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Cut-Off Values in the Prediction of Success in Olympic Distance Triathlon
Cut-off points and performance-related tools are needed for the development of the Olympic distance triathlon. The purposes of the present study were (i) to determine cut-off values to reach the top three positions in an Olympic distance triathlon; (ii) to identify which discipline present the highe...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766989/ https://www.ncbi.nlm.nih.gov/pubmed/33352924 http://dx.doi.org/10.3390/ijerph17249491 |
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author | Gadelha, André Bonadias Sousa, Caio Victor Sales, Marcelo Magalhaes dos Santos Rosa, Thiago Flothmann, Marti Barbosa, Lucas Pinheiro da Silva Aguiar, Samuel Olher, Rafael Reis Villiger, Elias Nikolaidis, Pantelis Theodoros Rosemann, Thomas Hill, Lee Knechtle, Beat |
author_facet | Gadelha, André Bonadias Sousa, Caio Victor Sales, Marcelo Magalhaes dos Santos Rosa, Thiago Flothmann, Marti Barbosa, Lucas Pinheiro da Silva Aguiar, Samuel Olher, Rafael Reis Villiger, Elias Nikolaidis, Pantelis Theodoros Rosemann, Thomas Hill, Lee Knechtle, Beat |
author_sort | Gadelha, André Bonadias |
collection | PubMed |
description | Cut-off points and performance-related tools are needed for the development of the Olympic distance triathlon. The purposes of the present study were (i) to determine cut-off values to reach the top three positions in an Olympic distance triathlon; (ii) to identify which discipline present the highest influence on overall race performance and if it has changed over the decades. Data from 1989 to 2019 (n = 52,027) from all who have competed in an official Olympic distance triathlon events (World Triathlon Series and Olympics) were included. The cut-off value to achieve a top three position was calculated. Linear regressions were applied for performance trends overall and for the top three positions of each race. Men had cut-off values of: swimming = 19.5 min; cycling = 60.7 min; running = 34.1 min. Women’s cut-off values were: swimming = 20.7 min; cycling = 71.6 min; running = 38.1 min. The running split seemed to be the most influential in overall race time regardless of rank position or sex. In conclusion, cut-offs were established, which can increase the chances of achieving a successful rank position in an Olympic triathlon. Cycling is the discipline with the least influence on overall performance for both men and women in the Olympic distance triathlon. This influence pattern has not changed in the last three decades. |
format | Online Article Text |
id | pubmed-7766989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77669892020-12-28 Cut-Off Values in the Prediction of Success in Olympic Distance Triathlon Gadelha, André Bonadias Sousa, Caio Victor Sales, Marcelo Magalhaes dos Santos Rosa, Thiago Flothmann, Marti Barbosa, Lucas Pinheiro da Silva Aguiar, Samuel Olher, Rafael Reis Villiger, Elias Nikolaidis, Pantelis Theodoros Rosemann, Thomas Hill, Lee Knechtle, Beat Int J Environ Res Public Health Article Cut-off points and performance-related tools are needed for the development of the Olympic distance triathlon. The purposes of the present study were (i) to determine cut-off values to reach the top three positions in an Olympic distance triathlon; (ii) to identify which discipline present the highest influence on overall race performance and if it has changed over the decades. Data from 1989 to 2019 (n = 52,027) from all who have competed in an official Olympic distance triathlon events (World Triathlon Series and Olympics) were included. The cut-off value to achieve a top three position was calculated. Linear regressions were applied for performance trends overall and for the top three positions of each race. Men had cut-off values of: swimming = 19.5 min; cycling = 60.7 min; running = 34.1 min. Women’s cut-off values were: swimming = 20.7 min; cycling = 71.6 min; running = 38.1 min. The running split seemed to be the most influential in overall race time regardless of rank position or sex. In conclusion, cut-offs were established, which can increase the chances of achieving a successful rank position in an Olympic triathlon. Cycling is the discipline with the least influence on overall performance for both men and women in the Olympic distance triathlon. This influence pattern has not changed in the last three decades. MDPI 2020-12-18 2020-12 /pmc/articles/PMC7766989/ /pubmed/33352924 http://dx.doi.org/10.3390/ijerph17249491 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 | Article Gadelha, André Bonadias Sousa, Caio Victor Sales, Marcelo Magalhaes dos Santos Rosa, Thiago Flothmann, Marti Barbosa, Lucas Pinheiro da Silva Aguiar, Samuel Olher, Rafael Reis Villiger, Elias Nikolaidis, Pantelis Theodoros Rosemann, Thomas Hill, Lee Knechtle, Beat Cut-Off Values in the Prediction of Success in Olympic Distance Triathlon |
title | Cut-Off Values in the Prediction of Success in Olympic Distance Triathlon |
title_full | Cut-Off Values in the Prediction of Success in Olympic Distance Triathlon |
title_fullStr | Cut-Off Values in the Prediction of Success in Olympic Distance Triathlon |
title_full_unstemmed | Cut-Off Values in the Prediction of Success in Olympic Distance Triathlon |
title_short | Cut-Off Values in the Prediction of Success in Olympic Distance Triathlon |
title_sort | cut-off values in the prediction of success in olympic distance triathlon |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766989/ https://www.ncbi.nlm.nih.gov/pubmed/33352924 http://dx.doi.org/10.3390/ijerph17249491 |
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