlm.nih.gov/pubmed/32038349
http://dx.doi.org/10.3389/fpsyg.2019.02897
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