Which parameters to use for sleep quality monitoring in team sport athletes? A systematic review and metaanalysis
Article
Article Title | Which parameters to use for sleep quality monitoring in team sport athletes? A systematic review and metaanalysis |
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ERA Journal ID | 210205 |
Article Category | Article |
Authors | Claudino, Joao Gustavo (Author), Gabbett, Tim J. (Author), de Sa Souza, Helton (Author), Simim, Mario (Author), Fowler, Peter (Author), de Alcantara Borba, Diego (Author), Melo, Marco (Author), Bottino, Altamiro (Author), Loturco, Irineu (Author), D’Almeida, Vania (Author), Amadio, Alberto Carlos (Author), Serrao, Julio Cerca (Author) and Nassis, George P. (Author) |
Journal Title | BMJ Open Sport & Exercise Medicine |
Journal Citation | 5 (1), pp. 1-13 |
Article Number | e000475 |
Number of Pages | 13 |
Year | 2019 |
Place of Publication | United Kingdom |
ISSN | 2055-7647 |
Digital Object Identifier (DOI) | https://doi.org/10.1136/bmjsem-2018-000475 |
Web Address (URL) | https://bmjopensem.bmj.com/content/5/1/bmjsem-2018-000475 |
Abstract | Background: Sleep quality is an essential component of athlete's recovery. However, a better understanding of the parameters to adequately quantify sleep quality in team sport athletes is clearly warranted. Objective: To identify which parameters to use for sleep quality monitoring in team sport athletes. Methods: Systematic searches for articles reporting the qualitative markers related to sleep in team sport athletes were conducted in PubMed, Scopus, SPORTDiscus and Web of Science online databases. The systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. For the meta-analysis, effect sizes with 95% CI were calculated and heterogeneity was assessed using a random-effects model. The coefficient of variation (CV) with 95% CI was also calculated to assess the level of instability of each parameter. Results: In general, 30 measuring instruments were used for monitoring sleep quality. A meta-analysis was undertaken on 15 of these parameters. Four objective parameters inferred by actigraphy had significant results (sleep efficiency with small CV and sleep latency, wake episodes and total wake episode duration with large CV). Six subjective parameters obtained from questionnaires and scales also had meaningful results (Pittsburgh Sleep Quality Index (sleep efficiency), Likert scale (Hooper), Likert scale (no reference), Liverpool Jet-Lag Questionnaire, Liverpool Jet-Lag Questionnaire (sleep rating) and RESTQ (sleep quality)). Conclusions: These data suggest that sleep efficiency using actigraphy, Pittsburgh Sleep Quality Index, Likert scale, Liverpool Jet-Lag Questionnaire and RESTQ are indicated to monitor sleep quality in team sport athletes. |
Keywords | actigraphy; performance; questionnaires and scales; recovery |
ANZSRC Field of Research 2020 | 420799. Sports science and exercise not elsewhere classified |
Byline Affiliations | Sao Paulo State University, Brazil |
Institute for Resilient Regions | |
Federal University of Sao Paulo, Brazil | |
Federal University of Ceara, Brazil | |
Aspetar Orthopaedic and Sports Medicine Hospital, Qatar | |
Federal University of Minas Gerais (UMG), Brazil | |
Sao Paulo Football Club, Brazil | |
Nucleus of High Performance in Sport, Brazil | |
No affiliation | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6w49/which-parameters-to-use-for-sleep-quality-monitoring-in-team-sport-athletes-a-systematic-review-and-metaanalysis
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Claudino_Gabbett_et al_2019_Which parameters to use for sleep monitoring_BMJ Open Sport & Ex Med.pdf | ||
License: CC BY-NC 4.0 | ||
File access level: Anyone |
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