Journal of Research in Psychopathology
Volume:4 Issue: 14, Autumn 2023

One area of growing interest in computational psychology is the analysis of psychopathological networks. Numerous related studies and several recent review articles have been published in this field. Understanding the characteristics, authors, relationships, and focus areas of the studies can provide greater benefits to researchers in this field. This article presents the first analysis of co-authorship networks in computational network-oriented psychopathology research. To this end, bibliographic data were collected from Google Scholar. Given the difficulty and potential for errors in manually reviewing the 2,799 research articles published between 2000 and 2022, co-authorship network analysis was conducted using machine learning methods for graph analysis. Network density, average degree, clustering coefficient, and the number of communities were calculated, and temporal changes were evaluated. Prominent authors were identified based on centrality measures. The co-authorship network for the entire period consisted of 6,025 nodes and 9,808 weighted edges. Time series analysis showed a linear correlation between the number of authors and the number of connections. Furthermore, the number of communities was linearly correlated with the number of authors. Identifying research clusters through topic modeling revealed that keywords such as user, event, family, and comments were the most commonly used representative texts in articles in this field. Additionally, we highlighted disorders that may have potential for more research in the field of network analysis, those with no related publications, for further investigation. Finally, the findings show a lack of collaboration between computer science researchers and specialists in this area.

The present study aimed to investigate the roles of distress tolerance, social support, and cognitive flexibility in predicting pain catastrophizing in patients with chronic low back pain (CLBP). The research design was descriptive and correlational. The study's population included all patients with CLBP in the 7th district in Tehran in 2022. The sample included 180 patients selected through the availability sampling. The participants completed questionnaires on distress tolerance, social support, cognitive flexibility, and pain catastrophizing. Data analysis was conducted using the Pearson correlation and multiple regression analysis with SPSS 24 software. The results of this research indicated that distress tolerance, social support, and cognitive flexibility had a significant negative correlation with pain catastrophizing (p < 0.05). The correlation coefficient of predictor variables with pain catastrophizing in patients with CLBP was 0.68. These variables could significantly predict 61% of the changes in pain catastrophizing in patients suffering from CLBP. In general, the obtained results demonstrate the relationship and the possibility of predicting pain catastrophizing through distress tolerance, social support, and cognitive flexibility in patients with CLBP. According to the findings of the research, increasing distress tolerance, social support, and cognitive flexibility can help control the extent of pain catastrophizing in CLBP patients.

This study aimed to assess the effectiveness of mindfulness-based cognitive therapy group training in enhancing autobiographical memory among working women with depression in Tehran in 2018. The research employed a quasi-experimental design with a pre-test-post-test and a control group. The population included all women working in schools in districts 1, 2, and 3 of Tehran. Thirty participants were selected through convenience sampling, randomly chosen from eligible women teachers with high depression scores who agreed to participate. As per the research design, the sample size for each experimental and control group was 15. The protocol involved eight weekly sessions lasting approximately 90 minutes each. The treatment was conducted by an experienced clinical psychologist using MBCT methods. The research tool was administered as a post-test. Data collection included the Beck Depression Inventory and Autobiographical Memories test. Descriptive statistics, such as mean and standard deviation, along with frequency and percentage, were measured. Inferential statistics were computed using the covariance test, and SPSS-20 software was utilized for data analysis The results, obtained through the analysis of covariance, indicated that mindfulness-based cognitive therapy group training was effective in enhancing autobiographical memory in working women with depression. MBCT treatment not only reduced the severity of depressive symptoms in working women but also improved autobiographical memory. In conclusion, this study provides empirical evidence supporting the underlying theory of MBCT. Teachers may benefit from extensive training and safe practice environments. Women with severe depression or dysfunctional cognition may particularly gain from the specific therapeutic effects of MBCT.

Given the high coexistence of panic disorder and illness anxiety disorder, this study aimed to compare illness anxiety disorder with panic disorder based on pain catastrophizing and anxiety sensitivity. The research followed a causal-comparative method, and the population included all patients with panic disorder and anxiety disorder referred to psychiatric and psychological clinics in Urmia city in 2023. The sample included 22 patients with panic disorder and 22 patients with illness anxiety disorder, selected in a non-random and purposeful manner. The research tools employed were Anxiety Sensitivity (AS) (Taylor & Cox, 1998) and the Pain Catastrophizing Scale (Sullivan et al., 1995). Data analysis was conducted using multivariate analysis of variance in SPSS software version 26. The results of variance analysis indicated a significant difference between the two groups—panic disorder and illness anxiety disorder—in terms of anxiety sensitivity and catastrophizing structures. According to the research findings, anxiety sensitivity and pain catastrophizing are common cognitive constructs in both panic disorder and illness anxiety disorder. However, individuals with panic disorder exhibited significantly greater anxiety sensitivity.

This study aimed to investigate the effectiveness of client-centered therapy on the resilience and hope of women who have attempted suicide. It is an applied and semi-experimental study employing a multiple baseline single-case study design. The statistical population comprises all women who attempted suicide and were referred to the social emergency center of Meybod City in 2018. Three women were selected through purposive sampling. Data were collected using the Connor-Davidson Resilience Scale and Snyder State Hope Scale in three phases: baseline, intervention, and follow-up. The collected data were analyzed using graphical analysis and improvement percentage. The results indicated an increasing trend in participants' scores in psychological resilience and hope from the beginning of the treatment sessions. This positive trend was maintained throughout the treatment and follow-up periods. The findings suggest that client-centered therapy has been effective in improving and increasing cognitive resilience and hope among women who had attempted suicide.

Eating disorders and body image significantly impact the physical and mental health of females. This study aimed to compare eating disorders and body image between athlete and non-athlete females. The research design employed a casual-comparative approach. The statistical population included all female students at Mohaghegh Ardebili University in 2019, with 30 female students from the physical education selected through convenience sampling as the athlete group. Additionally, 30 female students without regular physical activity were chosen as the non-athlete group. Data were collected using the Eating Attitudes Questionnaire-26 and the Self-Body Multidimensional Relationship Questionnaire. The obtained data were analyzed through multivariate analysis of variance using SPSS software, Version 22. The results revealed that mean scores of eating disorders in female athletes were lower than those in non-athlete females, while the mean scores of body image in athlete females were higher than in non-athlete females (P < 0.05). In conclusion, the results of this study suggest that exercise can contribute to the reduction of eating disorders and improvement of body image in females.