Poor Sleep Quality's Association With Soccer Injuries: Preliminary Data.

Silva, A; Narciso, FV; Soalheiro, I; Viegas, F; Freitas, LSN; Lima, A; Leite, BA; Aleixo, HC; Duffield, R; de Mello, MT

Poor Sleep Quality's Association With Soccer Injuries: Preliminary Data.

Silva, A Narciso, FV Soalheiro, I Viegas, F Freitas, LSN Lima, A Leite, BA Aleixo, HC Duffield, R

de Mello, MT

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Publisher:: Human Kinetics
Publication Type:: Journal Article
Citation:: International journal of sports physiology and performance, 2020, 15, (5), pp. 671-676
Issue Date:: 2020-05

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Field	Value	Language
dc.contributor.author	Silva, A
dc.contributor.author	Narciso, FV
dc.contributor.author	Soalheiro, I
dc.contributor.author	Viegas, F
dc.contributor.author	Freitas, LSN
dc.contributor.author	Lima, A
dc.contributor.author	Leite, BA
dc.contributor.author	Aleixo, HC
dc.contributor.author	Duffield, R https://orcid.org/0000-0002-5641-1314
dc.contributor.author	de Mello, MT
dc.date.accessioned	2020-09-02T00:55:10Z
dc.date.available	2019-08-13
dc.date.available	2020-09-02T00:55:10Z
dc.date.issued	2020-05
dc.identifier.citation	International journal of sports physiology and performance, 2020, 15, (5), pp. 671-676
dc.identifier.issn	1555-0265
dc.identifier.issn	1555-0273
dc.identifier.uri	http://hdl.handle.net/10453/142481
dc.description.abstract	PURPOSE: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.
dc.format	Electronic
dc.language	eng
dc.publisher	Human Kinetics
dc.relation.ispartof	International journal of sports physiology and performance
dc.relation.isbasedon	10.1123/ijspp.2019-0185
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1106 Human Movement and Sports Sciences, 1116 Medical Physiology, 1701 Psychology
dc.subject.classification	Sport Sciences
dc.subject.mesh	Musculoskeletal System
dc.subject.mesh	Humans
dc.subject.mesh	Athletic Injuries
dc.subject.mesh	Trauma Severity Indices
dc.subject.mesh	Incidence
dc.subject.mesh	Risk Factors
dc.subject.mesh	Prospective Studies
dc.subject.mesh	Competitive Behavior
dc.subject.mesh	Sleep
dc.subject.mesh	Soccer
dc.subject.mesh	Adult
dc.subject.mesh	Brazil
dc.subject.mesh	Male
dc.subject.mesh	Young Adult
dc.subject.mesh	Musculoskeletal System
dc.subject.mesh	Humans
dc.subject.mesh	Athletic Injuries
dc.subject.mesh	Trauma Severity Indices
dc.subject.mesh	Incidence
dc.subject.mesh	Risk Factors
dc.subject.mesh	Prospective Studies
dc.subject.mesh	Competitive Behavior
dc.subject.mesh	Sleep
dc.subject.mesh	Soccer
dc.subject.mesh	Adult
dc.subject.mesh	Brazil
dc.subject.mesh	Male
dc.subject.mesh	Young Adult
dc.subject.mesh	Adult
dc.subject.mesh	Athletic Injuries
dc.subject.mesh	Brazil
dc.subject.mesh	Competitive Behavior
dc.subject.mesh	Humans
dc.subject.mesh	Incidence
dc.subject.mesh	Male
dc.subject.mesh	Musculoskeletal System
dc.subject.mesh	Prospective Studies
dc.subject.mesh	Risk Factors
dc.subject.mesh	Sleep
dc.subject.mesh	Soccer
dc.subject.mesh	Trauma Severity Indices
dc.subject.mesh	Young Adult
dc.title	Poor Sleep Quality's Association With Soccer Injuries: Preliminary Data.
dc.type	Journal Article
utslib.citation.volume	15
utslib.location.activity	United States
utslib.for	1106 Human Movement and Sports Sciences
utslib.for	1116 Medical Physiology
utslib.for	1701 Psychology
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2020-09-02T00:55:04Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	15
utslib.citation.issue	5

Abstract:

PURPOSE: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.

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http://hdl.handle.net/10453/142481