Injury profile of a soccer player training center: An epidemiological study
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | MedNEXT Journal of Medical and Health Sciences |
Texto Completo: | https://mednext.zotarellifilhoscientificworks.com/index.php/mednext/article/view/1 |
Resumo: | Objective: To carry out an epidemiological analysis characterizing the type and location of the injury, severity based on recovery time, game position, and injury for hours of exposure. Methods: Data collection was carried out in the sub 15, sub 17, and sub 20 categories and verified records made by the medical team of the club, which was trained to use the F-MARC form (a form of the medical research center of the International Football Federation - FIFA) at the beginning of the season. To perform the data analysis, the GraphPad Prism software was used. All variables were analyzed using the Kolmogorov-Smirnov test. Results: In relation to the 129 athletes monitored during the season, 62 athletes presented some injury during the season, presenting 42.2 injuries for every 1000 hours of play, the Sub 15 category was the one with the highest incidence of injury, followed by the Sub17 and U20. The average time of leave after injury was 3.65 ± 4.2 weeks, the Defenders were the ones with the highest injury rate. There were 27 articular injuries (43.54%), 25 muscle injuries (40.32%), 9 bone injuries (15.41%), and one pathological injury (1.61%), and the most affected regions were ankle and knee. Conclusion: It is concluded that the moment of the game is the moment when the greatest number of injuries occurs, having a greater incidence in the athletes of the category Sub 15, the Defenders suffered more injuries and the Lower Limbs were more affected, mainly by articular traumas. |
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Injury profile of a soccer player training center: An epidemiological studyTrauma in AthletesEpidemiologySoccerObjective: To carry out an epidemiological analysis characterizing the type and location of the injury, severity based on recovery time, game position, and injury for hours of exposure. Methods: Data collection was carried out in the sub 15, sub 17, and sub 20 categories and verified records made by the medical team of the club, which was trained to use the F-MARC form (a form of the medical research center of the International Football Federation - FIFA) at the beginning of the season. To perform the data analysis, the GraphPad Prism software was used. All variables were analyzed using the Kolmogorov-Smirnov test. Results: In relation to the 129 athletes monitored during the season, 62 athletes presented some injury during the season, presenting 42.2 injuries for every 1000 hours of play, the Sub 15 category was the one with the highest incidence of injury, followed by the Sub17 and U20. The average time of leave after injury was 3.65 ± 4.2 weeks, the Defenders were the ones with the highest injury rate. There were 27 articular injuries (43.54%), 25 muscle injuries (40.32%), 9 bone injuries (15.41%), and one pathological injury (1.61%), and the most affected regions were ankle and knee. Conclusion: It is concluded that the moment of the game is the moment when the greatest number of injuries occurs, having a greater incidence in the athletes of the category Sub 15, the Defenders suffered more injuries and the Lower Limbs were more affected, mainly by articular traumas.Faceres2020-11-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticleapplication/pdfhttps://mednext.zotarellifilhoscientificworks.com/index.php/mednext/article/view/110.34256/mdnt2016MedNEXT Journal of Medical and Health Sciences; Vol. 1 No. 1 (2020): MedNEXT; 29–34MedNEXT Journal of Medical and Health Sciences; v. 1 n. 1 (2020): MedNEXT; 29–342763-5678reponame:MedNEXT Journal of Medical and Health Sciencesinstname:Faculdade de Medicina em São José do Rio Preto (Faceres)instacron:FACERESenghttps://mednext.zotarellifilhoscientificworks.com/index.php/mednext/article/view/1/1Copyright (c) 2021 MedNEXT Journal of Medical and Health Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSouza Melo, Rodolfo deChaves, Mariana TolentinoSouza Melo, Renan deZotarelli-Filho, Idiberto José2021-09-16T14:04:26Zoai:ojs2.mednext.zotarellifilhoscientificworks.com:article/1Revistahttps://mednext.zotarellifilhoscientificworks.com/index.php/mednextPUBhttps://mednext.zotarellifilhoscientificworks.com/index.php/mednext/oaimednextjmhs@zotarellifilhoscientificworks.com2763-56782763-5678opendoar:2021-09-16T14:04:26MedNEXT Journal of Medical and Health Sciences - Faculdade de Medicina em São José do Rio Preto (Faceres)false |
dc.title.none.fl_str_mv |
Injury profile of a soccer player training center: An epidemiological study |
title |
Injury profile of a soccer player training center: An epidemiological study |
spellingShingle |
Injury profile of a soccer player training center: An epidemiological study Souza Melo, Rodolfo de Trauma in Athletes Epidemiology Soccer |
title_short |
Injury profile of a soccer player training center: An epidemiological study |
title_full |
Injury profile of a soccer player training center: An epidemiological study |
title_fullStr |
Injury profile of a soccer player training center: An epidemiological study |
title_full_unstemmed |
Injury profile of a soccer player training center: An epidemiological study |
title_sort |
Injury profile of a soccer player training center: An epidemiological study |
author |
Souza Melo, Rodolfo de |
author_facet |
Souza Melo, Rodolfo de Chaves, Mariana Tolentino Souza Melo, Renan de Zotarelli-Filho, Idiberto José |
author_role |
author |
author2 |
Chaves, Mariana Tolentino Souza Melo, Renan de Zotarelli-Filho, Idiberto José |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Souza Melo, Rodolfo de Chaves, Mariana Tolentino Souza Melo, Renan de Zotarelli-Filho, Idiberto José |
dc.subject.por.fl_str_mv |
Trauma in Athletes Epidemiology Soccer |
topic |
Trauma in Athletes Epidemiology Soccer |
description |
Objective: To carry out an epidemiological analysis characterizing the type and location of the injury, severity based on recovery time, game position, and injury for hours of exposure. Methods: Data collection was carried out in the sub 15, sub 17, and sub 20 categories and verified records made by the medical team of the club, which was trained to use the F-MARC form (a form of the medical research center of the International Football Federation - FIFA) at the beginning of the season. To perform the data analysis, the GraphPad Prism software was used. All variables were analyzed using the Kolmogorov-Smirnov test. Results: In relation to the 129 athletes monitored during the season, 62 athletes presented some injury during the season, presenting 42.2 injuries for every 1000 hours of play, the Sub 15 category was the one with the highest incidence of injury, followed by the Sub17 and U20. The average time of leave after injury was 3.65 ± 4.2 weeks, the Defenders were the ones with the highest injury rate. There were 27 articular injuries (43.54%), 25 muscle injuries (40.32%), 9 bone injuries (15.41%), and one pathological injury (1.61%), and the most affected regions were ankle and knee. Conclusion: It is concluded that the moment of the game is the moment when the greatest number of injuries occurs, having a greater incidence in the athletes of the category Sub 15, the Defenders suffered more injuries and the Lower Limbs were more affected, mainly by articular traumas. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-21 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://mednext.zotarellifilhoscientificworks.com/index.php/mednext/article/view/1 10.34256/mdnt2016 |
url |
https://mednext.zotarellifilhoscientificworks.com/index.php/mednext/article/view/1 |
identifier_str_mv |
10.34256/mdnt2016 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://mednext.zotarellifilhoscientificworks.com/index.php/mednext/article/view/1/1 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 MedNEXT Journal of Medical and Health Sciences https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 MedNEXT Journal of Medical and Health Sciences https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Faceres |
publisher.none.fl_str_mv |
Faceres |
dc.source.none.fl_str_mv |
MedNEXT Journal of Medical and Health Sciences; Vol. 1 No. 1 (2020): MedNEXT; 29–34 MedNEXT Journal of Medical and Health Sciences; v. 1 n. 1 (2020): MedNEXT; 29–34 2763-5678 reponame:MedNEXT Journal of Medical and Health Sciences instname:Faculdade de Medicina em São José do Rio Preto (Faceres) instacron:FACERES |
instname_str |
Faculdade de Medicina em São José do Rio Preto (Faceres) |
instacron_str |
FACERES |
institution |
FACERES |
reponame_str |
MedNEXT Journal of Medical and Health Sciences |
collection |
MedNEXT Journal of Medical and Health Sciences |
repository.name.fl_str_mv |
MedNEXT Journal of Medical and Health Sciences - Faculdade de Medicina em São José do Rio Preto (Faceres) |
repository.mail.fl_str_mv |
mednextjmhs@zotarellifilhoscientificworks.com |
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