Volume 29, Issue 103 (December 2016)                   IJN 2016, 29(103): 13-23 | Back to browse issues page

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1- MA of General Psychology, Department of Psychology, Urmia Branch, Islamic Azad University, Urmia, Iran
2- Associate Professor, Department of Psychology, Urmia Branch, Islamic Azad University, Urmia, Iran. (Corresponding author). Tel: +98 914 3409171 E-mail: a.zeinali@iaurmia.ac.ir
Abstract:   (8160 Views)


Background & Aim: Psychological variables play an important role in job burnout of nurses. This research aimed to investigate the relationship of some variables such as perceived social support, social capital and quality of life with job burnout of nurses.

Materials & Methods: This is a descriptive analytical study of correlation type. The statistical population of this research was include all nurses in hospitals Affiliated to Urmia University of Medical Sciences, Urmia, Iran in 2015. For this research, 290 nurses (33 male and 257 female) were selected using cluster randomly sampling method. All of them completed the questionnaires of perceived social support, social capital, quality of life and job burnout. Data were analyzed by method of Pearson correlation and multivariate regression with enter model methods and with using the SPSS-19 software.

Results: Perceived social support (r=-0/619), social capital (r=-0/462) and quality of life (r=-0/590) had a negative significant relationship with job burnout of nurses (P<0/05). In a predicted model the variables of perceived social support, social capital and quality of life significantly can predict 42/6 percent of variance of job burnout among nurses. The share of perceived social support was higher than other variables in predicting the job burnout of nurses.

Conclusion: According to the findings of present research the variables of perceived social support, social capital and quality of life had a negative significant relationship with job burnout of nurses. Therefore it is recommended that authorities focus on these variables in design of programs for decrease the job burnout of nurses.

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Type of Study: Research | Subject: nursing
Received: 2016/09/6 | Accepted: 2016/12/8 | Published: 2016/12/8

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