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Deconstructing athletes’ sleep: A systematic review of the influence of age,sex, athletic expertise,sport type,and season on sleep characteristics
Authors:Angelos Vlahoyiannis  George Aphamis  Gregory C Bogdanis  Giorgos K Sakkas  Eleni Andreou  Christoforos D Giannaki
Institution:aDepartment of Life and Health Sciences, University of Nicosia, Nicosia 1700, Cyprus;bSchool of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens 17237, Greece;cDepartment of Physical Education and Sport Science, University of Thessaly, Trikala 42100, Greece;dSchool of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff CF5 2YB, UK
Abstract:PurposeThis systematic review aimed to describe objective sleep parameters for athletes under different conditions and address potential sleep issues in this specific population.MethodsPubMed 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.ResultsEighty-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.ConclusionAthletes’ 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.
Keywords:Actigraphy  Polysomnography  Sleep architecture  Sleep duration  Sleep quality
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