Predicting Academic Burnout Based on Quality of Life and Spiritual Intelligence

Abstract

The aim of this study was to predict academic burnout among university
students based on quality of life and spiritual intelligence. This study
employed a correlational design. The statistical population consisted of
undergraduate students at Allameh Tabataba’i University during the 2022–
2023 academic year, from which 300 participants were selected using random
sampling. Data were collected using the Academic Burnout Questionnaire
(Breso et al., 1997), the SF-36 Quality of Life Questionnaire, and the Spiritual
Intelligence Scale (King, 2008). Data analysis was conducted using SPSS
software, applying descriptive statistics (mean, standard deviation) and
inferential statistics (Pearson correlation and multiple regression analysis).
The results indicated a significant negative relationship between quality of
life and academic burnout (r = -0.43, p < 0.001), as well as between spiritual
intelligence and academic burnout (r = -0.26, p < 0.001). Multiple regression
analysis revealed that these two variables jointly explained approximately
23% of the variance in academic burnout (R² = 0.227, p < 0.001), with quality
of life showing a stronger predictive role. Additionally, a significant negative
relationship was found between students’ GPA and academic burnout (r = -
0.124, p = 0.03). The findings suggest that quality of life and spiritual
intelligence function as significant protective factors against academic
burnout, and enhancing these variables may contribute to improved mental
health and academic performance among students.