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The Global Session Metric Score (GSMs): A Modified Session-Specific Exertional Index
Monitoring session training load to optimize the training stress that drives athlete adaptation and subsequent performance, is fundamental to periodization and programming. Analyzing the internal load experienced by the individual in response to the external load prescribed by coaching staff is cruc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353094/ https://www.ncbi.nlm.nih.gov/pubmed/34386767 http://dx.doi.org/10.3389/fspor.2021.692691 |
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author | Gardner, Hanna M. Scheck, Andrew W. Cone, John R. Berry, Nathaniel T. Wideman, Laurie |
author_facet | Gardner, Hanna M. Scheck, Andrew W. Cone, John R. Berry, Nathaniel T. Wideman, Laurie |
author_sort | Gardner, Hanna M. |
collection | PubMed |
description | Monitoring session training load to optimize the training stress that drives athlete adaptation and subsequent performance, is fundamental to periodization and programming. Analyzing the internal load experienced by the individual in response to the external load prescribed by coaching staff is crucial to avoid overtraining and optimize training adaptation. Subjective measures provide more information regarding individual training load, as heart rate measures alone do not account for collisions, eccentric muscle actions, muscle soreness, weather conditions, or accumulated training loads, which are paramount to the athlete experience. However, the current subjective metric for interpreting session training load (sRPE) is poorly shaped to the athlete's global response to the whole session, often showing poorer correlations to heart rate (HR) measures during intermittent or high-intensity activity. This study introduces a new metric, the Global Session Metric Score (GSMs), which creates a symmetrical relation between the verbal descriptor and numeric values, as well as more applicable session-specific verbal descriptors for the highest level of exertion. Twenty-four D1 male college soccer field players (age: 20.5 +/– 1.42) wore HR monitors and reported GSMs for all practices and games within an entire season. Linear regression with 10-fold cross validation was used to test the relation between GSMs with B-TRIMP and E-TRIMP, respectively. These models demonstrate good performance with consistency and reliability in the estimation of GSMs to predict both B-TRIMP (R(2) = 0.75–0.77) and E-TRIMP (R(2) = 0.76–0.78). The findings show promise for the GSMs index as a reliable means for measuring load in both training and matches during a high-intensity intermittent team sport. Future studies should directly compare GSMs to the existing sRPE scale within a controlled laboratory setting and across various other sports. GSMs provides coaches and clinicians a simple and cost-effective alternative to heart rate monitors, as well as a proficient measure of internal training load experienced by the individual. |
format | Online Article Text |
id | pubmed-8353094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83530942021-08-11 The Global Session Metric Score (GSMs): A Modified Session-Specific Exertional Index Gardner, Hanna M. Scheck, Andrew W. Cone, John R. Berry, Nathaniel T. Wideman, Laurie Front Sports Act Living Sports and Active Living Monitoring session training load to optimize the training stress that drives athlete adaptation and subsequent performance, is fundamental to periodization and programming. Analyzing the internal load experienced by the individual in response to the external load prescribed by coaching staff is crucial to avoid overtraining and optimize training adaptation. Subjective measures provide more information regarding individual training load, as heart rate measures alone do not account for collisions, eccentric muscle actions, muscle soreness, weather conditions, or accumulated training loads, which are paramount to the athlete experience. However, the current subjective metric for interpreting session training load (sRPE) is poorly shaped to the athlete's global response to the whole session, often showing poorer correlations to heart rate (HR) measures during intermittent or high-intensity activity. This study introduces a new metric, the Global Session Metric Score (GSMs), which creates a symmetrical relation between the verbal descriptor and numeric values, as well as more applicable session-specific verbal descriptors for the highest level of exertion. Twenty-four D1 male college soccer field players (age: 20.5 +/– 1.42) wore HR monitors and reported GSMs for all practices and games within an entire season. Linear regression with 10-fold cross validation was used to test the relation between GSMs with B-TRIMP and E-TRIMP, respectively. These models demonstrate good performance with consistency and reliability in the estimation of GSMs to predict both B-TRIMP (R(2) = 0.75–0.77) and E-TRIMP (R(2) = 0.76–0.78). The findings show promise for the GSMs index as a reliable means for measuring load in both training and matches during a high-intensity intermittent team sport. Future studies should directly compare GSMs to the existing sRPE scale within a controlled laboratory setting and across various other sports. GSMs provides coaches and clinicians a simple and cost-effective alternative to heart rate monitors, as well as a proficient measure of internal training load experienced by the individual. Frontiers Media S.A. 2021-07-27 /pmc/articles/PMC8353094/ /pubmed/34386767 http://dx.doi.org/10.3389/fspor.2021.692691 Text en Copyright © 2021 Gardner, Scheck, Cone, Berry and Wideman. 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 | Sports and Active Living Gardner, Hanna M. Scheck, Andrew W. Cone, John R. Berry, Nathaniel T. Wideman, Laurie The Global Session Metric Score (GSMs): A Modified Session-Specific Exertional Index |
title | The Global Session Metric Score (GSMs): A Modified Session-Specific Exertional Index |
title_full | The Global Session Metric Score (GSMs): A Modified Session-Specific Exertional Index |
title_fullStr | The Global Session Metric Score (GSMs): A Modified Session-Specific Exertional Index |
title_full_unstemmed | The Global Session Metric Score (GSMs): A Modified Session-Specific Exertional Index |
title_short | The Global Session Metric Score (GSMs): A Modified Session-Specific Exertional Index |
title_sort | global session metric score (gsms): a modified session-specific exertional index |
topic | Sports and Active Living |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353094/ https://www.ncbi.nlm.nih.gov/pubmed/34386767 http://dx.doi.org/10.3389/fspor.2021.692691 |
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