Introduction: The purpose of present study was to investigate prediction of depression based on components of self- compassion (self- kindness, self- judgment, common humanity, isolation, mindfulness and excessive cognition) in girl students with emotional breakdown experience in Ahvaz universities.Method: The present research method was correlational. The participants of study were 180 girl students who have experienced emotional breakdown during past year. The sample was selected by using purposive sampling and snowball sampling method. Data collection tools included 13-item Beck Depression Inventory and Neff Self-Compassion Inventory.Results: Discriminant analysis method was used to analyze data. Results showed that linear combination of study's variables can predict depression among girl students of Ahwaz universities. Also in stepwise discriminant analysis showed that the most efficient variables in prediction of depression were 1- mindfulness, 2- isolation, 3- self- judgment and 4- self- kindness respectively. In investigation of variables separately released that all variables including self- kindness, self- judgment, common humanity, isolation, mindfulness and excessive cognition were significant prediction for depression among girl students of Ahwaz universities.Conclusion: Based on the results of this study it can be concluded that self- compassion can predict depression among girl students with emotional breakdown experience in Ahvaz universities.

Considering the vital importance of the well-being of the elderly and the rapid growth of their populations, it seems necessary to explore the role of various variables in their well-being. Therefore, the present research has been conducted with the aim of studying the relationship between psychological well-being and religiosity and self-compassion in the elderly. This is an applied research in terms of purpose and in terms of implementation method, it is descriptive correlational. The statistical population of this study includes all the 1190 elderly living in Kermanshah's part-time nursing homes, of which 700 are male and 490 are female over the age of 55. Using Morgan’s table, a sample of 300 men was selected. The research tools include Ryff’s Psychological Well-Being Scale (PWB), Muslim Attitudes toward Religion Scale (MARS; Wilde& Joseph, 1997), and Self-Compassion Scale-Short Form (SCS-SF; Raes et al., 2012). Pearson’s correlation coefficient method and stepwise regression analysis were used to analyze the data. The findings show that there is a positive and significant relationship between religiosity (r=0.46) and self-compassion (r=0.61) with psychological well-being (P<0.001). The results of regression analysis also show that, personal assistance, mindfulness, isolation and religious rituals can predict 57% of the variance of psychological well-being in the elderly. Therefore, by increasing religiosity and self-compassion in life, psychological well-being can be increased.

Introduction and Aims: The aim of the present study was the evaluation of mindfulness-based cognitive therapy efficacy on self-compassion of patients with mixed anxiety-depression disorder.Materials and Methods: Three participants with mixed anxiety-depression disorder were selected by available sampling. Participants evaluated 9 times by Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI-II) and Neff self-compassion Scale (SCS). For data analysis, we employed procedure index, Cohen’ rate of variability, interpretation of ups and downs in the graphs. In the hand to determine the clinical significant percent recovery and effect sizes were recruited.Results: MBCT significantly increased self-compassion in patients who received MBCT and also controlled their anxiety, depressive signs and symptoms in their follow-up (60 days).Conclusion: MBCT can imply high efficacy in terms of self-compassion and it can decrease depression and anxiety of participants.

Background and Objectives: Over the past decade self-compassion has gained popularity as a complementary construct to mindfulness, and research on self-compassion is growing at different scopes of psychological sciences. The aim of the present study was to develop a Persian version of self-compassion scale (SCS-P) and to examine its psychometric properties.Materials and Methods: In this descriptive study, SCS-P, after preparation using back-translation, was administrated on 377 students from Mashhad University. The reliability of SCS-P was assessed via internal consistency, test-retest, and item-rest correlations methods. Also, the factor structure of scale was assessed using confirmatory factor analysis.Validity assessment was done through using correlations between subscales, content, divergent, convergent, and criterion validity.Results: Cronbach’s alpha coefficients ranging from 0.68- 0.77, Cronbach’s alpha coefficients of total scale of 0.90, test-retest coefficients ranging from 0.56- 0.71, and item-rest correlations ranging from 0.54-0.78 suggested that SCS-P had a good reliability. The results of the confirmatory factor analysis indicated acceptable items fitness. Also, the model of intercorrelation among the subscales ranging from 0.32-0.65, content, divergent, convergent, and criterion validity showed good validity.Conclusion: In sum, it can be said that SCS-P has good psychometric properties and is a reliable and valid instrument in research screening, diagnostic, and therapeutic situations.

Background: Considering high prevalence of psychiatric disorders in patients with type 2 diabetes, this study aimed to investigate the predicting role of psychological flexibility and self-compassion against depression, anxiety, and stress in patients with type 2 diabetes in Khorramabad City, Iran.Methods: In this periodical quantitative study, participants consisted of 102 men and women with type 2 diabetes selected from clinics using convenient sampling method. To collect the data, Neff Self-Compassion Scale-Short Form, Acceptance and Action Questionnaire-II, and Depression, Anxiety and Stress Scale-21 (DASS-21) were used. Data were analyzed using Pearson correlation coefficient and stepwise regression tests via SPSS software.Findings: There was a significant negative correlation between psychological flexibility and self-compassion with variables such as depression, anxiety, and stress (P < 0.050 for all). In addition, self-compassion determined stress and anxiety variables better, and psychological flexibility only determined depression variable better.Conclusion: In general, individuals with high self-compassion and psychological flexibility have less stress, anxiety, and depression. So, it is recommended to exercise suitable practices to increase self-compassion and flexibility in patients with type 2 diabetes.

The aim of the present study was examining the contribution of sense of coherence and self-compassion in predicting flourishing in university students. This study was descriptive and correlational. In order to achieve the goals of the study, 347 university students were selected among all male and female undergraduate, masters and Ph. D. students of Islamic Azad University of Sciences and Research Branch of Tehran in the second semester of the academic year of 2016-2017 by multistage cluster sampling method. Neff’ s Self-Compassion Scale, Sense of Coherence Scale by Antonovsky and Flourishing Questionnaire by Butler-Kern were used to collect the data. Pearson correlation analysis and simultaneous liner regression were used to analyze the data. The findings showed there is a positive and significant correlation between flourishing and mindfulness and there is a negative and significant correlation between comprehensibility, extreme identification and flourishing. Among self-compassion subscales, mindfulness, and among the sense of coherence subscales, comprehensibility and controllability could predict flourishing. Considering the importance of the sense of coherence and Self-Compassion in predicting Flourishing, it is recommended to consider these components in order to increase the Flourishing of different people.

Background and Objective: Prevalence of obesity globally has increased in recent years, which is associated with an elevated risk of various diseases and increased healthcare expenses. Understanding the psychological determinants involved in obesity is important for the development of new interventions. Thus, the current study aimed to compare dispositional mindfulness and self-compassion among women with high and normal body mass index (BMI).Materials and Methods: This causal-comparative study was conducted with participation of 200 adult women (100 women with high BMI and 100 women with normal BMI). Participants were selected through convenience sampling method from Tehran. Participants were asked to complete self-report inventories including the Mindful Attention Awareness Scale (MAAS), and Self-compassion Scale (SCS) which were used as measurement instruments. Data were analyzed by Independent t-test in SPSS-22 software.Results: The mean (SD) of dispositional mindfulness score in high BMI group was significantly lower than normal BMI group: 59.3 (11.3) versus 64.5 (9.5), P<0.01. Furthermore, total score of self-compassion in high BMI group was significantly lower than normal BMI group: 77.4 (14.5) versus 83 (12.8), (P<0.01). The mean (SD) of self-judgment score 14.5 (3.8); 12.9 (3.8) (P<0.01), isolation 12.6 (3.4); 10.9 (2.8) (P<0.01), and over-identification 12 (3.6); 11.1 (2.7) (P<0.05) was significantly higher in high BMI group than normal BMI group; but in common humanity 11.5 (2.8), 12.4 (2.7) (P<0.05) and mindfulness 12 (2.9); 12.9 (2.5) (P<0.05) the scores of high BMI group was significantly lower than normal BMI group.Conclusion: The study showed that women with high BMI had less dispositional mindfulness and self-compassion compared with those with normal BMI. It could be suggested that these psychological constructs be aimed in therapeutic interventions.