Background: Nurses are responsible for maintaining and improving the health and quality of life of patients. Therefore, it is important to assess the quality of life of nurses in order to improve it. Quality of life is affected by many variables and among them burnout, perceived social support and psychological hardiness are the leading ones. This study aimed at predicting the quality of life of nurses based on job burnout, perceived social support and psychological hardiness. Methods: This cross-sectional study was carried out on nurses working in governmental hospitals in Tehran , 2015. Four-hundred nurses were selected by multistage cluster sampling. The instruments were burnout, perceived social support, psychological hardiness and quality of life questionnaires. The data was analyzed using Pearson correlation and multiple regression model simultaneously. Results:The results showed that the burnout and quality of life of the nurses had a significant and negative relationship (r=-0.39) and the perceived social support (r =0.61) and psychological hardiness (r =0.45) had a positive and significant correlation with quality of life of nurses (P<0.01). In a predictive model of burnout, perceived social support and psychological hardiness could predict 59.3 percent of the changes in quality of life (R2=0.593). Conclusion: According to the results, it is suggested that nursing executives, counselors, therapists and policy makers pay attention to the signs and the effects of these variables , and conduct some appropriate programs for improving the quality of life of nurses.
Introduction: General health is one of the important psychological characteristics. The most important variables related to nurses' general health include social capital and organizational citizenship behavior. The present study aimed to investigate the relationship between social capital and organizational citizenship behavior with nurses' general health. Methods: This descriptive, analytical and correlational study was conducted on all nurses of governmental hospitals in west Mazandaran in 2016. Two hundred nurses were selected by the stratified random sampling method and completed the questionnaires of general health, social capital and organizational citizenship behavior. Data were analyzed using Pearson correlation and multiple regression models with a step by step model by the SPSS 19 software. Results: The results showed a negative significant relationship between social capital and organizational citizenship behavior with the nurses' general health. The high score in the general health questionnaire was meant as low in general health. Thus, by increasing social capital and organizational citizenship behavior, the general health of nurses will increase. Also, the variables were able to predict 33.7% of changes in general health of nurses. The share of organizational citizenship behavior was greater than social capital (P < 0.01). Conclusions: It is suggested that planners, counselors, and therapists take care about the signs of the variables of organizational citizenship behavior and social capital, and then design and implement appropriate programs to improve the general health of nurses.
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