Prediction of Occupational Burnout Based On Job Satisfaction, Personality Traits and Mental Health

Professional burnout is one of the main factors that lead to decreased efficiency, loss of human power, and psycho-physical problems.. This study aimed at investigating the relationship between burnout and job satisfaction, personality variables, and mental health among nurses.
This applied research was a correlational study. A sample of 240 Lahijan county nurses were selected through random systematic sampling. For data collection, job burnout questionnaire Maslach and Jackson, Neo-Five Factor Personality Inventory, General Health Questionnaire, and Job Satisfaction Questionnaire were used. Convergent validity of these tools was 0.73, 0.68, 0.75, and 0.74, respectively, and Cronbach's alpha coefficient of reliability was 0.89, 0.93, 0.85, and 0.93, respectively. Finally, data was analyzed with Pearson correlation and multivariate regression using SPSS version 21.
The results showed that job satisfaction predictors of job burnout (β = 0.24 and P > 0.002) also revealed significant correlation between mental health and job burnout (P > 0.05) and between job satisfaction and burnout relationship (P > 0.05). However, there was no relationship between variables of job burnout and personality traits (P > 0.19).
Therefore, it could be concluded that mental health may increase burnout, yet different aspects of personality and character is unable to predict burnout. Also, according to the findings, prevention and decrease of job burnout by providing training and skills related to promotion of mental health and job satisfaction is recommended.