Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parameters

Detalhes bibliográficos
Autor(a) principal: Bragada, José A.
Data de Publicação: 2010
Outros Autores: Santos, Paulo, Maia, José A.R., Colaço, Paulo, Lopes, Vitor P., Barbosa, Tiago M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/2802
Resumo: The purpose of the present study was to analyze longitudinal changes in 3,000 m running performance and the relationship with selected physiological parameters. Eighteen well-trained male middle-distance runners were measured six times (x3 per year) throughout two consecutive competitive seasons. The following parameters were measured on each occasion: maximal oxygen uptake (VO2max), running economy (RE), velocity at maximal oxygen uptake (vVO2max), velocity at 4mmol L-1 blood lactate concentration (V4), and performance velocity (km·h-1) in 3,000 m time trials. Values ranged from 19.59 to 20.16 km·h-1, running performance; 197 to 207 mL·kg-1·km-1. RE; 17.2 to 17.7 km·h-1, V4; 67.1 to 72.5 mL·kg-1·min-1, VO2max; and 19.8 to 20.2 km·h-1, vVO2max. A hierarchical linear model was used to quantify longitudinal relationships between running performance and selected physiological variables. Running performance decreased significantly over time, between each time point the decrease in running velocity was 0.06 km·h-1. The variables that significantly explained performance changes were V4 and vVO2max. Also, vVO2max and V4 were the measures most strongly correlated with performance and can be used to predict 3,000 m race velocity. The best prediction formula for 3,000 m running performance was: y = 0.646 + 0.626x + 0.416z (R2=0.85); where y = V3,000 m velocity (km·h-1), x = V4 (km·h-1) and z = vVO2max (km·h-1). The high predictive power of vVO2max and V4 suggest that both coaches and athletes should give attention to improving these two physiological variables, in order to improve running performance.
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spelling Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parametersTrackingRunning performanceMaximal oxygen uptakeBlood lactateRunning economyThe purpose of the present study was to analyze longitudinal changes in 3,000 m running performance and the relationship with selected physiological parameters. Eighteen well-trained male middle-distance runners were measured six times (x3 per year) throughout two consecutive competitive seasons. The following parameters were measured on each occasion: maximal oxygen uptake (VO2max), running economy (RE), velocity at maximal oxygen uptake (vVO2max), velocity at 4mmol L-1 blood lactate concentration (V4), and performance velocity (km·h-1) in 3,000 m time trials. Values ranged from 19.59 to 20.16 km·h-1, running performance; 197 to 207 mL·kg-1·km-1. RE; 17.2 to 17.7 km·h-1, V4; 67.1 to 72.5 mL·kg-1·min-1, VO2max; and 19.8 to 20.2 km·h-1, vVO2max. A hierarchical linear model was used to quantify longitudinal relationships between running performance and selected physiological variables. Running performance decreased significantly over time, between each time point the decrease in running velocity was 0.06 km·h-1. The variables that significantly explained performance changes were V4 and vVO2max. Also, vVO2max and V4 were the measures most strongly correlated with performance and can be used to predict 3,000 m race velocity. The best prediction formula for 3,000 m running performance was: y = 0.646 + 0.626x + 0.416z (R2=0.85); where y = V3,000 m velocity (km·h-1), x = V4 (km·h-1) and z = vVO2max (km·h-1). The high predictive power of vVO2max and V4 suggest that both coaches and athletes should give attention to improving these two physiological variables, in order to improve running performance.JSSMBiblioteca Digital do IPBBragada, José A.Santos, PauloMaia, José A.R.Colaço, PauloLopes, Vitor P.Barbosa, Tiago M.2010-11-15T11:32:12Z20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/2802engBragada, José A.; Santos, P.J.; Maia, J.A.R.; Colaço, P.J.; Lopes, Vítor P.; Barbosa, Tiago M. (2010). Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parameters. Journal of Sports Science & Medicine. ISSN 1303-2968. 9, p. 439-4441303-2968info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T10:07:08Zoai:bibliotecadigital.ipb.pt:10198/2802Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:55:42.646259Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parameters
title Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parameters
spellingShingle Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parameters
Bragada, José A.
Tracking
Running performance
Maximal oxygen uptake
Blood lactate
Running economy
title_short Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parameters
title_full Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parameters
title_fullStr Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parameters
title_full_unstemmed Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parameters
title_sort Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parameters
author Bragada, José A.
author_facet Bragada, José A.
Santos, Paulo
Maia, José A.R.
Colaço, Paulo
Lopes, Vitor P.
Barbosa, Tiago M.
author_role author
author2 Santos, Paulo
Maia, José A.R.
Colaço, Paulo
Lopes, Vitor P.
Barbosa, Tiago M.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Bragada, José A.
Santos, Paulo
Maia, José A.R.
Colaço, Paulo
Lopes, Vitor P.
Barbosa, Tiago M.
dc.subject.por.fl_str_mv Tracking
Running performance
Maximal oxygen uptake
Blood lactate
Running economy
topic Tracking
Running performance
Maximal oxygen uptake
Blood lactate
Running economy
description The purpose of the present study was to analyze longitudinal changes in 3,000 m running performance and the relationship with selected physiological parameters. Eighteen well-trained male middle-distance runners were measured six times (x3 per year) throughout two consecutive competitive seasons. The following parameters were measured on each occasion: maximal oxygen uptake (VO2max), running economy (RE), velocity at maximal oxygen uptake (vVO2max), velocity at 4mmol L-1 blood lactate concentration (V4), and performance velocity (km·h-1) in 3,000 m time trials. Values ranged from 19.59 to 20.16 km·h-1, running performance; 197 to 207 mL·kg-1·km-1. RE; 17.2 to 17.7 km·h-1, V4; 67.1 to 72.5 mL·kg-1·min-1, VO2max; and 19.8 to 20.2 km·h-1, vVO2max. A hierarchical linear model was used to quantify longitudinal relationships between running performance and selected physiological variables. Running performance decreased significantly over time, between each time point the decrease in running velocity was 0.06 km·h-1. The variables that significantly explained performance changes were V4 and vVO2max. Also, vVO2max and V4 were the measures most strongly correlated with performance and can be used to predict 3,000 m race velocity. The best prediction formula for 3,000 m running performance was: y = 0.646 + 0.626x + 0.416z (R2=0.85); where y = V3,000 m velocity (km·h-1), x = V4 (km·h-1) and z = vVO2max (km·h-1). The high predictive power of vVO2max and V4 suggest that both coaches and athletes should give attention to improving these two physiological variables, in order to improve running performance.
publishDate 2010
dc.date.none.fl_str_mv 2010-11-15T11:32:12Z
2010
2010-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/2802
url http://hdl.handle.net/10198/2802
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Bragada, José A.; Santos, P.J.; Maia, J.A.R.; Colaço, P.J.; Lopes, Vítor P.; Barbosa, Tiago M. (2010). Longitudinal study in 3,000 m male runners: relationship between performance and selected physiological parameters. Journal of Sports Science & Medicine. ISSN 1303-2968. 9, p. 439-444
1303-2968
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv JSSM
publisher.none.fl_str_mv JSSM
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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