High Impact Practices Student Showcase Spring 2026
The Analysis of Factors that Lead to Burnout in Postsecondary Students
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Course Code
STA
Course Number
4164
Faculty/Instructor
Professor Nathaniel Simone
Faculty/Instructor Email
nathaniel.simone@ucf.edu
Abstract, Summary, or Creative Statement
Medical students face intense academic pressure, which frequently results in severe mental exhaustion and burnout. The motivation behind this analysis was to identify the key academic and psychological factors behind burnout with a Kaggle sample dataset, of 886 medical students based in Switzerland. I conducted a multiple linear regression analysis while utilizing a various model selection processes to find the most significant predictors of exhaustion in medical students.
The finalized model demonstrated that a student's Curriculum Year, Anxiety Score, and Academic Motivation successfully explained approximately 30% of the variance in burnout levels, with Curriculum Year being the strongest predictor overall. Burnout is not simply a result of “studying too hard” but more so, stemmed from the increased pressure and anxiety that medical students face as they progress into their demanding curriculum. I would highly recommended universities all of the world implement more targeted mental health interventions and support these transition years to protect the well-being of our future medical professionals.
Keywords
Multiple Linear Regression Analysis; Student Burnout Exhaustion; Post-secondary Education; Academic Anxiety; Mental Health; Academic Motivation; Medical Education; Mental Health Support
Recommended Citation
Chin, Allicyan, "The Analysis of Factors that Lead to Burnout in Postsecondary Students" (2026). High Impact Practices Student Showcase Spring 2026. 55.
https://stars.library.ucf.edu/hip-2026spring/55
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