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Quantifying Training and Game Demands of a National Basketball Association Season

Purpose: There are currently no data describing combined practice and game load demands throughout a National Basketball Association (NBA) season. The primary objective of this study was to integrate external load data garnered from all on-court activity throughout an NBA season, according to differ...

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Autores principales: Russell, Jennifer L., McLean, Blake D., Stolp, Sean, Strack, Donnie, Coutts, Aaron J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724530/
https://www.ncbi.nlm.nih.gov/pubmed/34992569
http://dx.doi.org/10.3389/fpsyg.2021.793216
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author Russell, Jennifer L.
McLean, Blake D.
Stolp, Sean
Strack, Donnie
Coutts, Aaron J.
author_facet Russell, Jennifer L.
McLean, Blake D.
Stolp, Sean
Strack, Donnie
Coutts, Aaron J.
author_sort Russell, Jennifer L.
collection PubMed
description Purpose: There are currently no data describing combined practice and game load demands throughout a National Basketball Association (NBA) season. The primary objective of this study was to integrate external load data garnered from all on-court activity throughout an NBA season, according to different activity and player characteristics. Methods: Data from 14 professional male basketball players (mean ± SD; age, 27.3 ± 4.8 years; height, 201.0 ± 7.2 cm; body mass, 104.9 ± 10.6 kg) playing for the same club during the 2017–2018 NBA season were retrospectively analyzed. Game and training data were integrated to create a consolidated external load measure, which was termed integrated load. Players were categorized by years of NBA experience (1-2y, 3-5y, 6-9y, and 10 + y), position (frontcourt and backcourt), and playing rotation status (starter, rotation, and bench). Results: Total weekly duration was significantly different (p < 0.001) between years of NBA playing experience, with duration highest in 3–5 year players, compared with 6–9 (d = 0.46) and 10+ (d = 0.78) year players. Starters experienced the highest integrated load, compared with bench (d = 0.77) players. There were no significant differences in integrated load or duration between positions. Conclusion: This is the first study to describe the seasonal training loads of NBA players for an entire season and shows that a most training load is accumulated in non-game activities. This study highlights the need for integrated and unobtrusive training load monitoring, with engagement of all stakeholders to develop well-informed individualized training prescription to optimize preparation of NBA players.
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spelling pubmed-87245302022-01-05 Quantifying Training and Game Demands of a National Basketball Association Season Russell, Jennifer L. McLean, Blake D. Stolp, Sean Strack, Donnie Coutts, Aaron J. Front Psychol Psychology Purpose: There are currently no data describing combined practice and game load demands throughout a National Basketball Association (NBA) season. The primary objective of this study was to integrate external load data garnered from all on-court activity throughout an NBA season, according to different activity and player characteristics. Methods: Data from 14 professional male basketball players (mean ± SD; age, 27.3 ± 4.8 years; height, 201.0 ± 7.2 cm; body mass, 104.9 ± 10.6 kg) playing for the same club during the 2017–2018 NBA season were retrospectively analyzed. Game and training data were integrated to create a consolidated external load measure, which was termed integrated load. Players were categorized by years of NBA experience (1-2y, 3-5y, 6-9y, and 10 + y), position (frontcourt and backcourt), and playing rotation status (starter, rotation, and bench). Results: Total weekly duration was significantly different (p < 0.001) between years of NBA playing experience, with duration highest in 3–5 year players, compared with 6–9 (d = 0.46) and 10+ (d = 0.78) year players. Starters experienced the highest integrated load, compared with bench (d = 0.77) players. There were no significant differences in integrated load or duration between positions. Conclusion: This is the first study to describe the seasonal training loads of NBA players for an entire season and shows that a most training load is accumulated in non-game activities. This study highlights the need for integrated and unobtrusive training load monitoring, with engagement of all stakeholders to develop well-informed individualized training prescription to optimize preparation of NBA players. Frontiers Media S.A. 2021-12-21 /pmc/articles/PMC8724530/ /pubmed/34992569 http://dx.doi.org/10.3389/fpsyg.2021.793216 Text en Copyright © 2021 Russell, McLean, Stolp, Strack and Coutts. https://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
Russell, Jennifer L.
McLean, Blake D.
Stolp, Sean
Strack, Donnie
Coutts, Aaron J.
Quantifying Training and Game Demands of a National Basketball Association Season
title Quantifying Training and Game Demands of a National Basketball Association Season
title_full Quantifying Training and Game Demands of a National Basketball Association Season
title_fullStr Quantifying Training and Game Demands of a National Basketball Association Season
title_full_unstemmed Quantifying Training and Game Demands of a National Basketball Association Season
title_short Quantifying Training and Game Demands of a National Basketball Association Season
title_sort quantifying training and game demands of a national basketball association season
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724530/
https://www.ncbi.nlm.nih.gov/pubmed/34992569
http://dx.doi.org/10.3389/fpsyg.2021.793216
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