Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sousa, Caio Victor, Barbosa, Lucas Pinheiro, Sales, Marcelo Magalhães, Santos, Patrick Anderson, Tiozzo, Eduard, Simões, Herbert Gustavo, Nikolaidis, Pantelis Theodoros, Knechtle, Beat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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
_version_ 1783392211768967168
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
work_keys_str_mv AT sousacaiovictor cyclingasthebestsub8hourperformancepredictorinfulldistancetriathlon
AT barbosalucaspinheiro cyclingasthebestsub8hourperformancepredictorinfulldistancetriathlon
AT salesmarcelomagalhaes cyclingasthebestsub8hourperformancepredictorinfulldistancetriathlon
AT santospatrickanderson cyclingasthebestsub8hourperformancepredictorinfulldistancetriathlon
AT tiozzoeduard cyclingasthebestsub8hourperformancepredictorinfulldistancetriathlon
AT simoesherbertgustavo cyclingasthebestsub8hourperformancepredictorinfulldistancetriathlon
AT nikolaidispantelistheodoros cyclingasthebestsub8hourperformancepredictorinfulldistancetriathlon
AT knechtlebeat cyclingasthebestsub8hourperformancepredictorinfulldistancetriathlon