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Sex differences in pacing during ‘Ultraman Hawaii’

BACKGROUND: To date, little is known for pacing in ultra-endurance athletes competing in a non-stop event and in a multi-stage event, and especially, about pacing in a multi-stage event with different disciplines during the stages. Therefore, the aim of the present study was to examine the effect of...

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Autores principales: Knechtle, Beat, Nikolaidis, Pantelis T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045888/
https://www.ncbi.nlm.nih.gov/pubmed/27703854
http://dx.doi.org/10.7717/peerj.2509
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author Knechtle, Beat
Nikolaidis, Pantelis T.
author_facet Knechtle, Beat
Nikolaidis, Pantelis T.
author_sort Knechtle, Beat
collection PubMed
description BACKGROUND: To date, little is known for pacing in ultra-endurance athletes competing in a non-stop event and in a multi-stage event, and especially, about pacing in a multi-stage event with different disciplines during the stages. Therefore, the aim of the present study was to examine the effect of age, sex and calendar year on triathlon performance and variation of performance by events (i.e., swimming, cycling 1, cycling 2 and running) in ‘Ultraman Hawaii’ held between 1983 and 2015. METHODS: Within each sex, participants were grouped in quartiles (i.e., Q1, Q2, Q3 and Q4) with Q1 being the fastest (i.e., lowest overall time) and Q4 the slowest (i.e., highest overall time). To compare performance among events (i.e., swimming, cycling 1, cycling 2 and running), race time in each event was converted in z score and this value was used for further analysis. RESULTS: A between-within subjects ANOVA showed a large sex × event (p = 0.015, η(2) = 0.014) and a medium performance group × event interaction (p = 0.001, η(2) = 0.012). No main effect of event on performance was observed (p = 0.174, η(2) = 0.007). With regard to the sex × event interaction, three female performance groups (i.e., Q2, Q3 and Q4) increased race time from swimming to cycling 1, whereas only one male performance group (Q4) revealed a similar trend. From cycling 1 to cycling 2, the two slower female groups (Q3 and Q4) and the slowest male group (Q4) increased raced time. In women, the fastest group decreased (i.e., improved) race time from swimming to cycling 1 and thereafter, maintained performance, whereas in men, the fastest group decreased race time till cycling 2 and increased it in the running. CONCLUSION: In summary, women pace differently than men during ‘Ultraman Hawaii’ where the fastest women decreased performance on day 1 and could then maintain on day 2 and 3, whereas the fastest men worsened performance on day 1 and 2 but improved on day 3.
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spelling pubmed-50458882016-10-04 Sex differences in pacing during ‘Ultraman Hawaii’ Knechtle, Beat Nikolaidis, Pantelis T. PeerJ Kinesiology BACKGROUND: To date, little is known for pacing in ultra-endurance athletes competing in a non-stop event and in a multi-stage event, and especially, about pacing in a multi-stage event with different disciplines during the stages. Therefore, the aim of the present study was to examine the effect of age, sex and calendar year on triathlon performance and variation of performance by events (i.e., swimming, cycling 1, cycling 2 and running) in ‘Ultraman Hawaii’ held between 1983 and 2015. METHODS: Within each sex, participants were grouped in quartiles (i.e., Q1, Q2, Q3 and Q4) with Q1 being the fastest (i.e., lowest overall time) and Q4 the slowest (i.e., highest overall time). To compare performance among events (i.e., swimming, cycling 1, cycling 2 and running), race time in each event was converted in z score and this value was used for further analysis. RESULTS: A between-within subjects ANOVA showed a large sex × event (p = 0.015, η(2) = 0.014) and a medium performance group × event interaction (p = 0.001, η(2) = 0.012). No main effect of event on performance was observed (p = 0.174, η(2) = 0.007). With regard to the sex × event interaction, three female performance groups (i.e., Q2, Q3 and Q4) increased race time from swimming to cycling 1, whereas only one male performance group (Q4) revealed a similar trend. From cycling 1 to cycling 2, the two slower female groups (Q3 and Q4) and the slowest male group (Q4) increased raced time. In women, the fastest group decreased (i.e., improved) race time from swimming to cycling 1 and thereafter, maintained performance, whereas in men, the fastest group decreased race time till cycling 2 and increased it in the running. CONCLUSION: In summary, women pace differently than men during ‘Ultraman Hawaii’ where the fastest women decreased performance on day 1 and could then maintain on day 2 and 3, whereas the fastest men worsened performance on day 1 and 2 but improved on day 3. PeerJ Inc. 2016-09-27 /pmc/articles/PMC5045888/ /pubmed/27703854 http://dx.doi.org/10.7717/peerj.2509 Text en ©2016 Knechtle and Nikolaidis http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Kinesiology
Knechtle, Beat
Nikolaidis, Pantelis T.
Sex differences in pacing during ‘Ultraman Hawaii’
title Sex differences in pacing during ‘Ultraman Hawaii’
title_full Sex differences in pacing during ‘Ultraman Hawaii’
title_fullStr Sex differences in pacing during ‘Ultraman Hawaii’
title_full_unstemmed Sex differences in pacing during ‘Ultraman Hawaii’
title_short Sex differences in pacing during ‘Ultraman Hawaii’
title_sort sex differences in pacing during ‘ultraman hawaii’
topic Kinesiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045888/
https://www.ncbi.nlm.nih.gov/pubmed/27703854
http://dx.doi.org/10.7717/peerj.2509
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