Poor sleep quality's association with soccer Injuries: preliminary data

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dc.creatorAndressa Silva
dc.creatorFernanda Veruska Narciso
dc.creatorIgor Soalheiro
dc.creatorFernanda Viegas
dc.creatorLuísa de Sousa Nogueira Freitas
dc.creatorAdriano Eduardo Lima da Silva
dc.creatorBruno Assis Leite
dc.creatorHaroldo Christo Aleixo
dc.creatorRob Duffield
dc.creatorMarco Túlio de Mello
dc.date.accessioned2022-07-25T17:06:14Z
dc.date.accessioned2025-09-08T23:20:28Z
dc.date.available2022-07-25T17:06:14Z
dc.date.issued2020-05
dc.identifier.doihttps://doi.org/10.1123/ijspp.2019-0185
dc.identifier.issn1555-0273
dc.identifier.urihttps://hdl.handle.net/1843/43586
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofInternational Journal of Sports Physiology and Performance
dc.rightsAcesso Restrito
dc.subjectAtletas - Ferimentos e lesões
dc.subjectFutebol
dc.subjectDistúrbios do sono
dc.subject.otherInjury
dc.subject.otherAthlete
dc.subject.otherActigraphy
dc.titlePoor sleep quality's association with soccer Injuries: preliminary data
dc.typeArtigo de periódico
local.citation.epage676
local.citation.issue5
local.citation.spage671
local.citation.volume15
local.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.
local.identifier.orcidhttps://orcid.org/ 0000-0001-8155-4723
local.identifier.orcidhttp://orcid.org/0000-0001-6863-8252
local.identifier.orcidhttps://orcid.org/ 0000-0002-7294-1403
local.identifier.orcidhttps://orcid.org/ 0000-0002-9051-3103
local.identifier.orcidhttp://orcid.org/0000-0002-9454-2219
local.identifier.orcidhttps://orcid.org/ 0000-0002-0613-5104
local.identifier.orcidhttps://orcid.org/ 0000-0002-5641-1314
local.identifier.orcidhttps://orcid.org/0000-0003-3896-2208
local.publisher.countryBrasil
local.publisher.departmentEEF - DEPARTAMENTO DE ESPORTES
local.publisher.initialsUFMG
local.url.externahttps://journals.humankinetics.com/view/journals/ijspp/15/5/article-p671.xml

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