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Are acute player workloads associated with in-game performance in basketball?

To investigate associations between acute workload and in-game performance in basketball. Eight semi-professional, male basketball players were monitored during all training sessions (N = 28) and games (N = 18) across the season. External workload was determined using absolute (arbitrary units[AU])...

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Detalles Bibliográficos
Autores principales: Fox, Jordan L., Stanton, Robert, O’Grady, Cody J., Teramoto, Masaru, Sargent, Charli, Scanlan, Aaron T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Institute of Sport in Warsaw 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805351/
https://www.ncbi.nlm.nih.gov/pubmed/35173368
http://dx.doi.org/10.5114/biolsport.2021.102805
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author Fox, Jordan L.
Stanton, Robert
O’Grady, Cody J.
Teramoto, Masaru
Sargent, Charli
Scanlan, Aaron T.
author_facet Fox, Jordan L.
Stanton, Robert
O’Grady, Cody J.
Teramoto, Masaru
Sargent, Charli
Scanlan, Aaron T.
author_sort Fox, Jordan L.
collection PubMed
description To investigate associations between acute workload and in-game performance in basketball. Eight semi-professional, male basketball players were monitored during all training sessions (N = 28) and games (N = 18) across the season. External workload was determined using absolute (arbitrary units[AU]) and relative (AU·min(-1)) PlayerLoad(TM) (PL), and absolute (count) and relative (count·min(-1)) low-intensity, medium-intensity, high-intensity, and total Inertial Movement Analysis (IMA) events (accelerations, decelerations, changes-of-direction, and jumps). Internal workload was determined using absolute and relative Summated-Heart-Rate-Zones workload, session-rating of perceived exertion, rating of perceived exertion, and time (min) spent working > 90% of maximal heart rate. In-game performance was indicated by the player efficiency statistic. Repeated measures correlations were used to determine associations between acute workload variables (across the previous 7 days) and player efficiency. Relative PL (r = 0.13, small) and high-intensity IMA events (r = 0.13, small) possessed the strongest associations with player efficiency of the investigated workload variables (P > 0.05). All other associations were trivial in magnitude (P > 0.05). Given the trivial-small associations between all external and internal workload variables and player efficiency, basketball practitioners should not rely solely on monitoring acute workloads to determine performance potential in players.
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spelling pubmed-88053512022-02-15 Are acute player workloads associated with in-game performance in basketball? Fox, Jordan L. Stanton, Robert O’Grady, Cody J. Teramoto, Masaru Sargent, Charli Scanlan, Aaron T. Biol Sport Original Paper To investigate associations between acute workload and in-game performance in basketball. Eight semi-professional, male basketball players were monitored during all training sessions (N = 28) and games (N = 18) across the season. External workload was determined using absolute (arbitrary units[AU]) and relative (AU·min(-1)) PlayerLoad(TM) (PL), and absolute (count) and relative (count·min(-1)) low-intensity, medium-intensity, high-intensity, and total Inertial Movement Analysis (IMA) events (accelerations, decelerations, changes-of-direction, and jumps). Internal workload was determined using absolute and relative Summated-Heart-Rate-Zones workload, session-rating of perceived exertion, rating of perceived exertion, and time (min) spent working > 90% of maximal heart rate. In-game performance was indicated by the player efficiency statistic. Repeated measures correlations were used to determine associations between acute workload variables (across the previous 7 days) and player efficiency. Relative PL (r = 0.13, small) and high-intensity IMA events (r = 0.13, small) possessed the strongest associations with player efficiency of the investigated workload variables (P > 0.05). All other associations were trivial in magnitude (P > 0.05). Given the trivial-small associations between all external and internal workload variables and player efficiency, basketball practitioners should not rely solely on monitoring acute workloads to determine performance potential in players. Institute of Sport in Warsaw 2021-03-06 2022-01 /pmc/articles/PMC8805351/ /pubmed/35173368 http://dx.doi.org/10.5114/biolsport.2021.102805 Text en Copyright © Biology of Sport 2021 https://creativecommons.org/licenses/by-nc-nd/3.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Fox, Jordan L.
Stanton, Robert
O’Grady, Cody J.
Teramoto, Masaru
Sargent, Charli
Scanlan, Aaron T.
Are acute player workloads associated with in-game performance in basketball?
title Are acute player workloads associated with in-game performance in basketball?
title_full Are acute player workloads associated with in-game performance in basketball?
title_fullStr Are acute player workloads associated with in-game performance in basketball?
title_full_unstemmed Are acute player workloads associated with in-game performance in basketball?
title_short Are acute player workloads associated with in-game performance in basketball?
title_sort are acute player workloads associated with in-game performance in basketball?
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805351/
https://www.ncbi.nlm.nih.gov/pubmed/35173368
http://dx.doi.org/10.5114/biolsport.2021.102805
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