Abstract
Purpose: The deconstruction of sleep quality into its particular components may help to specify how each one of them influence academic performance and health. Thus, the current study aims to assess sleep quality among students and the association of each component of the Pittsburgh Sleep Quality Index (PSQI) with academic performance, mental, and general health. Methods: One hundred and forty-three students participated in the study and filled up demographic forms, Pittsburgh Sleep Quality Index (PSQI), General Health Questionnaire (GHQ), and Depression, Anxiety, Stress Scale- 21 (DASS 21). Multiple regression analysis was performed to examine the correlation between PSQI, academic performance, and health among the participants. Logistic analysis was used to determine the significance of association between PSQI and factors like academic performance and health. Results: Analysis of data shows 51.74% participants experienced bad quality sleep. Poor sleep quality was a significant predictor of depression (36.3%), anxiety (19.6%) and stress (29.9%), positive health (21.8%) and negative health (42.6%). Sleep latency as an individual component has a significant negative impact on academic performance. ‘Subjective sleep quality’ and ‘daytime dysfunction due to sleepiness’ had a significant impact on both physical and mental health. Logistic regression analysis of the association between scores on academic performance, mental health, and sleep quality demonstrated significant correlations between quality of sleep and mental health scores (odds ratio = 1.05:1.03–1.06, p < 0.01). Conclusion: Sleep is an important determinant of academic performance, and health of the students. The findings of the study will aid to develop intervention strategies that address the overall health issues of students.
