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Showing 2 results for Rumination

Mahabat Veisi, Anvar Dastbaz, Barzan Soleimani,
Volume 11, Issue 1 (5-2023)
Abstract

The present research aims to formulate a structural model of teacher job burnout based on cognitive distortions and Rumination, with the mediating roles of  Negative Automatic Thoughts and cognitive fusion. This study falls within the realm of descriptive research and structural equation modeling. The study's population included all middle school teachers in the city of Kamyaran during the academic year 2022-2023, with 323 individuals selected through the available sampling method. Data were collected using the Hollon & Kendall automatic thoughts Questionnaire, the Gillanders Et al Standard Cognitive Fusion Questionnaire, the Maslach & Jackson Burnout Questionnaire, the Nolen-Hoeksema Et al Rumination Questionnaire, and the Abdollahzadeh & Salar Cognitive Distortions Questionnaire. The findings of this research indicate that the structural model of teacher job burnout, based on cognitive distortions and Rumination, with the mediating roles of Negative Automatic Thoughts and cognitive fusion, has a good fit. The standardized path coefficients of the direct paths of the model from Rumination (t = 2.38), cognitive distortions (t = 3.72), cognitive fusion (t = 2.34), and Negative Automatic Thoughts (t = 2.21) to teacher job burnout were significant. Bootstrap test results showed that the indirect effect of Rumination on job burnout with the mediating role of cognitive fusion is significant (β = 0.082). The indirect effect of Rumination on job burnout with the mediating role of  Negative Automatic Thoughts is significant (β = 0.110). Similarly, the indirect effect of cognitive distortions on job burnout with the mediating role of cognitive fusion is significant (β = 0.085). The indirect effect of cognitive distortions on job burnout with the mediating role of Negative Automatic Thoughts is also significant (β = 0.061). Based on the results of this research, it seems that improving and changing cognitive distortions and Rumination provide a foundation for changing Negative Automatic Thoughts and cognitive fusion, ultimately reducing the level of teacher job burnout.
 
Mojtaba Pooragha, Samereh Asadi Majareh,
Volume 13, Issue 4 (3-2026)
Abstract

The present study aimed to predict rumination based on cognitive and cognitive-emotional processes, with particular emphasis on the roles of cognitive flexibility, emotional schemas, and emotional self-efficacy among female university students. This descriptive-correlational study employed a predictive research design. The statistical population consisted of all female students at the Rasht Branch of Islamic Azad University during the second semester of the 2024–2025 academic year, from whom 400 participants were selected through convenience sampling. Data were collected using the Leahy Emotional Schema Scale (LESS), the Cognitive Flexibility Inventory (CFI) developed by Dennis and Vander Wal, the Emotional Self-Efficacy Scale developed by Hosseinchari et al., and the Ruminative Responses Scale (RRS) developed by Nolen-Hoeksema and Morrow. Data analysis was conducted using Pearson's correlation coefficient and stepwise multiple regression analysis. The findings indicated a significant positive relationship between emotional schemas and rumination, whereas cognitive flexibility and emotional self-efficacy were significantly and negatively associated with rumination . Furthermore, the results of the stepwise regression analysis revealed that the components of control, guilt, perception of alternative options, simplification of emotions, blaming others, and lack of control jointly explained 61% of the variance in rumination. Among these variables, the control component, as a dimension of cognitive flexibility, emerged as the strongest predictor of rumination. Overall, the findings suggest that cognitive and cognitive-emotional processes play a fundamental role in explaining rumination, and that variables related to cognitive control, emotional processing, and emotional self-efficacy are among its most important predictors. Accordingly, enhancing cognitive flexibility, modifying maladaptive emotional schemas, and strengthening emotional self-efficacy may serve as key targets for cognitive and cognitive-behavioral interventions aimed at reducing rumination and promoting the mental health of university students.



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