The Prevalence and Predictors of Sleep Disorders and Their Impact on Academic Performance Among Saudi University Students: A Cross-Sectional Study

Abstract

Background: University students encounter a variety of sleep problems that have an impact on their health and academic performance. Therefore, the aim of this study was to evaluate the prevalence of sleep disorders and their impact on academic performance among Saudi university students.Methods: This is an online cross-sectional study that involved university students and was conducted between November 2022 and February 2023 in Saudi Arabia. Sleep disorders were examined among undergraduate students through online screening surveys including the Epworth Sleepiness Scale (ESS) to assess excessive daytime sleepiness, the Insomnia Severity Index (ISI) to measure insomnia, and the Berlin questionnaire to examine obstructive sleep apnea (OSA). Restless leg syndrome (RLS) was measured using the RLS rating. SPSS version 29.0 (IBM Corp., Armonk, NY, USA) was used for all statistical analyses. Binary logistic regression analysis was used to identify predictors of having excessive daytime sleepiness, insomnia, sleep-disordered breathing, and RLS.Results: The sample included 449 participants. According to the ESS, 56.6% (n=254) of students reported excessive daytime sleepiness. Using the ISI, 78.4% (n=352) of students were found to have insomnia. The Berlin questionnaire indicated that 6.7% (n=30) of students had sleep-disordered breathing. Additionally, 13.6% (n=61) of students reported having RLS. Male students had higher odds of sleep-disordered breathing compared to females (p<0.01), while marital status showed that married students had higher odds of sleepdisordered breathing (p<0.05). Students who reported nighttime sleeping had lower odds of insomnia and restless leg syndrome (p<0.05). Having regular sleeping times was associated with higher odds of insomnia (p<0.05). Napping sometimes was associated with higher odds of excessive daytime sleepiness and sleepdisordered breathing (p<0.05). Students working day and night shifts had higher odds of sleep-disordered breathing (p<0.01). Interestingly, students with comorbidities had lower odds of RLS (p<0.01). However, there is no significant association between having sleep disorders and academic achievement.Conclusion: This study established that sleep disturbances among students significantly reduce grade point averages (GPAs), where the most affected were male students and those who were married. The government should implement sleep education programs, provide resources for the management of sleep, encourage consistent sleep schedules, and come up with targeted interventions for at-risk groups. More research is also recommended on effective sleep interventions.