Longitudinal Changes of Functional Capacities Among Adolescent Female Basketball Players
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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/10316/97357 https://doi.org/10.3389/fphys.2019.00339 |
Resumo: | Background: The interpretation of young athletes’ performance during pubertal years is important to support coaches’ decisions, as performance may be erroneously interpreted due to the misalignment between chronological age (CA), biological age (BA) and sport age (SA). Aim: Using a Bayesian multilevel approach, the variation in longitudinal changes in performance was examined considering the influence of CA, BA (age at menarche), SA, body size, and exposure to training among female basketball players. Method: The study had a mixed-longitudinal design. Thirty eight female basketball players (aged 13.38 ± 1.25 years at baseline) were measured three times per season. CA, BA and SA were obtained. Anthropometric and functional measures: countermovement jump, Line drill (LD), Yo-Yo (Yo-Yo IR1). Based on the sum of the z-scores, an index of overall performance was estimated. The effects of training on longitudinal changes in performance were modeled. Results: A decrease in the rate of improvements was apparent at about 14 years of age. When aligned for BA, the slowing of the rate of improvements is apparent about 2 years after menarche for LD. For countermovement jump longitudinal changes, when performance was aligned for BA improvements became linear. For Yo-Yo IR1 and performance index, both indicators showed a linear trend of improvement when aligned for CA and BA, separately. Older players showed higher rates of improvement for Yo-Yo IR1 and performance index from pre-season to end-season. When considering performance changes aligned for BA it was apparent an improvement of performance as players became biologically mature. Conclusions and Implications: The alignment of CA with BA and SA provides important information for coaches. Human growth follows a genetically determined pattern, despite variation in both tempo and timing. When the effects of maturation reach their end, all the girls went through the same process. Hence, there is no need to artificially manipulate youth competitions in order to accelerate gains that sooner or later reach their peak and tend to flat their improvement curve. |
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Longitudinal Changes of Functional Capacities Among Adolescent Female Basketball Playersyouth sportsmenarcheathletesBayesian multilevel modelingadolescenceBackground: The interpretation of young athletes’ performance during pubertal years is important to support coaches’ decisions, as performance may be erroneously interpreted due to the misalignment between chronological age (CA), biological age (BA) and sport age (SA). Aim: Using a Bayesian multilevel approach, the variation in longitudinal changes in performance was examined considering the influence of CA, BA (age at menarche), SA, body size, and exposure to training among female basketball players. Method: The study had a mixed-longitudinal design. Thirty eight female basketball players (aged 13.38 ± 1.25 years at baseline) were measured three times per season. CA, BA and SA were obtained. Anthropometric and functional measures: countermovement jump, Line drill (LD), Yo-Yo (Yo-Yo IR1). Based on the sum of the z-scores, an index of overall performance was estimated. The effects of training on longitudinal changes in performance were modeled. Results: A decrease in the rate of improvements was apparent at about 14 years of age. When aligned for BA, the slowing of the rate of improvements is apparent about 2 years after menarche for LD. For countermovement jump longitudinal changes, when performance was aligned for BA improvements became linear. For Yo-Yo IR1 and performance index, both indicators showed a linear trend of improvement when aligned for CA and BA, separately. Older players showed higher rates of improvement for Yo-Yo IR1 and performance index from pre-season to end-season. When considering performance changes aligned for BA it was apparent an improvement of performance as players became biologically mature. Conclusions and Implications: The alignment of CA with BA and SA provides important information for coaches. Human growth follows a genetically determined pattern, despite variation in both tempo and timing. When the effects of maturation reach their end, all the girls went through the same process. Hence, there is no need to artificially manipulate youth competitions in order to accelerate gains that sooner or later reach their peak and tend to flat their improvement curve.1113-FF28-6C5F | Carlos Eduardo Barros Gonçalvesinfo:eu-repo/semantics/publishedVersion2019-04-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/97357http://hdl.handle.net/10316/97357https://doi.org/10.3389/fphys.2019.00339eng1664-042Xcv-prod-692535Carvalho, Humberto M.Leonardi, Thiago J.Soares, André L. A.Paes, Roberto R.Foster, CarlGonçalves, Carlos E.info: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:RCAAP2022-05-25T03:58:01Zoai:estudogeral.uc.pt:10316/97357Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:15:23.533278Repositório 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 Changes of Functional Capacities Among Adolescent Female Basketball Players |
title |
Longitudinal Changes of Functional Capacities Among Adolescent Female Basketball Players |
spellingShingle |
Longitudinal Changes of Functional Capacities Among Adolescent Female Basketball Players Carvalho, Humberto M. youth sports menarche athletes Bayesian multilevel modeling adolescence |
title_short |
Longitudinal Changes of Functional Capacities Among Adolescent Female Basketball Players |
title_full |
Longitudinal Changes of Functional Capacities Among Adolescent Female Basketball Players |
title_fullStr |
Longitudinal Changes of Functional Capacities Among Adolescent Female Basketball Players |
title_full_unstemmed |
Longitudinal Changes of Functional Capacities Among Adolescent Female Basketball Players |
title_sort |
Longitudinal Changes of Functional Capacities Among Adolescent Female Basketball Players |
author |
Carvalho, Humberto M. |
author_facet |
Carvalho, Humberto M. Leonardi, Thiago J. Soares, André L. A. Paes, Roberto R. Foster, Carl Gonçalves, Carlos E. |
author_role |
author |
author2 |
Leonardi, Thiago J. Soares, André L. A. Paes, Roberto R. Foster, Carl Gonçalves, Carlos E. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Carvalho, Humberto M. Leonardi, Thiago J. Soares, André L. A. Paes, Roberto R. Foster, Carl Gonçalves, Carlos E. |
dc.subject.por.fl_str_mv |
youth sports menarche athletes Bayesian multilevel modeling adolescence |
topic |
youth sports menarche athletes Bayesian multilevel modeling adolescence |
description |
Background: The interpretation of young athletes’ performance during pubertal years is important to support coaches’ decisions, as performance may be erroneously interpreted due to the misalignment between chronological age (CA), biological age (BA) and sport age (SA). Aim: Using a Bayesian multilevel approach, the variation in longitudinal changes in performance was examined considering the influence of CA, BA (age at menarche), SA, body size, and exposure to training among female basketball players. Method: The study had a mixed-longitudinal design. Thirty eight female basketball players (aged 13.38 ± 1.25 years at baseline) were measured three times per season. CA, BA and SA were obtained. Anthropometric and functional measures: countermovement jump, Line drill (LD), Yo-Yo (Yo-Yo IR1). Based on the sum of the z-scores, an index of overall performance was estimated. The effects of training on longitudinal changes in performance were modeled. Results: A decrease in the rate of improvements was apparent at about 14 years of age. When aligned for BA, the slowing of the rate of improvements is apparent about 2 years after menarche for LD. For countermovement jump longitudinal changes, when performance was aligned for BA improvements became linear. For Yo-Yo IR1 and performance index, both indicators showed a linear trend of improvement when aligned for CA and BA, separately. Older players showed higher rates of improvement for Yo-Yo IR1 and performance index from pre-season to end-season. When considering performance changes aligned for BA it was apparent an improvement of performance as players became biologically mature. Conclusions and Implications: The alignment of CA with BA and SA provides important information for coaches. Human growth follows a genetically determined pattern, despite variation in both tempo and timing. When the effects of maturation reach their end, all the girls went through the same process. Hence, there is no need to artificially manipulate youth competitions in order to accelerate gains that sooner or later reach their peak and tend to flat their improvement curve. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04-04 |
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/10316/97357 http://hdl.handle.net/10316/97357 https://doi.org/10.3389/fphys.2019.00339 |
url |
http://hdl.handle.net/10316/97357 https://doi.org/10.3389/fphys.2019.00339 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1664-042X cv-prod-692535 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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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) |
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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 |
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