Role of Thought Action Fusion and Cognitive Emotion Regulation Strategies in Predicting the Job Stress of Psychiatric and Neurology Wards Nurses

Message:
Abstract:
Introduction
Stressful situations are one of the problems of nursing professionals, which can reduce the productivity of nurses. This research was conducted to assess the relationship between cognitive emotion regulation styles and thought action fusion, and job stress in nurses.
Methods
This research was a descriptive correlation study. The statistical sample of the present study included 246 nurses, who were working in psychiatric and neurology wards of western and east Azerbaijan and Ardabil in 2015 years. Samples were selected through sSimple random sampling. The Garnefski Cognitive Emotion Regulation (CERQ-short), Rachman Thought-Action Fusion, and Health and Safety Executive job stress (HSE) questionnaires were used for the data collection. The data was analyzed by Pearson correlation coefficient and multiple regression analysis. P values of less than 0.05 were considered significant.
Results
The results of multi-variable correlation coefficient with enter method indicated that cognitive emotion regulation strategies had a role in explaining job stress (R2 = 28%); thought-action fusion factors also had an (R2 of = 54.7%). There was a positive relationship between nurse's job stress and catastrophizing strategies (r = 0.380), responsibility for positive thoughts (r = 0.675) and responsibility for harm avoidance thoughts (r = 0.578) but a negative relationship with acceptance (r = -0.222), positive refocus (r = -0.263) and refocus on planning strategies (r = -0.323) was found.
Conclusions
The results indicated a correlation between the TAF and maladaptive strategies, and job stress. Thus, it is suggested that nurses should develop logical cognitive beliefs and effective emotion regulation strategies to reduce their amount of professional stress.
Language:
Persian
Published:
Iranian Journal of Nursing Research, Volume:11 Issue: 43, 2016
Pages:
1 to 10
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