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Objective: This study aimed to find out anxiety and depression among tertiary level students in Bangladesh during COVID-19 outbreak. Method: The online survey design was used in this study. To measure anxiety and depression, the Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) scales were used. Binary logistic regression was performed to assess the impact of several factors on the likelihood that respondents would report that they had a problem with anxiety and depression. Results: The strongest predictor of binary logistic regression of reporting anxiety was gender (OR: 2.848; 95% CI; 1.836-4.417; p < .001) indicating female students had about 2.9 times more likely to report anxiety than male students controlling for all other factors. The duration of using social media (OR: 0.567; 95% CI; 0.329-0.978; p < 0.05) was also affecting the level of anxiety of the students. Depression was getting affected by the present living place (OR: 0.507; 95% CI; 0.316-0.814; p=.005). Conclusion: This study showed that students were having different level of anxiety and depression. Gender, the present living place and the duration of using social media were the significant factors for anxiety disorder. Depression was also getting affected by the present living place and the duration of using social media.

Objective: Due to unpleasant consequences of depression in patients suffering from cardiac diseases, such as increase in mortality rate during the first year, especially after undergoing a surgery; this study addresses structural relationships between cognitive and behavioral variables including illness perception and coping strategies in predicting depression after undergoing Coronary Artery Bypass Grafting (CABG) and Percutaneous Coronary Intervention (PCI). Besides, one of the cognitive models for assessing psychological adaptation with chronic medical diseases was outlined for the first time. Method: The sample comprised 245 coronary patients confronted with the diagnosis for the first time, who had undergone PCI and CABG interventions. They were chosen and interviewed through convenience sampling following one month of initiating treatment process. For this purpose, Beck Depression Inventory for Primary Care (BDI-PC), Coping Inventory for Stressful Situations (CISS-21) and the short format of Disease Perception Questionnaire were administered. Data was analyzed using structural equations modeling (LISREL software). Results: findings indicated that applying emotion-focused coping strategies determined 40% of depression variance in these patients, whereas problem-focused strategies determined 4.5% of it and avoidant coping strategy didn’t have a significant role in depression. On the other hand, illness perception as a cognitive variable, could directly determine 26% of depression and 4.5% of it through emotion-focused strategies and 0.25% by means of problem-focused strategies. Also illness perception, could meaningfully determine 50% of emotion-focused coping variance, 7% of problem-focused variance and 8% of avoidance variance. Conclusion: Overall results of this study supported Leventhal’s theoretical model of self-regulation and verified the role of cognitive variables (illness perception) and behavioral ones (coping strategy) in emerging depression. Therefore it is recommended that much attention be drawn to the process of developing patient’s illness perception through personal or group trainings and if necessary, offering effective cognitive and behavioral treatments by practitioners.

The present study was conducted to evaluate the effectiveness of cognitive therapy on emotional distress and stress coping strategies in patients with Multiple Sclerosis. The design of study was semi-experimental with pre and post-test, with a control group. The participants were 30 patients with Multiple Sclerosis living in Tehran who were randomly assigned in the experimental and control groups. The data was gathered by Stress Coping Strategies Questionnaire, and Depression, Anxiety, and Stress Scale. The experimental group participated in 12 sessions of cognitive therapy, while the control group received no help. Results of Multivariate Covariance Analysis confirmed the effectiveness of cognitive therapy on improvement of anxiety, depression, and stress coping strategies in patients suffering MS (P

Background & Objective: The majority of cancer patients have a poor quality of life. It seems mindfulness-based cognitive group therapy can improve quality of life in these patients. Therefore this study was conducted with the purpose of evaluating the effectiveness of mindfulness-based cognitive group therapy in improving quality of life among patients with cancer. Materials & Methods: This study was a quasi-experimental research conducted by pre- and post-testing. The sample population consisted of 30 cancer patients selected by purposive sampling and randomly placed in two groups of experimental and control (15 individuals per group). All subjects completed the quality of life questionnaire in the two stages of pre-test and post-test. The findings were analyzed by the SPSS software and multivariate analysis of covariance tests. Results: The results showed that there is a significant difference between the control and the experimental group and that mindfulness-based cognitive group therapy had a significant effect in improving quality of life in the members of the experimental group (p< 0/01). Conclusion: According to the results, it can be proposed that it is necessary for therapeutic centers and support forums related to refractory patients to use mindfulness-based cognitive group therapy in their plans to improve patients’ quality of life.