Rooyesh-e- Ravanshenasi Journal(RRJ)

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Rumination, as a maladaptive cognitive strategy, is effective in various disorders such as depression. The aim of this study was to investigate the effect of rumination as a mediator in the relationship between anxious and avoidant insecure attachment with depression. In the study, 120 people with depressive disorders, obsessive-compulsive disorder, and anxiety were selected Purposefully from Mehr Hospital. The respondents answered the Rumination Response Scale (Nolen-Hoeksema, & Morrow, 1991), Beck Depression Inventory (Beck et al., 1961), and the Experiences in Close Relationship Questionnaire (Brennan et al., 1998). Data analysis was performed using structural equation modeling. The results showed that rumination significantly mediated the relationship between anxious attachment and depression. In this study, the relationship between rumination and avoidant attachment was not confirmed. Based on the results of the study, anxious attachment style can play a role in the formation of depression by affecting the amount of rumination.

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This research aimed to predict mental fatigue based on avoidant attachment style and self-management and dysfunctional functioning in couples referring to clinics in Tehran. The current research is part of applied research in terms of its purpose and terms of descriptive-correlational methods. The statistical population in this research included all couples who were referred to psychological and counseling clinics in the 6th and 7th regions of Tehran in 2021, from which 186 couples were selected by purposive sampling. The tools of this research included Pines Marital Burnout (CBM, 1996), Collins and Reed Attachment Questionnaire (RAAS, 1990), and Young's Primary Maladaptive Schemas Questionnaire (YSQ-SF, 2005). The method of data analysis was simultaneous regression analysis. The findings showed that there is a significant relationship between avoidant attachment style and self-management with mental fatigue (p<0.05). It is concluded that avoidant attachment, self-management, and dysfunctional performance play an essential role in predicting mental fatigue and explain 17.1% of the variance of mental fatigue.