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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.

We used the affective profiles model to investigate individual differences in motivation, stress and energy. The aim was to replicate past findings, but we also focused on matched comparisons within individuals with affective profiles that are similar in one affective dimension and differ in the other in order to predict changes when individuals increase/decrease their experience of positive or negative affect. Methods: <span class="fontstyle2">A total of 567 participants answered the Positive Affect and Negative Affect Schedule, which was used for affective profiling; the Situational Motivation Scale, which measures intrinsic motivation, identified regulation, external regulation, and amotivation; and the Stress-Energy questionnaire. Results: <span class="fontstyle2">Comparisons between the four different profiles, replicating the past findings, showed that individuals with high affective and self-fulfilling profile scored highest in intrinsic motivation, identified regulation, and energy, while they scored lowest in external motivation, amotivation, and the self-fulfilling profile, also lowest in stress. Additionally, the matched comparisons showed, for example, that levels of intrinsic motivation increase when negative affect levels decrease, and positive affect is kept high when positive affect decreases and negative affect is kept low. Conclusions: One important feature of the affective profiles model is the possibility to compare individuals that are similar in one affect dimension but differ in the other (Garcia, 2011, 2017). This way of discussing individual differences helps to predict what changes could be expected when individuals increase or decrease their experience of positive or negative affect. Importantly, the direction of these changes cannot be addressed from cross-sectional data

Objective: The main aim of this research was to investigate the effects of quality of life therapy on increasing the coping ability with stressful situations, reducing anxiety and irrational fears in at risk workers of electricity distribution companies in Isfahan. Method: This research was of semi-experimental with pre-test, post-test and follow-up with the control group. Population were consisted of 250 at risk workers of Isfahan Electricity Distribution Company. Five people were randomly selected from each unit, and a total of 40 people were randomly assigned to the experimental and control groups. The experimental group participated in 90 minutes’ sessions of quality of life improvement training for 8 weeks, held at the New Technology Park of Isfahan Electricity Distribution company. Experimental group was compared with a waiting control group. measurement tools were consisted of Endler and Parker Coping Inventory for Stressful Situations (CISS) and Mental Disorders Symptoms Checklist (SCL-90-R) that were administered on at risk workers in the pre-test, post-test and follow-up phases. Repeated measure analysis of variance was used to analyze the data. Results: Data analysis showed that the intervention sessions had a significant effect on the all scales of coping with stressful situations, anxiety and irrational fears in the experimental group in the post-test and follow-up stages. Conclusion: The results indicate that psychotherapy based on improvement of quality of life was effective on tranquility, mental health and the quality of life of at risk workers in Isfahan electricity distribution company.