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Athletes sleep expert12/8/2023 ![]() To improve sleep health in athletes, chronotype, travel-related issues, age and years of training should be taken into consideration.Īthletic performance has been shown to be related to sleep quality. ![]() For each additional year of age, there was an increase of odds ratio for poor sleep quality ( OR, 1.15 95% CI, 1.04–1.26 p = 0.004), while each additional year of training reduced the odds ratio ( OR, 0.95 95% CI, 0.91–0.99 p = 0.044). Athletes with evening chronotype were more likely to report worse sleep than athletes with morning and intermediate chronotype ( OR, 2.25 95% CI, 1.44–3.52 p < 0.001). No significant difference was found in the SDS category between gender, sports level and events. Fifty-nine percent of the athletes reported sleep disturbance during travel, while 43.3% experienced daytime dysfunction when travelling for competition. An ordinal logistic regression analysis was used to explore factors with poor sleep (SDS ≥8).Īpproximately 14.2% of participants had moderate to severe sleep problem (SDS ≥8). Categorical variables were analyzed by Chi-square or fisher's exact tests. Sleep difficulty score (SDS) and level of sleep problem (none, mild, moderate, or severe) were used to classify participants' sleep quality. Sleep quality and associated factors were assessed by the Athlete Sleep Screening Questionnaire (ASSQ, n = 394, aged 18–32 years, 47.6% female). This study investigated the factors that are associated with sleep disturbances among Chinese athletes.
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