Predictive factors of burnout syndrome in nursing students at a public university

Abstract

Abstract Objective: To identify the prevalence and analyze the existence of predictive factors of burnout syndrome in nursing students of a public university unit. Method: A quantitative, descriptive, and cross-sectional study. Data were collected from two instruments: a sociodemographic instrument and the Maslach Burnout Inventory - Student Survey. Simple and multiple logistic regression models were adjusted to assess the association between variables. Results: There were 100 students who participated in the research, of which 20% presented burnout syndrome. Second (p = 0.036) and third year students (p = 0.046), those using medication (p = 0.002) and those considering dropping out (p = 0.001) were significantly associated with burnout. Only students who were thinking of dropping out of the course (p = 0.025) maintained a significant association in the multiple logistic regression model, which means that the probability of an individual from the population from which the sample was extracted presenting burnout syndrome was higher in this variable. Conclusion: The burnout syndrome prevalence corresponded to 20%. The predictors of burnout were: second and third years of the course, use of medication and thinking of dropping out from the course.