Assessment of sleep disturbances with the athlete sleep screening Questionnaire in Chinese athletes
Zhang, B., Bender, A., Tan, X., Wang, X., Le, S., & Cheng, S. (2022). Assessment of sleep disturbances with the athlete sleep screening Questionnaire in Chinese athletes. Sports Medicine and Health Science, 4(2), 133-139. https://doi.org/10.1016/j.smhs.2022.02.001
Published inSports Medicine and Health Science
© 2022 Chengdu Sport University
This study investigated the factors that are associated with sleep disturbances among Chinese athletes. Sleep quality and associated factors were assessed by the Athlete Sleep Screening Questionnaire (ASSQ, n = 394, aged 18–32 years, 47.6% female). Sleep difficulty score (SDS) and level of sleep problem (none, mild, moderate, or severe) were used to classify participants' sleep quality. Categorical variables were analyzed by Chi-square or fisher's exact tests. An ordinal logistic regression analysis was used to explore factors with poor sleep (SDS ≥8). Approximately 14.2% of participants had moderate to severe sleep problem (SDS ≥8). Fifty-nine percent of the athletes reported sleep disturbance during travel, while 43.3% experienced daytime dysfunction when travelling for competition. No significant difference was found in the SDS category between gender, sports level and events. 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). 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). To improve sleep health in athletes, chronotype, travel-related issues, age and years of training should be taken into consideration. ...
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Additional information about fundingThis study was funded by the start-up plan for young scholar fund (Grant AF4150043) and the Shanghai Jiao Tong University Zhiyuan Foundation (CP2014013) at Shanghai Jiao Tong University.
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