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Race Analysis of the World’s Best Female and Male Marathon Runners

Background: Beyond the difference in marathon performance when comparing female and male runners, we tested the hypothesis that running strategy does not different according to sex. The goal of the present study is to compare the running strategy between the best female and male marathon performance...

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Autores principales: Billat, Véronique, Vitiello, Damien, Palacin, Florent, Correa, Matthieu, Pycke, Jean Renaud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068447/
https://www.ncbi.nlm.nih.gov/pubmed/32069781
http://dx.doi.org/10.3390/ijerph17041177
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author Billat, Véronique
Vitiello, Damien
Palacin, Florent
Correa, Matthieu
Pycke, Jean Renaud
author_facet Billat, Véronique
Vitiello, Damien
Palacin, Florent
Correa, Matthieu
Pycke, Jean Renaud
author_sort Billat, Véronique
collection PubMed
description Background: Beyond the difference in marathon performance when comparing female and male runners, we tested the hypothesis that running strategy does not different according to sex. The goal of the present study is to compare the running strategy between the best female and male marathon performances achieved in the last two years. Methods: Two aspects of the races were analyzed: (i) average speed relative to runner critical speed (CS) with its coefficient of variation and (ii) asymmetry and global tendency of race speed (i.e., the race’s Kendall [Formula: see text]. Results: The females’ best marathons were run at 97.6% ± 3% of CS for the new record (Brigid Kosgei, 2019) and at 96.1% ± 4.4% for the previous record (Paula Radcliffe, 2003). The best male performances (Eliud Kipchoge, 2018 and 2019) were achieved at a lower fraction of CS (94.7% ± 1.7% and 94.1% ± 2.3% in 2018 and 2019, respectively). Eliud Kipchoge (EK) achieved a significant negative split race considering the positive Kendall’s [Formula: see text] of pacing (i.e., time over 1 km) ([Formula: see text] = 0.30; p = 0.007). Furthermore, EK ran more of the average distance below average speed (54% and 55% in 2018 and 2019, respectively), while female runners ran only at 46% below their average speed. Conclusions: The best female and male marathon performances were run differently considering speed time course (i.e., tendency and asymmetry), and fractional use of CS. In addition, this study shows a robust running strategy (or signature) used by EK in two different marathons. Improvement in marathon performance might depend on negative split and asymmetry for female runners, and on higher fractional utilization of CS for male runners.
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spelling pubmed-70684472020-03-19 Race Analysis of the World’s Best Female and Male Marathon Runners Billat, Véronique Vitiello, Damien Palacin, Florent Correa, Matthieu Pycke, Jean Renaud Int J Environ Res Public Health Brief Report Background: Beyond the difference in marathon performance when comparing female and male runners, we tested the hypothesis that running strategy does not different according to sex. The goal of the present study is to compare the running strategy between the best female and male marathon performances achieved in the last two years. Methods: Two aspects of the races were analyzed: (i) average speed relative to runner critical speed (CS) with its coefficient of variation and (ii) asymmetry and global tendency of race speed (i.e., the race’s Kendall [Formula: see text]. Results: The females’ best marathons were run at 97.6% ± 3% of CS for the new record (Brigid Kosgei, 2019) and at 96.1% ± 4.4% for the previous record (Paula Radcliffe, 2003). The best male performances (Eliud Kipchoge, 2018 and 2019) were achieved at a lower fraction of CS (94.7% ± 1.7% and 94.1% ± 2.3% in 2018 and 2019, respectively). Eliud Kipchoge (EK) achieved a significant negative split race considering the positive Kendall’s [Formula: see text] of pacing (i.e., time over 1 km) ([Formula: see text] = 0.30; p = 0.007). Furthermore, EK ran more of the average distance below average speed (54% and 55% in 2018 and 2019, respectively), while female runners ran only at 46% below their average speed. Conclusions: The best female and male marathon performances were run differently considering speed time course (i.e., tendency and asymmetry), and fractional use of CS. In addition, this study shows a robust running strategy (or signature) used by EK in two different marathons. Improvement in marathon performance might depend on negative split and asymmetry for female runners, and on higher fractional utilization of CS for male runners. MDPI 2020-02-13 2020-02 /pmc/articles/PMC7068447/ /pubmed/32069781 http://dx.doi.org/10.3390/ijerph17041177 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Brief Report
Billat, Véronique
Vitiello, Damien
Palacin, Florent
Correa, Matthieu
Pycke, Jean Renaud
Race Analysis of the World’s Best Female and Male Marathon Runners
title Race Analysis of the World’s Best Female and Male Marathon Runners
title_full Race Analysis of the World’s Best Female and Male Marathon Runners
title_fullStr Race Analysis of the World’s Best Female and Male Marathon Runners
title_full_unstemmed Race Analysis of the World’s Best Female and Male Marathon Runners
title_short Race Analysis of the World’s Best Female and Male Marathon Runners
title_sort race analysis of the world’s best female and male marathon runners
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068447/
https://www.ncbi.nlm.nih.gov/pubmed/32069781
http://dx.doi.org/10.3390/ijerph17041177
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