Longitudinal changes of functional capacities among adolescent female basketball players

Detalhes bibliográficos
Autor(a) principal: Carvalho, Humberto Jorge Gonçalves Moreira de
Data de Publicação: 2019
Outros Autores: Leonardi, Thiago José, Soares, André Luiz de Almeida, Gonçalves, Eduardo de Barros Gonçalves
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/221493
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 Carvalho, Humberto Jorge Gonçalves Moreira deLeonardi, Thiago JoséSoares, André Luiz de AlmeidaGonçalves, Eduardo de Barros Gonçalves2021-05-26T04:32:09Z20191664-042Xhttp://hdl.handle.net/10183/221493001097159Background: 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.application/pdfengFrontiers in Physiology. Columbus. Vol. 10, (Apr. 2019), p. [1-10]EsportesBasquetebolAtletasAdolescentesMulheresMenarcaYouth sportsMenarcheAthletesBayesian multilevel modelingAdolescenceLongitudinal changes of functional capacities among adolescent female basketball playersEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001097159.pdf.txt001097159.pdf.txtExtracted Texttext/plain59447http://www.lume.ufrgs.br/bitstream/10183/221493/2/001097159.pdf.txtcf5091c265fcc628fa5eed376ed3d59dMD52ORIGINAL001097159.pdfTexto completo (inglês)application/pdf1249207http://www.lume.ufrgs.br/bitstream/10183/221493/1/001097159.pdfc99c5155e28a2fddcc3ab1b0bc567c46MD5110183/2214932021-06-12 04:43:13.948296oai:www.lume.ufrgs.br:10183/221493Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-06-12T07:43:13Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.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 Jorge Gonçalves Moreira de
Esportes
Basquetebol
Atletas
Adolescentes
Mulheres
Menarca
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 Jorge Gonçalves Moreira de
author_facet Carvalho, Humberto Jorge Gonçalves Moreira de
Leonardi, Thiago José
Soares, André Luiz de Almeida
Gonçalves, Eduardo de Barros Gonçalves
author_role author
author2 Leonardi, Thiago José
Soares, André Luiz de Almeida
Gonçalves, Eduardo de Barros Gonçalves
author2_role author
author
author
dc.contributor.author.fl_str_mv Carvalho, Humberto Jorge Gonçalves Moreira de
Leonardi, Thiago José
Soares, André Luiz de Almeida
Gonçalves, Eduardo de Barros Gonçalves
dc.subject.por.fl_str_mv Esportes
Basquetebol
Atletas
Adolescentes
Mulheres
Menarca
topic Esportes
Basquetebol
Atletas
Adolescentes
Mulheres
Menarca
Youth sports
Menarche
Athletes
Bayesian multilevel modeling
Adolescence
dc.subject.eng.fl_str_mv 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.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2021-05-26T04:32:09Z
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dc.relation.ispartof.pt_BR.fl_str_mv Frontiers in Physiology. Columbus. Vol. 10, (Apr. 2019), p. [1-10]
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