Malihe Abedzadeh Ymi; mahmood jajarmi; kaveh hojjat
Abstract
Objective: The theory of behavioral brain systems states that the level of activity of this system is associated with a wide range of emotional disorders, including depression and anxiety. The aim of this study was to investigate the depression of MS patients based on behavioral brain systems mediated ...
Read More
Objective: The theory of behavioral brain systems states that the level of activity of this system is associated with a wide range of emotional disorders, including depression and anxiety. The aim of this study was to investigate the depression of MS patients based on behavioral brain systems mediated by cognitive flexibility, cognitive avoidance in the form of causal model. Method: This study was a correlational study using structural equation modeling.The statistical population includes all MS patients. They were from Mashhad and the samples were selected by available sampling method. The instruments used in this study included Beck Depression Inventory (1972), Carver & White (1994) Behavioral Brain Questionnaire, Dennis Wonderwall (2010) Cognitive Flexibility, and Sexton and Dagas (2004) Cognitive Avoidance Questionnaire. Structural modeling and Amos21 and SPSS21 software were used to analyze the data. Findings: The results showed that the activating behavioral brain system and cognitive flexibility have a negative and significant relationship with depression. Cognitive avoidance behavioral brain system has a positive and significant relationship with depression. Conclusion: The results show that the standardized indirect effect of activating behavioral system on depression is significant and the inhibitory system has cognitive avoidance on cognitive avoidance indirectly due to cognitive flexibility. Negative activator and inhibitory behavioral system can positively predict depression
A
Shokouh Esnaashari; Shahram Mohammadkhani; Hamidreza Hassanabadi
Volume 6, Issue 21 , May 2017, , Pages 66-85
Abstract
Introduction: The purpose of present study was investigating cognitive model of anxiety according to Dugas’s model about anxiety cognitive components in cancer patients. In this model cognitive variables such as intolerance of uncertainty, positive beliefs about worry, cognitive avoidance, negative ...
Read More
Introduction: The purpose of present study was investigating cognitive model of anxiety according to Dugas’s model about anxiety cognitive components in cancer patients. In this model cognitive variables such as intolerance of uncertainty, positive beliefs about worry, cognitive avoidance, negative problem orientation and their direct and indirect effects on worry and anxiety as structural and measurement were investigated. Method: Three hundred of cancer patients was selected from a hospital and chemotherapy clinic in Isfahan city. They were evaluated with intolerance of uncertainty scale, metacognitive questionnaire (positive beliefs about worry subscale), cognitive avoidance scale, negative problem orientation questionnaire, Pen State worry questionnaire and state- trait anxiety inventory. Data of research examined through structural equation modeling. Results: The results show that this model had good fit for cancer patients and relations between mediator variables, Endo and Exo variables are significant. Conclusion: significant variance of worry and anxiety are explained by this model in cancer patients.
A
Seyfullah Aghajani; HAMIDREZA SAMADIFARD; Mohammad Narimani
Volume 6, Issue 21 , May 2017, , Pages 142-156
Abstract
Objective: Diabetes is one of the most common diseases in Iran and the world. It is chronic, progressive and expensive and creates many complications. This study aimed to investigate the role of cognitive avoidance components and metacognitive belief in the prediction of quality of life in diabetic patients. ...
Read More
Objective: Diabetes is one of the most common diseases in Iran and the world. It is chronic, progressive and expensive and creates many complications. This study aimed to investigate the role of cognitive avoidance components and metacognitive belief in the prediction of quality of life in diabetic patients. Methods: The study was based on a descriptive correlational method. Statistical population consisted of all patients with type 2 diabetes in Ardabil city in 2015. 124 diabetic patients were selected as the statistical sample using the convenience sampling. Data were collected through Dugas and Sextons cognitive avoidance scale (2008), Wells metacognitive belief scale (2004) and the world health organization quality of Life Scale (1996). Research data were analyzed by Pearson correlation coefficient and multiple regression methods. Results: The results showed that there is a significant negative relationship between cognitive avoidance components and metacognitive belief with quality of life in diabetic patients (p < 0.05). Beta coefficients for predictor variables indicated that thoughts repression -0.16, thoughts succession -0.20, avoidance of threatening stimuli -0.22, changing image to thought -0.24 and metacognitive belief -0.12 have significantly predictive capability of Quality of Life in Diabetic Patients (p < 0.05). Conclusion: Thus, it can be concluded that cognitive avoidance components and metacognitive belief are considered the predicting variables related to quality of life in diabetic patients.