Exploring University Student Sleep Patterns and Lifestyle Correlations

Sleep is a critical factor influencing the academic performance and overall well-being of university students. However, their sleep patterns are often irregular due to academic pressures, social activities, and lifestyle choices. This study investigates the correlations between sleep patterns and lifestyle factors such as screen time, caffeine intake, physical activity, and study hours. Using a synthetic dataset of 500 records, we analyze key metrics including sleep duration, sleep quality, and differences based on gender and university year. Our analysis reveals significant trends, such as a negative correlation between screen time and sleep quality, and a positive relationship between physical activity and sleep quality. Caffeine intake was found to disrupt both sleep quality and duration, particularly among students in advanced university years. Gender-based differences were also noted, with female students reporting slightly better sleep quality compared to their male counterparts. Furthermore, we examine weekday versus weekend sleep patterns, highlighting the prevalence of sleep irregularities and their potential impacts on academic performance. Statistical and visualization techniques such as correlation matrices, scatter plots, and bar graphs are used to support the findings. This research underscores the importance of balanced lifestyle habits for improved sleep quality, providing actionable insights for students and educators alike.