A1 Journal article (refereed)
Assessment of sleep disturbances with the athlete sleep screening Questionnaire in Chinese athletes (2022)


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


JYU authors or editors


Publication details

All authors or editors: Zhang, Boyi; Bender, Amy; Tan, Xiao; Wang, Xiuqiang; Le, Shenglong; Cheng, Sulin

Journal or series: Sports Medicine and Health Science

eISSN: 2666-3376

Publication year: 2022

Publication date: 10/02/2022

Volume: 4

Issue number: 2

Pages range: 133-139

Publisher: KeAi Elsevier

Publication country: China

Publication language: English

DOI: https://doi.org/10.1016/j.smhs.2022.02.001

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/80513


Abstract

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.


Keywords: athletes; sleep; sleep disorders; questionnaire survey

Free keywords: athlete; sleep quality; sleep health; questionnaire


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2022

Preliminary JUFO rating: 0


Last updated on 2023-10-01 at 15:11