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Quantifying training load and intensity in elite male ice hockey according to game-related contextual variables

We aimed to quantify training load (TL) and intensity during practice sessions according to game-related contextual variables (game outcome, opponent standard, game location) in an elite male ice hockey team. Practice data were collected using a wearable 200-Hz accelerometer, heart rate (HR) recordi...

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Autores principales: Rago, Vincenzo, Mohr, Magni, Vigh-Larsen, Jeppe F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Institute of Sport in Warsaw 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806747/
https://www.ncbi.nlm.nih.gov/pubmed/36636188
http://dx.doi.org/10.5114/biolsport.2023.114282
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author Rago, Vincenzo
Mohr, Magni
Vigh-Larsen, Jeppe F.
author_facet Rago, Vincenzo
Mohr, Magni
Vigh-Larsen, Jeppe F.
author_sort Rago, Vincenzo
collection PubMed
description We aimed to quantify training load (TL) and intensity during practice sessions according to game-related contextual variables (game outcome, opponent standard, game location) in an elite male ice hockey team. Practice data were collected using a wearable 200-Hz accelerometer, heart rate (HR) recording, and session-rating of perceived exertion (s-RPE) throughout 23 sessions (n = 306 files). The reference team performed a greater number of accelerations, decelerations, spent longer time > 85% maximum HR (t85%HR(max)) and reported greater s-RPE after losing a game compared to a win (r = 0.13–0.19). Moreover, a lower number of accelerations, decelerations, t85%HR(max) and s-RPE (r = 0.15–0.45) were found before playing against a top-ranked opponent. In contrast, more accelerations, decelerations, longer t85%HR(max) and greater s-RPE were observed after playing against a top-ranked team opponent (r = 0.15–0.41). The players performed more accelerations/min, spent more t85%HR(max) and reported greater s-RPE before playing an away game (r = 0.13–0.22). Weekly TL seems to slightly increase after losing a game, when preparing a game against a weaker opponent, after playing against a stronger opponent, and when preparing an away game. On the other hand, training intensity seems not to be affected by game-related contextual variables. Thus, ice hockey practitioners involved with TL monitoring should consider the interplay of the numerous variables that influence the volume of prescribed training and the actual training responses in each individual player.
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spelling pubmed-98067472023-01-11 Quantifying training load and intensity in elite male ice hockey according to game-related contextual variables Rago, Vincenzo Mohr, Magni Vigh-Larsen, Jeppe F. Biol Sport Original Paper We aimed to quantify training load (TL) and intensity during practice sessions according to game-related contextual variables (game outcome, opponent standard, game location) in an elite male ice hockey team. Practice data were collected using a wearable 200-Hz accelerometer, heart rate (HR) recording, and session-rating of perceived exertion (s-RPE) throughout 23 sessions (n = 306 files). The reference team performed a greater number of accelerations, decelerations, spent longer time > 85% maximum HR (t85%HR(max)) and reported greater s-RPE after losing a game compared to a win (r = 0.13–0.19). Moreover, a lower number of accelerations, decelerations, t85%HR(max) and s-RPE (r = 0.15–0.45) were found before playing against a top-ranked opponent. In contrast, more accelerations, decelerations, longer t85%HR(max) and greater s-RPE were observed after playing against a top-ranked team opponent (r = 0.15–0.41). The players performed more accelerations/min, spent more t85%HR(max) and reported greater s-RPE before playing an away game (r = 0.13–0.22). Weekly TL seems to slightly increase after losing a game, when preparing a game against a weaker opponent, after playing against a stronger opponent, and when preparing an away game. On the other hand, training intensity seems not to be affected by game-related contextual variables. Thus, ice hockey practitioners involved with TL monitoring should consider the interplay of the numerous variables that influence the volume of prescribed training and the actual training responses in each individual player. Institute of Sport in Warsaw 2022-05-20 2023-01 /pmc/articles/PMC9806747/ /pubmed/36636188 http://dx.doi.org/10.5114/biolsport.2023.114282 Text en Copyright © Biology of Sport 2023 https://creativecommons.org/licenses/by-sa/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Share Alike 4.0 License, allowing third parties to copy and redistribute the material in any medium or format and remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.
spellingShingle Original Paper
Rago, Vincenzo
Mohr, Magni
Vigh-Larsen, Jeppe F.
Quantifying training load and intensity in elite male ice hockey according to game-related contextual variables
title Quantifying training load and intensity in elite male ice hockey according to game-related contextual variables
title_full Quantifying training load and intensity in elite male ice hockey according to game-related contextual variables
title_fullStr Quantifying training load and intensity in elite male ice hockey according to game-related contextual variables
title_full_unstemmed Quantifying training load and intensity in elite male ice hockey according to game-related contextual variables
title_short Quantifying training load and intensity in elite male ice hockey according to game-related contextual variables
title_sort quantifying training load and intensity in elite male ice hockey according to game-related contextual variables
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806747/
https://www.ncbi.nlm.nih.gov/pubmed/36636188
http://dx.doi.org/10.5114/biolsport.2023.114282
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