Prevalence of Poor Sleep Quality and Its Related Factors Among University Students: A Cross-sectional Study



Author Information

Manvi Upadhaya, Gulf Medical University, United Arab Emirates
Shatha Al-Sharbatti, Gulf Medical University, United Arab Emirates

Abstract

Poor sleep quality is a prevalent issue among university students globally, impacting academic performance, mental health, and overall well-being. This issue is particularly relevant in the United Arab Emirates (UAE), where unique sociocultural and lifestyle factors may contribute to sleep disturbances. This study aimed to determine the prevalence of poor sleep quality among university students in the UAE, identify the factors associated with and independently predicting poor sleep quality in this population and assess the mental health impact of poor sleep quality among students. A cross-sectional study was conducted among students at Gulf Medical University (GMU) in Ajman, UAE. Data was collected using the Pittsburgh Sleep Quality Index (PSQI), the Athens Insomnia Scale (AIS), the Perceived Stress Scale (PSS), and a researcher-developed questionnaire assessing socio-demographic, educational, lifestyle, and health factors. Data was analyzed using chi-square tests to assess associations and logistic regression to identify independent predictors of poor sleep quality. The calculated sample size was 562. Poor sleep quality (PSQI > 5) prevalence was 32%. Significant associations included age, living arrangement, study hours, screen time, caffeine, water intake, health conditions and BMI. Independent predictors were health conditions and caffeine. This study highlights the substantial prevalence of poor sleep quality among university students in the UAE and identifies several modifiable risk factors. These findings underscore the need for targeted interventions to promote healthy sleep and improve the overall well-being of university students.


Paper Information

Conference: ACE2025
Stream: Mind

The full paper is not available for this title


Virtual Presentation


Comments & Feedback

Place a comment using your LinkedIn profile

Comments

Share on activity feed

Powered by WP LinkPress

Share this Research

Posted by James Alexander Gordon