Introduction: Studies in recent years indicate that social support is one of the important factors influencing burnout. However, only few studies have investigated predictors of burnout on perceived social support.

Aim: The present study was examined the relationship between perceived social support components and components of burnout and the predictors for that was assessed among nurses.

Methods: The study was descriptive – correlation. The population in this study included all women nurses who working in teaching hospitals of Khorramabad in 2013.They were selected stratified randomly. For data gathering were used Perceived Social Support Questionnaires Zimet and et.,al (1988) and the Maslach Burnout (1996). The reliability of the questionnaire perceived social support was 0.62, and the internal reliability coefficient alpha for Burnout Inventory were between 0.71 – 0.90. The data collected were analyzed with correlation coefficient and regression analysis by using SPSS16 software.

Results: Multiple regression results showed that 29% of the variance of burnout could be predict by perceived social support family member and friends had a vital role in burnout as social support resources. In fact, these resources had significant contribution to predict burnout, but another social support resource "significant other", had no significant contribution to the prediction of staff nurse burnout.

Conclusion: In regarding to social support impact on reducing staff nurse burnout is inevitable so creating strong support systems in occupational environments and outside of it as an effective way to prevent burnout is considered.

Introduction: Studies in recent years indicate that social support is one of the important factors influencing burnout. However, only few studies have investigated predictors of burnout on perceived social support.

Aim: The present study was examined the relationship between perceived social support components and components of burnout and the predictors for that was assessed among nurses.

Methods: The study was descriptive – correlation. The population in this study included all women nurses who working in teaching hospitals of Khorramabad in 2013.They were selected stratified randomly. For data gathering were used Perceived Social Support Questionnaires Zimet and et.,al (1988) and the Maslach Burnout (1996). The reliability of the questionnaire perceived social support was 0.62, and the internal reliability coefficient alpha for Burnout Inventory were between 0.71 – 0.90. The data collected were analyzed with correlation coefficient and regression analysis by using SPSS16 software.

Results: Multiple regression results showed that 29% of the variance of burnout could be predict by perceived social support family member and friends had a vital role in burnout as social support resources. In fact, these resources had significant contribution to predict burnout, but another social support resource "significant other", had no significant contribution to the prediction of staff nurse burnout.

Conclusion: In regarding to social support impact on reducing staff nurse burnout is inevitable so creating strong support systems in occupational environments and outside of it as an effective way to prevent burnout is considered.