Discriminant analysis of anthropometric and training variables among runners of different competitive levels
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10437/12173 |
Resumo: | The purpose of this study was to investigate the multivariate profile of different types of Brazilian runners and to identify the discriminant pattern of the distinct types of runners, as a runners' ability to self-classify well. The sample comprised 1235 Brazilian runners of both sexes (492 women; 743 men), with a mean age of 37.94 ± 9.46 years. Individual characteristics were obtained through an online questionnaire: Sex, age, body height (m) and body mass (kg), socioeconomic status, and training information (i.e., self-classification, practice time, practice motivation, running pace, frequency and training volume/week). Multivariate analysis of variance was conducted by sex and the discriminant analysis was used to identify which among running pace, practice time, body mass index and volume/training could differentiate groups such as "professional athletes", "amateur athletes" and "recreational athletes". For both sexes, running pace was the variable that better discriminated the groups, followed by BMI and volume/week. The practice time is not a good indicator to differentiate runner's types. In both sexes, semi-professional runners were those that better self-classify themselves, with amateur runners presenting the highest classification error. This information can be used to guide the long-term training, athlete's selection programs, and to identify the strengths and weaknesses of athletes. |
id |
RCAP_3683cc96cc30b57dd945cad224169e39 |
---|---|
oai_identifier_str |
oai:recil.ensinolusofona.pt:10437/12173 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Discriminant analysis of anthropometric and training variables among runners of different competitive levelsEDUCAÇÃO FÍSICADESPORTOCORREDORES (ATLETISMO)ESTUDOS DE CASOBRASILPHYSICAL EDUCATIONSPORTRUNNERSCASE STUDIESBRAZILThe purpose of this study was to investigate the multivariate profile of different types of Brazilian runners and to identify the discriminant pattern of the distinct types of runners, as a runners' ability to self-classify well. The sample comprised 1235 Brazilian runners of both sexes (492 women; 743 men), with a mean age of 37.94 ± 9.46 years. Individual characteristics were obtained through an online questionnaire: Sex, age, body height (m) and body mass (kg), socioeconomic status, and training information (i.e., self-classification, practice time, practice motivation, running pace, frequency and training volume/week). Multivariate analysis of variance was conducted by sex and the discriminant analysis was used to identify which among running pace, practice time, body mass index and volume/training could differentiate groups such as "professional athletes", "amateur athletes" and "recreational athletes". For both sexes, running pace was the variable that better discriminated the groups, followed by BMI and volume/week. The practice time is not a good indicator to differentiate runner's types. In both sexes, semi-professional runners were those that better self-classify themselves, with amateur runners presenting the highest classification error. This information can be used to guide the long-term training, athlete's selection programs, and to identify the strengths and weaknesses of athletes.Int J Environ Res Public Health .2021-09-29T13:23:01Z2021-01-01T00:00:00Z2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10437/12173engThuany, MablinySouza, Raphael FabricioHill, LeeMesquita, João LinoRosemann, ThomasKnechtle, BeatPereira, Sara Isabel SampaioGomes, Thayseinfo: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:RCAAP2023-03-09T14:10:16Zoai:recil.ensinolusofona.pt:10437/12173Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:17:04.670638Repositório 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 |
Discriminant analysis of anthropometric and training variables among runners of different competitive levels |
title |
Discriminant analysis of anthropometric and training variables among runners of different competitive levels |
spellingShingle |
Discriminant analysis of anthropometric and training variables among runners of different competitive levels Thuany, Mabliny EDUCAÇÃO FÍSICA DESPORTO CORREDORES (ATLETISMO) ESTUDOS DE CASO BRASIL PHYSICAL EDUCATION SPORT RUNNERS CASE STUDIES BRAZIL |
title_short |
Discriminant analysis of anthropometric and training variables among runners of different competitive levels |
title_full |
Discriminant analysis of anthropometric and training variables among runners of different competitive levels |
title_fullStr |
Discriminant analysis of anthropometric and training variables among runners of different competitive levels |
title_full_unstemmed |
Discriminant analysis of anthropometric and training variables among runners of different competitive levels |
title_sort |
Discriminant analysis of anthropometric and training variables among runners of different competitive levels |
author |
Thuany, Mabliny |
author_facet |
Thuany, Mabliny Souza, Raphael Fabricio Hill, Lee Mesquita, João Lino Rosemann, Thomas Knechtle, Beat Pereira, Sara Isabel Sampaio Gomes, Thayse |
author_role |
author |
author2 |
Souza, Raphael Fabricio Hill, Lee Mesquita, João Lino Rosemann, Thomas Knechtle, Beat Pereira, Sara Isabel Sampaio Gomes, Thayse |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Thuany, Mabliny Souza, Raphael Fabricio Hill, Lee Mesquita, João Lino Rosemann, Thomas Knechtle, Beat Pereira, Sara Isabel Sampaio Gomes, Thayse |
dc.subject.por.fl_str_mv |
EDUCAÇÃO FÍSICA DESPORTO CORREDORES (ATLETISMO) ESTUDOS DE CASO BRASIL PHYSICAL EDUCATION SPORT RUNNERS CASE STUDIES BRAZIL |
topic |
EDUCAÇÃO FÍSICA DESPORTO CORREDORES (ATLETISMO) ESTUDOS DE CASO BRASIL PHYSICAL EDUCATION SPORT RUNNERS CASE STUDIES BRAZIL |
description |
The purpose of this study was to investigate the multivariate profile of different types of Brazilian runners and to identify the discriminant pattern of the distinct types of runners, as a runners' ability to self-classify well. The sample comprised 1235 Brazilian runners of both sexes (492 women; 743 men), with a mean age of 37.94 ± 9.46 years. Individual characteristics were obtained through an online questionnaire: Sex, age, body height (m) and body mass (kg), socioeconomic status, and training information (i.e., self-classification, practice time, practice motivation, running pace, frequency and training volume/week). Multivariate analysis of variance was conducted by sex and the discriminant analysis was used to identify which among running pace, practice time, body mass index and volume/training could differentiate groups such as "professional athletes", "amateur athletes" and "recreational athletes". For both sexes, running pace was the variable that better discriminated the groups, followed by BMI and volume/week. The practice time is not a good indicator to differentiate runner's types. In both sexes, semi-professional runners were those that better self-classify themselves, with amateur runners presenting the highest classification error. This information can be used to guide the long-term training, athlete's selection programs, and to identify the strengths and weaknesses of athletes. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-29T13:23:01Z 2021-01-01T00:00:00Z 2021 |
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/10437/12173 |
url |
http://hdl.handle.net/10437/12173 |
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 |
Int J Environ Res Public Health . |
publisher.none.fl_str_mv |
Int J Environ Res Public Health . |
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 |
|
_version_ |
1799131267583705088 |