DETECTING SPORTING TALENTS WITH Z-STRATEGY - CROSS SECTIONAL STUDY

Detalhes bibliográficos
Autor(a) principal: Souza-Lima,Josivaldo de
Data de Publicação: 2020
Outros Autores: Zamora,Jaime Leppe, Yáñez-Sepúlveda,Rodrigo, Matsudo,Victor Keihan Rodrigues, Mahecha-Matsudo,Sandra
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de medicina do esporte (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922020000200147
Resumo: ABSTRACT Introduction: Due to the relationship between early identification of physical and anthropometric characteristics above the population mean in children and adolescents, and success in sports, detecting potential sports talents should be broadly and systematically used as a strategy for the early identification of physical characteristics favorable to the sport in question. However, most studies do not use representative samples, or else they present talent detection without using valid scientific methods. This retrospective, comparative study therefore presents the identification of potential sports talents using the Z Strategy, calculated with anthropometric, neuromotor and physical fitness data. Objective: To identify physical abilities and anthropometric values above what are considered the normal ranges in a population of students in the 8th year of basic education, in Chile. Methods: The sample consisted of 9,429 students from public and private schools (50.9% boys). Data were obtained from a cross-sectional study conducted in 2013. Physical fitness and anthropometric data were recompiled through the Educational Quality Measurement System (Sistema de Medición de la Calidad de Educación – SIMCE) of physical education. The “Z Strategy” was used to detect sports talents by identifying values above the population mean. Results: In at least one variable, a total of 619 male and 623 female students with a standard deviation ≥2 (Z2) were detected. Conclusion: “Z Strategy” was able to detect sports talents of both sexes and of different ages. Level of evidence III; Retrospective comparative study.
id SBMEE-1_60389987992dedd562e859d574e7b390
oai_identifier_str oai:scielo:S1517-86922020000200147
network_acronym_str SBMEE-1
network_name_str Revista brasileira de medicina do esporte (Online)
repository_id_str
spelling DETECTING SPORTING TALENTS WITH Z-STRATEGY - CROSS SECTIONAL STUDYTalentSportsPhysical fitnessSchoolChildrenABSTRACT Introduction: Due to the relationship between early identification of physical and anthropometric characteristics above the population mean in children and adolescents, and success in sports, detecting potential sports talents should be broadly and systematically used as a strategy for the early identification of physical characteristics favorable to the sport in question. However, most studies do not use representative samples, or else they present talent detection without using valid scientific methods. This retrospective, comparative study therefore presents the identification of potential sports talents using the Z Strategy, calculated with anthropometric, neuromotor and physical fitness data. Objective: To identify physical abilities and anthropometric values above what are considered the normal ranges in a population of students in the 8th year of basic education, in Chile. Methods: The sample consisted of 9,429 students from public and private schools (50.9% boys). Data were obtained from a cross-sectional study conducted in 2013. Physical fitness and anthropometric data were recompiled through the Educational Quality Measurement System (Sistema de Medición de la Calidad de Educación – SIMCE) of physical education. The “Z Strategy” was used to detect sports talents by identifying values above the population mean. Results: In at least one variable, a total of 619 male and 623 female students with a standard deviation ≥2 (Z2) were detected. Conclusion: “Z Strategy” was able to detect sports talents of both sexes and of different ages. Level of evidence III; Retrospective comparative study.Sociedade Brasileira de Medicina do Exercício e do Esporte2020-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922020000200147Revista Brasileira de Medicina do Esporte v.26 n.2 2020reponame:Revista brasileira de medicina do esporte (Online)instname:Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)instacron:SBMEE10.1590/1517-869220202602195735info:eu-repo/semantics/openAccessSouza-Lima,Josivaldo deZamora,Jaime LeppeYáñez-Sepúlveda,RodrigoMatsudo,Victor Keihan RodriguesMahecha-Matsudo,Sandraeng2020-04-01T00:00:00Zoai:scielo:S1517-86922020000200147Revistahttp://www.scielo.br/rbmeONGhttps://old.scielo.br/oai/scielo-oai.php||revista@medicinadoesporte.org.br1806-99401517-8692opendoar:2020-04-01T00:00Revista brasileira de medicina do esporte (Online) - Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)false
dc.title.none.fl_str_mv DETECTING SPORTING TALENTS WITH Z-STRATEGY - CROSS SECTIONAL STUDY
title DETECTING SPORTING TALENTS WITH Z-STRATEGY - CROSS SECTIONAL STUDY
spellingShingle DETECTING SPORTING TALENTS WITH Z-STRATEGY - CROSS SECTIONAL STUDY
Souza-Lima,Josivaldo de
Talent
Sports
Physical fitness
School
Children
title_short DETECTING SPORTING TALENTS WITH Z-STRATEGY - CROSS SECTIONAL STUDY
title_full DETECTING SPORTING TALENTS WITH Z-STRATEGY - CROSS SECTIONAL STUDY
title_fullStr DETECTING SPORTING TALENTS WITH Z-STRATEGY - CROSS SECTIONAL STUDY
title_full_unstemmed DETECTING SPORTING TALENTS WITH Z-STRATEGY - CROSS SECTIONAL STUDY
title_sort DETECTING SPORTING TALENTS WITH Z-STRATEGY - CROSS SECTIONAL STUDY
author Souza-Lima,Josivaldo de
author_facet Souza-Lima,Josivaldo de
Zamora,Jaime Leppe
Yáñez-Sepúlveda,Rodrigo
Matsudo,Victor Keihan Rodrigues
Mahecha-Matsudo,Sandra
author_role author
author2 Zamora,Jaime Leppe
Yáñez-Sepúlveda,Rodrigo
Matsudo,Victor Keihan Rodrigues
Mahecha-Matsudo,Sandra
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Souza-Lima,Josivaldo de
Zamora,Jaime Leppe
Yáñez-Sepúlveda,Rodrigo
Matsudo,Victor Keihan Rodrigues
Mahecha-Matsudo,Sandra
dc.subject.por.fl_str_mv Talent
Sports
Physical fitness
School
Children
topic Talent
Sports
Physical fitness
School
Children
description ABSTRACT Introduction: Due to the relationship between early identification of physical and anthropometric characteristics above the population mean in children and adolescents, and success in sports, detecting potential sports talents should be broadly and systematically used as a strategy for the early identification of physical characteristics favorable to the sport in question. However, most studies do not use representative samples, or else they present talent detection without using valid scientific methods. This retrospective, comparative study therefore presents the identification of potential sports talents using the Z Strategy, calculated with anthropometric, neuromotor and physical fitness data. Objective: To identify physical abilities and anthropometric values above what are considered the normal ranges in a population of students in the 8th year of basic education, in Chile. Methods: The sample consisted of 9,429 students from public and private schools (50.9% boys). Data were obtained from a cross-sectional study conducted in 2013. Physical fitness and anthropometric data were recompiled through the Educational Quality Measurement System (Sistema de Medición de la Calidad de Educación – SIMCE) of physical education. The “Z Strategy” was used to detect sports talents by identifying values above the population mean. Results: In at least one variable, a total of 619 male and 623 female students with a standard deviation ≥2 (Z2) were detected. Conclusion: “Z Strategy” was able to detect sports talents of both sexes and of different ages. Level of evidence III; Retrospective comparative study.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922020000200147
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922020000200147
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1517-869220202602195735
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Medicina do Exercício e do Esporte
publisher.none.fl_str_mv Sociedade Brasileira de Medicina do Exercício e do Esporte
dc.source.none.fl_str_mv Revista Brasileira de Medicina do Esporte v.26 n.2 2020
reponame:Revista brasileira de medicina do esporte (Online)
instname:Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
instacron:SBMEE
instname_str Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
instacron_str SBMEE
institution SBMEE
reponame_str Revista brasileira de medicina do esporte (Online)
collection Revista brasileira de medicina do esporte (Online)
repository.name.fl_str_mv Revista brasileira de medicina do esporte (Online) - Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
repository.mail.fl_str_mv ||revista@medicinadoesporte.org.br
_version_ 1752122237135093760