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What predicts performance in ultra-triathlon races? – a comparison between Ironman distance triathlon and ultra-triathlon

OBJECTIVE: This narrative review summarizes recent intentions to find potential predictor variables for ultra-triathlon race performance (ie, triathlon races longer than the Ironman distance covering 3.8 km swimming, 180 km cycling, and 42.195 km running). Results from studies on ultra-triathletes w...

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Autores principales: Knechtle, Beat, Zingg, Matthias Alexander, Rosemann, Thomas, Stiefel, Michael, Rüst, Christoph Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445872/
https://www.ncbi.nlm.nih.gov/pubmed/26056498
http://dx.doi.org/10.2147/OAJSM.S79273
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author Knechtle, Beat
Zingg, Matthias Alexander
Rosemann, Thomas
Stiefel, Michael
Rüst, Christoph Alexander
author_facet Knechtle, Beat
Zingg, Matthias Alexander
Rosemann, Thomas
Stiefel, Michael
Rüst, Christoph Alexander
author_sort Knechtle, Beat
collection PubMed
description OBJECTIVE: This narrative review summarizes recent intentions to find potential predictor variables for ultra-triathlon race performance (ie, triathlon races longer than the Ironman distance covering 3.8 km swimming, 180 km cycling, and 42.195 km running). Results from studies on ultra-triathletes were compared to results on studies on Ironman triathletes. METHODS: A literature search was performed in PubMed using the terms “ultra”, “triathlon”, and “performance” for the aspects of “ultra-triathlon”, and “Ironman”, “triathlon”, and “performance” for the aspects of “Ironman triathlon”. All resulting papers were searched for related citations. Results for ultra-triathlons were compared to results for Ironman-distance triathlons to find potential differences. RESULTS: Athletes competing in Ironman and ultra-triathlon differed in anthropometric and training characteristics, where both Ironmen and ultra-triathletes profited from low body fat, but ultra-triathletes relied more on training volume, whereas speed during training was related to Ironman race time. The most important predictive variables for a fast race time in an ultra-triathlon from Double Iron (ie, 7.6 km swimming, 360 km cycling, and 84.4 km running) and longer were male sex, low body fat, age of 35–40 years, extensive previous experience, a fast time in cycling and running but not in swimming, and origins in Central Europe. CONCLUSION: Any athlete intending to compete in an ultra-triathlon should be aware that low body fat and high training volumes are highly predictive for overall race time. Little is known about the physiological characteristics of these athletes and about female ultra-triathletes. Future studies need to investigate anthropometric and training characteristics of female ultra-triathletes and what motivates women to compete in these races. Future studies need to correlate physiological characteristics such as maximum oxygen uptake (VO(2max)) with ultra-triathlon race performance in order to investigate whether these characteristics are also predictive for ultra-triathlon race performance.
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spelling pubmed-44458722015-06-08 What predicts performance in ultra-triathlon races? – a comparison between Ironman distance triathlon and ultra-triathlon Knechtle, Beat Zingg, Matthias Alexander Rosemann, Thomas Stiefel, Michael Rüst, Christoph Alexander Open Access J Sports Med Review OBJECTIVE: This narrative review summarizes recent intentions to find potential predictor variables for ultra-triathlon race performance (ie, triathlon races longer than the Ironman distance covering 3.8 km swimming, 180 km cycling, and 42.195 km running). Results from studies on ultra-triathletes were compared to results on studies on Ironman triathletes. METHODS: A literature search was performed in PubMed using the terms “ultra”, “triathlon”, and “performance” for the aspects of “ultra-triathlon”, and “Ironman”, “triathlon”, and “performance” for the aspects of “Ironman triathlon”. All resulting papers were searched for related citations. Results for ultra-triathlons were compared to results for Ironman-distance triathlons to find potential differences. RESULTS: Athletes competing in Ironman and ultra-triathlon differed in anthropometric and training characteristics, where both Ironmen and ultra-triathletes profited from low body fat, but ultra-triathletes relied more on training volume, whereas speed during training was related to Ironman race time. The most important predictive variables for a fast race time in an ultra-triathlon from Double Iron (ie, 7.6 km swimming, 360 km cycling, and 84.4 km running) and longer were male sex, low body fat, age of 35–40 years, extensive previous experience, a fast time in cycling and running but not in swimming, and origins in Central Europe. CONCLUSION: Any athlete intending to compete in an ultra-triathlon should be aware that low body fat and high training volumes are highly predictive for overall race time. Little is known about the physiological characteristics of these athletes and about female ultra-triathletes. Future studies need to investigate anthropometric and training characteristics of female ultra-triathletes and what motivates women to compete in these races. Future studies need to correlate physiological characteristics such as maximum oxygen uptake (VO(2max)) with ultra-triathlon race performance in order to investigate whether these characteristics are also predictive for ultra-triathlon race performance. Dove Medical Press 2015-05-18 /pmc/articles/PMC4445872/ /pubmed/26056498 http://dx.doi.org/10.2147/OAJSM.S79273 Text en © 2015 Knechtle et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Review
Knechtle, Beat
Zingg, Matthias Alexander
Rosemann, Thomas
Stiefel, Michael
Rüst, Christoph Alexander
What predicts performance in ultra-triathlon races? – a comparison between Ironman distance triathlon and ultra-triathlon
title What predicts performance in ultra-triathlon races? – a comparison between Ironman distance triathlon and ultra-triathlon
title_full What predicts performance in ultra-triathlon races? – a comparison between Ironman distance triathlon and ultra-triathlon
title_fullStr What predicts performance in ultra-triathlon races? – a comparison between Ironman distance triathlon and ultra-triathlon
title_full_unstemmed What predicts performance in ultra-triathlon races? – a comparison between Ironman distance triathlon and ultra-triathlon
title_short What predicts performance in ultra-triathlon races? – a comparison between Ironman distance triathlon and ultra-triathlon
title_sort what predicts performance in ultra-triathlon races? – a comparison between ironman distance triathlon and ultra-triathlon
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445872/
https://www.ncbi.nlm.nih.gov/pubmed/26056498
http://dx.doi.org/10.2147/OAJSM.S79273
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