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found a positive relationship (effect size: d = 1.0) between the amount of physical activity and sleep. In a systematic review (21 studies 16,549 participants in the age range 14–24 years), Lang et al. Sleep quantity and quality may also be improved by regular exercise. Regular participation in physical activity induces many favorable health benefits including positive adaptations of the musculoskeletal, metabolic, and cardiovascular systems. Finally, high inter- and intra-individual variability in the athletes’ sleep characteristics suggests a need for providing individual responses in addition to group means. The use of interdisciplinary mixed-method approaches should be encouraged in future studies on sleep and elite sport. Boarding conditions may provide a good option to standardize as many variables as possible without the inconvenience of laboratory.
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Future experimental studies on sleep and elite sport performance should systematically report the seasonal phase. Therefore, the influence of ordinary sleep, poor sleep, and extended sleep as important additional contributors to training load should be studied. Additionally, athletes are affected by extensive exposure to electric light and evening use of electronic media devices. The specificity of training and competition schedules possibly accounts for the single most influential factor leading to inconsistency in sleep among elite athletes (e.g., “social jet lag”). Sleep behavior may notably vary depending on the athlete’s typical daily schedule. There is currently little scientific evidence supporting a specific influence of one particular type of sport on sleep sleep disorders may be, however, more common in strength/power and contact sports. We also provide methodological approaches to better address the inter-individual variability of sleep in future studies with elite athletes. This article provides a review of the current available literature regarding the variability of sleep among elite athletes and factors possibly responsible for this phenomenon. Inter-individual variability of sleep patterns (e.g., sleep requirements, chronotype) may have important implications not only for recovery and training schedules but also for the choice of measures to possibly improve sleep. Wa_cq_url: "/content/Elite athletes’ lifestyle delivers a significant challenge to sleep, due to both the physiological and psychological demands, and the training and competition schedules. Wa_audience: "emtaudience:business/btssbusinesstechnologysolutionspecialist/developer/softwaredeveloper", Wa_english_title: "Artificial Intelligence New", Wa_emtsubject: "emtsubject:itinformationtechnology/aiartificialintelligence",
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