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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doaj-ef0cf7db54a8443caa1d0f57db38cf4d2020-11-24T21:41:06ZengFrontiers Media S.A.Frontiers in Psychology1664-10782020-01-011010.3389/fpsyg.2019.02897499247Selecting Training-Load Measures to Explain Variability in Football Training GamesUnai Zurutuza0Unai Zurutuza1Julen Castellano2Ibon Echeazarra3Ibai Guridi4David Casamichana5Physical Education and Sport Department, Faculty of Education and Sport, University of the Basque Country – UPV/EHU, Vitoria-Gasteiz, SpainPhysical Performance Department, SD Beasain, Beasain, SpainPhysical Education and Sport Department, Faculty of Education and Sport, University of the Basque Country – UPV/EHU, Vitoria-Gasteiz, SpainPhysical Education and Sport Department, Faculty of Education and Sport, University of the Basque Country – UPV/EHU, Vitoria-Gasteiz, SpainPhysical Education and Sport Department, Faculty of Education and Sport, University of the Basque Country – UPV/EHU, Vitoria-Gasteiz, SpainFaculty of Physiotherapy and Speech Therapy Gimbernat-Cantabria University School Associated with the University of Cantabria, Torrelavega, SpainThe 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.https://www.frontiersin.org/article/10.3389/fpsyg.2019.02897/fullteam sporttime motionheart ratesmall-sided gameprincipal component analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Unai Zurutuza Unai Zurutuza Julen Castellano Ibon Echeazarra Ibai Guridi David Casamichana |
spellingShingle |
Unai Zurutuza Unai Zurutuza Julen Castellano Ibon Echeazarra Ibai Guridi David Casamichana Selecting Training-Load Measures to Explain Variability in Football Training Games Frontiers in Psychology team sport time motion heart rate small-sided game principal component analysis |
author_facet |
Unai Zurutuza Unai Zurutuza Julen Castellano Ibon Echeazarra Ibai Guridi David Casamichana |
author_sort |
Unai Zurutuza |
title |
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_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_sort |
selecting training-load measures to explain variability in football training games |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychology |
issn |
1664-1078 |
publishDate |
2020-01-01 |
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. |
topic |
team sport time motion heart rate small-sided game principal component analysis |
url |
https://www.frontiersin.org/article/10.3389/fpsyg.2019.02897/full |
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