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Pacing Strategy Affects the Sub-Elite Marathoner’s Cardiac Drift and Performance
The question of cardiac strain arises when considering the emerging class of recreational runners whose running strategy could be a non-optimal running pace. Heart rate (HR) monitoring, which reflects exercise intensity and environmental factors, is often used for running strategies in marathons. Ho...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043260/ https://www.ncbi.nlm.nih.gov/pubmed/32140116 http://dx.doi.org/10.3389/fpsyg.2019.03026 |
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author | Billat, Véronique Louise Palacin, Florent Correa, Matthieu Pycke, Jean-Renaud |
author_facet | Billat, Véronique Louise Palacin, Florent Correa, Matthieu Pycke, Jean-Renaud |
author_sort | Billat, Véronique Louise |
collection | PubMed |
description | The question of cardiac strain arises when considering the emerging class of recreational runners whose running strategy could be a non-optimal running pace. Heart rate (HR) monitoring, which reflects exercise intensity and environmental factors, is often used for running strategies in marathons. However, it is difficult to obtain appropriate feedback for only the HR value since the cardiovascular drift (CV drift) occurs during prolonged exercise. The cardiac cost (CC: HR divided by running velocity) has been shown to be a potential index for evaluation of CV drift during the marathon race. We sought to establish the relationship between recreational marathoners’ racing strategy, cardiac drift, and performance. We started with looking for a trend in the speed time series (by Kendall’s non-parametric rank correlation coefficient) in 280 (2 h30–3 h40) marathoners. We distinguished two groups, with the one gathering the large majority of runners (n = 215, 77%), who had a significant decrease in their speed during the race that appeared at the 26th km. We therefore named this group of runners the “fallers.” Furthermore, the fallers had significantly lower performance (p = 0.006) and higher cardiac drift (p < 0.0001) than the non-fallers. The asymmetry indicator of the faller group runners’ speed is negative, meaning that the average speed of this category of riders is below the median, indicating that they ran more than the half marathon distance (56%) above their average speed before they “hit the wall” at the 26th km. Furthermore, we showed that marathon performance was correlated with the amplitude of the cardiac drift (r = 0.18, p = 0.0018) but not with those of the increase in HR (r = 0.01, p = 0.80). In conclusion, for addressing the question of the cardiac drift in marathon, which is very sensitive to the running strategy, we recommend to utilize the cardiac cost, which takes into account the running speed and that could be implemented in the future, on mobile phone applications. |
format | Online Article Text |
id | pubmed-7043260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70432602020-03-05 Pacing Strategy Affects the Sub-Elite Marathoner’s Cardiac Drift and Performance Billat, Véronique Louise Palacin, Florent Correa, Matthieu Pycke, Jean-Renaud Front Psychol Psychology The question of cardiac strain arises when considering the emerging class of recreational runners whose running strategy could be a non-optimal running pace. Heart rate (HR) monitoring, which reflects exercise intensity and environmental factors, is often used for running strategies in marathons. However, it is difficult to obtain appropriate feedback for only the HR value since the cardiovascular drift (CV drift) occurs during prolonged exercise. The cardiac cost (CC: HR divided by running velocity) has been shown to be a potential index for evaluation of CV drift during the marathon race. We sought to establish the relationship between recreational marathoners’ racing strategy, cardiac drift, and performance. We started with looking for a trend in the speed time series (by Kendall’s non-parametric rank correlation coefficient) in 280 (2 h30–3 h40) marathoners. We distinguished two groups, with the one gathering the large majority of runners (n = 215, 77%), who had a significant decrease in their speed during the race that appeared at the 26th km. We therefore named this group of runners the “fallers.” Furthermore, the fallers had significantly lower performance (p = 0.006) and higher cardiac drift (p < 0.0001) than the non-fallers. The asymmetry indicator of the faller group runners’ speed is negative, meaning that the average speed of this category of riders is below the median, indicating that they ran more than the half marathon distance (56%) above their average speed before they “hit the wall” at the 26th km. Furthermore, we showed that marathon performance was correlated with the amplitude of the cardiac drift (r = 0.18, p = 0.0018) but not with those of the increase in HR (r = 0.01, p = 0.80). In conclusion, for addressing the question of the cardiac drift in marathon, which is very sensitive to the running strategy, we recommend to utilize the cardiac cost, which takes into account the running speed and that could be implemented in the future, on mobile phone applications. Frontiers Media S.A. 2020-02-19 /pmc/articles/PMC7043260/ /pubmed/32140116 http://dx.doi.org/10.3389/fpsyg.2019.03026 Text en Copyright © 2020 Billat, Palacin, Correa and Pycke. 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) 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 Billat, Véronique Louise Palacin, Florent Correa, Matthieu Pycke, Jean-Renaud Pacing Strategy Affects the Sub-Elite Marathoner’s Cardiac Drift and Performance |
title | Pacing Strategy Affects the Sub-Elite Marathoner’s Cardiac Drift and Performance |
title_full | Pacing Strategy Affects the Sub-Elite Marathoner’s Cardiac Drift and Performance |
title_fullStr | Pacing Strategy Affects the Sub-Elite Marathoner’s Cardiac Drift and Performance |
title_full_unstemmed | Pacing Strategy Affects the Sub-Elite Marathoner’s Cardiac Drift and Performance |
title_short | Pacing Strategy Affects the Sub-Elite Marathoner’s Cardiac Drift and Performance |
title_sort | pacing strategy affects the sub-elite marathoner’s cardiac drift and performance |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043260/ https://www.ncbi.nlm.nih.gov/pubmed/32140116 http://dx.doi.org/10.3389/fpsyg.2019.03026 |
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