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

Mamoona Zahoor; Saman Waqar; Ayesha Baber Kawish; Ume- Sughra; Syed Fawad Mashhadi; Asima Shahzad

doi:10.51253/pafmj.v73i1.7814

Authors

Mamoona Zahoor Army Medical College/National University of Medical Science (NUMS) Rawalpindi Pakistan
Saman Waqar Al Shifa Trust Eye Hospital Rawalpindi Pakistan
Ayesha Baber Kawish Al Shifa Trust Eye Hospital Rawalpindi Pakistan
Ume- Sughra Al Shifa Trust Eye Hospital Rawalpindi Pakistan
Syed Fawad Mashhadi Army Medical College/National University of Medical Science (NUMS) Rawalpindi Pakistan
Asima Shahzad Army Medical College/National University of Medical Science (NUMS) Rawalpindi Pakistan

DOI:

https://doi.org/10.51253/pafmj.v73i1.7814

Keywords:

Pittsburgh Sleep Quality Index, Sleep environment, Sleep quality, University students

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.