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Cycling as the Best Sub-8-Hour Performance Predictor in Full Distance Triathlon
For any triathlon distance (short, Olympic, half-distance and full-distance), competitors spend more time cycling than swimming or running, but running has emerged as the discipline with the greatest influence on overall performance at the Olympic distance. However, there is a lack of evidence on wh...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359305/ https://www.ncbi.nlm.nih.gov/pubmed/30669265 http://dx.doi.org/10.3390/sports7010024 |
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author | Sousa, Caio Victor Barbosa, Lucas Pinheiro Sales, Marcelo Magalhães Santos, Patrick Anderson Tiozzo, Eduard Simões, Herbert Gustavo Nikolaidis, Pantelis Theodoros Knechtle, Beat |
author_facet | Sousa, Caio Victor Barbosa, Lucas Pinheiro Sales, Marcelo Magalhães Santos, Patrick Anderson Tiozzo, Eduard Simões, Herbert Gustavo Nikolaidis, Pantelis Theodoros Knechtle, Beat |
author_sort | Sousa, Caio Victor |
collection | PubMed |
description | For any triathlon distance (short, Olympic, half-distance and full-distance), competitors spend more time cycling than swimming or running, but running has emerged as the discipline with the greatest influence on overall performance at the Olympic distance. However, there is a lack of evidence on which discipline has the greatest influence on performance in the overall full-distance triathlon (3.8 km swimming/180 km cycling/42.195 km running), especially for the fastest performing athletes of all time. The total race times of 51 fastest triathletes (sub-8-hour) were studied, while for the split times, a sample of 44 participants was considered. The discipline that seemed to better predict total race time was cycling (coefficient = 0.828; p < 0.001), followed by running (coefficient = 0.726; p < 0.001) and swimming (coefficient = 0.476; p < 0.001). Furthermore, cycling was the discipline with the highest performance improvement over the years, whereas running had a slightly decrease. In conclusion, cycling seems to be the discipline with greater influence in final result for the full-distance triathlon. |
format | Online Article Text |
id | pubmed-6359305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63593052019-02-11 Cycling as the Best Sub-8-Hour Performance Predictor in Full Distance Triathlon Sousa, Caio Victor Barbosa, Lucas Pinheiro Sales, Marcelo Magalhães Santos, Patrick Anderson Tiozzo, Eduard Simões, Herbert Gustavo Nikolaidis, Pantelis Theodoros Knechtle, Beat Sports (Basel) Article For any triathlon distance (short, Olympic, half-distance and full-distance), competitors spend more time cycling than swimming or running, but running has emerged as the discipline with the greatest influence on overall performance at the Olympic distance. However, there is a lack of evidence on which discipline has the greatest influence on performance in the overall full-distance triathlon (3.8 km swimming/180 km cycling/42.195 km running), especially for the fastest performing athletes of all time. The total race times of 51 fastest triathletes (sub-8-hour) were studied, while for the split times, a sample of 44 participants was considered. The discipline that seemed to better predict total race time was cycling (coefficient = 0.828; p < 0.001), followed by running (coefficient = 0.726; p < 0.001) and swimming (coefficient = 0.476; p < 0.001). Furthermore, cycling was the discipline with the highest performance improvement over the years, whereas running had a slightly decrease. In conclusion, cycling seems to be the discipline with greater influence in final result for the full-distance triathlon. MDPI 2019-01-18 /pmc/articles/PMC6359305/ /pubmed/30669265 http://dx.doi.org/10.3390/sports7010024 Text en © 2019 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 | Article Sousa, Caio Victor Barbosa, Lucas Pinheiro Sales, Marcelo Magalhães Santos, Patrick Anderson Tiozzo, Eduard Simões, Herbert Gustavo Nikolaidis, Pantelis Theodoros Knechtle, Beat Cycling as the Best Sub-8-Hour Performance Predictor in Full Distance Triathlon |
title | Cycling as the Best Sub-8-Hour Performance Predictor in Full Distance Triathlon |
title_full | Cycling as the Best Sub-8-Hour Performance Predictor in Full Distance Triathlon |
title_fullStr | Cycling as the Best Sub-8-Hour Performance Predictor in Full Distance Triathlon |
title_full_unstemmed | Cycling as the Best Sub-8-Hour Performance Predictor in Full Distance Triathlon |
title_short | Cycling as the Best Sub-8-Hour Performance Predictor in Full Distance Triathlon |
title_sort | cycling as the best sub-8-hour performance predictor in full distance triathlon |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359305/ https://www.ncbi.nlm.nih.gov/pubmed/30669265 http://dx.doi.org/10.3390/sports7010024 |
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