Effect  of Quality of Sleep on Academic Performance of Undergraduate Nursing Students : An Analytic Cross -Sectional Study In Pakistan

Fouzia Jabeen

doi:10.71164/socialmedicine.v18i2.2025.1903

Authors

Fouzia Jabeen NUMS Rawalpindi

DOI:

https://doi.org/10.71164/socialmedicine.v18i2.2025.1903

Abstract

Abstract

Background: Sleep is crucial for human health and to perform tasks. Quality of sleep plays a vital role in student’s learning abilities and academic performance. Poor sleep quality is common among nursing students due to their hectic schedules which can negatively impact their mental abilities and academic performance. Objective: The purpose of this study was to determine an association between the quality of sleep and academic performance among undergraduate nursing students. Methods: An Analytical Cross-Sectional study recruited 194 nursing students from one public sector and one private sector nursing institutes in Rawalpindi and Islamabad. Sleep quality was assessed using a validated tool Pittsburgh Sleep Quality Index (PSQI and academic performance was measured by the student’s current CGPA. The data was analyzed using SPSS version 26, using descriptive and inferential statistics such as Pearson Correlation, logistic regression, and Chi-Square tests, with statistical significance set at p < 0.05. Results: The study comprised 38.1% (74) of male nursing students and 61.9% (120) of female nursing students. Of the total 30.9% (60) have good quality sleep, 59.3% (115) have fairly good, 9.3 % (18) have fairly bad, and 0.5% (1) have very bad quality of sleep. However, most of the students had fairly good sleep quality and excellent and good CGPAs as 65 students had excellent, and 75 had very good CGPAs The study found no significant correlation between academic performance and quality of sleep, possibly due to unresolved confounding factors. The Chi-square analysis indicated a p-value of 0.634 and 0.137. Conclusion: The Students who had high academic scores and those who did not, have not shown any discernible difference in their quality of sleep. A longitudinal study is recommended to understand the impact of sleep quality on academic performance, improving data validity and reliability.

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