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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])...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Institute of Sport in Warsaw
2021
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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. |
format | Online Article Text |
id | pubmed-8805351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Institute of Sport in Warsaw |
record_format | MEDLINE/PubMed |
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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