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Aim: The growing prevalence of digital games and their potential impact on mental health highlight the need to identify protective mechanisms against possible negative effects. The present study aimed to investigate the role of parental phubbing and ego-resilience in adolescents’ tendency toward digital game addiction: a neural network approach. Method: This research employed a descriptive-correlational design. The statistical population included all male high school students (second cycle) in public schools of Karaj during the 2024 academic year. A total of 300 students were selected using a cluster random sampling method and completed the Digital Game Addiction Scale by Başol et al. (2018), the Parental Phubbing Scale by Ding et al. (2020), and the Ego-Resilience Scale by Block and Kremen (1996). The collected data were analyzed through an artificial neural network using the multilayer perceptron (MLP) approach in SPSS version 26. Results: The findings indicated that parental phubbing and ego-resilience significantly contributed to predicting digital game addiction among adolescents (p< 0.01). Neural network analysis revealed that parental phubbing positively predicted digital game addiction, whereas ego-resilience negatively predicted it. Parental phubbing emerged as the strongest predictor (100%), while ego-resilience served as a protective factor (57.8%). Moreover, the artificial neural network model accurately captured the trends and variations of digital game addiction based on these variables. Conclusion: The results demonstrated that parental phubbing and ego-resilience are critical factors in explaining adolescents’ digital game addiction. Moreover, the artificial neural network model showed high accuracy in predicting the intensity and course of this addiction.

Objective: The present study aimed to compare the effectiveness of group compassion training and group choice theory training on mindfulness and needs satisfaction in couples at risk of divorce in Rasht. Methods: This research employed a quasi-experimental design with a pre-test, post-test, and control group, including a follow-up phase. The statistical population consisted of couples at risk of divorce who referred to counseling centers approved by the Welfare Organization of Rasht in 2023. A total of 60 participants were selected through convenience sampling and randomly assigned to two experimental groups (compassion training and choice theory training) and one control group (20 participants in each group). The research utilized the Mindful Attention Awareness Scale (MAAS) and the Basic Psychological Needs Satisfaction Scale as the main instruments. Both interventions were conducted in eight 90-minute sessions. Data were analyzed using repeated measures ANOVA with SPSS 26. Findings: The results revealed significant differences in the effectiveness of group compassion training and group choice theory training (p < .01). Group compassion training was found to be more effective than choice theory training in improving mindfulness and needs satisfaction. Both training types significantly impacted mindfulness and needs satisfaction in couples at risk of divorce (p < .01). Conclusion: Both group compassion training and group choice theory training were effective in improving mindfulness and needs satisfaction among couples at risk of divorce, with compassion training showing greater effectiveness. These findings suggest that compassion training may provide a more suitable approach for enhancing psychological well-being in couples facing marital challenges.

Objective: Hypertension is one of the most prevalent chronic diseases, which, if not properly managed, can lead to numerous psychological and social consequences in addition to physical health issues, ultimately reducing quality of life. The present study aimed to investigate the effectiveness of emotion regulation-based therapy on anger rumination and health-related quality of life (HRQoL) in patients with primary hypertension. Method: This semi-experimental study employed a pretest-posttest control group design with a two-month follow-up. The statistical population consisted of all women diagnosed with primary hypertension who were referred to Moheb Hospital in Tehran in 2025. Using convenience sampling, 30 participants were selected and randomly assigned to two equal groups (15 participants each). Data were collected using a demographic information checklist, the Anger Rumination Scale, the Health-Related Quality of Life Questionnaire, and a digital upper arm blood pressure monitor. The intervention group received emotion regulation-based therapy based on Gross’s protocol, delivered in 8 sessions (twice weekly, each session lasting one hour). Data analysis was conducted using repeated measures ANOVA and Bonferroni post hoc tests. All ethical issues were addressed in this study, and the authors declare that they have no conflicts of interest. Results: Emotion regulation-based therapy had a significant effect on reducing anger rumination (F = 89.365, p < 0.015), Reduction in systolic blood pressure (F=22.621 and p<0.011), Reduction in diastolic blood pressure (F=40.076 and p<0.006), and improving health-related quality of life (F = 97.943, p < 0.002) in patients with primary hypertension. The effect sizes for anger rumination and HRQoL were 0.36, Systolic blood pressure 0.40, diastolic blood pressure 0.38, and 0.47, respectively. These effects persisted at the two-month follow-up. Conclusion: The findings indicate that emotion regulation-based therapy can effectively enhance behavioral outcomes, blood pressure, and improve quality of life in individuals with hypertension. It is recommended that such psychological interventions be integrated with pharmacological treatments in rehabilitation and care programs to enhance the psychological and behavioral functioning of these patients.

The present study aimed to predict guilt based on social anxiety and social-emotional loneliness in working women seeking divorce. This study is applied in terms of its purpose and descriptive correlation type. The statistical population of this study consisted of all working women seeking divorce in Tehran in 2024. 200 people were selected through purposive sampling from the family counseling centers of the judiciary. The research tools included the Guilt Inventory by Kugler and Jones (1992); the Social Phobia Inventory by Connor et al. (2000) and the UCLA Loneliness Scale by Russell (1996). The research data were analyzed using stepwise regression analysis and SPSS-22 software. The results showed that there is a positive and significant relationship between social anxiety and loneliness with guilt at the 0.01 level. Social anxiety (P=0.009, β=0.183) positively and at a significance level of 0.01 predicted guilt, and loneliness (P=0.005, β=0.197) positively and at a significance level of 0.01 predicted guilt. In general, the results showed that guilt feelings are predicted based on social anxiety and social-emotional loneliness in working women seeking divorce.