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Defining the determinants of endurance running performance in the heat
In cool conditions, physiologic markers accurately predict endurance performance, but it is unclear whether thermal strain and perceived thermal strain modify the strength of these relationships. This study examined the relationships between traditional determinants of endurance performance and time...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605161/ https://www.ncbi.nlm.nih.gov/pubmed/28944273 http://dx.doi.org/10.1080/23328940.2017.1333189 |
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author | James, Carl A. Hayes, Mark Willmott, Ashley G. B. Gibson, Oliver R. Flouris, Andreas D. Schlader, Zachary J. Maxwell, Neil S. |
author_facet | James, Carl A. Hayes, Mark Willmott, Ashley G. B. Gibson, Oliver R. Flouris, Andreas D. Schlader, Zachary J. Maxwell, Neil S. |
author_sort | James, Carl A. |
collection | PubMed |
description | In cool conditions, physiologic markers accurately predict endurance performance, but it is unclear whether thermal strain and perceived thermal strain modify the strength of these relationships. This study examined the relationships between traditional determinants of endurance performance and time to complete a 5-km time trial in the heat. Seventeen club runners completed graded exercise tests (GXT) in hot (GXTHOT; 32°C, 60% RH, 27.2°C WBGT) and cool conditions (GXTCOOL; 13°C, 50% RH, 9.3°C WBGT) to determine maximal oxygen uptake (V̇O(2max)), running economy (RE), velocity at V̇O(2max) (vV̇O(2max)), and running speeds corresponding to the lactate threshold (LT, 2 mmol.l(−1)) and lactate turnpoint (LTP, 4 mmol.l(−1)). Simultaneous multiple linear regression was used to predict 5 km time, using these determinants, indicating neither GXTHOT (R(2) = 0.72) nor GXTCOOL (R(2) = 0.86) predicted performance in the heat as strongly has previously been reported in cool conditions. vV̇O(2max) was the strongest individual predictor of performance, both when assessed in GXT(HOT) (r = −0.83) and GXT(COOL) (r = −0.90). The GXTs revealed the following correlations for individual predictors in GXT(HOT); V̇O(2max) r = −0.7, RE r = 0.36, LT r = −0.77, LTP r = −0.78 and in GXT(COOL); V̇O(2max) r = −0.67, RE r = 0.62, LT r = −0.79, LTP r = −0.8. These data indicate (i) GXT(HOT) does not predict 5 km running performance in the heat as strongly as a GXT(COOL), (ii) as in cool conditions, vV̇O(2max) may best predict running performance in the heat. |
format | Online Article Text |
id | pubmed-5605161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-56051612017-09-22 Defining the determinants of endurance running performance in the heat James, Carl A. Hayes, Mark Willmott, Ashley G. B. Gibson, Oliver R. Flouris, Andreas D. Schlader, Zachary J. Maxwell, Neil S. Temperature (Austin) Research Paper In cool conditions, physiologic markers accurately predict endurance performance, but it is unclear whether thermal strain and perceived thermal strain modify the strength of these relationships. This study examined the relationships between traditional determinants of endurance performance and time to complete a 5-km time trial in the heat. Seventeen club runners completed graded exercise tests (GXT) in hot (GXTHOT; 32°C, 60% RH, 27.2°C WBGT) and cool conditions (GXTCOOL; 13°C, 50% RH, 9.3°C WBGT) to determine maximal oxygen uptake (V̇O(2max)), running economy (RE), velocity at V̇O(2max) (vV̇O(2max)), and running speeds corresponding to the lactate threshold (LT, 2 mmol.l(−1)) and lactate turnpoint (LTP, 4 mmol.l(−1)). Simultaneous multiple linear regression was used to predict 5 km time, using these determinants, indicating neither GXTHOT (R(2) = 0.72) nor GXTCOOL (R(2) = 0.86) predicted performance in the heat as strongly has previously been reported in cool conditions. vV̇O(2max) was the strongest individual predictor of performance, both when assessed in GXT(HOT) (r = −0.83) and GXT(COOL) (r = −0.90). The GXTs revealed the following correlations for individual predictors in GXT(HOT); V̇O(2max) r = −0.7, RE r = 0.36, LT r = −0.77, LTP r = −0.78 and in GXT(COOL); V̇O(2max) r = −0.67, RE r = 0.62, LT r = −0.79, LTP r = −0.8. These data indicate (i) GXT(HOT) does not predict 5 km running performance in the heat as strongly as a GXT(COOL), (ii) as in cool conditions, vV̇O(2max) may best predict running performance in the heat. Taylor & Francis 2017-05-25 /pmc/articles/PMC5605161/ /pubmed/28944273 http://dx.doi.org/10.1080/23328940.2017.1333189 Text en © 2017 The Author(s). Published with license by Taylor & Francis 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, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper James, Carl A. Hayes, Mark Willmott, Ashley G. B. Gibson, Oliver R. Flouris, Andreas D. Schlader, Zachary J. Maxwell, Neil S. Defining the determinants of endurance running performance in the heat |
title | Defining the determinants of endurance running performance in the heat |
title_full | Defining the determinants of endurance running performance in the heat |
title_fullStr | Defining the determinants of endurance running performance in the heat |
title_full_unstemmed | Defining the determinants of endurance running performance in the heat |
title_short | Defining the determinants of endurance running performance in the heat |
title_sort | defining the determinants of endurance running performance in the heat |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605161/ https://www.ncbi.nlm.nih.gov/pubmed/28944273 http://dx.doi.org/10.1080/23328940.2017.1333189 |
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