Objectives Generalized anxiety disorder and depression, one of the common problems in childhood and adulthood is associated with many problems in the field of health. This study aimed to investigate the mediating role of rumination in the relationship among Intolerance of Uncertainty (IU) and symptoms of depression and General Anxiety Disorder (GAD). Methods In this descriptive correlational study, a sample of 250 students from Iran University of Medical Sciences were selected using cluster sampling method. The participants responded to intolerance of uncertainty scale and rumination scale, Generalized Anxiety Disorder Questionnaire Inventory-revised (GAD-Q-IV), and Beck depression inventory. The obtained data were analyzed using Structural Equation Modeling (SEM). For statistical analysis, SPSS V. 22 and LISREL 85.9 were used to classify, process, and analyze the data and to investigate the hypotheses of the research. Results The evaluation of hypothetical model with fit indexes demonstrated that the hypothetical model fits the measurement model (CFI=0.98, NFI=0.96, and RMSEA=0.060). Structural relations analysis also indicated intolerance of uncertainty indirectly through rumination over depression and directly and indirectly general anxiety disorder. Conclusion Thus, based on the current research findings, rumination has a mediating role in relationship between intolerance of uncertainty and symptoms of depression and general anxiety disorder. Considering these dimensions, the employed mechanisms can be useful in developing efficacious preventive and therapeutic interventions for depression.

Background & aim: Affective and Emotional Composite Temperament (AFECT) model Poses a combination of affective and emotional temperament structures with clinical applications, psychological-biological and treatment of mental disorders. The aim of current study was to investigate the role of the AFECT model in predicting the symptoms of social anxiety disorder (SAD) in students. Methods: In a descriptive correlational investigation, all students studying in the academic year 2013-2014 at Azarbaijan Shahid Madani University were included in statistical population, of which 400 were selected using stratified cluster sampling method. Selected students were assessed using scale combined with emotional temperament and the Fear Savory Scale-III questionnaire. Data were analyzed using Pearson correlation coefficient and multiple regression analysis by Spss-16 and Lisrel-8.5. Results: The results showed that dimensions of emotional coping, volition, sensitivity and fear (p<0.01), dimension of anger (p<0.05), and dimensions of affective depressive, anxious, apathetic, cyclothymic, dysphoric, volatile, and hyperthymic (p<0.01), dimension of euthymic (p=0.03) and dimension of disinhibited (p=0.01) model Affective and Emotional Composite Temperament model are significantly associated with symptoms of social anxiety disorder. The results of the multiple regression analysis confirmed that dimensions of emotional temperament volition and fear (p=0.01) sensitivity dimension (p=0.001) and dimensions of affective temperament anxious and hyperthymic (p=0.001) can significantly predict the symptoms of social anxiety disorder. Conclusion: Considering that some dimensions of affective and emotional composite Temperament (AFECT) model can predict the symptoms of social anxiety disorder indicating that this model can be used in clinical interventions.