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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...

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Autores principales: James, Carl A., Hayes, Mark, Willmott, Ashley G. B., Gibson, Oliver R., Flouris, Andreas D., Schlader, Zachary J., Maxwell, Neil S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2017
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.
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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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