Sleep Quality and Its Possible Predictors Among University Students of Islamabad, Pakistan

Abstract

Objective: To assess sleep quality among Islamabad university students and find predictors of poor sleep quality.
 Study Design: Cross-sectional analytic study
 Place and Duration of Study: Capital University of Science and Technology ,Islamabad Pakistan, from Feb to Jun 2019
 Methodology: The study population (n=397) was undergraduate students from all eight semesters of four faculties. The dependent variable sleep quality was measured through a standard validated tool, Pittsburgh Sleep Quality Index (PSQI). 
 Results: Out of 397 participants, 158(40%) were hostelities and 239(60%) were day scholars. There were 134(33.5%) students having a good sleep, and 263(66.5%) were having a bad sleep, according to PSQI scores obtained. Association analysis showed a statistically significant association between sleep quality and heavy meals, gadget use, drinking beverages before bedtime,sleeping in a noisy room, and type of residence (p ≤ 0.001). Study findings showed gadget use before bedtime (AOR=4.472,95% CI=2.674-7.478), residence type (AOR=2.323,95% CI=1.4-3.855), sleeping in a noisy room (AOR=2.241,95% CI=1.369-3.665)and heavy meal before bedtime (AOR=1.985,95% CL=1.142-3.451) were significant predictors of poor sleep quality.
 Conclusion: It was concluded that two out of three students need better sleep quality. Universities should give preparatory assistance for developing and executing health promotion and educational curricula.