درخت حوزه‌های تخصصی

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: this study aimed to compare the effectiveness of cognitive behavioral based stress management training and positive therapy on self-regulation behaviors of females with primary hypertension. Method: In this semi-experimental study with pretest-posttest and control group, 48 women with primary hypertension were randomized in control (n = 16), positive therapy (n = 16) and stress management (n = 16) groups. All participants completed standard self-regulation behaviors questionnaire before and after interventions. The intervention groups received cognitive-behavioral based stress management training program for eight sessions. The control group did not receive any intervention during research. Data were analyzed using SPSS software and descriptive and inferential statistical methods (ANCOVA). Results: The findings indicated level of self-regulatory behaviors significantly increased in the intervention groups in compare to control group (P> 0.05). Comparison of intervention group revealed superior effectiveness of cognitive-behavioral based stress management program versus positive therapy (Mean difference=28.13, P>0.05) Conclusion: cognitive-behavioral stress management training and positive therapy are effective on the self-regulation behaviors of women with primary hypertension. Improvement of self-regulation behaviors through psychological programs such as cognitive-behavioral stress management training and positive therapy reduce the burden of disease and enhance treatment adherence.

Objective: The outbreak of Coronavirus disease 2019, as an epidemic widespread disease has led people to physical and psychological problems as well. Recent studies about the psychological effects of COVID-19 has shown that, health anxiety and also negative emotions due to COVID-19 epidemic, has influenced patient’s health both physically and mentally. This study aimed to survey the psychopathology and personality psychopathology profile of cured patients of COVID-19 disease and also the important factors related to infectious and recovering process of patients in Iran. Method: 30 cured patients of COVID-19 were chosen randomly and voluntarily, and answered the Minnesota Multiphasic Personality Inventory- 2nd restructured form (MMPI-2-rf) questionnaire. Results: The study showed that cured patients of COVID-19 are normal in psychopathology and personality psychopathology scales of MMPI-2-rf. As there were no observed abnormality in psychopathology and personality psychopathology profile of patients. The study also showed that cured patients of COVID-19 disease suffer from somatic/cognitive problems such as head pain, gastrointestinal and neurological problems. Conclusion: Anxiety, depression, negative emotions and also low positive emotions are important factors in not only the infectious but also the recovering process of COVID-19 disease. As the negative emotions and fears are important factors in infectious to COVID-19, Self-Control and normality in the psychopathological profile are important factors in recovering process. Keywords: COVID-19, Psychopathology, Personality Psychopathology, Profile, MMPI-2-rf

Objective: This study aimed to model quality of life based on perceived stress and distress tolerance of the elderly in Ilam: The mediating role of hardiness. This applicable study conducted through descriptive-structural equation modeling. Method: The statistical population was elderly people of Ilam city (N=9496) during 2020. The sample size calculated using Power-G software (2007) as 384 cases. The sample selected by aim oriented sampling method based on inclusion criteria in public places of Ilam city. Participants completed the standard questionnaires of the quality of life World Health Organization (1996), Cohen Perceived Stress (1994), Distress Tolerance Scale of Simmons and Gohar (2005), and the Kobasa hardiness Questionnaire (1982). Data analyzed in SPSS25 and Amos -25 software. Results: The results showed that there is a significant relationship between perceived stress, distress tolerance, and hardiness with the quality of life of the elderly in Ilam city. Similarly, there is a significant relationship between perceived stress and distress tolerance with Hardiness. Conclusion: The results of the structural equation model showed hardiness has a mediating role in the relationship between quality of life with distress tolerance and perceived stress. They have a total, direct, and indirect effect on variables

Aims: We investigated gender differences among adolescents in quality of sleep, psychophysiological problems, dream frequency, emotional states, and personality traits and also if the effect of quality of sleep on psychophysiological problems, dream frequency, emotional states, and personality traits was moderated by gender. Method: High school pupils (n1 = 155, n2 = 142, and n3 = 325) responded to the Uppsala Sleep Inventory, the Positive Affect Negative Affect Schedule, Beck’s Depression Inventory, the Type A-Personality Scale, and the Temperament and Character Inventory. Gender differences were investigated using Multivariate Analyses of Variance and moderation using multi-group Structural Equation Modeling. Results: Girls scored higher in major sleep problems, difficulties falling asleep, night awakenings, psychophysiological problems, dream frequency, negative affect, depression, stress, and Type A-personality. Boys scored higher in novelty seeking, harm avoidance, and persistence. Girls’ quality of sleep was related to their psychophysiological problems, dream frequency, positive affect, negative affect, stress, novelty seeking, reward dependence, persistence, and self-directedness. Boys’ quality of sleep was related to their psychophysiological problems, negative affect, stress, Type A-personality, novelty seeking, harm avoidance, reward dependence, and self-directedness. Conclusion: Girls showed the unhealthiest sleep-psychophysiological-emotional-personality profile. For both genders, good quality of sleep or “beauty sleep” might result in less psychophysiological problems, less negative affect, less stress, less novelty seeking, and less self-directedness. However, for boys, “sleeping beauty” comprises less Type A-behaviour, ss harm avoidance, and more reward dependence; while for girls “sleeping beauty” comprises less frequency of vivid dreams, more positive affect, less reward dependence, and more persistent behaviour.

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.

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.

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 present study aimed to predict corona disease anxiety among medical staff in Tehran based on five-factor theory of personality. Method: In the present descriptive and correlational study, the statistical population included all medical staff in Tehran in 2020, among which 210 physicians, nurse, and other medical staffs were selected based on snowball sampling method. The instruments included Neo-Five Factor Inventory (NEO-FFI), Corona Disease Anxiety Scale (CDAS). Data were analyzed using Pearson’s correlation and Multiple Regression Analysis. Findings: Regression analysis indicated significantly Beta coefficients for openness personality traits (-0.238) and conscientiousness personality traits (-0.249). a statistically significant correlation is observed between openness (39%), neuroticism (-39%), extraversion (37%), conscientiousness (34%), and agreeableness (25%) with coronavirus anxiety at the 99% confidence level. Further, the correlation between each of the dimensions and the mental component of coronavirus anxiety is more compared to that of physical one. Conclusion: Based on the results of multiple regression analysis, the micro-components of openness and conscientiousness could predict the level of total coronavirus anxiety. Considering standard coefficients, conscientiousness plays a more important role in predicting the level of total coronavirus anxiety in medical staffs, which decreases by increasing openness and conscientiousness. Medical staff who are higher in openness and conscientiousness personality traits are lower in corona disease anxiety.