Predicting Academic Burnout Based on Life Expectancy and Quality of Life in Female Students

Abstract

Introduction and Aim: Academic burnout is a major concern in university settings and may be associated with reduced motivation, academic exhaustion, perceived inefficacy, and impaired educational functioning. This study aimed to predict academic burnout based on life expectancy and quality of life among female students.

Methodology: This correlational study was conducted among female undergraduate psychology students at Islamic Azad University, Tehran Central Branch, during the 2025-2026 academic year. A total of 225 students were selected through convenience sampling and included in the final statistical analysis. Data were collected using the Academic Burnout Questionnaire developed by Breso et al., Snyder et al.’s Life Expectancy Questionnaire, and the SF-36 Quality of Life Questionnaire. Data analysis was performed using descriptive statistics, Pearson correlation coefficient, and multiple linear regression through SPSS-26.

Findings: Pearson correlation results indicated significant negative relationships between the dimensions of quality of life and academic burnout, as well as between the dimensions of life expectancy and academic burnout. The results of multiple linear regression further showed that quality of life and life expectancy significantly predicted academic burnout among female students. The regression models were significant at the 0.01 level, indicating that higher levels of quality of life and life expectancy were associated with lower levels of academic burnout.

Conclusion: The findings suggest that life expectancy and quality of life are important psychological and health-related predictors of academic burnout among female students. Accordingly, counseling, educational, and psychological interventions aimed at strengthening students’ hope, improving their quality of life, and reducing academic pressures may contribute to the prevention and reduction of academic burnout in university settings.