TY - JOUR
T1 - Assessment of sleep disturbances with the athlete sleep screening questionnaire in Chinese athletes
AU - Zhang, Boyi
AU - Bender, Amy
AU - Tan, Xiao
AU - Wang, Xiuqiang
AU - Le, Shenglong
AU - Cheng, Sulin
N1 - © 2022 Chengdu Sport University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
PY - 2022/6
Y1 - 2022/6
N2 - 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.
AB - 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.
U2 - 10.1016/j.smhs.2022.02.001
DO - 10.1016/j.smhs.2022.02.001
M3 - Journal articles
C2 - 35782277
SN - 2666-3376
VL - 4
SP - 133
EP - 139
JO - Sports medicine and health science
JF - Sports medicine and health science
IS - 2
ER -