Longitudinal Changes of Functional Capacities Among Adolescent Female Basketball Players

Detalhes bibliográficos
Autor(a) principal: Carvalho, Humberto M.
Data de Publicação: 2019
Outros Autores: Leonardi, Thiago J., Soares, André L. A., Paes, Roberto R., Foster, Carl, Gonçalves, Carlos E.
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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spelling 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
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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
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cv-prod-692535
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