Correlates of Sleep Quality: A Pilot Descriptive Cross-Sectional Survey among Undergraduate Students in a Ghanaian University

E. Oduro, Isaac Hayford Budu, Abigail Kusi Amponsah, Emmanuel Mawuli Abalo
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Abstract

Background and Objective: A gap exists in evidence of the association between sleep quality and the academic performance of university students in sub-Saharan Africa. A limited number of studies have been conducted in this regard, which have mainly focused on medical students, thus neglecting the larger population of undergraduate non-medical students. Materials and Methods: This pilot study evaluated the correlates of sleep quality and the academic performance of 500 randomly sampled undergraduate non-medical students at Kwame Nkrumah University of Science and Technology, Ghana. Data was collected using the Pittsburgh Sleep Quality Index (PSQI) and a demographic questionnaire. The participants' demographic characteristics, academic performance, and sleep quality were first analyzed, descriptively, using SPSS software. Relationships between participants’ sleep quality and demographic factors, and sleep quality and academic performance were determined using Spearman’s rank correlation. The causation between these variables was then determined using simple linear regression. Results: Poor quality of sleep was prevalent among undergraduate students with a mean (SD) PSQI score of 6.43 (2.78). The respondent’s sleep quality had a weak correlation with their academic performance (rs = -0.146; P = 0.001), although poor quality of sleep was a predictor of academic performance [R2 = 0.022; 95% CI (-0.640, -0.168)]. Conclusion: Health education and sleep promotion interventions should be used to encourage good sleep quality and practices among students. Furthermore, the findings point to the need for further studies using a larger population.
睡眠质量的相关性:加纳一所大学本科生的初步描述性横断面调查
背景和目的:撒哈拉以南非洲地区大学生的睡眠质量与学习成绩之间存在差距。在这方面进行的研究数量有限,主要集中在医学生身上,因此忽视了更多的非医学本科生。材料和方法:这项试点研究评估了加纳Kwame Nkrumah科技大学500名随机抽样的非医学本科生的睡眠质量和学习成绩之间的相关性。使用匹兹堡睡眠质量指数(PSQI)和人口统计问卷收集数据。首先使用SPSS软件对参与者的人口统计学特征、学习成绩和睡眠质量进行描述性分析。参与者的睡眠质量与人口统计学因素、睡眠质量与学习成绩之间的关系采用Spearman秩相关法确定。然后使用简单的线性回归来确定这些变量之间的因果关系。结果:睡眠质量差在大学生中普遍存在,平均(SD)PSQI得分为6.43(2.78)。受访者的睡眠质量与学习成绩之间的相关性较弱(rs=-0.146;P=0.001),尽管睡眠质量差是学习成绩的预测因素[R2=0.022;95%CI(-0.640,-0.168)]。结论:应采用健康教育和睡眠促进干预措施,鼓励学生保持良好的睡眠质量和实践。此外,研究结果表明,需要使用更多的人群进行进一步的研究。
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