Correlations between biomechanical variables and sprint time of 30m
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , , , |
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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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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 |
_version_ |
1817542892531482624 |