A Data Science–Based Exploratory Analysis of Students’ Lifestyle Patterns and Their Relationship with Academic Performance and Stress
摘要
A student’s lifestyle is a vital determinant of academic and career development. Daily habits such as sleep, nutrition, physical activity, time management, and stress regulation significantly influence cognitive performance, focus, and overall well-being. Academic success depends not only on intelligence or instruction but also on maintaining a balanced lifestyle that supports effective learning and sustained performance. However, growing academic pressure often disrupts this balance, leading students to compromise essential wellness behaviors—such as sleep, exercise, and social interaction—in favor of extended study hours. This imbalance increases stress, reduces concentration, and heightens the risk of burnout. In this paper, we address this issue by using data-driven methods to rigorously examine the complex relationships between specific lifestyle patterns (e.g., study hours, sleep duration, stress levels) and tangible outcomes like GPA and perceived stress. The goal of this analysis is to identify robust correlations that can provide actionable insights for universities, guiding the development of evidence-based wellness initiatives and support programs that foster healthier, more balanced, and ultimately more successful student lives