Assessment of Sleep Quality and Quality of Life with their Interrelationship among Students Attending Higher Educational Institutions
Manjot Kaur
Master in Public Health, Panjab University, Chandigarh, India.
Dinesh Kumar *
Department of Community Medicine, Government Medical College and Hospital, Chandigarh, India.
Manoj Kumar
Centre for Public Health, Panjab University, Chandigarh, India.
*Author to whom correspondence should be addressed.
Abstract
Objectives: The study aimed to ascertain the association between sleep quality and quality of life among students enrolled in higher education institutions in Chandigarh, India.
Materials and Methods: This cross-sectional study was conducted among 256 college-going students. A self-administered questionnaire was used to collect data, including questions about background characteristics and two scales- the PSQI Scale to determine sleep quality and the Q-LES-Q-SF to assess the quality of life. Descriptive and analytical statistics were utilised, with analytical statistics being conducted using the Chi-square test, ANOVA and Binary Logistic Regression.
Result: Approximately 63% of the students experienced sleep disturbances, and roughly 32% of the participants had a quality of life that was above average. A significant association between the quality of life and sleep quality (P<0.05) was found. The quality of life and sleep disturbance showed a statistically significant negative correlation (r = -0.428, P<0.001). The quality of life and sleep were not impacted by socio-demographic characteristics such as age, gender, residence, or educational background (P > 0.05). In one-way ANOVA, sleep quality was significantly impacted by the living situation, family relationships, social relationships, and socioeconomic position (P<0.05).
Conclusion: The study concludes that quality of life and sleep are interrelated. Sleep quality indices are highly influenced by life’s quality components, like socio-economic status, living status, and social and familial relationships. Poor sleep quality is connected to impaired quality of life. The study suggests that sleep components should also be incorporated in the evaluation of quality of life in future research.
Keywords: Sleep quality, Pittsburgh sleep quality index, sleep disturbance, the quality of Life, Q-LES-Q-SF