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Assessment of sleep disturbances with the athlete sleep screening questionnaire in Chinese athletes

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 p...

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Autores principales: Zhang, Boyi, Bender, Amy, Tan, Xiao, Wang, Xiuqiang, Le, Shenglong, Cheng, Sulin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chengdu Sport University 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219323/
https://www.ncbi.nlm.nih.gov/pubmed/35782277
http://dx.doi.org/10.1016/j.smhs.2022.02.001
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author Zhang, Boyi
Bender, Amy
Tan, Xiao
Wang, Xiuqiang
Le, Shenglong
Cheng, Sulin
author_facet Zhang, Boyi
Bender, Amy
Tan, Xiao
Wang, Xiuqiang
Le, Shenglong
Cheng, Sulin
author_sort Zhang, Boyi
collection PubMed
description 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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spelling pubmed-92193232022-06-30 Assessment of sleep disturbances with the athlete sleep screening questionnaire in Chinese athletes Zhang, Boyi Bender, Amy Tan, Xiao Wang, Xiuqiang Le, Shenglong Cheng, Sulin Sports Med Health Sci Original Article 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. Chengdu Sport University 2022-02-10 /pmc/articles/PMC9219323/ /pubmed/35782277 http://dx.doi.org/10.1016/j.smhs.2022.02.001 Text en © 2022 Chengdu Sport University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Zhang, Boyi
Bender, Amy
Tan, Xiao
Wang, Xiuqiang
Le, Shenglong
Cheng, Sulin
Assessment of sleep disturbances with the athlete sleep screening questionnaire in Chinese athletes
title Assessment of sleep disturbances with the athlete sleep screening questionnaire in Chinese athletes
title_full Assessment of sleep disturbances with the athlete sleep screening questionnaire in Chinese athletes
title_fullStr Assessment of sleep disturbances with the athlete sleep screening questionnaire in Chinese athletes
title_full_unstemmed Assessment of sleep disturbances with the athlete sleep screening questionnaire in Chinese athletes
title_short Assessment of sleep disturbances with the athlete sleep screening questionnaire in Chinese athletes
title_sort assessment of sleep disturbances with the athlete sleep screening questionnaire in chinese athletes
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219323/
https://www.ncbi.nlm.nih.gov/pubmed/35782277
http://dx.doi.org/10.1016/j.smhs.2022.02.001
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