Εμφάνιση απλής εγγραφής

dc.creatorVlahoyiannis A., Aphamis G., Bogdanis G.C., Sakkas G.K., Andreou E., Giannaki C.D.en
dc.date.accessioned2023-01-31T11:37:00Z
dc.date.available2023-01-31T11:37:00Z
dc.date.issued2021
dc.identifier10.1016/j.jshs.2020.03.006
dc.identifier.issn20952546
dc.identifier.urihttp://hdl.handle.net/11615/80677
dc.description.abstractPurpose: This systematic review aimed to describe objective sleep parameters for athletes under different conditions and address potential sleep issues in this specific population. Methods: PubMed and Scopus were searched from inception to April 2019. Included studies measured sleep only via objective evaluation tools such as polysomnography or actigraphy. The modified version of the Newcastle–Ottawa Scale was used for the quality assessment of the studies. Results: Eighty-one studies were included, of which 56 were classified as medium quality, 5 studies as low quality, and 20 studies as high quality. A total of 1830 athletes were monitored over 18,958 nights. Average values for sleep-related parameters were calculated for all athletes according to sex, age, athletic expertise level, training season, and type of sport. Athletes slept on average 7.2 ± 1.1 h/night (mean ± SD), with 86.3% ± 6.8% sleep efficiency (SE). In all datasets, the athletes’ mean total sleep time was <8 h. SE was low for young athletes (80.3% ± 8.8%). Reduced SE was attributed to high wake after sleep onset rather than sleep onset latency. During heavy training periods, sleep duration and SE were on average 36 min and 0.8% less compared to pre-season and 42 min and 3.0% less compared to in-season training periods, respectively. Conclusion: Athletes’ sleep duration was found to be short with low SE, in comparison to the general consensus for non-athlete healthy adults. Notable sleep issues were revealed in young athletes. Sleep quality and architecture tend to change across different training periods. © 2021en
dc.language.isoenen
dc.sourceJournal of Sport and Health Scienceen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85084500933&doi=10.1016%2fj.jshs.2020.03.006&partnerID=40&md5=64392c108914c39c047e418cad710840
dc.subjectactimetryen
dc.subjectadulten
dc.subjectathleteen
dc.subjectconsensusen
dc.subjectcontrolled studyen
dc.subjectfemaleen
dc.subjecthumanen
dc.subjectmaleen
dc.subjectMedlineen
dc.subjectNewcastle-Ottawa scaleen
dc.subjectnighten
dc.subjectpolysomnographyen
dc.subjectquality controlen
dc.subjectreviewen
dc.subjectScopusen
dc.subjectseasonen
dc.subjectsleep latencyen
dc.subjectsleep qualityen
dc.subjectsleep timeen
dc.subjectsystematic reviewen
dc.subjectactimetryen
dc.subjectageen
dc.subjectathleteen
dc.subjectathletic performanceen
dc.subjectphysiologyen
dc.subjectpolysomnographyen
dc.subjectsex factoren
dc.subjectsleepen
dc.subjectsporten
dc.subjectActigraphyen
dc.subjectAge Factorsen
dc.subjectAthletesen
dc.subjectAthletic Performanceen
dc.subjectHumansen
dc.subjectPolysomnographyen
dc.subjectSex Factorsen
dc.subjectSleepen
dc.subjectSportsen
dc.subjectElsevier B.V.en
dc.titleDeconstructing athletes’ sleep: A systematic review of the influence of age, sex, athletic expertise, sport type, and season on sleep characteristicsen
dc.typeotheren


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