فصلنامه روان شناسی بالینی
سال پانزدهم شماره 1 (پیاپی 57، بهار 1402)

Identifying the factors involved in Obsessive-compulsive disorder (OCD), especially compared to non-clinical groups, is of utmost importance. The aim of this  study is to compare thought-action fusion and self-compassion in individuals with different patterns of obsessive-compulsive disorder and normal individuals.

To perform the study, 45 participants with OCD symptoms, ie, checking obsession (n=15), washing obsession(n=15), and scrupulosity(n=15) who referred to  consultation and psychotherapy centers in Behbahan City and 45 healthy and normal individuals were selected using convenient sampling. The participants completed the Maudsley Obsessional Compulsive Inventory (MOCI), the Penn Inventory of Scrupulosity (PIOS), the Thought-Fusion Instrument (TFI) developed by Wells, Gwilliam, and Cartwright-Hatton (2001), and the Self-Compassion Scale developed by Reese et al. (SCS). Afterward, the collected data were analyzed using multivariate analysis of variance (MANOVA).

The results indicated a significant difference between normal individuals and individuals suffering from various patterns of OCD  via thought-action fusion (p<0.001) and self-compassion (p<0.001).

It seems that people suffering from OCD have a higher level of thought-action fusion and a lower level of self-compassion compared to normal healthy individuals.

 Social anxiety disorder with a frequency of 13% and a higher prevalence in teenage girls is the third most common mental disorder. Therefore, the purpose of this research was to investigate the integration of psychodrama with cognitive behavioral group therapy on the dimensions of interpersonal sensitivity and social anxiety for teenage girls.

The current study was a quasi-experimental study with a pre-test, post-test design, and follow-up with a control group. The statistical population included all ninth-grade female students of Sirjan City in the academic year 2021-22. After screening and initial diagnosis, 24 persons were conveniently selected and were randomly assigned to the experimental (n = 12) and the control (n =12) groups and the experimental group received integrated psychodrama and cognitive behavioral group therapy for 9 sessions (120 minutes per session) per week. The social anxiety Scale for Adolescents (SAS-A) and The InterPersonal Sensitivity questionnaire (IPSM) were used to collect data. Multivariate analysis of covariance (MANCOVA) was used to analyze the data.

 The results of multivariate analysis of covariance showed a significant effect of integration of psychodrama therapy with cognitive behavioral group therapy on reducing interpersonal sensitivity and social anxiety in the post-test and follow-up phase in the experimental group compared to the control group (P≤0/01)

  In general, the results indicated that the integration of psychodrama with cognitive behavioral group therapy was effective in improving social anxiety and reducing interpersonal sensitivity in adolescents due to the use of role-playing and objectification of internal imaginations and tendencies, as well as the emphasis on cognitive reconstruction

This study aimed to investigate mindfulness, difficulties in emotion regulation, self-silencing, and perceived stress as predictors of premenstrual syndrome.

The research design was descriptive and correlational study with structural equation modeling procedure. In this regard, using a multi-stage random sampling method, a sample of 380 female students of the Shahid Chamran University of Ahvaz was selected. Premenstrual Syndrome Screening Tool (PSST), Freiburg Mindfulness Inventory _ Short Form (FMI-SF), Difficulties in Emotion Regulation Scale (S-DERS), Silencing the Self Scale, and Perceived Stress Questionnaire was completed.

The results showed that there is a significant direct and negative relationship between mindfulness and perceived stress, but there is a significant direct and positive relationship between difficulties in emotion regulation and self-silencing with perceived stress. There was also a strong significant relationship between perceived stress and premenstrual syndrome. The most important finding suggests that perceived stress mediates the effects of mindfulness, difficulty in emotion regulation, and self-Silencing on premenstrual syndrome. According to the findings, the proposed model fits the data and is approved.

Based on the findings, it can be concluded that mindfulness, difficulty in emotion regulation, self-silencing, and perceived stress play an effective role in the risk of premenstrual syndrome. In this regard, lack of acceptance and awareness of emotions and suppression of emotions leads to high-stress perception. Ultimately, this pattern will culminate in experiencing more severe PMS symptoms.

Post-traumatic stress disorder may be observed at any age, it is more common in teenagers due to accelerating factors. This study has aimed to provide a model of the severity of symptoms of post-traumatic stress disorder based on alienation and temperament and character traits with the mediating role of metacognitive beliefs in teenagers. This study aimed to present of a model of the severity of post-traumatic stress disorder symptoms based on alienation and temperament characteristics with the mediating role of metacognitive beliefs in teenagers.

descriptive correlation and structural equation modeling was used in the study. The statistical population includes all secondary school students in the city of Qom who were in the academic year 2018-2019. 421 students (105 boys and 316 girls) were selected by the convenience sampling method and completed temperament and character inventory, alienation, metacognitive beliefs, and PTSD symptom severity. To analyze the data, a structural equation method was used with Imus software.

The results of the structural equation modeling showed that the measured model has a good fit with the conceptual model. The results of the model analysis showed that the direct effects of temperament and character and alienation and indirect effects with the mediation of metacognitive beliefs are significant on the severity of post-traumatic stress disorder symptoms (p<0.05). Metacognitive beliefs also had a direct and significant effect on the severity of PTSD symptoms (p<0.05).

The findings from the study showed that the loss of social support affected by alienation leads to a decrease in individual psychological resistance in facing crises and incidents, as well as metacognitive beliefs via creating concern about hypervigilance and focused attention on oneself causes the severity of post-traumatic stress disorder symptoms. Thus, it is possible to point out the influence of temperament, and character, alienation, and metacognitive beliefs on the mental health of teenagers in families.

 In the realm of psychotherapy, the utilization of speech emotion recognition technology holds promise in unraveling the factors that contribute to the varying effectiveness of psychotherapists. This valuable insight can significantly enhance the diagnosis and treatment methods employed. By identifying individuals at a heightened risk of suicide or displaying suicidal tendencies, we can take preventive measures, addressing a long-standing need within the field of psychology and ultimately reducing treatment expenses. Consequently, there is a pressing demand for the recognition of emotions through speech and the development of an extensive emotional database. However, amassing a substantial database with an ample number of samples would traditionally require several decades. To address this challenge, machine learning techniques such as data augmentation and feature selection play a pivotal role.  This paper introduces an innovative solution to address the challenge of training deep neural networks when the training data lacks diversity and is limited in each class. The proposed approach is an adversarial data augmentation network based on adversarial generative networks. This network consists of an adversarial generator network, an autoencoder, and a classifier. Through adversarial training, these networks combine feature vectors from each class in the feature space and integrate them into the database. Additionally, separate adversarial generative networks are proposed for each class, ensuring similarity between real and generated samples while creating emotional differentiation among different classes. To overcome the problem of excessive gradient reduction, which hinders proper training and halts the learning process before fully understanding the data distribution, the paper suggests using divergence and capture instead of mutual entropy error to generate high-quality synthetic samples.  The model's performance was evaluated on the Berlin Emotional Database, serving as training, testing and evaluation datasets. Combining artificial and real feature vectors effectively addressed the issue of excessive gradient shrinkage, resulting in a significant reduction in the network training process. The results demonstrated that the generated data from the proposed network can enhance speech signal emotion recognition, leading to improved emotional classification capabilities.

Characterized by recurrent unexpected attacks, panic disorder refers to one of the anxiety disorders, reaching its peak within a few minutes and being associated with various physical and cognitive symptoms like problems in emotional processing and information processing. The present research was carried out aiming at comparing emotion regulation strategies and early maladaptive schemas in individuals with and without panic disorder. To perform this causal-comparative study, 30 individuals with panic disorder referring to the psychiatric treatment centers of the city of Gorgan (Iran) and 30 of their normal counterparts were selected by purposive sampling method and  they completed The Liebowitz Social Anxiety Scale (LSAS), The Emotion Regulation Questionnaire (ERQ) , and The Yang Early Maladaptive Schemas Questionnaire (YEMSQ).Data were analyzed with multivariate analysis of variance (MANOVA) by SPSS software.  According to the findings, compared to their normal counterparts, individuals with panic disorder showed lower scores in the cognitive reappraisal strategy (P<0.05), besides higher scores in the emotional suppression strategy (P<0.05) and all the domains of early incompatible schemas (P<0.05). Given the present findings, training emotional regulation methods for the public as well as interventions aimed at treating early maladaptive schemas may play an effective role in preventing anxiety disorders, particularly panic disorders.

The objective of the current investigation was to evaluate the efficacy of cognitive-behavioral therapy (CBT) on non-suicidal self-injury, internalized stigma, positive affect, negative affect, and mania symptoms in bipolar patients. This research was conducted using a semi-experimental design of pre-test, post-test, and follow-up with experimental and control groups. The statistical population of this research included all patients with bipolar disorders who had been referred to Isfahan counseling centers in 2021 and were treated with mood stabilizers. The sample included 24 people (18 females, 6 males) who were selected using available sampling method and were randomly assigned to two experimental and control groups. The control group was placed on a waiting list, while the experimental group received cognitive-behavioral treatment for 12 sessions of 60 minutes each, one session per week. The research data were collected using Sanson's self-injury scale, King's internalized stigma scale, Watson's positive and negative affect scale, and Young's mania scale. Descriptive statistics (mean and standard deviation) and inferential statistics (variance analysis with repeated measures) were used to analyze the data. The findings of the research showed that the cognitive-behavioral therapy caused a significant decrease in the mean scores of the post-test and follow-up stages for non-suicidal self-injury (p<0.01, F=46.639, η2=0.679), internalized stigma (p<0.01, F=6.460, η2=0.227), negative affect (p<0.01, F=8.849, η2=0.287), and mania symptoms (p<0.01, F=27.519, η2=0.556) in bipolar patients. Results indicated significant differences between experimental and control groups for non-suicidal self-injury, internalized stigma, negative affect and mania symptoms in the post-test and follow-up stages.

the present study was conducted with the aim of analyzing the relationship between impulsivity, resilience and emotion regulation with the components of mental health in university students with self-harm behaviors.

The present research is descriptive and correlational. The initial sample was 508 undergraduate students of Guilan University in the academic year of 2018-2019, which completed the Self-harm Questionnaire, the short form of Psychological Symptoms Questionnaire, the short form of the Impulsivity Scale, the Emotional Regulation Scale, the short form of resilience scale. Based on the results of the self-harm questionnaire, 295 people with at least 1 history of self-harm were selected as samples. Data analysis was done by canonical correlation method.

The results showed that research variables had a significant conical correlation with mental health components including anxiety, depression and somatization in students with self-harm behaviors and the correlation coefficient was equal to 0.80. This correlation was positive with impulsivity and emotion regulation variables and negative with resilience (P<0.001). Also, 64% of changes in mental health components can be predicted. The highest canonical weight belonged to resilience (0.63) and depression (-0.62).

According to the results of this study, impulsivity, emotion regulation and resilience affect the mental health components of students with self-harm behaviors and in this way they can increase self-harm behaviors. The variable of resilience plays the most important role in this regard, so by resilience training to students when entering this course, self-harming behaviors and other mental health problems can be prevented.

Bipolar disorder type 1 is the most severe and common subtype of bipolar disorder. A study of how the symptoms of this disorder affect the recovery process can be used in the treatment and prevention of recurrence. Therefore, the aim of this study was Causal modeling of recovery from bipolar disorder based on sleep disturbance and mania-related memory bias, with the mediating role of working memory.

This cross-sectional study was performed by available sampling method on 126 patients with type 1 bipolar disorder in the manic phase who were referred to psychiatric offices. Sample subjects were reassessed for mania severity 30 days after completing the questionnaires and initial assessment. Data were analyzed using structural equation modeling and Smartpls-3 software.

The results showed that sleep disturbances and working memory are effective factors in recovery from the disorder (t <1.096 and P <0.05), but the relationship between mania-related memory bias and recovery from the disorder was rejected (96/96). 1> t and P> 0.05).

Sleep disturbances can directly or indirectly (by affecting working memory) and mania-related memory bias can also affect the recovery from bipolar disorder by affecting working memory.