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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/43586
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dc.creatorAndressa Silvapt_BR
dc.creatorFernanda Veruska Narcisopt_BR
dc.creatorIgor Soalheiropt_BR
dc.creatorFernanda Viegaspt_BR
dc.creatorLuísa de Sousa Nogueira Freitaspt_BR
dc.creatorAdriano Eduardo Lima da Silvapt_BR
dc.creatorBruno Assis Leitept_BR
dc.creatorHaroldo Christo Aleixopt_BR
dc.creatorRob Duffieldpt_BR
dc.creatorMarco Túlio de Mellopt_BR
dc.date.accessioned2022-07-25T17:06:14Z-
dc.date.available2022-07-25T17:06:14Z-
dc.date.issued2020-05-
dc.citation.volume15pt_BR
dc.citation.issue5pt_BR
dc.citation.spage671pt_BR
dc.citation.epage676pt_BR
dc.identifier.doihttps://doi.org/10.1123/ijspp.2019-0185pt_BR
dc.identifier.issn1555-0273pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/43586-
dc.description.resumoPurpose: To investigate the relationship between sleep quality and quantity and injuries in elite soccer players and to compare sleep–wake variables and injury characteristics. Methods: The current investigation was a prospective cohort study of 23 elite male soccer players competing for 2 teams over 6 mo in the highest-level Brazilian competition. The players’ sleep behavior was monitored for 10 d in the preseason using self-reporting sleep diaries and wrist activity monitors to determine sleep duration and quality. Furthermore, injuries were recorded by the respective club’s medical teams into a specific database. Details of injuries recorded included the type, location, and severity of each injury. The results were expressed as descriptive statistics, and the significance level was set at 5%. The Mann–Whitney U test was performed to compare the sleep variables between groups. Spearman correlation coefficient and linear-regression analysis were used. Results: The results indicated a moderate negative correlation between sleep efficiency and particular injury characteristics, including absence time, injury severity, and amount of injuries. The linear-regression analysis indicated that 44% of the total variance in the number of injuries can be explained by sleep efficiency, 24% of the total variance in the absence time after injury (days) can be explained by sleep efficiency, and 47% of the total variance in the injury severity can be explained by sleep efficiency. Conclusions: Soccer players who exhibit lower sleep quality or nonrestorative sleep show associations with increased number and severity of musculoskeletal injuries.pt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentEEF - DEPARTAMENTO DE ESPORTESpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofInternational Journal of Sports Physiology and Performancept_BR
dc.rightsAcesso Restritopt_BR
dc.subjectInjurypt_BR
dc.subjectAthletept_BR
dc.subjectActigraphypt_BR
dc.subject.otherAtletas - Ferimentos e lesõespt_BR
dc.subject.otherFutebolpt_BR
dc.subject.otherDistúrbios do sonopt_BR
dc.titlePoor sleep quality's association with soccer Injuries: preliminary datapt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://journals.humankinetics.com/view/journals/ijspp/15/5/article-p671.xmlpt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0001-8155-4723pt_BR
dc.identifier.orcidhttp://orcid.org/0000-0001-6863-8252pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0002-7294-1403pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0002-9051-3103pt_BR
dc.identifier.orcidhttp://orcid.org/0000-0002-9454-2219pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0002-0613-5104pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0002-5641-1314pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-3896-2208pt_BR
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