RESUMO
There is abundant literature suggesting that university students in helping professions experience high levels of stress, leading to an increased risk of developing burnout. The objective of this study was to identify burnout profiles in a sample of 1162 Spanish nursing and psychology undergraduates using latent profile analysis, a person-oriented statistical method that can identify hidden homogenous subgroups within a heterogeneous population. We expected to replicate in university students the five-profile structure (burnout, overextended, disengaged, ineffective, and engagement) proposed by Leiter and Maslach using the burnout dimensions (emotional exhaustion, cynicism, and inefficacy) as indicators. The results showed that burnout, overextended, and engagement profiles were adequately replicated. Given that levels of inefficacy and cynicism were medium to low, the ineffective and disengaged profiles somewhat deviated from those identified by Leiter and Maslach. We found differences between the five latent profiles in several psychological variables, such as depression and anxiety. These results suggest that psychosocial factors (e.g., workload) are significant among students and may adversely impact their health, leading to psychosomatic and emotional disorders. Hence, designing effective interventions to prevent health problems associated with burnout seems advisable, considering the specific burnout profile that a student exhibits.
RESUMO
Objective: To determine levels of burnout among surgical area nurses in Andalusia (Spain), to identify the phase of burnout in each participant and to consider its relationship with sociodemographic, occupational variables and personality factors considered. Data source: Data were collected by means of questionary. All nurses working in the surgical area on the date of data collection participated in the study. Sociodemographic and related to work variables were addressed in the questionnaire. Symptoms of anxiety and depression were measured using the Educational-Clinical Questionnaire: Anxiety and Depression (CECAD). Psychological personality variables were assessed using the NEO Five-Factor Inventory (NEO-FFI), adapted for a Spanish population. Burnout was measured using the Maslach Burnout Inventory (MBI). Study design: Multicentre, cross-sectional, quantitative study carried out from August to October 2021. Data analysis: Descriptive analysis, Student's t-test for independent samples, Pearson's correlation and multiple linear regression were performed with SPSS 25.0. Data extraction methods: The study sample consisted of 214 surgical area nurses at 23 hospitals in Andalusia (Spain). Sociodemographic, occupational and personality variables were studied using the Maslach Burnout Inventory, the NEO Five-Factor Inventory (NEO-FFI) and the Educational-Clinical Questionnaire: Anxiety and Depression. The STROBE statement guidelines were applied. Principal findings: 29.4% of the nurses in the sample presented high levels of emotional exhaustion, 25.7% suffered from depersonalization and 28% had low levels of personal accomplishment. These three dimensions were significantly correlated with the NEO-FFI subscales (neuroticism, agreeableness, openness, conscientiousness and extraversion), and with all the anxiety and depression items considered. Agreeableness was a statistically significant predictor (p < 0.001) for all three dimensions of burnout. Conclusion: Nurses in the surgical area present high levels of Burnout. There is evidence that relates Burnout to personality factors and socio-demographic variables.