Predicting of Job Burnout Based On subjective well-being, psychological capital, demand and resources job in nurses

Nursing is one of the most stressful jobs related to medicine and health, therefore, detecting the variables related to job burnout of nurses due to is stressfulness is of high importance. The purpose of this research was to predict Job burnout Based On subjective well-being, psychological capital, demand and resources job in nurses. The population of the study consisted of all nurses working in hospitals in Qazvin city and Research sample consisted of 180 nurses selected through random sampling. Questionnaire to collect data for the study of Diener, Emmons, Larsen and Griffin subjective well-being scale (SWS), Luthans psychological capital scale (PCS), Bakker demand (JDS) and resources job scale (JRS) and Maslach Job Burnout Inventory responded (MBI). Data using correlation coefficient and multiple regression methods were analyzed. The results showed that subjective well-being and burnout (p<001, r=-0/185), psychological capital and Job burnout (p<001, r=-0/213) and resources job and Job burnout (p<001, r=-0/249) there was a significant negative correlation and demand job and Job burnout (p<001, r=0/256) there was a significant positive correlation. Also, the results of the multivariate regression analysis showed that the variables subjective well-being, psychological capital, demand and resources job were able to explain 26% of the variance of Job burnout. According to the results of the study, it is suggested that mental health professionals and managers involved in this area reduce the Job burnout of nurses' work on the role of practice of subjective well-being, psychological capital, demand and resources job.