Academic Burnout and Resilience as predictors of psychological well-being in university students

This research aimed to determine whether academic Burnout and Resilience predict psychological well-being among university students. The study employed a predictive cross-sectional associative strategy and included a sample of 571 university students from Juliaca, with an average age of 20 (M = 20.23), of whom 74.4% were male. The Maslach Burnout Inventory Student Survey (MBI-SS), the Connor Davidson Resilience Scale (CD-RISC 10), and the Psychological Well-being Scale (PWB) were used. The results indicate that the variables academic Burnout (β = −0.376; p < 0.001) and Resilience (β = 0.187; p < 0.001) together explain 23.9 % of the variance in psychological well-being. It is concluded that academic Burnout and Resilience are significant predictors of psychological well-being in university students. Specifically, it was found that cynicism and ineffectiveness dimensions are negative factors for well-being, while exhaustion and age were not predictive.