Background Burnout is a pervasive issue among medical students, exhibiting a high prevalence that jeopardizes their academic success and may also predispose them to more severe affective disorders such as depression. This study aims to explore the complex relationships between psychological capital (PsyCap), general social support, educational satisfaction, and burnout, and how these factors collectively influence dropout intentions. Methods A non-probabilistic convenience sample was collected through an online survey from first- and second-year medical students at a Faculty of Medicine in Portugal. The survey employed psychometric instruments to measure burnout (BAT-12), social support (F-SozU K-6), PsyCap (CPC-12R), satisfaction with education, and dropout intentions (Screening Instrument for Students At-Risk of Dropping Out). Structural equation modeling was applied to analyze the data from 351 participants. Results The model demonstrated a significant positive association between burnout and dropout intentions ( = 0.37; p < 0.001), underscoring burnout as a direct correlate of dropout intentions alongside educational satisfaction ( = −0.25; p = 0.003) and PsyCap ( = −0.22; p = 0.005). Higher social support is associated with reduced burnout ( = −0.28; p < 0.001) and increased educational satisfaction ( = 0.22; p = 0.002). Limitations The non-probabilistic sampling method prevents the generalization of the findings. The cross-sectional data do not permit the inference of temporal relationships between the studied variables. Conclusions These findings emphasize the importance that burnout may have on dropout intentions, and contribute to the understanding of affective syndromes such as burnout in educational settings.

The authors would like to extend their sincerest gratitude to all the students who participated in the study. Additionally, the authors wish to express their appreciation to the Portuguese National Distributed Computing Infrastructure and acknowledge the

Burnout,Satisfaction with education,Psychological capital,Social support,Medical students,Dropout intention

• Medicina Clínica - Ciências Médicas
• Psicologia - Ciências Sociais

Esta publicação é um output do(s) seguinte(s) projeto(s):

• Modelação Bayesiana de Equações Estruturais: Processamento via GPU, vale a pena?