درخت حوزه‌های تخصصی

Background: The Coronavirus not only affects physical health, but the outbreak of this virus can also have devastating psychological effects. To treat and diagnose, these impacts should be identified. This study aimed to investigate the role of Perfectionism and Self-compassion in predicting Coronavirus anxiety. Method: The sample consisted of 292 participants who responded online to the Coronavirus Anxiety Inventory, the Hewitt and Flett Multidimensional Perfectionism Scale (HF-MPS), and Self-Compassion Scale-Short Form (SCS-SF). Data were analyzed by correlation and multiple regression analysis. Results: The results have shown that the dimensions of perfectionism, and Self-compassion, predict Coronavirus anxiety (P <0.001). Also, Mindfulness and Common humanity, from Self-compassion components, could predict Coronavirus anxiety significantly (P <0.001). Conclusion: These findings indicate that Perfectionism is effective in exacerbating Coronavirus anxiety, and Self-compassion is effective in modulating it. These variables can play an important role in general health policies, the diagnosis, prevention, and treatment of Coronavirus anxiety.

Objective: the present study aimed at studying the relationship between job stress and personality traits and also if the effect of job stress on personality traits was moderated by social support. Method: The populations consisted of offshore personnel working in Iranian Offshore Oil Company (IOOC) in Kharg Island. 234 participants using convenience sampling answered three questionnaires (job stress, very brief NEO-form, and perceived social support of family-scale). Four main hypotheses using structural equation analysis were examined. Results: The findings showed a predictive effect between the personality traits and job stress except for openness to experience such that job stress had an increasing effect on neuroticism and a decreasing effect on extraversion, agreeability, and conscientiousness. Social support, on the other hand, as a moderator decreased the effects of job stress on personality traits except for openness to experience, extraversion, and agreeability such that it decreased neuroticism and increased conscientiousness. Conclusion: the results generally revealed the predictive effects of job stress on personality traits and showed that social support, as a buffer, can reduce the effects of job stress on personality traits. The results were discussed based on the existing models on personality changes.

Abstract Objective: Multiple sclerosis is a chronic and disabling disease. The purpose of the present research was to examine the effectiveness of cognitive-behavioral stress management training on the resilience of patients with multiple sclerosis Method: This research was a quasi-experimental design with pre-test, post-test and follow-up, and a control group. The statistical population included female patients with MS referred to the Dr. Shahbigi Neurology Clinic in Tehran. 30 patients were selected by purposeful sampling method and assigned to the two groups experimental and control group randomly. The experimental group underwent ten sessions of stress management training based on the Cognitive Behavioral Model. Data were collected using the Connor Davidson Resilience Scale. Research data were analyzed using Mixed Repeated Measures ANOVA. Results: The results revealed that cognitive-behavioral stress management training can significantly enhance the resilience of patients with MS. Conclusion: Therefore, the use of cognitive-behavioral stress management training can be effective in improving the resilience of patients with MS.

The purpose of the present study was to predict self-efficacy of women with breast cancer based on quality of life, religious orientation, resilience, death anxiety, psychological hardiness and perceived social support. The research method was descriptive and regression type. The statistical population in this study included all patients with breast cancer referring to Cancer Institute of Imam Khomeini and Milad hospitals in Tehran in 2018. Purposeful sampling method was used to select the sample. In this way, 300 patients with breast cancer patients were selected based on the criteria for entering and leaving the research. The research tool was a general self-efficacy questionnaire of Sherer et al. (1982), multi-dimensional perceived social support questionnaire (Zimt et al., 1989), Allport Religious Orientation (1967), Kobasa Psychological Hardiness Questionnaire (1979), Templar's Death Anxiety Scale (1970) ), The Conor-Davidson Resilience Questionnaire (2003) and the World Health Organization Quality of Life Scale (1996). Regression analysis was used to analyze the data. The results of data analysis showed that factors of quality of life, religious orientation, resilience, death anxiety, psychological hardiness and perceived social support have 21% ability to predict self-efficacy. The factors of quality of life, resilience, psychological hardiness and social support with self-efficacy are positive at 5% confidence level, and the positivity of these coefficients actually indicates that increasing these factors increases self-efficacy (p <0.05). Death anxiety also has a significant negative correlation with self-efficacy (p <0.05).

Introduction: Quality of life (QOL) in cancer patients is more important than only being alive. In all types of the cancers because of disease, course of treatment and also complication of treatments, directly and indirectly patients’ QOL will change. So finding a way to improve QOL of cancer patients is one of the priority of our health system. One effective way is improvement of sense of coherence (SOC) which is one of the component of salthogenic medicine. In this research we want to know how much influence SOC has on QOL in cancer patients, in a systematic review. Methods and material: We aimed to do a systematic review so in our literature search strategy, we searched in some databases, such as pubmed, scopus, cochrane, web of science and Embase. Then appropriate studies in title, inclusion and exclusion criteria, were selected and their mark in Critical Appraisal Skills Program (CASP) criteria. 8 studies remained for us for our study. Then we extract the data and synthesis the results. Results: In this review, in most of the studies there was a strong association between SOC and QOL, but some confounders such as age, stage of cancer,… can increase or decrease the degree of this association. The differences between the kinds of questions in different questionnaires maybe made these differences. Conclusion: Taken together, there is a moderate correlation between SOC and QOL and some another factors can have effect on both of our variables .SOC can change cross sectional, so, we should do more research to find the factors that can improve the SOC in cancer patients.