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Proposal of a Global Training Load Measure Predicting Match Performance in an Elite Team Sport

Aim: The use of external and internal load is an important aspect of monitoring systems in team sport. The aim of this study was to validate a novel measure of training load by quantifying the training-performance relationship of elite Australian footballers. Methods: The primary training measure of...

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Autores principales: Lazarus, Brendan H., Stewart, Andrew M., White, Kevin M., Rowell, Amber E., Esmaeili, Alireza, Hopkins, William G., Aughey, Robert J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702311/
https://www.ncbi.nlm.nih.gov/pubmed/29209229
http://dx.doi.org/10.3389/fphys.2017.00930
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author Lazarus, Brendan H.
Stewart, Andrew M.
White, Kevin M.
Rowell, Amber E.
Esmaeili, Alireza
Hopkins, William G.
Aughey, Robert J.
author_facet Lazarus, Brendan H.
Stewart, Andrew M.
White, Kevin M.
Rowell, Amber E.
Esmaeili, Alireza
Hopkins, William G.
Aughey, Robert J.
author_sort Lazarus, Brendan H.
collection PubMed
description Aim: The use of external and internal load is an important aspect of monitoring systems in team sport. The aim of this study was to validate a novel measure of training load by quantifying the training-performance relationship of elite Australian footballers. Methods: The primary training measure of each of 36 players was weekly load derived from a weighted combination of Global Positioning System (GPS) data and perceived wellness over a 24-week season. Smoothed loads representing an exponentially weighted rolling average were derived with decay time constants of 1.5, 2, 3, and 4 weeks. Differential loads representing rate of change in load were generated in similar fashion. Other derived measures of training included monotony, strain and acute:chronic ratio. Performance was a proprietary score derived from match performance indicators. Effects of a 1 SD within-player change below and above the mean of each training measure were quantified with a quadratic mixed model for each position (defenders, forwards, midfielders, and rucks). Effects were interpreted using standardization and magnitude-based inferences. Results: Performance was generally highest near the mean or ~1 SD below the mean of each training measure, and 1 SD increases in the following measures produced small impairments: weekly load (defenders, forwards, and midfielders); 1.5-week smoothed load (midfielders); 4-week differential load (defenders, forwards, and midfielders); and acute:chronic ratio (defenders and forwards). Effects of other measures in other positions were either trivial or unclear. Conclusion: The innovative combination of load was sensitive to performance in this elite Australian football cohort. Periods of high acute load and sustained increases in load impaired match performance. Positional differences should be taken into account for individual training prescription.
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spelling pubmed-57023112017-12-05 Proposal of a Global Training Load Measure Predicting Match Performance in an Elite Team Sport Lazarus, Brendan H. Stewart, Andrew M. White, Kevin M. Rowell, Amber E. Esmaeili, Alireza Hopkins, William G. Aughey, Robert J. Front Physiol Physiology Aim: The use of external and internal load is an important aspect of monitoring systems in team sport. The aim of this study was to validate a novel measure of training load by quantifying the training-performance relationship of elite Australian footballers. Methods: The primary training measure of each of 36 players was weekly load derived from a weighted combination of Global Positioning System (GPS) data and perceived wellness over a 24-week season. Smoothed loads representing an exponentially weighted rolling average were derived with decay time constants of 1.5, 2, 3, and 4 weeks. Differential loads representing rate of change in load were generated in similar fashion. Other derived measures of training included monotony, strain and acute:chronic ratio. Performance was a proprietary score derived from match performance indicators. Effects of a 1 SD within-player change below and above the mean of each training measure were quantified with a quadratic mixed model for each position (defenders, forwards, midfielders, and rucks). Effects were interpreted using standardization and magnitude-based inferences. Results: Performance was generally highest near the mean or ~1 SD below the mean of each training measure, and 1 SD increases in the following measures produced small impairments: weekly load (defenders, forwards, and midfielders); 1.5-week smoothed load (midfielders); 4-week differential load (defenders, forwards, and midfielders); and acute:chronic ratio (defenders and forwards). Effects of other measures in other positions were either trivial or unclear. Conclusion: The innovative combination of load was sensitive to performance in this elite Australian football cohort. Periods of high acute load and sustained increases in load impaired match performance. Positional differences should be taken into account for individual training prescription. Frontiers Media S.A. 2017-11-21 /pmc/articles/PMC5702311/ /pubmed/29209229 http://dx.doi.org/10.3389/fphys.2017.00930 Text en Copyright © 2017 Lazarus, Stewart, White, Rowell, Esmaeili, Hopkins and Aughey. http://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) or licensor 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 Physiology
Lazarus, Brendan H.
Stewart, Andrew M.
White, Kevin M.
Rowell, Amber E.
Esmaeili, Alireza
Hopkins, William G.
Aughey, Robert J.
Proposal of a Global Training Load Measure Predicting Match Performance in an Elite Team Sport
title Proposal of a Global Training Load Measure Predicting Match Performance in an Elite Team Sport
title_full Proposal of a Global Training Load Measure Predicting Match Performance in an Elite Team Sport
title_fullStr Proposal of a Global Training Load Measure Predicting Match Performance in an Elite Team Sport
title_full_unstemmed Proposal of a Global Training Load Measure Predicting Match Performance in an Elite Team Sport
title_short Proposal of a Global Training Load Measure Predicting Match Performance in an Elite Team Sport
title_sort proposal of a global training load measure predicting match performance in an elite team sport
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702311/
https://www.ncbi.nlm.nih.gov/pubmed/29209229
http://dx.doi.org/10.3389/fphys.2017.00930
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