Correlations between biomechanical variables and sprint time of 30m

Detalhes bibliográficos
Autor(a) principal: Gil, Maria Helena
Data de Publicação: 2018
Outros Autores: Marques, Mário, Neiva, Henrique Pereira, Mendes, Pedro, Sousa, António, Alves, Ana Ruivo, Branquinho, Luís, Faíl, Luís, Pinto, Diogo, Marques, Diogo, Graça, Cláudia, Marinho, Daniel Almeida
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/20.500.12207/4980
Resumo: Sprinting contributes to successful performance in the wide range of sporting activities. It’s known that sprinting speed is defined with the frequency and the length of strides (Čoh, Tomažin & Rausavljević, 2007). According Bezodias et al. (2008) the frequency of stride (FS) was a more important contributor to the velocity increase in sprint performance, however for Mackala (2007) the length of stride (LS) was a more significant variable. The aim of this study is to determine if different types of heating can interfere with the frequency and length variability of the stride. Methods: 22 young men participated in this study (age: 19.32±1.43 years; height: 176±67cm; weight: 68.48±9.91kg). The study followed a randomized protocol and the subjects were submitted to three warm-up protocols: without warm-up, typical warm-up and warm-up with post-activation potentiation (PAP). Results: The results reveal a strong correlations between the sprint time of 30m and the frequency of stride and length of stride. Discussion: Regardless of the type of warm-up, we can observe that the frequency and length stride are relevant factors that contribute to sprint time performance. The results corroborated with other studies indicating that maximum speed results from an optimal ratio between stride frequency and stride length. Conclusion: The frequency and length of stride were shown to be two influential factors in the sprint time of 30m. We suggest that future studies include exercises on warm-up that stimulate the frequency and amplitude of stride, in order to verify which of the variables has the greatest impact on sprint performance.
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spelling Correlations between biomechanical variables and sprint time of 30mFrequency of strideLength of strideSprint timeSprinting contributes to successful performance in the wide range of sporting activities. It’s known that sprinting speed is defined with the frequency and the length of strides (Čoh, Tomažin & Rausavljević, 2007). According Bezodias et al. (2008) the frequency of stride (FS) was a more important contributor to the velocity increase in sprint performance, however for Mackala (2007) the length of stride (LS) was a more significant variable. The aim of this study is to determine if different types of heating can interfere with the frequency and length variability of the stride. Methods: 22 young men participated in this study (age: 19.32±1.43 years; height: 176±67cm; weight: 68.48±9.91kg). The study followed a randomized protocol and the subjects were submitted to three warm-up protocols: without warm-up, typical warm-up and warm-up with post-activation potentiation (PAP). Results: The results reveal a strong correlations between the sprint time of 30m and the frequency of stride and length of stride. Discussion: Regardless of the type of warm-up, we can observe that the frequency and length stride are relevant factors that contribute to sprint time performance. The results corroborated with other studies indicating that maximum speed results from an optimal ratio between stride frequency and stride length. Conclusion: The frequency and length of stride were shown to be two influential factors in the sprint time of 30m. We suggest that future studies include exercises on warm-up that stimulate the frequency and amplitude of stride, in order to verify which of the variables has the greatest impact on sprint performance.Instituto Politécnico da Guarda2019-10-28T12:44:49Z2018-04-01T00:00:00Z2018-04conference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/20.500.12207/4980engGil, Maria HelenaMarques, MárioNeiva, Henrique PereiraMendes, PedroSousa, AntónioAlves, Ana RuivoBranquinho, LuísFaíl, LuísPinto, DiogoMarques, DiogoGraça, CláudiaMarinho, Daniel Almeidainfo: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:RCAAP2024-06-20T09:39:20Zoai:repositorio.ipbeja.pt:20.500.12207/4980Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-06-20T09:39:20Repositório 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 Correlations between biomechanical variables and sprint time of 30m
title Correlations between biomechanical variables and sprint time of 30m
spellingShingle Correlations between biomechanical variables and sprint time of 30m
Gil, Maria Helena
Frequency of stride
Length of stride
Sprint time
title_short Correlations between biomechanical variables and sprint time of 30m
title_full Correlations between biomechanical variables and sprint time of 30m
title_fullStr Correlations between biomechanical variables and sprint time of 30m
title_full_unstemmed Correlations between biomechanical variables and sprint time of 30m
title_sort Correlations between biomechanical variables and sprint time of 30m
author Gil, Maria Helena
author_facet Gil, Maria Helena
Marques, Mário
Neiva, Henrique Pereira
Mendes, Pedro
Sousa, António
Alves, Ana Ruivo
Branquinho, Luís
Faíl, Luís
Pinto, Diogo
Marques, Diogo
Graça, Cláudia
Marinho, Daniel Almeida
author_role author
author2 Marques, Mário
Neiva, Henrique Pereira
Mendes, Pedro
Sousa, António
Alves, Ana Ruivo
Branquinho, Luís
Faíl, Luís
Pinto, Diogo
Marques, Diogo
Graça, Cláudia
Marinho, Daniel Almeida
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Gil, Maria Helena
Marques, Mário
Neiva, Henrique Pereira
Mendes, Pedro
Sousa, António
Alves, Ana Ruivo
Branquinho, Luís
Faíl, Luís
Pinto, Diogo
Marques, Diogo
Graça, Cláudia
Marinho, Daniel Almeida
dc.subject.por.fl_str_mv Frequency of stride
Length of stride
Sprint time
topic Frequency of stride
Length of stride
Sprint time
description Sprinting contributes to successful performance in the wide range of sporting activities. It’s known that sprinting speed is defined with the frequency and the length of strides (Čoh, Tomažin & Rausavljević, 2007). According Bezodias et al. (2008) the frequency of stride (FS) was a more important contributor to the velocity increase in sprint performance, however for Mackala (2007) the length of stride (LS) was a more significant variable. The aim of this study is to determine if different types of heating can interfere with the frequency and length variability of the stride. Methods: 22 young men participated in this study (age: 19.32±1.43 years; height: 176±67cm; weight: 68.48±9.91kg). The study followed a randomized protocol and the subjects were submitted to three warm-up protocols: without warm-up, typical warm-up and warm-up with post-activation potentiation (PAP). Results: The results reveal a strong correlations between the sprint time of 30m and the frequency of stride and length of stride. Discussion: Regardless of the type of warm-up, we can observe that the frequency and length stride are relevant factors that contribute to sprint time performance. The results corroborated with other studies indicating that maximum speed results from an optimal ratio between stride frequency and stride length. Conclusion: The frequency and length of stride were shown to be two influential factors in the sprint time of 30m. We suggest that future studies include exercises on warm-up that stimulate the frequency and amplitude of stride, in order to verify which of the variables has the greatest impact on sprint performance.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-01T00:00:00Z
2018-04
2019-10-28T12:44:49Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/20.500.12207/4980
url http://hdl.handle.net/20.500.12207/4980
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Politécnico da Guarda
publisher.none.fl_str_mv Instituto Politécnico da Guarda
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
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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