Job Stress in Shahrekord University Staff: Predictive Role of Emotional Intelligence and Self-Differentiation
Background: Job stress is one of the common problems in occupational environments. Therefore, the present study aimed to predict job stress in Shahrekord University staff based on emotional intelligence and self-differentiation. Methods: This was a descriptive study. The study population consisted o...
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| Format: | Article |
| Language: | fas |
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Shahid Sadoughi University of Medical Sciences
2018-08-01
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| Series: | بهداشت کار و ارتقای سلامت |
| Subjects: | |
| Online Access: | http://ohhp.ssu.ac.ir/article-1-134-en.html |
| Summary: | Background: Job stress is one of the common problems in occupational environments. Therefore, the present study aimed to predict job stress in Shahrekord University staff based on emotional intelligence and self-differentiation.
Methods: This was a descriptive study. The study population consisted of Shahrekord University staff. A total of 168 staff were selected by convenience sampling and then evaluated using Rice Job Stress, Bar-On Emotional Intelligence, and Skoweron self-differentiation indicators. The data were analyzed by descriptive statistics (mean and standard deviation), Pearson’s correlation coefficient as well as multiple linear regressions.
Results: Pearson’s correlation results showed that a significant negative relationship between emotional intelligence and job Stress (P<0.001, r= - 0.256), and self-differentiation with job stress (P<0.001, r= -0.315). The results of multiple linear regression analysis showed that emotional intelligence (P<0.001, B= - 0.292) and self-differentiation (P<0.001, B= -0.336) are predictive of job stress and explain 15/7% of variation of staff’s job stress.
Conclusion: Regarding the inverse relationship between job stress and emotional intelligence and self-differentiation, by presenting and implementing various management solutions and identifying effective factors in improving the emotional intelligence and differentiation, job stress can be reduced which will lead to increased productivity. |
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| ISSN: | 2588-2643 2588-3062 |